Tag Archives: disrupts

SARS-CoV-2 disrupts host epigenetic regulation via histone mimicry

A549ACE cells

ACE2-expressing A549 cells were generated as previously described3. A549ACE2 cells were grown in RPMI-1640 with 10% FBS and 1% penicillin-streptomycin and were maintained free of mycoplasma. Cells were infected at an MOI of 1 and fixed or lysed at 24 or 48 h after infection.

HEK293T cells

HEK293T cells were obtained from the American Type Culture Collection (ATCC), cultured in DMEM (with 4.5 g L–1 glucose, l-glutamine and sodium pyruvate) supplemented with 10% FBS (Sigma-Aldrich, F2442-500ML) and 1% penicillin-streptomycin (Gibco, 15140122) and maintained free of mycoplasma. Calcium phosphate transfection was used to introduce plasmid DNA encoding GFP, ORF8 and mutant ORF8 into HEK293T cells. For immunocytochemistry experiments, cells were plated on poly(d-lysine)-coated coverslips. Cells were washed 24 h after transfection with culture medium and fixed or pelleted and flash frozen 48 h after transfection. Cells were fixed using 4% paraformaldehyde (PFA) in PBS for 8 min. To pellet cells, cells were detached from the culture plate using TrypLE Express (Gibco, 12605010) dissociation reagent, spun down for 5 min at 180 g and flash frozen in liquid nitrogen.

iAT2 cells

Generation of human-derived induced alveolar epithelial type II-like (iAT2) cells was performed as described44. To maintain a stable and pure culture of the iAT2 cell line, SFTPCtdTomato+ cells were sorted and serially passaged every 14 d. Cells were grown in organoid format using 90% Matrigel with a cell density of 400 cells per µl. Cells were fed using CK+DCI medium + Rock inhibitor for the first 48 h after splitting and then changed to K+DCI medium for 5 d followed by CK+DCI medium for 7 d. Every 14 d, alveolosphere organoids were passaged, organoids were released from Matrigel using 2 mg ml–1 Dispase for 1 h at 37 °C and single cells were then generated using 0.05% trypsin for 15 min at 37 °C. Cell number and viability were assessed using Trypan blue, and cells were finally passaged to new Matrigel drops left to polymerize for 30 min at 37 °C in a 5% CO2 incubator, after which cells in solidified Matrigel were fed according to plate format.

For the generation of two-dimensional (2D) alveolar cells for virus infection, when alveolosphere organoids were passaged, cells were plated on precoated 1:30 Matrigel plates at a cell density of 125,000 cells per cm2 using CK+DCI medium + Rock inhibitor for the first 48 h, and the medium was then changed to CK+DCI medium. Seventy-two hours after cell plating, cells were infected with SARS-CoV-2 virus using an MOI of 1 for 48 h.

Cell line validation and testing

Cell lines were authenticated as previously described3. HEK293T and Vero E6 cells were obtained from ATCC at the onset of this project. All cell lines used were confirmed to be negative for mycoplasma and are retested twice annually.

ORF8 constructs

The ORF8 expression plasmid was obtained from Addgene, pLVX-EF1alpha-SARS-CoV-2-orf8-2xStrep-IRES-Puro (Addgene plasmid 141390). ORF8 deletion constructs were produced on the ORF8 backbone using Pfu Turbo HotStart DNA polymerase (Agilent, 600322-51), and primers were created using the DNA-based primer design feature of the online PrimerX tool. Constructs were verified by Sanger sequencing.

SARS-CoV-2 infection

Virus generation

SARS-CoV-2 (USA-WA1/2020 strain) was obtained from BEI and propagated in Vero E6 cells. The genome RNA was sequenced and found to be identical to GenBank MN985325.1. Mutant viruses were generated using the cDNA reverse genetics system as previously described42.

Infections

Cells were infected with wild-type or mutant SARS-CoV-2 at an MOI of 1 PFU per cell (A549ACE2) or 5 PFU per cell (iAT2) as previously described3. Virus was added to cells for 1 h at 37 °C and was then removed and replaced with medium. Cells were lysed at 48 h after infection and RNA was isolated. All infections and virus manipulations were conducted in a Biosafety Level 3 (BSL3) laboratory using appropriate protective equipment and protocols.

Viral growth kinetics and plaque assays

Growth kinetics analysis and plaque assays were performed as previously described3. In brief, at the indicated time points, 200 µl of supernatant was collected from cells and stored at −80 °C for titration of infectious virus. Samples were diluted in serum-free DMEM and adsorbed onto Vero E6 cells at 37 °C for 1 h before a liquid overlay was added (DMEM with 2% FBS, 1× sodium pyruvate and 0.1% agarose). After 3 d, the overlay was removed and cells were fixed with 4% PFA and stained with crystal violet for plaque visualization and counting. All plaque assays were performed in biological triplicate and technical duplicate.

Viral genome quantification by qRT–PCR

RNA collection, qRT–PCR and viral genome quantification were performed as previously described3. In brief, at the indicated time points, infected cells were lysed using RLT Plus Buffer, genomic DNA was removed and RNA was extracted using the Qiagen RNeasy Mini kit (Qiagen, 74134). cDNA was generated using a High-Capacity cDNA Reverse Transcriptase kit (Applied Biosystems, 4368814). cDNA was amplified using specific qRT–PCR primers targeting viral NSP12 (forward, 5′-GGTAACTGGTATGATTTCG-3′; reverse, 5′-CTGGTCAAGGTTAATATAGG-3′), iQ SYBR Green Supermix (Bio-Rad, 1708880) and the QuantStudio 3 PCR system (Thermo Fisher). Quantification of SARS-CoV-2 genome copies was performed using a standard curve generated by serially diluting a known concentration of the pcDNA6B-nCoV NSP12-FLAG construct encoding the RDRP gene (a gift from G. Stark, Cleveland Clinic) after digestion with XhoI. Genome copy numbers were determined using standard curve analysis in QuantStudio 3 software, and copy numbers per microgram of RNA were calculated using the cDNA reaction volumes and input RNA for the cDNA reactions.

Cell fractionation

Pelleted cells were briefly thawed on ice. Buffer 1 (15 mM Tris-HCl (pH 7.5), 60 mM KCl, 15 mM NaCl, 5 mM MgCl2, 1 mM CaCl2 and 0.25 M sucrose with 1 mM PMSF, 1 mM DTT and a Complete Protease Inhibitor cocktail tablet added immediately before use) was added to the pellet at roughly five times the volume of the pellet and gently pipetted up and down to dissociate the pellet. Samples were incubated on ice for 5 min, followed by addition of an equal volume of buffer 1 with 0.4% NP-40 to the sample. Samples were then mixed by inversion for 5 min at 4 °C. Samples were spun at 200 g for 10 min in a prechilled centrifuge to pellet nuclei. The supernatant (cytoplasmic fraction) was transferred to a new tube. Pellets were resuspended gently in 0.5 ml buffer 1 to wash the nuclei and then pelleted again with the supernatant discarded. Nuclear pellet solubilization buffer (150 mM NaCl, 50 mM Tris-HCl (pH 8.0), 1% NP-40 and 5 mM MgCl2 with 1 mM PMSF, 1 mM DTT and Benzonase enzyme at 250 U µl–1 added shortly before use) was added to the pellet at half the volume of buffer 1 used. Samples were then incubated at room temperature in a thermoshaker until the pellet was fully dissolved. The amount of Benzonase enzyme was doubled in samples with undissolved material left after 20 min. Samples were then centrifuged at 13,000 r.p.m. for 20 min at 4 °C. Supernatant (nuclei fraction) was collected. Sample concentrations were determined by BCA assay, and samples were boiled in a western loading buffer for 10 min before analysis by western blotting.

Chromatin sequential salt extraction

Salt extractions were performed as described51. In brief, a 2× RIPA solution was made (100 mM Tris (pH 8.0), 2% NP-40 and 0.5% sodium deoxycholate) and mixed with varying concentrations of a 5 M NaCl solution to generate RIPA containing 0, 100, 200, 300, 400 and 500 mM NaCl. Pelleted cells were resuspended in buffer A with protease inhibitors (0.3 M sucrose, 60 mM KCl, 60 mM Tris (pH 8.0), 2 mM EDTA and 0.5% NP-40) and rotated at 4 °C for 10 min. Nuclei were pelleted by centrifugation at 6,000 g for 5 min at 4 °C. Supernatant was removed and saved, and 200 µl of RIPA with 0 mM NaCl and protease inhibitors was added to the sample. Samples were mixed by pipetting 15 times and incubated on ice for 3 min before centrifuging at 6,500 g for 3 min at 4 °C. Supernatant was saved and the RIPA steps were repeated for all NaCl concentrations. Samples were then boiled and sonicated before analysis by western blotting.

ATAC-seq

HEK293T cells were stained and sorted to isolate transfected cells using the same method as described below. Sorted cells were resuspended in cold lysis buffer (10 µl per 10,000 cells; 10 mM Tris-Cl (pH 7.5), 10 mM NaCl, 3 mM MgCl2, 0.1% (vol/vol) NP-40, 0.1% (vol/vol) Tween-20 and 0.01% (vol/vol) digitonin) and washed in wash buffer (10 mM Tris-Cl (pH 7.5), 10 mM NaCl, 3 mM MgCl2 and 0.1% (vol/vol) Tween-20). Transposition was performed with Tagment DNA TDE1 (Illumina, 15027865). Transposition reactions were cleaned with AMPure XP beads (Beckman, A63880), and libraries were generated by PCR with NEBNext High-Fidelity 2× PCR Master Mix (NEB, M0541). Library size was confirmed on a Bioanalyzer before sequencing on the NextSeq 550 platform (40-bp read length, paired end).

