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Investigating the Sex‐Based Differences in Lung Inflammation in an Obesity Model of Early Sepsis

2018· article· en· W3175091783 on OpenAlexaff
Ashfaqul Azraf, Simon Galkin, Dhruva J. Dwivedi, Momina Khan, Alison Fox‐Robichaud

Bibliographic record

VenueThe FASEB Journal · 2018
Typearticle
Languageen
FieldMedicine
TopicSepsis Diagnosis and Treatment
Canadian institutionsThrombosis and Atherosclerosis Research InstituteMcMaster UniversityHamilton Health Sciences
Fundersnot available
KeywordsSepsisMedicineLungGlycemicInflammationInternal medicineGastroenterologyInsulin

Abstract

fetched live from OpenAlex

Background Sepsis is a life‐threatening response to infection and the most common organ to fail is the lung. There is clinical data to support that obese individuals with sepsis may have a survival advantage. We have previously shown that male obese mice have reduced lung injury during early sepsis. There are sex differences in the response to sepsis with women generally having better outcomes. The objective of this study was to determine if obese female mice were also protected from sepsis‐induced lung inflammation. Methods 5 week old female C57BL/6 mice, housed in static cages, were randomized to either a high fat Western diet (HFD) (n=12) (Modified Breslow Dyets510151) or normal chow diet (NCD) (n=14) for 15 weeks. Diet restriction to 70% of normal intake was introduced gradually after 6 weeks of ad lib access to control the weight gain of the NCD group. Glycemic control was compared between groups at 14 weeks by a glucose tolerance test where mice were fasted for 6 hours then given 2 g/kg of 20% glucose solution IP follow by glucose measurements at 15, 30, 60 and 120 minutes. At 20 weeks of age sepsis was induced by cecal ligation and puncture with a single 18 ga puncture. All mice received 2 mls of Ringer's lactate subcutaneously prior to surgery and 500 ml immediately post‐surgery and 4 hours later. Animals were euthanized at 6 hrs and tissues and blood collected. Airway inflammation was assessed by quantifying lung myeloperoxidase activity in snap‐frozen lung tissue. Results Female mice fed the HFD diet gained significantly more weight (31.9 ± 1.9 (SE) g compared to 20.9 ± 0.8 g) and had larger livers (1.8 ± 0.2 g vs 0.8 ± 0.04g) compared to the NCD mice. HFD female also had higher glucose levels (peak 24.8 ± 1.8 mmol/l) compared to NCD (peak 16.6 ± 1.6 mmol/l) following a glucose challenge. WBC counts of HFD (1.1 ± 0.1 ×10 9 /l) and NCD (1.1 ± 0.1 ×10 9 /l) septic mice were significantly lower the sham operated mice (HFD 2.7 ± 0.2 ×10 9 /l vs NCD 2.0 ± 0.2 ×10 9 /l). In contrast to our previous findings in septic male mice, there were no significant differences observed in lung myeloperoxidase levels between the HFD and NCD female mice (24.1 ± 2.0 U/mg tissue compared to 27.6 ± 1.6 U/mg tissue). Conclusions In female mice fed a HFD weight gain is associated with glucose intolerance. In contrast to our published work in male mice, female obese mice gain significantly less weight and have smaller livers than their male counterparts. Importantly, obesity conferred no protection from early sepsis‐induced lung inflammation compared to NCD fed septic female mice. Support or Funding Information Funded from an internal funds administered by the Department of Medicine This abstract is from the Experimental Biology 2018 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 score0.003
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0030.001

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 head0.109
GPT teacher head0.328
Teacher spread0.219 · 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
Published2018
Admission routes1
Has abstractyes

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