1
|
Merlin E, Salio C, Ferrini F. Painful Diabetic Neuropathy: Sex-Specific Mechanisms and Differences from Animal Models to Clinical Outcomes. Cells 2024; 13:2024. [PMID: 39682771 DOI: 10.3390/cells13232024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2024] [Revised: 12/01/2024] [Accepted: 12/04/2024] [Indexed: 12/18/2024] Open
Abstract
Diabetes is a chronic and progressive disease associated with high blood glucose levels. Several co-morbidities arise from diabetes, the most common and severe one is diabetic neuropathy whose symptoms also include pain hypersensitivity. Currently, there are no effective therapies to counteract painful diabetic neuropathy or slow down the progression of the disease, and the underlying mechanisms are yet to be fully understood. Emerging data in recent decades have provided compelling evidence that the molecular and cellular mechanisms underlying chronic pain are different across the sexes. Interestingly, relevant differences have also been observed in the course and clinical presentation of painful diabetic neuropathy in humans. Here, we reviewed the current state of the art on sex differences in diabetic neuropathy, from animal models to clinical data. Comparing the output of both preclinical and clinical studies is necessary for properly orienting future choices in pain research, refining animal models, and interpreting clinical data. The identification of sex-specific mechanisms may help to develop more targeted therapies to counteract pain symptoms in diabetes.
Collapse
Affiliation(s)
- Emma Merlin
- Department of Veterinary Sciences, University of Turin, Largo Braccini 2, 10095 Grugliasco, TO, Italy
| | - Chiara Salio
- Department of Veterinary Sciences, University of Turin, Largo Braccini 2, 10095 Grugliasco, TO, Italy
| | - Francesco Ferrini
- Department of Veterinary Sciences, University of Turin, Largo Braccini 2, 10095 Grugliasco, TO, Italy
- Department of Psychiatry and Neurosciences, Université Laval, Québec, QC G1K 7P4, Canada
| |
Collapse
|
2
|
Khunti K, Chudasama YV, Gregg EW, Kamkuemah M, Misra S, Suls J, Venkateshmurthy NS, Valabhji J. Diabetes and Multiple Long-term Conditions: A Review of Our Current Global Health Challenge. Diabetes Care 2023; 46:2092-2101. [PMID: 38011523 PMCID: PMC10698221 DOI: 10.2337/dci23-0035] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Accepted: 07/26/2023] [Indexed: 11/29/2023]
Abstract
Use of effective treatments and management programs is leading to longer survival of people with diabetes. This, in combination with obesity, is thus contributing to a rise in people living with more than one condition, known as multiple long-term conditions (MLTC or multimorbidity). MLTC is defined as the presence of two or more long-term conditions, with possible combinations of physical, infectious, or mental health conditions, where no one condition is considered as the index. These include a range of conditions such as cardiovascular diseases, cancer, chronic kidney disease, arthritis, depression, dementia, and severe mental health illnesses. MLTC has major implications for the individual such as poor quality of life, worse health outcomes, fragmented care, polypharmacy, poor treatment adherence, mortality, and a significant impact on health care services. MLTC is a challenge, where interventions for prevention and management are lacking a robust evidence base. The key research directions for diabetes and MLTC from a global perspective include system delivery and care coordination, lifestyle interventions and therapeutic interventions.
Collapse
Affiliation(s)
- Kamlesh Khunti
- Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester, U.K
| | - Yogini V. Chudasama
- Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester, U.K
| | - Edward W. Gregg
- School of Population Health, Royal College of Surgeons in Ireland University of Medicine and Health Sciences, Dublin, Ireland
| | - Monika Kamkuemah
- Innovation Africa and Department of Architecture, Faculty of Engineering, Built Environment and Information Technology, University of Pretoria, Pretoria, South Africa
| | - Shivani Misra
- Division of Metabolism, Digestion and Reproduction, Imperial College London, London, U.K
- Department of Diabetes and Endocrinology, St Mary’s Hospital, Imperial College Healthcare NHS Trust, London, U.K
| | - Jerry Suls
- Institute for Health System Science, Feinstein Institutes for Medical Research Northwell Health, New York, NY
| | - Nikhil S. Venkateshmurthy
- Public Health Foundation of India, New Delhi, India
- Centre for Chronic Disease Control, New Delhi, India
| | - Jonathan Valabhji
- Division of Metabolism, Digestion and Reproduction, Imperial College London, London, U.K
- Department of Diabetes and Endocrinology, St Mary’s Hospital, Imperial College Healthcare NHS Trust, London, U.K
| |
Collapse
|
3
|
