Analysis of gait characteristics and related factors in patients with Parkinson's disease based on wearable devices.

BACKGROUND: Postural instability and gait disorder dominant (PIGD) is one of the most common disabling symptoms of Parkinson's disease (PD), which seriously affects patients' quality of life. Therefore, it is essential to identify PIGD and develop targeted interventions to reduce the risk of PIGD in PD patients. AIM: This study aimed to investigate the gait characteristics of PD patients based on wearable devices and to establish a predictive model for their related influencing factors. METHODS: The retrospective medical records of patients from January 2020 to September 2023 were collected, including 159 patients with PD (divided into PIGD [n = 73] and non-PIGD [n = 86] groups) and 200 healthy patients (as the healthy control group). Information from social demographic data, a blood test, scale scores, gait analysis based on wearable devices, white matter lesions, and the Fazekas scale was extracted and analyzed. RESULTS: Compared with the healthy control group, the mean step length, mean rate, mean angular velocity, and step length were lower in the PD group, while the mean steps were higher in the turning test. The incidence of PIGD was 46% in PD patients, and PD patients with the non-tremor onset mode were more likely to develop PIGD than those with the tremor onset mode. Compared to the non-PIGD group, the PIGD group showed more serious gait problems in different experimental tasks and had a higher Hoehn and Yahr (H-Y) stage, Hamilton Anxiety Scale (HAMA) score, Hamilton Depression Scale score, periventricular white matter (PVWM) score, deep white matter score, and Fazekas scale score, but they had lower hemoglobin levels, D-dimer levels, Tinetti Balance scores, Tinetti Gait scores, Berg Balance Scale scores, and Mini-Mental State Examination (MMSE) scores. Logistic regression analysis showed that the MMSE score was negatively correlated with the occurrence of PIGD, while the HAMA score, H-Y stage, PVWM score, and non-tremor form of onset were positively correlated with the occurrence of PIGD CONCLUSION: The incidence of gait disorder in PD patients is higher than that in the normal population. Moreover, cognitive dysfunction, anxiety state, H-Y stage, PVWM score, and the non-tremor mode of onset can be considered independent risk factors for PIGD.

Regional Neural Activity Changes in Parkinson's Disease-Associated Mild Cognitive Impairment and Cognitively Normal Patients.

PURPOSE: The aim of this study was to compare regional homogeneity (ReHo) changes in Parkinson's disease mild cognitive impairment (PD-MCI) patients with respect to normal controls (NC) and those with cognitively normal PD (PD-CN). Further, the study investigated the relationship between ReHo changes in PD patients and neuropsychological variation. PATIENTS AND METHODS: Thirty PD-MCI, 19 PD-CN, and 21 NC subjects were enrolled. Resting state functional magnetic resonance imaging data of all subjects were collected, and regional brain activity was measured for ReHo. Analysis of covariance for ReHo was determined between the PD-MCI, PD-CN, and NC groups. Spearman rank correlations were assessed using the ReHo maps and data from the neuropsychological tests. RESULTS: In comparison with NC, PD-CN patients showed significantly higher ReHo values in the right middle frontal gyrus (MFG) and lower ReHo values in the left supramarginal gyrus, bilateral inferior parietal lobule (IPL), and the right postcentral gyrus (PCG). In comparison with PD-CN patients, PD-MCI patients displayed significantly higher ReHo values in the right PCG, left middle occipital gyrus (MOG) and IPL. No significant correlation between ReHo indices and the neuropsychological scales was observed. CONCLUSION: Our finding revealed that decreases in ReHo in the default mode network (DMN) may appear before PD-related cognitive impairment. In order to preserve executive attention capacity, ReHo in the right MFG in PD patients lacking cognition impairment increased for compensation. PD-MCI showed increased ReHo in the left MOG, which might have been caused by visual and visual-spatial dysfunction, and increased ReHo in the left IPL, which might reflect network disturbance and induce cognition deficits.

Changes of gut microbiota during silybin-mediated treatment of high-fat diet-induced non-alcoholic fatty liver disease in mice.

