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Review Article

Early Diabetic Neuropathy?

Juan Manuel Duarte*

1University Hospital “Jose de San Martin”, Department of Internal Medicine- School of Medicine, University of Buenos Aires, Argentine Republic
2Deutsches Hospital- Department of Neurosciences- Buenos Aires, Argentine Republic
2Department of Physiology- School of Medicine- University of Buenos Aires, Argentine Republic

*Address for Correspondence: Juan Manuel Duarte, University Hospital “Jose de San Martin”, Department of Internal Medicine- School of Medicine, University of Buenos Aires, Argentine Republic, E-mail: jduarte@hospitalaleman.com

Submitted: 21 August 2017; Approved: 27 September 2017; Published: 28 September 2017

Citation this article: Duarte JM. Early Diabetic Neuropathy. Sci J Neurol Neurosurg. 2017;3(3): 052-058. .

Copyright: © 2017 Duarte JM. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

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Diabetic neuropathy is one of the major complications in patients with type-1 and type-2 Diabetic Mellitus (DM). This disorder is the main contributing factor to the increased risk of foot ulceration an amputation in such patients [1], together with higher mortality rate as well as a huge economic burden. In older adults with type-2 DM, the risk of falling is higher than those without DM, resulting in deleterious consequences such as hospitalization and injury-related death: neuropathy is strongly linked to falling [2].

According to the San Antonio Conference on Diabetic Neuropathy, this is a demonstrable disorder, either clinically evident or subclinical, in the setting of DM, without other causes for peripheral neuropathy [3]. It develops as the result of a long-standing hyperglycaemia, associated with the accumulation of advanced glycation end-products, poliol shunting, lipid abnormalities and microvessel alterations [4].

Diabetic polyneuropathy is the most common and earliest complication of DM and it may occur much earlier in patients with type-1 DM than in patients with type-2 DM. In the former, hyperglycaemia has a main pathophysiological effect, while in the latter, other factors such as obesity, hypertension, high serum LDL concentration and hypertriglyceridemia may contribute to nerve injury [5]. In type-2 DM the impairment of nerve starts early in glycemic dysregulation prior to overt hyperglycaemia. Impaired glucose tolerance appears to be a possible factor for chronic axonal neuropathy, mostly painful, so small fibers might be the first ones to be impaired. Moreover, patients with “near impaired glucose intolerance” might benefit neurologically from intense dietary and physical exercise interventions [6]. Neurofilament m-RNA levels can be found to be higher in pre-diabetic patients´ serum which might indicate axonal damage induced by transient hyperglycaemia. Inhibition of nitric oxide-mediated vasodilation may lead to tissue ischaemia in peripheral nerves, which could cause neuropathy in pre-diabetics [7]. The presence of insulin resistance might play an important role in the development of peripheral neuropathy in the metabolic syndrome due to the attenuation of the neurotrophic effects of insulin, thus resulting in mitochondrial dysfunction [8]. Metabolic syndrome, other than impaired glucose tolerance may represent independent risk factors for peripheral neuropathy: this may be related to the role of dyslipemia in neuropathy development, due to cellular and molecular consequences related to nitric-oxide inhibition, vascular dysregulation and oxidative injury. Therefore, there seems to be a link between obesity, adiposity, insulin resistance and neuropathy pathogenesis [9].

The lifetime incidence of neuropathy is approximately 45% for patients with type-2 DM, and 54% for patients with type-1 DM Neuropathic pain occurs in 7.5 to 24% of all patients [10]. Diabetic polyneuropathies can be classified into generalized (with typical and atypical varieties), and focal or multifocal groups [4]. Fifty percent of patients are asymptomatic [5].

As regards the diagnosis of diabetic peripheral neuropathy, according to the American Academy of Neurology, there is good evidence that symptoms alone have a poor diagnostic accuracy in predicting the presence of neuropathy. Signs are better predictors than symptoms; multiple signs are better predictors than single signs; and simple examinations are as accurate as complex scoring systems [2,11]. The American Diabetes Association recommends that all patients with diabetes should be screened at diagnosis in type-2 DM, and 5 years after diagnosis in type-1 DM, and screening should be repeated annually. Clinical evaluation should include a careful history and assessment of either temperature or pinprick sensation, and vibration sensation using a 128-Hz tuning fork, as well as, annual 10-g monofilament testing to identify feet at risk of ulceration and amputation [12].

The Norfolk QOL-DN was developed and validated to measure the patient´s perceptions of the effects of neuropathy: this is a nerve-specific questionnaire for evaluating the quality of life in patients with diabetic neuropathy, with a >75% sensitivity, and 71-89%, specificity 90.9% positive predictive value and 85-90% negative predictive value [13].

The Michigan Neuropathy Screening Instrument was created to facilitate the early diagnosis of diabetic neuropathy with high sensitivity and specificity. To confirm the diagnosis, the Michigan Disability Neuropathic Score was designed to play an important role [14].

The Utah Early Neuropathy Scale was designed specifically to detect and quantify early small-fiber sensory neuropathy, and is more sensitive than Michigan Disability Neuropathy Score. This is a simple, rapid and reproducible examination [15].

Diabetic neuropathy should be staged whether it is symmetric or asymmetric. Stage 0 means no neuropathy; Stage 1, asymptomatic neuropathy; Stage 2, symptomatic neuropathy; Stage 3, disabling neuropathy [16]. The diagnosis of asymptomatic or preclinical neuropathy is crucial in order to stop progression to advanced or irreversible stages, and to prevent further complications [10]. Once symptoms appear, there are few effective therapeutic strategies [17]. Signs and symptoms have a low prevalence in early diabetes; by electrophysiology, 15.2% of patients were diagnosed early neuropathy [1].

The Semmes-Weinstein Monofilament (SWM) is an inexpensive, reliable and painless device for primary and special care physicians. A positive result is associated with an increased risk of ulceration and lower extremity amputation, with a negative result, such risk is lower. In spite of the lack of standardization for its use, SWM is a practical tool to be used in primary care [18]. However, the use of SWM is not recommended to be used as the sole tool to diagnose neuropathy [19]. Bijli et al designed footboards for screening peripheral neuropathy with a high level of performance ion detecting at-risk feet [20].

