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Record W2339326859 · doi:10.18632/oncotarget.8608

Ergosterol peroxide activates Foxo3-mediated cell death signaling by inhibiting AKT and c-Myc in human hepatocellular carcinoma cells

2016· article· en· W2339326859 on OpenAlexaffabout
Xiangmin Li, Qingping Wu, Ming Bu, Liming Hu, William W. Du, Chunwei Jiao, Honghui Pan, Mouna Sdiri, Nan Wu, Yizhen Xie, Burton B. Yang

Bibliographic record

VenueOncotarget · 2016
Typearticle
Languageen
FieldMedicine
TopicFungal Biology and Applications
Canadian institutionsHealth Sciences CentreUniversity of TorontoSunnybrook Health Science Centre
Fundersnot available
KeywordsErgosterolChemistryMedicineTraditional medicineCancer researchBiochemistry

Abstract

fetched live from OpenAlex

// Xiangmin Li 1, 2, 3, * , Qingping Wu 1, * , Ming Bu 4, * , Liming Hu 4 , William W. Du 2, 3 , Chunwei Jiao 1, 5 , Honghui Pan 1 , Mouna Sdiri 2, 3 , Nan Wu 2, 3 , Yizhen Xie 1, 5 , Burton B. Yang 2, 3, 6 1 State Key Laboratory of Applied Microbiology Southern China, Guangdong Provincial Key Laboratory of Microbial Culture Collection and Application, Guangdong Institute of Microbiology, Guangzhou, PR China 2 Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, Canada 3 Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Canada 4 College of Life Science and Bioengineering, Beijing University of Technology, Pingleyuan, Chaoyang, Beijing, China 5 Guangdong Yuewei Edible Fungi Technology Co. Ltd, Guangzhou, China 6 Institute of Medical Science, University of Toronto, Toronto, Canada * These authors contributed equally to this work Correspondence to: Yizhen Xie, email: 13622216490@126.com Burton B. Yang, email: byang@sri.utoronto.ca Keywords: ergosterol peroxide, pAKT, c-Myc, Foxo3, Puma Received: January 13, 2016      Accepted: March 14, 2016      Published: April 06, 2016 ABSTRACT Sterols are the important active ingredients of fungal secondary metabolites to induce death of tumor cells. In our previous study, we found that ergosterol peroxide (5α, 8α-epidioxiergosta-6, 22-dien-3β-ol), purified from Ganoderma lucidum , induced human cancer cell death. Since the amount of purified ergosterol peroxide is not sufficient to perform in vivo experiments or apply clinically, we developed an approach to synthesize ergosterol peroxide chemically. After confirming the production of ergosterol peroxide, we examined the biological functions of the synthetic ergosterol peroxide. The results showed that ergosterol peroxide induced cell death and inhibited cell migration, cell cycle progression, and colony growth of human hepatocellular carcinoma cells. We further examined the mechanism associated with this effect and found that treatment with ergosterol peroxide increased the expression of Foxo3 mRNA and protein in HepG2 cells. The upstream signal proteins pAKT and c-Myc, which can inhibit Foxo3 functions, were clearly decreased in HepG2 cells treated with ergosterol peroxide. The levels of Puma and Bax, pro-apoptotic proteins, were effectively enhanced. Our results suggest that ergosterol peroxide stimulated Foxo3 activity by inhibiting pAKT and c-Myc and activating pro-apoptotic protein Puma and Bax to induce cancer cell death.

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 score0.005
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
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)0.0050.001

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 head0.012
GPT teacher head0.236
Teacher spread0.223 · 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

Citations81
Published2016
Admission routes2
Has abstractyes

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