1
|
Zhang Y, Wu X, Yao W, Ni Y, Ding X. Advances of traditional Chinese medicine preclinical mechanisms and clinical studies on diabetic peripheral neuropathy. PHARMACEUTICAL BIOLOGY 2024; 62:544-561. [PMID: 38946248 PMCID: PMC11218592 DOI: 10.1080/13880209.2024.2369301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/08/2024] [Accepted: 06/06/2024] [Indexed: 07/02/2024]
Abstract
CONTEXT Diabetic peripheral neuropathy (DPN) results in an enormous burden and reduces the quality of life for patients. Considering there is no specific drug for the management of DPN, traditional Chinese medicine (TCM) has increasingly drawn attention of clinicians and researchers around the world due to its characteristics of multiple targets, active components, and exemplary safety. OBJECTIVE To summarize the current status of TCM in the treatment of DPN and provide directions for novel drug development, the clinical effects and potential mechanisms of TCM used in treating DPN were comprehensively reviewed. METHODS Existing evidence on TCM interventions for DPN was screened from databases such as PubMed, the Cochrane Neuromuscular Disease Group Specialized Register (CENTRAL), and the Chinese National Knowledge Infrastructure Database (CNKI). The focus was on summarizing and analyzing representative preclinical and clinical TCM studies published before 2023. RESULTS This review identified the ameliorative effects of about 22 single herbal extracts, more than 30 herbal compound prescriptions, and four Chinese patent medicines on DPN in preclinical and clinical research. The latest advances in the mechanism highlight that TCM exerts its beneficial effects on DPN by inhibiting inflammation, oxidative stress and apoptosis, endoplasmic reticulum stress and improving mitochondrial function. CONCLUSIONS TCM has shown the power latent capacity in treating DPN. It is proposed that more large-scale and multi-center randomized controlled clinical trials and fundamental experiments should be conducted to further verify these findings.
Collapse
Affiliation(s)
- Yuna Zhang
- School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, China
| | - Xianglong Wu
- School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, China
| | - Wenhui Yao
- School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, China
| | - Yadong Ni
- School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, China
| | - Xuansheng Ding
- School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, China
- Precision Medicine Laboratory, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, China
| |
Collapse
|
2
|
Zhong J, Li X, Yuan M, Chen D, Li Y, Lian X, Wang M. Metabolomics study of serum from patients with type 2 diabetes: Peripheral neuropathy could be associated with sphingosine and phospholipid molecules. Lipids 2024. [PMID: 39243215 DOI: 10.1002/lipd.12412] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2024] [Revised: 08/02/2024] [Accepted: 08/09/2024] [Indexed: 09/09/2024]
Abstract
Abnormal lipid metabolism is one of the risk factors for type 2 diabetes mellitus peripheral neuropathy (DPN). This study aimed to determine the differences in lipid metabolism in patients with type 2 diabetes and DPN and the possible pathogenesis caused by this difference. The participants comprised type 2 diabetes mellitus patients with DPN (N = 60) and healthy controls (N = 20). Blood samples were drawn from the participants in the morning in the fasting state, and then changes in serum lipids were explored using targeted metabolomics on the liquid chromatography-electrospray ionization-tandem mass spectrometry platform. Among the 1768 differentially abundant lipid metabolites, the results of orthogonal partial least squares-discriminant analysis combined with random forest analysis showed that the levels of sphingosine (SPH) (d18:0), carnitine 22:1, lysophosphatidylethanolamine (LPE) (18:0/0:0), LPC (16:0/0:0), lysophosphatidylcholine (LPC) (18:1/0:0), LPC (0:0/18:0) and LPE (0:0/18:1) were significantly different between the two groups. Spearman correlation analysis showed that SPH (d18:0), carnitine 22:1, LPE (18:0/0:0), and LPC (0:0/18:0) levels correlated highly with the patients' electromyography results. Kyoto Encyclopedia of Genes and Genomes pathway annotation and enrichment analysis of 538 differentially abundant lipid metabolites revealed that type 2 diabetes mellitus DPN was related to glycerophospholipid metabolism and glycerol metabolism. Our results further identified the dangerous lipid metabolites associated with DPN and abnormal lipid metabolism. The influence of lipid metabolites such as SPH and phospholipid molecules on DPN development in patients with type 2 diabetes mellitus were suggested and the possible pathogenic pathways were clarified, providing new insights into the clinical risk of DPN in patients with type 2 diabetes mellitus.
Collapse
Affiliation(s)
- Jingchen Zhong
- Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province of Chinese Medicine, Nanjing, China
| | - Xiaojie Li
- College of Integrative Chinese and Western Medicine, Jiangsu Health Vocational College, Nanjing, China
| | - Mengqian Yuan
- Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province of Chinese Medicine, Nanjing, China
| | - Dong Chen
- Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province of Chinese Medicine, Nanjing, China
| | - Yancai Li
- Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province of Chinese Medicine, Nanjing, China
| | - Xiaoyang Lian
- Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province of Chinese Medicine, Nanjing, China
| | - Ming Wang
- Department of Acupuncture and Massage, Jiangsu Province Official Hospital, Nanjing, China
| |
Collapse
|
3
|
Yu Z, Yang J, Jiang Y, Wei M, Lyu Y, Yang D, Shen S, Han Y, Li M. Metabolomic and lipidomic profiling of the spinal cord in type 2 diabetes mellitus rats with painful neuropathy. Metab Brain Dis 2024; 39:1117-1130. [PMID: 38980579 PMCID: PMC11349861 DOI: 10.1007/s11011-024-01376-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Accepted: 07/02/2024] [Indexed: 07/10/2024]
Abstract
In this paper we investigated lipid and metabolite changes in diabetic neuropathy, using untargeted lipidomics and metabolomics analyses of the spinal cords from streptozotocin-treated diabetic rats.170 metabolites and 45 lipids were dysregulated in the painful diabetic neuropathy (PDN) phase. Pathway enrichment analysis revealed perturbations in starch and sucrose, tryptophan, pyrimidine, cysteine and methionine, thiamine, tyrosine, and nucleotides. The disturbance of tyrosine, tryptophan, methionine, triacylglycerol, and phosphatidylethanolamine metabolism indicated that pathological mechanisms in the PDN involved energy metabolism, oxidative stress, and neural reparative regeneration. These revelations offered potential biomarkers for PDN and enriched the comprehension of the complex molecular mechanisms characterizing PDN, establishing a solid foundation for subsequent inquiries into neural convalescence and recovery after PDN.
