Li J - Search Results

1

Interpretable machine learning-derived nomogram model for early detection of diabetic retinopathy in type 2 diabetes mellitus: a widely targeted metabolomics study.

Li J, Guo C, Wang T, Xu Y, Peng F, Zhao S, Li H, Jin D, Xia Z, Che M, Zuo J, Zheng C, Hu H, Mao G. Li J, et al. Among authors: li h. Nutr Diabetes. 2022 Aug 5;12(1):36. doi: 10.1038/s41387-022-00216-0. Nutr Diabetes. 2022. PMID: 35931671 Free PMC article.

2

Comprehensive analysis of the metabolomic characteristics on the health lesions induced by chronic arsenic exposure: A metabolomics study.

Jia C, Wei Y, Lan Y, Hou X, Zuo J, Wang T, Li J, Guan X, Yang H, Mao G. Jia C, et al. Among authors: li j. Int J Hyg Environ Health. 2019 Apr;222(3):434-445. doi: 10.1016/j.ijheh.2018.12.010. Epub 2019 Feb 19. Int J Hyg Environ Health. 2019. PMID: 30792121

3

Development and validation of a prognostic nomogram for HIV/AIDS patients who underwent antiretroviral therapy: Data from a China population-based cohort.

Hou X, Wang D, Zuo J, Li J, Wang T, Guo C, Peng F, Su D, Zhao L, Ye Z, Zhang H, Zheng C, Mao G. Hou X, et al. Among authors: li j. EBioMedicine. 2019 Oct;48:414-424. doi: 10.1016/j.ebiom.2019.09.031. Epub 2019 Oct 5. EBioMedicine. 2019. PMID: 31594752 Free PMC article.

4

The association of tryptophan and phenylalanine are associated with arsenic-induced skin lesions in a Chinese population chronically exposed to arsenic via drinking water: a case-control study.

Wei Y, Jia C, Lan Y, Hou X, Zuo J, Li J, Wang T, Mao G. Wei Y, et al. Among authors: li j. BMJ Open. 2019 Oct 30;9(10):e025336. doi: 10.1136/bmjopen-2018-025336. BMJ Open. 2019. PMID: 31666259 Free PMC article.

5

Association of n-6 PUFAs with the risk of diabetic retinopathy in diabetic patients.

Li JS, Wang T, Zuo JJ, Guo CN, Peng F, Zhao SZ, Li HH, Hou XQ, Lan Y, Wei YP, Zheng C, Mao GY. Li JS, et al. Endocr Connect. 2020 Dec;9(12):1191-1201. doi: 10.1530/EC-20-0370. Endocr Connect. 2020. PMID: 33112826 Free PMC article.

6

Morphological changes in and quantitative analysis of macular retinal microvasculature by optical coherence tomography angiography in hypertensive retinopathy.

Liu Y, Li J, Pan J, Wang Y, Mao G, Jiang Z. Liu Y, et al. Among authors: li j. Hypertens Res. 2021 Mar;44(3):325-336. doi: 10.1038/s41440-020-00583-0. Epub 2020 Dec 14. Hypertens Res. 2021. PMID: 33311576

7

Re. "ω-6/ω-3 fatty acid ratio as an essential predictive biomarker in the management of type 2 diabetes mellitus".

Li H, Li J, Wang T, Guo C, Mao G. Li H, et al. Among authors: li j. Nutrition. 2022 May;97:111111. doi: 10.1016/j.nut.2020.111111. Epub 2020 Dec 17. Nutrition. 2022. PMID: 33478784 No abstract available.

8

The performance of noninvasive indexes of adults in identification of nonalcoholic fatty liver disease in children.

Shi M, Liu P, Li J, Su Y, Zhou X, Wu C, Chen X, Zheng C. Shi M, et al. Among authors: li j. J Diabetes. 2021 Sep;13(9):744-753. doi: 10.1111/1753-0407.13169. Epub 2021 Mar 21. J Diabetes. 2021. PMID: 33576570

9

Metabolomics-based multidimensional network biomarkers for diabetic retinopathy identification in patients with type 2 diabetes mellitus.

Zuo J, Lan Y, Hu H, Hou X, Li J, Wang T, Zhang H, Zhang N, Guo C, Peng F, Zhao S, Wei Y, Jia C, Zheng C, Mao G. Zuo J, et al. Among authors: li j. BMJ Open Diabetes Res Care. 2021 Feb;9(1):e001443. doi: 10.1136/bmjdrc-2020-001443. BMJ Open Diabetes Res Care. 2021. PMID: 33593748 Free PMC article.

10

Plasma hemoglobin and the risk of death in HIV/AIDS patients treated with antiretroviral therapy.

Wang D, Hou X, Yu X, Wang T, Ye Z, Li J, Su F, Guo C, Peng F, Zhao S, Li H, Zuo J, Su D, Zhao L, Zhang H, Chen X, Wang R, Xie Q, Zheng C, Mao G. Wang D, et al. Among authors: li j, li h. Aging (Albany NY). 2021 May 7;13(9):13061-13072. doi: 10.18632/aging.202987. Epub 2021 May 7. Aging (Albany NY). 2021. PMID: 33971620 Free PMC article.

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