Infected A549ACE cells were fixed before collection for ATAC-seq. The protocol was performed as above except with 0.05% Igepal CA-630 added to the lysis buffer. In addition, after the transposase reaction, a reverse cross-linking solution was added (with a final concentration of 50 mM Tris-Cl, 1 mM EDTA, 1% SDS, 0.2 M NaCl and 5 ng ml–1 proteinase K) up to 200 μl. The mixture was incubated at 65 °C with shaking at 1,000 r.p.m. in a heat block overnight and then purified as above.

For ATAC-seq analysis, alignments were performed with Bowtie2 (2.1.0)52 using the hg38 genome with the pipeline at https://github.com/shenlab-sinai/chip-seq_preprocess. Reads were mapped using NGS plot. For HEK293T cell ATAC-seq, genes with high, intermediate, low and no expression were defined by DESeq2 normalized basemean values from HEK293T cell RNA-seq data with under 2 basemean as non-expressing genes and the remaining genes binned into three groups for low, intermediate and high expression. For A549ACE cell ATAC-seq, three biological replicates each with 2–3 technical replicates were performed. Ten million reads from each individual technical replicate were subsetted (SAMtools v1.9, seed 1) and merged, and each condition was then merged across biological replicates. For average profile plots, each condition was downsampled to 40 million reads and plotted against all genes identified by DESeq2 as expressed over 1 from A549ACE RNA-seq data.

ChIP–seq

For ORF8 ChIP–seq, 2 d after transfection, cells were fixed for 5 min with 1% PFA in PBS and the reaction was then quenched with 2.5 M glycine. Cells were washed twice, collected in PBS with protease and phosphatase inhibitors and then pelleted at 1,200 r.p.m. for 5 min. Cells were then rotated in lysis buffer 1 (50 mM HEPES-KOH (pH 7.5), 140 mM NaCl, 1 mM EDTA, 10% glycerol, 0.5% NP-40 and 0.25% Triton X-100) for 10 min at 4 °C and spun at 1,350 g for 5 min at 4 °C to isolate nuclei. Supernatant was discarded and cells were resuspended in lysis buffer 2 (10 mM Tris-HCl (pH 8), 200 mM NaCl, 1 mM EDTA and 0.5 mM EGTA) to lyse nuclei. Samples were rotated for 10 min at room temperature and were spun again at 1,350 g for 5 min at 4 °C. The supernatant was discarded and the pellet was resuspended in lysis buffer 3 (10 mM Tris-HCl (pH 8), 100 mM NaCl, 1 mM EDTA, 0.5 mM EGTA, 0.1% EDTA and 0.5% N-lauroylsarcosine). Lysates were sonicated on a Covaris sonicator for 40 min (200 cycles per burst). Triton X-100 was added to reach a final concentration of 1%, and lysates were spun at 20,000 g for 10 min at 4 °C. Strep-Tactin magnetic beads (MagStrep type 3 XT beads; IBA, 2-4090-002) were added to the lysates overnight with rotation at 4 °C. Beads were then washed with a low-salt buffer (0.1% SDS, 1% Triton X-100, 2 mM EDTA, 20 mM Tris (pH 8) and 150 mM NaCl), a high-salt buffer (0.1% SDS, 1% Triton X-100, 2 mM EDTA, 20 mM Tris (pH 8) and 500 mM NaCl), a LiCl wash buffer (150 mM LiCl, 1% NP-40, 1% sodium deoxycholate, 1 mM EDTA and 10 mM Tris (pH 8)) and then TE with 50 mM NaCl. Chromatin was eluted from beads for 30 min with shaking at room temperature in 55 µl BXT elution buffer (IBA, 2-1042-025) followed by the addition of 150 µl elution buffer (50 mM Tris-HCl (pH 8.0), 10 mM EDTA and 1% SDS) for 30 min at 65 °C. Samples were removed from beads and cross-linking was reversed by further incubating chromatin overnight at 65 °C. RNA was digested with RNase for 1 h at 37 °C, and protein was digested with proteinase K for 30 min at 55 °C. DNA was then purified with the Zymo PCR purification kit. The Illumina TruSeq ChIP purification kit was used to prepare samples for sequencing on an Illumina NextSeq 500 instrument (42-bp read length, paired end).

For ORF8 ChIP–seq analysis, alignments were performed with Bowtie2 (2.1.0)52 using the hg38 genome with a ChIP–seq pipeline (https://github.com/shenlab-sinai/chip-seq_preprocess). ORF8 reads were mapped using NGS plot. For comparison with histone modification ChIP–seq datasets, ENCODE and 4D nucleome data were used for H3K9ac (experiment ENCSR000ASV), lamin (4DN experiment set 4DNES24XA7U8), H3K9me3 (experiments ENCSR000FCJ and ENCSR179BUC), H3K9me2 (experiment ENCSR55LYM) and H3K27me3 (experiment ENCSR000AKD). To define ORF8-enriched regions, HiddenDomains was used for each of two ORF8 ChIP–seq experiments normalized to input. Output files were merged with bedtools (v2.18.1) intersect to select the subset of enriched regions found in both replicates. DiffBind (3.4.11) was used to examine H3K27me3 enrichment within ORF8-enriched regions. The Deeptools (3.3.0) plotEnrichment tool was used to count percentages of reads of histone modification ENCODE ChIP–seq datasets that were within ORF8-enriched regions. ngs.plot.r (2.63) was used to generate plots of ORF8 enrichment within genomic regions of interest.

For histone PTM ChIP–seq, 4–10 million cells were resuspended in 1 ml of lysis buffer 1 (50 mM HEPES-KOH (pH 7.5), 140 mM NaCl, 1 mM EDTA, 10% glycerol, 0.5% NP-40 and 0.25% Triton X-100) and rotated at 4 °C for 10 min, followed by centrifugation and removal of supernatant. Cells were then resuspended in 1 ml of lysis buffer 2 (10 mM Tris-HCl (pH 8.0), 200 mM NaCl, 1 mM EDTA and 0.5 mM EGTA) and rotated for 10 min at 4 °C, followed by centrifugation and removal of supernatant. Cells were then resuspended in 1 ml of lysis buffer 3 (10 mM Tris-HCl (pH 8.0), 100 mM NaCl, 1 mM EDTA, 0.5 mM EGTA, 0.1% sodium deoxycholate and 0.5% N-lauroylsarcosine) and rotated again for 10 min at 4 °C. Cells were then sonicated with a Covaris S220 sonicator for 35 min (peak incident power, 140; duty factor, 5%; cycles per burst, 200). This was followed by addition of 110 µl Triton X-100 and centrifugation at maximum speed (20,000 g) for 15 min at 4 °C to clear the lysate. The lysate chromatin concentration was then equalized according to DNA content (as measured with a Qubit fluorometer). Following this, 5% of equivalently treated chromatin from Camponotus floridanus pupae was added to all samples according to chromatin concentration, and 50 µl of lysate was saved as input shearing control. Then, 250 µl of equalized lysate was added to washed, antibody-conjugated Protein A/G Dynabeads (2 µg of antibody conjugated to 15 µl of Protein A/G Dynabeads, resuspended in 50 µl per immunoprecipitation), and immunoprecipitations were rotated overnight at 4 °C in a final volume of 300 µl. The following day, immunoprecipitations were washed five times in RIPA wash buffer (50 mM HEPES-KOH (pH 7.5), 500 mM LiCl, 1 mM EDTA, 1% NP-40 and 0.7% sodium deoxycholate) and once in TE (pH 8.0). Washes were followed by two elutions into 75 µl of elution buffer (50 mM Tris-HCl (pH 8.0), 10 mM EDTA and 1% SDS) at 65 °C for 45 min with shaking (1,100 r.p.m.). DNA was purified by phenol:chloroform:isoamyl alcohol (25:24:1) extraction followed by ethanol precipitation. Pelleted DNA was resuspended in 25 µl TE. Libraries for sequencing were prepared using the NEBNext Ultra II DNA Library Prep Kit for Illumina (NEB, E7645), as described by the manufacturer but using half the volume for all reagents and starting material. For PCR amplification, the optimal number of PCR cycles was determined using a qPCR side reaction with 10% of the adaptor-ligated, size-selected DNA. Seven to ten cycles of PCR were used for histone PTM libraries and 5 cycles were used for input controls. Samples were sequenced on a NextSeq 500 instrument (42-bp read length, paired end).

For analysis of histone PTM ChIP–seq data, reads were demultiplexed using bcl2fastq2 (Illumina) with the options ‘–mask-short-adapter-reads 20 –minimum-trimmed-read-length 20 –no-lane-splitting –barcode-mismatches 0’. Reads were trimmed using TRIMMOMATIC53 with the options ‘ILLUMINACLIP:[adapter.fa]:2:30:10 LEADING:5 TRAILING:5 SLIDINGWINDOW:4:15 MINLEN:15’ and aligned to a hybrid hg38 + C.floridanus (v7.5, RefSeq) genome assembly using bowtie2 (v2.2.6)52 with the option ‘–sensitive-local’. Alignments with a mapping quality below 5 (using SAMtools) and duplicated reads were removed. Peaks were called using MACS2 (v2.1.1.20160309)54 with the options ‘–call-summits –nomodel –B’. Differential ChIP peaks were called using DiffBind55 with the options ‘bFullLibrarySize=FALSE, bSubControl=TRUE, bTagwise=FALSE’ for dba.analyze(). For DiffBind testing, the DESeq2 algorithm with blocking was used, and ChIP replicate was used as the blocking factor while testing for differences between mock and infected samples. For ChIP signal tracks, individual replicate tracks were produced for RPM and fold enrichment over input control, merged and averaged.