Collapse
Affiliation(s)
- Zhuoying Yu
- Department of Anesthesiology, Peking University Third Hospital, Beijing, 100191, China
| | - Jing Yang
- Department of Anesthesiology, Peking University Third Hospital, Beijing, 100191, China
| | - Ye Jiang
- Department of Anesthesiology, Peking University Third Hospital, Beijing, 100191, China
| | - Min Wei
- Department of Anesthesiology, Peking University Third Hospital, Beijing, 100191, China
| | - Yanhan Lyu
- Department of Anesthesiology, Peking University Third Hospital, Beijing, 100191, China
| | - Dongsheng Yang
- Department of Anesthesiology, Peking University Third Hospital, Beijing, 100191, China
| | - Shixiong Shen
- Department of Anesthesiology, Peking University Third Hospital, Beijing, 100191, China
| | - Yongzheng Han
- Department of Anesthesiology, Peking University Third Hospital, Beijing, 100191, China.
| | - Min Li
- Department of Anesthesiology, Peking University Third Hospital, Beijing, 100191, China.
| |
Collapse
|
4
|
Zhang F, Shan S, Fu C, Guo S, Liu C, Wang S. Advanced Mass Spectrometry-Based Biomarker Identification for Metabolomics of Diabetes Mellitus and Its Complications. Molecules 2024; 29:2530. [PMID: 38893405 PMCID: PMC11173766 DOI: 10.3390/molecules29112530] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2024] [Revised: 04/15/2024] [Accepted: 04/16/2024] [Indexed: 06/21/2024] Open
Abstract
Over the years, there has been notable progress in understanding the pathogenesis and treatment modalities of diabetes and its complications, including the application of metabolomics in the study of diabetes, capturing attention from researchers worldwide. Advanced mass spectrometry, including gas chromatography-tandem mass spectrometry (GC-MS/MS), liquid chromatography-tandem mass spectrometry (LC-MS/MS), and ultra-performance liquid chromatography coupled to electrospray ionization quadrupole time-of-flight mass spectrometry (UPLC-ESI-Q-TOF-MS), etc., has significantly broadened the spectrum of detectable metabolites, even at lower concentrations. Advanced mass spectrometry has emerged as a powerful tool in diabetes research, particularly in the context of metabolomics. By leveraging the precision and sensitivity of advanced mass spectrometry techniques, researchers have unlocked a wealth of information within the metabolome. This technology has enabled the identification and quantification of potential biomarkers associated with diabetes and its complications, providing new ideas and methods for clinical diagnostics and metabolic studies. Moreover, it offers a less invasive, or even non-invasive, means of tracking disease progression, evaluating treatment efficacy, and understanding the underlying metabolic alterations in diabetes. This paper summarizes advanced mass spectrometry for the application of metabolomics in diabetes mellitus, gestational diabetes mellitus, diabetic peripheral neuropathy, diabetic retinopathy, diabetic nephropathy, diabetic encephalopathy, diabetic cardiomyopathy, and diabetic foot ulcers and organizes some of the potential biomarkers of the different complications with the aim of providing ideas and methods for subsequent in-depth metabolic research and searching for new ways of treating the disease.
Collapse
Affiliation(s)
- Feixue Zhang
- Hubei Key Laboratory of Diabetes and Angiopathy, Medicine Research Institute, Medical College, Hubei University of Science and Technology, Xianning 437100, China; (F.Z.); (C.F.); (S.G.)
| | - Shan Shan
- College of Life Science, National R&D Center for Freshwater Fish Processing, Jiangxi Normal University, Nanchang 330022, China;
| | - Chenlu Fu
- Hubei Key Laboratory of Diabetes and Angiopathy, Medicine Research Institute, Medical College, Hubei University of Science and Technology, Xianning 437100, China; (F.Z.); (C.F.); (S.G.)
