Back

Distinct senescent β-cell senotypes differentially drive islet aging and dysfunction

Iwasaki, K.; Pan, H.; M. Dreyfuss, J.; Jackson, M.; Domanskyi, S.; Baker, D.; Carapeto, P.; Cahill, C.; Le, S.; Hela, F.; Alcoforado Diniz, J.; Naim Eryilmaz, G.; Wu, F.; Wu, P.-H.; Yu, B.; Wirtz, D.; Espinoza, S.; Pena, A.; G. Cigarroa, F.; Abrahamian, G.; Woodworth, J. L.; Adams, P. D.; Ucar, D.; Chuang, J. H.; Wu, Q.; Garovic, V. D.; Kirkland, J. L.; Tchkonia, T.; Musi, N.; Kuchel, G. A.; Robson, P.; Aguayo-Mazzucato, C.

2026-05-28 cell biology
10.64898/2026.05.25.727705 bioRxiv
Show abstract

Biological aging greatly impacts the bodys ability to handle glucose, and represents a major risk factor the development and progression of type 2 diabetes (T2D). Nonetheless, despite advances in cellular senescence research and the development of new senolytic therapies, the heterogeneity of cellular senescence in the human endocrine pancreas, as well as its roles in normal aging, remains to be elucidated at the single-cell level. Here, we performed single-cell-resolved spatial proteomics and transcriptomics on intact pancreas from 26 donors (ages 20-80) and multiplexed single-cell RNA sequencing and functional assays on dispersed islets from 14 donors (ages 34-69). We identify two discrete SnC subpopulations distinguished by relative expression of CDKN1A and CDKN2A. CDKN1A senescent cells (SnCs) exhibit loss of {beta}-cell identity, impaired insulin secretion, and a proinflammatory SASP associated with increased islet immune infiltration. In contrast, CDKN2A SnCs retain transcriptional identity and functional competence, with lower inflammatory signaling. Together, these findings identify heterogeneous and functionally divergent senotypes in the human pancreas, distinguishing an adaptive (CDKN2A) from a maladaptive (CDKN1A) senescence program, thus providing a mechanism-guided framework for senescence-targeted therapies in T2D.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

1
Cell Metabolism
57 papers in training set
Top 0.1%
18.8%
2
Cell Reports
1498 papers in training set
Top 0.8%
13.1%
3
Aging Cell
165 papers in training set
Top 0.4%
10.0%
4
Nature Aging
60 papers in training set
Top 0.1%
9.8%
50% of probability mass above
5
Nature Metabolism
69 papers in training set
Top 0.3%
7.4%
6
Nature Communications
5641 papers in training set
Top 26%
5.6%
7
GeroScience
109 papers in training set
Top 0.7%
3.3%
8
JCI Insight
277 papers in training set
Top 3%
2.8%
9
eLife
5828 papers in training set
Top 43%
2.2%
10
Proceedings of the National Academy of Sciences
2444 papers in training set
Top 28%
1.7%
11
Advanced Science
286 papers in training set
Top 6%
1.4%
12
Developmental Cell
196 papers in training set
Top 3%
1.1%
13
iScience
1154 papers in training set
Top 29%
1.1%
14
Nature Medicine
125 papers in training set
Top 3%
1.0%
15
Science Advances
1243 papers in training set
Top 29%
0.9%
16
Nature Cell Biology
118 papers in training set
Top 3%
0.9%
17
Cell Stem Cell
62 papers in training set
Top 2%
0.9%
18
Immunity
67 papers in training set
Top 2%
0.9%
19
Communications Biology
993 papers in training set
Top 29%
0.9%
20
Molecular Cell
350 papers in training set
Top 5%
0.9%
21
Molecular Neurodegeneration
55 papers in training set
Top 2%
0.6%
22
Molecular Metabolism
112 papers in training set
Top 2%
0.6%
23
The EMBO Journal
309 papers in training set
Top 7%
0.6%
24
Diabetes
56 papers in training set
Top 0.9%
0.6%