Lower Visceral Fat Area in Patients with Type 2 Diabetic Peripheral Neuropathy

References

• Sloan G, Selvarajah D, Tesfaye S. Pathogenesis, diagnosis and clinical management of diabetic sensorimotor peripheral neuropathy. Nat Rev Endocrinol. 2021;17(7):400–420. doi:10.1038/s41574-021-00496-z
   PubMed Web of Science ®Google Scholar
• Carmichael J, Fadavi H, Ishibashi F, Shore AC, Tavakoli M. Advances in screening, early diagnosis and accurate staging of diabetic neuropathy. Front Endocrinol. 2021;12:671257. doi:10.3389/fendo.2021.671257
   PubMed Web of Science ®Google Scholar
• Moosaie F, Ghaemi F, Mechanick JI, et al. Obesity and diabetic complications: a study from the nationwide diabetes report of the National Program for Prevention and Control of Diabetes (NPPCD-2021) implications for action on multiple scales. Prim Care Diabetes. 2022;16(3):422–429. doi:10.1016/j.pcd.2022.03.009
   Web of Science ®Google Scholar
• Anan F, Masaki T, Ito Y, et al. Diabetic retinopathy is associated with visceral fat accumulation in Japanese type 2 diabetes mellitus patients. Metab Clin Exp. 2010;59(3):314–319. doi:10.1016/j.metabol.2009.06.001
   PubMed Web of Science ®Google Scholar
• Neeland IJ, Ross R, Despres JP, et al. Visceral and ectopic fat, atherosclerosis, and cardiometabolic disease: a position statement. Lancet Diabetes Endo. 2019;7(9):715–725. doi:10.1016/S2213-8587(19)30084-1
   PubMed Web of Science ®Google Scholar
• Gao S, Zhang HL, Long C, Xing ZH. Association between obesity and microvascular diseases in patients with type 2 diabetes mellitus. Front Endocrinol. 2021;12. doi:10.3389/fendo.2021.719515
   Web of Science ®Google Scholar
• Oh TJ, Lee JE, Choi SH, Jang HC. Association between body fat and diabetic peripheral neuropathy in middle-aged adults with type 2 diabetes mellitus: a preliminary report. J Obes Metab Syndr. 2019;28(2):112–117. doi:10.7570/jomes.2019.28.2.112
   PubMed Web of Science ®Google Scholar
• Tesfaye S. Recent advances in the management of diabetic distal symmetrical polyneuropathy. J Diabetes Investig. 2011;2(1):33–42. doi:10.1111/j.2040-1124.2010.00083.x
   Web of Science ®Google Scholar
• Mendez-Morales ST, Perez-De Marcos JC, Rodriguez-Cortes O, et al. Diabetic neuropathy: molecular approach a treatment opportunity. Vasc Pharmacol. 2022;143. doi:10.1016/j.vph.2022.106954
   Web of Science ®Google Scholar
• Kershaw EE, Flier JS. Adipose tissue as an endocrine organ. J Clin Endocrinol Metab. 2004;89(6):2548–2556. doi:10.1210/jc.2004-0395
   PubMed Web of Science ®Google Scholar
• Qiu Y, Deng X, Sha Y, et al. Visceral fat area, not subcutaneous fat area, is associated with cardiac hemodynamics in type 2 diabetes. Diabetes Metab Syndr Obes. 2020;13:4413–4422. doi:10.2147/DMSO.S284420
   PubMed Web of Science ®Google Scholar
• Yang X, Lin Y, Xu GD, et al. Optimal cut-off values of visceral fat area for predicting metabolic syndrome among type 2 diabetes patients in Ningbo, China. Diabet Metab Synd Ob. 2021;14:1375–1383. doi:10.2147/Dmso.S304164
   Web of Science ®Google Scholar
• Bouchi R, Ohara N, Asakawa M, et al. Is visceral adiposity a modifier for the impact of blood pressure on arterial stiffness and albuminuria in patients with type 2 diabetes? Cardiovasc Diabetol. 2016;15. doi:10.1186/s12933-016-0335-3
   Web of Science ®Google Scholar
• Kurajoh M, Koyama H, Kadoya M, et al. Plasma leptin level is associated with cardiac autonomic dysfunction in patients with type 2 diabetes: HSCAA study. Cardiovasc Diabetol. 2015;14. doi:10.1186/s12933-015-0280-6
   Web of Science ®Google Scholar
• Ahlqvist E, Storm P, Käräjämäki A, et al. Novel subgroups of adult-onset diabetes and their association with outcomes: a data-driven cluster analysis of six variables. Lancet Diabetes Endocrinol. 2018;6(5):361–369. doi:10.1016/S2213-8587(18)30051-2
   PubMed Web of Science ®Google Scholar
• Zaharia OP, Strassburger K, Knebel B, et al. Role of patatin-like phospholipase domain-containing 3 gene for hepatic lipid content and insulin resistance in diabetes. Diabetes Care. 2020;43(9):2161–2168. doi:10.2337/dc20-0329
   PubMed Web of Science ®Google Scholar
• Alberti KG, Zimmet PZ. Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: diagnosis and classification of diabetes mellitus provisional report of a WHO consultation. Diabet Med. 1998;15(7):539–553.
