Deteriorated regional calf microcirculation measured by contrast-free MRI in patients with diabetes mellitus and relation with physical activity

1. Perry, BD, Caldow, MK, Brennan-Speranza, TC, et al. Muscle atrophy in patients with type 2 diabetes mellitus: roles of inflammatory pathways, physical activity and exercise. Exerc Immunol Rev 2016; 22: 94–109.
Google Scholar | Medline2. Hastings, MK, Mueller, MJ, Woodburn, J, et al. Acquired midfoot deformity and function in individuals with diabetes and peripheral neuropathy. Clin Biomech 2016; 32: 261–267.
Google Scholar | Crossref | Medline3. Bittel, DC, Bittel, AJ, Tuttle, LJ, et al. Adipose tissue content, muscle performance and physical function in obese adults with type 2 diabetes mellitus and peripheral neuropathy. J Diabetes Complications 2015; 29: 250–257.
Google Scholar | Crossref | Medline | ISI4. Tuttle, LJ, Hastings, MK, Mueller, MJ. A moderate-intensity weight-bearing exercise program for a person with type 2 diabetes and peripheral neuropathy. Phys Ther 2012; 92: 133–141.
Google Scholar | Crossref | Medline5. Cheuy, VA, Hastings, MK, Commean, PK, et al. Muscle and joint factors associated with forefoot deformity in the diabetic neuropathic foot. Foot Ankle Int 2016; 37: 514–521.
Google Scholar | SAGE Journals | ISI6. Cheuy, VA, Hastings, MK, Commean, PK, et al. Intrinsic foot muscle deterioration is associated with metatarsophalangeal joint angle in people with diabetes and neuropathy. Clin Biomech 2013; 28: 1055–1060.
Google Scholar | Crossref | Medline | ISI7. Pienaar, PR, Micklesfield, LK, Levitt, NS, et al. Insulin resistance is associated with lower acetylcholine-induced microvascular reactivity in nondiabetic women. Metab Syndr Relat Disord 2014; 12: 178–184.
Google Scholar | Crossref | Medline8. Barrett, EJ, Liu, Z, Khamaisi, M, et al. Diabetic microvascular disease: an endocrine society scientific statement. J Clin Endocrinol Metab 2017; 102: 4343–4410.
Google Scholar | Crossref | Medline | ISI9. Womack, L, Peters, D, Barrett, EJ, et al. Abnormal skeletal muscle capillary recruitment during exercise in patients with type 2 diabetes mellitus and microvascular complications. J Am Coll Cardiol 2009; 53: 2175–2183.
Google Scholar | Crossref | Medline | ISI10. Naz, I, Walters, E, Akbari, CM, et al. Noninvasive vascular assessment of lower extremity wounds in diabetics: are we able to predict perfusion deficits? Surg Technol Int 2017; 31: 66–74.
Google Scholar | Medline11. Groen, MB, Knudsen, TA, Finsen, SH, et al. Reduced skeletal-muscle perfusion and impaired ATP release during hypoxia and exercise in individuals with type 2 diabetes. Diabetologia 2019; 62: 485–493.
Google Scholar | Crossref | Medline12. Lin, WY, Kao, CH, Hsu, CY, et al. Evaluation of tissue perfusion by the Xe-133 washout method in lower limbs of patients with noninsulin-dependent diabetes mellitus. Clin Nucl Med 1995; 20: 449–452.
Google Scholar | Crossref | Medline13. Xu, ZH, Chen, JH, Huang, FB, et al. Evaluation of skeletal muscle microcirculation and reserve function of the type 2 diabetes with contrast-enhanced ultrasonography. Ultrasound Q 2020; 36: 38–42.
Google Scholar | Crossref | Medline14. Alvelo, JL, Papademetris, X, Mena-Hurtado, C, et al. Radiotracer imaging allows for noninvasive detection and quantification of abnormalities in angiosome foot perfusion in diabetic patients with critical limb ischemia and nonhealing wounds. Circ Cardiovasc Imaging 2018; 11: e006932.
Google Scholar | Crossref | Medline15. Edalati, M, Hastings, MK, Muccigrosso, D, et al. Intravenous contrast-free standardized exercise perfusion imaging in diabetic feet with ulcers. J Magn Reson Imaging 2019; 50: 474–480.
Google Scholar | Crossref | Medline16. Zheng, J, An, H, Coggan, AR, et al. Non-contrast skeletal muscle oximetry. Magn Reson Med 2014; 71: 318–325.
