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Record W4378417875 · doi:10.1016/j.bioorg.2023.106623

Fangchinoline derivatives inhibits PI3K signaling in vitro and in vivo in non-small cell lung cancer

2023· article· en· W4378417875 on OpenAlexaff
Jia‐Shu Chen, Xu Guo, Jinyue Sun, Mu-xuan Wang, Xiu-zheng Gao, Zhen Wang, Jinlong Han, Hui‐Chuan Sun, Kai Zhang, Chao Liu

Bibliographic record

VenueBioorganic Chemistry · 2023
Typearticle
Languageen
FieldMedicine
TopicMicrobial Natural Products and Biosynthesis
Canadian institutionsMinistry of Agriculture
FundersMajor Scientific and Technological Innovation Project of Shandong ProvinceNational Key Research and Development Program of ChinaNatural Science Foundation of Shandong ProvinceShandong Academy of Agricultural SciencesNational Natural Science Foundation of China
KeywordsChemistryIn vivoA549 cellCell growthPI3K/AKT/mTOR pathwayApoptosisProtein kinase BIC50Cell cultureDocking (animal)Cancer cellPharmacologyCellIn vitroKinaseBiochemistryCancerBiologyMedicine

Abstract

fetched live from OpenAlex

Abstract Background Cancer is a primary public health problem worldwide today. Tetrandrine (Tet) and fangchinoline (Fan) are extracted from the traditional Chinese medicine Stephania tetrandra S., which are two types of bis-benzyl isoquinoline alkaloids with anti-tumor activity. However, Tet and Fan are not suitable for clinical application due to their high effective doses. Results Through chemical modification, 19 novel Tet and Fan derivatives were firstly proposed and synthesized in this work, and they were assessed for the cytotoxicity against six tumor cell lines (H520, H460, HepG-2, HeLa, A549, and MCF-7) and human bronchial epithelial cells (BEAS-2b) by the CCK-8 assay. Compared to the parent Fan, ten derivatives demonstrated better cytotoxic effects, and 4b exhibited the strongest inhibitory activity against A549 cells growth (IC50 = 0.78 µM) and low toxicity against BEAS-2b cells (IC50 = 17.22 µM). Encouragingly, the IC50 value of compound 4b was 0.78 µM, demonstrating 3.53-fold, 10.22-fold and 12.13-fold more anticancer activity than HCPT, Tet and Fan, respectively. Subsequently, the anti-tumor mechanism of compound 4b was studied by hoechst 33258, flow cytometry, cell scratch, western blotting, and JC-1 staining. The results indicated compound 4b remarkably inhibited the cell migration by decreasing MMP-2 and MMP-9 expression and inhibited the proliferation of A549 cells by arresting the G2/M cell cycle. Meanwhile, compound 4b could also induce A549 cell apoptosis by promoting endogenous pathways of mitochondrial regulation. Subsequently, we simulated the drug stability of compound 4b in vivo, compound 4b showed a hydrolysis half-life of over 8 h in simulated gastric and intestinal fluids. In addition, in vivo experiments in nude mice presented that the growth of tumor tissues was markedly inhibited by the consumption of compound 4b in a dose-dependent manner, and the inhibition rate of the high-dose group (40 mg/kg) was greater than 50%. Regarding the anti-tumor mechanism of compound 4b, it was found that compound 4b could inhibit the mTOR/PI3K/AKT pathway in vivo. Furthermore, the binding mode of BCl-2 and Bax with compound 4b was investigated by performing a molecular docking study. Conclusions In summary, our present study unveiled the antitumor activities of 19 novel derivatives against the normal lung epithelial BESA-2b cells and six cancer cell lines in vitro. Furthermore, the following experiments illuminated that compound 4b could exert antitumor effects and induce apoptosis by regulating the PI3K/Akt/mTOR signaling pathway in vivo through triggering the mitochondria-mediated intrinsic pathways. This newly Fan derivative could exert antitumor effects in vivo and in vitro, which implied that compound 4b would be a prospective new anti-lung cancer drug for future development.

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 score0.002
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)0.0020.000

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 head0.010
GPT teacher head0.236
Teacher spread0.225 · 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

Citations4
Published2023
Admission routes1
Has abstractno

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