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Biomedical subjects

Junli Wang

Publications and source records attributed to Junli Wang.

2 recordsLinked to original sources
PubMed2026

Association between seminal and serum iron parameters and male infertility: a systematic review and meta-analysis.

BACKGROUND: Iron is an essential trace element for normal spermatogenesis, yet excessive iron accumulation may impair male fertility. Preliminary studies imply a link between elevated iron levels and male infertility, but evidence remains limited without systematic quantitative synthesis. This metaanalysis assessed the association between iron concentrations and male infertility. METHODS: We systematically searched PubMed, CBM, CNKI and Cochrane Library. RevMan, Stata and R were used for data analysis. Randomeffects models pooled effect sizes, with forest and funnel plots generated to evaluate seminal and serum iron levels in male infertility. RESULTS: After screening studies published up to April 2025, a total of ten eligible articles involving 985 participants were finally included in this meta-analysis. Pooled results revealed that seminal and serum iron concentrations were notably higher in infertile males compared with fertile controls. Specifically, infertile men presented higher seminal iron levels (SMD&#x2009;=&#x2009;0.44, 95% CI: 0.12-0.76, P&#x2009;<&#x2009;0.05), as well as elevated serum iron levels (SMD&#x2009;=&#x2009;3.77, 95% CI: 1.68-5.87, P&#x2009;<&#x2009;0.05). The present results suggest that increased seminal and serum iron concentrations may be potentially correlated with male infertility risk.

Humans↗
PubMed2026

Single-nucleotide transcription start sites profiling via Nascent Strand-Specific RNA sequencing uncovers IFN-&#x3b3;-induced promoter dynamics.

Transcriptional regulation is a highly dynamic process in which nascent RNAs provide the most immediate readout of transcriptional activity. Precise mapping of transcription start sites (TSSs) is therefore critical for understanding promoter architecture and gene regulation, yet remains technically challenging. Here, we introduce Nascent Strand-Specific RNA sequencing (NSS-seq), a robust and streamlined method for genome-wide profiling of the capped 5' ends of nascent RNAs. By directly capturing transcription initiation events, NSS-seq overcomes the temporal delay inherent to conventional RNA-seq and enables time-resolved interrogation of transcriptional dynamics. Applied to interferon-&#x3b3; (IFN-&#x3b3;)-stimulation, NSS-seq uncovers previously unrecognized IFN-&#x3b3;-responsive genes and transient transcription factor activation patterns underlying interferon-mediated tumor-suppressive functions. Together, NSS-seq provides a cost-effective and technically accessible platform for dissecting promoter-level regulatory dynamics during cellular responses.

Promoter Regions, Genetic↗