Standard nerve conduction studies are the method of choice for In detecting neuropathy, as they are specific, sensitive and validated means of nerve function impairment [21]. Besides the use of standard techniques (motor and sensory conduction studies), some techniques should be included. A sural/radial amplitude ratio less than 0.5, with a normal standard sensory nerve conduction study had 90% sensitivity and specificity in one study [22]. Composite scores should be considered in search of abnormality, as they are more sensitive, reproducible and indicative of the polyneuropathy severity than individual attributes of nerve conduction [23]. Upper limbs should be evaluated as well, as median neuropathy could be used to identify an early manifestation of diabetic neuropathy [24,25]. Sensory nerve excitability testing may be a potential screening tool for the detection of subclinical neuropathy [26]. Motor nerve excitability of the common peroneal nerve was assessed in type-1 adolescents: reduced axonal excitability was demonstrated in diabetic patients, compared to their controls in one study. The authors proposed this compound muscle action potential scan technique might be useful to detect subclinical neuropathy [27].

The San Antonio Conference on Diabetic Neuropathy recommended the inclusion of F-waves in the battery of electrodiagnostic test [3]. Assessment of F-waves is a better measure for detecting early conduction changes as it studies a diffuse process [22,28-30]. H-reflex studies have been found to have a role in early neuropathy as well [17,31,32]. Long latency responses are simple to determine, as well as it is reproducible and can be performed in any EMG laboratory since there is no need of specialised equipment [31].

Small fibers may be damaged in the early stage of DM leading to an early impairment of pain and temperature sensations. Moreover, it has been demonstrated an early and subclinical selective damage of small nerve fibers both in type-1 and type 2 DM patients [33]. Besides, patients with impaired glucose tolerance more often had neuropathy restricted to small nerve fibers than patients with DM who had more often involvement of both small and large nerve fibers in on study [34]. Small fiber neuropathy is easily missed by standard electrophysiological techniques, so other methods ought to be used to quantify peripheral small fiber dysfunction [35].

Quantitative Sensory Testing (QST) enables an assessment of sensory thresholds related to large and small fiber function. This test should be included in diabetic polyneuropathy evaluation, even in the pre-clinical stage. QST should not be used as the sole criteria for diagnosing neuropathy, but may be a good measure of the longitudinal worsening [36]. However, QST is highly subjective, highly variable and has limited reproducibility [37].

The cutaneous silent period was described by Hoffmann in 1922, and assesses a spinal inhibitory reflex after an electrical stimulus of a sensory nerve. It can be obtained in any EMG device [38], and has been used to study A-delta fibers in peripheral neuropathy [39]. It may be a useful method for the early detection of diabetic small fiber neuropathy [36,40,41].

Sympathetic Skin Responses (SSR) serves in the early diagnosis of autonomic neuropathy [42]. In some studies, abnormalities included absence of SSR, prolonged latency and lowered amplitude in early diabetic [43,44], and impaired glucose tolerance neuropathy [45]. SSR may deteriorate earlier than cardiac vagal function.

Sudoscan was recently developed to test sweat gland function non-invasively. Based on reverse iontophoresis and chronoamperometry, this device measures Electrochemical Skin Conductance, and might have a potential as a quick screening test for early diabetic neuropathy, and for assessment of response to therapeutic interventions in diabetic patients [46-50], with a similar diagnostic efficiency to skin biopsy [51].

Neuropad is an easy-to-use patch that assesses plantar sweat production through a color change from blue to pink with a sensitivity of 95% and specificity of 68.9%. This indicator test contributes to encourage patients´ self examination and promotes education about foot care [52]. Neuropad response was quantified through the use of sudometrics software with a higher sensitivity and specificity for detecting small finer damage in one study [53].

Quantitative Sudomotor Axon Reflex Test (QSART), which assesses sympathetic sudomotor response to chemical or electrical stimuli. Thus, representing functions of postganglionic sympathetic sudomotor neurons [54], has been found to evaluate early diabetic neuropathy more precisely than SSR [55]. However, it is time consuming and requires special equipment which is not available in all clinics [56].

Corneal confocal microscopy is an imaging instrument in which the cornea is illuminated with a focused light spot and then is focused by an objective lens into a small focal volume, permitting improved optical sectioning of the cornea and a three-dimensional reconstruction [57]. It quantifies early small nerve fiber damage, and has a high sensitivity and specificity for detecting diabetic polyneuropathy. Moreover, it detects subclinical prediabetic nerve injury [37], even before reduction of intraepidermal nerve density [58]. However, it cannot be applied in all centers due to the lack of equipment and staff [41].

Skin biopsy is currently the gold standard to quantify small fibers which are invisible to conventional neurophysiological tests even though they might be affected in early neuropathy. It is commonly performed using a 3mm punch under sterile technique with topical anaesthesia, and assesses the density of Intraepidermal Nerve Fiber Density (IENFD) by marking nerve fibers with PGP 9.5, a pan-axonal marker. The result is expressed as IENF per millimetre [59]. Intraepidermal denervation is an independent indicator of neuropathy. Besides, the clinical management of diabetic neuropathy is follow-up under treatment [60]. Epidermal nerve fiber density is abnormally decreased in only about three-fourths of patients suspected of having small fiber neuropathy. Therefore, a normal biopsy does not exclude small fiber neuropathy [61,62]. The disadvantage is that this test is invasive, costly, and requires specialist histological technique to quantify IENFD [37].

Cardiac Autonomic Neuropathy (CAN) may occur very early in the course of type-2 DM patients. Subtle autonomic function abnormalities may begin before the diagnosis of diabetes mellitus, even before insulin resistance, during the initiation of metabolic syndrome [63]. CAN is progressively impaired with increasing severity of insulin-resistance: hyperinsulinemia takes effect on hypothalamus, and thus has a sympathoexcitatory effect which is associated with parasympathetic withdrawal [64]. The prevalence of CAN is 7.7% at diagnosis of type-1 DM patients, and 5% at diagnosis of type-2 DM patients. Patients may be asymptomatic for decades: earlier diagnosis is needed before it is symptomatic because CAN is an independent risk factor for cardiovascular mortality [65].

