Non-coding RNAs expression in SARS-CoV-2 infection:pathogenesis,clinical significance,and therapeutic targets

The coronavirus disease 2019(COVID-19)pandemic has been looming globally for three years,yet the diagnostic and treatment methods for COVID-19 are still undergoing extensive exploration,which holds paramount importance in mitigating future epidemics.Host non-coding RNAs(ncRNAs)display aberrations in the context of COVID-19.Specifically,microRNAs(miRNAs),long non-coding RNAs(lncRNAs),and circular RNAs(circRNAs)exhibit a close association with viral infection and disease progression.In this comprehensive review,an overview was presented of the expression profiles of host ncRNAs following SARS-CoV-2 invasion and of the potential functions in COVID-19 development,encompassing viral invasion,replication,immune response,and multiorgan deficits which include respiratory system,cardiac system,central nervous system,peripheral nervous system as well as long COVID.Furthermore,we provide an overview of several promising host ncRNA biomarkers for diverse clinical scenarios related to COVID-19,such as stratification biomarkers,prognostic biomarkers,and predictive biomarkers for treatment response.In addition,we also discuss the therapeutic potential of ncRNAs for COVID-19,presenting ncRNA-based strategies to facilitate the development of novel treatments.Through an in-depth analysis of the interplay between ncRNA and COVID-19 combined with our bioinformatic analysis,we hope to offer valuable insights into the stratification,prognosis,and treatment of COVID-19.

Causal relationships between chronotype and risk of multiple cancers by using longitudinal data and Mendelian randomization analysis

Dear Editor,Cancer is the second leading cause of death worldwide,and the cancer situation is becoming more complicated(Zhou et al.,2022).The International Agency for Research on Cancer(IARC)Monographs Working Group classified night shift work as probably carcinogenic(Group 2A)to humans in2019(Ward et al.,2019).

Precision Medicine:What Challenges Are We Facing?

Following the publication of the US National Research Council （N RC） report ＂ Toward PrecMon Medicine.＂ Building a Knowledge Network for Biomedical Research and a New Taxonomy of Diseases＂ in 2011 [1], several nations have announced that their national research programs would definitely head toward this direction. Now,

Prioritization of candidate genes for attention deficit hyperactivity disorder by computational analysis of multiple data sources

Attention deficit hyperactivity disorder(ADHD)is a common,highly heritable psychiatric disorder charac-terized by hyperactivity,inattention and increased im-pulsivity.In recent years,a large number of genetic studies for ADHD have been published and related ge-netic data has been accumulated dramatically.To pro-vide researchers a comprehensive ADHD genetic re-source,we previously developed the first genetic data-base for ADHD(ADHDgene).The abundant genetic data provides novel candidates for further study.Meanwhile,it also brings new challenge for selecting promising candidate genes for replication and verification research.In this study,we surveyed the computational tools for candidate gene prioritization and selected five tools,which integrate multiple data sources for gene prioritiza-tion,to prioritize ADHD candidate genes in ADHDgene.The prioritization analysis resulted in 16 prioritized can-didate genes,which are mainly involved in several major neurotransmitter systems or in nervous system development pathways.Among these genes,nervous system development related genes,especially SNAP25,STX1A and the gene-gene interactions related with each of them deserve further investigations.Our results may provide new insight for further verification study and facilitate the exploration of pathogenesis mechanism of ADHD.