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For: Brunmair J, Bileck A, Schmidl D, Hagn G, Meier-menches SM, Hommer N, Schlatter A, Gerner C, Garhöfer G. Metabolic phenotyping of tear fluid as a prognostic tool for personalised medicine exemplified by T2DM patients. EPMA Journal. [DOI: 10.1007/s13167-022-00272-7] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
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1 Teo AWJ, Zhang J, Zhou L, Liu Y. Metabolomics in Corneal Diseases: A Narrative Review from Clinical Aspects. Metabolites 2023;13:380. [DOI: 10.3390/metabo13030380] [Reference Citation Analysis]
2 Deng JY, Wu XQ, He WJ, Liao X, Tang M, Nie XQ. Targeting DNA methylation and demethylation in diabetic foot ulcers. J Adv Res 2023:S2090-1232(23)00022-X. [PMID: 36706989 DOI: 10.1016/j.jare.2023.01.009] [Reference Citation Analysis]
3 Lei Y, Guo J, He S, Yan H. Essential Role of Multi-Omics Approaches in the Study of Retinal Vascular Diseases. Cells 2022;12. [PMID: 36611897 DOI: 10.3390/cells12010103] [Reference Citation Analysis]
4 Wu Z, Zhang H, Li Z, Li H, Miao X, Pan H, Wang J, Liu X, Kang X, Li X, Tao L, Guo X. Mutual effect of homocysteine and uric acid on arterial stiffness and cardiovascular risk in the context of predictive, preventive, and personalized medicine. EPMA J 2022;13:581-95. [PMID: 36505895 DOI: 10.1007/s13167-022-00298-x] [Reference Citation Analysis]
5 Chu SS, Nguyen HA, Zhang J, Tabassum S, Cao H. Towards Multiplexed and Multimodal Biosensor Platforms in Real-Time Monitoring of Metabolic Disorders. Sensors 2022;22:5200. [DOI: 10.3390/s22145200] [Reference Citation Analysis]
6 Nokhoijav E, Guba A, Kumar A, Kunkli B, Kalló G, Káplár M, Somodi S, Garai I, Csutak A, Tóth N, Emri M, Tőzsér J, Csősz É. Metabolomic Analysis of Serum and Tear Samples from Patients with Obesity and Type 2 Diabetes Mellitus. Int J Mol Sci 2022;23:4534. [PMID: 35562924 DOI: 10.3390/ijms23094534] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]