Literature DB >> 31755662

Diabetic polyneuropathy: Progress in diagnostic strategy and novel target discovery, but stagnation in drug development.

Tatsuhito Himeno1, Hideki Kamiya1, Jiro Nakamura1.   

Abstract

Diagnostic strategy of diabetic polyneuropathy has progressed. In particular, Baba's classification on the severity of diabetic polyneuropathy using nerve conduction study and a point-of-care device of nerve conduction study will realize the objective quantitative evaluation of diabetic polyneuropathy.
© 2019 The Authors. Journal of Diabetes Investigation published by Asian Association for the Study of Diabetes (AASD) and John Wiley & Sons Australia, Ltd.

Entities:  

Year:  2019        PMID: 31755662      PMCID: PMC6944845          DOI: 10.1111/jdi.13188

Source DB:  PubMed          Journal:  J Diabetes Investig        ISSN: 2040-1116            Impact factor:   4.232


Diabetic polyneuropathy (DPN), one of the most prevalent diabetic complications, asymptomatically progresses in the early stages of the disease. Although early diagnosis is critical, as therapeutic intervention is often delayed, no consensus has been established for early diagnosis. However, fortunately, the recent development of objective quantitative tests that contribute to the diagnosis of DPN has been remarkable. The nerve conduction study (NCS) has long been known as the gold standard test for DPN diagnosis. In an attempt to further develop the possibilities of NCS, Baba et al.1 proposed an NCS‐based diagnosis and severity classification of DPN (Figure 1). Using this classification, it was reported that the cardiovascular prognosis deteriorated significantly after 5 years in the moderate‐to‐severe DPN groups2. Given this result, the reliability of this classification was validated; at the same time, the severity of DPN was recognized as an important factor to define the prognosis of diabetes patients. As NCS requires expensive equipment and well‐trained examiners, it is difficult to clinically popularize the use of NCS. However, the usefulness of the simple NCS device, NC‐stat/DPNCheck™ (Neurometrix, Inc., Waltham, MA, USA), which can reproduce a part of NCS, has been proven. Among studies considering the Asian population, Hirayasu et al.3 evaluated the difference in normal thresholds of the device between people of Japanese and Caucasian descent. Furthermore, the authors showed the reproducibility of the device for the Japanese population and the strong correlation with conventional NCS4. In the future, researchers should establish further effectiveness of this device in the diagnosis and severity assessment of DPN. Another aspect that can be used for diagnosis and evaluation of DPN is autonomic nervous dysfunction. R‐R interval variability in the electrocardiogram has mainly been used for the diagnosis of cardiovascular autonomic neuropathy, which is a major diabetic autonomic neuropathy5. However, a recent study reported that orthostatic hypotension, one of the symptoms of cardiovascular autonomic neuropathy, was found in the so‐called non‐dippers whose blood pressure does not show a normal fall during sleep, in which the cardiovascular prognosis was poor6. It would be necessary to verify the usefulness of the night‐time blood pressure variability as a new parameter of diabetic autonomic neuropathy.
Figure 1

Baba's classification: a diagnostic and staging algorithm for diabetic polyneuropathy based on nerve conduction study. CMAP, compound muscle action potential; MCV, motor nerve conduction velocity; SCV, sensory nerve conduction velocity; SNAP, sensory nerve action potential. Adapted/translated from Baba et al. 2, Japanese Journal of Clinical Neurophysiology, 2018, by permission of Japanese Society of Clinical Neurophysiology. This image/content is not covered by the terms of the Creative Commons license of this publication. For permission to reuse, please contact the rights holder.

