ReviewJournal of inherited metabolic disease2018
Advances in metabolome information retrieval: turning chemistry into biology. Part II: biological information recovery.
Review in Journal of inherited metabolic disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed.
- Evaluating the Metabolomic Profile and Anti-Pathogenic Properties ofMetabolites · 2024Review
- Metabolomics analysis reveals novel serum metabolite alterations in cancer cachexia.Frontiers in oncology · 2024Article
- Exploring metabolic anomalies in COVID-19 and post-COVID-19: a machine learning approach with explainable artificial intelligence.Frontiers in molecular biosciences · 2024Article
- Correlations for untargeted GC × GC-HRTOF-MS metabolomics of colorectal cancer.Metabolomics : Official journal of the Metabolomic Society · 2023Article
- Nutritional Metabolomics in Diet-Breast Cancer Relations: Current Research, Challenges, and Future Directions-A Review.Biomedicines · 2023Review
- Protein Is an Intelligent Micelle.Entropy (Basel, Switzerland) · 2023Article
- Infection Biomarkers Based on Metabolomics.Metabolites · 2022Review
- Operationalizing the Exposome Using Passive Silicone Samplers.Current pollution reports · 2022Review
- Integrative Metabolomics Reveals Deep Tissue and Systemic Metabolic Remodeling in Glioblastoma.Cancers · 2021Article
- Metabolomics for Biomarker Discovery: Key Signatory Metabolic Profiles for the Identification and Discrimination of Oat Cultivars.Metabolites · 2021Article
- Targeted Metabolomic Analysis of a Mucopolysaccharidosis IIIB Mouse Model Reveals an Imbalance of Branched-Chain Amino Acid and Fatty Acid Metabolism.International journal of molecular sciences · 2020Article
- Analysis of Mucopolysaccharidosis Type VI through Integrative Functional Metabolomics.International journal of molecular sciences · 2019Article
- Paving the Way to Precision Nutrition Through Metabolomics.Frontiers in nutrition · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This work reports the second part of a review intending to give the state of the art of major metabolic phenotyping strategies. It particularly deals with inherent advantages and limits regarding data analysis issues and biological information retrieval tools along with translational challenges. This Part starts with introducing the main data preprocessing strategies of the different metabolomics data. Then, it describes the main data analysis techniques including univariate and multivariate aspects. It also addresses the challenges related to metabolite annotation and characterization. Finally, functional analysis including pathway and network strategies are discussed. The last section of this review is devoted to practical considerations and current challenges and pathways to bring metabolomics into clinical environments.
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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.