NMR‐based metabolomics combined with metabolic pathway analysis reveals metabolic heterogeneity of colorectal cancer tissue at different anatomical locations and stages DOI Creative Commons
Rongzhi Cai, Lixin Ke, Yan Zhao

et al.

International Journal of Cancer, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 4, 2024

Abstract Colorectal cancer (CRC) still remains the leading cause of death worldwide. This study aimed to profile metabolic differences colorectal tissues (CCT) at different stages and sites, as compared with their distant noncancerous (DNT), investigate temporal spatial heterogeneities characterization. Our NMR‐based metabolomics fingerprinting revealed that many metabolite levels were significantly altered in CCT DNT esophageal tissues, indicating deregulations glucose metabolism, one‐carbon glutamine amino acid fatty TCA cycle, choline so forth. A total five biomarker metabolites, including glucose, glutamate, alanine, valine histidine, identified distinguish between early advanced CCT. Metabolites anatomical sites include glycerol, glutamine, inositol, succinate, citrate. Those significant CRC pathological suggested characterization CCT, providing a foundation for further on biofluid metabolism detection.

Language: Английский

A metabolomic profile of biological aging in 250,341 individuals from the UK Biobank DOI Creative Commons
Shiyu Zhang, Zheng Wang, Yijing Wang

et al.

Nature Communications, Journal Year: 2024, Volume and Issue: 15(1)

Published: Sept. 15, 2024

Language: Английский

Citations

10

Cross‐Referencing Multifluid Metabolic Profiles on Hollow Dodecahedral Nanocages for Enhanced Disease Status Identification DOI Open Access

Fangying Shi,

Lingli Chen, Yiming Qiao

et al.

Small, Journal Year: 2025, Volume and Issue: 21(9)

Published: Feb. 5, 2025

Abstract The development of matrices has shown great potential for fluid metabolic analysis in disease detection. However, single‐fluid metabolomic been recognized as insufficient to fully capture the complexities diseases such liver disease, which limits detection accuracy. To this end, hollow dodecahedral nanocages‐based analytical tool is developed, featuring four‐high characteristics speed, throughput, efficiency, and patient compliance, enhance extraction multifluid profiles. cross‐referencing these profiles among different diseases, including hepatocellular carcinoma (HCC), chronic (CLD), healthy controls, enhances diagnosis particularly achieving near‐perfect discrimination HCC with an AUC value 0.990, significantly outperforming any single analysis. Additionally, dynamic changes expression levels key biomarkers throughout progression are explored, providing insights into their temporal evolution, highlighting role monitoring status. This work highlights that can comprehensively sensitively reflect status, enabling precise identification complex facilitating personalized treatment.

Language: Английский

Citations

1

Elucidating the Mechanisms of Acquired Palbociclib Resistance via Comprehensive Metabolomics Profiling DOI Creative Commons
Lulu Yang, Yajun Yue, Zhendong Wang

et al.

Current Issues in Molecular Biology, Journal Year: 2025, Volume and Issue: 47(1), P. 24 - 24

Published: Jan. 2, 2025

Palbociclib is a cyclin-dependent kinase 4/6 inhibitor and commonly used antitumor drug. Many cancers are susceptible to palbociclib resistance, however, the underlying metabolism mechanism extent of resistance unknown. In this study, LC-MS metabolomics was investigate metabolite changes colorectal cancer SW620 cells that were resistant palbociclib. The study indicated there 76 expression differences between with parental involving amino acids, glutathione, ABC transporters, so on. MetaboAnalyst 6.0 metabolic pathway analysis showed arginine synthesis, β-alanine metabolism, purine disrupted. These results may provide potential clues drug in Our has contribute anti-palbociclib resistance.

Language: Английский

Citations

0

Immunomodulation of Glycyrrhiza Polysaccharides In Vivo Based on Microbiome and Metabolomics Approaches DOI Creative Commons
Yixuan Wu, Jie Sun, Wenjie Xie

et al.

Foods, Journal Year: 2025, Volume and Issue: 14(5), P. 874 - 874

Published: March 4, 2025

Glycyrrhiza uralensis Fisch. is a medicinal herb that can be added to food provide therapeutic effects and reduce the burden of medications. Herein, immunomodulatory polysaccharides (GPs) were verified illustrated by intervening immunocompromised rats treated with different doses GPs, which reflected for adjusting composition structure intestinal microbiota altering metabolic profile. The GPs exerted regulating microenvironment. In particular, could promote growth probiotic bacteria Allobaculum, norank__o_Clostridia_UCG-014, Dubosiella, g__norank_o___RF39 curb harmful Enterococcus. results showed had prebiotic effect, contributed improving environment maintaining health. addition, content beneficial differential metabolites was up-regulated, especially short-chain fatty acids, alanine, aspartate, glutamate metabolism; arginine biosynthesis; glyoxylate dicarboxylate metabolism being most enriched pathways. These pathways imply process effector it are focused. Overall, purpose this article lies in providing support application immune function.

Language: Английский

Citations

0

Metabolic reprogramming in esophageal squamous cell carcinoma DOI Creative Commons
Ziyi Wang, Xiangyu Sun, Zehui Li

et al.