The Survey of Autonomic Symptoms can be an aid in the early detection and diagnosis of early diabetic CAN [66]. However, cardiovascular reflex tests are gold standard in clinical autonomic testing. The combination of these tests with those of sudomotor function may allow a more accurate diagnosis of autonomic neuropathy [67]. If possible, time domain (four Ewing tests), and spectral analysis frequency bands (three tests) should be used: if two of seven tests are abnormal, then CAN is incipient. In absence of spectral analysis, Ewing tests should be performed: if one of the four tests is not normal, then CAN is early or incipient [65]. In (table 1), there appear all neurophysiological tests that should be used to diagnose early diabetic neuropathy.

Non-electrophysiological studies, such as magnetic resonance imaging [68] or nerve ultrasound [69,70] were tested for early diagnosis of neuropathy, with promising results. Magnetic resonance neurography with the use of high-field scanners (3 TESLA) and T2-weighed imaging sequences with strong fat suppression might enable the visualization of early fascicular nerve lesions that remain undetected by nerve conduction studies [68].

In one study, through magnetic resonance neurography, a predominant site of microstructural nerve alteration was found at the thigh level with a strong proximal-to-distal gradient. Nerve proton spin density at the thigh level might be a novel biomarker for early diabetic neuropathy in the future [71]. On the other hand, tibial nerve sonoelastography was assessed in diabetic patients with and without neuropathy, compared to healthy control: sonoelastography was decreased in patients without neuropathy and further decreased in those with neuropathy; besides, the cross-sectional area of the tibial nerve larger in patients than in controls: the larger the cross-sectional area is, the more severe the neuropathy results [70].

In one study, the association between early retinal abnormalities (measured by spectral-domain optical coherence tomography) and CAN (measured by cardiac autonomic function tests) was found in type-2 DM patients: eyes with retinal nerve fiber layer defects had a significantly thinner average ganglion cell-inner plexiform layer in patients with early and definite CAN: the authors emphasize the utility of the search of retinal early abnormalities. Careful attention is recommended to patients with abnormal thinning in macular cell-inner plexiform layer, as this has a strong association with CAN [72].

In one study TyG index (Triglyceride-Glucose Index) showed a positive correlation with some autonomic tests (heart rate variation during deep breathing, heart rate variation during standing, blood pressure response to handgrip and blood pressure response to standing). This index might be useful as an alternative tool for the early screening for diabetic autonomic neuropathy [73].

123 Iodine-Metaiodobenzylguanidine (123I-MIBG) SPECT imaging has its role in the diagnosis of early CAN. MIBG is a noradrenaline analogue, labelled with 123I for imaging: it is injected intravenously at rest, and planar and SPECT images of the myocardium are acquired fifteen minutes after injection and four hours thereafter. Healthy patients show a good uptake of the radiotracer, slightly lower in the inferior wall. Patients with symptomatic sympathetic neuropathy have a profound loss of myocardial uptake [74]. In the early stages of CAN, uptake is decreased in the inferior wall, and then progresses to adjacent segments. An inferior-to-anterior radio index is sensitive when assessing early neuropathy, even though global uptake indices remain within normal ranges [75]. Cardiac sympathetic dysinnervation is observed, through this imaging technique, before ECG-based cardiac autonomic neuropathy is diagnosed [76]. The explanation for this might be that abnormalities in cardiac sympathetic innervation occur prior to heart rate variability dysfunction, which assesses parasympathetic fibers [77]. In (table 2), there appear imaging techniques that can be useful for diagnosis of early neuropathy.

Glycemic control may be the most effective treatment to slow the progression of neuropathy or delay its onset in type-1 DM patients [78]. Intensive metabolic therapy is designed to achieve blood glucose values as close to normal as possible through the use of three or more injections of insulin per day, or insulin administration through pump. The Diabetes Control and Complications Trial (DCCT) showed that patients receiving intensive therapy had a significantly lower decrease in sensory nerve and peroneal amplitudes, and had less prolonged F-wave latencies than patients receiving conventional therapy. Besides, intensive treatment slowed the decrease of the R-R variation: intensive diabetes management reduces the prevalence of clinical and laboratory indicators of neuropathy [79].

On the other hand, in a Cochrane review, enhanced glucose control in type-2 DM patients does not significantly reduce the incidence of clinical neuropathy However, it significantly reduces nerve conduction and vibratory threshold abnormality. Therefore, more aggressive treatments of hyperglycaemia might delay the onset of diabetic neuropathy in such patients. Nevertheless, this has to be balanced against the significantly increased risk of hypoglycaemia which can lead to brain injury and death [80]. In a more recent meta-analysis (ACCORD, ADVANCE, UKPDS and VADT trials were analysed), intensive glucose control in type-2 DM patients reduced the risk of kidney and eye events, but not nerve events in a median five-year´s time [81] (table 3).

Since metabolic syndrome plays a central role in peripheral nerve injury, the treatment of metabolic changes is a sensible strategy as early in the disease course as possible. Once neuropathy is established, it is difficult to reverse. Besides lifestyle-based strategies such as improving diet, reducing weight and increasing exercise ought to be implemented; strategies to reduce sedentary behaviour should be followed when not exercising (i.e., by using a vibrotactile stimulator to remind patients to move if they sit or lie down for more than 20 minutes) [82]. In one study of 32 subjects with impaired glucose tolerance neuropathy, diet and exercise counselling was provided as a standard of care during one year follow-up. Body weight, glycaemia and cholesterol improved. Intraepidermal nerve fiber density and QSART significantly improved, as well as pain after the intervention [83]. In another study, patients with type-2 DM without neuropathy were assigned to quarterly lifestyle counselling or structured supervised weekly exercise for one year. In the group with supervised exercise, distal leg IENFD increased, but in the counselling cohort, it remained unchanged: preclinical injury to unmyelinated axons may be reversible [84]. As metabolic syndrome is associated with early reduced IENFD, supervised exercise-induced improvement in metabolic syndrome increased cutaneous reinnervation even in those patients who improved only one feature of the syndrome. Besides, both weight loss and exercise reduce sympathetic nervous system over activity that characterizes this syndrome [85] (table 3).

