BACKGROUND: Gait impairment is closely related to quality of life in patients with Parkinson's disease (PD). This study aimed to explore alterations in brain microstructure in PD patients and healthy controls (HCs) and to identify the correlation of gait impairment in the ON and OFF states of patients with PD, respectively. METHODS: We enrolled 24 PD patients and 29 HCs from the Movement Disorders Program at Beijing Friendship Hospital Capital Medical University between 2019 and 2020. We acquired magnetic resonance imaging (MRI) scans and processed the diffusion kurtosis imaging (DKI) images. Preprocessing of diffusion-weighted data was performed with Mrtrix3 software, using a directional distribution function to track participants' main white matter fiber bundles. Demographic and clinical characteristics were recorded. Quantitative gait and clinical scales were used to assess the status of medication ON and OFF in PD patients. RESULTS: The axial kurtosis (AK), mean kurtosis (MK), and radial kurtosis (RK) of five specific white matter fiber tracts, the bilateral corticospinal tract, left superior longitudinal fasciculus, left anterior thalamic radiation, forceps minor, and forceps major were significantly higher in PD patients compared to HCs. Additionally, the MK values were negatively correlated with Timed Up and Go Test (TUG) scores in both the ON and OFF in PD patients. Within the PD group, higher AK, MK, and RK values, whether the patients were ON or OFF, were associated with better gait performance (i.e., higher velocity and stride length). CONCLUSIONS PD exhibits characteristic regional patterns of white matter microstructural degradation. Correlations between objective gait parameters and DKI values suggest that dopamine-responsive gait function depends on preserved white matter microstructure. DKI-based Tract-Based Spatial Statistics (TBSS) analysis may serve as a tool for evaluating PD-related motor impairments (e.g., gait impairment) and could yield potential neuroimaging biomarkers.
Humans ; Parkinson Disease/diagnostic imaging* ; White Matter/physiopathology* ; Male ; Female ; Middle Aged ; Aged ; Gait/physiology* ; Diffusion Magnetic Resonance Imaging/methods* ; Diffusion Tensor Imaging/methods*

Objective:To develop a deep learning-based system for real-time recognition and classification of portal hypertensive gastropathy (PHG) and evaluate its ability to assist junior endoscopists.Methods:A total of 2 848 gastroscopy images from 832 patients with liver cirrhosis were selected from Digestive Endoscopy Center databases of Renmin Hospital of Wuhan University, Wuhan Hospital of Traditional Chinese and Western Medicine, and the Second Hospital of Jingzhou from January 2015 to October 2023. This system referred to 3 endoscopic features of Baveno Ⅱ scoring system. Three models were developed respectively for gastric antral vascular ectasia (GAVE), mosaic-like pattern (MLP), and red marks (RM). The specific classification references were as follows: (1) GAVE model: 0 no, 1 yes; (2) MLP model: 0 no, 1 mild, 2 severe; (3) RM model: 0 no, 1 isolated, 2 fused. The classification results for endoscopic characteristics of PHG of 3 endoscopy experts were taken as the gold standard. The yolov8-m model was used for training. The training dataset, validation dataset, and test dataset were allocated at a ratio of 8∶1∶1. The test dataset was used to evaluate the performance of models and their auxiliary effects on endoscopists. The accuracy, recall, precision, specificity and Kappa coefficient were calculated. Results:The accuracy, recall, specificity of GAVE model were 96.0% (48/50), 87.5% (7/8) and 97.6% (41/42). There was no significant difference between its accuracy and the gold standard ( χ2=316.226, P=1.000). The precision of GAVE1 and GAVE0 were 87.5% (7/8) and 97.6% (41/42) respectively. The accuracy of MLP model was 84.1% (132/157), and there was no significant difference compared with the gold standard ( χ2=3.286, P=0.193). The precision and recall of MLP2 were 88.2% (15/17) and 75.0% (15/20). The precision and recall of MLP1 were 77.9% (60/77) and 88.2% (60/68). The precision and recall of MLP0 were 90.5% (57/63) and 82.6% (57/69). The accuracy of RM model was 87.9% (123/140), and there was no significant difference compared with the gold standard ( χ2=2.891, P=0.409). The precision and recall of RM2 were 94.7% (18/19) and 78.3% (18/23). The precision and recall of RM1 were 72.2% (26/36) and 81.3% (26/32). The precision and recall of RM0 were 92.9% (79/85) and 92.9% (79/85). The mean accuracy of the three junior endoscopists, with and without the assistance of the GAVE model, MLP model, and RM model, respectively increased from 95.3% to 99.3%, from 83.9% to 91.9%, and from 81.9% to 83.1%. The overall consistency analysis of the 3 junior endoscopists with the gold standard indicated that the consistency of the GAVE model before and after assistance was extremely strong (both an overall Kappa of 1.000); the consistency before assistance of the MLP model was moderate (with an overall Kappa of 0.601), which increased to extremely strong after assistance (with an overall Kappa of 0.964); and the consistency of the RM model before and after assistance was also relatively strong (with an overall Kappa of 0.792 before and 0.798 after). Conclusion:The deep learning system accurately identifies and classifies PHG features and significantly enhances diagnostic performance of junior endoscopists.