- School of Pharmacy, Medical College, Hubei University of Science and Technology, Xianning 437100, China
| | - Shuang Guo
- Hubei Key Laboratory of Diabetes and Angiopathy, Medicine Research Institute, Medical College, Hubei University of Science and Technology, Xianning 437100, China; (F.Z.); (C.F.); (S.G.)
| | - Chao Liu
- Hubei Key Laboratory of Diabetes and Angiopathy, Medicine Research Institute, Medical College, Hubei University of Science and Technology, Xianning 437100, China; (F.Z.); (C.F.); (S.G.)
| | - Shuanglong Wang
- Jiangxi Key Laboratory for Mass Spectrometry and Instrumentation, East China University of Technology, Nanchang 330013, China
| |
Collapse
|
5
|
Barranco-Altirriba M, Alonso N, Weber RJM, Lloyd GR, Hernandez M, Yanes O, Capellades J, Jankevics A, Winder C, Falguera M, Franch-Nadal J, Dunn WB, Perera-Lluna A, Castelblanco E, Mauricio D. Lipidome characterisation and sex-specific differences in type 1 and type 2 diabetes mellitus. Cardiovasc Diabetol 2024; 23:109. [PMID: 38553758 PMCID: PMC10981308 DOI: 10.1186/s12933-024-02202-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Accepted: 03/14/2024] [Indexed: 04/01/2024] Open
Abstract
BACKGROUND In this study, we evaluated the lipidome alterations caused by type 1 diabetes (T1D) and type 2 diabetes (T2D), by determining lipids significantly associated with diabetes overall and in both sexes, and lipids associated with the glycaemic state. METHODS An untargeted lipidomic analysis was performed to measure the lipid profiles of 360 subjects (91 T1D, 91 T2D, 74 with prediabetes and 104 controls (CT)) without cardiovascular and/or chronic kidney disease. Ultra-high performance liquid chromatography-electrospray ionization mass spectrometry (UHPLC-ESI-MS) was conducted in two ion modes (positive and negative). We used multiple linear regression models to (1) assess the association between each lipid feature and each condition, (2) determine sex-specific differences related to diabetes, and (3) identify lipids associated with the glycaemic state by considering the prediabetes stage. The models were adjusted by sex, age, hypertension, dyslipidaemia, body mass index, glucose, smoking, systolic blood pressure, triglycerides, HDL cholesterol, LDL cholesterol, alternate Mediterranean diet score (aMED) and estimated glomerular filtration rate (eGFR); diabetes duration and glycated haemoglobin (HbA1c) were also included in the comparison between T1D and T2D. RESULTS A total of 54 unique lipid subspecies from 15 unique lipid classes were annotated. Lysophosphatidylcholines (LPC) and ceramides (Cer) showed opposite effects in subjects with T1D and subjects with T2D, LPCs being mainly up-regulated in T1D and down-regulated in T2D, and Cer being up-regulated in T2D and down-regulated in T1D. Also, Phosphatidylcholines were clearly down-regulated in subjects with T1D. Regarding sex-specific differences, ceramides and phosphatidylcholines exhibited important diabetes-associated differences due to sex. Concerning the glycaemic state, we found a gradual increase of a panel of 1-deoxyceramides from normoglycemia to prediabetes to T2D. CONCLUSIONS Our findings revealed an extensive disruption of lipid metabolism in both T1D and T2D. Additionally, we found sex-specific lipidome changes associated with diabetes, and lipids associated with the glycaemic state that can be linked to previously described molecular mechanisms in diabetes.
Collapse
Affiliation(s)
- Maria Barranco-Altirriba
- Department of Endocrinology & Nutrition, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
- Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial, Universitat Politècnica de Catalunya, B2SLab, Barcelona, Spain
- Networking Biomedical Research Centre in the subject area of Bioengineering, Biomaterials and Nanomedicine, CIBER-BBN), Madrid, Spain
- Institut de Recerca Sant Joan de Déu, Esplugues de Llobregat, Barcelona, Spain
| | - Núria Alonso
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas, Instituto de Salud Carlos III, Barcelona, Spain
- Servicio de Endocrinología y Nutrición, Hospital Universitario e Instituto de Investigación en Ciencias de la Salud Germans Trias i Pujol, Badalona, Barcelona, Spain
- Departament de Medicina, Universitat Autònoma de Barcelona (UAB), Barcelona, Spain
| | - Ralf J M Weber
- School of Biosciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
- Phenome Centre Birmingham, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
- Institute of Metabolism and Systems Research, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
| | - Gavin R Lloyd
- School of Biosciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
- Phenome Centre Birmingham, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
- Institute of Metabolism and Systems Research, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
| | - Marta Hernandez
- Department of Endocrinology & Nutrition, Hospital Universitari Arnau de Vilanova, Institut de Recerca Biomèdica de Lleida (IRBLleida), Lleida, Spain
| | - Oscar Yanes
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas, Instituto de Salud Carlos III, Barcelona, Spain
- Department of Electronic Engineering, Universitat Rovira i Virgili, IISPV, Tarragona, Spain
| | - Jordi Capellades
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas, Instituto de Salud Carlos III, Barcelona, Spain
- Institut Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
| | - Andris Jankevics
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research, Utrecht Institute for Pharmaceutical Sciences, University of Utrecht, Utrecht, The Netherlands
- Netherlands Proteomics Center, Utrecht, The Netherlands
| | - Catherine Winder
- School of Biosciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
- Phenome Centre Birmingham, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
- Centre for Metabolomics Research, Department of Biochemistry, Cell and Systems Biology, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, L69 7ZB, Liverpool, UK
| | - Mireia Falguera
- Institut d'Investigació Biomèdica, Centre Atenció Primària Cervera, Gerència d'Atenció Primària, Universitat de Lleida, Institut Català de la Salut, Lleida, Spain
| | - Josep Franch-Nadal
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas, Instituto de Salud Carlos III, Barcelona, Spain
- DAP-Cat Group, Unitat de Suport a La Recerca Barcelona Ciutat, Institut Universitari d'Investigació en Atenció Primària Jordi Gol, Barcelona, Spain
| | - Warwick B Dunn
- School of Biosciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
- Phenome Centre Birmingham, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
- Centre for Metabolomics Research, Department of Biochemistry, Cell and Systems Biology, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, L69 7ZB, Liverpool, UK
| | - Alexandre Perera-Lluna
- Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial, Universitat Politècnica de Catalunya, B2SLab, Barcelona, Spain
- Networking Biomedical Research Centre in the subject area of Bioengineering, Biomaterials and Nanomedicine, CIBER-BBN), Madrid, Spain
- Institut de Recerca Sant Joan de Déu, Esplugues de Llobregat, Barcelona, Spain
| | - Esmeralda Castelblanco
- Division of Endocrinology, Metabolism and Lipid Research, Department of Internal Medicine, Washington University School of Medicine, 63110, St. Louis, MO, USA.