Physical activity improves autonomic nervous system function: it enhances heart rate variability by increasing large artery compliance: in this way, baroreceptor nerve traffic and parasympathetic tone is increased. Furthermore, brain stem cardiorespiratory system may be remodelled: this results in the reduction of sympathetic and the enhancement of parasympathetic nerve outflow: heart-rate vagal modulation turns higher and cardiorespiratory fitness generally improves. Moderate intensity exercise training is beneficial for autonomic function in type-1 and type-2 DM patients with early CAN. Moderate endurance and aerobic exercise improve cardiac autonomic function [86]. Patients suspected to have CAN should undergo a cardiac stress test before starting an exercise program. CAN, once developed, may not be reversible with lifestyle intervention [87] (table 3).

Alpha-lipoid acid, a natural product which plays an essential role in mitochondrial energetic reactions, has been used as an antioxidant in managing diabetic complications: it quenches reactive oxygen species, chelates metal ions, reduces the oxidized forms of other antioxidants (vitamin C, vitamin D and glutathione), and boosts antioxidant defence by regulating several genes. Besides it has anti-inflammatory effects [88]. Its use has been studied as a co-adjuvant therapy in the metabolic syndrome (in which modest reductions of plasma nonesterified fatty acid concentrations has been seen, without alterations of glucose or insulin plasma levels) [89], obese patients (with a slight reduction of body weight and body mass index; however, more studies are needed for confirmation) [90], and early diabetic nephropathy (lipoic acid might protect the kidney in early diabetes mellitus against oxidative stress) [91]. α-lipoic acid is a safe and effective drug for the treatment of symptomatic diabetic neuropathy [92,93], as well as autonomic neuropathy [94,95]. Benfothiamine [96] and epalrestat [97], have beneficial effects in patients with symptomatic diabetic neuropathy. Studies on the effects of α-lipoic acid, benfothiamine and aldose-reductase inhibitors on early, asymptomatic neuropathy are needed. Some animal studies on the effects of olive leaf extracts [98] and coenzyme Q10 [99] have shown promising results.

In conclusion, impairment of the peripheral nervous system occurs early in the course of type-1 and type-2 DM patients. Its diagnosis in the pre-clinical stage is mandatory, as well as challenging, since successful treatment with diet and lifestyle intervention may be warranted before symptoms appear.