Objective:To investigate the possible effects of Tim-3/Galectin-9 signaling pathway and MDSC on acute graft-ver-sus-host disease(aGVHD)development in patients after Haplo-HDPSCT.Methods:A total of 42 patients underwent Haplo-HDPSCT and 20 healthy controls were enrolled in this study.Peripheral blood specimens were collected from all study subjects,the number of Tim-3+CD8+T,Granzyme B+CD8+T and MDSC were detected by FCM,and level of Galectin-9 was detected by ELISA.Apoptosis of CD8+T cells from peripheral blood of aGVHD patients were detected by FCM.Results:According to the Seattle International Diagnostic Criteria,there were 16 patients occurred aGVHD after transplantation,while 26 patients did not.①The number of Tim-3+CD8+T and Granzyme B+CD8+T cells in aGVHD patients were significantly higher than patients without aGVHD and healthy controls,while MDSC and Galectin-9 in aGVHD patients were lower than patients without aGVHD and healthy controls(P<0.05);②There were statistically significant differences in the number of Tim-3+CD8+T and Granzyme B+CD8+T cells and level of Galectin-9 between patients with mild(grade Ⅰ～Ⅱ)and severe(grade Ⅲ～Ⅳ)aGVHD groups(P<0.05),while there was no statistically significant difference in the number of MDSC(P=0.689);③Spearman analysis showed that level of Galectin-9 was positively correlated with the number of MDSC in patients without aGVHD(r=0.684,P<0.05);④Isolating CD8+T cells from peripheral blood of aGVHD patients,and found that addition of Galectin-9 increased rate of CD8+T cells apoptosis.Conclusion:Galectin-9 inhibits immune response of CD8+T cells through the Tim-3/Galectin-9 signaling pathway after Haplo-HDPSCT,and this can avoid or slow down the incidence of aGVHD;Galectin-9 is positively correlated with the number of MDSC,it may be associated with the occurrence of aGVHD.

Objective:To investigate the possible effects of Tim-3/Galectin-9 signaling pathway and MDSC on acute graft-ver-sus-host disease(aGVHD)development in patients after Haplo-HDPSCT.Methods:A total of 42 patients underwent Haplo-HDPSCT and 20 healthy controls were enrolled in this study.Peripheral blood specimens were collected from all study subjects,the number of Tim-3+CD8+T,Granzyme B+CD8+T and MDSC were detected by FCM,and level of Galectin-9 was detected by ELISA.Apoptosis of CD8+T cells from peripheral blood of aGVHD patients were detected by FCM.Results:According to the Seattle International Diagnostic Criteria,there were 16 patients occurred aGVHD after transplantation,while 26 patients did not.①The number of Tim-3+CD8+T and Granzyme B+CD8+T cells in aGVHD patients were significantly higher than patients without aGVHD and healthy controls,while MDSC and Galectin-9 in aGVHD patients were lower than patients without aGVHD and healthy controls(P<0.05);②There were statistically significant differences in the number of Tim-3+CD8+T and Granzyme B+CD8+T cells and level of Galectin-9 between patients with mild(grade Ⅰ～Ⅱ)and severe(grade Ⅲ～Ⅳ)aGVHD groups(P<0.05),while there was no statistically significant difference in the number of MDSC(P=0.689);③Spearman analysis showed that level of Galectin-9 was positively correlated with the number of MDSC in patients without aGVHD(r=0.684,P<0.05);④Isolating CD8+T cells from peripheral blood of aGVHD patients,and found that addition of Galectin-9 increased rate of CD8+T cells apoptosis.Conclusion:Galectin-9 inhibits immune response of CD8+T cells through the Tim-3/Galectin-9 signaling pathway after Haplo-HDPSCT,and this can avoid or slow down the incidence of aGVHD;Galectin-9 is positively correlated with the number of MDSC,it may be associated with the occurrence of aGVHD.

