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Sympathetic decentralization after spinal cord injury spares Zucker Diabetic Fatty rats from frank diabetes

2017· article· en· W4389024167 on OpenAlexafffundabout
Malihe‐Sadat Poormasjedi‐Meibod

Bibliographic record

VenueThe FASEB Journal · 2017
Typearticle
Languageen
FieldMedicine
TopicHeart Rate Variability and Autonomic Control
Canadian institutionsInternational Collaboration On Repair DiscoveriesUniversity of British Columbia
FundersMichael Smith Health Research BC
KeywordsInsulin resistanceInternal medicineMedicineEndocrinologyMetabolic syndromeDyslipidemiaType 2 diabetesDiabetes mellitusSpinal cord injuryInsulinSpinal cord

Abstract

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Introduction Metabolic syndrome, characterized by the constellation of visceral obesity, atherogenic dyslipidemia, proinflammatory state, hypertension, and insulin resistance, confers a 5‐fold increase in the risk of type 2 diabetes (T2D). Accumulating data from human and animal studies revealed a strong association between sympathetic nervous system (SNS) activation and different components of metabolic syndrome, such as obesity, hypertension, and insulin resistance. However, it is not clear whether sympathoexcitation is a cause or result of metabolic syndrome and the subsequent T2D. Here we used high thoracic spinal cord injury (SCI) as an effective means for SNS decentralization in order to investigate the potential role of the SNS in the pathogenesis of T2D in an animal model of metabolic syndrome. Method/Design Eighteen male Zucker Diabetic Fatty rats (ZDF‐Lepr fa/fa , Metabolic syndrome/T2D animal model) were evenly assigned to two groups: uninjured (Fatty‐Sham), and T3 complete SCI (Fatty‐SCI). Lean Zucker Diabetic Fatty rats (ZDF‐Lepr + , n = 9) acted as controls. T2D development was evaluated using biweekly random blood glucose measurements and oral glucose tolerance test (OGTT) at week 11 post‐injury. Twelve weeks post‐injury, animals were euthanized and blood samples and pancreas tissue were collected for further analyses. Results We found that SCI‐induced SNS decentralization, manifested by a dramatic decline in plasma norepinephrine (P = 0.011), was accompanied by improved glucose tolerance, i.e. decreased glucose area under the curve (AUC, P = 0.001), increased fasting insulin (1.00 ± 0.33 vs. 3.02 ± 1.5 ng/ml, p = 0.011), and augmented insulin response after an OGTT, i.e. increased insulin AUC (P = 0.001) in the Fatty‐SCI group compared to uninjured Fatty‐Sham group. Although Fatty‐Sham and Fatty‐SCI groups exhibited a comparable degree of insulin resistance, Fatty‐SCI had significantly higher β‐cell activity indicated by a significant increase in homeostatic model assessment‐%B (HOMA‐%B) index (P = 0.0064). Pancreatic gene expression analysis revealed that SCI caused a significant reduction in the local expression of inflammatory mediators, i.e. IL‐1β and TNF‐α, which are critical for inhibition of insulin secretion, and induction of β‐cell apoptosis and dysfunction. While SNS decentralization spared the Fatty‐SCI rats from frank diabetes, Fatty‐SCI and Fatty‐Sham rats both exhibited other components of metabolic syndrome, including abdominal obesity and dyslipidemia, as compared to lean rats. Support or Funding Information This work has been supported by Michael Smith Foundation for Health Research, Craig H. Neilsen Foundation, Heart and Stroke Foundation of Canada, and the International Collaboration on Repair Discoveries.

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 score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.020
GPT teacher head0.282
Teacher spread0.262 · 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".

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Citations0
Published2017
Admission routes3
Has abstractyes

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