Primary assessment of the diversity of Omicron sublineages and the epidemiologic features of autumn/winter 2022 COVID-19 wave in Chinese mainland / 医学前沿

With the recent ongoing autumn/winter 2022 COVID-19 wave and the adjustment of public health control measures, there have been widespread SARS-CoV-2 infections in Chinese mainland. Here we have analyzed 369 viral genomes from recently diagnosed COVID-19 patients in Shanghai, identifying a large number of sublineages of the SARS-CoV-2 Omicron family. Phylogenetic analysis, coupled with contact history tracing, revealed simultaneous community transmission of two Omicron sublineages dominating the infections in some areas of China (BA.5.2 mainly in Guangzhou and Shanghai, and BF.7 mainly in Beijing) and two highly infectious sublineages recently imported from abroad (XBB and BQ.1). Publicly available data from August 31 to November 29, 2022 indicated an overall severe/critical case rate of 0.035% nationwide, while analysis of 5706 symptomatic patients treated at the Shanghai Public Health Center between September 1 and December 26, 2022 showed that 20 cases (0.35%) without comorbidities progressed into severe/critical conditions and 153 cases (2.68%) with COVID-19-exacerbated comorbidities progressed into severe/critical conditions. These observations shall alert healthcare providers to place more resources for the treatment of severe/critical cases. Furthermore, mathematical modeling predicts this autumn/winter wave might pass through major cities in China by the end of the year, whereas some middle and western provinces and rural areas would be hit by the upcoming infection wave in mid-to-late January 2023, and the duration and magnitude of upcoming outbreak could be dramatically enhanced by the extensive travels during the Spring Festival (January 21, 2023). Altogether, these preliminary data highlight the needs to allocate resources to early diagnosis and effective treatment of severe cases and the protection of vulnerable population, especially in the rural areas, to ensure the country's smooth exit from the ongoing pandemic and accelerate socio-economic recovery.

New genetic players in late-onset Alzheimer's disease: Findings of genome-wide association studies

Late-onset Alzheimer's disease (LOAD) or sporadic AD is the most common form of AD. The precise pathogenetic changes that trigger the development of AD remain largely unknown. Large-scale genome-wide association studies (GWASs) have identified single-nucleotide polymorphisms in multiple genes which are associated with AD; most notably, these are ABCA7, bridging integrator 1 (B1N1), triggering receptor expressed on myeloid cells 2 (TREM2), CD33, clusterin (CLU), complement receptor 1 (CRI), ephrin type-A receptor 1 (EPHA1), membrane-spanning 4-domains, subfamily A (MS4A) and phosphatidylinositol binding clathrin assembly protein (PICALM) genes. The proteins coded by the candidate genes participate in a variety of cellular processes such as oxidative balance, protein metabolism, cholesterol metabolism and synaptic function. This review summarizes the major gene loci affecting LOAD identified by large GWASs. Tentative mechanisms have also been elaborated in various studies by which the proteins coded by these genes may exert a role in AD pathogenesis have also been elaborated. The review suggests that these may together affect LOAD pathogenesis in a complementary fashion.

Transforming bacterial disease surveillance and investigation using whole-genome sequence to probe the trace / 医学前沿

Two decades have passed since the first bacterial whole-genome sequencing, which provides new opportunity for microbial genome. Consequently, considerable genetic diversity encoded by bacterial genomes and among the strains in the same species has been revealed. In recent years, genome sequencing techniques and bioinformatics have developed rapidly, which has resulted in transformation and expedited the application of strategy and methodology for bacterial genome comparison used in dissection of infectious disease epidemics. Bacterial whole-genome sequencing and bioinformatic computing allow genotyping to satisfy the requirements of epidemiological study in disease control. In this review, we outline the significance and summarize the roles of bacterial genome sequencing in the context of bacterial disease control and prevention.We discuss the applications of bacterial genome sequencing in outbreak detection, source tracing, transmission mode discovery, and new epidemic clone identification. Wide applications of genome sequencing and data sharing in infectious disease surveillance networks will considerably promote outbreak detection and early warning to prevent the dissemination of bacterial diseases.

Genomic Epidemiology of BRCA1/BRCA2; Breast Cancer Associated Genes and Use of Electronic Health Record to Reduce the Escalating Cost of Treatment.

This project reviewed gene mutations which are associated with BRCA1 and BRCA2. From epidemiological perspective, the escalating cost of breast cancer management is due to the aging phenomenon of the female cohort in United States population. Innovative genomic sequencing techniques could continue to augment gene mutations beside the BRCA1/BRCA2 and TP53, PTEN, ST11/LKB1, CDH1, CHEK2, and ATM among others. To reduce the escalating cost of breast cancer management, the application of pharmacogenomic techniques, use of electronic health record and the most appropriate software could be applied for both primary prevention and chemoprevention. Physicians and other clinicians must hone their skills in advanced Mendelian genetics to become proficient in using statistical risk analysis and the appropriate IT software to recommend primary prevention to at risk breast cancer patients.

