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8 and 16 weeks of Chronic Tobacco Smoke Exposure Negatively Impacts Peripheral Motor Axon and Neuromuscular Junction Morphology in the Diaphragm of Mice

2018· article· en· W3175038201 on OpenAlexafffundabout
Alexander John Willms, Kayla Míguez, Jean‐Phillipe Leduc‐Gaudet, Carolyn J. Baglole, Sabah N. A. Hussain, Russell T. Hepple

Bibliographic record

VenueThe FASEB Journal · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMuscle Physiology and Disorders
Canadian institutionsMcGill University
FundersCanadian Institutes of Health ResearchGovernment of Canada
KeywordsDiaphragm (acoustics)MedicineNeuromuscular junctionDenervationAxonDiaphragm muscleSkeletal musclePlantaris muscleInternal medicineSarcopeniaPathologyEndocrinologyAnatomyPhysiologyRespiratory systemBiologySoleus muscleNeuroscience

Abstract

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Introduction Globally, chronic tobacco smoke (TS) exposure is the leading cause of preventable disease, and is the primary risk factor for the development of the top three causes of death: chronic obstructive pulmonary disease (COPD), cardiovascular disease, and cancer. Importantly, TS‐related diseases are accompanied by similar skeletal muscle abnormalities, which contribute to poor outcomes and prognosis. Recent findings have implicated TS‐induced denervation in TS‐related locomotor muscle abnormalities. Given the important physiological role of the diaphragm, and that muscle abnormalities in tobacco smokers and people with TS‐related diseases manifest differently in the diaphragm than in locomotor muscle, the objective of this study was threefold: (1) to further assess the impact of TS exposure on the diaphragm; (2) to resolve whether the TS‐induced neuromuscular junction (NMJ) impact observed in locomotor muscle also occurs in the diaphragm; and (3) to investigate the progressive impact of TS exposure on morphological features of the motor axon and NMJ. Methods 15‐wk‐old male C57Bl/6 wild‐type mice were randomly assigned to an 8‐ or 16‐wk period of either TS or control air exposure. Body mass was weighed at the beginning and end of the exposure periods. Immediately following sacrifice, epididymal fat, spleen, and liver were harvested and weighed in mice undergoing 16‐wk exposures. Diaphragm, gastrocnemius, plantaris, soleus, TA, and EDL muscles were harvested and weighed immediately following sacrifice in all mice. The diaphragm was used to analyze the morphology of motor axons and NMJs using immunofluorescent staining and confocal microscope imaging. Results 8 and 16 weeks of TS exposure attenuated body growth (p < 0.0005). Furthermore, 8 weeks (p < 0.0001), but not 16 weeks, of TS exposure reduced muscle mass normalized to their respective controls in all muscles harvested. In the diaphragm, 8 and 16 weeks of TS exposure increased the fraction of NMJs lacking axonal input (p < 0.05) or pre‐synaptic nerve terminal structures (p < 0.005), the latter identified as denervated structures. Pre‐synaptic axon diameter was reduced following 16 (p < 0.05), but not 8, weeks of TS exposure. 8 and 16 weeks of TS exposure led to reduced compactness of AChR structures (p < 0.005), in the absence of AChR fragmentation. Conclusions Chronic TS exposure leads to reduced muscle mass of 8‐week TS‐exposed mice, as well as abnormal morphology of diaphragm motor axons and NMJs in 8‐ and 16‐wk TS‐exposed mice. Increased exposure length resulted in an exacerbation of the impact of TS on reduced pre‐synaptic axon growth and AChR compactness in 16‐wk versus 8‐wk TS exposed mice. These findings illustrate that chronic TS exposure results in specific morphological abnormalities in motor axons and NMJs in the diaphragm muscle. Support or Funding Information Gouvernement du Canada | Canadian Institutes of Health Research (Instituts de recherche en santé du Canada): Russell T. Hepple, 119583 This abstract is from the Experimental Biology 2018 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .

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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)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.002
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 head0.010
GPT teacher head0.236
Teacher spread0.226 · 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
Published2018
Admission routes3
Has abstractyes

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