Objective:To apply the Timed Up and Go Test(TUGT)to investigate the correlation between motor function, emotional state, cognitive function, and sleep quality among elderly individuals in the Chinese community.Methods:A cross-sectional study was conducted, involving 739 subjects aged 60 to 90 years, who were randomly recruited from December 2021 to August 2023 across Beijing, Tianjin, Zhejiang, Guangdong, and Hainan Provinces in China.Basic demographic information was collected, and the TUGT was utilized to assess motor function.Based on the TUGT time(t), the subjects were divided into three groups: normal motor function group, mild motor abnormality group, and significant motor abnormality group.Cognitive function was evaluated using the Chinese Revised Mini-Mental State Examination(MMSE), while the Patient Health Questionnaire Depression Scale(PHQ-9)was employed to measure the degree of depression.Additionally, the Epworth Sleepiness Scale(ESS)was used to assess excessive daytime sleepiness.The correlation between subjects' motor function and their cognitive abilities, mood, and sleep was subsequently analyzed.Results:Systolic blood pressure, heart rate, PHQ-9, MMSE, and ESS scores were identified as significant factors influencing TUGT time.Specifically, TUGT time was positively correlated with PHQ-9 and ESS scores, while exhibiting negative correlations with systolic blood pressure, heart rate, and MMSE scores.Additionally, TUGT time was negatively correlated with the MMSE subcomponents of orientation, immediate memory, and verbal ability.All observed differences were statistically significant(all P<0.05).Logistic regression analysis indicated that an increase in the PHQ-9 score was associated with an odds ratio( OR)of 1.099(95% CI: 1.045-1.155, P<0.001)(mild motor abnormality group)and 1.150(95% CI: 1.066-1.242, P<0.001)(Significant motor abnormality group).Additionally, a reduction in the MMSE score was observed, with an OR of 0.939(95% CI: 0.886-0.995, P<0.001)(mild motor abnormality group)and 0.793(95% CI: 0.729-0.862, P<0.001)(Significant motor abnormality group).Furthermore, an increase in the ESS score was noted, with ORs of 1.139(95% CI: 1.094-1.186, P<0.001)(mild motor abnormality group)and 1.203(95% CI: 1.132-1.279, P<0.001)(Significant motor abnormality group).These findings suggest that these variables are independently related to decreased motor function. Conclusions:Depression, cognitive impairment, and excessive daytime sleepiness are independent risk factors for motor dysfunction among elderly individuals in community settings.The Timed Up and Go Test TUGT can be utilized for the early screening of motor function decline in this population.

Objective:To explore the gait and eye movement parameters in early Parkinson's disease(PD)with sleep disorders, and analyze their association with underlying pathophysiological mechanisms.Methods:This study was a cross-sectional single-center design that included 82 early PD patients with Hoehn-Yahr(H-Y)staging ≤2.5 who visited Beijing Hospital from October 2023 to May 2025.Patients were divided into two groups according to the PDSS-2 score(total score ≤15 for the no sleep disorder group and total score >15 for the sleep disorder group). Gait and eye movement parameters were collected respectively through the ReadyGo system and the EyeKnow eye movement system, and analyzed in combination with clinical scales.Multivariate logistic regression was employed to identify independent characteristic parameters associated with sleep disorders.Results:In terms of gait, the sleep disorder group had significantly lower step speed, left-right stride speed, and left-right swing speed(all P<0.05), and significantly higher variability of left-right stride time( P=0.017, 0.026). Regarding eye movements, the sleep disorder group had significantly more vertical smooth pursuit offsets[(56.24±2.87)times vs.(45.98±18.18)times, P=0.040], significantly higher maximum real-time variability of the right eye in response to light stimuli(90.75 vs.67.95%, P=0.006), and a longer latency to error responses in the counter-scanning task(337.06 vs.286.63 ms, P=0.005). To precisely control for confounding factors, key covariates such as mood and disease severity were included in the multivariate logistic regression model.After comprehensive adjustment, higher anxiety levels(Hamilton Anxiety Rating Scale, HAMA)( OR=1.32, P<0.001)and an increased number of vertical smooth pursuit offsets( OR=1.06, P=0.010)were independent factors associated with sleep disorders in early PD patients. Conclusions:In early PD patients, sleep disorders are closely associated with specific abnormalities in gait and eye movement parameters.In particular, vertical smooth pursuit offsets may serve as an objective biomarker independent of emotional status, reflecting the dysfunction of shared neural circuits.However, further mechanism studies are needed to verify whether they reflect the dysfunction of shared neural circuits.