- Unitat de Suport a la Recerca Barcelona, Institut Universitari d'Investigació en Atenció Primària Jordi Gol i Gurina, 08007, Barcelona, Spain.
| | - Didac Mauricio
- Department of Endocrinology & Nutrition, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas, Instituto de Salud Carlos III, Barcelona, Spain.
- Institut d'Investigació Biomèdica Sant Pau (IR Sant Pau), 08041, Barcelona, Spain.
- Faculty of Medicine, University of Vic, Vic, Spain.
| |
Collapse
|
6
|
Anastasiou G, Liberopoulos E, Tentolouris N, Papanas N. Diabetic Sensorimotor Polyneuropathy: An Overview on Epidemiology, Risk Factors, Classification, Diagnosis, and Treatment. INT J LOW EXTR WOUND 2024:15347346241240513. [PMID: 38533581 DOI: 10.1177/15347346241240513] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/28/2024]
Abstract
Diabetic distal symmetric sensorimotor polyneuropathy (DSPN) is a common complication of diabetes with devastating consequences. Hyperglycaemia is the major aetiological factor, while emerging data demonstrate that cardiometabolic risk factors also contribute to its development. Diagnosis of DSPN involves interview of medical and neurological history, foot inspection, and sensory and motor function examination with specific tests such as temperature and pinprick perception for small nerve fibers, and vibration and light touch assessments for large nerve fibers. Management includes optimised glycaemic control, treatment of cardiovascular risk factors, and symptomatic treatment aiming at improving life quality. This article provides an overview on epidemiology, risk factors, classification, diagnosis and current treatment of DSPN.
Collapse
Affiliation(s)
- Georgia Anastasiou
- Department of Internal Medicine, Faculty of Medicine, University of Ioannina, Ioannina, Greece
| | - Evangelos Liberopoulos
- First Propedeutic Department of Medicine, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Nikolaos Tentolouris
- First Propedeutic Department of Medicine, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Nikolaos Papanas
- Diabetes Centre-Diabetic Foot Clinic, Second Department of Internal Medicine, Democritus University of Thrace, Alexandroupolis, Greece
| |
Collapse
|
7
|
Latini A, Benedittis GD, Ciccacci C, Novelli G, Spallone V, Borgiani P. Low expression levels of miRNA-155 and miRNA-499a are associated with obesity in Type 2 diabetes. Epigenomics 2024; 16:85-91. [PMID: 38221897 DOI: 10.2217/epi-2023-0320] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2024] Open
Abstract
Background & aims: This study investigated a possible correlation between three circulating miRNAs, previously observed to be associated to diabetic polyneuropathy, and the obesity condition. Methods & results: The expression levels of miR-128a, miR-155 and miR499a were evaluated in 49 participants with Type 2 diabetes, divided into different groups based on the presence or absence of obesity and central obesity. The analyses revealed a significant decrease of miR-155 and miR-499a expression levels in obese subjects. In particular, the reduction appears to be even more significant in Type 2 diabetes subjects with central obesity. Conclusion: The results suggest that these miRNAs could be involved in obesity-driven pathogenetic mechanisms.
Collapse
Affiliation(s)
- Andrea Latini
- Department of Biomedicine & Prevention, Genetics Section, University of Rome Tor Vergata, Rome, 00133, Italy
| | - Giada De Benedittis
- Department of Biomedicine & Prevention, Genetics Section, University of Rome Tor Vergata, Rome, 00133, Italy
| | - Cinzia Ciccacci
- UniCamillus, Saint Camillus International University of Health Sciences, Rome, 00131, Italy
| | - Giuseppe Novelli
- Department of Biomedicine & Prevention, Genetics Section, University of Rome Tor Vergata, Rome, 00133, Italy
- IRCCS NEUROMED, Pozzilli, IS, 86077, Italy
- School of Medicine, Department of Pharmacology, Reno University of Nevada, NV 89557, USA
| | - Vincenza Spallone
- Department of Systems Medicine, Endocrinology Section, University of Rome Tor Vergata, Rome, 00133, Italy
| | - Paola Borgiani
- Department of Biomedicine & Prevention, Genetics Section, University of Rome Tor Vergata, Rome, 00133, Italy
| |
Collapse
|
8
|
Xourafa G, Korbmacher M, Roden M. Inter-organ crosstalk during development and progression of type 2 diabetes mellitus. Nat Rev Endocrinol 2024; 20:27-49. [PMID: 37845351 DOI: 10.1038/s41574-023-00898-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/29/2023] [Indexed: 10/18/2023]
Abstract
Type 2 diabetes mellitus (T2DM) is characterized by tissue-specific insulin resistance and pancreatic β-cell dysfunction, which result from the interplay of local abnormalities within different tissues and systemic dysregulation of tissue crosstalk. The main local mechanisms comprise metabolic (lipid) signalling, altered mitochondrial metabolism with oxidative stress, endoplasmic reticulum stress and local inflammation. While the role of endocrine dysregulation in T2DM pathogenesis is well established, other forms of inter-organ crosstalk deserve closer investigation to better understand the multifactorial transition from normoglycaemia to hyperglycaemia. This narrative Review addresses the impact of certain tissue-specific messenger systems, such as metabolites, peptides and proteins and microRNAs, their secretion patterns and possible alternative transport mechanisms, such as extracellular vesicles (exosomes). The focus is on the effects of these messengers on distant organs during the development of T2DM and progression to its complications. Starting from the adipose tissue as a major organ relevant to T2DM pathophysiology, the discussion is expanded to other key tissues, such as skeletal muscle, liver, the endocrine pancreas and the intestine. Subsequently, this Review also sheds light on the potential of multimarker panels derived from these biomarkers and related multi-omics for the prediction of risk and progression of T2DM, novel diabetes mellitus subtypes and/or endotypes and T2DM-related complications.