Objective:To develop a deep learning-based system for real-time recognition and classification of portal hypertensive gastropathy (PHG) and evaluate its ability to assist junior endoscopists.Methods:A total of 2 848 gastroscopy images from 832 patients with liver cirrhosis were selected from Digestive Endoscopy Center databases of Renmin Hospital of Wuhan University, Wuhan Hospital of Traditional Chinese and Western Medicine, and the Second Hospital of Jingzhou from January 2015 to October 2023. This system referred to 3 endoscopic features of Baveno Ⅱ scoring system. Three models were developed respectively for gastric antral vascular ectasia (GAVE), mosaic-like pattern (MLP), and red marks (RM). The specific classification references were as follows: (1) GAVE model: 0 no, 1 yes; (2) MLP model: 0 no, 1 mild, 2 severe; (3) RM model: 0 no, 1 isolated, 2 fused. The classification results for endoscopic characteristics of PHG of 3 endoscopy experts were taken as the gold standard. The yolov8-m model was used for training. The training dataset, validation dataset, and test dataset were allocated at a ratio of 8∶1∶1. The test dataset was used to evaluate the performance of models and their auxiliary effects on endoscopists. The accuracy, recall, precision, specificity and Kappa coefficient were calculated. Results:The accuracy, recall, specificity of GAVE model were 96.0% (48/50), 87.5% (7/8) and 97.6% (41/42). There was no significant difference between its accuracy and the gold standard ( χ2=316.226, P=1.000). The precision of GAVE1 and GAVE0 were 87.5% (7/8) and 97.6% (41/42) respectively. The accuracy of MLP model was 84.1% (132/157), and there was no significant difference compared with the gold standard ( χ2=3.286, P=0.193). The precision and recall of MLP2 were 88.2% (15/17) and 75.0% (15/20). The precision and recall of MLP1 were 77.9% (60/77) and 88.2% (60/68). The precision and recall of MLP0 were 90.5% (57/63) and 82.6% (57/69). The accuracy of RM model was 87.9% (123/140), and there was no significant difference compared with the gold standard ( χ2=2.891, P=0.409). The precision and recall of RM2 were 94.7% (18/19) and 78.3% (18/23). The precision and recall of RM1 were 72.2% (26/36) and 81.3% (26/32). The precision and recall of RM0 were 92.9% (79/85) and 92.9% (79/85). The mean accuracy of the three junior endoscopists, with and without the assistance of the GAVE model, MLP model, and RM model, respectively increased from 95.3% to 99.3%, from 83.9% to 91.9%, and from 81.9% to 83.1%. The overall consistency analysis of the 3 junior endoscopists with the gold standard indicated that the consistency of the GAVE model before and after assistance was extremely strong (both an overall Kappa of 1.000); the consistency before assistance of the MLP model was moderate (with an overall Kappa of 0.601), which increased to extremely strong after assistance (with an overall Kappa of 0.964); and the consistency of the RM model before and after assistance was also relatively strong (with an overall Kappa of 0.792 before and 0.798 after). Conclusion:The deep learning system accurately identifies and classifies PHG features and significantly enhances diagnostic performance of junior endoscopists.