Google Scholar | Crossref | Medline17. Zheng, J, Hasting, MK, Zhang, X, et al. A pilot study of regional perfusion and oxygenation in calf muscles of individuals with diabetes with a noninvasive measure. J Vasc Surg 2014; 59: 419–426.
Google Scholar | Crossref | Medline | ISI18. Boss, A, Martirosian, P, Claussen, CD, et al. Quantitative ASL muscle perfusion imaging using a FAIR-TrueFISP technique at 3.0 T. NMR Biomed 2006; 19: 125–132.
Google Scholar | Crossref | Medline19. Wu, WC, Wang, J, Detre, JA, et al. Hyperemic flow heterogeneity within the calf, foot, and forearm measured with continuous arterial spin labeling MRI. Am J Physiol Heart Circ Physiol 2008; 294: H2129–H2136.
Google Scholar | Crossref20. Kim, SG. Quantification of relative cerebral blood flow change by flow-sensitive alternating inversion recovery (FAIR) technique: application to functional mapping. Magn Reson Med 1995; 34: 293–301.
Google Scholar | Crossref | Medline | ISI21. Belle, V, Kahler, E, Waller, C, et al. In vivo quantification of cardiac perfusion in rats using a noninvasive MR spin-labeling method. J Magn Reson Imaging 1998; 8: 1240–1245.
Google Scholar | Crossref | Medline22. Zhang, H, Shea, SM, Park, V, et al. Accurate myocardial T1 measurements: toward quantification of myocardial blood flow with arterial spin labeling. Magn Reson Med 2005; 53: 1135–1142.
Google Scholar | Crossref | Medline23. Yablonskiy, DA, Haacke, EM. Theory of NMR signal behavior in magnetically inhomogeneous tissues: the static dephasing regime. Magn Reson Med 1994; 32:749–763.
Google Scholar | Crossref | Medline | ISI24. An, H, Lin, W. Quantitative measurements of cerebral blood oxygen saturation using magnetic resonance imaging. J Cereb Blood Flow Metab 2000; 20: 1225–1236.
Google Scholar | SAGE Journals | ISI25. An, H, Lin, W. Impact of intravascular signal on quantitative measures of cerebral oxygen extraction and blood volume under normo- and hypercapnic conditions using an asymmetric spin echo approach. Magn Reson Med 2003; 50: 708–716.
Google Scholar | Crossref | Medline | ISI26. Kalliokoski, KK, Knuuti, J, Nuutila, P. Blood transit time heterogeneity is associated to oxygen extraction in exercising human skeletal muscle. Microvasc Res 2004; 67: 125–132.
Google Scholar | Crossref | Medline | ISI27. Dipietro, L, Caspersen, CJ, Ostfeld, AM, et al. A survey for assessing physical activity among older adults. Med Sci Sports Exerc 1993; 25: 628–642.
Google Scholar | Crossref | Medline | ISI28. Coggan, AR, Abduljalil, AM, Swanson, SC, et al. Muscle metabolism during exercise in young and older untrained and endurance-trained men. J Appl Physiol 1993; 75: 2125–2133.
Google Scholar | Crossref | Medline29. Sadamoto, T, Bonde-Petersen, F, Suzuki, Y. Skeletal muscle tension, flow, pressure, and EMG during sustained isometric contractions in humans. Eur J Appl Physiol Occup Physiol 1983; 51: 395–408.
Google Scholar | Crossref | Medline | ISI30. Zou, H, Hastie, T. Regularization and variable selection via the elastic net. J R Stat Soc B 2005; 67: 301–320.
Google Scholar | Crossref31. An, H, Liu, Q, Chen, Y, et al. Evaluation of MR-derived cerebral oxygen metabolic index in experimental hyperoxic hypercapnia, hypoxia, and ischemia. Stroke 2009; 40: 2165–2172.
Google Scholar | Crossref | Medline | ISI32. Lindegaard Pedersen, B, Bækgaard, N, Quistorff, B. Mitochondrial dysfunction in calf muscles of patients with combined peripheral arterial disease and diabetes type 2. Int Angiol 2017; 36: 482–495.
Google Scholar | Crossref | Medline33. Mogensen, M, Sahlin, K, Fernström, M, et al. Mitochondrial respiration is decreased in skeletal muscle of patients with type 2 diabetes. Diabetes 2007; 56: 1592–1599.
Google Scholar | Crossref | Medline34. Hart, CR, Layec, G, Trinity, JD, et al. Oxygen availability and skeletal muscle oxidative capacity in patients with peripheral artery disease: implications from in vivo and in vitro assessments. Am J Physiol Heart Circ Physiol 2018; 315: H897–H909.
Google Scholar | Crossref | Medline

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