What this means
The age-related decline in oocyte quality is a major risk factor for female infertility. Although transcriptome has been examined in aged oocytes, proteomic landscape, which reflects primary gene functional executors, remains largely unexplored.
A plain-English summary is on its way. Until then, this is the start of the authors' own summary.
- Who it was tested in
- People
- Kind of research
- A study
The science
- Original title
- Single-oocyte proteome-transcriptome co-profiling reveals a role of dysregulated lactate metabolism in oocyte aging.
- Authors
- Cao L, Wu H, Jiang Y et al.
- Journal
- Nature communications
- Published
- Oct 20, 2026
- Study type
- Study · in humans
- PMID
- 42901925 ↗
Abstract
The age-related decline in oocyte quality is a major risk factor for female infertility. Although transcriptome has been examined in aged oocytes, proteomic landscape, which reflects primary gene functional executors, remains largely unexplored. This gap limits our understanding of oocyte aging. To address this, we perform single-cell proteome/transcriptome co-profiling of GV/MII-aged oocytes from mice and humans, revealing species- and stage-specific proteomic/transcriptomic changes during oocyte aging. Strikingly, we observe uncoupled proteomic and transcriptomic alterations, indicating that proteomic changes in aged oocytes are not primarily driven by RNA levels. Furthermore, we capture molecular heterogeneity in aged oocytes and identify MCT4 as a candidate marker of oocyte aging. Functional studies suggest MCT4 contributes to aging-associated oocyte defects via lactate export, and its inhibition improves aged-oocyte quality. These findings indicate altered lactate metabolism as a candidate marker and intervention target for oocyte aging and underscore the value of our profiling in dissecting oocyte aging.
Cao L, Wu H, Jiang Y et al. Single-oocyte proteome-transcriptome co-profiling reveals a role of dysregulated lactate metabolism in oocyte aging. Nature communications. 2026. doi:10.1038/s41467-026-77910-5. PMID: 42901925. https://pubmed.ncbi.nlm.nih.gov/42901925/