ReviewAnnals of translational medicine2020
New insights into diabetes mellitus and its complications: a narrative review.
Review in Annals of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
12 citing papers in PubMed, 27 citations in OpenAlex.
- Harnessing exosomal long non-coding RNAs as a new frontier for molecular diagnostics and therapeutics in diabetes mellitus.Cell communication and signaling : CCS · 2026Review
- Investigating the inflammatory mechanism of notoginsenoside R1 in Diabetic nephropathy via ITGB8 based on network pharmacology and experimental validation.Molecular medicine (Cambridge, Mass.) · 2024Article
- Improved Glycaemic Control and Nephroprotective Effects of Empagliflozin and Paricalcitol Co-Therapy in Mice with Type 2 Diabetes Mellitus.International journal of molecular sciences · 2023Article
- METTL14 promotes the development of diabetic kidney disease by regulating mActa diabetologica · 2023Article
- The Role of MicroRNA in the Pathogenesis of Diabetic Nephropathy.International journal of molecular sciences · 2023Review
- Article
- Establishment and validation of a nomogram for progression to diabetic foot ulcers in elderly diabetic patients.Frontiers in endocrinology · 2023Article
- Roles of long noncoding RNAs and small extracellular vesicle-long noncoding RNAs in type 2 diabetes.Traffic (Copenhagen, Denmark) · 2022Review
- Enhanced renoprotective actions of Paricalcitol and omega-3 fatty acids co-therapy against diabetic nephropathy in rat.Journal of advanced research · 2022Article
- Correlation between Blood Oxygen Level-Dependent Magnetic Resonance Imaging Images and Prognosis of Patients with Multicenter Diabetic Nephropathy on account of Artificial Intelligence Segmentation Algorithm.Computational and mathematical methods in medicine · 2022Article
- TIMP3 involvement and potentiality in the diagnosis, prognosis and treatment of diabetic nephropathy.Acta diabetologica · 2021Review
- Clinical significance of serum miR-129-5p in patients with diabetes mellitus presenting macrovascular complications.World journal of diabetes · 2021Article
Corrections and comments
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Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Diabetes is a metabolic disorder accompanied by complications of multiple organs and systems. Diabetic nephropathy (DN) is one of the most prevalent lethal complications of diabetes. Although numerous biomarkers have be clarified for early diagnosis of DN, renal biopsy is still the gold standard. As a noninvasive imaging diagnostic method, blood oxygen level-dependent (BOLD) MRI can help understand the kidney oxygenation status and fibrosis process and monitor the efficacy of new drugs for DN via monitoring renal blood oxygen levels. Recent studies have shown that noncoding RNAs including microRNAs (miRNAs), long noncoding RNAs (lncRNAs) and circular RNAs (circRNAs) were all involved in the development of DN, which could be exploited as therapeutic strategy to control DN. Dyslipidemia is also a common complication of diabetes. Apolipoprotein M (apoM), as a novel apolipoprotein, may be related to the development and progression of diabetes, which need to further investigation. Obstructive sleep apnea (OSA) is another common complication of diabetes and is an independent risk factor for cardiovascular disease (CVD). At present, there is no simple, effective and rapid diagnostic method to early identification of OSA in patients with diabetes. A nomogram consisted of waist-to-hip ratio, smoking status, body mass index, serum uric acid, HOMA-IR and history of fatty liver might be an alternative method to early assess the risk of OSA.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.