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Mice but not rats modulate liver mitochondrial machinery in chronic hypoxia

2020· article· en· W3016478016 on OpenAlexaffabout
Christian Arias Reyes, Vincent Joseph, Jorge Soliz

Bibliographic record

VenueThe FASEB Journal · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHigh Altitude and Hypoxia
Canadian institutionsInstitut universitaire de cardiologie et de pneumologie de Québec
Fundersnot available
KeywordsHypoxia (environmental)Oxidative phosphorylationMitochondrionMetabolismEffects of high altitude on humansHemoglobinBiologyRespirometerRespirationInternal medicineRespiratory systemHematocritBeta oxidationCellular respirationEndocrinologyChemistryOxygenBiochemistryMedicineAnatomy

Abstract

fetched live from OpenAlex

Mice (FVB) permanently living at high‐altitude have increased respiratory frequencies and sustained or increased metabolic rates. On the other hand, rats permanently living at high‐altitude (SD) have impaired respiratory control, high hematocrit and hemoglobin, signs of pulmonary hypertension, and reduced metabolism; all these considered to be detrimental. This is coincident with the fact that common rats are not found in natural high‐altitude environments. At sea level, we reported that mice, but nor rats, exposed to 21 days of hypoxia (12% O2) increase their metabolic rate (O 2 consumption and CO 2 production), similarly to other rodent species that are considered well adapted to high‐altitude. As mitochondria is the final user of O 2 in metabolism, we were interested in the role of mitochondria behind this divergence in physiological adjustments. We used saponin‐permeabilized samples of liver (most energy‐consuming organ in rodents), from male adult FVB mice and SD rats after exposure to hypoxia (12% O 2 , for 0, 1, 7 or 21 days), to measure the mitochondrial O 2 consumption rate (OCR) following the SUIT‐01 protocol in the high‐resolution respirometer O2K (OROBOROS instruments). OCR was measured with substrates activating the NADH, succinate , and fatty acid pathways of the electron transport chain (ETC). We also measured the maximum capacity of ETC by uncoupling the electron transport from the oxidative phosphorylation with CCCP. The level of activation of complexes I and II was reported as the OCR for the N or S pathway correspondingly, divided by the maximum capacity (flux control ratio). Our preliminary results show that, compared to rats, mice have significantly higher ETC maximum capacities in normoxia and hypoxia. Moreover, after 21 days of hypoxia, mice showed an increase of 43% in maximum capacity in comparison to normoxic controls, while no increase in maximum capacity was evidenced in rats. In mice, we observed that complex I is transiently hyperactivated after 1 day of hypoxia and then, its activity reduces down below control levels by day 21 of hypoxia. Contrastingly, complex II activity is reduced after one day of hypoxia, getting back to control levels by day 21 of hypoxia. Furthermore, in rats, an increased activity of complex I occurred after 21 days of hypoxia. Regardless of normoxic or hypoxic exposure, rats showed higher activation levels of complex II than mice. These results show that mice, but not rats, have the ability to modulate their liver metabolic mitochondrial machinery under chronic hypoxia. The higher and adjustable maximum capacity in mice, suggest a more powerful and plastic liver mitochondrial machinery than in rats. This might explain in part their ability to keep sustained metabolic rates under hypoxic conditions. Support or Funding Information Supported by NSERC, the Health Respiratory Network of Québec and CIHR.

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 score0.008

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 head0.017
GPT teacher head0.235
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".

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Citations0
Published2020
Admission routes2
Has abstractyes

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