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Microvascular Blood Flow Response to Hyperinsulinemia in Type 2 Diabetic Rats

2019· article· en· W3176303525 on OpenAlexafffundabout
Hamza Shogan, Gaylene M. Russell McEvoy, Graham Fraser

Bibliographic record

VenueThe FASEB Journal · 2019
Typearticle
Languageen
FieldMedicine
TopicHeart Rate Variability and Autonomic Control
Canadian institutionsMemorial University of Newfoundland
FundersMemorial University of Newfoundland
KeywordsMedicineMicrocirculationHyperinsulinemiaInternal medicineBlood flowEndocrinologyInsulinSkeletal muscleDiabetes mellitusAnesthesiaInsulin resistance

Abstract

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Objective Chronic hyperglycemia is a defining feature of type 2 diabetes (T2D) that has been implicated in impaired microvascular structure and function. We aim to quantify the effect of hyperglycemia on local hemodynamic changes and spatial redistribution of blood flow in skeletal muscle capillary networks in response to hyperinsulinemia in an animal model of T2D. Methods Four 12‐week‐old Zucker Diabetic Fatty (ZDF) rats (2 lean, 2 obese) were fed a high fat diet (Purina 5008), acclimatized in animal quarters, and randomly selected on the day of experiment. Animals were anesthetized with sodium pentobarbital; cannulas were placed into the left common carotid and right jugular vein for systemic monitoring, anaesthetic administration and fluid resuscitation; animals were then tracheotomized and mechanically ventilated. Animals were maintained at 37□for the duration of the experiment and data collection. The right Extensor Digitorum Longus (EDL), a muscle of the lower‐hind limb, was isolated, and the distal tendon was cut to reflect the belly of the muscle over the objective of an Olympus IX‐73 microscope. Intravital videos of the microcirculation were recorded in 4–6 microscopic fields at multiple focal planes to capture blood flow in discrete capillary networks during baseline conditions. Euglycemia was achieved through intravenous infusion of insulin (2000 mU/kg/hr) and glucose (500 mg/kg/hr) until 3 stable blood glucose readings between 5 – 7 mM were made. Euglycemia was maintained while recordings were repeated in the same microscopic fields acquired during baseline. Results Resting blood glucose concentrations were 6.9 ± 0.4 mM for lean and 17.9 ± 1.2 mM for obese animals. At euglycemia, lean animals were brought to blood glucose levels of 6.3 ± 0.1 mM and obese to 6.2 ± 0.9 mM; mean glucose infusion rates were 28.9 ± 2.9 mg/kg/min for lean and 1.8 ± 2.1 mg/kg/min for obese animals. At baseline, mean capillary red blood cell (RBC) velocities were 233.0 ± 28.9 vs. 263.1 ± 24.2, hematocrits were 19.9 ± 4.3 vs. 32.9 ± 4.8, and RBC supply rates were 15.9 ± 1.3 vs. 21.9 ± 1.4 in lean and obese animals respectively (n = 525 capillaries). During hyperglycemia lean animals showed an 33% increase in RBC supply rate while obese animals showed a 25% decrease (n = 357 capillaries). Conclusion Hyperglycemia in control animals caused a marked increase in RBC supply rate in skeletal muscle tissue which may be an adaptive mechanism to enhance glucose uptake. This capillary flow response appears to be impaired in obese ZDF animals that share many characteristics with human T2D. Support or Funding Information This project was supported by a Medical Research Fund grant to GM Fraser from the Faculty of Medicine, Memorial University of Newfoundland. This abstract is from the Experimental Biology 2019 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.009
GPT teacher head0.234
Teacher spread0.225 · 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 designBench or experimental
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

Citations0
Published2019
Admission routes3
Has abstractyes

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