1
|
Chong ZZ, Souayah N. Crumbling Pathogenesis and Biomarkers for Diabetic Peripheral Neuropathy. Biomedicines 2025; 13:413. [PMID: 40002826 PMCID: PMC11853266 DOI: 10.3390/biomedicines13020413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2025] [Revised: 01/31/2025] [Accepted: 02/06/2025] [Indexed: 02/27/2025] Open
Abstract
Background: Diabetic sensorimotor polyneuropathy (DSP) is a common chronic diabetic complication. Traditionally, DSP was once considered irreversible with a typical loss of axon. However, the superimpose of acquired demyelination on axonal loss in DSP patients has been observed, implying that DSP may be preventable or reversible, particularly within a subgroup of patients exhibiting early-stage acquired demyelination, underscoring the critical importance of identifying early prognostic markers. Methods: We systemically review the literature on the roles of biomarkers in predicting DSP and monitoring the progress. The underlying mechanisms of biomarkers were also discussed. Results: The pathogenesis of DSP is multifaceted, with various pathological mechanisms contributing to its development. Key mechanisms include aberrant glucose metabolism and induction of oxidative stress and inflammation. Several pathological processes, such as disrupted glucose metabolism, nerve damage, impaired microcirculation, genetic variants, and microRNA dysregulation, lead to molecular and protein changes that may be detectable in blood and other biological compartments, thus serving as potential biomarkers for DSP progression. However, the utility of a biomarker depends on its predictive accuracy, practicality, and ease of measurement. Conclusions: Most biomarkers for predicting DSP have demonstrated suboptimal predictive value, and many lack established accuracy in forecasting DSP progression. Consequently, the diagnostic utility of any single biomarker remains limited. A comprehensive combination of biomarkers from various categories may hold incredible promise for accurate detection. As artificial intelligence (AI) techniques, especially machine learning, rapidly advance, these technologies may offer significant potential for developing diagnostic platforms to integrate and interpret complex biomarker data for DSP.
Collapse
Affiliation(s)
- Zhao Zhong Chong
- Department of Neurology, New Jersey Medical School, Rutgers University, 185 S. Orange Ave, Newark, NJ 07103, USA
| | - Nizar Souayah
- Department of Neurology, New Jersey Medical School, Rutgers University, 90 Bergen Street DOC 8100, Newark, NJ 07101, USA
| |
Collapse
|
2
|
Chuang WC, Chu CH, Yao CS, Wei MC, Hsieh IL, Liao CM. The value of growth differentiation factor 15 as a biomarker for peripheral artery disease in diabetes patients. Diabetol Metab Syndr 2025; 17:31. [PMID: 39849592 PMCID: PMC11755927 DOI: 10.1186/s13098-025-01588-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2024] [Accepted: 01/10/2025] [Indexed: 01/25/2025] Open
Abstract
BACKGROUND Growth differentiation factor 15 (GDF15) is significantly correlated with glycolipid metabolic disorders. Increased GDF15 levels are associated with obesity, insulin resistance, and diabetes as well as a poorer diabetes progression and prognosis. This is a prospective cohort study investigated the association between circulating GDF15 and diabetic peripheral artery disease. METHODS A total of 174 diabetic patients aged 20-80 were enrolled. Plasma GDF15 levels were measured using ELISA. Peripheral Artery Disease (PAD) was evaluated with the Ankle brachial index (ABI) and the Cardio-ankle vascular index (CAVI). RESULTS We found that diabetic patients with higher serum GDF15 levels (mean: 2521.5 pg/mL) had a higher incidence of peripheral artery disease. Multivariate logistic regression analysis indicated that patients with high serum GDF15 levels were at an increased risk of developing peripheral artery disease. High GDF15 levels were associated with ABI < 0.9 (right and left mean 19.5% p = 0.80, OR:1.13; 95%CI: [0.44-2.90]). Increased age (p = 0.025 OR:1.02; 95% CI [0.13-0.87]), family history (p = 0.001 OR:1.37; 95%CI: [0.37-5.05]), heart failure (p = 0.002 OR:4.96; 95%CI: [1.76-13.97]), sodium-glucose linked transporter 2 (SGLT 2) inhibitor use (p = 0.026), estimated glomerular filtration rate (eGFR) (p = < 0.001), and uric acid (p = < 0.001) was also positively associated with high GDF15 levels. Urine albumin-to-creatinine ratio (UACR) (p = < 0.010) was associated with higher GDF15 levels after one year of follow up. CONCLUSIONS Elevated GDF15 was significantly associated with worsening metabolic parameters and an increased risk of peripheral artery disease. Thus, it may be a stronger predictor of these outcomes in people with diabetes.
