Evidence map›Paper›PMID 40224958›Full record

ArticleJournal of tissue engineering and regenerative medicine2025

Combination Therapy of Losartan and Fisetin Reduces Senescence and Enhances Osteogenesis in Human Bone Marrow-Derived Mesenchymal Stem Cells.

Haruki Nishimura, Yoichi Murata, Michael T Mullen, Kohei Yamaura, Jacob Singer, Charles Huard, Dane R G Lind, William S Hambright, Chelsea S Bahney, Marc J Philippon and 1 more

Abstract read
In one paragraph

Article in Journal of tissue engineering and regenerative medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Haruki NishimuraCenter for Regenerative and Personalized Medicine, Steadman Philippon Research Institute, Vail, Colorado, USA.ORCID https://orcid.org/0000-0002-5070-1185
Yoichi MurataCenter for Regenerative and Personalized Medicine, Steadman Philippon Research Institute, Vail, Colorado, USA.
Michael T MullenCenter for Regenerative and Personalized Medicine, Steadman Philippon Research Institute, Vail, Colorado, USA.ORCID https://orcid.org/0000-0003-0110-1295
Kohei YamauraCenter for Regenerative and Personalized Medicine, Steadman Philippon Research Institute, Vail, Colorado, USA.ORCID https://orcid.org/0000-0003-2878-1390
Jacob SingerCenter for Regenerative and Personalized Medicine, Steadman Philippon Research Institute, Vail, Colorado, USA.
Charles HuardCenter for Regenerative and Personalized Medicine, Steadman Philippon Research Institute, Vail, Colorado, USA.
Dane R G LindCenter for Regenerative and Personalized Medicine, Steadman Philippon Research Institute, Vail, Colorado, USA.ORCID https://orcid.org/0000-0003-3379-0961
William S HambrightCenter for Regenerative and Personalized Medicine, Steadman Philippon Research Institute, Vail, Colorado, USA.ORCID https://orcid.org/0000-0003-4009-8041
Chelsea S BahneyCenter for Regenerative and Personalized Medicine, Steadman Philippon Research Institute, Vail, Colorado, USA.ORCID https://orcid.org/0000-0001-9808-8888
Marc J PhilipponCenter for Regenerative and Personalized Medicine, Steadman Philippon Research Institute, Vail, Colorado, USA.ORCID https://orcid.org/0000-0002-0358-3331
Johnny HuardCenter for Regenerative and Personalized Medicine, Steadman Philippon Research Institute, Vail, Colorado, USA.ORCID https://orcid.org/0000-0002-2926-569X

Funding

Therapeutic Application of Painless Nerve Growth Factor to Accelerate Endochondral Fracture RepairR01AR077761 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BAHNEY, CHELSEA SHIELDS · 2021 to 2025
$3.2M
NIAMS NIH HHS R01 AR077761
6 · The paper itself

Abstract

Bone marrow-derived mesenchymal stem cells (BM-MSCs) are well established for their osteogenic potential but are prone to senescence with aging or in vitro expansion. Drug treatments that reduce cellular senescence may enhance the regenerative capacity of BM-MSCs. This study investigates the effects of losartan and fisetin, both separately and in combination, on cellular senescence and osteogenesis. Human BM-MSCs were exposed to low and high concentrations of each drug for 24 h. Our findings showed that high-dose losartan exhibited cytotoxicity, focusing subsequent analyses on the low doses. Both low-dose losartan and fisetin effectively mitigated cellular senescence, with combined treatment showing synergistic effects in reducing senescence markers. From these initial findings, subsequent experiments utilized low doses of both compounds to evaluate their effect on differentiation capacity. Our multimodal approach, incorporating flow cytometry, senescence-associated heterochromatin foci (SAHF) immunohistochemistry, senescence-associated secretory phenotype (SASP) quantification, and differentiation potential assays, revealed that the combination of 23.6 μM of losartan and 50 μM of fisetin was optimal for reducing cellular senescence and enhancing osteogenesis in BM-MSCs. These results support potential therapeutic strategies to counteract age-related declines in bone health and improve healing. By targeting cellular senescence while promoting osteogenesis, losartan and fisetin offer promising avenues for future research aimed at enhancing the regenerative capacity of BM-MSCs in the context of musculoskeletal regenerative medicine.

Indexed as

Bone Marrow CellsCellular SenescenceFlavonoidsLosartanMesenchymal Stem CellsOsteogenesisCell DifferentiationFlavonolsHumansfisetinFlavonoidsFlavonolsLosartanbone marrow-derived mesenchymal stem cellcellular senescencefisetinlosartanosteogenesis

Identifiers

PMID40224958
PMCPMC11944977

What OpenQuestion holds

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Registered trials

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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 OpenQuestion graph.