BackgroundLong-term complications after COVID-19 are common, but the potential cause for persistent symptoms after viral clearance remains unclear.ObjectiveTo investigate whether gut microbiome composition is linked to post-acute COVID-19 syndrome (PACS), defined as at least one persistent symptom 4 weeks after clearance of the SARS-CoV-2 virus.MethodsWe conducted a prospective study of 106 patients with a spectrum of COVID-19 severity followed up from admission to 6 months and 68 non-COVID-19 controls. We analysed serial faecal microbiome of 258 samples using shotgun metagenomic sequencing, and correlated the results with persistent symptoms at 6 months.ResultsAt 6 months, 76% of patients had PACS and the most common symptoms were fatigue, poor memory and hair loss. Gut microbiota composition at admission was associated with occurrence of PACS. Patients without PACS showed recovered gut microbiome profile at 6 months comparable to that of non-COVID-19 controls. Gut microbiome of patients with PACS were characterised by higher levels of Ruminococcus gnavus, Bacteroides vulgatus and lower levels of Faecalibacterium prausnitzii. Persistent respiratory symptoms were correlated with opportunistic gut pathogens, and neuropsychiatric symptoms and fatigue were correlated with nosocomial gut pathogens, including Clostridium innocuum and Actinomyces naeslundii (all p<0.05). Butyrate-producing bacteria, including Bifidobacterium pseudocatenulatum and Faecalibacterium prausnitzii showed the largest inverse correlations with PACS at 6 months.ConclusionThese findings provided observational evidence of compositional alterations of gut microbiome in patients with long-term complications of COVID-19. Further studies should investigate whether microbiota modulation can facilitate timely recovery from post-acute COVID-19 syndrome.

See Covering the Cover synopsis on page 1193. BACKGROUND & AIMS: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infects intestinal cells, and might affect the intestinal microbiota. We investigated changes in the fecal fungal microbiomes (mycobiome) of patients with SARS-CoV-2 infection during hospitalization and on recovery. METHODS: We performed deep shotgun metagenomic sequencing analysis of fecal samples from 30 patients with coronavirus disease 2019 (COVID-19) in Hong Kong, from February 5 through May 12, 2020. Fecal samples were collected 2 to 3 times per week from time of hospitalization until discharge. We compared fecal mycobiome compositions of patients with COVID-19 with those from 9 subjects with community-acquired pneumonia and 30 healthy individuals (controls). We assessed fecal mycobiome profiles throughout time of hospitalization until clearance of SARS-CoV-2 from nasopharyngeal samples. RESULTS: Patients with COVID-19 had significant alterations in their fecal mycobiomes compared with controls, characterized by enrichment of Candia albicans and a highly heterogeneous mycobiome configuration, at time of hospitalization. Although fecal mycobiomes of 22 patients with COVID-19 did not differ significantly from those of controls during times of hospitalization, 8 of 30 patients with COVID-19 had continued significant differences in fecal mycobiome composition, through the last sample collected. The diversity of the fecal mycobiome of the last sample collected from patients with COVID-19 was 2.5-fold higher than that of controls (P < .05). Samples collected at all timepoints from patients with COVID-19 had increased proportions of opportunistic fungal pathogens, Candida albicans, Candida auris, and Aspergillus flavus compared with controls. Two respiratory-associated fungal pathogens, A. flavus and