Baba's classification: a diagnostic and staging algorithm for diabetic polyneuropathy based on nerve conduction study. CMAP, compound muscle action potential; MCV, motor nerve conduction velocity; SCV, sensory nerve conduction velocity; SNAP, sensory nerve action potential. Adapted/translated from Baba et al. 2, Japanese Journal of Clinical Neurophysiology, 2018, by permission of Japanese Society of Clinical Neurophysiology. This image/content is not covered by the terms of the Creative Commons license of this publication. For permission to reuse, please contact the rights holder. The relationship of DPN to newly‐highlighted diabetic complications has been illuminated by recent findings. Among musculoskeletal complications of diabetes, Charcot neuroarthropathy, also called diabetic neuropathic arthropathy, which is one of the conditions contributing to diabetic foot, has been identified for a long time, although its pathology has not been fully elucidated. One of the most popularly supported hypotheses is that the disease develops in patients with DPN and abnormal bone metabolism, when their condition is compounded by trauma or vascular disorders. It has been suggested that local inflammation, rather than DPN, is a critical factor in its pathogenesis7, 8. However, using a corneal confocal microscope, Khan et al.9 showed that severe impairment of small nerve fibers was associated with the disease. Although it is still difficult to explain the overall pathology of the disease, it was reconfirmed that the coexistence of DPN is an important factor in the underlying pathology. Sarcopenia has recently attracted attention in older adults with diabetes. Especially in advanced countries with an aging population, sarcopenia and subsequent frailty are becoming a major social issue that needs to be addressed10, 11. It has been reported that the prevalence of sarcopenia increases in diabetes patients12, and the prevalence further increases in patients with DPN13. Furthermore, it has been reported that the same functional deterioration of the musculoskeletal system is remarkable not only in the lower limbs, but also in the upper limbs14. We professionals should attend to the importance of DPN in upper limb dysfunction. Considering these new findings, in addition to the prevention and treatment of diabetic foot associated with severe DPN, countermeasure strategies against sarcopenia and frailty associated with mild DPN should be fully considered. In other words, the importance of early diagnosis and treatment of DPN must be recognized. However, there is no well‐established worldwide treatment protocol for DPN, although preferred regional treatments exist. For example, an aldose reductase inhibitor, epalrestat, is widely used in Japan. Epalrestat is highly effective in mild DPN, but has limited effectiveness in advanced DPN15. Although it is important to diagnose DPN at the early stage when epalrestat can be effective, early diagnosis and intervention are rarely achieved due to the limited availability of medical resources. Fortunately, a more effective aldose reductase inhibitor, ranirestat, has been developed in recent years. As ranirestat has been shown to ameliorate the parameters of NCS16, 17, it might improve the treatment of advanced DPN. In addition, preclinical studies are actively developing new treatments for DPN. Based on the reports that chronic inflammation associated with metabolic abnormalities also partially comprise the pathology in DPN18, the effect of omega‐3 polyunsaturated fatty acids that have anti‐inflammatory/anti‐oxidative effects was investigated19. The report showed that omega‐3 polyunsaturated fatty acids exerted neuroprotective effects through Nrf‐2 signaling19. Furthermore, it should be noted that attempts to elucidate new pathologies of DPN are steadily underway. As male sex has been shown as a risk factor for DPN in humans20, male rodents have been conventionally used as animal models for DPN. Paradoxically focusing on the current convention, one preclinical study attending to the insusceptibility of females to DPN has reported that DPN was less frequently induced in female rats, similarly to human females21. It is expected that the detailed mechanisms of their insusceptibility to DPN will be elucidated in the future. Additionally, there are prospective attempts to elucidate the pathophysiology of DPN; for example studies focusing on microribonucleic acids22, studies using metabolomics23 and studies focusing on sphingolipids24. We should carefully observe the future developments of DPN research.

Disclosure

The authors declare no conflict of interest.
  22 in total

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Authors:  E Chantelau; G J Onvlee
Journal:  Horm Metab Res       Date:  2006-06       Impact factor: 2.936

2.  Prevalence of diabetic peripheral neuropathy and relation to glycemic control therapies at baseline in the BARI 2D cohort.

