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Zhihui Zhang

Publications and source records attributed to Zhihui Zhang.

2 recordsLinked to original sources

SARS-CoV-2 3CLpro inhibits the replication of influenza viruses through the cleavage of NP and PA.

The co-circulation of multiple viruses can lead to distinct pathological outcomes, yet how severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection influences other viral infections remains poorly understood, despite its documented high frequency during the pandemic. In this study, we investigated how the proteolytic activity of SARS-CoV-2 3C-like protease (3CLpro) influences the replication of influenza A virus. In silico analysis identified candidate 3CLpro cleavage sites across numerous viral proteins, and biochemical assays confirmed that 3CLpro catalyzes the degradation of influenza virus nucleoprotein (NP) and polymerase acidic protein (PA) in a manner requiring its protease activity. This degradation of NP and PA, which are essential for viral genome packaging and transcription, disrupted the influenza replicative cycle and suppressed viral replication, both upon ectopic 3CLpro expression and during SARS-CoV-2 infection. Our data uncover a direct, enzyme-based mechanism by which SARS-CoV-2 can suppress influenza virus replication during coinfection. We provide a molecular explanation for the sharp, global decline in influenza activity observed during the COVID-19 pandemic and illustrate how enzymatic weapons of one virus can be repurposed to restrain a competing pathogen.

Virus Replication

Shared genetic architecture between ADHD and intelligence varies across ADHD subtypes.

BACKGROUND: Attention-deficit/hyperactivity disorder (ADHD) is a heterogeneous neurodevelopmental condition frequently accompanied by cognitive difficulties. Although previous genetic studies have demonstrated substantial overlap between ADHD and intelligence, most have treated ADHD as a single phenotype. However, whether this shared genetic architecture differs across ADHD subtypes remains unclear. METHODS: We conducted a genome-wide cross-trait analysis integrating large-scale genome-wide association study (GWAS) datasets of overall ADHD, its subtypes-childhood ADHD, persistent ADHD, and late-diagnosed ADHD-and intelligence (total N > 300,000). Genome-wide genetic correlations, polygenic overlap, local genetic correlations, and variant-level associations between ADHD phenotypes and intelligence were evaluated to characterize their shared genetic architecture. Shared variants were identified through cross-trait enrichment analyses and subsequently mapped to genes for functional annotation and gene-set enrichment. Bidirectional associations were evaluated using two-sample Mendelian randomization with sensitivity analyses. Additional GWAS datasets were used to validate the robustness of shared loci by assessing the consistency of effect directions. RESULTS: All ADHD phenotypes showed significant negative genetic correlations with intelligence (rg ranging from -0.3442 to -0.4205). Despite these modest genome-wide correlations, cross-trait analyses revealed substantial genetic overlap, including polygenic overlap, local genetic correlations, and variant-level associations. We identified 184 loci jointly associated with ADHD traits and intelligence, including 64 novel loci, whereas no shared loci were detected for persistent ADHD under the current analysis. Functional annotation revealed biologically distinct enrichment patterns across subtypes: childhood ADHD loci were linked to early neurodevelopmental processes, while late-diagnosed ADHD loci were enriched in synapse-related and neuronal signaling pathways. Mendelian randomization analyses suggested bidirectional associations, with stronger evidence supporting a directional association from intelligence to ADHD risk. Furthermore, these shared loci showed largely consistent effect directions across additional GWAS datasets, providing support for the robustness of the findings. CONCLUSIONS: The shared genetic architecture between ADHD and intelligence varies across ADHD subtypes, highlighting distinct biological pathways underlying cognitive heterogeneity in ADHD. These findings suggest that the relationship between ADHD liability and general cognitive ability is not uniform across ADHD subtypes and may inform future research on risk stratification and early identification in child and adolescent psychiatry.

Humans