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Biomedical subjects

Yi Zheng

Publications and source records attributed to Yi Zheng.

7 recordsLinked to original sources
PubMed2026

Parenting styles and fertility intention: Mediating effects of childbearing beliefs and psychological resilience.

China's declining fertility rate is partly due to low fertility intention among childbearing population. To understand family influence on young people's fertility intention and its underlying mechanisms, this study examines how parenting styles (authoritarian vs. permissive) affect Chinese college students' fertility intention, with traditional childbearing beliefs and resilience as mediators. Data were collected from 839 participants (Age: M = 21.1, SD = 1.7 years) using structured questionnaires. Logistic regression found that a positive correlation between permissive parenting style and fertility intention, with authoritarian parenting having no impact. Mediation analysis showed the association between permissive parenting style and fertility intention was fully mediated through resilience ( = 0.0, 95%CI = [0.0,0.1]) and greater childbearing beliefs ( = 0.0, 95%CI = [0.0,0.1]). The findings indicate that permissive parenting is related to higher fertility intention in youth via resilience and childbearing beliefs. Promoting positive family environments and permissive parenting may enhance childbearing intention.

Humans↗
PubMed2026

Meta-ERS: an exposome-based risk score using non-genetic factors to guide osteoporosis prevention.

BACKGROUND: Osteoporosis is influenced by both genetic and environmental factors, yet the relative contribution of the exposome remains unclear. This study aimed to systematically identify non-genetic exposures related to osteoporosis and develop an exposome risk score (ERS) to evaluate individual osteoporosis susceptibility. METHODS: We conducted an exposome-wide analysis of 477,792 UK Biobank participants to identify key exposures associated with osteoporosis. The selected exposures were combined into a weighted Meta-ERS and validated in the Scotland/Wales cohort. The Meta-ERS was further compared with polygenic risk scores (PRS) and linked to plasma proteomics to explore underlying biological pathways. RESULTS: We identified 41 independent non-genetic exposures spanning socioeconomic status, mental health, sleep, diet, smoking, physical activity, environment, and marital status, with socioeconomic status and mental health emerging as the most significant drivers. Based on the identified exposures, we constructed eight domain-specific exposure risk scores and integrated them into a weighted Meta-ERS. The Meta-ERS (R2 = 5.1%; Proportion of Chi-Square = 14.3%) demonstrated an ability to explain osteoporosis variation that was on par with polygenic risk scores (R2 = 4.8%; Proportion of Chi-Square = 12.0%). Importantly, modifying unfavorable exposures mitigated the negative effect of PRS on osteoporosis, particularly among high PRS individuals (1.5- to 1.8-fold greater absolute risk reduction than in those with low PRS). Proteomic analyses further revealed potential mechanisms through which the exposome influences osteoporosis, including hormonal regulation, inflammation, ossification, muscle development, lipid metabolism, and accelerated bone aging. Among these, growth/differentiation factor 15 was identified as a key mediator protein, with a mediation proportion of 13.13%-36.52%. CONCLUSIONS: The Meta-ERS facilitates the quantification of individual osteoporosis risk and identifies modifiable exposures for targeted prevention. Its application can enable personalized risk stratification and guide lifestyle or environmental interventions.

Aged↗
PubMed2026

Proteomics-driven discovery of intervention windows and risk subtypes in osteoporosis: A prospective cohort study.

Given the limited feasibility of population-wide bone mineral density screening and the infrequency of long-term monitoring in healthy individuals, identifying the window for early intervention and the populations to be prioritized for screening is critical. This study aimed to identify intervention windows for osteoporosis and to determine potential high-risk subtypes within the healthy population. Based on proteomic data from 41,408 healthy adults, we conducted the DE-SWAN method to identify change peaks in plasma protein during the pre-diagnostic osteoporosis phase, and employed finite Gaussian mixture model-based clustering to delineate high-risk subtypes of osteoporosis. We identified 122 protein biomarkers significantly associated with osteoporosis risk throughout the follow-up period. Importantly, we identified two critical peaks occurring approximately 10 and 6 years before diagnosis, with the former enriched in immune-related pathways and the latter prominently involving responses to retinoic acid and glucocorticoids. Furthermore, one high-risk subtype for osteoporosis was identified in both males and females, termed the Frailty and Obesity Subtype. This subtype is characterized by a high degree of frailty and obesity, accompanied by a significantly elevated risk of both osteoporosis and fractures. Finally, we developed a predictive model comprising 10 proteins for identifying high-risk subtypes of osteoporosis, which demonstrated better performance than the traditional risk factor model (AUC: 0.743 vs. 0.680). Our findings demonstrate that proteomic profiling can reveal early molecular changes and identify high-risk subtypes years before clinical onset, providing a foundation for screening and precision prevention of osteoporosis.

Proteomics↗
PubMed2025

Population pharmacokinetics and dosing optimization of cefoselis in paediatric patients with haematological malignancies.