Objective:To evaluate gait characteristics in early-stage Parkinson′s disease (PD) patients using an artificial intelligence-based quantitative motor function assessment system (Readygo) and validate whether PD patients with clinically normal gait actually exhibit objective gait impairments, and to explore the features and progression patterns of gait dysfunction in early PD.Methods:This cross-sectional, single-center study enrolled early-stage PD patients (Hoehn-Yahr stage≤2.5) from outpatient or inpatient departments of Beijing Hospital between October 2023 and October 2024, along with accompanying caregivers as healthy controls (HCs). Demographic data (sex, age, education level) were collected, and cognitive, psychological, and sleep-related scales assessments were administered. Based on the gait score (Item 3.10) from the Movement Disorder Society-Unified Parkinson′s Disease Rating Scale-Ⅲ (MDS-UPDRS-Ⅲ), PD patients were stratified into 3 subgroups: PD-normal gait (score=0), PD-mild gait impairment (score=1), and PD-moderate gait impairment (score=2). The Readygo system quantified gait parameters, including step width, stride length, step height, gait speed, stride velocity, swing velocity, and turn duration. Binary Logistic regression was uesd to identify biomarkers differentiating PD-normal gait group from HCs.Results:A total of 66 early-stage PD patients and 34 HCs were enrolled. Across the HCs, PD-normal gait, PD-mild gait impairment and PD-moderate gait impairment groups, there was a progressive decline in gait speed [1.07 (0.97, 1.15) m/s vs 0.97 (0.90, 1.06) m/s vs 0.90 (0.82, 1.00) m/s vs 0.77 (0.72, 0.86) m/s, H=29.949, P<0.001], bilateral stride velocity [left: 1.14 (1.07, 1.21) m/s vs 1.06 (0.94, 1.14) m/s vs 0.95 (0.88, 1.04) m/s vs 0.86 (0.76, 0.93) m/s, H=30.778, P<0.001; right: 1.12 (1.04, 1.22) m/s vs 1.04 (0.95, 1.13) m/s vs 0.96 (0.90, 1.04) m/s vs 0.89 (0.77, 0.90) m/s, H=29.561, P<0.001], and bilateral swing velocity [left: (2.56±0.28) m/s vs (2.38±0.32) m/s vs (2.19±0.33) m/s vs (1.96±0.32) m/s, F=14.132, P<0.001; right: 2.46 (2.35, 2.62) m/s vs 2.35 (2.13, 2.62) m/s vs 2.22 (2.05, 2.36) m/s vs 2.03 (1.71, 2.13) m/s, H=25.771, P<0.001], along with a progressive shortening of bilateral step length [left: 1.19 (1.14, 1.27) m vs 1.15 (1.04, 1.22) m vs 1.05 (0.93, 1.18) m vs 0.95 (0.80, 1.06) m, H=32.613, P<0.001; right: 1.20 (1.14, 1.30) m vs 1.13 (1.03, 1.22) m vs 1.07 (0.90, 1.17) m vs 0.97 (0.80, 1.03) m, H=30.528, P<0.001]. Conversely, turning time progressively lengthened [1.20 (1.09, 1.49) s vs 1.21 (1.10, 1.46) s vs 1.30 (1.19, 1.51) s vs 1.98 (1.53, 2.12) s, H=23.195, P<0.001]. Logistic regression identified that the right stride length was a discriminative factor between HCs and PD-normal gait group ( OR=0.023, 95% CI 0-0.291, P=0.012). Conclusions:As gait dysfunction worsens, PD patients demonstrate gradual reductions in speed-related parameters and stride length, with increasing turn duration.Early PD patients with clinically normal gait may already exhibit subtle impairments. Right stride length may serve as a potential biomarker to distinguish PD patients from HCs.