   PubMed Web of Science ®Google Scholar
• Yang W, Lu J, Weng J, et al. Prevalence of diabetes among men and women in China. N Engl J Med. 2010;362(12):1090–1101. doi:10.1056/nejmoa0908292
   PubMed Web of Science ®Google Scholar
• Guerrero-Romero F, Simental-Mendia LE, Gonzalez-Ortiz M, et al. The product of triglycerides and glucose, a simple measure of insulin sensitivity. Comparison with the euglycemic-hyperinsulinemic clamp. J Clin Endocrinol Metab. 2010;95(7):3347–3351. doi:10.1210/jc.2010-0288
   PubMed Web of Science ®Google Scholar
• Yan PJ, Xu Y, Wan Q, et al. Decreased plasma neuregulin 4 concentration is associated with increased high-sensitivity C-reactive protein in newly diagnosed type 2 diabetes mellitus patients: a cross-sectional study. Acta Diabetol. 2017;54(12):1091–1099. doi:10.1007/s00592-017-1044-4
   PubMed Web of Science ®Google Scholar
• Cao Y, Li XY, Lu C, Zhan XR. The relationship between vitronectin and hepatic insulin resistance in type 2 diabetes mellitus. Endocr J. 2018;65(7):747–753. doi:10.1507/endocrj.EJ17-0504
   Web of Science ®Google Scholar
• Yan PJ, Xu Y, Miao Y, et al. Association of remnant cholesterol with chronic kidney disease in middle-aged and elderly Chinese: a population-based study. Acta Diabetol. 2021;58(12):1615–1625. doi:10.1007/s00592-021-01765-z
   PubMed Web of Science ®Google Scholar
• Yan PJ, Xu Y, Zhang ZH, et al. Association of circulating omentin-1 with osteoporosis in a Chinese type 2 diabetic population. Mediators Inflamm. 2020;2020. doi:10.1155/2020/9389720
   Web of Science ®Google Scholar
• Omura-Ohata Y, Son C, Makino H, et al. Efficacy of visceral fat estimation by dual bioelectrical impedance analysis in detecting cardiovascular risk factors in patients with type 2 diabetes. Cardiovasc Diabetol. 2019;18(1). doi:10.1186/s12933-019-0941-y
   Web of Science ®Google Scholar
• Miyasato Y, Oba K, Yasuno S, Matsuyama Y, Masuda I. Associations between visceral obesity and renal impairment in health checkup participants: a retrospective cohort study. Clin Exp Nephrol. 2020;24(10):935–945. doi:10.1007/s10157-020-01921-9
   Web of Science ®Google Scholar
• Enomoto M, Adachi H, Fukami A, et al. A useful tool as a medical checkup in a general population-bioelectrical impedance analysis. Front Cardiovasc Med. 2017;4. doi:10.3389/fcvm.2017.00003
   Web of Science ®Google Scholar
• Lee JA, Halpern EM, Lovblom LE, Yeung E, Bril V, Perkins BA. Reliability and validity of a point-of-care sural nerve conduction device for identification of diabetic neuropathy. PLoS One. 2014;9(1). doi:10.1371/journal.pone.0086515
   Web of Science ®Google Scholar
• Hirayasu K, Sasaki H, Kishimoto S, et al. Difference in normal limit values of nerve conduction parameters between Westerners and Japanese people might need to be considered when diagnosing diabetic polyneuropathy using a Point-of-Care Sural Nerve Conduction Device (NC-stat (R)/DPNCheck). J Diabetes Investig. 2018;9(5):1173–1181. doi:10.1111/jdi.12818
   Web of Science ®Google Scholar
• Kurisu S, Sasaki H, Kishimoto S, et al. Clinical polyneuropathy does not increase with prediabetes or metabolic syndrome in the Japanese general population. J Diabetes Investig. 2019;10(6):1565–1575. doi:10.1111/jdi.13058
   Web of Science ®Google Scholar