Objective To explore the risk factors for myocardial injury in esophagogastric variceal bleeding(EGVB)patients with liver cirrhosis during hospitalization.Methods A case-control trial was conducted on 235 EGVB patients admitted to our hospital between May 2021 and July 2022.Their basic information,laboratory results and relevant data during hospitalization were collected.According to their myocardial enzyme profiles during hospitalization,they were divided into myocardial injury group(n=46)and non-myocardial injury group(n=189).Univariate regression analysis and clinical correlation analysis were used to preliminarily screen the risk factors for myocardial injury secondary to EGVB caused by liver cirrhosis.Then,multivariate logistic regression analysis was used to further screen the risk factors.A nomogram was constructed based on the selected risk factors and the occurrence of myocardial injury.Receiver operating characteristic(ROC)curve was plotted to analyze the independent predictive value of these factors alone or combined together.Calibration curve analysis and internal verification were utilized to evaluate the predictive performance of the nomogram model.Subgroup verification was performed in the myocardial infarction group.Results Univariate analysis revealed that statistical differences were observed in age,sex,hypertension,renal disease,underlying diseases,vomiting,leukocytosis,increased alanine aminotransferase(ALT)or aspartate aminotransferase(AST),albumin,red blood cell hematocrit(HCT),international normalized ratio(INR),endoscopy within 6 h after admission,and Child-Pugh(CP)class between the myocardial injury group and the non-myocardial injury group(P＜0.01).Multivariate logistic regression analysis showed that age(P=0.014,OR=1.153,95％CI:1.030～1.291),underlying diseases(P=0.005,OR=1.122,95％CI:1.032～2.437),and albumin(P=0.012,OR=0.449,95％CI:0.241～0.837)were independent risk factors for inhospital myocardial injury in EGVB patients with liver cirrhosis.The AUC value of the above indicators combined together for predicting myocardial injury was 0.902.Hosmer-Lemeshow test and calibration curve analysis indicated that the nomogram had good prediction consistency(Chi-square=12.88,P=0.615).Internal verification correctly distinguished 86.4％of verification objects.Subgroup analysis of myocardial injury patients showed that albumin was also an independent risk factor for in-hospital myocardial injury in this population(AUC=0.80).Conclusion Age,underlying diseases,and albumin level are independent risk factors for in-hospital myocardial injury in EGVB patients with liver cirrhosis.Albumin level can be used as an independent risk factor for predicting myocardial infarction.Combination of the above 3 indicators has a high diagnostic value in early identification and prevention of myocardial injury in this patient population.

Type-3 innate lymphoid cell(ILC3)differentiate into lymphocyte progenitor cells and widely distributed in body,serving as a bridge between innate immunity and adaptive immunity.Previous studies believed that ILC3 was mainly involved in intesti-nal immune regulation,however,the latest studies have shown that,in addition to its role in intestinal diseases,ILC3 can also partici-pate in occurrence and development of a variety of chronic inflammatory diseases.This article reviews role of ILC3 in chronic inflamma-tory diseases.

Migraine with brainstem aura is one of the subtype of migraine with aura, with varied etiology and complex mechanism. Migraine with brainstem aura and transient loss of consciousness (TLOC) often occur together clinically, seriously affect the social life of the patients. At present, relation between migraine with brainstem aura and TLOC has not been elucidated, and clinical manifestations between TLOC and syncope is similar and easily confused by physicians. In order to deeply explore the complex relations between migraine with brainstem aura and TLOC, this article summarizes the clinical association, pathogenesis and differential diagnosis of migraine with brainstem aura associated with TLOC, so as to further optimize the clinical diagnosis strategies and provide new ideas for exploring comprehensive treatment measures for migraine with brainstem aura associated with TLOC.

