The relationship between exacerbated diabetic peripheral neuropathy and metformin treatment in type 2 diabetes mellitus

Scientific Reports, Journal Year: 2021, Volume and Issue: 11(1)

Published: Jan. 21, 2021

Abstract Metformin-treated diabetics (MTD) showed a decrease in cobalamin, rise homocysteine, and methylmalonic acid, leading to accentuated diabetic peripheral neuropathy (DPN). This study aimed determine whether or not metformin is risk factor for DPN. We compared MTD non-metformin-treated (NMTD) clinically using the Toronto Clinical Scoring System (TCSS), laboratory (methylmalonic homocysteine), electrophysiological studies. Median homocysteine acid levels vs. NMTD were 15.3 9.6 µmol/l; P < 0.001 0.25 0.13 = 0.02, respectively with high statistical significance MTD. There was significantly lower plasma level of cobalamin than NMTD. Spearman’s correlation significant negative between increased dose positive TCSS metformin. Logistic regression analysis that had longer use duration, higher > 2 g, TCSS, homocysteine. Diabetics treated prolonged duration doses associated more severe

Language: Английский

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Semiconducting Polymer Nanoparticles-Manganese Based Chemiluminescent Platform for Determining Total Antioxidant Capacity in Diabetic Mice

Analytical Chemistry, Journal Year: 2023, Volume and Issue: 95(16), P. 6603 - 6611

Published: April 12, 2023

The total antioxidant capacity (TAC) is a key indicator of the body's resistance to oxidative stress injury in diabetic patients. measurement TAC important for effectively evaluating redox state prevent and control occurrence diabetes complications. However, there lack simple, convenient, reliable method detect diabetes. Herein, we design novel chemiluminescent platform based on semiconducting polymer nanoparticles-manganese (SPNs-MnVII) urine mice. We synthesize nanoparticles with four different structures discover ability MnVII produce singlet oxygen (1O2) that employed excite thiophene-based SPNs (PFODBT) emit near-infrared chemiluminescence. Notably, intensity has good linear relationship concentration (detection limit: 2.8 μM). Because antioxidants (e.g., glutathione or ascorbic acid) can react MnVII, such tool (PFODBT)-MnVII acid larger responsive range. Furthermore, from mice evaluated via (PFODBT)-MnVII, are statistically significant differences between healthy Thus, this new efficient, sensitive, which promising monitoring therapy

Language: Английский

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Understanding the role of hyperglycemia and the molecular mechanism associated with diabetic neuropathy and possible therapeutic strategies

Biochemical Pharmacology, Journal Year: 2023, Volume and Issue: 215, P. 115723 - 115723

Published: Aug. 1, 2023

Language: Английский

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Hand and foot exercises for diabetic peripheral neuropathy: A randomized controlled trial

Nursing and Health Sciences, Journal Year: 2019, Volume and Issue: 22(2), P. 416 - 426

Published: Dec. 26, 2019

Abstract Exercises for diabetic peripheral neuropathy remain controversial, especially with regard to recommended precautions and weightbearing exercises individuals. We aimed investigate the effect of 8 weeks simple hand, finger, foot in patients neuropathy. After randomization, exercise (n = 51) control 53) groups received usual care education; only group performed exercises. Primary outcomes, including activities daily living (assessed using Patient Neurotoxicity Questionnaire), severity (monofilament vibration test), pain (behavioral rating scale Visual Analog Scale), secondary physical function hand (grip, pinch, finger counting time, Timed Up Go tests), were assessed at baseline, after 8‐week intervention, 16‐week follow‐up. The showed significantly stronger improvements motor score specific living, such as climbing stairs performing work or chores. Our can be used improve limb

Language: Английский

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Machine Learning-Based Diabetic Neuropathy and Previous Foot Ulceration Patients Detection Using Electromyography and Ground Reaction Forces during Gait

Sensors, Journal Year: 2022, Volume and Issue: 22(9), P. 3507 - 3507

Published: May 5, 2022

Diabetic neuropathy (DN) is one of the prevalent forms that involves alterations in biomechanical changes human gait. foot ulceration (DFU) pervasive types complications arise due to DN. In literature, for last 50 years, researchers have been trying observe DN and DFU by studying muscle electromyography (EMG) ground reaction forces (GRF). However, literature contradictory. such a scenario, we propose using Machine learning techniques identify patients EMG GRF data. We collected dataset from which three patient groups: Control (n = 6), previous history 9) lower limb muscles (tibialis anterior (TA), vastus lateralis (VL), gastrocnemius (GL)), components (GRFx, GRFy, GRFz). Raw signals were preprocessed, different feature extraction applied extract best features signals. The extracted list was ranked four ranking techniques, highly correlated removed. this study, considered combinations find performing identification DFU. trained eight conventional ML models: Discriminant analysis classifier (DAC), Ensemble classification model (ECM), Kernel (KCM), k-nearest neighbor (KNN), Linear (LCM), Naive Bayes (NBC), Support vector machine (SVM), Binary decision tree (BDC), best-performing algorithm optimized model. component features, performance matrix evaluated. Our study found KNN performed well identifying DFU, it before training. accuracy 96.18% top 22 chi-square technique GL VL combined. analysis, showed 98.68% 7 Feature selection neighborhood GRFx-GRFz signal. conclusion, our has shown potential solution application parameters. With careful signal preprocessing with strategic parameters, optimization can provide diagnosis stratification

