Últimas 48 h · PubMed · Europe PMC · bioRxiv · incluye Aging-US y Rejuvenation Research vía PubMed
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bioRxiv (preprint)
· 2026-07-13 · biorxiv
· doi:10.64898/2026.06.23.733964
Nasrashvili, T.; Emini, B.; Cirri, E.; Rahnis, N.; Poempner, N.; Gerner, C.; Grillari, J.; Heller, R.; Kaether, C.
Cellular senescence is characterized by stable cell cycle arrest and the senescence-associated secretory phenotype (SASP), which drives tissue remodeling and inflammation. Underlying SASP with its increased secretion of cytokines and other secreted proteins is a massive reorganization of the secretory pathway. While transcriptional regulation of senescence has been extensively studied, the contri…
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bioRxiv (preprint)
· 2026-07-13 · biorxiv
· doi:10.64898/2026.07.11.737954
Mbaekwe, U.; Shi, J.; Ting, N.-C.; Hu, Q.; Gingras, S.; Koenigshoff, M.; Kliment, C. R.
Stem cell dysfunction and loss of renewal capacity are primary characteristics of tissue aging and decremental regeneration in response to injury. Alveolar type 2 cells (AT2) are key progenitor cells responsible for lung repair and are thought to be dysfunctional in diseases such as chronic obstructive pulmonary disease (COPD). AT2 cells are highly metabolic and rely on mitochondria, but how mito…
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bioRxiv (preprint)
· 2026-07-12 · biorxiv
· doi:10.1101/2025.10.03.680349
Aziz-Zanjani, M. O.; Turn, R. E.; Hang, Y.; Asthana, A.; LaBrie, L. E.; Mobedi, M.; Xu, L. A.; Ramste, A.; Krawitzky, M.; Knowles, J.; Kim, S. K.; Jackson, P. K.
Pancreatic islet {beta} cells integrate glucose and hormonal cues to control insulin secretion through spatially and temporally organized phosphorylation networks in health and diabetes. Here, using Metabolic STAMP (Synchronized Temporal-Spatial Analysis via Microscopy and Phosphoproteomics), we combine time-resolved phosphoproteomics, imaging, and kinase inhibition in mouse {beta} cells and huma…
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bioRxiv (preprint)
· 2026-07-12 · biorxiv
· doi:10.64898/2026.05.22.727332
Ando, Y.; Yada, Y.; Kashima, M.; Bessho, Y.; Hirata, H.; Naoki, H.; MATSUI, T.
Quantifying differences in aging among individuals of the same chronological age could provide a direct measure of biological aging. However, existing methods often estimate biological age by predicting chronological age and treat such individual differences as prediction errors. We developed InferAging, a framework that estimates biological age by explicitly modeling individual deviations from c…
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JPRAS open
· 2026 Sep · pubmed
· doi:10.1016/j.jpra.2026.05.041
Bohórquez JMC, Wan J, Wong IKJ, Green JB
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Aging
· 2026 May 29 · pubmed
· doi:10.18632/aging.206386
Nishimura T, Horigome A, Tanaka M, Hishida Y
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Aging
· 2026 Jun 26 · pubmed
· doi:10.18632/aging.206392
Menard R, Madelaine R
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Rejuvenation research
· 2026 Jun 17 · pubmed
· doi:10.1177/15491684261462406
Zhang Y, Gao Y, Luo A, Liang A
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Rejuvenation research
· 2026 Jun 17 · pubmed
· doi:10.1177/15491684261462413
Chan AHY, Beyene K, Lai B, Kim S
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Rejuvenation research
· 2026 Jun 17 · pubmed
· doi:10.1177/15491684261460844
Kim S, Park SK
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Rejuvenation research
· 2026 Jul 9 · pubmed
· doi:10.1177/15491684261460820
Hao Z, Meng T, Li S, Bu Y
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Aging
· 2026 Jul 8 · pubmed
· doi:10.18632/aging.206398
Lorente ABL, Vazquez S, Iwasaki K, Adebayo A
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Aging
· 2026 Jul 6 · pubmed
· doi:10.18632/aging.206395
Flora Y, Shastri D, DeLeo KR, Bohnert KA
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Neurochemical research
· 2026 Jul 14 · pubmed
· doi:10.1007/s11064-026-04829-0
Muratori BG, Caetano CR, da Veiga IET, Soliani AG
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The Journal of craniofacial surgery
· 2026 Jul 14 · pubmed
· doi:10.1097/SCS.0000000000012745
Zhao J, Zhang K, Jiang W, Zhai Z