MétaCan
Menu
Back to cohort
Record W4403427634 · doi:10.3168/jds.2024-25245

Caveolin 1 ameliorates nonesterified fatty acid–induced oxidative stress via the autophagy regulator beclin 1 in bovine mammary gland epithelial cells

2024· article· en· W4403427634 on OpenAlexfundno aff
Kai Liu, Yifei Dong, Liguang Cao, Guojin Li, Zifeng Yang, Jianchun Luo, Lin Lei, Xiliang Du, Yuxiang Song, Muhammad Usman, Juan J. Loor, Guowen Liu, Xinwei Li, Wenwen Gao

Bibliographic record

VenueJournal of Dairy Science · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCaveolin-1 and cellular processes
Canadian institutionsnot available
FundersFaculty of Arts and Social Sciences, Carleton UniversityNational Natural Science Foundation of China
KeywordsRegulatorAutophagyOxidative stressMammary glandEndocrinologyInternal medicineCell biologyCaveolin 1ChemistryFatty acidBiologyBiochemistryMedicineApoptosisGene

Abstract

fetched live from OpenAlex

High blood concentrations of nonesterified fatty acids (NEFA) during ketosis enhance uptake by the mammary gland and impair autophagy while causing oxidative stress. Caveolin 1 (CAV1) is closely related to autophagy and plays a role in regulating oxidative stress. The aim of this study was to explore the potential role of CAV1 on oxidative stress and autophagy during a high-NEFA challenge in the immortalized bovine mammary epithelial cell line (MAC-T). Mammary gland tissue biopsies and blood samples were collected from healthy (n = 15) and clinically ketotic (n = 15) Holstein cows at 3 to 10 (average = 6) days in milk. Compared with healthy cows, ketotic cows had lower DMI, daily milk yield, and serum glucose, and greater serum NEFA and BHB, accompanied by greater milk fat and lower milk protein. Malondialdehyde (MDA) was greater, but activities of superoxide dismutase (SOD), catalase, and glutathione peroxidase were lower in cows with clinical ketosis. A lower protein abundance of CAV1, beclin 1, autophagy relative gene 5 (ATG5), and microtubule-associated protein 1 light chain 3 (LC3) as well as greater protein abundance of sequestosome-1 (SQSTM1, also called p62) were detected in mammary tissue of cows with clinical ketosis. In vitro, the MAC-T cells were treated with 0, 0.6, and 1.2 mM NEFA for 12 h or treated with 1.2 mM NEFA for various lengths of time (0, 0.5, 1, 2, 4, 8, 12, and 24 h). Compared with 0 mM NEFA, protein abundances of CAV1, beclin 1, ATG5, and LC3 were greater in the MAC-T challenged with 0.6 mM NEFA but lower in the 1.2 mM NEFA group. Protein abundance of p62 was lower with 0.6 mM NEFA but higher with 1.2 mM NEFA. In response to increasing doses of NEFA, mRNA abundance of CAV1, total antioxidant capacity and SOD activity decreased, whereas the levels of reactive oxygen species and MDA content increased. The protein abundances of CAV1 and beclin 1 peaked at 0.5 h, the protein abundances of ATG5 and LC3 peaked at 1 h, and these proteins start to fade away at later time points under NEFA treatment, resulting in both linear and quadratic effects. The protein abundance of p62 decreased, reaching a nadir at 4 h in both a linear and quadratic manner. The silencing of CAV1 in MAC-T cells aggravated the 1.2 mM NEFA-induced decrease in beclin 1 expression, impaired autophagy, and increased severe oxidative stress, whereas the overexpression of CAV1 alleviated these effects. Pretreatment of MAC-T cells with beclin 1 small interfering RNA (si-beclin 1) and the overexpression of CAV1, followed by challenge with 1.2 mM NEFA, resulted in reversed CAV1-induced autophagy, thereby aggravating oxidative stress. Overall, these data suggest that CAV1 protects bovine mammary epithelial cells from NEFA-induced oxidative stress through enhancing the expression of beclin 1 and activating autophagy.

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 score0.003
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.011
GPT teacher head0.257
Teacher spread0.246 · 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

Citations5
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Dairy ScienceSame topicCaveolin-1 and cellular processesFrench-language works237,207