Evidence map›Paper›PMID 42109464›Full record

ArticleFrontiers in network physiology2026

Network physiology in space: vision and perspectives on exploring physiological networks during spaceflight for the benefit of life on earth.

Nandu Goswami, Jerry Joseph Batzel, Yaopeng J X Ma, Per Morten Fredriksen, David Andrew Green, Plamen Ch Ivanov

Abstract read
In one paragraph

Article in Frontiers in network physiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Nandu GoswamiGravitational Physiology and Medicine Research Unit, Division of Physiology and Pathophysiology, Otto Loewi Research Center of Vascular Biology, Immunity and Inflammation, Medical University of Graz, Graz, Austria.
Jerry Joseph BatzelDepartment of Mathematics, University of Graz, Graz, Austria.
Yaopeng J X MaKeck Laboratory for Network Physiology, Department of Physics, Boston University, Boston, MA, United States.
Per Morten FredriksenFaculty of Social and Health Sciences, Department of Public Health and Sport Sciences, Section for Public Health, University of Inland Norway, Innlandet, Norway.
David Andrew GreenSpace Medicine Team, European Astronaut Centre, European Space Agency, Cologne, Germany.
Plamen Ch IvanovKeck Laboratory for Network Physiology, Department of Physics, Boston University, Boston, MA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Network Physiology provides a unifying framework for understanding how molecular, cellular, and organ-level systems integrate as a network to generate distinct physiological states and sustain human function. Spaceflight offers a unique environment-characterized by microgravity, radiation, isolation, and circadian disruption-that perturbs interconnected physiological systems and networks. Network Physiology in Space, an emerging area of research and clinical practice within the multidisciplinary field of Network Physiology, examines how multiscale interactions, from genomic and metabolic pathways to organ system dynamics, adapt and reorganize in response to spaceflight stressors to maintain homeostasis at the organism level. Using systems biology, multi-omics, nonlinear analyses of physiological systems dynamics, computational modeling, and AI-enhanced analysis, researchers have traditionally focused on individual systems to investigate regulatory mechanisms underpinning adaptations to spaceflight, including muscle and bone loss, cardio-vascular and cardio-respiratory deconditioning, immune function shifts, neuro-vestibular dysregulation, circadian, and sleep fragmentation. However, physiological systems and organs continuously interact across levels to synchronize dynamics and coordinate functions. Changes in a system in response to perturbations are often interlinked with other systems, leading to diversity of effects, which underscores the need for an integrative framework capable of linking molecular signals to system-level physiological function and crew functionality. In this context, Network Physiology provides a unifying theoretical and analytical approach to identify, quantify and model dynamic interactions among physiological systems across spatio-temporal scales, integrating multi-omics, physiological, and behavioral data into dynamical network representations. This systems-level perspective enables spaceflight-induced adaptations to be interpreted as coordinated reconfigurations of interacting physiological networks, rather than isolated responses of individual components. As many adaptations are common with disuse pathology, spaceflight becomes a living laboratory for probing frailty and resilience, revealing principles relevant to aging, metabolic and immune disorders, neurodegeneration, and rehabilitation on Earth. Recent methodological advances in inferring functional forms of coupling and causality in dynamic systems interactions, and novel integrative and adaptive network approaches in Network Physiology offer new perspectives to human and animal studies in space or analogue environments, for the development of translational applications to clinical practice and hybrid mechanistic-machine-learning models that simulate system-wide responses and guide personalized countermeasures strategies and personalized medicine.

Indexed as

artificial intelligence (AI)human physiolomemicrogravitymulti-omicsnetwork physiologyphysiological deconditioningspaceflightsystems biology

Identifiers

PMID42109464
PMCPMC13152824

What OpenQuestion holds

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LicenceCC BY
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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.