Objective:To construct an ultrasound-responsive nano-oxygen carrier，and to enhance cell survival within myocardial patches and promote myocardial infarction（MI）repair.Methods:Ultrasound-responsive phase-change nanobubbles（ND）were first prepared and integrated into GelMA hydrogel to construct myocardial patches. Low-intensity pulsed ultrasound（LIPUS）irradiation was applied to explore whether the nanobubbles could optimize the hydrogel properties. Hemoglobin（Hb）was further encapsulated into the nanobubbles to construct an oxygen carrier（ND-Hb）. In vitro and in vivo experiments were conducted to evaluate whether the optimized myocardial patches could improve cell survival and facilitate MI repair. In vitro，cell-loaded patches were divided into 6 groups（control，ND，Hb，LIPUS，LIPUS+ND，and LIPUS+oxygen carrier groups）to assess the cell viability and protein expression. In vivo，an acute MI model was established in SD rats，which were randomly assigned to 4 groups（control，Hb，LIPUS+ND，and LIPUS+oxygen carrier groups）.Myocardial patches were implanted，and cardiac function（echocardiography），cell survival（BLI imaging），angiogenesis（CD31 and α-SMA immunofluorescence）and connexin protein expression（Cx43）were evaluated. Results:Following the incorporation of ND and LIPUS irradiation，scanning electron microscopy revealed numerous micropores（about 2 μm）within the hydrogel were observed by scanning electron microscopy. The nano-oxygen carrier was successfully constructed，with a particle size of（301.2 ± 92.4）nm，and released oxygen under LIPUS stimulation. In vitro，at days 3，7，and 14，the cell survival rates in the LIPUS+oxygen carrier group［（89.6 ± 2.1）%，（79.3 ± 1.8）%，（70.9 ± Conclusions:This study successfully employs LIPUS combined with ND-Hb to enhance hydrogel properties，facilitating nutrient exchange within myocardial patches. Additionally，ultrasound-mediated oxygen release improves seed cell survival and promotes myocardial infarction repair.

Objective:To apply the Timed Up and Go Test(TUGT)to investigate the correlation between motor function, emotional state, cognitive function, and sleep quality among elderly individuals in the Chinese community.Methods:A cross-sectional study was conducted, involving 739 subjects aged 60 to 90 years, who were randomly recruited from December 2021 to August 2023 across Beijing, Tianjin, Zhejiang, Guangdong, and Hainan Provinces in China.Basic demographic information was collected, and the TUGT was utilized to assess motor function.Based on the TUGT time(t), the subjects were divided into three groups: normal motor function group, mild motor abnormality group, and significant motor abnormality group.Cognitive function was evaluated using the Chinese Revised Mini-Mental State Examination(MMSE), while the Patient Health Questionnaire Depression Scale(PHQ-9)was employed to measure the degree of depression.Additionally, the Epworth Sleepiness Scale(ESS)was used to assess excessive daytime sleepiness.The correlation between subjects' motor function and their cognitive abilities, mood, and sleep was subsequently analyzed.Results:Systolic blood pressure, heart rate, PHQ-9, MMSE, and ESS scores were identified as significant factors influencing TUGT time.Specifically, TUGT time was positively correlated with PHQ-9 and ESS scores, while exhibiting negative correlations with systolic blood pressure, heart rate, and MMSE scores.Additionally, TUGT time was negatively correlated with the MMSE subcomponents of orientation, immediate memory, and verbal ability.All observed differences were statistically significant(all P<0.05).Logistic regression analysis indicated that an increase in the PHQ-9 score was associated with an odds ratio( OR)of 1.099(95% CI: 1.045-1.155, P<0.001)(mild motor abnormality group)and 1.150(95% CI: 1.066-1.242, P<0.001)(Significant motor abnormality group).Additionally, a reduction in the MMSE score was observed, with an OR of 0.939(95% CI: 0.886-0.995, P<0.001)(mild motor abnormality group)and 0.793(95% CI: 0.729-0.862, P<0.001)(Significant motor abnormality group).Furthermore, an increase in the ESS score was noted, with ORs of 1.139(95% CI: 1.094-1.186, P<0.001)(mild motor abnormality group)and 1.203(95% CI: 1.132-1.279, P<0.001)(Significant motor abnormality group).These findings suggest that these variables are independently related to decreased motor function. Conclusions:Depression, cognitive impairment, and excessive daytime sleepiness are independent risk factors for motor dysfunction among elderly individuals in community settings.The Timed Up and Go Test TUGT can be utilized for the early screening of motor function decline in this population.