Background & Aims SARS-CoV-2 infection is associated with altered gut microbiota composition. Phylogenetic groups of gut bacteria involved in the metabolism of short chain fatty acids were depleted in SARS-CoV-2-infected patients . We aimed to characterize functional profile of gut microbiome in patients with COVID-19 before and after disease resolution. Methods We performed shotgun metagenomic sequencing on fecal samples from 66 antibiotics-naïve patients with COVID-19 and 70 non-COVID-19 controls. Serial fecal samples were collected (up to 6 times points) during hospitalization and beyond one month after discharge. We assessed gut microbial pathways in association with disease severity and blood inflammatory markers. We also determined changes of microbial functions in fecal samples before and after disease resolution and validated these functions using targeted analysis of fecal metabolites. Results Compared with non-COVID-19 controls, COVID-19 patients with severe/critical illness showed significant alterations in gut microbiome functionality ( P < .001), characterized by impaired capacity of gut microbiome for short chain fatty acid (SCFA) and L-isoleucine biosynthesis and enhanced capacity for urea production. Impaired SCFA and L-isoleucine biosynthesis in gut microbiome persisted beyond 30 days after recovery in COVID-19 patients. Targeted analysis of fecal metabolites showed significantly lower fecal concentrations of SCFAs and L-isoleucine in COVID-19 patients before and after disease resolution. Lack of SCFA and L-isoleucine biosynthesis significantly correlated with disease severity and increased plasma concentrations of CXCL-10, NT-proBNP, C-reactive protein (CRP) (all P < .05). Conclusions Gut microbiome of COVID-19 patients displayed impaired capacity for SCFA and L-isoleucine biosynthesis which persisted even after disease resolution. These two microbial functions correlated with host immune response underscoring the importance of gut microbial functions in SARS-CoV-2 infection pathogenesis and outcome.

Background and objective: Few head-to-head evaluations of immune responses to different vaccines have been reported. Methods: Surrogate virus neutralization test (sVNT) antibody levels of adults receiving either two doses of BNT162b2 (n = 366) or CoronaVac (n = 360) vaccines in Hong Kong were determined. An age-matched subgroup (BNT162b2 [n = 49] vs. CoronaVac [n = 49]) was tested for plaque reduction neutralization (PRNT) and spike-binding antibody and T-cell reactivity in peripheral blood mononuclear cells. Results: One month after the second dose of vaccine, BNT162b2 elicited significantly higher PRNT 50 , PRNT 90 , sVNT, spike receptor binding, spike N-terminal domain binding, spike S2 domain binding, spike FcR binding and antibody avidity levels than CoronaVac. The geometric mean PRNT 50 titres in those vaccinated with BNT162b2 and CoronaVac vaccines were 251.6 and 69.45, while PRNT 90 titres were 98.91 and 16.57, respectively. All of those vaccinated with BNT162b2 and 45 (91.8%) of 49 vaccinated with CoronaVac achieved the 50% protection threshold for PRNT 90. Allowing for an expected seven-fold waning of antibody titres over 6 months for those receiving CoronaVac, only 16.3% would meet the 50% protection threshold versus 79.6% of BNT162b2 vaccinees. Age was negatively correlated with PRNT 90 antibody titres. Both vaccines induced SARS-CoV-2-specific CD4 + and CD8 + T-cell responses at 1 month post-vaccination but CoronaVac elicited significantly higher structural protein-specific CD4 + and CD8 + T-cell responses.

BACKGROUND & AIMS:Recently, a group of hepatologists proposed to rename non-alcoholic fatty liver disease (NAFLD) as metabolic associated fatty liver disease (MAFLD) with modified diagnostic criteria. We aimed to study the impact of the new definition on the epidemiology of fatty liver disease. METHODS:We randomly selected 1013 adults from the Hong Kong census database for clinical assessment, proton-magnetic resonance spectroscopy, and transient elastography. Five hundred sixty-five subjects without fatty liver at baseline underwent follow-up assessment. MAFLD was diagnosed as intrahepatic triglyceride content (IHTG) ‡5% and the presence of overweight/obesity, diabetes, or two other metabolic risk factors, with and without concomitant liver diseases. The diagnosis of NAFLD required the exclusion of concomitant liver diseases; metabolic factors were not considered. RESULTS:The population prevalence of MAFLD and NAFLD was 25.9% (95% CI 23.2-28.7%) and 25.7% (95% CI 23.1-28.5%), respectively. Among 277 subjects with IHTG ‡5%, 247 (89.2%) fulfilled both the definitions of MAFLD and NAFLD. Fourteen subjects (5.1%) had IHTG ‡5% but did not meet the metabolic criteria of MAFLD. The incidence of MAFLD was 2.8 per 100 person-years at