Collapse
Affiliation(s)
- Georgia Xourafa
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research, Partner Düsseldorf, München-Neuherberg, Düsseldorf, Germany
| | - Melis Korbmacher
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research, Partner Düsseldorf, München-Neuherberg, Düsseldorf, Germany
| | - Michael Roden
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany.
- German Center for Diabetes Research, Partner Düsseldorf, München-Neuherberg, Düsseldorf, Germany.
- Department of Endocrinology and Diabetology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany.
| |
Collapse
|
9
|
ElSayed NA, Aleppo G, Bannuru RR, Bruemmer D, Collins BS, Ekhlaspour L, Gibbons CH, Giurini JM, Hilliard ME, Johnson EL, Khunti K, Lingvay I, Matfin G, McCoy RG, Perry ML, Pilla SJ, Polsky S, Prahalad P, Pratley RE, Segal AR, Seley JJ, Silva PS, Stanton RC, Gabbay RA. 12. Retinopathy, Neuropathy, and Foot Care: Standards of Care in Diabetes-2024. Diabetes Care 2024; 47:S231-S243. [PMID: 38078577 PMCID: PMC10725803 DOI: 10.2337/dc24-s012] [Citation(s) in RCA: 22] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, an interprofessional expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
Collapse
|
10
|
Chang KH, Chen CM, Lin CN, Tsai SS, Lyu RK, Chu CC, Ro LS, Liao MF, Chang HS, Weng YC, Hwang JS, Kuo HC. Identification of blood metabolic biomarkers associated with diabetic distal symmetric sensorimotor polyneuropathy in patients with type 2 diabetes mellitus. J Peripher Nerv Syst 2023; 28:651-663. [PMID: 37831393 DOI: 10.1111/jns.12600] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2023] [Revised: 10/06/2023] [Accepted: 10/12/2023] [Indexed: 10/14/2023]
Abstract
BACKGROUND Distal symmetric sensorimotor polyneuropathy (DSPN) is a common neurologic complication of type 2 diabetes mellitus (T2DM), but the underlying mechanisms and changes in serum metabolites remain largely undefined. This study aimed to characterize the plasma metabolite profiles of participants with T2DM using targeted metabolomics analysis and identify potential biomarkers for DSPN. METHODS A combined liquid chromatography MS/MS and direct flow injection were used to quantify plasma metabolite obtained from 63 participants with T2DM, 81 with DSPN, and 33 nondiabetic control participants. A total of 130 metabolites, including amino acids, biogenic amines, sphingomyelins (SM), phosphatidylcholines, carnitines, and hexose, were analyzed. RESULTS A total of 16 plasma metabolites and 3 cholesterol-related laboratory parameters were found to have variable importance in the projection score >1.0 and false discovery rate <5.0% between control, T2DM, and DSPN. Among these variables, five serum metabolites, including phenylalanine (AUC = 0.653), alanine (AUC = 0.630), lysine (AUC = 0.622) tryptophan (AUC = 0.620), and SM C16:0 (AUC = 0.630), are potential biomarkers (all p < .05) in distinguishing T2DM with DSPN from those without (AUC = 0.720). CONCLUSIONS In this cross-sectional study, derangement of several metabolites in the plasma was observed in T2DM with and without DSPN, and these metabolites may be potential biomarkers for predicting DSPN. Longitudinal studies are warranted.