Ouyang J, Zhou L, Wang Q. Spotlight on iron and ferroptosis: research progress in diabetic retinopathy. Front Endocrinol (Lausanne) 2023; 14:1234824. [PMID: 37772084 PMCID: PMC10525335 DOI: 10.3389/fendo.2023.1234824] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Accepted: 08/21/2023] [Indexed: 09/30/2023] Open
Abstract
Iron, as the most abundant metallic element within the human organism, is an indispensable ion for sustaining life and assumes a pivotal role in governing glucose and lipid metabolism, along with orchestrating inflammatory responses. The presence of diabetes mellitus (DM) can induce aberrant iron accumulation within the corporeal system. Consequentially, iron overload precipitates a sequence of important adversities, subsequently setting in motion a domino effect wherein ferroptosis emerges as the utmost pernicious outcome. Ferroptosis, an emerging variant of non-apoptotic regulated cell death, operates independently of caspases and GSDMD. It distinguishes itself from alternative forms of controlled cell death through distinctive morphological and biochemical attributes. Its principal hallmark resides in the pathological accrual of intracellular iron and the concomitant generation of iron-driven lipid peroxides. Diabetic retinopathy (DR), established as the predominant cause of adult blindness, wields profound influence over the well-being and psychosocial strain experienced by afflicted individuals. Presently, an abundance of research endeavors has ascertained the pervasive engagement of iron and ferroptosis in the microangiopathy inherent to DR. Evidently, judicious management of iron overload and ferroptosis in the early stages of DR bears the potential to considerably decelerate disease progression. Within this discourse, we undertake a comprehensive exploration of the regulatory mechanisms governing iron homeostasis and ferroptosis. Furthermore, we expound upon the subsequent detriments induced by their dysregulation. Concurrently, we elucidate the intricate interplay linking iron overload, ferroptosis, and DR. Delving deeper, we engage in a comprehensive deliberation regarding strategies to modulate their influence, thereby effecting prospective interventions in the trajectory of DR's advancement or employing them as therapeutic modalities.
Collapse
Affiliation(s)
- Junlin Ouyang
- Department of Endocrinology, China–Japan Union Hospital of Jilin University, Changchun, Jilin, China
| | - Ling Zhou
- Department of Obstetrics and Gynecology, China–Japan Union Hospital of Jilin University, Changchun, Jilin, China
| | - Qing Wang
- Department of Endocrinology, China–Japan Union Hospital of Jilin University, Changchun, Jilin, China
| |
Collapse
|
4
|
Phillips S, Setford S, Grady M, Liu Z, Cameron H. Post-Market Surveillance of a Blood Glucose Test Strip Demonstrates No Evidence of Interference on Clinical Accuracy in a Large Cohort of People with Type 1 or Type 2 Diabetes. J Diabetes Sci Technol 2023; 17:141-151. [PMID: 34486429 PMCID: PMC9846393 DOI: 10.1177/19322968211042352] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
BACKGROUND Regulations and industry guidance relating to testing for interference in blood glucose monitoring (BGM) systems continue to focus on in vitro laboratory bench tests. Post-market surveillance (PMS) in a clinical setting allows for BGM accuracy assessments to evaluate the impact of real-world exposure to polypharmacy in people with diabetes. This study evaluated the OneTouch Select Plus® BGM test-strip accuracy with respect to polypharmacy using a clinical registry dataset. METHODS Medication profiles were analysed for 1023 subjects (425 with type 1 (T1D) and 598 with type 2 diabetes (T2D)) attending 3 UK hospitals. Blood samples were analysed to determine clinical accuracy of the BGM test-strip against a laboratory comparator. RESULTS 538 different medications (48 diabetes and 490 non-diabetes) were recorded across the 1023 subjects. Patients took on average 6.9 (n = 1-36) individual medications and 4.1 (n = 1-13) unique medication classes. Clinical accuracy to EN ISO 15197:2015 criteria were met irrespective of increasing average number of individual medications, categorized from 1-3, 4-6, 7-9, 10-12 and >12 taken per subject (97.7%, 97.7%, 97.8%, 97.8%, and 98.4%, respectively). Clinical accuracy criteria were met across 15 classes of medication using the combined dataset (97.9%; 29784/30433). Surveillance Error Grid (SEG) analysis showed 98.7% (29959/30368) of readings presented no clinical risk. No individual class or combination of medication classes impacted clinical accuracy of the BGM test-strip. CONCLUSIONS Clinical performance for the test strip under assessment demonstrated no evidence of interference from over 500 prescription medications, with clinical accuracy maintained across a range of polypharmacy conditions in people with diabetes.
