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Impaired Sympathetic Neural Recruitment During Skeletal Muscle Metaboreflex Activation in Women with Posttraumatic Stress Disorder

2022· article· en· W4225402031 on OpenAlexaff
Andrew W. D’Souza, Jeung‐Ki Yoo, Ryosuke Takeda, Kazumasa Manabe, Mark B. Badrov, Rosemary Parker, Elizabeth Anderson, Jessica I. Wiblin, Carol S. North, Alina Surís, J. Kevin Shoemaker, Qi Fu

Bibliographic record

VenueThe FASEB Journal · 2022
Typearticle
Languageen
FieldMedicine
TopicHeart Rate Variability and Autonomic Control
Canadian institutionsWestern University
Fundersnot available
KeywordsIsometric exerciseMicroneurographyMedicineInternal medicineHeart rateCardiologyBlood pressureBaroreflex

Abstract

fetched live from OpenAlex

Posttraumatic stress disorder (PTSD) is a debilitating psychiatric disorder that is more prevalent in women than men and has been linked to an elevated risk of developing cardiovascular disease. Although the physiological mechanisms are unclear, it is thought that exaggerated neuro‐cardiovascular reactivity is partially responsible. Indeed, women with PTSD demonstrate exaggerated muscle sympathetic nerve activity (MSNA) responses at the onset of exercise. However, it is unknown whether PTSD modifies the underlying sympathetic action potentials (AP) coding patterns that comprise the integrated MSNA signal during fatiguing exercise in women. We therefore hypothesized that women with PTSD will exhibit exaggerated MSNA and AP recruitment compared to women without PTSD during fatiguing handgrip exercise. MSNA and AP discharge patterns (via microneurography and a continuous wavelet transform) were assessed in eleven women with PTSD (43±11 [SD] years) and thirteen women without PTSD (Controls; 40±8 years) during isometric handgrip exercise (IHG) to fatigue at 40% of maximal voluntary contraction (MVC) force, followed by 2 minutes of post‐exercise circulatory occlusion (PECO), and three minutes of recovery. The IHG time was divided equally into five stages. IHG duration ( P =0.867) and MVC ( P =0.226) were similar between both groups. PTSD did not modify the increase in MSNA and AP frequency or incidence during IHG and PECO (all group‐by‐stage interactions: P= 0.294‐0.380). Conversely, throughout IHG and PECO, AP content per burst was greater in the Controls compared to women with PTSD (main effect of group: P =0.026). Furthermore, relative to Controls, women with PTSD were unable to increase the number of AP clusters per burst during the first (Controls: ∆1.3±1.2 vs. PTSD: ∆‐0.2±0.8 clusters/burst; P =0.016) and last minute (Controls: ∆1.2±1.1 vs. PTSD: ∆‐0.1±0.8 clusters/burst; P =0.022) of PECO, and recruited fewer subpopulations of previously silent axons during the first (Controls: ∆5±4 vs. PTSD: ∆1±2 clusters; P =0.020) and last minute (Controls: ∆4±2 vs. PTSD: ∆1±2 clusters; P =0.021) of PECO. Lastly, although an interaction effect was observed for the AP cluster size‐latency relationship during IHG and PECO ( P =0.042), post‐hoc analyses revealed that PTSD did not modify this relationship (all P =0.658‐0.999). These data indicate that the central features of sympathetic outflow are impaired in women with PTSD during skeletal muscle metaboreflex activation.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.028
GPT teacher head0.266
Teacher spread0.239 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2022
Admission routes1
Has abstractyes

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