Evidence map›Paper›PMID 42765390›Full record

ArticlePhysiological reports2026

Serum metabolomics signatures after an acute bout of combined traditional or high-intensity tactical training in young adults.

Zachary A Graham, Khyatiben V Pathak, Krystine Garcia-Mansfield, Kaleen M Lavin, Anakaren R Torres, Jeremy S McAdam, Timothy Broderick, Patrick Pirrotte, Marcas M Bamman

Abstract read
In one paragraph

Article in Physiological reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Zachary A GrahamHealthspan, Resilience and Performance, Florida Institute for Human and Machine Cognition, Pensacola, Florida, USA.ORCID https://orcid.org/0000-0002-6506-7025
Khyatiben V PathakEarly Detection and Prevention Division, Translational Genomics Institute, Phoenix, Arizona, USA.
Krystine Garcia-MansfieldEarly Detection and Prevention Division, Translational Genomics Institute, Phoenix, Arizona, USA.
Kaleen M LavinHealthspan, Resilience and Performance, Florida Institute for Human and Machine Cognition, Pensacola, Florida, USA.
Anakaren R TorresEarly Detection and Prevention Division, Translational Genomics Institute, Phoenix, Arizona, USA.
Jeremy S McAdamHealthspan, Resilience and Performance, Florida Institute for Human and Machine Cognition, Pensacola, Florida, USA.
Timothy BroderickHealthspan, Resilience and Performance, Florida Institute for Human and Machine Cognition, Pensacola, Florida, USA.
Patrick PirrotteEarly Detection and Prevention Division, Translational Genomics Institute, Phoenix, Arizona, USA.ORCID https://orcid.org/0000-0003-1360-6039
Marcas M BammanHealthspan, Resilience and Performance, Florida Institute for Human and Machine Cognition, Pensacola, Florida, USA.

Funding

Transgenic Mouse FacilityP30CA033572 · NCI · CITY OF HOPE/BECKMAN RESEARCH INSTITUTE · PI John Charles Williams · 1985 to 2026
$86.3M
HHS | National Institutes of Health (NIH) P30CA033572NCI NIH HHS P30 CA033572RRD VA IK2 RX002781U.S. Department of Defense (DOD) N000141613159U.S. Department of Veterans Affairs (VA) IK2RX002781
6 · The paper itself

Abstract

Alternative exercise prescriptions and doses would be expected to result in distinct signatures due to differences in duration and intensity. We tested two novel combined endurance and resistance exercise regimens to understand how differing prescriptions alter the timecourse of metabolomics response. Serum metabolomics for n = 37 untrained individuals was completed following traditional combined exercise [TRAD; n = 20 (11M/9F)] or high-intensity tactical training [HITT; n = 17 (8M/9F)] before (pre), and immediately (h0), 3 and 24 h post-exercise (h3 and h24, respectively). We found minimal metabolites had a group by time interaction (4 with FDR-adjusted q values <0.10; 9 with nominal p < 0.01), but both stimuli resulted in large-scale within-group changes to the circulating metabolome. TRAD had greater numbers of differentially abundant metabolites (FDR <0.10) compared to HITT at h0 (451 vs. 358), h3 (446 vs. 348) and h24 (183 vs. 86). The metabolite classes altered were related to key energy substrates for both groups at h0 and energy replenishment for h3 and h24. In summary, our data describe the acute changes in the circulating metabolome following combined endurance and resistance exercise. Additionally, we show the two distinct doses of combined exercise led to generally similar patterns of responses.

Indexed as

MetabolomePhysical EnduranceResistance TrainingAdultFemaleHumansMaleMetabolomicsPost-Exercise RecoveryYoung Adultcombined trainingexercisehigh‐intensitymetabolomics

Identifiers

PMID42765390
PMCPMC13591551

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.