T cell transcriptomes in simulated microgravity in vivo

Spaceflight exposes astronauts to a combination of stressors, among which microgravity remains the least well characterized at the level of human immune cell function. We examined the in vivo effect of long-term simulated microgravity (SMG) on T cell transcriptomes in ten healthy male volunteers who completed a three-week dry immersion protocol without countermeasures. Peripheral blood was collected at five time points covering a pre-immersion baseline (day -7), three intra-exposure time points (days 7, 14 and 21) and a recovery time point one week after the end of exposure (day 28). CD3+ T cells were isolated and analysed by RNA-seq, with differential expression assessed per volunteer and KEGG pathway enrichment used to identify the most affected gene networks. SMG was associated with transcript-level changes in genes mapping to key molecular pathways, including those involved in cell proliferation, cell-cycle regulation, maintenance of genome integrity, and oncogenic and tumour-suppressor networks. Hub genes shared across the most significant pathways were differentially expressed in the majority of volunteers. A notable finding was pronounced inter-individual heterogeneity: samples clustered primarily by volunteer identity, yet a coordinated temporal shift during exposure and a partial return toward baseline by day 28 were detectable across donors, and these changes occurred in the absence of detectable systemic inflammation. These results indicate that SMG is associated with altered T cell transcriptional programs in vivo and that the response is sufficiently variable between individuals to favor personalized rather than uniform countermeasure strategies.

Authors

Institutions

Publication Details

Journal
bioRxiv (Cold Spring Harbor Laboratory)
Published
2026-11-05
DOI
https://doi.org/10.64898/2026.11.01.763488
Primary Topic
Spaceflight effects on biology
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
preprint

T cell transcriptomes in simulated microgravity in vivo

Nik Kuznetsov
bioRxiv (Cold Spring Harbor Laboratory)
Spaceflight effects on biology
preprint

T cell transcriptomes in simulated microgravity in vivo

Nik Kuznetsov
preprint en

Abstract

Spaceflight exposes astronauts to a combination of stressors, among which microgravity remains the least well characterized at the level of human immune cell function. We examined the in vivo effect of long-term simulated microgravity (SMG) on T cell transcriptomes in ten healthy male volunteers who completed a three-week dry immersion protocol without countermeasures. Peripheral blood was collected at five time points covering a pre-immersion baseline (day -7), three intra-exposure time points (days 7, 14 and 21) and a recovery time point one week after the end of exposure (day 28). CD3+ T cells were isolated and analysed by RNA-seq, with differential expression assessed per volunteer and KEGG pathway enrichment used to identify the most affected gene networks. SMG was associated with transcript-level changes in genes mapping to key molecular pathways, including those involved in cell proliferation, cell-cycle regulation, maintenance of genome integrity, and oncogenic and tumour-suppressor networks. Hub genes shared across the most significant pathways were differentially expressed in the majority of volunteers. A notable finding was pronounced inter-individual heterogeneity: samples clustered primarily by volunteer identity, yet a coordinated temporal shift during exposure and a partial return toward baseline by day 28 were detectable across donors, and these changes occurred in the absence of detectable systemic inflammation. These results indicate that SMG is associated with altered T cell transcriptional programs in vivo and that the response is sufficiently variable between individuals to favor personalized rather than uniform countermeasure strategies.

bioRxiv (Cold Spring Harbor Laboratory)
Karolinska Institutet (SE)
Spaceflight effects on biology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon