Objective: This study established a model to predict the risk of diabetic retinopathy (DR) with amino acids selected by partial least squares (PLS) method, and evaluated the effect of metformin on the effect of amino acids on DR in the model.
Methods: In Jinzhou, Liaoning Province, China, we retrieved 1031 patients with type 2 diabetes (T2D) from the First Affiliated Hospital of Liaoning Medical University. After sorting the amino acids using the PLS method, the top 10 amino acids were included in the model. Multivariate logistic regression was used to analyze the relationship between different amino acids and DR. And then the effects of metformin on amino acids were explored through interaction. Finally, Spearman's rank correlation analysis was used to analyze the correlation between different amino acids.
Results: After sorting by PLS, Gly, Pro, Leu, Lyr, Glu, Phe, Tyr, His, Val and Ser were finally included in the DR risk prediction model. The predictive model after adding amino acids was statistically different from the model that only included traditional risk factors (p=0.001). Metformin had a significant effect on the relationship between DR and 7 amino acids (Gly, Glu, Phe, Tyr, His, Val, Ser, p<0.05), and the population who are not using metformin and have high levels of Glu (OR: 0.44, 95%CI: 0.27-0.71) had an additive protection effect for the occurrence of DR. And the similar results can be seen in high levels of Gly (OR: 0.46, 95%CI: 0.29-0.75), Leu (OR: 0.48, 95%CI: 0.29-0.8), His (OR: 0.46, 95%CI: 0.29-0.75), Phe (OR: 0.24, 95%CI: 0.14-0.42) and Tyr (OR: 0.41, 95%CI: 0.24 -0.68) in population who are not using metformin.
Conclusions: We established a prediction model of DR by amino acids and found that the use of metformin reduced the protective effect of amino acids on DR developing, suggesting that amino acids as biomarkers for predicting DR would be affected by metformin use.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9434554 | PMC |
| http://dx.doi.org/10.3389/fendo.2022.985776 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
L-carnitine protects against oxidative damage and neuroinflammation in cerebral cortex of rats submitted to chronic chemically-induced model of hyperphenylalaninemia.
Metab Brain Dis
January 2025
Programa de Pós-Graduação em Ciências Farmacêuticas, Universidade Federal do Rio Grande do Sul, Avenida Ipiranga, 2752, Porto Alegre, CEP 90610-000, RS, Brazil.
Phenylketonuria is a genetic disorder characterized by high phenylalanine levels, the main toxic metabolite of the disease. Hyperphenylalaninemia can cause neurological impairment. In order to avoid this symptomatology, patients typically follow a phenylalanine-free diet supplemented with a synthetic formula that provides essential amino acids, including L-carnitine.
View Article and Find Full Text PDFExploring the Future of Extrusion with Andean Grains: Macromolecular Changes, Innovations, Future Trends and Food Security.
Plant Foods Hum Nutr
January 2025
Facultad de Industrias Alimentarias, Universidad Nacional Agraria La Molina, Lima, Peru.
This review aimed to explore the impact of extrusion on Andean grains, such as quinoa, kañiwa, and kiwicha, highlighting their macromolecular transformations, technological innovations, and contributions to food security. These grains, which are rich in starch, high-quality proteins, and antioxidant compounds, are versatile raw materials for extrusion, a continuous and efficient process that combines high temperatures and pressures to transform structural and chemical components. Extrusion improves the digestibility of proteins and starches, encourages the formation of amylose-lipid complexes, and increases the solubility of dietary fiber.
View Article and Find Full Text PDFIL-7 secreted by keratinocytes induces melanogenesis via c-kit/MAPK signaling pathway in Melan-a melanocytes.
Arch Dermatol Res
January 2025
Department of Genetics & Biotechnology, Graduate School of Biotechnology, College of Life Sciences, Kyung Hee University, Youngin, 17104, Republic of Korea.
Abnormal melanin synthesis within melanocytes can result in pigmentary skin disorders. Although pigmentation alterations associated with inflammation are frequently observed, the precise reason for this clinical observation is still unknown. More specifically, although many cytokines are known to be critical for inflammatory skin processes, it is unclear how they affect epidermal melanocyte function.
View Article and Find Full Text PDFAlterations of amino acids in older adults with Alzheimer's Disease and Vascular Dementia.
Amino Acids
January 2025
Institute of Brain Science, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230022, P. R. China.
Metabolomics provide a promising tool for understanding dementia pathogenesis and identifying novel biomarkers. This study aimed to identify amino acid biomarkers for Alzheimer's Disease (AD) and Vascular Dementia (VD). By amino acid metabolomics, the concentrations of amino acids were determined in the serum of AD and VD patients as well as age-matched healthy controls.
View Article and Find Full Text PDFThe secretion of TGF-β3 by adipose-derived stem cells inhibits melanin synthesis and its impact on the cAMP/PKA signaling pathway.
Arch Dermatol Res
January 2025
Burn and Wound Repair Center, The Third Hospital of Hebei Medical University, No. 139, Ziqiang Road, Shijiazhuang, Hebei Province, 050035, China.
This study aimed to investigate the role of transforming growth factor-beta 3 (TGF-β3) secreted by adipose-derived stem cells (ADSCs) in suppressing melanin synthesis during the wound healing process, particularly in burn injuries, and to explore the underlying mechanisms involving the cAMP/PKA signaling pathway. ADSCs were isolated from C57BL/6 mice and characterized using flow cytometry and differentiation assays. A burn injury model was established in mice, followed by UVB irradiation to induce hyperpigmentation.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!