  1. Malik RA. Which test for diagnosing early diabetic neuropathy? Diabetes 2014; 63: 2206-8. https://goo.gl/9oJQJ9
  2. Vinik AI, Casellini C, Nevoret ML. Alternative quantitative tools in the assessment of diabetic peripheral and autonomic neuropathy. Int Rev Neurobiol. 2016; 127: 235-85. https://goo.gl/kCmNhK
  3. American Diabetes Association, American Academy of Neurology. Report and recommendations of the San Antonio Conference on Diabetic neuropathy. Diabetes Care 1988; 11: 592-7. https://goo.gl/GA2jkd
  4. Dyck PJ, Albers JW, Andersen H, Arezzo JC, Biessels GJ, Bril V, et al. Diabetic polyneuropathies: update on research definition, diagnostic criteria and estimation of severity. Diabetes Metab Res Rev 2011; 27: 620-8. https://goo.gl/7TE8xs
  5. Won JC, Park TS. Recent advances in diagnostic strategies for diabetic peripheral neuropathy. Endocrinol Metab 2016; 31: 230-8. https://goo.gl/6N6Znp
  6. Rajabally YA. Neuropathy and impaired glucose tolerance: un updated review of the evidence. Acta Neurol Scand 2011; 124: 1-8. https://goo.gl/cmkoeQ
  7. Celikbilek A, Tanik N, Sabah S, Borecki E, Akyol L, Ak H, et al. Elevated neurofilament light chain (NLC) mRNA levels in pre-diabetic peripheral neuropathy. Mol Biol Rep 2014; 41: 4017-22. https://goo.gl/hoM9rV
  8. Han L, Ji L, Chang J, Wen J, Zhao W, Shi H, et al. Peripheral neuropathy is associated with insulin resistance independent of metabolic syndrome. Diabetol Metab Syndr 2015; 3; 7: 14. https://goo.gl/S6VzWp
  9. Gordon Smith A, Rose K, Sibgleton R. Idiopathic neuropathy patients are a t high risk for metabolic syndrome. J Neurol Sci 2008; 273: 25-8. https://goo.gl/v9FcQr
  10. Russell JW, Zilliox LA. Diabetic Neuropathies. Continuum (Minneap Minn) 2014; 20: 1226-40. https://goo.gl/j1xte4
  11. England JD, Gronseth GS, Franklin G, Miller RG, Asbury AK, Carter GT, et al. Distal symmetric polyneuropathy: a definition for clinical research: Report of the American Academy of Neurology, the American Association of Electrodiagnostic medicine, and the American Academy of Physical medicine and Rehabilitation. Neurology 2005; 64: 199-207. https://goo.gl/V8r7Vq
  12. American Diabetes Association. Standards of Medical Care in Diabetes. Microvascular complications and foot care. Diabetes Care 2017; 40: 88-98. https://goo.gl/Fsph53
  13. Vinik E, Hayes RP, Oglesby A, Bastyr E, Barlow P, Ford-Molvik SL, et al. The development and validation of the Norfolk QOL-DN, a new measure of patients´ perception of the effects of diabetes and diabetic neuropathy.  Diabetes Technol Ther 2008; 7: 497-508. https://goo.gl/4A4hpz
  14. Feldman EL, Stevens MJ, Thomas PK, Brown MB, Canal M, greene DA. Quantitative clinical and electrophysiological assessment for the diagnosis and staging of diabetic neuropathy. Diabetes Care 1994; 17: 1281-9. https://goo.gl/ZVwBkT
  15. Singleton JR, Bixby B, Russell JW, Feldman EL, Peltier A, Goldstein J, Howard J, Smith AG. The Utah Early Neuropathy Scale: a sensitive clinical scale for early sensory predominant neuropathy. J Periph Nerv Syst 2008; 13: 218-27. https://goo.gl/XiqNRt
  16. Dyck PJ. Detection, characterization and staging of polyneuropathy: assessed in diabetics. Muscle Nerve 1988; 11: 21-32. https://goo.gl/5yFjSJ
  17.  Toopchizadeh V, Shiva S, Khiabani NY, Ghergherechi R. Electrophysiologic pattern and prevalence of subclinical peripheral neuropathy in children and adolescents with type-1 diabetes mellitus in Iran. Saudi Med J 2016; 37: 299-303. https://goo.gl/gQjyrR
  18. Feng Y, Schossler PJ, Sumpio BE. The Semmes-Weinstein monofilament is a significant predictor of the risk of foot ulceration and amputation in patients with diabetes mellitus. J Vasc Surg 2011; 53: 220-6. https://goo.gl/PRCywK
  19. Dros J, Wewerinke A, Bindels PJ, von Weert HC. Accuracy of monofilament testing to diagnose peripheral neuropathy: a systematic review. Ann Fam Med 2009; 7: 555-8. https://goo.gl/TzcRcF
  20. Bijly AH, Rasool A, Wani AH, Yasir M, Bhat TA, Laway BA. Footboards: Indigenous and Novel Method of Screening for Diabetes Peripheral Neuropathy- A Pilot Study. Indian J Endocrinol Metab 2017; 21: 293-6. https://goo.gl/xLE1hG
  21. Hillienmark L, Alstrand N, Jonsson B, Ludvigson J, Cooray G, Wahlberg-Topp J. Early electrophysiological abnormalities and clinical neuropathy. Diabetes Care 2013; 36: 3187-94. https://goo.gl/9RW97D
  22. Shin JB, Seone YJ, Lee HJ, Kim SH, Suk H, Lee YJ. The usefulness of minimal F-wave latency and sural/radial amplitude ratio in diabetic polyneuropathy. Yonsei Med J 2000; 41: 393-7. https://goo.gl/5knPXG
  23. Dyck PJ, Litchy W, Daube JR, Harper M, Dyck JB, Davies J, et al. Individual attributes versus composite scores of nerve conduction abnormality: sensitivity, reproducibility and concordance with impairment. Muscle Nerve 2003; 27: 202-10. https://goo.gl/zYtbmU
  24. Albers JW, Brown MB, Sima AAF, Greene DA, Frequency of median nerve mononeuropathy in patients with mild diabetic polyneuropathy in the early diabetes intervention trial (EDIT). Muscle Nerve 1996; 19: 140-6. https://goo.gl/PnEmLo
  25. Horinouchi S, Deguchi T, Arimura K, Arimura A, Dochi Y, Uto T, et al. Median neuropathy at the wrist as an early manifestation of diabetic neuropathy. J Diabetes Invest 2014: 5: 709-13. https://goo.gl/eGe8yd
  26. Sung JY, Tani J, Chang TS, Lin CSY. Uncovering sensory axonal dysfuntion in asymptomatic type-2 diabetic neuropathy. PLoS One 2017; 12: 0171223. https://goo.gl/E7vrmF