Objective:To compare the feasibility and efficacy of translocator protein (TSPO) molecular probes N, N-diethyl-2-(2-(4- 18F-fluorophenyl)-5, 7-dimethylpyrazolo[1, 5-a]pyrimidin-3-yl)acetamide ( 18F-FDPA) and 18F-(R)-( N-sec-butyl)-3-fluoromethyl- N-methyl-4-phenylquinoline-2-carboxamide (LW223) for the detection of abdominal vulnerable atherosclerotic plaques (VAP) in rabbit models. Methods:Nine healthy New Zealand white rabbits were divided into group A (control group, n=3), group B (VAP group, n=3) and group C (VAP treatment group, n=3) using completely randomized design. Animals were injected with 18F-FDPA and 18F-LW223 at the end of 12, 16 and 24 weeks. PET/CT and CT angiography (CTA) was performed 40-50 min post injection. All rabbits were sacrificed at the end of 24 weeks after imaging studies. All abdominal aortas were collected for pathological and immunofluorescence examination. Repeated measures analysis of variance (Bonferroni test) and paired t-test were used to analyze the data. Results:Target-to-background ratio (TBR; abdominal aortic lesion/left ventricular blood pool) values of 18F-FDPA in 3 groups at the end of 12, 16 and 24 weeks were significantly different ( F values: 68.09-144.88, all P<0.001). At the end of 12 weeks, there was no increased uptake of 18F-FDPA in the abdominal aorta region in 3 groups. The local 18F-FDPA uptake of the abdominal aorta in group B was significantly higher than the uptake in group C and that in group A at the end of 16 and 24 weeks( P<0.05 or P<0.001), and there were significant differences between group C and group A, with higher uptake in group C (both P<0.01). In 3 groups, there was no significant 18F-LW223 uptake in the abdominal aorta region at 3 time points of PET/CTA imaging. At the end of 12, 16 and 24 weeks, TBR values of 18F-FDPA and 18F-LW223 in 3 groups exhibited statistical differences ( t values: 2.88-36.79, all P<0.05). HE, immunofluorescent CD68 and TSPO staining showed more macrophage infiltration in group B than group C. Conclusion:18F-FDPA can be used to detect VAP in rabbits′ abdominal arteries at early time compared to 18F-LW223, and to evaluate the changes in the stability of vulnerable plaque after lipid-lowering drug intervention.

Objective:To establish the normal reference value of left ventricular function parameters by cadmium-zinc-tellurium (CZT) SPECT stress gated myocardial perfusion imaging (G-MPI) in low-likelihood of stable coronary artery disease (SCAD).Methods:From March 2022 to August 2022, 348 consecutive SCAD patients (146 males, 202 females, age (58±10) years) who underwent exercise or pharmacological stress G-MPI (CZT SPECT) in Beijing Anzhen Hospital, Capital Medical University were retrospectively recruited. Left ventricular end-diastolic volume (EDV), end-systolic volume (ESV), and left ventricular ejection fraction (LVEF) were acquired using quantitative gated SPECT (QGS) analysis. EDV and ESV were corrected by body surface area (BSA) to obtain EDV index (EDVI) and ESV index (ESVI), respectively. Independent-sample t test, one-way analysis of variance and Mann-Whitney U test were used for data analysis. The influences of EDV, ESV, EDVI, ESVI and LVEF were analyzed by multiple regressions for linear models. Results:There were 314 patients with low-likelihood of SCAD (128 males, 186 females, age (58±10) years) and 34 normal controls (18 males, 16 females, age (55±10) years). There were no significant differences of basic clinical characteristics and left ventricular function parameters in different genders between 2 groups ( z values: from -1.74 to -0.02, t values: from -1.16 to 1.17, all P>0.05). Using the 95% CI as the cut-off value for left ventricular function parameters in patients with a low-likelihood of SCAD, the upper limits of EDV, ESV, EDVI and ESVI in females and males were 84 and 111 ml, 30 and 44 ml, 47 and 54 ml/m 2, 17 and 21 ml/m 2, respectively, and the lower limit of LVEF in females and males were 58% and 55%, respectively. In the low-likelihood of SCAD group, the EDV ((58±13) vs (77±17) ml) and ESV ((16±7) vs (26±9) ml) of females were smaller than those of males ( t values: 10.65, 10.35, both P<0.001), while LVEF of females was higher than that of males ((72±7)% vs (67±6)%; t=-6.23, P<0.001). However, there were no significant differences in left ventricular function parameters among different age groups with the same gender ( F values: 0.12-2.19, all P>0.05). Based on multiple regression for linear models, the primary predictors of EDV, ESV and LVEF were gender and weight ( β values: from -0.380 to 0.358, all P<0.05). Conclusions:Normal reference values of left ventricular function parameters are established by CZT SPECT stress G-MPI in low-likelihood of SCAD patients. Left ventricular EDV and ESV of females are smaller than those of males, while LVEF of females is higher than that of males. The influence of gender on left ventricular function parameters should be considered in clinical practice.