To account for potential global differences in histone PTM abundance that would otherwise be missed by more standard quantile normalization-type approaches, high-quality deduplicated read counts were produced for both human- and C.floridanus-mapping reads, resulting in proportions of reads mapping to the exogenous genome for each histone PTM. Input controls were also treated in this way to account for potential differences in initial spike-in addition between samples. For each histone PTM, the proportion of spike-in reads was normalized by the appropriate input control value. Because spike-ins should be inversely proportional to target chromatin concentration, a ratio of SARS-CoV-2/mock values was produced for each histone PTM × replicate, and for SARS-CoV-2 samples resulting signal values were divided by this ratio. This resulted in per-base-pair signal values adjusted by the degree of global difference in a given histone PTM’s level between sample types.

All antibodies are described in Supplementary Table 6.

RNA-seq

RNA was extracted using a Qiagen RNA purification kit. Samples were prepared for sequencing using the Illumina TruSeq purification kit and sequenced on an Illumina NextSeq 500 instrument (75-bp read length, single read). Library size was confirmed on a Bioanalyzer before sequencing on the NextSeq 550 platform (single end, 75 cycles).

For RNA-seq analysis for SARS-CoV-2 infection experiments, a reference genome for alignment was built by concatenating the human (GRCh38 assembly) and SARS-CoV-2 (WA-CDC-WA1/2020 assembly; MN985325.1) genomes. For RNA-seq analysis for HEK293T cell experiments, the GRCh38 assembly was used. For all RNA-seq, reads were aligned using STAR (v2.6.1a) with default parameters and only uniquely mapped reads were retained for downstream analysis. TDF files were generated using IGVtools. Reads were counted towards human genes (GENCODE v35) and SARS-CoV-2 genes (WA-CDC-WA1/2020 assembly; MN985325.1) using featureCounts (v1.6.2). Low-count genes were filtered out so that only genes with counts per million (CPM) values greater than 1 in at least three samples were used. Data normalization and differential gene expression analysis were performed using the DESeq2 R package (v1.26.0). We defined genes as significant using a false discovery rate (FDR) cut-off of 0.05 and 1.5× fold change. GO enrichment analysis for differentially expressed genes was implemented with the clusterProfiler R package (v3.14.3), using the human genome annotation record in the org.Hs.eg.db R package (v3.10.0) and a Benjamini–Hochberg-adjusted P value of 0.05 as the cut-off.

Immunoprecipitation

Anti-Strep tag affinity purification, whole-cell lysate and cytoplasmic HLA-A2 co-immunoprecipitation

Protein and binding partners were purified with affinity Strep tag purification. For ORF8 PTM analysis and mass spectrometry binding partner analysis, whole-cell lysates were prepared as described below. Frozen cell pellets were thawed briefly and suspended in lysis buffer (immunoprecipitation (IP) buffer (50 mM Tris-HCl (pH 7.5) at 4 °C, 150 mM NaCl, 1 mM EDTA and 10 mM sodium butyrate) supplemented with 0.5% Nonidet P 40 Substitute (NP-40; Fluka Analytical) and cOmplete mini EDTA-free protease and PhosSTOP phosphatase inhibitor cocktails (Roche)). Samples were incubated on a tube rotator for 30 min at 4 °C. Debris was pelleted by centrifugation at 13,000 g for 15 min at 4 °C. Lysates were then incubated with Strep-Tactin magnetic beads (40 µl; MagStrep type 3 XT beads; IBA, 2-4090-002) for 2 h with rotation at 4 °C. Beads were washed three times with 1 ml wash buffer (IP buffer supplemented with 0.05% NP-40) and then once with 1 ml IP buffer. Strep-tagged ORF8 complexes were eluted from beads in BXT buffer (IBA, 2-1042-025) with shaking at 1,100 r.p.m. for 30 min.

Anti-Strep tag affinity purification for chromatin binding partners

Cells were rotated in lysis buffer 1 (50 mM HEPES-KOH (pH 7.5), 140 mM NaCl, 10 mM sodium butyrate, 1 mM EDTA, 10% glycerol, 0.5% NP-40 and 0.25% Triton X-100) supplemented with 0.5% Nonidet P 40 Substitute (NP-40; Fluka Analytical) and cOmplete mini EDTA-free protease and PhosSTOP phosphatase inhibitor cocktails (Roche) for 10 min at 4 °C and spun at 1,350 g for 5 min at 4 °C to isolate nuclei. Supernatant was discarded and cells were resuspended in lysis buffer 2 (10 mM Tris-HCl (pH 8), 200 mM NaCl, 10 mM sodium butyrate, 1 mM EDTA and 0.5 mM EGTA) to lyse nuclei. Cells were rotated for 10 min at room temperature and were spun again at 1,350 g for 5 min at 4 °C. The supernatant was discarded and the chromatin pellet was resuspended in lysis buffer 3 (10 mM Tris-HCl (pH 8), 100 mM NaCl, 10 mM sodium butyrate, 1 mM EDTA, 0.5 mM EGTA, 0.1% EDTA and 0.5% N-lauroylsarcosine). Lysates were sonicated using a tip sonicator with three 5-s bursts at 50% power with chilling on ice between bursts. After sonication, lysates were brought to a concentration of 1% Triton X-100 to disrupt lamina protein interactions. Debris was pelleted by centrifugation at 16,000 g at 4 °C, and the supernatant was incubated with Strep-Tactin magnetic beads (40 µl; MagStrep type 3 XT beads; Iba, 2-4090-002) for 2 h with rotation at 4 °C. Beads were washed three times with 1 ml wash buffer (IP buffer supplemented with 0.05% NP-40) and then once with 1 ml IP buffer. Strep-tagged ORF8 complexes were eluted from beads in BXT buffer (IBA, 2-1042-025) with shaking at 1,100 r.p.m. for 30 min. To analyse relative ORF8 construct levels in cytoplasmic versus chromatin fractions by western blotting, samples were taken from lysis buffer 1 and lysis buffer 3, respectively.

Reverse immunoprecipitation

Chromatin pellet lysate was obtained as described above for chromatin protein immunoprecipitation. Lysates were combined with antibody-conjugated Protein A Dynabeads (15 µg of antibody conjugated to 100 µl of Dynabeads) and rotated overnight at 4 °C. The following day, beads were washed three times with 1 ml wash buffer (IP buffer supplemented with 0.05% NP-40) and then once with 1 ml IP buffer. Chromatin protein complexes were eluted from beads in elution buffer (50 mM Tris-HCl (pH 8.0), 10 mM EDTA and 1% SDS) for 30 min with shaking at 65 °C.

All antibodies are described in Supplementary Table 6.

Immunocytochemistry

Fluorescence immunocytochemistry of HEK293T cells and A549ACE2 cells

Cells were fixed in 4% PFA for 10 min and washed with PBS. Fixed cells were permeabilized using 0.5% Triton X-100 in PBS for 20 min. Cells were blocked in blocking solution (PBS with 3% BSA, 2% serum and 0.1% Triton X-100) for at least 1 h and stained with designated primary antibody overnight at 4 °C. The following day, cell coverslips were washed with PBS and incubated with secondary antibody for 1 h at room temperature. For detection of Strep-tagged ORF8, Strep-Tactin DY-488 (IBA, 2-1562-050; 1:500) was added to the secondary antibody solution. Nuclei were stained with DAPI (1:1,000 in PBS) for 10 min with washing in PBS. Coverslips were mounted onto microscope slides using ProLong Gold antifade reagent (Thermo Fisher).

Fluorescence immunocytochemistry analysis of lamin B1, lamin A/C and H3K9me2

HEK293T cells were fixed with 2% PFA (Electron Microscopy Sciences, 15710) for 8 min at room temperature and washed three times with DPBS (Gibco, 14190-136). Cells were permeabilized with 0.25% Triton X-100 (Thermo Fisher, 28314) for 10 min, washed three times with DPBS for 5 min each wash and blocked in 1% BSA (Sigma, A4503) in PBST (DPBS with 0.05% Tween-20, pH 7.4 (Thermo Fisher, 28320)) for 60 min. Cells were incubated with primary antibody diluted in blocking buffer for 1 h, washed three times with PBST for 5 min each wash and incubated with secondary antibody diluted in blocking buffer for 60 min. Cells were washed twice with PBST and once with PBS for 5 min each wash and were then mounted on a slide using Duolink In Situ Mounting Medium with DAPI (Sigma, DUO82040-5ML). All procedures were performed at room temperature.

Immunohistological staining of patient lung tissue

Formalin-fixed, paraffin-embedded slides were obtained from Penn’s Pathology Clinical Service Center. Slides were deparaffinized and rehydrated as follows: incubation for 10 min with xylene (twice), 10 min with 100% ethanol (twice), 5 min with 95% ethanol, 5 min with 70% ethanol, 5 min with 50% ethanol and then running distilled water. Slides were then processed using heat-induced epitope retrieval (HIER). Slides were incubated in hot sodium citrate buffer (10 mM sodium citrate and 0.05% Tween-20, pH 6.0), placed in a pressure cooker and heated in a water bath for 25 min with high pressure settings. Slides were cooled at room temperature and washed twice in TBS. Membranes were permeabilized in TBS with 0.4% Triton X-100 for 20 min. Slides were then incubated in blocking solution (TBS with 10% goat serum, 1% BSA and 0.025% Triton X-100) for 2 h. Slides were incubated in mouse primary antibody solution containing anti-SARS-CoV-2 nucleocapsid and rabbit anti-H3K9me3 antibody solution overnight at 4 °C. The following day, slides were washed with TBS and incubated in secondary antibody solution. Nuclei were stained with DAPI (5 µg ml–1) in TBS for 10 min followed by washing with TBS. Coverslips were mounted with ProLong Gold antifade reagent (Thermo Fisher). All antibodies are described in Supplementary Table 6.