Collapse
Affiliation(s)
- Stuart Phillips
- LifeScan Scotland Ltd, Inverness,
UK
- Stuart Phillips M.Sc., LifeScan Scotland
Ltd, Beechwood Park North, Inverness, IV2 3ED, UK.
| | | | | | | | | |
Collapse
|
5
|
Gao X, Tian Z, Zhao D, Li K, Zhao Y, Xu L, Wang X, Fan D, Ma X, Ling W, Meng H, Yang Y. Associations between Adherence to Four A Priori Dietary Indexes and Cardiometabolic Risk Factors among Hyperlipidemic Patients. Nutrients 2021; 13:2179. [PMID: 34202823 PMCID: PMC8308401 DOI: 10.3390/nu13072179] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Revised: 06/17/2021] [Accepted: 06/22/2021] [Indexed: 01/25/2023] Open
Abstract
Little is known about which currently available a priori dietary indexes provide best guidance for reducing cardiometabolic risk factors (CMRF) among hyperlipidemic patients. This study was designed to compare the associations between four a priori dietary indexes, including Diet Balance Index (DBI-16), Chinese Healthy Eating Index (CHEI), Mediterranean Diet Score (MDS) and Dietary Approaches to Stop Hypertension (DASH) and CMRF among hyperlipidemic patients. A total of 269 participants were enrolled into the cross-sectional study. DBI-16, CHEI, MDS, and DASH scores were calculated using established methods. CMRF was measured using standard methods. DBI-total scores (DBI-TS) were inversely associated with triglyceride concentrations and TC:HDL-C ratio, and positively associated with HDL-C and ApoA1 concentrations (all p < 0.05), while the results for DBI-low bound scores (DBI-LBS) were opposite. DBI-high bound scores (DBI-HBS) and DASH scores were positively and inversely associated with glucose concentrations, respectively (both p < 0.05). Higher diet quality distance (DQD) was positively associated with higher TC, LDL-C and ApoB concentrations, and TC:HDL-C and LDL-C:HDL-C ratios, and lower HDL-C and ApoA1 concentrations and ApoA1:ApoB ratio (all p < 0.05). CHEI scores were inversely associated with triglyceride concentrations (p = 0.036). None of the dietary indexes was associated with blood pressures. DBI-16 provided most comprehensive evaluations of the overall diet quality and balance for optimizing cardiometabolic health among hyperlipidemic individuals.
Collapse
Affiliation(s)
- Xiaoli Gao
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen 518106, China; (X.G.); (Z.T.); (D.Z.); (K.L.); (Y.Z.); (L.X.); (X.M.); (H.M.)
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Guangzhou 510080, China;
- Guangdong Engineering Technology Center of Nutrition Transformation, Guangzhou 510080, China
| | - Zezhong Tian
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen 518106, China; (X.G.); (Z.T.); (D.Z.); (K.L.); (Y.Z.); (L.X.); (X.M.); (H.M.)
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Guangzhou 510080, China;
- Guangdong Engineering Technology Center of Nutrition Transformation, Guangzhou 510080, China
| | - Dan Zhao
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen 518106, China; (X.G.); (Z.T.); (D.Z.); (K.L.); (Y.Z.); (L.X.); (X.M.); (H.M.)
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Guangzhou 510080, China;
- Guangdong Engineering Technology Center of Nutrition Transformation, Guangzhou 510080, China
| | - Kongyao Li
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen 518106, China; (X.G.); (Z.T.); (D.Z.); (K.L.); (Y.Z.); (L.X.); (X.M.); (H.M.)
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Guangzhou 510080, China;
- Guangdong Engineering Technology Center of Nutrition Transformation, Guangzhou 510080, China
| | - Yimin Zhao
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen 518106, China; (X.G.); (Z.T.); (D.Z.); (K.L.); (Y.Z.); (L.X.); (X.M.); (H.M.)
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Guangzhou 510080, China;
- Guangdong Engineering Technology Center of Nutrition Transformation, Guangzhou 510080, China
| | - Lin Xu
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen 518106, China; (X.G.); (Z.T.); (D.Z.); (K.L.); (Y.Z.); (L.X.); (X.M.); (H.M.)
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Guangzhou 510080, China;
- Guangdong Engineering Technology Center of Nutrition Transformation, Guangzhou 510080, China
| | - Xu Wang
- Department of Nutrition, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China; (X.W.); (D.F.)
| | - Die Fan
- Department of Nutrition, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China; (X.W.); (D.F.)
| | - Xilin Ma
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen 518106, China; (X.G.); (Z.T.); (D.Z.); (K.L.); (Y.Z.); (L.X.); (X.M.); (H.M.)
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Guangzhou 510080, China;
- Guangdong Engineering Technology Center of Nutrition Transformation, Guangzhou 510080, China
| | - Wenhua Ling
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Guangzhou 510080, China;
- Guangdong Engineering Technology Center of Nutrition Transformation, Guangzhou 510080, China
- Department of Nutrition, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China; (X.W.); (D.F.)
| | - Huicui Meng
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen 518106, China; (X.G.); (Z.T.); (D.Z.); (K.L.); (Y.Z.); (L.X.); (X.M.); (H.M.)
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Guangzhou 510080, China;
- Guangdong Engineering Technology Center of Nutrition Transformation, Guangzhou 510080, China
| | - Yan Yang
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen 518106, China; (X.G.); (Z.T.); (D.Z.); (K.L.); (Y.Z.); (L.X.); (X.M.); (H.M.)
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Guangzhou 510080, China;
- Guangdong Engineering Technology Center of Nutrition Transformation, Guangzhou 510080, China
| |
Collapse
|