BACKGROUND: Cefoselis is a fourth-generation cephalosporin primarily indicated for infections caused by susceptible bacteria. The pharmacokinetic (PK) characteristics, efficacy and safety of cefoselis in paediatric patients with haematological malignancies remain unclear, posing a risk of suboptimal exposure and associated therapeutic failure or toxicity. Therefore, we studied cefoselis pharmacokinetics (PK) to optimize dosing in paediatric patients with haematological malignancies. METHODS: Blood samples were collected from paediatric patients with haematological malignancies. A population PK (PopPK) analysis was performed using NONMEM (v7.4). Monte Carlo simulations were used to evaluate current dosing regimens by calculating the PTA. Pharmacodynamic target was defined as unbound plasma concentrations above the MIC throughout the entire dosing interval. Clinical efficacy and safety data were collected. RESULTS: A total of 96 samples from 53 patients were collected. A two-compartment model with zero-order input and first-order elimination best described the PK of cefoselis after IV administration. Weight was the only covariate that affected PK. Monte Carlo simulations showed that the PTA was more than 96.7% for susceptible pathogens (MIC = 0.25 mg/L) at 40 mg/kg, and less than 30.5% for Pseudomonas aeruginosa (MIC = 32 mg/L) at 80 mg/kg. A total of 39 patients had body temperatures below 37.3°C after 3 ± 1 days of cefoselis treatment (with a median baseline temperature of 38.5°C). There were no adverse events leading to discontinuation. CONCLUSIONS: A PopPK model of cefoselis in paediatric patients with haematological malignancies was established and the dosing regimens were evaluated.

Humans↗
PubMed2025

The chromosome-level genome assembly of Prunus cerasifera 'Atropurpurea'.

Prunus cerasifera 'Atropurpurea' (Purpleleaf Plum), known for its unique purple-red foliage, is an important ornamental plant that enhances the aesthetic value of urban greening. To explore the molecular mechanisms underlying leaf color changes, this study assembled the Purpleleaf Plum genome, providing new insights for related research. We used HiFi sequencing data to assemble its genome. After chromosome anchoring, the final genome size was 244.89 Mb, with a contig N50 of 26.60 Mb, and approximately 97.10% of sequences were anchored to 8 chromosomes. Genome annotation identified 28,231 protein-coding genes, with LTR transposons comprising 27.93% of the genome. BUSCO assessment revealed a genome completeness of 98.9%. Telomeric repeat analysis identified 14 telomeres, with six chromosomes capped by double telomeres and two chromosomes containing a single telomere. This high-quality Purpleleaf Plum genome provides a solid foundation for future gene function analysis, cultivar improvement, and genetic research, offering valuable resources for related fields.

Genome, Plant↗
PubMed2025

ZNF593 regulates the cGAS-mediated innate immune response by attenuating cGAS-DNA binding.

The enzyme cyclic GMP-AMP synthase (cGAS) is essential for detecting aberrantly located double-stranded DNA (dsDNA) from genomic, mitochondrial, and microbial origins. Through the synthesis of 2'3'-cGAMP, cGAS triggers the activation of the stimulator of interferon genes pathway, which initiates in vivo innate immune responses. Here, we identify zinc finger proteins ZNF593, which translocate from the nucleus to the cytoplasm after viral infection, as a negative regulator of antiviral type I IFN (IFN-I) production. ZNF593 directly binds to cGAS and suppresses its activation by inhibiting the cGAS-dsDNA interaction. ZNF593 deficiency increases IRF3 nuclear translocation and promotes DNA virus-triggered IFN production. Furthermore, ZNF593 deficiency promotes antiviral innate responses in vivo, improving survival rates in mice against HSV-1 infection. We further find that ZNF593 plays a protective role in systemic lupus erythematosus (SLE) pathology. Notably, replenishing ZNF593 effectively reduced IFN production in peripheral blood mononuclear cells (PBMCs) of SLE patients or in the TMPD-induced murine SLE model. Our findings suggest that ZNF593 negatively regulates IFN-β signaling by targeting cGAS activation, providing new insights into the regulatory mechanisms for antiviral defenses and autoimmune diseases.

Nucleotidyltransferases↗
PubMed2022

In vitro germ cell induction from fertile and infertile monozygotic twin research participants.

Human induced pluripotent stem cells (hiPSCs) enable reproductive diseases to be studied when the reproductive health of the participant is known. In this study, monozygotic (MZ) monoamniotic (MA) twins discordant for primary ovarian insufficiency (POI) consent to research to address the hypothesis that discordant POI is due to a shared primordial germ cell (PGC) progenitor pool. If this is the case, reprogramming the twin's skin cells to hiPSCs is expected to restore equivalent germ cell competency to the twins hiPSCs. Following reprogramming, the infertile MA twin's cells are capable of generating human PGC-like cells (hPGCLCs) and amniotic sac-like structures equivalent to her fertile twin sister. Using these hiPSCs together with genome sequencing, our data suggest that POI in the infertile twin is not due to a genetic barrier to amnion or germ cell formation and support the hypothesis that during gestation, amniotic PGCs are likely disproportionately allocated to the fertile twin with embryo splitting.

Humans↗