Collapse
Affiliation(s)
- Wan-Chi Chuang
- Kaohsiung Veterans General Hospital, Kaohsiung City, Taiwan.
| | - Chih-Hsun Chu
- Kaohsiung Veterans General Hospital, Kaohsiung City, Taiwan
| | - Cai-Sin Yao
- Kaohsiung Veterans General Hospital, Kaohsiung City, Taiwan
| | - Mei-Chih Wei
- Kaohsiung Veterans General Hospital, Kaohsiung City, Taiwan
| | - I-Lun Hsieh
- Kaohsiung Veterans General Hospital, Kaohsiung City, Taiwan
| | - Chia-Mei Liao
- Kaohsiung Veterans General Hospital, Kaohsiung City, Taiwan
| |
Collapse
|
3
|
Jiang Y, Zheng Z, Zhu J, Zhang P, Li S, Fu Y, Wang F, Zhang Z, Chang T, Zhang M, Ruan B, Wang X. The role of GDF15 in attenuating noise-induced hidden hearing loss by alleviating oxidative stress. Cell Biol Toxicol 2024; 40:79. [PMID: 39289208 PMCID: PMC11408584 DOI: 10.1007/s10565-024-09912-2] [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: 03/26/2024] [Accepted: 08/06/2024] [Indexed: 09/19/2024]
Abstract
Noise-induced hidden hearing loss (HHL) is a newly uncovered form of hearing impairment that causes hidden damage to the cochlea. Patients with HHL do not have significant abnormalities in their hearing thresholds, but they experience impaired speech recognition in noisy environments. However, the mechanisms underlying HHL remain unclear. In this study, we developed single-cell transcriptome profiles of the cochlea of mice with HHL, detailing changes in individual cell types. Our study revealed a transient threshold shift, reduced auditory brainstem response wave I amplitude, and decreased number of ribbon synapses in HHL mice. Our findings suggest elevated oxidative stress and GDF15 expression in cochlear hair cells of HHL mice. Notably, the upregulation of GDF15 attenuated oxidative stress and auditory impairment in the cochlea of HHL mice. This suggests that a therapeutic strategy targeting GDF15 may be efficacious against HHL.
Collapse
Affiliation(s)
- Yihong Jiang
- Center of Clinical Aerospace Medicine, School of Aerospace Medicine, Air Force Medical University, Xi'an, 710032, Shaanxi, China
- Department of Aviation Medicine, Xijing Hospital, Xi'an, 710032, Shaanxi, China
| | - Zeyu Zheng
- Center of Clinical Aerospace Medicine, School of Aerospace Medicine, Air Force Medical University, Xi'an, 710032, Shaanxi, China
- Department of Aviation Medicine, Xijing Hospital, Xi'an, 710032, Shaanxi, China
| | - Jing Zhu
- Center of Clinical Aerospace Medicine, School of Aerospace Medicine, Air Force Medical University, Xi'an, 710032, Shaanxi, China
- Department of Aviation Medicine, Xijing Hospital, Xi'an, 710032, Shaanxi, China
| | - Peng Zhang
- Department of Otolaryngology, Xijing Hospital, Xi'an, 710032, Shaanxi, China
| | - Shaoheng Li
- Department of Ophthalmology, Eye Institute of Chinese PLA, Xijing Hospital, Xi'an, 710032, Shaanxi, China
| | - Yang Fu
- Center of Clinical Aerospace Medicine, School of Aerospace Medicine, Air Force Medical University, Xi'an, 710032, Shaanxi, China
- Department of Aviation Medicine, Xijing Hospital, Xi'an, 710032, Shaanxi, China
| | - Fei Wang
- Department of Aerospace Hygiene, School of Aerospace Medicine, Air Force Medical University, Xi'an, 710032, Shaanxi, China
| | - Zhuoru Zhang
- Center of Clinical Aerospace Medicine, School of Aerospace Medicine, Air Force Medical University, Xi'an, 710032, Shaanxi, China
- Department of Aviation Medicine, Xijing Hospital, Xi'an, 710032, Shaanxi, China
| | - Tong Chang
- Center of Clinical Aerospace Medicine, School of Aerospace Medicine, Air Force Medical University, Xi'an, 710032, Shaanxi, China
- Department of Aviation Medicine, Xijing Hospital, Xi'an, 710032, Shaanxi, China
| | - Min Zhang
- Center of Clinical Aerospace Medicine, School of Aerospace Medicine, Air Force Medical University, Xi'an, 710032, Shaanxi, China.
- Department of Aviation Medicine, Xijing Hospital, Xi'an, 710032, Shaanxi, China.
- Department of Otolaryngology, Xijing Hospital, Xi'an, 710032, Shaanxi, China.
| | - Bai Ruan
- Center of Clinical Aerospace Medicine, School of Aerospace Medicine, Air Force Medical University, Xi'an, 710032, Shaanxi, China.
- Department of Aviation Medicine, Xijing Hospital, Xi'an, 710032, Shaanxi, China.
| | - Xiaocheng Wang
- Center of Clinical Aerospace Medicine, School of Aerospace Medicine, Air Force Medical University, Xi'an, 710032, Shaanxi, China.
- Department of Aviation Medicine, Xijing Hospital, Xi'an, 710032, Shaanxi, China.
- Department of Otolaryngology, Xijing Hospital, Xi'an, 710032, Shaanxi, China.
| |
Collapse
|
4
|
Billeson K, Baldimtsi E, Wahlberg J, Whiss PA. Growth Differentiation Factor 15 and Matrix Metalloproteinase 3 in Plasma as Biomarkers for Neuropathy and Nephropathy in Type 1 Diabetes. Int J Mol Sci 2024; 25:7328. [PMID: 39000435 PMCID: PMC11242093 DOI: 10.3390/ijms25137328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2024] [Revised: 06/13/2024] [Accepted: 06/28/2024] [Indexed: 07/16/2024] Open
Abstract
Diabetic neuropathy and nephropathy are common complications of type 1 diabetes (T1D). The symptoms are often elusive in the early stages, and available diagnostic methods can be improved using biomarkers. Matrix metalloproteinase 3 (MMP-3) has been identified in the kidneys and is thought to be involved in diabetic nephropathy. Growth differentiation factor 15 (GDF-15) has been suggested to have positive effects in diabetes, but is otherwise associated with adverse effects such as cardiovascular risk, declined kidney function, and neurodegeneration. This study aims to investigate plasma MMP-3 and GDF-15 as systemic biomarkers for diabetic neuropathy and nephropathy in T1D. The study involves patients with childhood-onset T1D (n = 48, age 38 ± 4 years) and a healthy control group (n = 30, age 38 ± 5 years). Neurophysiology tests, evaluations of albuminuria, and measurements of routine biochemical markers were conducted. The neuropathy impairment assessment (NIA) scoring system, where factors such as loss of sensation and weakened reflexes are evaluated, was used to screen for symptoms of neuropathy. MMP-3 and GDF-15 concentrations were determined in heparinized plasma using ELISA kits. In total, 9 patients (19%) had albuminuria, and 25 (52%) had diabetic neuropathy. No significant differences were found in MMP-3 concentrations between the groups. GDF-15 levels were higher in T1D, with median and interquartile range (IQR) of 358 (242) pg/mL in T1D and 295 (59) in controls (p < 0.001). In the merged patient group, a positive correlation was found between MMP-3 and plasma creatinine, a negative correlation was found between MMP-3 and estimated glomerular filtration rate (eGFR; rho = -0.358, p = 0.012), and there was a positive correlation between GDF-15 and NIA (rho = 0.723, p < 0.001) and high-sensitive C-reactive protein (rho = 0.395, p = 0.005). MMP-3 was increased in macroalbuminuria and correlated positively with NIA only in the nine T1D patients with albuminuria (rho = 0.836, p = 0.005). The present study indicates that high MMP-3 is associated with low eGFR, high plasma creatinine, and macroalbuminuria, and that GDF-15 can be a biomarker for diabetic neuropathy in T1D. MMP-3 may be useful as biomarker for neuropathy in T1D with albuminuria.
Collapse
Affiliation(s)
- Karin Billeson
- Department of Biomedical and Clinical Sciences, Division of Clinical Chemistry and Pharmacology, Linköping University, 581 83 Linköping, Sweden;
| | - Evangelia Baldimtsi
- Department of Acute Internal Medicine and Geriatrics in Linköping, Department of Health, Medicine and Caring Sciences, Linköping University, 581 83 Linköping, Sweden;
| | - Jeanette Wahlberg
- Faculty of Medical Sciences, Örebro University, 701 82 Örebro, Sweden
| | - Per A. Whiss
- Department of Biomedical and Clinical Sciences, Division of Clinical Chemistry and Pharmacology, Linköping University, 581 83 Linköping, Sweden;
| |
Collapse
|
5
|
Xu R, Fang Z, Wang H, Gu Y, Yu L, Zhang B, Xu J. Molecular mechanism and intervention measures of microvascular complications in diabetes. Open Med (Wars) 2024; 19:20230894. [PMID: 38645437 PMCID: PMC11032097 DOI: 10.1515/med-2023-0894] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 12/23/2023] [Accepted: 01/05/2024] [Indexed: 04/23/2024] Open
Abstract
Objective In this article, the epidemiology, molecular mechanism of occurrence and development, risk factors, and treatment of diabetic microvascular complications such as diabetic nephropathy, diabetic retinopathy, and diabetic peripheral neuropathy were discussed, providing the theoretical basis for more accurate elucidation of the pathogenesis and treatment of diabetic microvascular complications. Methods The electronic database of PubMed was searched, and retrieved papers were screened for eligibility by two independent reviewers. Data were extracted using a standardized data extraction form and the quality of included papers was assessed. Results Thirty-eight articles were included. Diabetes nephropathy, diabetes peripheral neuropathy, and diabetes retinopathy are the most common and serious microvascular complications of diabetes in clinical patients. Renin-angiotensin system blockers, beta drugs, statins, antivascular endothelial growth factor drugs, and antioxidants can inhibit the occurrence of microvascular complications in diabetes. Conclusions However, there has been no breakthrough in the treatment of diabetic microvascular complications. Therefore, prevention of diabetic microvascular complications is more important than treatment.