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

Published: June 26, 2024

Esophageal squamous cell carcinoma (ESCC) is a malignancy with high incidence in China. Due to the lack of effective molecular targets, prognosis ESCC patients poor. It urgent explore pathogenesis identify promising therapeutic targets. Metabolic reprogramming an emerging hallmark ESCC, providing novel perspective for revealing biological features ESCC. In hypoxic and nutrient-limited tumor microenvironment, cells have reprogram their metabolic phenotypes fulfill demands bioenergetics, biosynthesis redox homostasis cells. this review, we summarized that involves glucose metabolism, lipid amino acid metabolism how reprogrammed provokes opportunities biomarkers potential targets

Language: Английский

Citations

2

Omics approaches to unravel insecticide resistance mechanism in Bemisia tabaci (Gennadius) (Hemiptera: Aleyrodidae) DOI Creative Commons

Muhammad Aqil Fitri Rosli,

Sharifah Nabihah Syed Jaafar, Kamalrul Azlan Azizan

et al.

PeerJ, Journal Year: 2024, Volume and Issue: 12, P. e17843 - e17843

Published: Sept. 5, 2024

(Gennadius) whitefly (BtWf) is an invasive pest that has already spread worldwide and caused major crop losses. Numerous strategies have been implemented to control their infestation, including the use of insecticides. However, prolonged insecticide exposures evolved BtWf resist these chemicals. Such resistance mechanism known be regulated at molecular level systems biology omics approaches could shed some light on understanding this regulation wholistically. In review, we discuss various techniques (genomics, transcriptomics, proteomics, metabolomics) unravel in BtWf. We summarize key genes, enzymes, metabolic are associated with review impact resistance. Evidently, enzymes involved detoxification system such as cytochrome P450 (CYP), glutathione S-transferases (GST), carboxylesterases (COE), UDP-glucuronosyltransferases (UGT), ATP binding cassette transporters (ABC) family played roles These genes/proteins can then serve foundation for other targeted techniques, gene silencing using RNA interference CRISPR. future, will useful knock down detoxifying genes crucial neutralizing mechanism, which lead solutions coping against infestation.

Language: Английский

Citations

2

Metabolomics for enhanced clinical understanding of inflammatory bowel disease DOI Creative Commons
Theresa Louise Boye, Alexander Hammerhøj, Ole Haagen Nielsen

et al.

Life Sciences, Journal Year: 2024, Volume and Issue: 359, P. 123238 - 123238

Published: Nov. 12, 2024

Metabolomics is an emerging field involving the systematic identification and quantification of numerous metabolites in biological samples. Precision medicine applies multiomics systems biology to individual patients for reliable diagnostic classification, disease monitoring, treatment. Multiomics encompasses genomics, transcriptomics, proteomics, epigenomics, metabolomics. Therefore, metabolomic techniques could be highly valuable future clinical decision-making. This review provides a technical overview two commonly used metabolomics measurements: mass spectrometry (MS) proton nuclear magnetic resonance (

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

New Metabolomic Insights Into Cancer DOI
Jiangjiang Zhu

The Cancer Journal, Journal Year: 2024, Volume and Issue: 30(5), P. 301 - 306

Published: Sept. 1, 2024

Cancer has been marked by metabolic irregularities that fuel various aggressive activities such as rapid cell proliferation, evasion of the immune system, and spread to distant organs. Therefore, exploiting cancer metabolism for diagnosis, monitoring, or treatment extensively studied in past couple decades with molecular cellular techniques. More recently, investigating diagnostics treatments through advanced metabolomics emerged, these comprehensive approaches provide a holistic understanding metabolism, which supported discovery targets relevant across multiple types development more effective treatments. This study offers highlights new knowledge on enabled recent studies their potential applications aiding research predicting outcomes. Specifically, we discussed use tumor microenvironment, immunotherapy valuable insights can shape future efforts dynamic field research.

Language: Английский

Citations

0

NMR‐based metabolomics combined with metabolic pathway analysis reveals metabolic heterogeneity of colorectal cancer tissue at different anatomical locations and stages DOI Creative Commons
Rongzhi Cai, Lixin Ke, Yan Zhao

et al.

International Journal of Cancer, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 4, 2024

Abstract Colorectal cancer (CRC) still remains the leading cause of death worldwide. This study aimed to profile metabolic differences colorectal tissues (CCT) at different stages and sites, as compared with their distant noncancerous (DNT), investigate temporal spatial heterogeneities characterization. Our NMR‐based metabolomics fingerprinting revealed that many metabolite levels were significantly altered in CCT DNT esophageal tissues, indicating deregulations glucose metabolism, one‐carbon glutamine amino acid fatty TCA cycle, choline so forth. A total five biomarker metabolites, including glucose, glutamate, alanine, valine histidine, identified distinguish between early advanced CCT. Metabolites anatomical sites include glycerol, glutamine, inositol, succinate, citrate. Those significant CRC pathological suggested characterization CCT, providing a foundation for further on biofluid metabolism detection.

Language: Английский

Citations

0