Novel biomarkers and therapeutic approaches for diabetic retinopathy and nephropathy: Recent progress and future perspectives

Xie, Ziyan; Xiao, Xinhua

doi:10.3389/fendo.2022.1065856

Cited by 7 publications

(4 citation statements)

References 122 publications

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“…Thus, multiple efforts have been made to explore new biomarkers for the early diagnosis of DKD. The potentical biomarkers of DKD studied in recent years included kidney injury molecule 1 (KIM-1), chemokines (such as CCL19, CCL5), multi-omics related biomarkers (such as CKD273 score, various miRNAs), and so on [ 21 ]. However, all have different limitations such as poor accuracy, sensitivity, reliability and convenience, which largely influence their clinial value, and none have presented better performance as a screening tool for DKD than albuminuria [ 4 ].…”

Section: Discussionmentioning

confidence: 99%

The automatic detection of diabetic kidney disease from retinal vascular parameters combined with clinical variables using artificial intelligence in type-2 diabetes patients

Shi,

Gao,

Zhang

et al. 2023

BMC Med Inform Decis Mak

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Background Diabetic kidney disease (DKD) has become the largest cause of end-stage kidney disease. Early and accurate detection of DKD is beneficial for patients. The present detection depends on the measurement of albuminuria or the estimated glomerular filtration rate, which is invasive and not optimal; therefore, new detection tools are urgently needed. Meanwhile, a close relationship between diabetic retinopathy and DKD has been reported; thus, we aimed to develop a novel detection algorithm for DKD using artificial intelligence technology based on retinal vascular parameters combined with several easily available clinical parameters in patients with type-2 diabetes. Methods A total of 515 consecutive patients with type-2 diabetes mellitus from Xiangyang Central Hospital were included. Patients were stratified by DKD diagnosis and split randomly into either the training set (70%, N = 360) or the testing set (30%, N = 155) (random seed = 1). Data from the training set were used to develop the machine learning algorithm (MLA), while those from the testing set were used to validate the MLA. Model performances were evaluated. Results The MLA using the random forest classifier presented optimal performance compared with other classifiers. When validated, the accuracy, sensitivity, specificity, F1 score, and AUC for the optimal model were 84.5%(95% CI 83.3–85.7), 84.5%(82.3–86.7), 84.5%(82.7–86.3), 0.845(0.831–0.859), and 0.914(0.903–0.925), respectively. Conclusions A new machine learning algorithm for DKD diagnosis based on fundus images and 8 easily available clinical parameters was developed, which indicated that retinal vascular changes can assist in DKD screening and detection.

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Section: Discussionmentioning

confidence: 99%

The automatic detection of diabetic kidney disease from retinal vascular parameters combined with clinical variables using artificial intelligence in type-2 diabetes patients

Shi,

Gao,

Zhang

et al. 2023

BMC Med Inform Decis Mak

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“…Diabetic retinopathy and nephropathy are strongly correlated and are marked by albuminuria [ 36 , 37 ]. In diabetes, the severity of retinopathy can predict the existence of nephropathy [ 37 , 38 ]. These two microvascular complications commonly encountered in diabetes gradually lead to blindness, renal failure and dialysis [ 1 ].…”

Section: Discussionmentioning

confidence: 99%

Improvement of microvascular complications in STZ-diabetic rats treated with Pterocarpus erinaceus Poir. extract

Atchou,

Lawson-Evi,

Eklu-Gadegbeku

2023

Biochemistry and Biophysics Reports

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“…Therefore, several studies have been performed to identify new molecular pathways or circulating biomarkers as new potential pharmacological tools in DR prevention and/or treatment. Among these, an important role as predictive and therapeutic targets in DR progression has been proposed for melanocortin receptors, retinol binding protein 3 (RBP3), angiopoietin-like 3 (ANGPTL3), microRNAs, extracellular vesicles, metabolites as 12hydroxyeicosatetraenoic acid and 2-piperidone, along with several mediators involved in the resolution of inflammation [21][22][23][24][25][26][27].…”

Section: Diabetic Retinopathy (Dr): An Overviewmentioning

confidence: 99%

Inhibition of Galectins and the P2X7 Purinergic Receptor as a Therapeutic Approach in the Neurovascular Inflammation of Diabetic Retinopathy

Lepre

Russo

Trotta

et al. 2023

IJMS

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Diabetic retinopathy (DR) is the most frequent microvascular retinal complication of diabetic patients, contributing to loss of vision. Recently, retinal neuroinflammation and neurodegeneration have emerged as key players in DR progression, and therefore, this review examines the neuroinflammatory molecular basis of DR. We focus on four important aspects of retinal neuroinflammation: (i) the exacerbation of endoplasmic reticulum (ER) stress; (ii) the activation of the NLRP3 inflammasome; (iii) the role of galectins; and (iv) the activation of purinergic 2X7 receptor (P2X7R). Moreover, this review proposes the selective inhibition of galectins and the P2X7R as a potential pharmacological approach to prevent the progression of DR.

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Novel biomarkers and therapeutic approaches for diabetic retinopathy and nephropathy: Recent progress and future perspectives

Cited by 7 publications

References 122 publications

The automatic detection of diabetic kidney disease from retinal vascular parameters combined with clinical variables using artificial intelligence in type-2 diabetes patients

The automatic detection of diabetic kidney disease from retinal vascular parameters combined with clinical variables using artificial intelligence in type-2 diabetes patients

Improvement of microvascular complications in STZ-diabetic rats treated with Pterocarpus erinaceus Poir. extract

Inhibition of Galectins and the P2X7 Purinergic Receptor as a Therapeutic Approach in the Neurovascular Inflammation of Diabetic Retinopathy

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