Project description:The regulation of endometrial inflammation has important consequences for the resumption of bovine fertility post-partum. All cows experience bacterial influx into the uterus after calving; however a significant proportion fail to clear infection leading to the development of cytological endometritis (CE) and compromised fertility. We hypothesised that early immunological changes could not only act as potential prognostic biomarkers for the subsequent development of disease but also shed light on the pathogenesis of endometritis in the post-partum dairy cow. Here, next-generation sequencing from endometrial biopsies taken at 7 days post-partum (DPP) identified significant expression of inflammatory genes in all cows. Despite the common inflammatory profile and enrichment of the Toll-like receptor, NFκB and TNF signalling pathways, 73 genes and 31 miRNAs differentiated between healthy cows (HC, n=9) and cows which subsequently developed CE at 7 DPP (n=6, FDR<0.1). In healthy cows, 4197 differentially expressed genes between 7 and 21 DPP whereas only 31 genes were differentially expressed in samples from cows with CE. At 21 DPP, a further 1167 genes were differentially expressed between HC cows and cows diagnosed with CE (FDR<0.1). These changes in host gene expression reflected culture-independent microbiological analysis which showed significant differences in uterine bacterial profiles between groups. Inflammatory activity was not confined to the uterus; decreased circulating granulocytes and increased Acute Phase Protein (SAA and HP) plasma expression levels were detected at 7 DPP in cows that developed CE. In conclusion, our data suggests that the major inflammatory cascade activated early post-partum is resolved thereby restoring homeostasis in healthy cows by 21 DPP, but this transition fails to occur in cows which develop CE. Despite a common inflammatory profile, differential expression of specific immune genes may identify cows at risk of prolonged inflammation and the development of CE post-partum.

Project description:Introduction: About 1 billion people are living with obesity worldwide. GLP-1-based drugs have massively transformed care, but long-term consequences are unclear in part due to reductions in energy expenditure with ongoing use. Diet-induced thermogenesis (DIT) and cold exposure (CE) raise EE via brown adipose tissue (BAT) activation and beiging of white adipose tissue (WAT). Methionine restriction (MetR) is a candidate DIT stimulus, but its EE effect has not been benchmarked against CE, nor have their tissue-level interactions been defined. Objective & Methods: In a 2×2 design (Control vs. MetR; room temperature, RT: 22 °C vs. CE: 4 °C for 24 h), we used male C57BL/6N mice to benchmark MetR-induced thermogenesis against CE and mapped how diet and temperature interact across tissues. Bulk RNA-seq profiled liver, iBAT, iWAT, and eWAT. Differential expression was modeled with main effects and a diet×temperature interaction. KEGG GSEA was used to assess pathway-level enrichment. Results: MetR increased EE at RT and shifted fuel use towards lipid oxidation, supporting MetR as a bona fide DIT stimulus. CE elevated EE across diets and blunted diet differences. Transcriptomic responses were tissue-specific: in liver, CE dominated gene induction while MetR and CE cooperatively repressed genes. The combination enriched glucagon/AMPK-linked and core metabolic pathways. In iBAT, CE dominated thermogenic and lipid-oxidation programs with minimal MetR contribution. In iWAT, MetR and CE acted largely additively with high concordance, enhancing fatty-acid degradation, PPAR signaling, thermogenesis, and TCA cycle pathways. In eWAT, robust co-dependent and synergistic differential expression emerged only with MetR+CE. Conclusion: MetR is a genuine DIT stimulus that remodels metabolism in a tissue-specific manner. Our study provides a tissue-resolved transcriptomic resource that benchmarks diet-induced (MetR) against cold-induced thermogenesis and maps their interactions across liver, iBAT, iWAT, and eWAT.

Dataset Information

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets