Red blood cell count and cystatin C as the specific biomarkers for diabetic retinopathy from diabetes mellitus: a case–control study

Diabetic retinopathy (DR) is a common microvascular complication of diabetes mellitus (DM). However, the blood physiological indicators for this eye disease are less reported. Here, we systemically investigated healthy controls, DR patients and DM patients from 2014 to 2022 in Sichuan Provincial People's Hospital (Chengdu, China). We found the leukocyte count, urea, and direct bilirubin in the DR patients were significantly increased (P < 0.001) compared with the controls. The ratios of aspartate aminotransferase/alanine transaminase, total bilirubin, indirect bilirubin, and red cell distribution width were lower in the DR patients than in the controls (P < 0.001). Notably, Red blood cell count (mean [SD] = 4.54 [0.67] 10E12/L, OR = 0.75) was significantly decreased (P < 0.001), and cystatin C level (mean [SD] = 1.42 [1.13] mg/L, OR = 1.90) was significantly increased in the DR patients compared with the controls (P < 0.001). However, these two indicators were not significantly different between the DM patients and the controls (P = 0.87 and P = 0.14, respectively). Our results showed that red blood cell count and cystatin C are specific biomarkers for DR patients.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2024-11-26
DOI
https://doi.org/10.1038/s41598-024-80797-1
Citations
2
Primary Topic
Retinal Diseases and Treatments
Type
article
Field-Weighted Citation Impact
1.08

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Red blood cell count and cystatin C as the specific biomarkers for diabetic retinopathy from diabetes mellitus: a case–control study

Mingyan Du, Huaping Tian, Hongxia Xu, Lulin Huang et al.
2 citations
Scientific Reports
Retinal Diseases and Treatments
1.08
article

Red blood cell count and cystatin C as the specific biomarkers for diabetic retinopathy from diabetes mellitus: a case–control study

Mingyan Du, Huaping Tian, Hongxia Xu, Lulin Huang, Zheng Li, Jie Li, Hao Fang, Chao Qu, Jie Zhong
article en
2 citations

Abstract

Diabetic retinopathy (DR) is a common microvascular complication of diabetes mellitus (DM). However, the blood physiological indicators for this eye disease are less reported. Here, we systemically investigated healthy controls, DR patients and DM patients from 2014 to 2022 in Sichuan Provincial People's Hospital (Chengdu, China). We found the leukocyte count, urea, and direct bilirubin in the DR patients were significantly increased (P < 0.001) compared with the controls. The ratios of aspartate aminotransferase/alanine transaminase, total bilirubin, indirect bilirubin, and red cell distribution width were lower in the DR patients than in the controls (P < 0.001). Notably, Red blood cell count (mean [SD] = 4.54 [0.67] 10E12/L, OR = 0.75) was significantly decreased (P < 0.001), and cystatin C level (mean [SD] = 1.42 [1.13] mg/L, OR = 1.90) was significantly increased in the DR patients compared with the controls (P < 0.001). However, these two indicators were not significantly different between the DM patients and the controls (P = 0.87 and P = 0.14, respectively). Our results showed that red blood cell count and cystatin C are specific biomarkers for DR patients.

Scientific ReportsVol. 14(1)
University of Electronic Science and Technology of China (CN), Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation, Department of Science and Technology of Sichuan Province
Good health and well-being
Openalex Percentile: Top 21%
Retinal Diseases and Treatments
1.08
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.