Sex differences in islet stress responses support female beta cell resilience
Brownrigg, G. P.; Xia, Y. H.; Jamie Chu, C. M.; Wang, S.; Chao, C.; Zhang, J. A.; Skovso, S.; Panzhinskiy, E.; Hu, X.; Johnson, J. D.; Rideout, E. J.
Show abstract
ObjectivePancreatic {beta} cells play a key role in glucose homeostasis; dysfunction of this critical cell type causes type 2 diabetes (T2D). Emerging evidence points to sex differences in {beta} cells, but few studies have examined male-female differences in {beta} cell stress responses and resilience across multiple contexts, including diabetes. Here, we address the need for high-quality information on sex differences in {beta} cell/islet gene expression and function using both human and rodent samples. MethodsWe compared {beta} cell gene expression and insulin secretion in donors living with T2D to non-diabetic donors in both males and females. In mice, we generated a well-powered islet RNAseq dataset from 20-week-old male and female siblings with equivalent insulin sensitivity. Because on our unbiased analysis of gene expression pointed to sex differences in endoplasmic reticulum (ER) stress response, we subjected islets isolated from age-matched male and female mice to thapsigargin treatment and monitored protein synthesis, cell death, and {beta} cell insulin production and secretion. Transcriptomic and proteomic analyses were used to characterize sex differences in islet responses to ER stress. ResultsOur single-cell analysis of human {beta} cells revealed sex-specific changes to gene expression and function in T2D, correlating with more robust insulin secretion in islets isolated from female donors living with T2D compared to male T2D donors. In mice, RNA sequencing revealed differential enrichment of unfolded protein response pathway-associated genes, where female islets showed higher expression of genes linked with protein synthesis, folding, and processing. This differential expression was biologically significant, as female islets were more resilient to ER stress induction with thapsigargin. Specifically, female islets maintained better insulin secretion and showed a distinct transcriptional response under ER stress compared with males. ConclusionsOur data demonstrate that physiologically significant sex differences in {beta} cell gene expression exist in both humans and mice, and that female {beta} cells maintain better insulin production and secretion across multiple physiological and pathological contexts.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Furin controls β cell function via mTORC1 signaling 98%
- Predisposition to Proinsulin Misfolding as a Genetic Risk to Diet-Induced Diabetes 98%
- Stromal Interaction Molecule 1 Maintains β Cell Identity and Function in Female Mice through Preservation of G Protein-Coupled Estrogen Receptor 1 Signaling 97%
Similar papers in this journal
- Beta-cell mass expansion during puberty involves serotonin signaling and determines glucose homeostasis in adulthood 97%
- Perilipin2 down-regulation in beta cells impairs insulin secretion under nutritional stress and damages mitochondria 97%
- 14-3-3ζ constrains insulin secretion by regulating mitochondrial function in pancreatic β-cells 97%
Similar papers in this journal
- β-Hydroxybutyrate promotes basal insulin secretion while decreasing glucagon secretion in mouse and human islets. 97%
- Acute Inhibition of Adipose Triglyceride Lipase by NG497 Dysregulates Insulin and Glucagon Secretion from Human Islets 96%
- The Cardiolipin Transacylase Tafazzin Regulates Basal Insulin Secretion and Mitochondrial Function in Pancreatic Islets from Mice 96%
Similar papers in this journal
- Pharmacologic rescue of circadian β-cell failure through P2Y1 purinergic receptor identified by small-molecule screen 97%
- Fluorescein-based sensors to purify human α-cells for functional and transcriptomic analyses 95%
- Molecular mapping and functional validation of GLP-1R cholesterol binding sites in pancreatic beta cells 95%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.