Collapse
Affiliation(s)
- Kuo-Hsuan Chang
- Department of Neurology, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan City, Taiwan
- College of Medicine, Chang Gung University, Taoyuan City, Taiwan
| | - Chiung-Mei Chen
- Department of Neurology, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan City, Taiwan
- College of Medicine, Chang Gung University, Taoyuan City, Taiwan
| | - Chia-Ni Lin
- Department of Laboratory Medicine, Chang Gung Memorial Hospital, Taoyuan City, Taiwan
- Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan City, Taiwan
| | - Sung-Sheng Tsai
- College of Medicine, Chang Gung University, Taoyuan City, Taiwan
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan City, Taiwan
| | - Rong-Kuo Lyu
- Department of Neurology, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan City, Taiwan
- College of Medicine, Chang Gung University, Taoyuan City, Taiwan
| | - Chun-Che Chu
- Department of Neurology, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan City, Taiwan
- College of Medicine, Chang Gung University, Taoyuan City, Taiwan
| | - Long-Sun Ro
- Department of Neurology, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan City, Taiwan
- College of Medicine, Chang Gung University, Taoyuan City, Taiwan
| | - Ming-Feng Liao
- Department of Neurology, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan City, Taiwan
- College of Medicine, Chang Gung University, Taoyuan City, Taiwan
| | - Hong-Shiu Chang
- Department of Neurology, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan City, Taiwan
- College of Medicine, Chang Gung University, Taoyuan City, Taiwan
| | - Yi-Ching Weng
- Department of Neurology, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan City, Taiwan
- College of Medicine, Chang Gung University, Taoyuan City, Taiwan
| | - Jawl-Shan Hwang
- College of Medicine, Chang Gung University, Taoyuan City, Taiwan
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan City, Taiwan
| | - Hung-Chou Kuo
- Department of Neurology, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan City, Taiwan
- College of Medicine, Chang Gung University, Taoyuan City, Taiwan
| |
Collapse
|
11
|
Elzinga SE, Eid SA, McGregor BA, Jang DG, Hinder LM, Dauch JR, Hayes JM, Zhang H, Guo K, Pennathur S, Kretzler M, Brosius FC, Koubek EJ, Feldman EL, Hur J. Transcriptomic analysis of diabetic kidney disease and neuropathy in mouse models of type 1 and type 2 diabetes. Dis Model Mech 2023; 16:dmm050080. [PMID: 37791586 PMCID: PMC10565109 DOI: 10.1242/dmm.050080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Accepted: 04/26/2023] [Indexed: 10/05/2023] Open
Abstract
Diabetic kidney disease (DKD) and diabetic peripheral neuropathy (DPN) are common complications of type 1 (T1D) and type 2 (T2D) diabetes. However, the mechanisms underlying pathogenesis of these complications are unclear. In this study, we optimized a streptozotocin-induced db/+ murine model of T1D and compared it to our established db/db T2D mouse model of the same C57BLKS/J background. Glomeruli and sciatic nerve transcriptomic data from T1D and T2D mice were analyzed by self-organizing map and differential gene expression analysis. Consistent with prior literature, pathways related to immune function and inflammation were dysregulated in both complications in T1D and T2D mice. Gene-level analysis identified a high degree of concordance in shared differentially expressed genes (DEGs) in both complications and across diabetes type when using mice from the same cohort and genetic background. As we have previously shown a low concordance of shared DEGs in DPN when using mice from different cohorts and genetic backgrounds, this suggests that genetic background may influence diabetic complications. Collectively, these findings support the role of inflammation and indicate that genetic background is important in complications of both T1D and T2D.
Collapse
Affiliation(s)
- Sarah E. Elzinga
- Department of Neurology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Stephanie A. Eid
- Department of Neurology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Brett A. McGregor
- Department of Biomedical Sciences, University of North Dakota School of Medicine and Health Sciences, Grand Forks, ND 58202, USA
| | - Dae-Gyu Jang
- Department of Neurology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Lucy M. Hinder
- Department of Neurology, University of Michigan, Ann Arbor, MI 48109, USA
| | | | - John M. Hayes
- Department of Neurology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Hongyu Zhang
- Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA
| | - Kai Guo
- Department of Neurology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Subramaniam Pennathur
- Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA
- Department of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Matthias Kretzler
- Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Frank C. Brosius
- Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA
- Department of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, MI 48109, USA
- Department of Medicine, University of Arizona, Tucson, AZ 85721, USA
| | - Emily J. Koubek
- Department of Neurology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Eva L. Feldman
- Department of Neurology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Junguk Hur
- Department of Biomedical Sciences, University of North Dakota School of Medicine and Health Sciences, Grand Forks, ND 58202, USA
| |
Collapse
|
12
|
Eid SA, Rumora AE, Beirowski B, Bennett DL, Hur J, Savelieff MG, Feldman EL. New perspectives in diabetic neuropathy. Neuron 2023; 111:2623-2641. [PMID: 37263266 PMCID: PMC10525009 DOI: 10.1016/j.neuron.2023.05.003] [Citation(s) in RCA: 29] [Impact Index Per Article: 29.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2023] [Revised: 04/20/2023] [Accepted: 05/03/2023] [Indexed: 06/03/2023]
Abstract
Diabetes prevalence continues to climb with the aging population. Type 2 diabetes (T2D), which constitutes most cases, is metabolically acquired. Diabetic peripheral neuropathy (DPN), the most common microvascular complication, is length-dependent damage to peripheral nerves. DPN pathogenesis is complex, but, at its core, it can be viewed as a state of impaired metabolism and bioenergetics failure operating against the backdrop of long peripheral nerve axons supported by glia. This unique peripheral nerve anatomy and the injury consequent to T2D underpins the distal-to-proximal symptomatology of DPN. Earlier work focused on the impact of hyperglycemia on nerve damage and bioenergetics failure, but recent evidence additionally implicates contributions from obesity and dyslipidemia. This review will cover peripheral nerve anatomy, bioenergetics, and glia-axon interactions, building the framework for understanding how hyperglycemia and dyslipidemia induce bioenergetics failure in DPN. DPN and painful DPN still lack disease-modifying therapies, and research on novel mechanism-based approaches is also covered.