Language: Английский

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Strategies for measuring non-evoked pain in preclinical models of neuropathic pain: Systematic review

Neuroscience & Biobehavioral Reviews, Journal Year: 2024, Volume and Issue: 163, P. 105761 - 105761

Published: June 7, 2024

Language: Английский

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The association of peripheral neuropathy detected by monofilament testing with risk of falls and fractures in older adults

Journal of the American Geriatrics Society, Journal Year: 2023, Volume and Issue: 71(6), P. 1902 - 1909

Published: March 21, 2023

Abstract Background In persons with diabetes, annual screening for peripheral neuropathy (PN) using monofilament testing is the standard of care. However, PN detected by common in older adults, even absence diabetes. We aimed to assess association risk falls and fractures adults. Methods included participants Atherosclerosis Risk Communities (ARIC) Study who underwent at visit 6 (2016–2017). Incident were identified based on ICD‐9 ICD‐10 codes from active surveillance all hospitalizations linkage Medicare claims. used Cox models (combined as separate outcomes) after adjusting demographics factors falls. Results There 3617 ARIC (mean age 79.4 [SD 4.7] years, 40.8% male, 21.4% Black adults), whom 1242 (34.3%) had testing. During a median follow‐up 2.5 371 documented fall, 475 fracture. The incidence rate (per 1000 person‐years) or versus those without was 111.1 74.3 ( p < 0.001). age‐, sex‐, race‐adjusted 3‐year cumulative incident fall fracture significantly higher (26.5% vs. 18.4%, After demographics, remained independently associated (HR 1.48, 95% CI 1.26, 1.74). similar including traditional falls, when analyzed outcomes, adjustment competing death. Conclusions PN, measured testing, adults Screening may be warranted identify high

Language: Английский

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Relationship between deep and superficial sensitivity assessments and gait analysis in diabetic foot patients

International Wound Journal, Journal Year: 2023, Volume and Issue: 20(8), P. 3023 - 3034

Published: April 14, 2023

Abstract Peripheral neuropathy is a prevalent complication of diabetes that can lead to gait impairment and its adverse consequences. This study explored the potential utility different parameters analysis using single sensor unit as simple tool detect peripheral in 85 diabetic patients (DP) with foot whom somato‐sensitivity tests feet were performed. Gait spatiotemporal examined by inertial measurement placed lumbar area, while superficial sensitivity pathway was assessed nociception deep light touch‐pressure vibration tests. Correlations between each sensory test analysed logistic regression model order assess if are associated two pathways. Impaired pathways significantly ( P < .05) correlated lower speed, reduced cadence, smaller stride length, longer stance periods, higher risk falling on Tinetti Scale, all .01) pathway. Type 2 diabetics have vibratory than type 1 diabetics, years mellitus (DM) diagnosis significant association sensitivity. These findings indicate relationships impairments DP measured sensors, which could be useful diagnose alterations evaluate effect treatments improve thus falls patients.

Language: Английский

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Protocol for evaluating the effects of a foot-ankle therapeutic exercise program on daily activity, foot-ankle functionality, and biomechanics in people with diabetic polyneuropathy: a randomized controlled trial

BMC Musculoskeletal Disorders, Journal Year: 2018, Volume and Issue: 19(1)

Published: Nov. 14, 2018

Diabetic polyneuropathy (DPN) negatively affects foot and ankle function (strength flexibility), which itself the daily physical activity quality of life patients. A therapy protocol aiming to strengthen intrinsic extrinsic muscles increase flexibility may be a promising approach improve lower-extremity function, prevent further complications, autonomy for living activities in these Thus, inclusion specific foot-related exercises focused on main musculoskeletal impairments have additional effects conventional interventions diabetic foot.

Language: Английский

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Wearable Sensor for Assessing Gait and Postural Alterations in Patients with Diabetes: A Scoping Review

Medicina, Journal Year: 2021, Volume and Issue: 57(11), P. 1145 - 1145

Published: Oct. 22, 2021

Background and Objectives: Diabetes mellitus is considered a serious public health problem due to its high prevalence related complications, including gait posture impairments neuropathy vascular alterations the subsequent increased risk of falls. The patients with diabetes characterized by main spatiotemporal parameters such as velocity, cadence, stride time length, which are also known worsen disease course. Wearable sensor systems can be used for analysis providing postural control (evaluated from perspective body sway), useful investigating progression. Thanks their small size low cost components, inertial measurement units (IMUs) easy wear cheap tools movement analysis. Materials Methods: aim this study review articles published in last 21 years (from 2000 2021) concerning application wearable sensors assess mellitus. Relevant were searched Medline database using PubMed, Ovid Cochrane libraries. Results: One hundred four initially identified while searching scientific literature on topic. Thirteen selected analysed review. motion useful, noninvasive, low-cost, objective performing diabetic patients. IMUs worn at lumber levels, tibias or feet, different static assessed. Conclusions: Future research should focus standardizing setup selecting most informative

Language: Английский

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