• Vogt EC, Oksnes M, Suleiman F, et al. Assessment of diabetic polyneuropathy in Zanzibar: comparison between traditional methods and an automated point-of-care nerve conduction device. J Clin Transl Endocrinol. 2017;10:9–14. doi:10.1016/j.jcte.2017.09.001
   Google Scholar
• Tesfaye S, Boulton AJM, Dyck PJ, et al. Diabetic neuropathies: update on definitions, diagnostic criteria, estimation of severity, and treatments. Diabetes Care. 2010;33(10):2285–2293. doi:10.2337/dc10-1303
   PubMed Web of Science ®Google Scholar
• Andersen ST, Witte DR, Andersen H, et al. Risk-factor trajectories preceding diabetic polyneuropathy: ADDITION-Denmark. Diabetes Care. 2018;41(9):1955–1962. doi:10.2337/dc18-0392
   Web of Science ®Google Scholar
• Breiner A, Lovblom LE, Perkins BA, Bril V. Does the prevailing hypothesis that small-fiber dysfunction precedes large-fiber dysfunction apply to type 1 diabetic patients? Diabetes Care. 2014;37:1418–1424.
   Web of Science ®Google Scholar
• Bril V, Perkins BA. Validation of the Toronto clinical scoring system for diabetic polyneuropathy. Diabetes Care. 2002;25(11):2048–2052. doi:10.2337/diacare.25.11.2048
   PubMed Web of Science ®Google Scholar
• Weisman A, Bril V, Ngo M, et al. Identification and prediction of diabetic sensorimotor polyneuropathy using individual and simple combinations of nerve conduction study parameters. PLoS One. 2013;8(3):e58783. doi:10.1371/journal.pone.0058783
   Web of Science ®Google Scholar
• Hamasaki H, Hamasaki Y. Diabetic neuropathy evaluated by a novel device: sural nerve conduction is associated with glycemic control and ankle-brachial pressure index in Japanese patients with diabetes. Front Endocrinol. 2017;8:203. doi:10.3389/fendo.2017.00203
   Web of Science ®Google Scholar
• Poulose S, Cheriyan E, Poulose A, Cheriyan R, Vadakkanezath B, Ziemer P. Usefulness of the NC-stat DPNCheck nerve conduction test in a community pharmacy as an educational tool for patients with diabetes. Can Pharm J. 2015;148(1):17–20. doi:10.1177/1715163514561055
   Google Scholar
• Chow CK, Teo KK, Rangarajan S, et al. Prevalence, awareness, treatment, and control of hypertension in rural and urban communities in high-, middle-, and low-income countries. JAMA-J Am Med Assoc. 2013;310(9):959–968. doi:10.1001/jama.2013.184182
   PubMed Web of Science ®Google Scholar
• Gordin D, Hiilesmaa V, Fagerudd J, et al. Pre-eclampsia but not pregnancy-induced hypertension is a risk factor for diabetic nephropathy in type 1 diabetic women. Diabetologia. 2007;50(3):516–522. doi:10.1007/s00125-006-0544-5
   Web of Science ®Google Scholar
• Jia F, Tian J, Deng F, et al. Subclinical hypothyroidism and the associations with macrovascular complications and chronic kidney disease in patients with type 2 diabetes. Diabetic Med. 2015;32(8):1097–1103. doi:10.1111/dme.12724
   Web of Science ®Google Scholar
• McGloin H, Devane D, McIntosh CD, Winkley K, Gethin G. Psychological interventions for treating foot ulcers, and preventing their recurrence, in people with diabetes. Cochrane Db Syst Rev. 2021;2. doi:10.1002/14651858.CD012835.pub2
   Web of Science ®Google Scholar
• Schlesinger S, Herder C, Kannenberg JM, et al. General and abdominal obesity and incident distal sensorimotor polyneuropathy: insights into inflammatory biomarkers as potential mediators in the KORA F4/FF4 cohort. Diabetes Care. 2019;42(2):240–247. doi:10.2337/dc18-1842
