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Acute blood glucose and vascular endothelial responses to passive heating in individuals with type 2 diabetes

2020· article· en· W3016991266 on OpenAlexaffabout
Parya Behzadi, Hugo Gravel, Nicholas Ravanelli, Daniel Gagnon

Bibliographic record

VenueThe FASEB Journal · 2020
Typearticle
Languageen
FieldMedicine
TopicThermoregulation and physiological responses
Canadian institutionsUniversité de MontréalMontreal Heart Institute
Fundersnot available
KeywordsMedicineBrachial arteryInternal medicineDiabetes mellitusType 2 diabetesType 2 Diabetes MellitusEndothelial dysfunctionEndocrinologyBlood pressurePopulationInsulinHeart rateCardiology

Abstract

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Introduction Insulin resistance and hyperglycemia predispose individuals with type 2 diabetes mellitus (T2DM) to endothelial dysfunction and a greater risk of cardiovascular diseases. Numerous animal studies suggest that heat exposure improves glucose control and human studies suggest that it improves markers of vascular health. However, the physiological responses to heat exposure remain understudied in individuals with T2DM, particularly within a therapeutic context. Objective To characterize blood glucose and vascular endothelial responses to heat exposure in T2DM and determine if heating acutely improves glucose control and endothelial function in this population. Methods On separate randomized days, six adults (2 males/4 females, 60 ± 12 years) with T2DM (≥1 year, HbA1c: 7.0 ± 0.5%, fasting glucose: 7.79 ± 1.13 mmol/L) were immersed in control (34°C, 90 minutes) or hot (40–41°C, core temperature ≥38.5°C for 60 minutes) water. Participants were fasted (12 hours) and withheld anti‐diabetic medication (≥24 hours). Blood glucose and insulin as well as brachial artery shear rates were measured at baseline, during immersion and 45–60 minutes after immersion. Brachial artery flow‐mediated dilation (FMD) was measured at baseline and 45 minutes after immersion. Blood glucose control was evaluated during an oral glucose tolerance test (OGTT, 75 g) 60 minutes after immersion. Core (T core , rectal) and mean skin (T skin ) temperatures, heart rate (HR), systolic (SBP) and diastolic (DBP) blood pressures were measured throughout the protocol. Results Compared to control, hot water immersion increased T core (+1.44°C [1.05, 1.83], P<0.01), T skin (+2.36°C [1.21, 3.51], P<0.01), HR (+35 bpm [26, 43], P<0.01), and decreased DBP (−7 mmHg [−2, −13], P<0.01) and SBP (−9 mmHg [−1, −16], P=0.03). Hot water immersion increased antegrade (+71 s −1 [35, 107], P<0.01) and decreased retrograde (−15 s −1 [0.9, 3], P=0.06) shear rates. Nonetheless, FMD was unchanged during both control (−0.74% [−4.33, 2.86], P=0.81) and hot (−1.93% [−5.53, 1.66], P=0.30) water immersion. Blood glucose decreased progressively throughout the control protocol (−1.3 mmol/L [−0.8, −1.9], P<0.01), whereas hot water immersion attenuated this decrease (+0.1 mmol/L [−0.5, +0.6], P=0.93). Hot water immersion did not alter glucose (P=0.17) and insulin (P=0.99) area under the curve during the OGTT. Conclusion These preliminary results suggest that the physiological responses associated with heat exposure do not translate into acute improvements in blood glucose control or brachial artery endothelial function in individuals with T2DM. Support or Funding Information Cardiometabolic Health, Diabetes and Obesity Research Network and Diabetes Quebec.

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)0.000
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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0020.000

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 head0.023
GPT teacher head0.271
Teacher spread0.248 · 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".

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Citations1
Published2020
Admission routes2
Has abstractyes

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