Genomic Epidemiology of Congestive Heart Disease, Pharmacogenomics and the Relevant Health Education Implications in the Age of Genomic Medicine.

This project investigated genomic epidemiology of congestive heart disease, the clinical and non-invasive techniques for diagnosis and the modifiable and non-modifiable risk factors associated with the disease were explored. Trends in the morbidity and mortality of CHD revealed an increase in the disease frequency with minor drop in its’ trajectory into the twenty-first century. While the modifiable risk factors were discussed with suitable interventions, the non-modifiable risk factors demand prompt medical diagnosis and treatment if any. The genes incriminated were listed. The relevance of pharmacogenomics cannot be overstated in the age of genomic medical science. But by far most important is the consumption of food items rich in phyto-nutrients to maximize public health and minimize the impact of dangerous lipids in our diet.

Epidemiología y bioinformática en el estudio de la Leucemia Linfoma de Células T del Adulto asociada a la infección con VLHT-1 / Using epidemiology and bioinformatics for studying HTLV-1 infection-associated adult T-cell leukemia

Objetivos Establecer la relación entre el número de provirus VLHT-1 y las características de la cromatina adyacente en casos de Leucemia Linfoma de Células T del Adulto. Metodología Se realizó una revisión sistemática y un metaanálisis de la literatura publica que considero como variables de estudio los provirus por cromosoma y características estructurales y funcionales de la cromatina adyacente a los sitios de integración. La concordancia entre los resultados de la evaluación que emitieron dos expertos fue evaluada con el coeficiente de Spearman Rho. Se evaluó el sesgo de publicación mediante el gráfico de embudo y el estadígrafo Egger. De acuerdo con los resultados de la evaluación de la heterogeneidad se aplicó el modelo de efectos fijos para la combinación de los resultados de las integraciones que ocurrieron en: secuencias codificantes y secuencias codificantes de acuerdo con su función molecular. Resultados La concordancia entre expertos evaluadores fue de 0,7. No se encontró sesgo de publicación. Se determinó homogeneidad entre los estudios seleccionados (p>0,05). El provirus VLHT-1 se integró en secuencias en regiones teloméricas y subteloméricas. La combinación de los resultados mostró una integración sitio dirigida hacia regiones codificantes del genoma humano (p<0,05). Conclusión En su conjunto los resultados permiten concluir que la integración proviral no es al azar en LCCTA; ésta ocurrió en regiones reguladoras o de control; que explicarían algunos de los proceso moleculares involucrado en leukomogénesis.

Objectives Establishing a correlation between the number of HTLV-1 provirus and the characteristics of the genomic environment in ATL cases. Methodology A systematic search was made of publications as well as a meta-analysis of the pertinent literature considering proviruses per chromosome and structural and functional characteristics of flanking chromatin regions as variables. The concordance of experts' study was evaluated by Spearman Rho correlation. Publication bias was analysed by funnel plot and the Egger statisgrapher. A fixed effects model was applied according to heterogeneity evaluation to combine the results of integration occurring in coding sequences as well as coding sequences according to their molecular function. Results The expert concepts' Kappa index was 0.7 and no publication bias was observed. The meta-analysis result was homogeneous (p>0.05). HTLV-1 integration was directed towards several chromosomes' telomeric and subtelomeric regions. The combination of published results in the articles which were analysed supported the hypothesis of integration events being site-directed towards coding regions of the human genome (p<0.05). Moreover, the groups of genes having enzymatic and receptor functions was statistically significant. Conclusion The results led to concluding that HTLV-I integration in the ATLL cases analysed here was not random but was directed towards regulatory regions. Such results could help to explain the role of some processes involved in leukemogenesis.

Identification and Application of Biomarkers in Molecular and Genomic Epidemiologic Research / 예방의학회지

Biomarkers are characteristic biological properties that can be detected and measured in a variety of biological matrices in the human body, including the blood and tissue, to give an indication of whether there is a threat of disease, if a disease already exists, or how such a disease may develop in an individual case. Along the continuum from exposure to clinical disease and progression, exposure, internal dose, biologically effective dose, early biological effect, altered structure and/or function, clinical disease, and disease progression can potentially be observed and quantified using biomarkers. While the traditional discovery of biomarkers has been a slow process, the advent of molecular and genomic medicine has resulted in explosive growth in the discovery of new biomarkers. In this review, issues in evaluating biomarkers will be discussed and the biomarkers of environmental exposure, early biologic effect, and susceptibility identified and validated in epidemiological studies will be summarized. The spectrum of genomic approaches currently used to identify and apply biomarkers and strategies to validate genomic biomarkers will also be discussed.