Raman spectroscopy analysis of plasma of diabetes patients with and without retinopathy, nephropathy, and neuropathy.

Autor: Jadhav PA; Advanced Centre for Treatment Research and Education in Cancer, Tata Memorial Centre, Kharghar, Navi Mumbai, India; Homi Bhabha National Institute, Training School Complex, Anushakti Nagar, Mumbai, India., Hole A; Advanced Centre for Treatment Research and Education in Cancer, Tata Memorial Centre, Kharghar, Navi Mumbai, India., Sivaprasad M; Department of Biochemistry, ICMR-National Institute of Nutrition, Hyderabad, India., Viswanath K; Pushpagiri Vitreo Retina Institute, Hyderabad, India., Sahay M; Osmania Medical College and General Hospital, Hyderabad, India., Sahay R; Osmania Medical College and General Hospital, Hyderabad, India., Bhanuprakash Reddy G; Department of Biochemistry, ICMR-National Institute of Nutrition, Hyderabad, India. Electronic address: geereddy@yahoo.com., Murali Krishna C; Advanced Centre for Treatment Research and Education in Cancer, Tata Memorial Centre, Kharghar, Navi Mumbai, India; Homi Bhabha National Institute, Training School Complex, Anushakti Nagar, Mumbai, India. Electronic address: mchilakapati@actrec.gov.in.
Jazyk: angličtina
Zdroj: Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy [Spectrochim Acta A Mol Biomol Spectrosc] 2024 Jan 05; Vol. 304, pp. 123337. Date of Electronic Publication: 2023 Sep 09.
DOI: 10.1016/j.saa.2023.123337
Abstrakt: Diabetes is now one of the major public health challenges, globally. Prolonged diabetes leads to various diabetic microvascular complications (DMCs) like retinopathy, nephropathy, and neuropathy. Multiple factors are likely to be involved in predisposing diabetic individuals to complications. Early detection or diagnosis is essential in developing strategies to reduce the risk factors and management costs of these diabetic complications. In this study, we employed Raman Spectroscopy (RS) to analyse the plasma samples of diabetes patients without and with DMCs along with the plasma samples of healthy subjects. Spectral comparisons revealed decrease in protein content in Diabetes group and further subsequent decrease in proteins in DMC groups when compared with control group, which corroborates with the fact that there exists increased secretion of proteins in urine and corresponding decreased protein content in their blood in case of diabetic individuals. Among all study groups, it was noted that 75% of control spectra show correct classification, while spectral misclassification is high amongst the subjects with Diabetes and DMCs. Interestingly, very few Diabetes and DMC plasma spectra are misclassified as control spectra. Findings demonstrate that 70% of the Diabetes subjects without complications can be correctly identified from diabetes with complications. Further, investigations could also attempt to explore the use of serum instead of plasma to reduce the spectral misclassifications as one of the abundant constituents namely clotting factors could be avoided. The outcome of RS study may be imminent for the early detection or diagnosis of DMCs.
Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2023 Elsevier B.V. All rights reserved.)
Databáze: MEDLINE
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