AIM: Gut microbiota are involved in the pathogenesis of non-alcoholic fatty liver disease (NAFLD). Silybin (Sil), a naturally occurring hepatoprotective agent, is widely used for treating NAFLD. Whether Sil affects gut microbiota during its actions in treating NAFLD is unknown. We aimed to examine the effect of Sil on intestinal flora dysbiosis induced by a high-fat diet (HFD). METHODS: After 10 weeks of feeding normal chow diet or HFD, mice were given a daily gavage for 8 weeks. Cecal contents were harvested for study of short-chain fatty acids, bile acids, and gut microbiota alteration. RESULTS: Sil showed protective effects against dietary-induced obesity and liver steatosis; accordingly, gut microbiota composition changed. At the phylum level, compared with the HFD group, mice in the Sil-treated group had significantly lower levels of Firmicutes, and the ratio of Firmicutes-to-Bacteroidetes was lower (P < 0.05). At the genus level, the Sil-treated group have significantly lower levels of Lachnoclostridium, Lachnospiraceae_UCG-006, and Mollicutes_RF9, which were reported to be potentially related to diet-induced obesity, and increased levels of Blautia (P < 0.05), Akkermansia (P < 0.05), and Bacteroides (P < 0.05), which are known to have a beneficial effect on improving NAFLD. Sil also showed an inhibitory effect on well-known beneficial bacteria, such as Alloprevotella and Lactobacillus. Furthermore, the production of acetate, propionate, and butyrate increased, whereas the generation of formate and conversion of cytotoxic secondary metabolites (lithocholic acid and deoxy-cholic acid) decreased in mice treated with Sil. CONCLUSIONS: Sil might have beneficial effects on ameliorating NAFLD and mediating HFD-induced change of gut microbiota composition, followed by major changes in secondary metabolites, such as short-chain fatty acids and bile acids.

Highly Stretchable All-Rubber-Based Thread-Shaped Wearable Electronics for Human Motion Energy-Harvesting and Self-Powered Biomechanical Tracking.

The development of stretchable smart electronics has attracted great attentions due to their potential applications in human motions energy collection systems and self-powered biomechanical tracking technologies. Here, we present a newly stretchable all-rubber-based thread-shaped triboelectric nanogenerator (TENG) composed of the silver-coated glass microspheres/silicone rubber as the stretchable conductive thread (SCT) and the silicone rubber-coated SCT (SSCT) as the other triboelectric thread. The stretchable all-rubber-based thread-shaped TENG (SATT) generates an open-circuit voltage of 3.82 V and short-circuit current of 65.8 nA under the 100% strain and can respond to different finger motion states. Furthermore, the self-powered smart textile (SPST) woven by the SCT and SSCT units has two kinds of working mechanisms about stretch-release and contact-separation modes. The stretching-releasing interaction between knitting units can generate an open-circuit voltage of 8.1 V and short-circuit current of 0.42 µA, and the contacting-separating mode occurs between cotton and two types material outside the SPST producing peak voltage of 150 V and peak current of 2.45 µA. To prove the promising applications, the SPST device is capable to provide electrical energy to commercial electronics and effectively scavenge full-range biomechanical energy from human joint motions. Therefore, this work provides a new approach in the applications of stretchable wearable electronics for power generation and self-powered tracking.

Influencing factors of hemorrhagic transformation in non-thrombolysis patients with cerebral infarction.

OBJECTIVES: Hemorrhagic transformation (HT) is a serious complication of acute cerebral infarction. The aim of study is to investigate the influencing factors of HT in non-thrombolysis patients with acute cerebral infarction, and to explore its clinical significance. PATIENTS AND METHODS: From June 2016 to March 2017, a total of 346 non-thrombolysis patients with acute cerebral infarction hospitalized in the Department of Neurology of Guangdong Second Provincial General Hospital, were chosen and randomly devided into the non-HT group (control) and HT group. A record of 17 indices including the patients'age, gender, hypertension, diabetes, dyslipidemia, hyperhomocystinemia, atrial fibrillation, drinking or smoking, anticoagulation, antithrombosis, international normalized ratio (INR) and platelet count were measured. Then regression analysis was made to find the independent factors for HT. RESULTS: It was found that 38 of non-thrombolysis patients with acute cerebral infarction involved in this study were with HT. The indices including dyslipidemia, drinking, atrial fibrillation, antiplatelet aggregation, anticoagulation, INR > 1.7, cholesterin, triglyceride and platelet count showed statistical differences between the HT group and the non-HT group (P < 0.05). According to the binary logistic regression analysis, there was a negative correlation between dyslipidemia and HT (odds ratio (OR)=0.371, 95% confidence interval (CI) 0.186-0.740, P = 0.005), while there was a positive correlation between atrial fibrillation (OR=2.476, 95% CI 1.140-5.377, P=0.022), platelet count (OR=1.006, 95% CI 0.682-1.611, P = 0.007), INR>1.7 (OR=10.889, 95% CI 4.760-24.910, P = 0.000) and HT. CONCLUSION: There is independent correlation between dyslipidemia, atrial fibrillation, platelet count, INR > 1.7 and HT. Dyslipidemia is the protective factor for HT, and atrial fibrillation, platelet count, INR > 1.7 are the risk factors for HT.