   Web of Science ®Google Scholar
• Zhao Q, Chen X, Wu J, et al. Optimal cut-offs of body mass index and waist circumference to identify obesity in Chinese type 2 diabetic patients. Diabetes Metab Syndr Obes. 2020;13:1899–1909. doi:10.2147/DMSO.S251574
   PubMed Web of Science ®Google Scholar
• Tchernof A, Despres JP. Pathophysiology of human visceral obesity: an update. Physiol Rev. 2013;93(1):359–404. doi:10.1152/physrev.00033.2011
   PubMed Web of Science ®Google Scholar
• Zhen Q, Yao N, Chen X, Zhang X, Wang Z, Ge Q. Total body adiposity, triglycerides, and leg fat are independent risk factors for diabetic peripheral neuropathy in Chinese patients with type 2 diabetes mellitus. Endocr Pract. 2019;25(3):270–278. doi:10.4158/EP-2018-0459
   Web of Science ®Google Scholar
• Tayama K, Inukai T, Shimomura Y. Preperitoneal fat deposition estimated by ultrasonography in patients with non-insulin-dependent diabetes mellitus. Diabetes Res Clin Pract. 1999;43(1):49–58. doi:10.1016/s0168-8227(98)00118-1
   Web of Science ®Google Scholar
• Sheng H, Zhang H, Zhang W, Sun G. Dietary fructose intake is correlated with fat distribution in the Newfoundland population. Nutrition. 2022;93:111434. doi:10.1016/j.nut.2021.111434
   Web of Science ®Google Scholar
• Marshall SM, Flyvbjerg A. Prevention and early detection of vascular complications of diabetes. BMJ. 2006;333(7566):475–480. doi:10.1136/bmj.38922.650521.80
   PubMed Web of Science ®Google Scholar
• Rahimi-Madiseh M, Malekpour-Tehrani A, Bahmani M, Rafieian-Kopaei M. The research and development on the antioxidants in prevention of diabetic complications. Asian Pac J Trop Med. 2016;9(9):825–831. doi:10.1016/j.apjtm.2016.07.001
   Web of Science ®Google Scholar
• Coste TC, Gerbi A, Vague P, Pieroni G, Raccah D. Neuroprotective effect of docosahexaenoic acid-enriched phospholipids in experimental diabetic neuropathy. Diabetes. 2003;52(10):2578–2585. doi:10.2337/diabetes.52.10.2578
   Web of Science ®Google Scholar
• Man RE, Sabanayagam C, Chiang PP, et al. Differential association of generalized and abdominal obesity with diabetic retinopathy in asian patients with type 2 diabetes. JAMA Ophthalmol. 2016;134(3):251–257. doi:10.1001/jamaophthalmol.2015.5103
   PubMed Web of Science ®Google Scholar
• Sasongko MB, Widyaputri F, Sulistyoningrum DC, et al. Estimated resting metabolic rate and body composition measures are strongly associated with diabetic retinopathy in Indonesian adults with type 2 diabetes. Diabetes Care. 2018;41(11):2377–2384. doi:10.2337/dc18-1074
   Web of Science ®Google Scholar
• Yan P, Xu Y, Zhang Z, et al. Decreased plasma neuregulin 4 levels are associated with peripheral neuropathy in Chinese patients with newly diagnosed type 2 diabetes: a cross-sectional study. Cytokine. 2019;113:356–364. doi:10.1016/j.cyto.2018.10.007
   PubMed Web of Science ®Google Scholar
• Su JB, Zhao LH, Zhang XL, et al. HbA1c variability and diabetic peripheral neuropathy in type 2 diabetic patients. Cardiovasc Diabetol. 2018;17(1):47. doi:10.1186/s12933-018-0693-0
   PubMed Web of Science ®Google Scholar
