Evidence map›Paper›PMID 42597500›Full record

ArticleFrontiers in network physiology2026

Monitoring and modulating interconnected physiological systems in space using portable closed-loop technologies.

Enrico De Martino, Peng Lyu, Ikram Brahim, Mehaboobathunnisa Sahul Hameed, Lars Arendt-Nielsen, Yacine Hadjiat

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. 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

6 authors.

Enrico De Martino *Center for Neuroplasticity and Pain (CNAP), Department of Health and Technology, Aalborg University, Aalborg, Denmark.
Peng Lyu *Dubai Health Innovations, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai, United Arab Emirates.
Ikram Brahim *Dubai Health Innovations, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai, United Arab Emirates.
Mehaboobathunnisa Sahul HameedDubai Health Innovations, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai, United Arab Emirates.
Lars Arendt-NielsenCenter for Neuroplasticity and Pain (CNAP), Department of Health and Technology, Aalborg University, Aalborg, Denmark.
Yacine HadjiatDubai Health Innovations, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai, United Arab Emirates.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human spaceflight exposes individuals to prolonged, multifactorial stressors, including microgravity, radiation, isolation, confinement, altered light-dark cycles, and operational demands, that affect biological, cognitive, psychological, behavioral, and social domains. These stressors may contribute to body deconditioning, dysregulated stress responses, sleep disruption, increased pain vulnerability, impaired cognition, mood disturbances, and interpersonal conflict. As human space exploration moves toward longer missions beyond low Earth orbit, effective countermeasures will require small, portable, autonomous, low-power technologies capable of continuously monitoring interconnected systems and delivering personalized interventions in real-time. In this perspective, we propose that the consequences of spaceflight are best understood through a network physiology framework, in which stress regulation, sleep, pain, cognition, mood, social interaction, and other physiological functions are viewed as dynamically coupled components of an integrated system. Within this framework, disturbances in one domain may propagate to other domains, reducing resilience and increasing vulnerability to multisystem dysfunction. We discuss how advances in multimodal wearable and habitat-integrated sensing, combined with AI-based analysis, enable continuous monitoring in space-relevant environments. Body-worn and ambient sensors can capture neural, autonomic, cardiovascular, thermal, and behavioral signals, enabling longitudinal assessment of system-level adaptation. Integrating these signals with AI-based analysis may help identify deviations from adaptive network states, derive markers of multisystem resilience, and guide personalized countermeasures. We further discuss the potential of AI-guided, closed-loop, non-pharmacological interventions to restore physiological balance and maintain performance during long-duration missions. Beyond spaceflight, this framework may also inform precision health approaches to multisystem dysfunction on Earth.

Indexed as

biopsychosocial painmultisystem dysregulationnetwork physiologyneuromodulationsleep disturbancespaceflight physiologystress regulationwearable sensors

Identifiers

PMID42597500
PMCPMC13467999

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.