Biomedical subjects

Dongyan Wang

Publications and source records attributed to Dongyan Wang.

3 recordsLinked to original sources

PubMed2026

Genetic Variation and Evolutionary Characteristics of Coxsackievirus B1: F3 Subtype Associated With Hand, Foot and Mouth Disease in China.

Coxsackievirus B1 (CV-B1) is primarily associated with meningitis but can also cause localized outbreaks of hand, foot, and mouth disease (HFMD). This study analyzed the genetic diversity of the VP1 gene in 39 strains of the CVB1 virus isolated from HFMD children across 15 provinces in China between 2010 and 2024, as well as 179 strains from 17 countries. Based on the average nucleotide difference of VP1 gene, we classified CVB1 virus into six genotypes A to F, Notably, genotype F is newly classified. Since 2010, genotype F guadually replaced genotype E as the dominant genotype in China and has further subdivided into three subtypes: F1, F2, and F3, with F3 being the most prevalent subtype in China currently. We specifically study the mild and severe cases within the F3 subtype. Temperature-sensitivity experiments revealed no differences between mild and severe cases of the F3 subtype, and they all belong to temperature-sensitive strains. Interestingly, we found that mild cases of the F3 subtype did not involve recombination, whereas all severe cases of the F3 subtype showed recombination with Coxsackievirus B4 (CVB4). CVB4 has consistently been the primary pathogen responsible for severe neonatal illnesses, suggesting that recombination between the F3 subtype and CVB4 may be associated with the development of severe HFMD. These findings provide fundamental scientific data for further investigation into the epidemiology and genetic characteristics of variants of Coxsackievirus B1 in China.

Humans↗

PubMed2025

Global Evolution and Transmission Dynamics of Enterovirus D68.

Enterovirus D68 (EV-D68), a serotype of the enterovirus species D, has garnered significant attention due to outbreaks reported in 2014, 2016, and 2018. In this study, 36 Chinese EV-D68 strains were isolated, sequenced, and combined with all EV-D68 VP1 sequences from GenBank to form a data set of 1679 sequences. This data set served as the basis for phylogenetic, evolutionary dynamics, phylogeographic, and key amino acid site mutation analyses of EV-D68. Based on the VP1 region, EV-D68 is classified into four genotypes (A-D), and seven subgenotypes (B1-B3, D1-D4), with B3 and D3 being the predominant subgenotypes. Bayesian skyline plots indicated that genotypes B and D experienced multiple population expansions, aligning with reported EV-D68 outbreaks. Phylogeographic analyses of the B3 subgenotypes revealed sequences from Europe and North America clustering into a single evolutionary branch, suggesting significant transmission between these regions. Additionally, mutation analysis identified VP1-98 as a high-frequency mutation site, differing significantly between the previously prevalent A and C genotypes and the currently prevalent B and D genotypes. However, the functional implications of this mutation require further investigation. This study provides a solid theoretical basis for epidemiological research, disease surveillance, and prevention efforts related to EV-D68.

Enterovirus Infections↗

PubMed2024

Causal association of menstrual reproductive factors on the risk of osteoarthritis: A univariate and multivariate Mendelian randomization study.

OBJECTIVE: Several observational studies have revealed a potential relationship between menstrual reproductive factors (MRF) and osteoarthritis (OA). However, the precise causal relationship remains elusive. This study performed Mendelian randomization (MR) to provide deeper insights into this relationship. METHODS: Utilizing summary statistics of genome-wide association studies (GWAS), we conducted univariate MR to estimate 2 menstrual factors (Age at menarche, AAM; Age at menopause, AMP) and 5 reproductive factors (Age at first live birth, AFB; Age at last live birth, ALB; Number of live births, NLB; Age first had sexual intercourse, AFSI; Age started oral contraceptive pill, ASOC) on OA (overall OA, OOA; knee OA, KOA and hip OA, HOA). The sample size of MRF ranged from 123846 to 406457, and the OA sample size range from 393873 to 484598. Inverse variance weighted (IVW) method was used as the primary MR analysis methods, and MR Egger, weighted median was performed as supplements. Sensitivity analysis was employed to test for heterogeneity and horizontal pleiotropy. Finally, multivariable MR was utilized to adjust for the influence of BMI on OA. RESULTS: After conducting multiple tests (P<0.0023) and adjusting for BMI, MR analysis indicated that a lower AFB will increase the risk of OOA (odds ratio [OR] = 0.97, 95% confidence interval [CI]: 0.95-0.99, P = 3.39×10-4) and KOA (OR = 0.60, 95% CI: 0.47-0.78, P = 1.07×10-4). ALB (OR = 0.61, 95% CI: 0.45-0.84, P = 2.06×10-3) and Age AFSI (OR = 0.66, 95% CI: 0.53-0.82, P = 2.42×10-4) were negatively associated with KOA. In addition, our results showed that earlier AMP adversely affected HOA (OR = 1.12, 95% CI: 1.01-1.23, P = 0.033), and earlier ASOC promote the development of OOA (OR = 0.97, 95% CI: 0.95-1.00, P = 0.032) and KOA (OR = 0.58, 95% CI: 0.40-0.84, P = 4.49×10-3). ALB (OR = 0.98, 95% CI: 0.96-1.00, P = 0.030) and AFSI (OR = 0.98, 95% CI: 0.97-0.99, P = 2.66×10-3) also showed a negative association with OOA but they all did not pass multiple tests. The effects of AAM and NLB on OA were insignificant after BMI correction. CONCLUSION: This research Certificates that Early AFB promotes the development of OOA, meanwhile early AFB, ALB, and AFSI are also risk factors of KOA. Reproductive factors, especially those related to birth, may have the greatest impact on KOA. It provides guidance for promoting women's appropriate age fertility and strengthening perinatal care.

Humans↗