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Record W7029830659

Lingonberry (Vaccinium vitis-idaea L.) supplementation protects against chronic kidney disease and improves fatty liver

2022· dissertation· en· W7029830659 on OpenAlexaboutno aff

Bibliographic record

VenueMspace (University of Manitoba) · 2022
Typedissertation
Languageen
FieldMedicine
TopicChronic Kidney Disease and Diabetes
Canadian institutionsnot available
Fundersnot available
KeywordsLipotoxicityKidney diseaseLipid metabolismFatty liverNephronDyslipidemiaInflammationKidneySteatosis
DOInot available

Abstract

fetched live from OpenAlex

Chronic kidney disease (CKD) is the structural or functional loss of the kidney over time. Unless properly managed, it would progress to its final stage, end-stage renal disease (ESRD). Chronic low-grade inflammation caused by lipotoxicity is a central pathological mediator of nephron damage in obesity-related CKD. Non-alcoholic fatty liver disease (NAFLD) is an independent risk factor of CKD and a commonly observed complication in obese CKD patients. Impaired hepatic lipid metabolism is a hallmark of NAFLD. NAFLD triggers lipotoxicity and systemic inflammation, further aggravating the progression of CKD. Therefore, attenuation of nephron injury caused by lipotoxicity-triggered inflammation and reduction of dyslipidemia by improving fatty liver and hepatic lipid metabolism might be pertinent strategies in managing obesity-related CKD. Lingonberry (Vaccinium vitis-idaea L.) is an anthocyanin-rich berry with promising antioxidant, anti-inflammatory, and lipid-lowering properties. The general objective of this project was to investigate the effect of Manitoba wild lingonberry supplementation on high-fat diet (HFD) induced CKD and impaired hepatic lipid metabolism in C57BL/6J male mice. Supplementation of Manitoba wild lingonberry powder (5% w/w) significantly reduced HFD-induced kidney damage and renal inflammation. Further, pretreatment of renal proximal tubular cells (HK-2) with lingonberry extract significantly diminished palmitic acid-induced expression of inflammatory cytokines inhibiting nuclear factor kappa-light-chain-enhancer of activated B cells (NF-kB) signaling. Lingonberry supplementation improved fatty liver by reducing plasma and liver lipid levels, hepatic injury and inflammation, and strengthening hepatic antioxidant defense by restoring nuclear factor-erythroid factor 2-related factor 2 (Nrf2)/glutathione (GSH) signaling. Notch signaling has been identified as an important mediator of hepatic lipid metabolism and its activation is associated with NAFLD. Lingonberry attenuated HFD-induced expression of Notch1 and elevated genes related to fatty acid b-oxidation in the liver and hepatocytes (HepG2). Further, cyanidin-3-glucoside, an anthocyanin found in lingonberry, could be one of the potential bioactive compounds responsible for the observed reno- and hepatoprotective effects. Taken together, the results of this thesis suggest that regular consumption of lingonberry might be an effective alternative treatment option to prevent CKD and improve NAFLD in obese individuals.

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 score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0010.000

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 head0.009
GPT teacher head0.223
Teacher spread0.215 · 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
Published2022
Admission routes1
Has abstractyes

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