Effect of polyphenols from kiwi by-products (PKWP) on redox and metabolic homeostasis of HepG2 cells DOI
Jing Wang, Dongliang Jin,

Liangliang Fang

et al.

International Food Research Journal, Journal Year: 2024, Volume and Issue: 31(3), P. 770 - 783

Published: July 1, 2024

Polyphenols from kiwi by-products (PKWP) have been previously reported to an inhibitory effect on cancer cells; but, the potential anti-cancer mechanism remains unknown. Metabolic alterations in cells provide bioenergy and substances for uncontrolled proliferation development, interfering with metabolic pathways has regarded as effective impeding progression. Cancer are also characterised by a relatively higher level of oxidative stress enhanced antioxidant defence system, facilitating multiple stages tumorigenesis. Anti-cancer mechanisms PKWP based redox homeostasis HepG2 were thus investigated present work. The results showed that effectively decreased cell viability concentration-dependent manner. caused disorders cells, significantly affected content about 32 metabolites. mainly inhibited saccharide synthesis glycolysis, restricted utilisation amino acids. stimulated ROS production, lipid peroxidation, resulting damage. down-regulated activities T-SOD CAT, GSH, protein expressions HO-1 COX-2, weakening cellular capacity. Thus, could exert prominent activity disrupting homeostasis, induction stress. These findings will evidence further elucidation PKWP, application natural ingredient functional food, cosmetic, pharmaceutical industries.

Language: Английский

Study on the correlation between microbial community succession and main flavor substances in the mashes of Tanggou liquor DOI Creative Commons
Aixue Hu, Yaohui Zhu, Zhan Gao

et al.

Food Chemistry X, Journal Year: 2025, Volume and Issue: unknown, P. 102486 - 102486

Published: April 1, 2025

Language: Английский

Citations

0
Smart on-demand drug release strategies for cancer combination therapy DOI
Xiaolin Huang,

Mengfei Ji,

X L Shang

et al.

Journal of Controlled Release, Journal Year: 2025, Volume and Issue: unknown, P. 113782 - 113782

Published: April 1, 2025

Language: Английский

Citations

0
Study of acute lethality, teratogenesis, and metabolomic changes of N-(2'-Hydroxyphenyl)-2-Propylpentanamide (HO-AAVPA) on Artemia franciscana DOI
Cynthia Fernández–Pomares, Alan Rubén Estrada-Pérez, Humberto L. Mendoza‐Figueroa

et al.

Published: April 29, 2025

Abstract The brine shrimp lethality test (Artemia spp.) is a classical model for assessing the toxicity of bioactive compounds. This study evaluated and metabolomic changes induced by N-(2'- hydroxyphenyl)-2-propylpentanamide (HO-AAVPA), derivative valproic acid (VPA), in Artemia franciscana larvae using untargeted metabolomics through liquid chromatography–mass spectrometry (LC-MS/MS). lethal concentration 50 (LC50) was determined acute tests at 24 48 h, teratogenic effects were assessed measuring body length. Larval examined following 24- 48-hour exposures to sublethal concentrations HO-AAVPA (LC1=0.04 mM, LC10=0.2 mM) VPA (LC1=1.79 LC10=8.95 mM). After had an LC50 0.32 while 18.7 mM. 9.6 mM; contrast, only significantly affected length 0.56 Metabolomic analysis revealed that sphingolipid glycerophospholipid metabolism, impacted alanine, aspartate, glutamate metabolism. These findings suggest has high toxicity, but lower teratogenicity compared VPA. In conclusion, present indicates alterations lipid amino metabolism could be critical points mode action these compounds A. franciscana.

Language: Английский

Citations

0
Spatially resolved metabolomics: From metabolite mapping to function visualising DOI Creative Commons
Xinrui Min, Yiran Zhao, Meng Yu

et al.

Clinical and Translational Medicine, Journal Year: 2024, Volume and Issue: 14(11)

Published: Oct. 25, 2024

Mass spectrometry imaging (MSI)-based spatially resolved metabolomics addresses the limitations inherent in traditional liquid chromatography-tandem mass (LC-MS)-based metabolomics, particularly loss of spatial context within heterogeneous tissues. MSI not only enhances our understanding disease aetiology but also aids identification biomarkers and assessment drug toxicity therapeutic efficacy by converting invisible metabolites biological networks into visually rendered image data. In this comprehensive review, we illuminate key advancements MSI-driven over past few years. We first outline recent innovations preprocessing methodologies instrumentation that improve sensitivity comprehensiveness metabolite detection. then delve progress made functional visualization techniques, which enhance precision annotation. Ultimately, discuss significant potential applications technology translational medicine development, offering new perspectives for future research clinical translation. HIGHLIGHTS: preserves information, enhancing analysis biomarker discovery. Advances detection accuracy, expanding bioanalytical applications. Enhanced techniques refine distribution analysis. Integration with AI promises to advance accelerate development.