Objective:To explore the gait and eye movement parameters in early Parkinson's disease(PD)with sleep disorders, and analyze their association with underlying pathophysiological mechanisms.Methods:This study was a cross-sectional single-center design that included 82 early PD patients with Hoehn-Yahr(H-Y)staging ≤2.5 who visited Beijing Hospital from October 2023 to May 2025.Patients were divided into two groups according to the PDSS-2 score(total score ≤15 for the no sleep disorder group and total score >15 for the sleep disorder group). Gait and eye movement parameters were collected respectively through the ReadyGo system and the EyeKnow eye movement system, and analyzed in combination with clinical scales.Multivariate logistic regression was employed to identify independent characteristic parameters associated with sleep disorders.Results:In terms of gait, the sleep disorder group had significantly lower step speed, left-right stride speed, and left-right swing speed(all P<0.05), and significantly higher variability of left-right stride time( P=0.017, 0.026). Regarding eye movements, the sleep disorder group had significantly more vertical smooth pursuit offsets[(56.24±2.87)times vs.(45.98±18.18)times, P=0.040], significantly higher maximum real-time variability of the right eye in response to light stimuli(90.75 vs.67.95%, P=0.006), and a longer latency to error responses in the counter-scanning task(337.06 vs.286.63 ms, P=0.005). To precisely control for confounding factors, key covariates such as mood and disease severity were included in the multivariate logistic regression model.After comprehensive adjustment, higher anxiety levels(Hamilton Anxiety Rating Scale, HAMA)( OR=1.32, P<0.001)and an increased number of vertical smooth pursuit offsets( OR=1.06, P=0.010)were independent factors associated with sleep disorders in early PD patients. Conclusions:In early PD patients, sleep disorders are closely associated with specific abnormalities in gait and eye movement parameters.In particular, vertical smooth pursuit offsets may serve as an objective biomarker independent of emotional status, reflecting the dysfunction of shared neural circuits.However, further mechanism studies are needed to verify whether they reflect the dysfunction of shared neural circuits.

Objective:To evaluate gait characteristics in early-stage Parkinson′s disease (PD) patients using an artificial intelligence-based quantitative motor function assessment system (Readygo) and validate whether PD patients with clinically normal gait actually exhibit objective gait impairments, and to explore the features and progression patterns of gait dysfunction in early PD.Methods:This cross-sectional, single-center study enrolled early-stage PD patients (Hoehn-Yahr stage≤2.5) from outpatient or inpatient departments of Beijing Hospital between October 2023 and October 2024, along with accompanying caregivers as healthy controls (HCs). Demographic data (sex, age, education level) were collected, and cognitive, psychological, and sleep-related scales assessments were administered. Based on the gait score (Item 3.10) from the Movement Disorder Society-Unified Parkinson′s Disease Rating Scale-Ⅲ (MDS-UPDRS-Ⅲ), PD patients were stratified into 3 subgroups: PD-normal gait (score=0), PD-mild gait impairment (score=1), and PD-moderate gait impairment (score=2). The Readygo system quantified gait parameters, including step width, stride length, step height, gait speed, stride velocity, swing velocity, and turn duration. Binary Logistic regression was uesd to identify biomarkers differentiating PD-normal gait group from HCs.Results:A total of 66 early-stage PD patients and 34 HCs were enrolled. Across the HCs, PD-normal gait, PD-mild gait impairment and PD-moderate gait impairment groups, there was a progressive decline in gait speed [1.07 (0.97, 1.15) m/s vs 0.97 (0.90, 1.06) m/s vs 0.90 (0.82, 1.00) m/s vs 0.77 (0.72, 0.86) m/s, H=29.949, P<0.001], bilateral stride velocity [left: 1.14 (1.07, 1.21) m/s vs 1.06 (0.94, 1.14) m/s vs 0.95 (0.88, 1.04) m/s vs 0.86 (0.76, 0.93) m/s, H=30.778, P<0.001; right: 1.12 (1.04, 1.22) m/s vs 1.04 (0.95, 1.13) m/s vs 0.96 (0.90, 1.04) m/s vs 0.89 (0.77, 0.90) m/s, H=29.561, P<0.001], and bilateral swing velocity [left: (2.56±0.28) m/s vs (2.38±0.32) m/s vs (2.19±0.33) m/s vs (1.96±0.32) m/s, F=14.132, P<0.001; right: 2.46 (2.35, 2.62) m/s vs 2.35 (2.13, 2.62) m/s vs 2.22 (2.05, 2.36) m/s vs 2.03 (1.71, 2.13) m/s, H=25.771, P<0.001], along with a progressive shortening of bilateral step length [left: 1.19 (1.14, 1.27) m vs 1.15 (1.04, 1.22) m vs 1.05 (0.93, 1.18) m vs 0.95 (0.80, 1.06) m, H=32.613, P<0.001; right: 1.20 (1.14, 1.30) m vs 1.13 (1.03, 1.22) m vs 1.07 (0.90, 1.17) m vs 0.97 (0.80, 1.03) m, H=30.528, P<0.001]. Conversely, turning time progressively lengthened [1.20 (1.09, 1.49) s vs 1.21 (1.10, 1.46) s vs 1.30 (1.19, 1.51) s vs 1.98 (1.53, 2.12) s, H=23.195, P<0.001]. Logistic regression identified that the right stride length was a discriminative factor between HCs and PD-normal gait group ( OR=0.023, 95% CI 0-0.291, P=0.012). Conclusions:As gait dysfunction worsens, PD patients demonstrate gradual reductions in speed-related parameters and stride length, with increasing turn duration.Early PD patients with clinically normal gait may already exhibit subtle impairments. Right stride length may serve as a potential biomarker to distinguish PD patients from HCs.

