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Triptolide Inhibits MCF-7 and HepG2 Cells Invasion and Migration by Inhibiting the Synthesis of Polylactosamine Chains

2016· article· en· W2515323535 on OpenAlexvenueno aff
Yaqin Yuan, Hao Qiu, Jingdong Gao, Zerong Wang, Chunliang Liu, Zhenhua Liu, Zhi‐Hong Jiang, Yongjian Li, Shiliang Wu

Bibliographic record

VenueJournal of Analytical Oncology · 2016
Typearticle
Languageen
FieldMedicine
TopicNatural Compounds in Disease Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsTriptolideTripterygium wilfordiiMCF-7ChemistryTripterygiumCancer researchCancerPharmacologyApoptosisImmunologyCancer cellMedicineInternal medicineHuman breastPathologyBiochemistryStereochemistry

Abstract

fetched live from OpenAlex

Triptolide is a bioactive natural products isolated from Tripterygium wilfordii, a traditional Chinese herbal medicine. Clinical studies reveal that triptolide can be used in autoimmune disorders, such as rheumatoid arthritis, kidney disease and systemic lupus erythematosus. Recently, some studies revealed that triptolide has anti-tumor effects, which attracts more and more attention. This experiment aimed to explore the relationship between anti-tumor effects of triptolide and N-type polylactosamine. With increasing the concentration of triptolide, the viability of MCF-7 and HepG2 cells was reduced significantly and the polylactosamine expression on these cells declined as well. In addition, the expression of β1, 3-N-acetylglucosamine transferase (β3GnT8) participated in catalyzing the synthesis of N-type polylactosamine was also decreased and the expression of genes and proteins of downstream signaling was altered consequently. Finally, triptolide weakened the cancer cells invasion and migration. All of these indicate that triptolide can impair MCF-7 and HepG2 cells invasion and migration through downregulating the expression of polylactosamine chains. These studies establish that triptolide is a potential novel therapy in breast cancer and hepatic carcinoma

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.115
Threshold uncertainty score0.223

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0000.000
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 head0.018
GPT teacher head0.296
Teacher spread0.278 · 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 teacher head, 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

Citations1
Published2016
Admission routes1
Has abstractyes

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