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Tianlu Chen

Researcher at Shanghai Jiao Tong University

Publications -  92
Citations -  5577

Tianlu Chen is an academic researcher from Shanghai Jiao Tong University. The author has contributed to research in topics: Metabolome & Metabolite. The author has an hindex of 33, co-authored 91 publications receiving 4003 citations.

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Serum metabolite profiling of human colorectal cancer using GC-TOFMS and UPLC-QTOFMS.

TL;DR: In this article, the authors performed a serum metabolic analysis to test the hypothesis that the distinct metabolite profiles of malignant tumors are reflected in biofluids, and identified 33 metabolites from 64 colorectal cancer (CRC) patients and 65 healthy controls using gas chromatography time-of-flight mass spectrometry (GC−TOFMS) and Acquity ultraperformance liquid chromatography quadrupole time of flight mass analyzer (Acquity UPLC−QTOFMs).
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Theabrownin from Pu-erh tea attenuates hypercholesterolemia via modulation of gut microbiota and bile acid metabolism.

TL;DR: Theabrownin alters the gut microbiota in mice and humans, predominantly suppressing microbes associated with bile-salt hydrolase (BSH) activity, and it is suggested that decreased intestinal BSH microbes and/or decreased FXR-FGF15 signaling may be potential anti- hypercholesterolemia and anti-hyperlipidemia therapies.
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Missing Value Imputation Approach for Mass Spectrometry-based Metabolomics Data

TL;DR: This study comprehensively compared eight imputation methods for missing value imputation for different types of missing values using four metabolomics datasets and demonstrated that RF performed the best for MCAR/MAR and QRILC was the favored one for left-censored MNAR.
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Serum and Urine Metabolite Profiling Reveals Potential Biomarkers of Human Hepatocellular Carcinoma

TL;DR: This work shows that metabolomic profiling approach is a promising screening tool for the diagnosis and stratification of HCC patients with alpha fetoprotein values lower than 20 ng/ml with an accuracy of 100% using a panel of metabolite markers.
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Potential metabolite markers of schizophrenia

TL;DR: A global metabolic profiling study involving 112 schizophrenic patients and 110 healthy subjects, who were divided into a training set and a test set, designed to identify metabolite markers found multiple fatty acids and ketone bodies elevated, suggesting an upregulated fatty acid catabolism in the brains of schizophrenia patients.