Language: Английский

Citations

2
Metabolomics‐driven approaches for identifying therapeutic targets in drug discovery DOI Creative Commons

Sophearith Pan,

Lichang Yin, Jie Liu

et al.

MedComm, Journal Year: 2024, Volume and Issue: 5(11)

Published: Nov. 1, 2024

Abstract Identification of therapeutic targets can directly elucidate the mechanism and effect drug therapy, which is a central step in development. The disconnect between protein phenotypes under complex mechanisms hampers comprehensive target understanding. Metabolomics, as systems biology tool that captures phenotypic changes induced by exogenous compounds, has emerged valuable approach for identification. A overview was provided this review to illustrate principles advantages metabolomics, delving into application metabolomics This outlines various metabolomics‐based methods, such dose–response stable isotope‐resolved multiomics, identify key enzymes metabolic pathways affected substances through dose‐dependent metabolite–drug interactions. Emerging techniques, including single‐cell artificial intelligence, mass spectrometry imaging, are also explored their potential enhance discovery. emphasizes metabolomics' critical role advancing our understanding disease accelerating targeted development, while acknowledging current challenges field.

Language: Английский

Citations

2
Investigating the mechanism of cornel iridoid glycosides on type 2 diabetes mellitus using serum and urine metabolites in rats DOI Creative Commons

Yadi Hou,

Yanmei Huang,

Zihui Shang

et al.

Journal of Ethnopharmacology, Journal Year: 2024, Volume and Issue: 328, P. 118065 - 118065

Published: March 18, 2024

Cornel iridoid glycosides (CIG) are extracted from Corni fructus, a herbal medicine used in traditional Chinese to treat diabetes. However, the antidiabetic effects of CIG and underlying metabolic mechanisms require further exploration.

Language: Английский

Citations

1
Spatially resolved metabolomics visualizes heterogeneous distribution of metabolites in lung tissue and the anti-pulmonary fibrosis effect of Prismatomeris connate extract DOI Creative Commons
Haiyan Jiang, Bowen Zheng, Guang Hu

et al.

Journal of Pharmaceutical Analysis, Journal Year: 2024, Volume and Issue: 14(9), P. 100971 - 100971

Published: March 27, 2024

Pulmonary fibrosis (PF) is a chronic progressive end-stage lung disease. However, the mechanisms underlying progression of this disease remain elusive. Presently, clinically employed drugs are scarce for treatment PF. Hence, there an urgent need developing novel to address such diseases. Our study found first time that natural source

Language: Английский

Citations

1
Integration of deep neutral network modeling and LC-MS-based pseudo-targeted metabolomics to discriminate easily confused ginseng species DOI Creative Commons

Meiting Jiang,

Yuyang Sha,

Yadan Zou

et al.

Journal of Pharmaceutical Analysis, Journal Year: 2024, Volume and Issue: 15(1), P. 101116 - 101116

Published: Sept. 26, 2024

Language: Английский

Citations

1
Stemona alkaloid derivative induce ferroptosis of colorectal cancer cell by mediating carnitine palmitoyltransferase 1 DOI Creative Commons
He Yang, Ling Wang,

Mengcheng Zhang

et al.

Frontiers in Chemistry, Journal Year: 2024, Volume and Issue: 12

Published: Oct. 3, 2024

Accumulation of acylcarnitines is a characteristic feature various metabolic disorders affecting fatty acid metabolism. Despite extensive research, no specific molecules have been identified to induce ferroptosis through the regulation acylcarnitine In this study, accumulation was based on cell metabolomics study after treatment with Stemona alkaloid derivative (SA-11), which proved in our previous research. Furthermore, CPT-1 level significantly increase, while CPT-2 indicated significant difference, resulted acylcarnitine. Besides, ferroptosis-inducing ability SA-11 enhanced by addition exogenous acylcarnitine, presumably due production additional ROS. This hypothesis corroborated observation increased ROS levels HCT-116 cells treated compared control group. These findings suggest that targeting metabolism, particularly CPT-1, may offer novel therapeutic strategy for cancer enhancing induction.

Language: Английский

Citations

1
From multi-omics to predictive biomarker: AI in tumor microenvironment DOI Creative Commons

Luo Hai,

Ziming Jiang,

Haoxuan Zhang

et al.

Frontiers in Immunology, Journal Year: 2024, Volume and Issue: 15

Published: Dec. 23, 2024

In recent years, tumors have emerged as a major global health threat. An increasing number of studies indicate that the production, development, metastasis, and elimination tumor cells are closely related to microenvironment (TME). Advances in artificial intelligence (AI) algorithms, particularly large language models, rapidly propelled research medical field. This review focuses on current state strategies applying AI algorithms metabolism explores expression differences between normal cells. The analysis is conducted from perspectives metabolomics interactions within TME, further examining roles various cytokines. describes potential approaches through which can facilitate metabolic studies, offers valuable perspective for deeper understanding pathological mechanisms tumors.

Language: Английский

Citations

1