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Protective roles of autophagy in sepsis‐induced skeletal muscle dysfunction, metabolic derangements and mortality

2019· article· en· W3173932728 on OpenAlexafffundabout
Jean‐Philippe Leduc‐Gaudet, Kayla Míguez, Julie Faitg, Olivier Reynaud, Dominique Mayaki, Laurent Huck, Gilles Gouspillou, Sabah N. A. Hussain

Bibliographic record

VenueThe FASEB Journal · 2019
Typearticle
Languageen
FieldMedicine
TopicAutophagy in Disease and Therapy
Canadian institutionsMcGill UniversityChristie (Canada)Université du Québec à Montréal
FundersCanadian Institutes of Health Research
KeywordsSepsisAutophagySkeletal muscleEndocrinologyMedicineInternal medicineBiologyApoptosisBiochemistry

Abstract

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Rationale Sepsis‐induced skeletal muscle dysfunction contributes to physical disability, and increased mortality in intensive care unit patients. Autophagy is a catabolic process by which cells degrade their own components. Recent studies indicate that sepsis triggers sustained induction of autophagy in skeletal muscles; however, the impact of autophagy on sepsis‐induced contractile and metabolic dysfunctions remains unclear. In this study, we evaluated the functional importance of autophagy in sepsis‐induced skeletal muscle dysfunction. Methods Selective inhibition of autophagy in skeletal muscles was accomplished by cross breeding floxed Atg7 mice ( Atg7 f/f ) with those expressing HSA‐Cre‐ER T2 . Cre induction was achieved by feeding Tamoxifen. Control mice were Atg7 f/f ‐HSA‐Cre‐ER T2 without Tamoxifen feeding. Sepsis was induced by the cecal ligation and perforation (CLP) procedure and animals were examined after 48 and 144 hours of sepsis. Animals undergoing sham procedure served as control. Results Deletion of Atg7 in skeletal muscle had a major impact on sepsis‐induced loss of body weight and muscle mass as indicated by worsening of body weight loss, more severe sepsis‐induced skeletal muscle atrophy and further decline in muscle contractility in mice with Atg7 deletions vs. those with intact Atg7 undergoing sepsis for 48 hours. In additions, body weight loss, hypoglycaemia and mortality were more severe over a 144 hours period in mice with Atg7 deletion as compared to those with intact Atg7 . These results suggest that induction of autophagy in septic skeletal muscles play a protective role against sepsis‐induced mortality. Furthermore, sepsis had no major effect on limb muscle mitochondrial respiration in animals with intact muscle Atg7 while those with deleted muscle Atg7 showed significant impairments of limb muscle mitochondrial respiration both in the sham and septic conditions. Finally, significant upregulation of ubiquitin E3 ligases (Atrogin‐1 and MuRF1) was observed in septic muscles. Deletion of muscle Atg7 had no effect on this response when measured after 48 hours of sepsis. Conclusion We conclude that autophagy plays a protective role by preserving muscle mitochondrial quality and function and that autophagy inhibition in skeletal muscles worsens sepsis‐induced loss of body weight and muscle atrophy possibly due to exaggerated responses to catabolic stimuli triggered by sepsis. Our results also indicate that autophagy in septic skeletal muscles play a protective role against sepsis‐induced metabolic derangements and mortality. Support or Funding Information This study is funded by grants from the Canadian Institutes of Health Research. Gilles Gouspillou salary support is provided by a FQRS Chercheur Boursier Junior 1 Award . Jean‐Philippe Leduc‐Gaudet is supported by CIHR Vanier Doctoral Scholarship. 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 score0.001
Threshold uncertainty score0.003

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)0.0010.000

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 head0.018
GPT teacher head0.284
Teacher spread0.266 · 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
Published2019
Admission routes3
Has abstractyes

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