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TNFα Induces Mitochondrial Fragmentation and Mitochondrial Biogenesis in Human Airway Smooth Muscle Cells

2017· article· en· W4389022056 on OpenAlexaff
Esha Kaul, Philippe Delmotte, Gary C. Sieck

Bibliographic record

VenueThe FASEB Journal · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMitochondrial Function and Pathology
Canadian institutionsMcGill University
FundersNational Institutes of Health
KeywordsMFN2Cell biologyMitochondrionmitochondrial fusionMitochondrial biogenesisMitochondrial fissionBiologyFragmentation (computing)ChemistryMitochondrial DNABiochemistry

Abstract

fetched live from OpenAlex

Airway inflammation is a key aspect of asthma and is associated with airway smooth muscle (ASM) hyperreactivity (airway narrowing due to increased Ca 2+ and force responses to agonist stimulation) as well as airway remodeling (ASM cell proliferation and altering extracellular matrix composition). Proinflammatory cytokines, such as TNF‐α mediate this airway inflammatory response. Previously, we found that the TNF‐α induces an increase ASM force, which is associated with an increase in ATP hydrolysis, imposing a metabolic stress on ASM. Mitochondria play an important role in providing ATP to support contraction in ASM. Mitochondria are dynamically remodelling within ASM cells displaying changing filamentous or fragmented tubular networks. Changing expression of Mitofusin 2 (Mfn2), which is associated with mitochondria fusion, or Dynamin Related Protein 1 (Drp1), which is associated with fission mediate this mitochondrial remodelling. The stressors that induce mitochondrial remodelling in ASM are unknown, but mitochondrial fragmentation may be an initial step in mitochondrial biogenesis to meet increasing energy demand. We hypothesized that human ASM (hASM) cells exposed to TNF‐α will display reduced Mfn2 and increased Drp1 expression resulting in mitochondrial fragmentation and mitochondrial biogenesis. To test our hypothesis, serum‐deprived primary hASM cells were exposed to 20 ng/ml TNF‐α for 24 h after which they were loaded with 500 μM MitoTracker Green to visualize mitochondria and imaged using confocal microscopy. Images were analyzed using MATLAB Image J software to quantify mitochondrial morphometry: form factor and aspect ratio. An increase in form factor and aspect ratio indicates greater mitochondrial filamentous networks. Expression of Mfn2 and Drp1 were determined by Western blot analysis. In hASM exposed to TNF‐α, Mfn2 expression decreased by ~40%, while Drp1 expression increased by ~75% compared to controls. These changes in fusion/fission proteins were associated with mitochondrial fragmentation (reduced form factor and aspect ratio) and an increase in mitochondria number. Our results indicate that hASM cells exposed to TNF‐α display mitochondrial fragmentation due to changes in Mfn2 and Drp1 expression. Mitochondrial fragmentation may be involved in mitochondrial biogenesis in response to increased metabolic demands imposed by airway hyperreactivity. Support or Funding Information APS fellowship (EK) and NIH grant HL126451 (GCS)

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 score0.002
Threshold uncertainty score0.006

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.019
GPT teacher head0.268
Teacher spread0.250 · 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
Published2017
Admission routes1
Has abstractyes

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