Image acquisition

Fluorescence immunocytochemistry of ORF8 and histone PTMs

Cells were imaged on an upright Leica DM 6000, TCS SP8 laser scanning confocal microscope with 405-nm, 488-nm, 552-nm and 638-nm lasers. The microscope uses two HyD detectors and three PMT detectors. The objective used was a ×63 HC PL APO CS2 oil objective with an NA of 1.40. Type F immersion liquid (Leica) was used for oil objectives. Images were 175.91 × 171.91 µm2, 1,024 × 1,024 pixels and 16 bits per pixel. For PTM quantification, HEK293T cells and human lung tissue were imaged at a single z plane and A549 cells were imaged with a z stack through the nucleus.

Fluorescence immunocytochemistry analysis of lamin B1, lamin A/C and H3K9me2

All confocal immunofluorescence images were acquired using a Leica SP8 laser scanning confocal system with a ×63/1.40-NA HC PL APO CS2 objective and HyD detectors in standard mode with 100% gain. For comparison of lamin A/C and lamin B1 signal intensities between mock and ORF8-positive cells, single-plane confocal images were acquired. All images were acquired with the same microscope settings (zoom, laser power, gain, etc.). For analysis of the organization of H3K9me2-marked chromatin at the nuclear lamina, three-dimensional (3D) images of the middle z plane of the nucleus were taken as z stacks using 0.1-μm intervals with a range of 1 μm per nucleus. Confocal 3D images were deconvoluted with Huygens Professional software using the microscope parameters, standard PSF and automatic settings for background estimation.

Image analysis

Images were analysed using ImageJ software (version 2.0.0-rc-69/1.52p, build 269a0ad53f). Single-z-plane images of HEK293T cells and human lung tissue and summed z stacks through A549 nuclei were used for PTM quantification. Regions of interest (ROIs) of in-focus nuclei were semi-automatically defined using the DAPI channel and the ‘analyze particles’ functionality with manual corrections. HEK293T histone PTMs were quantified in transfected cells and non-transfected neighbouring cells using mean grey values. Signal for Strep-tagged ORF8 constructs (Strep-Tactin-488) and GFP was used to define transfected cells, and the HEK293T histone PTM levels in transfected cells were relativized to the histone PTM levels in non-transfected neighbouring cells. Histone PTMs were quantified in A549 cells and human lung tissue using integrated density values. dsRNA and SARS-CoV-2 nucleocapsid signal was used to define infected A549 cells and human lung cells, respectively. The total fluorescence intensity of the lamin A/C and lamin B1 signal was measured from the whole nuclei of mock and ORF8-positive cells. Analysis of the peripheral heterochromatin organization was performed as a comparison of a fraction of H3K9me2-marked chromatin at the nuclear lamina/periphery of mock and ORF8-positive cells. A fraction of H3K9me2 signal at the nuclear lamina/periphery was measured using lamin B signal as a mask or DAPI signal to create a mask of a 0.6-μm-thick nuclear peripheral zone.

Protein alignment

To identify potential histone mimicry, SARS-CoV-2 protein sequences were aligned to human histone protein sequences (H2A, H2B, H3.1, H3.2, H4, H2A.X, H2A.Z, macroH2A and H3.3) using Multiple Sequence Comparison by Log-Expectation (MUSCLE) with default settings. SARS-CoV-2 protein sequences were obtained from protein sequences published for the first Wuhan isolate56.

FACS

HEK293T cell pellets were gently resuspended in 1 ml FACS buffer (Ca2+/Mg2+-free PBS with 2% BSA) and pelleted at 500 g for 5 min at 4 °C; the supernatant was removed. Cells transfected with ORF8 construct and non-transfected control cells were then gently resuspended in 1 ml FACS buffer with a 1:500 dilution of Strep-Tactin DY-488 and rotated at 4 °C for 1 h, protected from light. Cells were then washed twice in 1 ml FACS buffer, resuspended in 1 ml FACS buffer and filtered through a 35-µm mesh into FACS tubes. A BD Influx cell sorter was used to analyse cells. Strep-Tactin DY-488 and GFP were excited with a 488-nm laser and signal was collected with a 530/40-nm detector. Excluding doublets and cell debris, cells were gated on the Strep-Tactin DY-488 signal, where thresholds were set using non-transfected control cells such that <1% of control cells were considered positive for Strep-Tactin DY-488. Strep-Tactin DY-488-positives cells were collected in FACS buffer and pelleted for subsequent experiments. The FACS gating strategy and cell numbers isolated are shown in Supplementary Fig. 2.

Histone extraction

Transfected cells were isolated by FACS as described above. Sorted cells were pelleted, resuspended in 1 ml cold H2SO4 and rotated overnight at 4 °C. Following the overnight incubation, cells were pelleted at maximum speed and the supernatant was transferred to a fresh tube. Trichloroacetic acid was added to 25% by volume, and the cells were left on ice at 4 °C overnight. Cells were again pelleted at maximum speed, and the supernatant was discarded. Prechilled acetone was then used to gently wash the pellet twice. Following the second wash, the tubes were left to air dry before the pellet was resuspended in water. Samples were then broken up by alternating 10 min of sonication and 30 min of shaking at 50 °C until pellets were fully dissolved.

Mass spectrometry

Histone PTM analysis by quantitative mass spectrometry

Purification of histones was validated by SDS–PAGE followed by Coomassie staining demonstrating sufficient enrichment. A BCA assay (Thermo Fisher) was performed for protein estimation using the manufacturer’s instructions, and 20 µg of histone was used for chemical derivatization and digestion as described previously57. In brief, unmodified lysines were derivatized twice with a 1:3 ratio of acetonitrile to proprionic anhydride. Histones were then digested with trypsin in a 1:20 enzyme to protein ratio at 37 °C overnight. Digested histones with newly formed N termini were derivatized twice as done previously. Finally, histones were dried with a vacuum concentrator. The dried samples were reconstituted in 0.1% trifluoroacetic acid (TFA) and desalted with the C18 micro spin column (Harvard Apparatus). The column was prepared with 200 μl of 100% acetonitrile and equilibrated with 200 μl of loading buffer with 0.1% TFA. Peptides were loaded onto the column, washed with loading buffer and eluted with 200 μl of 70% acetonitrile in 0.1% formic acid. All steps for loading, washing and elution were carried out with benchtop centrifugation (300 g for 2 min). The eluted peptides were then dried in a centrifugal vacuum concentrator.

Dried histone peptides were reconstituted in 0.1% formic acid. A synthetic library of 93 heavy labelled and derivatized peptides containing commonly measured histone PTMs58 was spiked into the endogenous samples to a final concentration of approximately 100 ng µl–1 for endogenous peptides and 100 fmol µl–1 for each heavy labelled synthetic analyte. For each analysis, 1 µl of sample was injected onto the column for data-independent analysis on a Q-Exactive HF instrument (Thermo Scientific) attached to an Ultimate 3000 nano-UPLC system and Nanospray Flex ion source (Thermo Scientific). Using aqueous solution of 0.1% formic acid as buffer A and organic solution of 80% acetonitrile and 0.1% formic acid as buffer B, peptides were separated on a 63-min gradient at 400 nl min–1 starting at 4% buffer B and increasing to 32% buffer B over 58 min and then increasing to 98% buffer B over 5 min. The column was then washed at 98% buffer B over 5 min and equilibrated to 3% buffer B. Data-independent acquisition was performed with the following settings. A full MS1 scan from 300 to 950 m/z was acquired with a resolution of 60,000, an automatic gain control (AGC) target of 3 × 106 and a maximum injection time of 55 ms. Then, a series of 25 MS2 scans was acquired across the same mass range with sequential isolation windows of 24 m/z with a collision energy of 28, a resolution of 30,000, an AGC target of 1 × 106 and a maximum injection time of 55 ms. Data analysis and manual inspection using the synthetic library as a reference were performed with Skyline (MacCoss Lab). Ratios were generated using R Studio and statistical analysis was carried out in Excel as in previous histone analysis.

Trypsin and chymotrypsin digestion of ORF8 for identification of ORF8 modifications

The gel band containing ORF8 was destained with 50 mM ammonium bicarbonate with 50% acetonitrile. The band was then reduced in 10 mM DTT in 50 mM ammonium bicarbonate for 30 min at 55 °C. Next, the band was alkylated with 100 mM iodoacetamide in 50 mM ammonium bicarbonate at room temperature for 30 min in the dark. Protein was then digested by incubation with chymotrypsin or trypsin at an approximately 1:20 enzyme to protein ratio at 37 °C overnight. Following digestion, the supernatant was collected. To extract additional peptides from the gel, 150 μl of 50% acetonitrile and 1% TFA was added and samples were incubated with constant shaking for 30 min. The supernatant was collected and 100 μl of acetonitrile was added followed by incubation with constant shaking for 10 min. The final supernatant was collected. All three supernatants were combined and dried. The dried samples were then desalted as described above.

ORF8 versus control immunoprecipitation for identification of binding partners

ORF8 immunoprecipitation elutants were reduced and alkylated as described above. Proteins were then digested and desalted with mini S-Trap (Protifi) following the manufacturer’s instructions. In brief, 25 μl of elutant was combined with 25 μl of 10% SDS to a final SDS concentration of 5% after alkylation. Samples were then acidified with phosphoric acid and precipitated by adding 90% methanol in 100 mM triethylammonium bicarbonate (TEAB) in a 6:1 (vol/vol) ratio. Protein was then added to the trap with benchtop centrifugation (4,000 g for 1 min), washed and digested with trypsin at a 1:10 enzyme to protein ratio at 37 °C overnight. Following digestion, peptides were eluted from the trap with 40 μl of 100 mM TEAB, 40 μl of 0.2% formic acid and 40 μl of 50% acetonitrile in 0.2% formic acid. Combined elutant volumes were then dried.