Collapse
Affiliation(s)
- Stephanie A Eid
- Department of Neurology, University of Michigan, Ann Arbor, MI 48109, USA; NeuroNetwork for Emerging Therapies, University of Michigan, Ann Arbor, MI 48109, USA
| | - Amy E Rumora
- Department of Neurology, Columbia University, New York, NY 10032, USA
| | - Bogdan Beirowski
- Department of Neurology, The Ohio State University Wexner Medical Center, Columbus, OH 43210, USA; Neuroscience Research Institute, The Ohio State University Wexner Medical Center, Columbus, OH 43210, USA
| | - David L Bennett
- Nuffield Department of Clinical Neuroscience, University of Oxford, Oxford OX3 9DU, UK
| | - Junguk Hur
- Department of Biomedical Sciences, University of North Dakota, Grand Forks, ND 58202, USA
| | - Masha G Savelieff
- Department of Biomedical Sciences, University of North Dakota, Grand Forks, ND 58202, USA
| | - Eva L Feldman
- Department of Neurology, University of Michigan, Ann Arbor, MI 48109, USA; NeuroNetwork for Emerging Therapies, University of Michigan, Ann Arbor, MI 48109, USA.
| |
Collapse
|
13
|
Xu J, Chen Q, Cai M, Han X, Lu H. Ultra-high performance liquid chromatography coupled to tandem mass spectrometry-based metabolomics study of diabetic distal symmetric polyneuropathy. J Diabetes Investig 2023; 14:1110-1120. [PMID: 37347226 PMCID: PMC10445193 DOI: 10.1111/jdi.14041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Revised: 05/17/2023] [Accepted: 05/29/2023] [Indexed: 06/23/2023] Open
Abstract
AIMS/INTRODUCTION Distal symmetric polyneuropathy (DSPN) is a common complication of type 2 diabetes mellitus, but the underlining mechanisms have not yet been elucidated. The current study was designed to screen the feature metabolites classified as potential biomarkers, and to provide deeper insights into the underlying distinctive metabolic changes during disease progression. MATERIALS AND METHODS Plasma metabolite profiles were obtained by the ultra-high liquid chromatography coupled to tandem mass spectrometry method from healthy control participants, patients with type 2 diabetes mellitus and patients with DSPN. Potential biomarkers were selected through comprehensive analysis of statistically significant differences between groups. RESULTS Overall, 938 metabolites were identified. Among them, 12 metabolites (dimethylarginine, N6-acetyllysine, N-acetylhistidine, N,N,N-trimethyl-alanylproline betaine, cysteine, 7-methylguanine, N6-carbamoylthreonyladenosine, pseudouridine, 5-methylthioadenosine, N2,N2-dimethylguanosine, aconitate and C-glycosyl tryptophan) were identified as the specific biomarkers. The content of 12 metabolites were significantly higher in the DSPN group compared with the other two groups. Additionally, they showed good performance to discriminate the DSPN state. Correlation analyses showed that the levels of 12 metabolites might be more closely related to the glucose metabolic changes, followed by the levels of lipid metabolism. CONCLUSIONS The finding of the 12 signature metabolites might provide a novel perspective for the pathogenesis of DSPN. Future studies are required to test this observation further.
Collapse
Affiliation(s)
- Jiahui Xu
- Department of EndocrinologyShuguang Hospital Affiliated to Shanghai University of Traditional Chinese MedicineShanghaiChina
| | - Qingguang Chen
- Department of EndocrinologyShuguang Hospital Affiliated to Shanghai University of Traditional Chinese MedicineShanghaiChina
| | - Mengjie Cai
- Department of EndocrinologyShuguang Hospital Affiliated to Shanghai University of Traditional Chinese MedicineShanghaiChina
| | - Xu Han
- Department of EndocrinologyShuguang Hospital Affiliated to Shanghai University of Traditional Chinese MedicineShanghaiChina
| | - Hao Lu
- Department of EndocrinologyShuguang Hospital Affiliated to Shanghai University of Traditional Chinese MedicineShanghaiChina
| |
Collapse
|
14
|
Eid SA, O’Brien PD, Kretzler KH, Jang DG, Mendelson FE, Hayes JM, Carter A, Zhang H, Pennathur S, Brosius FC, Koubek EJ, Feldman EL. Dietary interventions improve diabetic kidney disease, but not peripheral neuropathy, in a db/db mouse model of type 2 diabetes. FASEB J 2023; 37:e23115. [PMID: 37490006 PMCID: PMC10372884 DOI: 10.1096/fj.202300354r] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Revised: 07/05/2023] [Accepted: 07/13/2023] [Indexed: 07/26/2023]
Abstract
Patients with type 2 diabetes often develop the microvascular complications of diabetic kidney disease (DKD) and diabetic peripheral neuropathy (DPN), which decrease quality of life and increase mortality. Unfortunately, treatment options for DKD and DPN are limited. Lifestyle interventions, such as changes to diet, have been proposed as non-pharmacological treatment options for preventing or improving DKD and DPN. However, there are no reported studies simultaneously evaluating the therapeutic efficacy of varying dietary interventions in a type 2 diabetes mouse model of both DKD and DPN. Therefore, we compared the efficacy of a 12-week regimen of three dietary interventions, low carbohydrate, caloric restriction, and alternate day fasting, for preventing complications in a db/db type 2 diabetes mouse model by performing metabolic, DKD, and DPN phenotyping. All three dietary interventions promoted weight loss, ameliorated glycemic status, and improved DKD, but did not impact percent fat mass and DPN. Multiple regression analysis identified a negative correlation between fat mass and motor nerve conduction velocity. Collectively, our data indicate that these three dietary interventions improved weight and glycemic status and alleviated DKD but not DPN. Moreover, diets that decrease fat mass may be a promising non-pharmacological approach to improve DPN in type 2 diabetes given the negative correlation between fat mass and motor nerve conduction velocity.
