Evidence map›Paper›PMID 41867712›Full record

ArticlebioRxiv : the preprint server for biology2026

Simulated Microgravity Recapitulates Aspects of Biological Aging in Humans.

Fei Wu, Alexander Chebykin, Anna Rychkova, Kevin Schneider, Matias Fuentealba, Abhayjit Saini, Heather Halaweh, Nathan Bracey, Mark Davis, Daniel A Winer and 1 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Fei WuBuck AI Platform, Buck Institute for Research on Aging, Novato CA 94945, USA.ORCID 0000-0002-8353-7676
Alexander ChebykinBuck AI Platform, Buck Institute for Research on Aging, Novato CA 94945, USA.
Anna RychkovaCosmica Biosciences, San Francisco, CA 94107, USA.
Kevin SchneiderBuck AI Platform, Buck Institute for Research on Aging, Novato CA 94945, USA.
Matias FuentealbaBuck AI Platform, Buck Institute for Research on Aging, Novato CA 94945, USA.
Abhayjit SainiCosmica Biosciences, San Francisco, CA 94107, USA.
Heather HalawehBuck AI Platform, Buck Institute for Research on Aging, Novato CA 94945, USA.
Nathan BraceyStanford University School of Medicine, CA 94305, USA.
Mark DavisStanford University School of Medicine, CA 94305, USA.
Daniel A WinerCosmica Biosciences, San Francisco, CA 94107, USA.
David FurmanBuck AI Platform, Buck Institute for Research on Aging, Novato CA 94945, USA.

Funding

The effects of immune-age on immune-response and the molecular mechanisms which drive itP01AI153559 · NIAID · STANFORD UNIVERSITY · PI DAVIS, MARK MORRIS · 2021 to 2025
$17.8M
NIAID NIH HHS P01 AI153559
6 · The paper itself

Abstract

Spaceflight and microgravity profoundly affect human physiology and have been proposed to recapitulate key features of biological aging, yet the underlying mechanisms remain incompletely understood. Here, we performed whole-genome transcriptomic profiling to define immune cell alterations associated with both natural aging and simulated microgravity. Leveraging the longitudinal nature of the Stanford 1,000 immunomes Project, we compared peripheral blood mononuclear cells (PBMCs) exposed to rotating wall vessel bioreactor with matched samples collected up to 9 years later from the same individuals. We quantified changes across aging hallmarks, molecular pathways, gene modules, cellular energetics, disease risk and vaccine-response signatures. Microgravity-induced transcriptional closely tracked subject-level aging trajectories spanning across disease risk domains including those affecting the metabolic, musculoskeletal and circulatory systems, and multiple aging hallmarks involving nutrient sensing, intrinsic capacity, chronic inflammation, proteostasis, cellular senescence and metabolic regulation. Independent validation using Single-Cell Energetic Metabolism by Profiling Translation Inhibition (SCENITH) profiling confirmed these observed metabolic adaptations and revealed reduced mitochondrial dependence with minimal compensatory glucose dependence across immune cell subsets, features that strongly parallel aging biology. Consistent with previous findings, longitudinal changes indicated that close of 1/3 of participants do not follow population trajectories but these can be partly predicted with simulated microgravity exposure. Together, this within-donor framework establishes simulated microgravity as a scalable and experimentally tractable platform to model aspects of biological aging in humans and accelerating the prioritization of candidate countermeasures for spaceflight and aging on Earth.

Identifiers

PMID41867712
PMCPMC13001487

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.