Collapse
Affiliation(s)
- Rui Xu
- Hanan Branch of the Second Affiliated Hospital of Heilongjiang University of Chinese Medicine, Harbin, China
| | - Ziming Fang
- The First Affiliated Hospital of Heilongjiang University of Traditional Chinese Medicine, Harbin, China
| | - Hongyu Wang
- Dongning Maternal and Child Care Service Center, Mudanjiang, China
| | - Ye Gu
- Heilongjiang University Of Chinese Medicine, Harbin, China
| | - Liying Yu
- Daqing Traditional Chinese Medicine Hospital, Daqing, China
| | - Boyang Zhang
- Wuxi Traditional Chinese Medicine Hospital, Wuxi, China
| | - Jingyu Xu
- Department of Cardiology, The First Affiliated Hospital of Heilongjiang University of Traditional Chinese Medicine, Harbin, China
| |
Collapse
|
6
|
Zhu X, Liang F, Yin J, Li X, Jiang L, Gao Y, Lu Y, Hu Y, Dai N, Su J, Yang Z, Yao M, Xiao Y, Ge W, Zhang Y, Zhong Y, Zhang J, Wu M. Duration-specific association between plasma IGFBP7 levels and diabetic complications in patients with type 2 diabetes mellitus. Growth Horm IGF Res 2024; 75:101574. [PMID: 38503080 DOI: 10.1016/j.ghir.2024.101574] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Revised: 10/31/2023] [Accepted: 02/20/2024] [Indexed: 03/21/2024]
Abstract
OBJECTIVE Insulin-like growth factor binding protein 7 (IGFBP7) has a strong affinity to insulin. This study aimed to evaluate the relationship between IGFBP7 and complications among type 2 diabetes mellitus (T2DM) patients. DESIGN A total of 1449 T2DM patients were selected from a cross-sectional study for disease management registered in the National Basic Public Health Service in Changshu, China, and further tested for their plasma IGFBP7 levels. Logistic regressions and Spearman's rank correlation analyses were used to explore the associations of IGFBP7 with diabetic complications and clinical characteristics, respectively. RESULTS Among the 1449 included T2DM patients, 403 (27.81%) had complications. In patients with shorter duration (less than five years), the base 10 logarithms of IGFBP7 concentration were associated with T2DM complications, with an adjusted odds ratio (OR) of 2.41 [95% confidence interval (95%CI) = 1.06-5.48]; while in patients with longer duration (more than five years), plasma IGFBP7 levels were not associated with T2DM complications. Furthermore, in T2DM patients with shorter duration, those with two or more types of complications were more likely to have higher levels of IGFBP7. CONCLUSION IGFBP7 is positively associated with the risk of complication in T2DM patients with shorter duration.
Collapse
Affiliation(s)
- Xiaoyan Zhu
- School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China; Suzhou Center for Disease Prevention and Control, Suzhou, Jiangsu 215004, China
| | - Fei Liang
- Huzhou First People's Hospital, Huzhou, Zhejiang 313000, China; Department of Epidemiology and Health Statistics, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, Suzhou, Jiangsu 215123, China
| | - Jieyun Yin
- Department of Epidemiology and Health Statistics, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, Suzhou, Jiangsu 215123, China
| | - Xiaoliang Li
- Zhuhai Center for Chronic Disease Control and Prevention, Zhuhai, Guangdong 519060, China
| | - Lai Jiang
- Suzhou Center for Disease Prevention and Control, Suzhou, Jiangsu 215004, China
| | - Yan Gao
- Suzhou Center for Disease Prevention and Control, Suzhou, Jiangsu 215004, China
| | - Yan Lu
- Suzhou Center for Disease Prevention and Control, Suzhou, Jiangsu 215004, China
| | - Yihe Hu
- Suzhou Center for Disease Prevention and Control, Suzhou, Jiangsu 215004, China
| | - Ningbin Dai
- Suzhou Center for Disease Prevention and Control, Suzhou, Jiangsu 215004, China
| | - Jian Su
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu 210009, China
| | - Zhuoqiao Yang
- Department of Epidemiology and Health Statistics, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, Suzhou, Jiangsu 215123, China
| | - Mengxin Yao
- Department of Epidemiology and Health Statistics, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, Suzhou, Jiangsu 215123, China
| | - Yue Xiao
- Department of Epidemiology and Health Statistics, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, Suzhou, Jiangsu 215123, China
| | - Wenxin Ge
- Department of Epidemiology and Health Statistics, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, Suzhou, Jiangsu 215123, China
| | - Yue Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, Suzhou, Jiangsu 215123, China
| | - Yi Zhong
- Department of Epidemiology and Health Statistics, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, Suzhou, Jiangsu 215123, China
| | - Jun Zhang
- Suzhou Center for Disease Prevention and Control, Suzhou, Jiangsu 215004, China.
| | - Ming Wu
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu 210009, China.
| |
Collapse
|