ArticleCommunications biology2026
Multicellular origins of murine ovarian inflammaging.
Article in Communications biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Identification of Inflammatory Markers for the Prediction and Diagnosis of Diminished Ovarian Reserve Using Olink Targeted Proteomics.Journal of clinical medicine · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Age-dependent reproductive decline has become a significant global health concern as the average maternal age at first birth increases. Fertility loss associated with reproductive aging is driven in part by alterations to ovarian composition and function, dysregulation of folliculogenesis, and increased inflammatory signaling. Our understanding of the molecular changes underlying ovarian aging has been expanded by single-cell and spatial transcriptomic studies, which identified infiltration of immune cells as a feature of ovarian aging. However, the function of these age-associated immune cells and their potential contributions to the inflammaging phenotype remain unclear. In this study, we integrate single-cell and spatial transcriptomics to define changes in the composition and intercellular signaling in the aging mouse ovary. We identify specific macrophage and T cell subpopulations that increase with age and are key sources of pro-inflammatory signaling in old ovaries. Further, we predict bidirectional signaling between these pro-inflammatory cells and granulosa cell populations that may impair follicular growth and development while promoting immune cell recruitment. These findings provide insights into the mechanisms that drive ovarian inflammaging.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.