Chymotrypsin LC–MS/MS and LC–PRM-MS analysis

Dried peptides were reconstituted with 0.1% formic acid, and 2 µg of each sample was injected. Chymotrypsin-digested ORF8 samples were analysed on a Q-Exactive (Thermo Scientific) coupled to an Easy nLC 1000 UHPLC system and Nanospray Flex ion source (Thermo Scientific). The LC instrument was equipped with a 75 µm × 20 cm column packed in house using Reprosil-Pur C18 AQ (2.4 µm; Dr. Maisch). Using the same column and buffer conditions as described previously, peptides were separated on an 85-min gradient at 400 nl min–1 starting at 3% buffer B and increasing to 32% buffer B over 79 min and then increasing to 50% buffer B over 5 min and finally increasing to 90% buffer B over 1 min. The column was then washed at 90% buffer B over 5 min and equilibrated to 3% buffer B. Data-dependent acquisition was performed with dynamic exclusion of 40 s. A full MS1 scan from 350 to 1,200 m/z was acquired with a resolution of 70,000, an AGC target of 1 × 106 and a maximum injection time of 50 ms. Then, a series of MS2 scans was acquired for the top 15 precursors with a charge state of 2–7, a collision energy of 28 and an isolation window of 2.0 m/z. Each MS2 scan was acquired with a resolution of 17,500, an AGC target of 2 × 105 and a maximum injection time of 50 ms. A database search was performed using the human SwissProt sequence and ORF8 sequence with Proteome Discoverer 2.3 or 2.4 (Thermo Scientific) using the following search criteria: carboxyamidomethylation at cysteine residues as a fixed modification; oxidation at methionine and acetylation at lysine as variable modifications; two maximum allowed missed cleavages; precursor MS tolerance of 10 ppm; a 0.02-Da MS/MS. An unscheduled parallel reaction-monitoring method59 was developed to identify or validate 45 possible modified and unmodified peptide targets of ORF8. Peptides were separated with the same LC gradient conditions. A full MS1 scan from 300 to 900 m/z was acquired with a resolution of 70,000, an AGC target of 1 × 106 and a maximum injection time of 50 ms. Then, a series of MS2 scans was acquired with a loop count of 23 precursors, a collision energy of 28 and an isolation window of 1.2 m/z. Each MS2 scan was acquired with a resolution of 17,500, an AGC target of 1 × 106 and a maximum injection time of 100 ms. Data analysis and manual inspection were performed with Skyline60 (MacCoss Lab) and IPSA61.

Trypsin ORF8 LC–MS/MS and LC–PRM/MS analysis and IP LC–MS/MS analysis

Dried peptides were reconstituted with 0.1% formic acid, and 2 µg of each sample was injected. Data-dependent acquisition runs were analysed on a Q-Exactive HF or HF-X (Thermo Scientific) attached to an Ultimate 3000 nano UPLC system and Nanospray Flex Ion Source (Thermo Scientific). Using the same column and buffer conditions as described above, peptides were separated on a 112-min gradient at 400 nl min–1 starting at 5% buffer B, increasing to 35% buffer B over 104 min and then increasing to 60% buffer B over 8 min. The column was then washed at 95% buffer B for 5 min and equilibrated to 5% buffer B. Data-dependent acquisition was performed with dynamic exclusion of 45 s. A full MS1 scan from 380 to 1,200 m/z was acquired with a resolution of 120,000, an AGC target of 3 × 106 and a maximum injection time of 32 ms. Then, a series of MS2 scans were acquired for the top 20 precursors with a charge state of 2–5, a collision energy of 28 and an isolation window of 1.2 m/z. Each MS2 scan was acquired with a resolution of 30,000, an AGC target of 1 × 106 and a maximum injection time of 32 ms (HF) or 55 ms (HFX). A database search was performed using the human SwissProt sequence and ORF8 sequence with Proteome Discoverer 2.3 or 2.4 (Thermo Scientific) with the following search criteria: carboxyamidomethylation at cysteine residues as a fixed modification; oxidation at methionine and acetylation at lysine as variable modifications; two maximum allowed missed cleavages; precursor MS1 tolerance of 10 ppm; a 0.02-Da MS2 tolerance. An unscheduled parallel reaction-monitoring method59 was developed to identify 16 possible modified and unmodified peptide targets of ORF8. Peptides were separated with the same LC gradient conditions. A full MS1 scan from 350 to 950 m/z was acquired with a resolution of 120,000, an AGC target of 3 × 106 and a maximum injection time of 100 ms. Then, a series of MS2 scans were acquired with a loop count of 16 precursors, a collision energy of 28 and an isolation window of 1.2 m/z. Each MS2 scan was acquired with a resolution of 30,000, an AGC target of 1 × 106 and a maximum injection time of 100 ms. Data analysis and manual inspection were performed with Skyline60 (MacCoss Lab) and IPSA61.

Statistics and reproducibility

Box-and-whisker plots show the median as the centre line, box limits for upper and lower quartiles, whiskers for 1.5× the interquartile range and points for outliers. ANOVA testing was performed and plots were generated with R. Bonferroni corrections were applied for multiple comparisons. Fiji was used for image analysis. Imaging and analysis were performed with the experimenter blinded to the experimental condition whenever possible. In some instances, such as for patient tissue imaging, analysis required targeted selection, imaging and analysis of infected cells compared with uninfected cells. This required the experimenter to be aware of cell infection status while imaging. However, in these cases, the measurement of interest (such as staining for a histone modification) was not viewed before choosing fields to avoid biasing selection.

Images are representative of multiple replicates as follows:

Figure 1b: >5 independent experiments.

Figure 1c: two independent experiments.

Figure 1d: three independent experiments.

Figure 1g: five independent samples from two separate runs of FACS sorting.

Figure 2b,d,f: exact cell numbers and replicates described in Fig. 2c,d,g.

Figure 2h: two shown of four independent samples from one FACS sort.

Figure 3f: three independent samples per condition from one infection.

Figure 3g: exact cell numbers and replicates described in Fig. 3h.

Extended Data Fig. 2a: three independent experiments.

Extended Data Fig. 2b,c: >5 independent experiments.

Extended Data Fig. 2d: two independent experiments.

Extended Data Fig. 2e: two independent experiments.

Extended Data Fig. 3b: two independent experiments.

Extended Data Fig. 4a: lamin and histone H3, three independent experiments; HP1α and KAT2A, two independent experiments.

Extended Data Fig. 4b: two independent experiments.

Extended Data Fig. 4c: two independent experiments.

Extended Data Fig. 4d: one independent experiment, repeating previously published data.

Extended Data Fig. 4e: two independent experiments.

Extended Data Fig. 4f: two independent experiments.

Extended Data Fig. 5a: exact cell numbers and replicates described in Extended Data Fig. 5b.

Extended Data Fig. 5c: exact cell numbers and replicates described in Extended Data Fig. 5d.

Extended Data Fig. 5e: same images as in Extended Data Fig. 5c.

Extended Data Fig. 6b: three shown of five independent samples from two runs of FACS sorting.

Extended Data Fig. 10a: exact cell numbers and replicates described in Extended D ata Fig. 10b.

Extended Data Fig. 10c: exact cell numbers and replicates described in Extended Data Fig.  10d.

Extended Data Fig. 10e: exact cell numbers and replicates described in Extended Data Fig. 10f.

Reporting summary

Further information on research design is available in the Nature Research Reporting Summary linked to this article.

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Major solar flare disrupts Hurricane Ian disaster response

Emergency responders dealing with the tragic aftermath of Hurricane Ian in Florida and the Carolinas may have suffered extra setbacks on Sunday (Oct. 2) as a major solar flare disrupted radio communications. 

The solar flare, a powerful X1 (the mildest form of the strongest category of flares) erupted from the sun on Sunday at 3:53 p.m. EDT (1953 GMT) and peaked about 30 minutes later. Since solar flares travel at the speed of light, the burst of electromagnetic radiation caused an immediate radio blackout up to an hour long on the sun-facing side of the planet. The affected region included the whole of the U.S., according to the SpaceWeatherWatch (opens in new tab)

The radio blackout, classed by the U.S. National Oceanic and Atmospheric Administration (NOAA) as a strong R3 category, likely affected rescue workers using 25 MHz radios to communicate in areas where the rampage of Hurricane Ian knocked down cell phone networks. The disruption in the upper layers of Earth’s atmosphere caused by the flare may also have made GPS positioning unavailable or less accurate, space weather physicist Tamitha Skov said on Twitter (opens in new tab)

Related: Satellites can disappear in major solar storms and it could take weeks to find them

The sun released an X-class flare on Oct. 2, 2022. (Image credit: NASA/SDO/Helioviewer.org)

A somewhat milder flare followed a few hours later, causing another radio blackout over the western Pacific and Australia, according to SpaceWeatherWatch (opens in new tab).

Both flares originated from sunspot (a darkened area of intense magnetic activity on the sun’s surface) called AR3110 in the northwestern part of the sun’s visible disk and each was accompanied by a coronal mass ejection (CME), which is a burst of magnetized particles from the sun’s upper atmosphere, the corona. The two plasma clouds may now be heading to Earth, following a couple of earlier CMEs that exploded from the sun on Saturday (Oct. 1). 

