Single-cell analysis identifies conserved features of immune dysfunction in simulated microgravity and spaceflight.
Fei WuHuixun DuEliah OverbeyJang-Keun KimPriya MakhijaniNicolas MartinChad A LernerKhiem NguyenJordan BaechleTaylor R ValentinoMatias FuentealbaJuliet M BartlesonHeather HalawehShawn WinerCem MeydanFrancine E Garrett-BakelmanNazish SayedSimon MelovMasafumi MurataniAkos A GerencserHerbert G KaslerAfshin BehestiChristopher E MasonDavid FurmanDaniel A WinerPublished in: Nature communications (2024)
Microgravity is associated with immunological dysfunction, though the mechanisms are poorly understood. Here, using single-cell analysis of human peripheral blood mononuclear cells (PBMCs) exposed to short term (25 hours) simulated microgravity, we characterize altered genes and pathways at basal and stimulated states with a Toll-like Receptor-7/8 agonist. We validate single-cell analysis by RNA sequencing and super-resolution microscopy, and against data from the Inspiration-4 (I4) mission, JAXA (Cell-Free Epigenome) mission, Twins study, and spleens from mice on the International Space Station. Overall, microgravity alters specific pathways for optimal immunity, including the cytoskeleton, interferon signaling, pyroptosis, temperature-shock, innate inflammation (e.g., Coronavirus pathogenesis pathway and IL-6 signaling), nuclear receptors, and sirtuin signaling. Microgravity directs monocyte inflammatory parameters, and impairs T cell and NK cell functionality. Using machine learning, we identify numerous compounds linking microgravity to immune cell transcription, and demonstrate that the flavonol, quercetin, can reverse most abnormal pathways. These results define immune cell alterations in microgravity, and provide opportunities for countermeasures to maintain normal immunity in space.
Keyphrases
- single cell
- toll like receptor
- rna seq
- oxidative stress
- cell free
- high throughput
- immune response
- endothelial cells
- genome wide
- transcription factor
- dna methylation
- sars cov
- nk cells
- optical coherence tomography
- type diabetes
- gene expression
- adipose tissue
- electronic health record
- deep learning
- respiratory syndrome coronavirus
- insulin resistance
- genome wide identification
- data analysis
- gestational age
- wild type