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The Intracellular Cholesterol Pool in Steroidogenic Cells Plays a Role in Autophagy, Basal Steroidogenesis and Mitochondrial Dynamics

2022· article· en· W4225380098 on OpenAlexaff
Geetika Bassi, Suresh Mishra

Bibliographic record

VenueThe FASEB Journal · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicLipid metabolism and biosynthesis
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsCholesterol side-chain cleavage enzymeCell biologyIntracellularAutophagyPregnenoloneCholesterolMitochondrionLipid dropletSteroidogenic acute regulatory proteinBiologySteroid hormoneOxysterolHormoneChemistryEndocrinologyInternal medicineSteroidBiochemistryMetabolismApoptosisGene expression

Abstract

fetched live from OpenAlex

In steroidogenesis, cholesterol‐ the precursor substrate molecule for all steroid hormones is central and the framework of steroidogenesis across steroidogenic cells is constructed around it— including its cellular uptake, storage in intracellular lipid droplets, mobilization upon steroidogenic stimulation, and finally, its transport to the mitochondria where cholesterol is converted to pregnenolone by the P450 side chain cleavage enzyme. Thus, cholesterol and the mitochondria are highly interconnected in all steroidogenic cells. Moreover, accruing evidence suggests that autophagy and mitochondrial dynamics are important cellular events in the regulation of trophic hormone‐induced cholesterol homeostasis and steroidogenesis. However, a potential role of cholesterol in the regulation of steroidogenic events and factors remain unexplored. We tested the hypothesis that cholesterol plays a role in the regulation of cell‐intrinsic factors and events involving steroidogenesis. We used an intermediary approach to investigate the role of cholesterol in the regulation of steroidogenesis in different steroidogenic cell types such as MA‐10 cells (a murine Leydig cell line), BeWo cells (placental cell line) producing different steroid hormones. Steroidogenic cells were cultured in a lipoprotein‐depleted medium that leads to the depletion of the intracellular cholesterol pool and lipid droplets. Furthermore, cholesterol deprivation induced steroidogenic events. To get a snapshot of cholesterol deprived (CD)‐induced changes in lipid droplets, autophagy, and mitochondrial dynamics at an ultrastructural level we analyzed steroidogenic cells using transmission electron microscopy. As expected, cholesterol deprivation resulted in the depletion or loss of intracellular lipid droplets and the cholesterol pool across steroidogenic cell lines. Moreover, a difference in autophagy‐related structural changes was observed between cells cultured under the normal and CD conditions. In general, the structural characteristics of autophagy were more apparent in the CD group when compared with the normal control group across different steroidogenic cell types. Moreover, a change in mitochondrial shape was observed between the cells from two groups. For instance, the elongated or tubular mitochondria showing signs of mitochondrial dynamics (fusion or fission) were more common in the CD experimental group. Importantly, an increase in lysosome size and numbers were consistently found in cells under CD conditions which inversely correlated with the depletion of lipid droplets and the cholesterol pool, suggesting a compensatory increase in cholesterol mobilization. Taken together, this data suggests that cholesterol indeed plays a role in the regulation of autophagy and mitochondrial dynamics across steroidogenic cells in a context‐dependent manner. Such effects of cholesterol deprivation on autophagy and mitochondrial dynamics were not observed in the non‐steroidogenic cells such as HepG2 (human hepatoma cells) and H4IIE (rat hepatoma cells), indicating that cholesterol insufficiency‐induced changes in steroidogenic cells are specific to steroidogenesis. Thus, we unraveled this previously unknown role of cholesterol in steroidogenesis beyond being a mere substrate for steroid hormones. The implications of our findings are broad and offer new insights into trophic hormone‐dependent and independent steroidogenesis during development, as well as in health and disease.

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 score0.004

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 studies0.0010.000
Scholarly communication0.0010.000
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 head0.005
GPT teacher head0.194
Teacher spread0.189 · 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
Published2022
Admission routes1
Has abstractyes

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