Simultaneously, a stronger-than-usual solar wind, a stream of charged particles constantly emanating from the sun, is currently blowing toward our planet from a coronal hole (an opening in the magnetic field of the sun). The combination means that the CMEs may trigger a noticeable geomagnetic storm on Earth in the coming days. NOAA predicts (opens in new tab) that a moderate (G2) geomagnetic storm might hit the planet on Tuesday (Oct. 4), possibly causing minor power grid issues at high latitudes and affecting satellites in low Earth orbit

Space weather forecasters expect more flares and CMEs in the coming days. A new, large and “complex” sunspot, AR3112, has emerged in the northeast and will traverse the sun’s visible disk during the next two weeks, according to the U.K. space weather forecaster Met Office. According to SpaceWeather.com (opens in new tab), AR3112 is “one of the biggest sunspots in years,” stretching across 80,000 miles (130,000 kilometers). The Met Office said that AR3112 has a potential to become more active, which means a likelihood of more flares and CMEs. 

“Solar activity is forecast to be moderate to high, with flares likely from the large region in the northeast and the region in the northwest,” the Met Office said in a statement (opens in new tab)

For aurora chasers, the geomagnetic storms mean a good chance of spotting polar lights away from their usual confines around the poles. The displays might be visible as far south as the north of Scotland in the U.K. and the northern U.S.

Follow Tereza Pultarova on Twitter @TerezaPultarova. Follow us on Twitter @Spacedotcom and on Facebook



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Sugar disrupts microbiome, eliminates protection against obesity and diabetes

Cell (2022). DOI: 10.1016/j.cell.2022.08.005″ width=”800″ height=”530″/>
Graphical abstract. Credit: Cell (2022). DOI: 10.1016/j.cell.2022.08.005

A study of mice found that dietary sugar alters the gut microbiome, setting off a chain of events that leads to metabolic disease, pre-diabetes, and weight gain.

The findings, published today in Cell, suggest that diet matters, but an optimal microbiome is equally important for the prevention of metabolic syndrome, diabetes, and obesity.

Diet alters microbiome

A Western-style high-fat, high-sugar diet can lead to obesity, metabolic syndrome, and diabetes, but how the diet kickstarts unhealthy changes in the body is unknown.

The gut microbiome is indispensable for an animal’s nutrition, so Ivalyo Ivanov, Ph.D., associate professor of microbiology & immunology at Columbia University Vagelos College of Physicians and Surgeons, and his colleagues investigated the initial effects of the Western-style diet on the microbiome of mice.

After four weeks on the diet, the animals showed characteristics of metabolic syndrome, such as weight gain, insulin resistance, and glucose intolerance. And their microbiomes had changed dramatically, with the amount of segmented filamentous bacteria—common in the gut microbiota of rodents, fish, and chickens—falling sharply and other bacteria increasing in abundance.

Microbiome changes alter Th17 cells

The reduction in filamentous bacteria, the researchers found, was critical to the animals’ health through its effect on Th17 immune cells. The drop in filamentous bacteria reduced the number of Th17 cells in the gut, and further experiments revealed that it’s the Th17 cells that are necessary to prevent metabolic disease, diabetes, and weight gain.

“These immune cells produce molecules that slow down the absorption of ‘bad’ lipids from the intestines and they decrease intestinal inflammation,” Ivanov says. “In other words, they keep the gut healthy and protect the body from absorbing pathogenic lipids.”

Sugar vs. fat

What component of the high-fat, high-sugar diet led to these changes? Ivanov’s team found that sugar was to blame.

“Sugar eliminates the filamentous bacteria, and the protective Th17 cells disappear as a consequence,” says Ivanov. “When we fed mice a sugar-free, high-fat diet, they retain the intestinal Th17 cells and were completely protected from developing obesity and pre-diabetes, even though they ate the same number of calories.”

But eliminating sugar did not help all mice. Among those lacking any filamentous bacteria to begin with, elimination of sugar did not have a beneficial effect, and the animals became obese and developed diabetes.

“This suggests that some popular dietary interventions, such as minimizing sugars, may only work in people who have certain bacterial populations within their microbiota,” Ivanov says.

In those cases, certain probiotics might be helpful. In Ivanov’s mice, supplements of filamentous bacteria led to the recovery of Th17 cells and protection against metabolic syndrome, despite the animals’ consumption of a high-fat diet.

Though people do not have the same filamentous bacteria as mice, Ivanov thinks that other bacteria in people may have the same protective effects.

Providing Th17 cells to the mice also provided protection and may also be therapeutic for people. “Microbiota are important, but the real protection comes from the Th17 cells induced by the bacteria,” Ivanov says.

“Our study emphasizes that a complex interaction between diet, microbiota, and the immune system plays a key role in the development of obesity, metabolic syndrome, type 2 diabetes, and other conditions,” Ivanov says. “It suggests that for optimal health it is important not only to modify your diet but also improve your microbiome or intestinal immune system, for example, by increasing Th17 cell-inducing bacteria.”


A low-calorie diet alters the gut microbiome and delays immune aging


More information:
Yoshinaga Kawano et al, Microbiota imbalance induced by dietary sugar disrupts immune-mediated protection from metabolic syndrome, Cell (2022). DOI: 10.1016/j.cell.2022.08.005
Journal information:
Cell

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Citation:
Sugar disrupts microbiome, eliminates protection against obesity and diabetes (2022, August 29)
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Erdogan disrupts NATO unity amid Putin’s threat to European security

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Internal NATO relations have become increasingly strained following Turkey’s apparent refusal to allow Sweden and Finland into the fold, with fellow NATO member Greece becoming the latest European nation on Turkish President Tayyip Erdogan’s chopping block. 

Erdogan took a swing at Greek Prime Minister Kyriakos Mitsotakis this week when he accused him of attempting to block a U.S. arms sale of F-16 fighter jets to Ankara. 

“There’s no longer anyone called Mitsotakis in my book,” he told reporters following a Monday cabinet meeting.  

Turkey’s President Tayyip Erdogan holds a news conference during the NATO summit in Brussels, Belgium, on June 14, 2021.
(Reuters/Yves Herman/Pool/File Photo)

SWEDEN, FINLAND NATO BID: OFFICIALS TRAVEL TO TURKEY IN PUSH TO OVERCOME THEIR OBJECTIONS

The Turkish president also said he would refuse to meet his Greek counterpart for a previously planned summit later this year.

Erdogan’s comments came a week after the Greek prime minister met with U.S. lawmakers on Capitol Hill and urged them to consider NATO’s security when making “defense procurement decisions concerning the eastern Mediterranean.”

“We are always open to dialogue. But there is only one framework we can use to resolve our differences – international law and the unwritten principle of good neighborly relations,” Mitsotakis told U.S. lawmakers. “The last thing that NATO needs at a time when our focus is on helping Ukraine defeat Russia’s aggression is another source of instability on NATO’s southeastern flank.”

The Greek prime minister did not mention Erdogan or neighboring Ankara, but his comments alluded to a long-standing spat with Turkey over alleged airspace violations.

Turkey and Greece, both of whom are NATO members, have shared a complex relationship for more than a century. But Athens and Ankara’s latest tiff amid Russia’s aggression in Europe could spell trouble for the very military alliance that Russian President Vladimir Putin would like to see dismantled. 

Vice President Kamala Harris and House Speaker Nancy Pelosi listen as Greek Prime Minister Kyriakos Mitsotakis addresses a joint session of Congress at the Capitol on May 17, 2022.
(Jim Watson/AFP via Getty Images)

TURKEY NATO BLOCK MAY BE RELATED TO MILITARY EQUIPMENT DEMANDS: REPORTS

“All nations act in their own self-interest, all the time,” Michael Ryan, former deputy assistant secretary of defense for Europe and NATO, told Fox News. “[Erdogan] defines the Turkish self-interests and he defines how they pursue it. And in this case, he views Turkey as a rising regional power, and he is pushing hard in every direction to certain Turkish prerogatives.”

The NATO expert explained that the arms sale merely highlights several dynamics at play that Erdogan is juggling.

Turkey’s defenses have been lagging since Washington blocked Ankara from purchasing U.S. F-35 warplanes in 2019 after it purchased the Russian-made S-400 missile system.

The White House at the time said, “The F-35 cannot coexist with a Russian intelligence-collection platform that will be used to learn about its advanced capabilities.”

Turkey is looking to upgrade its air defense systems with modern U.S. F-16 aircraft not only to bolster its military capabilities amid its ongoing air disputes with Greece but to aid its operations in Syria. 

“It’s a cat and mouse game,” Ryan said. “Congress really does have something that the Turks want.”

But he added that the “Turks have something that Congress wants – which is Sweden, Finland in NATO. That may be Erdogan’s play all along.”

TURKEY RISKS ‘HISTORIC’ SWEDEN, FINLAND NATO BID BY PRIORITIZING POLITICAL AGENDA

An F-35 Lightning II
(iStock)

“The U.S. can’t have Erdogan calling the shots here,” European policy expert Nile Gardiner, director of The Heritage Foundation’s Margaret Thatcher Center for Freedom, told Fox News.

“All NATO allies need to be able to work together. It breaks down if you have one or two countries who are trying to derail the future of the alliance – which is what Turkey is doing,” he added.

The Greek prime minister’s veiled comments to U.S. lawmakers last week may have been an attempt to dissuade Washington from securing an arms sale with Turkey amid its NATO membership blockade. 

Russia’s war in Ukraine has renewed the weight of NATO’s military alliance, particularly with regard to its Article 5 stipulation that says an attack on one country will trigger a united response from all 30 member nations. 

Sweden and Finland formally requested to join NATO following Russia’s aggression in not only Ukraine but amid threats Moscow has issued against other European nations. 

NATO military commanders championed the move to include Stockholm and Helsinki in the alliance and said it would bolster NATO defenses and identify “vulnerabilities” in Europe’s security. 

But Turkey has used the opportunity to block the NATO bids over claims that Sweden and Finland have housed individuals it considers terrorists. 