Authors:  Rodica Pop-Busui; Jiang Lu; Neuza Lopes; Teresa L Z Jones
Journal:  J Peripher Nerv Syst       Date:  2009-03       Impact factor: 3.494

3.  Long-term clinical effects of epalrestat, an aldose reductase inhibitor, on progression of diabetic neuropathy and other microvascular complications: multivariate epidemiological analysis based on patient background factors and severity of diabetic neuropathy.

Authors:  N Hotta; R Kawamori; M Fukuda; Y Shigeta
Journal:  Diabet Med       Date:  2012-12       Impact factor: 4.359

Review 4.  Metabolomics window into diabetic complications.

Authors:  Tao Wu; Shuxuan Qiao; Chenze Shi; Shuya Wang; Guang Ji
Journal:  J Diabetes Investig       Date:  2017-09-13       Impact factor: 4.232

Review 5.  Diabetic neuropathy and the sensory neuron: New aspects of pathogenesis and their treatment implications.

Authors:  Masaki Kobayashi; Douglas W Zochodne
Journal:  J Diabetes Investig       Date:  2018-04-25       Impact factor: 4.232

6.  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®/DPNCheck™).

Authors:  Kazuhiro Hirayasu; Hideyuki Sasaki; Shohei Kishimoto; Seigo Kurisu; Koji Noda; Kenichi Ogawa; Hiroto Tanaka; Yumiko Sakakibara; Shohei Matsuno; Hiroto Furuta; Mikio Arita; Keigo Naka; Kishio Nanjo
Journal:  J Diabetes Investig       Date:  2018-03-06       Impact factor: 4.232

7.  Sarcopenia Prevalence and Risk Factors among Japanese Community Dwelling Older Adults Living in a Snow-Covered City According to EWGSOP2.

Authors:  Ya Su; Kengo Hirayama; Tian-Fang Han; Miku Izutsu; Michiko Yuki
Journal:  J Clin Med       Date:  2019-02-28       Impact factor: 4.241

8.  Aldose reductase inhibitor ranirestat significantly improves nerve conduction velocity in diabetic polyneuropathy: A randomized double-blind placebo-controlled study in Japan.

Authors:  Kenji Sekiguchi; Nobuo Kohara; Masayuki Baba; Tetsuo Komori; Yutaka Naito; Tomihiro Imai; Jo Satoh; Yasuyuki Yamaguchi; Tatsuto Hamatani
Journal:  J Diabetes Investig       Date:  2018-08-09       Impact factor: 4.232

9.  Determination of peripheral neuropathy in high-fat diet fed low-dose streptozotocin-treated female C57Bl/6J mice and Sprague-Dawley rats.

Authors:  Lawrence J Coppey; Hanna Shevalye; Alexander Obrosov; Eric P Davidson; Mark A Yorek
Journal:  J Diabetes Investig       Date:  2018-03-25       Impact factor: 4.232

10.  Corneal confocal microscopy detects severe small fiber neuropathy in diabetic patients with Charcot neuroarthropathy.

Authors:  Adnan Khan; Ioannis N Petropoulos; Georgios Ponirakis; Robert A Menzies; Omar Chidiac; Jennifer Pasquier; Charbel Abi Khalil; Talal K Talal; Rayaz A Malik
Journal:  J Diabetes Investig       Date:  2018-02-26       Impact factor: 4.232

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1.  Troponin T Is Negatively Associated With 3 Tesla Magnetic Resonance Peripheral Nerve Perfusion in Type 2 Diabetes.

Authors:  Johann M E Jende; Christoph Mooshage; Zoltan Kender; Lukas Schimpfle; Alexander Juerchott; Peter Nawroth; Sabine Heiland; Martin Bendszus; Stefan Kopf; Felix T Kurz
Journal:  Front Endocrinol (Lausanne)       Date:  2022-05-10       Impact factor: 6.055

2.  Updates in diabetic neuropathy: A call for new diagnostic and treatment approaches.

Authors:  Yoshimasa Aso
Journal:  J Diabetes Investig       Date:  2021-12-07       Impact factor: 4.232

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