Collapse
Affiliation(s)
- Stephanie A. Eid
- Department of Neurology, University of Michigan, Ann Arbor, MI 48103, USA
| | | | | | - Dae-Gyu Jang
- Department of Neurology, University of Michigan, Ann Arbor, MI 48103, USA
| | - Faye E. Mendelson
- Department of Neurology, University of Michigan, Ann Arbor, MI 48103, USA
| | - John M. Hayes
- Department of Neurology, University of Michigan, Ann Arbor, MI 48103, USA
| | - Andrew Carter
- Department of Neurology, University of Michigan, Ann Arbor, MI 48103, USA
| | - Hongyu Zhang
- Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48103, USA
- Department of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, MI 48103, USA
| | - Subramaniam Pennathur
- Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48103, USA
- Department of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, MI 48103, USA
| | - Frank C. Brosius
- Department of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, MI 48103, USA
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48103, USA
- Department of Medicine, University of Arizona, Tucson, AZ, 85721 USA
| | - Emily J. Koubek
- Department of Neurology, University of Michigan, Ann Arbor, MI 48103, USA
| | - Eva L. Feldman
- Department of Neurology, University of Michigan, Ann Arbor, MI 48103, USA
| |
Collapse
|
15
|
Adam CA, Marcu DTM, Mitu O, Roca M, Aursulesei Onofrei V, Zabara ML, Tribuș LC, Cumpăt C, Crișan Dabija R, Mitu F. Old and Novel Predictors for Cardiovascular Risk in Diabetic Foot Syndrome—A Narrative Review. APPLIED SCIENCES 2023; 13:5990. [DOI: 10.3390/app13105990] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/17/2024]
Abstract
Diabetic foot syndrome (DFS) is a complication associated with diabetes that has a strong negative impact, both medically and socio-economically. Recent epidemiological data show that one in six patients with diabetes will develop an ulcer in their lifetime. Vascular complications associated with diabetic foot have multiple prognostic implications in addition to limiting functional status and leading to decreased quality of life for these patients. We searched the electronic databases of PubMed, MEDLINE and EMBASE for studies that evaluated the role of DFS as a cardiovascular risk factor through the pathophysiological mechanisms involved, in particular the inflammatory ones and the associated metabolic changes. In the era of evidence-based medicine, the management of these cases in multidisciplinary teams of “cardio-diabetologists” prevents the occurrence of long-term disabling complications and has prognostic value for cardiovascular morbidity and mortality among diabetic patients. Identifying artificial-intelligence-based cardiovascular risk prediction models or conducting extensive clinical trials on gene therapy or potential therapeutic targets promoted by in vitro studies represent future research directions with a modulating role on the risk of morbidity and mortality in patients with DFS.
Collapse
Affiliation(s)
- Cristina Andreea Adam
- Department of Medical Specialties I and III and Department of Surgical Specialties, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iasi, Romania
- Clinical Rehabilitation Hospital, Cardiovascular Rehabilitation Clinic, 700661 Iasi, Romania
| | - Dragos Traian Marius Marcu
- Department of Medical Specialties I and III and Department of Surgical Specialties, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iasi, Romania
- Clinical Hospital of Pneumophthisiology Iași, 700115 Iasi, Romania
| | - Ovidiu Mitu
- Department of Medical Specialties I and III and Department of Surgical Specialties, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iasi, Romania
- “St. Spiridon” Clinical Emergency Hospital, 700111 Iasi, Romania
| | - Mihai Roca
- Department of Medical Specialties I and III and Department of Surgical Specialties, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iasi, Romania
- Clinical Rehabilitation Hospital, Cardiovascular Rehabilitation Clinic, 700661 Iasi, Romania
| | - Viviana Aursulesei Onofrei
- Department of Medical Specialties I and III and Department of Surgical Specialties, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iasi, Romania
- “St. Spiridon” Clinical Emergency Hospital, 700111 Iasi, Romania
| | - Mihai Lucian Zabara
- Department of Medical Specialties I and III and Department of Surgical Specialties, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iasi, Romania
| | - Laura Carina Tribuș
- Department of Internal Medicine, Faculty of Dentistry, “Carol Davila” University of Medicine and Pharmacy, 050474 Bucharest, Romania
- Department of Internal Medicine, Ilfov County Emergency Hospital, 022104 Bucharest, Romania
| | - Carmen Cumpăt
- Department of Medical Specialties I and III and Department of Surgical Specialties, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iasi, Romania
- Department of Management, “Alexandru Ioan Cuza” University, 700506 Iasi, Romania
| | - Radu Crișan Dabija
- Department of Medical Specialties I and III and Department of Surgical Specialties, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iasi, Romania
- Clinical Hospital of Pneumophthisiology Iași, 700115 Iasi, Romania
| | - Florin Mitu
- Department of Medical Specialties I and III and Department of Surgical Specialties, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iasi, Romania
- Clinical Hospital of Pneumophthisiology Iași, 700115 Iasi, Romania
- Academy of Medical Sciences, 030167 Bucharest, Romania
- Academy of Romanian Scientists, 700050 Iasi, Romania
| |
Collapse
|
16
|
ElSayed NA, Aleppo G, Aroda VR, Bannuru RR, Brown FM, Bruemmer D, Collins BS, Gibbons CH, Giurini JM, Hilliard ME, Isaacs D, Johnson EL, Kahan S, Khunti K, Leon J, Lyons SK, Perry ML, Prahalad P, Pratley RE, Seley JJ, Stanton RC, Sun JK, Gabbay RA, on behalf of the American Diabetes Association. 12. Retinopathy, Neuropathy, and Foot Care: Standards of Care in Diabetes-2023. Diabetes Care 2023; 46:S203-S215. [PMID: 36507636 PMCID: PMC9810462 DOI: 10.2337/dc23-s012] [Citation(s) in RCA: 56] [Impact Index Per Article: 56.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
Collapse
|