Objective:To construct an ultrasound-responsive nano-oxygen carrier，and to enhance cell survival within myocardial patches and promote myocardial infarction（MI）repair.Methods:Ultrasound-responsive phase-change nanobubbles（ND）were first prepared and integrated into GelMA hydrogel to construct myocardial patches. Low-intensity pulsed ultrasound（LIPUS）irradiation was applied to explore whether the nanobubbles could optimize the hydrogel properties. Hemoglobin（Hb）was further encapsulated into the nanobubbles to construct an oxygen carrier（ND-Hb）. In vitro and in vivo experiments were conducted to evaluate whether the optimized myocardial patches could improve cell survival and facilitate MI repair. In vitro，cell-loaded patches were divided into 6 groups（control，ND，Hb，LIPUS，LIPUS+ND，and LIPUS+oxygen carrier groups）to assess the cell viability and protein expression. In vivo，an acute MI model was established in SD rats，which were randomly assigned to 4 groups（control，Hb，LIPUS+ND，and LIPUS+oxygen carrier groups）.Myocardial patches were implanted，and cardiac function（echocardiography），cell survival（BLI imaging），angiogenesis（CD31 and α-SMA immunofluorescence）and connexin protein expression（Cx43）were evaluated. Results:Following the incorporation of ND and LIPUS irradiation，scanning electron microscopy revealed numerous micropores（about 2 μm）within the hydrogel were observed by scanning electron microscopy. The nano-oxygen carrier was successfully constructed，with a particle size of（301.2 ± 92.4）nm，and released oxygen under LIPUS stimulation. In vitro，at days 3，7，and 14，the cell survival rates in the LIPUS+oxygen carrier group［（89.6 ± 2.1）%，（79.3 ± 1.8）%，（70.9 ± Conclusions:This study successfully employs LIPUS combined with ND-Hb to enhance hydrogel properties，facilitating nutrient exchange within myocardial patches. Additionally，ultrasound-mediated oxygen release improves seed cell survival and promotes myocardial infarction repair.

The prion-like propagation of α-synuclein (α-syn) is considered to be the key to the pathogenesis of synucleinopathies. A variety of α-syn detection methods have high sensitivity and specificity in the diagnosis of synucleinopathies. The detection of α-syn using skin samples is minimally invasive and less invasive, with high sensitivity and specificity, which has potential clinical application value in the diagnosis of synucleinopathies. In this paper, the latest development of α-syn detection in the diagnosis of synucleinopathies using skin samples is reviewed, emphasizing the clinical application of α-syn seeding activity in the early stage and differential diagnosis.

Objective: To evaluate the response of oral melphalan plus high-dose dexamethasone (MDex) for patients with primary light chain amyloidosis (pAL). Methods: Clinical data, hematological and organ responses, and survival of 76 patients with pAL who had received MDex from January 2009 to July 2017 were retrospectively analyzed. Results: Of 76 patients (47 males and 29 females with the median age of 56 [range, 20-74] years old), 19.70% patients were defined as Mayo 2004 stage 3, involvement of more than or two organs was presented in 65 (85.53%) patients. Among 60 response evaluable patients, overall hematological response was 48.33% with complete response of 20.00% and very good partial response of 20.00%, respectively. The median time to the hematological response was 5 (range, 1-15) months. 36.67% patients achieved organ response. After the median follow up of 23(range, 1-113) months for surviving patients, median progression-free survival (PFS) and overall survival (OS) were 34 and 43 months, respectively. In a three months landmark analysis, the median rates of PFS and OS were 46 and 65 months, respectively. The median OS rates of patients with Mayo 2004 stage 3 and non Mayo 2004 stage 3 were 5 and 65 months (P=0.001), respectively. Conclusions MDex was an effective treatment for patients with early stage pAL, but was not suitable for those with severe cardiac involvement.