“The Turks are undermining NATO by taking this reckless stance,” Gardiner warned. “President Erdogan has a clear choice between either helping NATO or weakening it, and he needs to be on the right side of history here, instead of appeasing the Russians.”

Some foreign policy experts have suggested that Erdogan could be acting as Putin’s “Trojan horse” to strategically block NATO’s expansion and sow turmoil within the alliance.

Russian President Vladimir Putin and Turkish President Recep Tayyip Erdogan shake hands during their talks at the Kremlin on March 5, 2020, in Moscow. 
(Mikhail Svetlov/Getty Images)

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But the former defense secretary for Europe and NATO rejected these claims.

“I don’t think it’s that simple, at all,” Ryan said. “Erdogan’s the kind of guy that he doesn’t want to be anybody’s lackey.

“He’s trying to balance his advantages while minimizing his disadvantages,” he added. 

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FBI disrupts Russian military hackers, preventing botnet amid Ukraine war

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The Federal Bureau of Investigation wrested control of thousands of routers and firewall appliances away from Russian military hackers by hijacking the very same devices Moscow’s spies had been using to set up a “botnet” – a network of hacked computers that can bombard other servers with rogue traffic.

“Fortunately, we were able to disrupt this botnet before it could be used,” U.S. Attorney General Merrick Garland said during a news conference.

The FBI conducted the court-authorized operation in March 2022, disrupting a two-tiered global botnet of thousands of infected network hardware devices under the control of a threat actor known as Sandworm, which the U.S. government previously attributed to the Main Intelligence Directorate of the General Staff of the Armed Forces of the Russian Federation (the GRU), the Justice Department announced in a statement.

RUSSIA INVADES UKRAINE: LIVE UPDATES

The operation copied and removed malware from firewall devices that Sandworm used for command-and-control of the botnet. While the operation did not access the Sandworm malware on the underlying victim devices, the disabling of the command-and-control mechanism severed the bots from the Sandworm devices’ control, disrupting the Russian military hacker operation.

“Through close collaboration with WatchGuard [Technologies Inc.] and our law enforcement partners, we identified, disrupted and exposed yet another example of the Russian GRU’s hacking of innocent victims in the United States and around the world,” U.S. Attorney Cindy K. Chung for the Western District of Pennsylvania said in a statement. 

Russian President Vladimir Putin is seen above. The country has consistently denied any role in the poisoning of an ex-spy and his daughter on U.K. soil.
(Alexei Druzhinin, Sputnik, Kremlin Pool Photo via AP)

“Such activities are not only criminal but also threaten the national security of the United States and its allies,” Chung added. “My office remains committed to working with our partners in the National Security Division, the FBI, foreign law enforcement agencies and the private sector to defend and maintain our nation’s cybersecurity.” 

“The FBI prides itself on working closely with our law enforcement and private sector partners to expose criminals who hide behind their computer and launch attacks that threaten Americans’ safety, security and confidence in our digitally connected world,” Special Agent in Charge Mike Nordwall of the FBI’s Pittsburgh Field Office said in a statement. “The FBI has an unwavering commitment to combat and disrupt Russia’s efforts to gain a foothold inside U.S. and allied networks.”

The malware involved, Cyclops Blink, targets network devices manufactured by WatchGuard Technologies Inc. and ASUSTek Computer Inc.

UKRAINIAN INTELLIGENCE RELEASES NAMES OF MORE THAN 600 ALLEGED RUSSIAN SPIES

While the FBI operation succeeded in copying and removing the malware from all remaining identified command-and-control devices and prevented Sandworm from accessing these devices, WatchGuard and ASUS devices that acted as bots may remain vulnerable to Sandworm if device owners do not take the WatchGuard and ASUS recommended detection and remediation steps, DOJ warned. The department urged network defenders and device owners to review the department’s Feb. 23 advisory and the guidance documents that WatchGuard and ASUS released. 

The operation took place nearly a month into Russia’s invasion of Ukraine. 

Late last month, Ukrainian intelligence released a purported list of more than 600 Russian spies. Shortly before that, Russian President Vladimir Putin reportedly put two FSB agents who reportedly scouted Ukraine on house arrest after Russia’s Ukraine invasion proved far more difficult than Putin appears to have considered at first.

Rep. Ritchie Torres, D-N.Y., called on the FBI to investigate the Russian Diplomatic Compound, located in New York City, which experts previously told Fox News Digital houses diplomats who are in the U.S. to spy on America. 

A view of the Russian Diplomatic Compound at 355 West 255th Street
(Google Maps)

“We have been appalled and alarmed by Vladimir Putin’s unprovoked war of aggression against Ukraine. We have been appalled by his war crimes against the Ukrainian people, and it is in that context that I have formally requested that the FBI open an investigation into reports of espionage at the Russian diplomatic compound,” Torres told reporters Tuesday about the white high-rise tower located at 355 West 255th Street, in the Bronx borough.

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The Bronx Democrat called it “both metaphorically and literally a structure of surveillance.”

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China Covid-zero disrupts supply chains, impacts global recovery: HSBC

China’s zero-Covid restrictions will impact global supply chain recovery as any small disruption in the country will likely lead to “ripple effects” across the world, according to the head of shipping at HSBC.

The pandemic has revealed “how lean the supply chain has become. And there is little margin of error,” said Parash Jain, global head of shipping and ports equity research at HSBC.

“The sheer importance of China when it comes to global trade means that any small disruption in China, will have a ripple effect across the supply chain,” Jain told CNBC’s “Squawk Box Asia” on Monday.

China, the world’s second largest economy, has doubled down on its zero-Covid strategy due to recent spikes in infections across the country.

Covid cases have been reported in the key port cities of Shenzhen, Tianjin and Ningbo, as well as the industrial hub of Xi’an, resulting in lockdowns and curbs in the largest port hubs. 

As long as China maintains this very strict zero-Covid stance, we cannot rule out a disruption time to time as the year progress.

China reported 58 new Covid-19 cases as of Monday, according to the national health authority. The National Health Commission in its daily update said 40 of the new cases were local infections, with the remaining 18 coming from overseas. 

Despite having a relatively low number of cases compared to many other places in Asia, Beijing has clung onto its zero-Covid approach.

China has a 7-day rolling average of 0.04 daily cases per million people as of Jan. 30 compared with 568.8 for Japan, 290.41 for South Korea and 180.35 for India, according to Our World in Data.

China has the infrastructure in place to quickly decongest — whether it’s at the port or in the supply chain side, said Jain.

“However, the chaos created because of this will eventually have an impact on the other side of the ocean,” he added. “That’s why, as long as China maintains this very strict zero-Covid stance, we cannot rule out a disruption time to time as the year progress,” he added.

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Since the pandemic began in early 2020, Beijing has maintained a zero-tolerance Covid policy, sometimes shutting down entire factories or ports as a result of a single case. It also entails strict quarantines and travel restrictions — whether within a city or with other countries — to control outbreaks. 

Restrictions aimed at containing Covid-19 have impacted manufacturing and shipping operations globally, exacerbating the supply chain crisis.

There have been renewed concerns that the highly infections omicron variant could also deal another blow to the shipping industry.

As a result of the pandemic, some of the large container shipping lines “are trying to get a greater hold on the entire supply chain,” said Jain

“There is investments on the land side logistics. There is investments on the terminal side. But, I think some of those infrastructures, particularly, in the developed market, was long overdue.”

“From the shipper’s perspective or from the customer’s perspective, I think the comfort that they had over the last several decades of maintaining just in time inventory, I think that these disruptions probably would make them think again,” he added.

— CNBC’s Weizhen Tan contributed to this story.

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COVID disrupts aid flight to tsunami-hit Tonga

  • First aid flights start to arrive in Tonga
  • Australian, New Zealand ships due in coming days
  • U.N. says Tonga has asked for urgent assistance
  • U.N. seriously concerned about access to safe water

WELLINGTON/SYDNEY, Jan 21 (Reuters) – As aid trickles into the South Pacific nation of Tonga, devastated by a volcanic eruption and tsunami, an Australian aid flight was forced to return to base due to a positive COVID-19 case onboard, a defence official said on Friday.

Tonga is COVID-free and has a strict border control policy, and is requiring contactless delivery of aid that began arriving by plane on Thursday.

The Australian aid flight left Brisbane on Thursday afternoon but was turned around midflight after being notified of the positive COVID-19 case, an Australian defence spokeswoman said.

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All crew had returned negative rapid antigen tests before departure, but PCR tests later showed the positive result. The supplies were moved to another flight that took off on Friday.

The Hunga Tonga-Hunga Ha’apai volcano eruption last Saturday triggered tsunami that destroyed villages, resorts and many buildings and knocked out communications for the nation of about 105,000 people, and sent shockwaves and tsunami across the Pacific.

Three people have been reported killed, authorities said.

Almost a week since the eruption and Tongans are struggling to find clean drinking water with their island homes shrouded in volcanic ash.

“We are cleaning the ash and have been since Monday,” said Branko Sugar, 61, who runs a bottle shop and fishing charter business from the capital Nuku’alofa.

“Everything is so dusty, and we are running out of water,” he said over a patchy telephone line.

“We only have the tap water, and it’s been contaminated. We’re just cleaning, cleaning, cleaning and can hardly breathe for all the dust.”

The first aid flights from Australia and New Zealand landed in Tonga on Thursday with much-needed supplies of water for sanitation and hygiene as well as shelter, communication equipment and power generators.

A New Zealand maritime sustainment vessel HMNZS Aotearoa carrying 250,000 litres of water and able to produce 70,000 litres per day through a desalination plant, is expected to arrive on Friday.

Australia’s HMAS Adelaide en route from Brisbane is due in Tonga next week.