  27. Van der Heyden JC, van der Meer P, Birnie E, de Coo FM, Castro Cabezas M, Ozcan B, et al. Decreased excitabity of the distal motor nerve of young patients with type-1 diabetes mellitus. Pediatr Diabetes 2013; 14: 519-25. https://goo.gl/zjjqZt
  28. Andresen H, Stalberg E, Falck B. F-wave latency, the most sensitive nerve conduction parameter in patients with diabetes mellitus. Muscle Nerve 1997; 20: 1296-302. https://goo.gl/By2Vsw
  29. Kohara N, Kimura J, Kaji R, Goyo Y, Ishii J, Takiguchi M, Nakai M. F-wabe latency serves as the most reproductible measure in nerve conduction studies of diabetic polyneuropathy: multicenter analysis in healthy patients and patients with diabetic polyneuropathy. Diabetologia 2000; 43: 915-21. https://goo.gl/PK8vLS
  30. Pan H, Jian F, Lin J, Chen N, Zhang C, Zhang Z, et al. F-wave latencies in patients with diabetes mellitus. Muscle Nerve 2014; 49: 804-8. https://goo.gl/9FuZMK
  31. Lachman T, Shahani BT, Young RR. Late responses as aids to diagnosis in peripheral neuropathies. J Neurol Neurosurg Psychiatry 1980; 41: 45-53. https://goo.gl/RdGpyS
  32. Marya RK, Chandran AP, Maini BK, Gupta RR. Role of the H-reflex latency studies in the diagnosis of subclinical diabetic neuropathy. Ind J Physiol Pharmac 1986; 30: 133-8. https://goo.gl/NqZWGd
  33. Pozzessere G, Rossi P, Gabriele A, Cipriani R, Morocutti A, Di Mario U, et al. Early detection of small fiber neuropathy in Diabetes. Diabetes Care 2000; 25: 2355-7. https://goo.gl/aYUFhD
  34. Sumner CJ, Sheth S, Griffin JW, Cornblath DR, Polydefkis M. The spectrum of neuropathy in diabetes and impaired glucose tolerance. Neurology 2003; 60: 108-11. https://goo.gl/inUuVH
  35. Yaman M, Uluduz D, Yuksel S, Pay G, Kiziltan ME. The cutaneous silent period in diabetes mellitus. Neurosci Lett 2007; 419: 258-62. https://goo.gl/oaaE2g
  36. Shy ME, Frohman EM, So YT, Arezzo JC, Cornblath DR, Giuliani MJ, et al. Quantitative sensory testing. Report of the therapeutics and technology assessment subcomitee of the American Academy of Neurology. Neurology 2003; 60: 898-904. https://goo.gl/RbDfer
  37. Tavakoli M, Petroupoulos IN, Malik RA. Corneal confocal microscopy to assess diabetic neuropathy. J Diabetes Sci Technol 2013; 7: 1179-89. https://goo.gl/wfBCKn
  38. Hoops Arango B. Cutaneous silent period. Rev Col Med Fis Rehab 2012; 22: 58-69. https://goo.gl/TeHkNy
  39. Svilpauskaite J, Truffert A, Vaiciene N, Magistris MR. Electrophysiology of small peripheral nerve fibers in man. A study using the cutaneous silent period. Medicina (Kaunas) 2006; 42: 300-12. https://goo.gl/ewyUFk
  40. Onal MR, Ulas UH, Oz O, Bek VS, Yucel M, Talispinar A, et al. Cutaneous silent period changes in type-2 diabetes mellitus patients with small fiber neuropathy. Clin Neurophysiol 2010; 121: 714-8. https://goo.gl/QubmqJ
  41. Koytac PK, Isak B, Borucu D, Uluk K. Assessment of symptomatic diabetic patients with normal nerve conduction studies: utility of cutaneous silent period and autonomic tests. Muscle Nerve 2011; 43: 317-23. https://goo.gl/R1UnyK
  42.  Clauss D, Schondorf R. Sympathetic skin response. In Recommendations for the practice of Clinical neurophysiology: Guidelines of the IFCN. Published by Elsevier Science BV. 1999. https://goo.gl/E2w5wq
  43. Braune HJ, Horter C. Sympathetic skin responses in diabetic neuropathy: a prospective clinical and neurophysiological trial on 100 patients. J Neurol Sci 1996; 138: 120-4. https://goo.gl/WzXxmR
  44. Zhijun LI, Xiaoqin HU, Tang N. Significance of Neurophysiological Tests in the early diagnosis of sub-clinical neuropathy with diabetes mellitus. J Huazhong Univ Sci Technol 2006; 26: 429-31.
  45. Isak B, Oflazoglu B, Tanridag T, Yitmen I, Us O. Evaluation of peripheral and autonomic neuropathy among patients with newly diagnosed impaired glucose tolerance. Diabetes Metab Res Rev 2008; 24: 563-9. https://goo.gl/kCJkLm
  46. Mayaudon H, Miloche PO, Bauduceau B. A new simple method for assessing sudomotor function: Relevance in type-2 diabetes. Diabetes Metab 2010; 36: 450-4. https://goo.gl/ULau69
  47. Yajnik CS, Kantikar VV, Pande AJ, Deslypere JP. Quick and simple evaluation of sudomotor function for screening of diabetic neuropathy. ISRN Endocrinol 2012. https://goo.gl/KRdv2t   
  48. Casellini CM, Parson HK, Richardson MS, Nevoret ML, Vinik AI. SUDOSCAN, a non-invasive tool for detecting diabetic small fiber neuropathy and autonomic dysfunction. Diabetes Technol Ther 2013; 15: 948-53. https://goo.gl/urJXJM
  49. Selvarajah D, Cash T, Davies J, Sankar A, Rao G, Grieg M, et al. SUDOSCAN: A simple, rapid and objective method with potential for screening for diabetic peripheral neuropathy. PloS ONE 2015; 10: e0138224. https://goo.gl/t9GqSd
  50. Mao F, Liu S, Qiao X, Zheng H, Xiong Q, Wen J, et al. Sudoscan is an effective screening method for asymptomatic diabetic neuropathy in chinese type-2 diabetes mellitus patients. J Diabetes Investig 2016. https://goo.gl/jyEmD6
  51. Smith AG, Lessard M, Singleton JR. The diagnostic utility of SUDOSCAN for distal symmetric peripheral neuropathy. J Diabetes Complications 2014; 28: 511-6. https://goo.gl/qkqnpX
  52. Papanas N, Papatheodorou K, Papazoglou D, Christakidis D, Monastiriotis C, Maltezos E. The new indicator test: a valuable diagnostic tool for small fiber impairment in patients with type-2 diabetes. Diabetes Educ 2007; 33: 251-8, 60, 62. https://goo.gl/qygXxE
