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Record W2808486490

Novel insights into potential mechanisms by which bariatric surgery reduces cardiovascular disease risk: Oral communication

2018· article· en· W2808486490 on OpenAlexaff
Safwaan Adam, Yifen Liu, Tarza Siah Mansur, Jan Hoong Ho, Shazli Azmi, Kirk Siddals, Shaishav Dhage, Rayaz A. Malik, Akheel A. Syed, Basil Ammori, Paul N. Durrington, Rachelle Donn, Handrean Soran

Bibliographic record

VenueResearch Explorer (The University of Manchester) · 2018
Typearticle
Languageen
FieldMedicine
TopicBariatric Surgery and Outcomes
Canadian institutionsLMC Diabetes & Endocrinology (Canada)
Fundersnot available
KeywordsMedicineDiseaseIntensive care medicineSurgeryInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

Background:Bariatric surgery (BS) reduces cardiovascular disease (CVD) in a weight-independent manner although the underlying mechanisms are not fully understood. Impaired high-density lipoprotein (HDL) function and systemic inflammation have been associated with CVD. HDL primarily protects against atherosclerosis by removing excess cholesterol from cells (reverse cholesterol transport [RCT]). RCT depends on HDL's capacity to accept cholesterol (cholesterol efflux capacity [CEC]) and active transport through the channels ATP-binding-cassette (ABC-) A1, G1 and scavenger receptor-B1 (SR-B1). Additionally, anti-inflammatory and anti-oxidative functions of HDL are mediated by paraoxonase-1. We studied the impact of BS on HDL function with a specific focus on RCT.Methods:37 patients undergoing bariatric surgery were prospectively assessed before surgery and then 12 months post-operatively. Markers of inflammation (Tumour Necrosis Factor- α [TNF-α]; C-reactive protein [CRP]), oxidative stress (myeloperoxidase mass and paraoxonase-1 activity) and CEC in vitro were measured in these patients. In addition, 12 participants had targeted gene expression (real-time quantitative PCR) of ABCA1, ABCG1, SRB1 and TNF-α in gluteal subcutaneous adipose tissue biopsy samples. To test for differences at the time-points, Wilcoxon matched-pair signed rank test was used.Results:Median HDL-C (1.18 to 1.4mmol/L;p<0.005), CEC (11.5 to 14.4%;p<0.005) and paraoxonase-1 activity (77 to 87nmol/ml/min;p<0.005) increased from baseline to 12 months post-surgically. Contrarily, median CRP (6.52 to 1.1mg/L;p<0.005), TNF-α (14.5pg/mL to undetectable;p<0.005) and myeloperoxidase mass (973 to 756ng/mL;p<0.005) reduced from baseline to 12 months post-operatively. Adipose tissue gene expression of ABCA1 (fold-change 1.34;p=0.05) and ABCG1 (fold-change, 2.24;p=0.005) were augmented whereas TNF-α (fold-change, 0.44;p=0.57) and SR-B1 (fold-change, 1.12;p=0.6) did not change significantly.Conclusions:Bariatric surgery results in an improvement in HDL function and reduction in both inflammation and oxidative stress. These findings potentially provide a novel insight into how the previously observed weight-independent reduction in CVD occurs after BS. This is the first study to comprehensively study RCT by analysing both HDL's CEC and the channels involved in active cholesterol transport. The findings of this study may allow for other interventions that improve RCT in a multi-faceted approach as previous drug interventional trials have predominantly focused only on increasing HDL-C cargo (and therefore possibly CEC) without considering active transport channels.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.043
Threshold uncertainty score0.144

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0430.005

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 head0.055
GPT teacher head0.273
Teacher spread0.218 · 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 designNot applicable
Domainnot available
GenreCommentary

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
Published2018
Admission routes1
Has abstractyes

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