URGENT ASSISTANCE REQUEST

United Nations spokesperson Stéphane Dujarric said in a briefing that Tonga has asked for urgent assistance and the agency is in close contact with the authorities.

“Assessment teams have reached most parts of the country, including remote and isolated islands,” Dujarric said.

“We remain seriously concerned about access to safe water for 50,000 people throughout the country. Water quality testing continues, and most people are relying on bottled water,” he said.

Some 60,000 people have been affected by damage to crops, livestock, and fisheries due to ashfall, saltwater intrusion and the potential for acid rain, Dujarric said.

There are also reports of fuel shortages, he added.

Australia’s Foreign Minister Marise Payne said on Friday cash donations to Tonga for immediate humanitarian supplies – Australia has donated $1 million – would need to be followed with more substantial support for rebuilding.

“The impact of this volcanic eruption and the subsequent tsunami and the damage the inundation is causing will be an ongoing challenge for Tonga, particularly in relation to infrastructure,” she told Australian radio.

Telephone links between Tonga and the outside world were reconnected late on Wednesday, although restoring full internet services is likely to take a month or more.

Tongans have turned to social media to post images of the destruction by the tsunami and give accounts of their shock after the massive explosion.

NASA’s Goddard Space Flight Center has said the force of the eruption was estimated to be the equivalent of five to 10 megatons of TNT, or more than 500 times that of the nuclear bomb the United States dropped on the Japanese city of Hiroshima at the end of World War Two.

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Reporting by Praveen Menon, Kirsty Needham and Tom Westbrook; Writing by Michael Perry; Editing by Richard Pullin

Our Standards: The Thomson Reuters Trust Principles.

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Central Michigan moves to face Washington State in Sun Bowl; Arizona Bowl canceled as COVID-19 disrupts football bowl season

Central Michigan will now play Washington State in the Tony the Tiger Sun Bowl on Friday, a move that allows both teams to play in a bowl game.

Both teams lost opponents to COVID-19 issues. Miami withdrew from the Sun Bowl on Sunday, sending the bowl scrambling for an opponent for the Cougars. That spot was filled by the Chippewas after their scheduled opponent, Boise State, withdrew from the Barstool Arizona Bowl on Monday.

The bowl games and respective conferences worked out an arrangement for the Sun Bowl to move forward with a game, while the Arizona Bowl became the fourth bowl game to be canceled for COVID-19 reasons.

“We are grateful for the diligent work of the Sun Bowl Association, the Pac-12 Conference, the Mid-American Conference and Central Michigan University to ensure the 2021 Tony the Tiger Sun Bowl will be played,” Washington State athletic director Pat Chun said in a statement. “A special thank you to CMU’s director of athletics Amy Folan and head coach Jim McElwain for prioritizing the bowl experience for both teams, especially the seniors who will be playing their final college football game.”

Washington State arrived in El Paso, Texas, for the Sun Bowl on Sunday, only hours before Miami announced it would not be able to play. Central Michigan was already in Tucson, Arizona, preparing for the Arizona Bowl. In a statement, the Sun Bowl said, “Being a four-hour drive from El Paso, the Chippewas are set up logistically to make the trip and compete on Friday.”

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Flight Cancellations Grow on Christmas Day as Omicron Disrupts.

A flurry of flight cancellations continued on Christmas Day, with U.S. airlines scrapping nearly 1,000 flights as the rapid spread of the Omicron variant of the coronavirus caused crew members to call out sick.

The cancellations affected more than 10 percent of the flights scheduled by Delta Air Lines, United Airlines and JetBlue. American Airlines had canceled less than 5 percent of flights, according to FlightAware, which provides aviation data.

By midday on Saturday the number of cancellations had already exceeded the total cancellations on Christmas Eve, a setback for travelers and airlines hoping this holiday season would be a return to relative normal. Globally, more than 2,500 flights scheduled for Christmas Day were canceled.

“A number of Covid-related sick calls led us to make the difficult decision to precancel some flights scheduled for today,” said Derek Walls, a spokesman for American Airlines, which had about 90 cancellations on Saturday. “We proactively notified affected customers yesterday, and are working hard to rebook them quickly.”

And the problems are expected to continue. Delta, which said weather in some parts of the country was also causing problems, expected to cancel more than 300 flights scheduled for Sunday. And FlightAware said other U.S. airlines had already canceled 150 flights for Dec. 26.

The cancellations come during one of the busiest travel periods of the year, and Americans are flying nearly as much as they were prepandemic, with about 2 million people streaming through screening checkpoints each day in the week leading up to Christmas Eve, according to the Transportation Security Administration. At some points the number of travelers this year even exceeded the number of passengers who flew in 2019, according to the T.S.A.’s data.

The travel period also came during a fresh surge of Covid cases. The U.S. is averaging almost 200,000 new cases each day, according to The New York Times’s coronavirus tracker, more than the average case load during this summer’s peak.

An airline trade group asked the Centers for Disease Control and Prevention on Thursday to shorten the recommended isolation period for employees who test positive for Covid-19 from 10 days to “no more than five days,” with a negative test to return. “The Omicron surge may exacerbate personnel shortages and create significant disruptions to our work force and operations,” the group, Airlines for America, wrote in a letter to the C.D.C’s director.

But the Association of Flight Attendants has pushed back on that request, telling the C.D.C. on Thursday that “we support your agency’s current recommendation to isolate for 10 days” and that decisions to reduce isolation times “should be made by public health professionals, not airlines.”

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NZ marks Omicron-free Christmas as virus disrupts global travel | Coronavirus pandemic News

New Zealanders celebrated Christmas on Saturday in the warmth of mid-summer with few restrictions, in one of the few countries in the world largely untouched by the Omicron variant of COVID-19.

Ninety-five percent of adults in New Zealand have had at least one dose of the vaccine, making it one of the world’s most vaccinated populations. The only omicron cases that have been found in New Zealand have been safely contained at the border.

Meanwhile, commercial airlines around the world cancelled more than 4,300 flights over the Christmas weekend, as a mounting wave of COVID-19 infections driven by the Omicron variant created greater uncertainty and misery for holiday travellers.

The latest development comes as COVID-19 infections have surged in several countries, including the United States, the United Kingdom and France in recent days, prompting the reimposition of measures such as the use of masks, vaccination mandates and travel restrictions in several countries.

Here are the latest updates for Saturday:


In omicron-free New Zealand, Christmas without restrictions

New Zealanders celebrated Christmas on Saturday in the warmth of mid-summer with few restrictions, in one of the few countries in the world largely untouched by the Omicron variant of COVID-19.

Ninety-five percent of adults in New Zealand have had at least one dose of the vaccine, making it one of the world’s most vaccinated populations. The only Omicron cases that have been found in New Zealand have been safely contained at the border.

As COVID-19 spread around the world the past two years, New Zealand used its isolation to its advantage. Border controls kept the worst of the virus at bay and by Christmas this year, New Zealand had recorded 50 deaths in a population of 5.5 million.


Daily COVID cases in Australia’s New South Wales top 6,000

Australia’s most populous state recorded more than 6,000 new COVID-19 cases for the first time Saturday, adding a sombre note to Christmas celebrations.

New South Wales reported 6,288 new infections in the past 24 hours, an increase of 676 cases from the previous day and by far the highest number of cases in any Australian state since the pandemic began. No deaths were reported and the number of people who have received at least one vaccine dose reached 95 percent.

Victoria, Australia’s second-most populous state, reported 2,108 new cases and six deaths on Saturday.


Health expert highlights importance of wearing mask to fight COVID


US Navy warship sidelined with COVID-19 outbreak

A US Navy warship has paused its deployment to South America because of a coronavirus outbreak, the Navy said Friday.

The USS Milwaukee, a littoral combat ship, is staying in port at Naval Station Guantanamo Bay, Cuba, where it had stopped for a scheduled port visit. It began its deployment from Mayport, Florida, on December 14 and was heading into the US Southern Command region.

The Navy said in a statement that the ship’s crew is “100% immunized” and that all of those who tested positive for COVID-19 have been isolated on the ship away from other crew members. The number of crew testing positive was not disclosed. The ship has a crew of a little more than 100.

The Navy said that “a portion” of those infected are having mild symptoms and that the specific variant is not yet known. COVID-19 cases have surged across the country due to the highly contagious Omicron coronavirus variant.


Antetokounmpo clears NBA’s COVID protocols

The Milwaukee Bucks received an early Christmas present in the form of two-time MVP Giannis Antetokounmpo clearing the National Basketball Association’s health and safety protocols on Friday.

However, Antetokounmpo’s status remains up in the air for Milwaukee’s Christmas Day showdown against the visiting Boston Celtics on Saturday afternoon.

For their part, the Celtics officially placed five more players into COVID protocols on Friday, bringing the team’s total to 12.


Blinken thanks South Africa in call with counterpart Naledi Pandor

US Secretary of State Antony Blinken spoke via phone with his South African counterpart Naledi Pandor about an earlier announcement that the US plans to lift travel restrictions on several southern African nations, imposed last month amid fears over the Omicron variant.

“The Secretary again thanked South Africa’s scientists and government for their transparency and expertise,” State Department Spokesman Ned Price said in a statement describing the call.

“He emphasized the importance of the longstanding partnership between the United States and South Africa to combat the impacts of COVID-19.”


More than 4,000 Christmas flights cancelled worldwide

Airlines around the world called off more than 4,000 flights over the Christmas weekend, due to the increase in COVID-19 cases from the Omicron variant.

The website FlightAware showed 2,314 flights had been cancelled worldwide on Christmas Eve, a typically robust day in passenger transit. About a quarter of those suspended itineraries were in the US.

Another 1,404 flights scheduled for Christmas Day were cancelled globally, the website said, along with 340 more that had been scheduled for Sunday, Boxing Day.



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