  53. Ponirakis G, Fadavi H, Petropoulos IN, Azmi S, Ferdousi M, Dabbah M, et al. Automated quantification of Neuropad improves its diagnostic ability in patients with diabetic neuropathy. J Diabetes Res 2015. https://goo.gl/snYWQ9
  54. Shimada H, Kihara M, Kosaka S, Ikeda H, Kawabata K, Tsutada T, et al. Comparison of SSR and QSART in early diabetic neuropathy- the value of length-dependent pattern in QSART. Auton Neurosci 2001; 92: 72-5. https://goo.gl/zHfDua
  55. Sommer P, Kluschina O, Scley M, Namer B, Schmelz M, Rukwied R. Electrically induced quantitative sudomotor axon test in human volunteers. Auton Neurosci 2011; 159: 111-6. https://goo.gl/op9Mbj
  56. Ravits JM. AAEM minimonograph #48: autonomic nervous system testing. Muscle Nerve 1997; 20: 919-37. https://goo.gl/xtTXHq
  57. Guthoff RF, Zhivov A, Stachs O. In vivo confocal microscopy, an inner vision of the cornea- a major review. Clin Expermient Ophtalmol 2009; 37: 100-17. https://goo.gl/2UT38J
  58. Azmi S, Ferdousi M, Petropoulos IN, Ponirakis G, Alam U, Fadavi H, et al. Corneal comnfocal microscopy identifies small-fiber neuropathy in subjects with impaired glucose tolerance who develop type-2 diabetes. Diabetes Care 2015; 38: 1502-8. https://goo.gl/Ka6QHN
  59. Lauria G, Lombardi R, Camozzi F, Devigli G. Skin biopsy for the diagnosis of peripheral neuropathy. Histopathology 2009; 54: 273-85. https://goo.gl/vXPcXG
  60. Sommer C, Lauria G. Skin biopsy in the management of peripheral neuropathy. Lancet Neurol 2007; 6: 632-42. https://goo.gl/pZLUWd
  61. Periquet MJ, Novak V, Collins MP, Nagaraja HN, Erdem S, Nash SM, et al. Painful sensory neuropathy. Prospective evaluation using skin biopsy. Neurology 1999; 53: 1641-1647. https://goo.gl/qZQpH9
  62. Saperstein DS, Levine TD. Diagnosing small fiber neuropathy through the use of skin biopsy. Pract Neurol 2009; 8: 37-40. https://goo.gl/qZKfu9
  63. Zoppini G, Cacciatori V, Raimondo D, Gemma M, Trombetta M, Dauriz M, et al. The prevalence of cardiovascular autonomic nuropathy in a cohort of patients with newly diagnosed type-2 diabetes. The Verona Newly Diagnosed Type-2 Diabetes Study (VNDS). Diabetes Care 2015; 38: 1487-93. https://goo.gl/nnFxKy
  64. Voulgari C, Pagoni S, Vinik A, Poirier P. Exercise improves cardiac autonomic function in obesity and diabetes. Metabolism 2012. https://goo.gl/Su1UaM
  65. Rolim LC, Sa JR, Chacra AR, Dib SA. Diabetic cardiovascular autonomic neuropathy: risk factors, clinical impact and early diagnosis. Arq Bras Cardiol (online) 2008; 90: 223-32. https://goo.gl/o3xmtC
  66. Zilliox L, Peltier AC, Wren PA, Anderson A, Smith AG, Singleton JR, et al. Assessing autonomioc dysfunction in the early diabetic neuropathy. The Survey of Autonomic Symptom. Neurology 2011; 76: 1099-105. https://goo.gl/eafmEv
  67. Tesfaye S, Boulton AJM, Dyck PJ, Freeman R, Horowitz M, Kempler P, et al. Diabetic neuropathies: update on definitions, diagnostic care, estimation of severity, and treatments. Diabetes Care 2010: 33: 2285-93. https://goo.gl/AE4ZfL
  68. Vaeggemose M, Ringgaard S, Ejskjaer N, Andersen H. Mgnetic Resonance Imaging may be used for early evaluation of diabetic peripheral neuropathy. J Diabetes Sci Technol 2015; 9: 162-3. https://goo.gl/CK65Sg
  69. Pitarokopilli K, Kerasnoudis A, Behredt V, Labedi A, Ayzenberg I, Golo R, et al. Facing the diagnostic challenge: Nerve Ultrasound in diabetic patients with neuropathic symptoms. Muscle Nerve 2016; 54: 18-24. https://goo.gl/JMWsr1
  70. Ishibashi F, Taniguchi M, Kojima R, Awasaki A, Kosaka A, Uetake H. Elasticity of the tibial nerve assessed by sonoelastography was reduced before the development of neuropathy and further deterioration associated with the severity of neuropathy un type-2 diabetes. J Diabetes Investig 2016; 7: 404-12. https://goo.gl/ey5ZAC
  71. Pham M, Oikonomou D, Hornung B, Weiler M, Heiland S, Baumer P, et al. Magnetic resonance neurography detects diabetic neuropathy early and with proximal predominance. Ann Neurol 2015; 78: 939-48. https://goo.gl/7YGDDs
  72. Choi A, Kim HW, Kwon JW, Shim YS, Jee DH, Yun JS, et al. Early inner retinal thinning and cardiovascular autonomic dysfunction in type-2 diabetes. PloS ONE 2017; 12: e0174377. https://goo.gl/KqW8Z3
  73. Akbar M, Bhandari U, Habib A, Ahmad R. Potential association of triglyceride glucose index with cardiac autonomic neuropathy in type-2 diabetes mellitus patients. J Korean Sci 2017; 32: 1131-8. https://goo.gl/R2NBBp
  74. Scott LA, Kench PL. Cardiac autonomic neuropathy in the diabetic patient. Does 123I-MIBG imaging have a role to play in early diagnosis? I Nucl Med Technol 2004; 32: 66-71. https://goo.gl/Ypd6xQ
  75. Hattori N, Tamaki N, Hayashi T, Masuda I, Kudoh T, Tateno M, et al. Regional abnormality of Iodine-123-MIBG in diabetic hearts. J Nucl Med 1995; 36: 2133-7. https://goo.gl/M6WSdW
  76. Schnell O, Hammer K, Muhr-Becker D, Ziegler AG, Weiss M, Tatsch K, Standl E. Cardiac sympathetic dysinnervation in type-2 diabetes mellitus with and without ECG-based cardiac autonomic neuropathy. J Diabetes Complications 2006; 16: 220-7. https://goo.gl/ekpXjF
  77. Scholte AJHA, Schvijf JD, Delgado V, Kok JA, Bus MTJ, Maan AC, et al. Cardiac autonomic neuropathy in patients with diabetes and no symptoms of coronary artery disease: comparison of 123I-metaiodobenzylguanidine myocardial scintigraphy and heart rate variability. Eur J Nucl Med Mol Imaging 2010; 37: 1698-705. https://goo.gl/hVJZjx
