PubMed HealthSearch

Biomedical subjects

Yanyan Sun

Publications and source records attributed to Yanyan Sun.

2 recordsLinked to original sources

RUNX3: a regulator of macrophage apoptosis with positive prognostic impact in sepsis.

BACKGROUND: Sepsis, a life-threatening condition, remains a leading cause of mortality globally. Transcription factors (TFs) play a pivotal role in its pathogenesis. RUNX3, a member of the RUNX family, has been implicated in immune regulation, but its function in sepsis remains unclear. OBJECTIVE: To determine whether RUNX3 expression is altered in sepsis and associated with patient prognosis, and to investigate its function and potential transcriptional regulatory targets in macrophages. METHODS: We analyzed RNA-seq data from sepsis patients to identify differentially expressed TFs and examined the prognostic impact of RUNX3 by Kaplan-Meier survival analysis. RUNX3 was stably overexpressed in RAW264.7 macrophages, and cell proliferation and apoptosis were assessed by EdU and flow cytometry assays. RNA-seq of RUNX3-overexpressing cells was performed to identify potential transcriptional regulatory targets, a subset of which was validated by RT-qPCR. RESULTS: RUNX3 expression was downregulated in sepsis patients, and low RUNX3 expression was associated with poor prognosis. RUNX3 overexpression promoted proliferation and inhibited apoptosis in RAW264.7 cells. Integrating RNA-seq with public RUNX3 binding data identified 89 potential transcriptional regulatory targets, among which Tgfbr3, Tgfbi, Il2rb, Gbp2, Gzmb, and Ptgds were confirmed as RUNX3-responsive by RT-qPCR. High expression of these targets was associated with favorable prognosis in sepsis patients. CONCLUSION: RUNX3 is closely associated with the prognosis of sepsis, and its overexpression promotes proliferation and suppresses apoptosis in macrophages, potentially by regulating downstream target genes, providing a novel perspective on sepsis pathogenesis.

Apoptosis

Research note: Genetic background influences the relationship between age at first egg and long-term egg production in layers.

Age at first egg (AFE) is a key selection criterion in layers breeding. With the laying cycle being extended to 100 weeks, the relationship between AFE and long-term productivity and egg quality should be evaluated to ensure that selection for AFE aligns with current breeding objectives. In this study, Beijing-You chickens and White Leghorns were used to generate purebreds and crossbreds. Egg-laying performance was recorded including AFE, egg number and cumulative egg number at different stages from onset till 100 weeks, and egg quality traits at 32, 54, 72, 86, and 100 weeks. Genetic correlations were estimated, both in the combined population of purebreds and crossbreds and within each genetic group. In the combined population, a positive genetic correlation was observed between AFE and cumulative egg number till 100 weeks. Age-dependent genetic correlations between egg number at different stages and AFE further revealed that extremely early-maturing hens showed initial production advantages, but these advantages diminished at later stages. Importantly, the genetic and phenotypic correlations between AFE and egg quality traits were weak, with correlation coefficients ranging from -0.18 to 0.35. Within each genetic group, the relationships between AFE and egg production also showed consistent age-dependent patterns. For the long-term production targets, optimal AFE seems to differ by genetic backgrounds. White Leghorns showed higher egg production with earlier maturity, whereas in Beijing-You chickens, maintaining AFE at approximately 140-189 days appeared to be more favorable. Overall, these findings demonstrated that earlier AFE does not ensure higher egg production at extended laying cycles and has negligible influence on egg quality, highlighting the importance of optimizing AFE according to genetic background.

Age at first egg