MétaCan
Menu
← Back to cohort

Sex‐Related Differential Gene Expression Underlies Distinct Responses of Adipose Endothelial Cells Under A High‐Fat Diet

2021· article· en· W3166675701 on OpenAlexafffund
Alexandra Pislaru, Martina Rudnicki, Omid Rezvan, Tara L. Haas

Bibliographic record

VenueThe FASEB Journal · 2021
Typearticle
Languageen
FieldMedicine
TopicAdipokines, Inflammation, and Metabolic Diseases
Canadian institutionsYork University
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health Research
KeywordsAdipose tissueAngiogenesisBiologyEndocrinologyAdipocyteInternal medicineAdipose tissue macrophagesWhite adipose tissueGene expressionNeovascularizationEndothelial stem cellGeneMedicineGenetics

Abstract

fetched live from OpenAlex

Background Despite similar rates of obesity, the prevalence and severity of obesity‐related metabolic diseases is lower in females compared to males. This relates with better preserved function of the adipose tissue in females. Consistent with the importance of capillaries in maintaining tissue functions, insufficient vascularization in expanding adipose tissue leads to adipocyte dysfunction, inflammation and whole‐body metabolic disturbances. Previously, we reported that angiogenesis is higher in the perigonadal adipose tissue in female compared to male mice on a high‐fat diet, leading to a higher capillary density in female adipose. Endothelial cells line capillaries and coordinate different cellular processes involved in angiogenesis, allowing for the necessary vascular remodelling needed in adipose maintenance. We hypothesize that differential gene networks/pathways in the endothelial cells of females compared to males support the better angiogenic response in female adipose tissue. Methods Male and female (5‐7 weeks old; n=4/group) mice were fed a high‐fat diet (60% kcal fat) for 7 weeks. White adipose tissue was harvested and used for whole‐mount imaging and endothelial cell isolation. Adipose tissue was stained with lectin and imaged to determine the vascular density. RNA extracted from the isolated endothelial cells was analyzed by RNA‐sequencing. Transcripts were assessed for differentially expressed genes (DEGs). Gene ontologies and gene set enrichment analysis were used to identify patterns of gene expression. Results Adipose tissue showed greater vascularization in high fat ‐fed females with vascular areas 27.2 ± 2.2 and 21.0 ± 0.6 % field of view in females and males respectively. RNA‐sequencing led to identification of 1225 DEG between male and female endothelial cells (P<0.01). Ontology analyses of the DEGs showed that male endothelial cells expressed higher levels of genes enriched in inflammatory responses and immune processes including chemokine production, complement/coagulation and leukocyte adhesion. In contrast, female endothelial cells lacked an inflammatory signature. Instead, the genes that were higher in female endothelial cells were related to cellular dynamics, such as machinery regulating transcription, translation, DNA replication and axon guidance. Conclusion Adipose endothelial cells from male and female mice have a high number of DEGs that reflect differences in endothelial cell angiogenic phenotype as well as other unique profiles that may be relevant to adipose function. Upregulation of ontologies relating to cellular replication and protein synthesis in females supports the observation of a better angiogenic response in the female adipose tissue and implies that intrinsic differences in male and female endothelial cells contribute to this capacity.

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 score0.001
Threshold uncertainty score0.003

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)0.0010.000

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 head0.018
GPT teacher head0.256
Teacher spread0.238 · 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
Published2021
Admission routes2
Has abstractyes

Explore more

Same venueThe FASEB Journal→Same topicAdipokines, Inflammation, and Metabolic Diseases→French-language works237,207→