  78. Shakher J, Stevens MJ. Update on the management of diabetic polyneuropathies. Diabetes Metab Syndr Obes 2011; 4: 289-305. https://goo.gl/Xwwe7g
  79. The Diabetes Control and Complications Trial research group: the effect of intensive diabetes therapy on the development and progression of neuropathy. Ann Intern Med 1995; 122: 561-8.
  80. Callaghan BC, Little AA, Feldman EL, Hughes RAC. Enhanced glucose control for preventing and treating diabetic neuropathy. Cochrane Database Syst Rev 2012; 6: CD007543. https://goo.gl/Da1rbq
  81. Zhoungas S, Arima H, Gerstein HC, Holman RR, Woodward M, Reaven P, Hayward RA, Craven T, Coleman RL, Chambers J, the collaborators on trials of lowering glucose (CONTROL) group. Effect of intensive glucose control on microvascular outcomes in patients with type-2 diabetes: a meta-analysis of individual participant data from randomised controlled trials. Lancet Diabetes Endocrinol 2017; 5: 431-7. https://goo.gl/TgfBZJ
  82. Stino AM, Gordon Smith A. Peripheral neuropathy in the prediabetes and the metabolic syndrome. J Diabetes Investig 2017. https://goo.gl/4Wdq2V
  83. Gordon Smith A, Russell J, Feldman EL, Goldstein J, Peltier A, Smith S, Hawmi J, Pollari D, Bixby B, Howard J, Singleton JR. Lifestyle intervention for pre-diabetic neuropathy. Diabetes Care 2006; 29: 1294-9. https://goo.gl/f9fYfF
  84. Singleton JR, Marcus RL, Jackson JE, Lessard MK, Graham TE, Smith AG. Exercise increases cutaneous nerve density in diabetic patients without neuropathy. Ann Clin Trans Neurol 2014; 1: 844-9. https://goo.gl/CEJphU
  85. Singleton JR, Marcus RL, Lessard M, Jackson JE, Gordon Smith A. Supervised exercise improves cutaneous reinnervation capacity in metabolic syndrome patients. Ann Neurol 2015; 77: 146-53. https://goo.gl/8yu7K8
  86. Khang SJ, Ko KJ, Baek UH. Effect of 12 weeks combined aerobic and resistance exercise on heart-rate variability in type-2 diabetes mellitus patients. J Phys Ther Sci 2016; 28: 2088-93. https://goo.gl/Tm86BC
  87. Pennathur S, Jaiswal M, White EA, Ang L, Raffel DM, Rubenfire M, et al. Structured lifestyle intervention in patients with the metabolic syndrome mitigates oxidative stress but fails to improve measures of cardiovascular autonomic neuropathy. J Diabet Compl 2017. https://goo.gl/8ug58z
  88. Golbidi S, Badran M, Laher I. Diabetes and alpha lipoic acid. Front Pharmacol 2011; 2: 69. https://goo.gl/65dqVk
  89. Manning PJ, Sutherland WHF, Williams SM, Walker RJ, Berry EA, De Jong SA, et al. The effect of lipoic acid and the vitamin E therapies in individuals with the metabolic syndrome. Nutr Metab Cardiovasc Dis 2013; 23: 543-9. https://goo.gl/UW51cn
  90. Namazi N, Larijani B, Azadbakht L. Alpha-lipoic acid supplement in obesity treatment. A systematic review and meta-analysis of clinical trials. Clin Nutr 2017. https://goo.gl/xVnXnd
  91. Sun H, Yao W, Tang Y, Zhuang W, Wu D, Huang S, Sheng H. Urinary exosomes as a novel biomarker for the evaluation of a-lipoic acid´s protective effect in early diabetic nephropathy. J Clin Lab Anal 2017; e22129. https://goo.gl/524ENC
  92. Ziegler D, Ametov A, Barinov A, Dyck PJ, Gurieva I, Low PA, et al. Oral treatment with a-lipoic acid improves symptomatic diabetic polyneuropathy. Diabetes Care 2006; 29: 2365-70. https://goo.gl/T5twV3
  93. Mijnhout GS, Kollen BJ, Alkhalaf A, Kleefstra N, Bilo HJG. Alpha Lipoic Acid for symptomatic peripheral neuropathy in patients with diabetes: a meta-analysis of randomized controlled trials. Int J Endocrinol 2012; 2012: 456279. https://goo.gl/a8rkcv
  94. Han T, Bai J, Liu W, Yaomin H. A systematic review and meta-analysis of a-lipoic acid in the treatment of diabetic peripheral neuropathy. Eur J Endocrinol 2012; 167: 465-71. https://goo.gl/83FfLm
  95. Ziegler D, Schatz H, Conrad F, Gries FA, Ulrich H, Reichel G, et al. Effects of treatment with the antioxidant alpha-lipoic acid on cardiac autonomic neuropathy in NIDDM patients. A 4-month randomized controlled multicentre trial (DEKAN Study): Diabetes Care 1997; 20; 369-373. https://goo.gl/YfBpcK
  96. Tankova T, Koev D, Dakovska L. Alpha-lipoic acid in the treatment of autonomic diabetic neuropathy (controlled, randomized, open-label study). Rom J Intern Med 2004; 42: 457-64. https://goo.gl/BzfJdH
  97.  Stacke H, Gaus W, Achenbach U, Federlin K, Bretzel RG. Benfotiamine in diabetic polyneuropathy (BENDIP): results of a randomised double-blind, placebo-controlled clinical study. Exp Clin Endocrinol Diabetes 2008; 116: 600-5. https://goo.gl/wuJ3rm
  98. Grewal AS, Bhardwaj S, Pandita D, Lather V, Sekhon BS. Updates on Aldose Reductase Inhibitors for management of diabetic complications ans non-diabetic diseases. Mini Rev Med Chem 2016; 16: 120-62. https://goo.gl/pzcsce
  99. Kaeidi A, Esmaeili-Mahani S, Sheibani V, Abbasnejad M, Rasoulian B, Hajializadeh Z, et al. Olive (Olea europaea L.) leaf extract attenuates early diabetic neuropathic pain through prevention of high-glucose-induced apoptosis: In vitro and in vivo studies. J Ethnopharmacol 2011; 136: 188-96. https://goo.gl/teZ4Uu
  100. Shi TJS, Zhang MD, Zeberg H, Nilssom J, Grunler J, Liu SX, et al. Coenzyme Q10 prevents peripheral neuropathy and attenuates neuron loss in the db-/db- mouse, a type 2 diabetes model. Proc Natl Acad Sci USA 2013; 110: 690-5. https://goo.gl/nLwBwT