Results 1 to 10 of about 56,044 (294)

Challenges in ESI-MS-based Untargeted Metabolomics

CHIMIA, 2022
Untargeted metabolomics is now widely recognized as a useful tool for exploring metabolic changes taking place in biological systems under different conditions.
Serge Rudaz, Elena Tobolkina, Víctor González-Ruiz, Isabel Meister, Miguel De Figueiredo, Davy Guillarme, Julien Boccard   +6 more
doaj   +5 more sources

Untargeted metabolomics unveils metabolic biomarkers in HFpEF. [PDF]

Front Mol Biosci
Abstract Background Heart failure with preserved ejection fraction (HFpEF) is a complex condition linked to metabolic disturbances. This study aimed to identify plasma metabolic signatures in HFpEF patients using untargeted metabolomic profiling. Methods We analyzed data from 30 HFpEF patients and 30 matched healthy controls.
Duan D, Abudurexiti M, Abuduhalike R, Aimaier S, Mahemuti A.   +4 more
europepmc   +2 more sources

Inborn Errors of Metabolism in the Era of Untargeted Metabolomics and Lipidomics [PDF]

Metabolites, 2019
Inborn errors of metabolism (IEMs) are a group of inherited diseases with variable incidences. IEMs are caused by disrupting enzyme activities in specific metabolic pathways by genetic mutations, either directly or indirectly by cofactor deficiencies ...
Israa T Ismail, Megan R Showalter, Oliver Fiehn   +2 more
doaj   +4 more sources

Multiplatform untargeted metabolomics

Magnetic Resonance in Chemistry, 2023
Abstract Metabolomics samples like human urine or serum contain upwards of a few thousand metabolites, but individual analytical techniques can only characterize a few hundred metabolites at best. The uncertainty in metabolite identification commonly encountered in untargeted metabolomics adds to this low coverage problem.
Micah J. Jeppesen, Robert Powers
openaire   +2 more sources

Comparison of Widely Targeted Metabolomics and Untargeted Metabolomics of Wild Ophiocordyceps sinensis

Molecules, 2022
The authors of this paper conducted a comparative metabolomic analysis of Ophiocordyceps sinensis (OS), providing the metabolic profiles of the stroma (OSBSz) and sclerotia (OSBSh) of OS by widely targeted metabolomics and untargeted metabolomics.
Jinna Zhou, Donghai Hou, Weiqiu Zou, Jinhu Wang, Run Luo, Mu Wang, Hong Yu   +6 more
doaj   +1 more source

Metabolite annotation from knowns to unknowns through knowledge-guided multi-layer metabolic networking

Nature Communications, 2022
Unknown metabolite annotation is a grand challenge in untargeted metabolomics. Here, the authors develop knowledge-guided multi-layer networking (KGMN) to enable global metabolite annotation from knowns to unknowns in untargeted metabolomics.
Zhiwei Zhou, Mingdu Luo, Haosong Zhang, Yandong Yin, Yuping Cai, Zheng-Jiang Zhu   +5 more
doaj   +1 more source

Investigation of pathogenesis of hyperuricemia based on untargeted and targeted metabolomics

Scientific Reports, 2022
Hyperuricemia (HUA) seriously harms human health but the exact etiology and pathogenesis of HUA are not fully understood. Therefore, it is still of great significance to find effective biomarkers and explore the pathogenesis of HUA. Metabolomics reflects
Nankun Qin, Ming Qin, Wenjun Shi, Lingbo Kong, Liting Wang, Guang Xu, Yuying Guo, Jiayu Zhang, Qun Ma   +8 more
doaj   +1 more source

Untargeted Metabolomic Characterization of Ovarian Tumors [PDF]

Cancers, 2020
Diagnosis of ovarian cancer is difficult due to the lack of clinical symptoms and effective screening algorithms. In this study, we aim to develop models for ovarian cancer diagnosis by detecting metabolites in urine and plasma samples. Ultra-high-performance liquid chromatography and quadrupole time-of-flight mass spectrometry (UHPLC-QTOF-MS) in ...
Liu, Xiaona, Liu, Gang, Chen, Lihua, Liu, Fei, Zhang, Xiaozhe, Liu, Dan, Liu, Xinxin, Cheng, Xi, Liu, Lei   +8 more
openaire   +2 more sources

Metabolomic comparison followed by cross-validation of enzyme-linked immunosorbent assay to reveal potential biomarkers of diabetic retinopathy in Chinese with type 2 diabetes

Frontiers in Endocrinology, 2022
PurposeTo identify the biomarkers in the critical period of development in diabetic retinopathy (DR) in Chinese with type 2 diabetes using targeted and untargeted metabolomics, and to explore the feasibility of their clinical applicationMethodsThis case ...
Zongyi Wang, Jiyang Tang, Enzhong Jin, Chi Ren, Siying Li, Linqi Zhang, Yusheng Zhong, Yu Cao, Jianmin Wang, Wei Zhou, Mingwei Zhao, Lvzhen Huang, Jinfeng Qu   +12 more
doaj   +1 more source

Metabolomics profiling reveals differences in proliferation between tumorigenic and non-tumorigenic Madin-Darby canine kidney (MDCK) cells [PDF]

PeerJ, 2023
Background Madin-Darby canine kidney (MDCK) cells are a cellular matrix in the production of influenza vaccines. The proliferation rate of MDCK cells is one of the critical factors that determine the vaccine production cycle.
Na Sun, Yuchuan Zhang, Jian Dong, Geng Liu, Zhenbin Liu, Jiamin Wang, Zilin Qiao, Jiayou Zhang, Kai Duan, Xuanxuan Nian, Zhongren Ma, Xiaoming Yang   +11 more
doaj   +2 more sources