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Altered Skeletal Muscle Microtubule‐Mitochondrial Voltage Gated‐Dependent Anion Channel (VDAC) 2 Binding is Related to Bioenergetic Impairments after Paclitaxel but not Vinblastine Chemotherapies

2019· article· en· W3174026444 on OpenAlexaffabout
Sofhia V. Ramos, Meghan C. Hughes, Christopher G. R. Perry

Bibliographic record

VenueThe FASEB Journal · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMitochondrial Function and Pathology
Canadian institutionsYork University
FundersJames H. Cummings Foundation
KeywordsVoltage-dependent anion channelVinblastineBioenergeticsMitochondrionTubulinMitochondrial permeability transition poreCell biologyPaclitaxelMicrotubuleChemistryBiologyBiochemistryBiophysicsProgrammed cell deathApoptosisBacterial outer membrane

Abstract

fetched live from OpenAlex

Rationale Muscle weakness in response to chemotherapy is thought to be related to mitochondrial dysfunction. However, the underlying mechanisms by which chemotherapy alters mitochondrial bioenergetics remain unknown, but are likely unique to different types of these cytotoxic compounds. Taxanes (eg. Paclitaxel) and vinka alkaloids (eg. Vinblastine) prevent cancer cell mitosis by stabilizing and destabilizing microtubules, respectively. In mature muscle fibres (ie. non‐mitotic), microtubules are thought to regulate mitochondrial bioenergetics by directly binding the ADP/ATP exchanger voltage dependent anion channel (VDAC) on the outer mitochondrial membrane. As ADP simultaneously regulates oxidative phosphorylation and oxidant generation by modulation of membrane potential, we hypothesized that manipulating microtubule architecture with paclitaxel and vinblastine would alter tubulin‐VDAC interactions and influence ADP‐dependent respiration and H 2 O 2 emission. As VDAC is thought to be involved in the formation of the mitochondrial permeability transition pore (mPTP) under calcium stress, we also hypothesized that these compounds would alter mitochondrial calcium retention capacity (CRC) required for mPTP formation. Methods : Single muscle fibres and permeabilized fibre bundles were isolated from rat extensor digitorum longus muscles and incubated in paclitaxel (2hr) and vinblastine (1hr) at 4°C prior to assessing protein‐protein interactions (proximity ligation assay) and mitochondrial bioenergetics. Results Paclitaxel increased both a‐ ( p=0.01 ) and bII‐tubulin ( p=0.01 ) interactions with VDAC2 which was associated with a decreased ability of ADP to attenuate H 2 O 2 emission (main effect, p=0.0006 ) despite no effect on ADP‐stimulated respiration or CRC. In contrast, vinblastine had no effect on the amount of a‐ and bII‐tubulin interactions with VDAC but still increased ADP‐stimulated respiration (main effect, p= 0.006 ), decreased the ability of ADP to attenuate H 2 O 2 emission (main effect, p=0.002 ) and sensitized mPTP formation as demonstrated by reduced CRC ( p=0.04 ). Conclusion and Discussion The results demonstrate that both microtubule stabilizing and destabilizing chemotherapies cause diverse mitochondrial dysfunctions which may provide insight into their detrimental effects on muscle function. Collectively, these findings partially support the tubulin‐VDAC model of regulating mitochondrial bioenergetics but suggests that microtubule architecture may also regulate mitochondrial function in mature muscle fibres through additional mechanisms. Support or Funding Information Funding was provided to C.G.R.P. by National Science and Engineering Research Council (#436138‐2013) with infrastructure supported by Canada Foundation for Innovation, Ontario Research Fund and the James H. Cummings Foundation. S.V.R was supported by Ontario Graduate 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 score0.002
Threshold uncertainty score0.007

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)0.0020.000

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 head0.008
GPT teacher head0.228
Teacher spread0.220 · 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
Published2019
Admission routes2
Has abstractyes

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