ArticlePloS one2014
Metabolomic analysis of diet-induced type 2 diabetes using UPLC/MS integrated with pattern recognition approach.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed.
- Effects of aerobic exercise on inflammation and gut microbiota in obese mice: a metagenomic and metabolomic analysis.Journal of translational medicine · 2026Article
- Coronary heart disease and type 2 diabetes metabolomic signatures in the Middle East.Frontiers in endocrinology · 2025Article
- Assessing Metabolic Differences Associated with Exposure to Polybrominated Biphenyl and Polychlorinated Biphenyls in the Michigan PBB Registry.Environmental health perspectives · 2023Article
- Disease-associated metabolic pathways affected by heavy metals and metalloid.Toxicology reports · 2023Review
- Application of weighted gene co-expression network and immune infiltration for explorations of key genes in the brain of elderly COVID-19 patients.Frontiers in immunology · 2023Article
- Polyphenol RichAntioxidants (Basel, Switzerland) · 2022Article
- Impact of Geographical Location on the Gut Microbiota Profile in Egyptian Children with Type 1 Diabetes Mellitus: A Pilot Study.International journal of general medicine · 2022Article
- Natural Compounds from Hatikana Extract Potentiate Antidiabetic Actions as Displayed by In Vivo Assays and Verified by Network Pharmacological Tools.BioMed research international · 2021Article
- Effects of arsenic and heavy metals on metabolic pathways in cells of human origin: Similarities and differences.Toxicology reports · 2021Article
- Metabolomic Analysis Identifies Glycometabolism Pathways as Potential Targets of Qianggan Extract in Hyperglycemia Rats.Frontiers in pharmacology · 2020Article
- Alterations in Gut Microbiota of Gestational Diabetes Patients During the First Trimester of Pregnancy.Frontiers in cellular and infection microbiology · 2020Article
- Targeting regulation of tryptophan metabolism for colorectal cancer therapy: a systematic review.RSC advances · 2019Review
- Article
- A Pharmacometabolomic Approach to Predict Response to Metformin in Early-Phase Type 2 Diabetes Mellitus Patients.Molecules (Basel, Switzerland) · 2018Article
- Rapid Screening of Chemical Constituents inEvidence-based complementary and alternative medicine : eCAM · 2017Article
- Berberine ameliorates nonbacterial prostatitis via multi-target metabolic network regulation.Omics : a journal of integrative biology · 2015Article
- Metabolic fingerprinting to understand therapeutic effects and mechanisms of silybin on acute liver damage in rat.Pharmacognosy magazineArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Metabolomics represents an emerging discipline concerned with comprehensive assessment of small molecule endogenous metabolites in biological systems and provides a powerful approach insight into the mechanisms of diseases. Type 2 diabetes (T2D), called the burden of the 21st century, is growing with an epidemic rate. However, its precise molecular mechanism has not been comprehensively explored. In this study, we applied urinary metabolomics based on the UPLC/MS integrated with pattern recognition approaches to discover differentiating metabolites, to characterize and explore metabolic pathway disruption in an experimental model for high-fat-diet induced T2D. Six differentiating urinary metabolites were found in the negative mode, and two (2-(4-hydroxy-3-methoxy-phenyl) acetaldehyde sulfate, 2-phenylethanol glucuronide) of which were identified involving the key metabolic pathways linked to pentose and glucuronate interconversions, starch, sucrose metabolism and tyrosine metabolism. Our study provides new insight into pathophysiologic mechanisms and may enhance the understanding of T2D pathogenesis.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.