• Wang N, Guo C, Han P, Li T. Glycated albumin indicates peripheral diabetic neuropathy. Acta Diabetol. 2016;53(6):973–979. doi:10.1007/s00592-016-0900-y
   Web of Science ®Google Scholar
• Zhang YX, Chen J, Liu XH. Profiles of anemia among school-aged children categorized by body mass index and waist circumference in Shandong, China. Pediatr Neonatol. 2021;62(2):165–171. doi:10.1016/j.pedneo.2020.11.002
   Web of Science ®Google Scholar
• Couto Alves A, Valcarcel B, Makinen VP, et al. Metabolic profiling of polycystic ovary syndrome reveals interactions with abdominal obesity. Int J Obes. 2017;41(9):1331–1340. doi:10.1038/ijo.2017.126
   Web of Science ®Google Scholar
• Wu O, Leng JH, Yang FF, et al. A comparative research on obesity hypertension by the comparisons and associations between waist circumference, body mass index with systolic and diastolic blood pressure, and the clinical laboratory data between four special Chinese adult groups. Clin Exp Hypertens. 2018;40(1):16–21. doi:10.1080/10641963.2017.1281940
   PubMed Web of Science ®Google Scholar
• Delgado C, Chertow GM, Kaysen GA, et al. Associations of body mass index and body fat with markers of inflammation and nutrition among patients receiving hemodialysis. Am J Kidney Dis. 2017;70(6):817–825. doi:10.1053/j.ajkd.2017.06.028
   Web of Science ®Google Scholar
• Takei R, Inoue T, Sonoda N, et al. Bilirubin reduces visceral obesity and insulin resistance by suppression of inflammatory cytokines. PLoS One. 2019;14(10):e0223302. doi:10.1371/journal.pone.0223302
   PubMed Web of Science ®Google Scholar
• Kim JA, Park HS. White blood cell count and abdominal fat distribution in female obese adolescents. Metabolism. 2008;57(10):1375–1379. doi:10.1016/j.metabol.2008.05.005
   PubMed Web of Science ®Google Scholar
• Haas AV, McDonnell ME. Pathogenesis of cardiovascular disease in diabetes. Endocrinol Metab Clin North Am. 2018;47(1):51–63. doi:10.1016/j.ecl.2017.10.010
   PubMed Web of Science ®Google Scholar
• Asakawa H, Tokunaga K, Kawakami F. Relationship of abdominal fat with metabolic disorders in diabetes mellitus patients. Diabetes Res Clin Pract. 2002;55(2):139–149. doi:10.1016/s0168-8227(01)00294-7
   Web of Science ®Google Scholar
• Wang Z, Zeng X, Chen Z, et al. Association of visceral and total body fat with hypertension and prehypertension in a middle-aged Chinese population. J Hypertens. 2015;33(8):1555–1562. doi:10.1097/HJH.0000000000000602
   PubMed Web of Science ®Google Scholar
• Fox CS, Massaro JM, Hoffmann U, et al. Abdominal visceral and subcutaneous adipose tissue compartments: association with metabolic risk factors in the Framingham Heart Study. Circulation. 2007;116(1):39–48. doi:10.1161/CIRCULATIONAHA.106.675355
   PubMed Web of Science ®Google Scholar
• Bullon-Vela V, Abete I, Tur JA, et al. Relationship of visceral adipose tissue with surrogate insulin resistance and liver markers in individuals with metabolic syndrome chronic complications. Ther Adv Endocrinol Metab. 2020;11:2042018820958298. doi:10.1177/2042018820958298
   Web of Science ®Google Scholar
• Song P, Xu L, Xu J, et al. Atherogenic index of plasma is associated with body fat level in type 2 diabetes mellitus patients. Curr Vasc Pharmacol. 2018;16(6):589–595. doi:10.2174/1570161116666180103125456
   PubMed Web of Science ®Google Scholar