Objective: To investigate the expression of activator of basal transcription 1 (ABT1) protein in gastric cancer tissue and its relationships with the clinical parameters and prognosis of gastric cancer patients, and to clarify the role of ABT1 in the occurrence and development of gastric cancer. Methods: A total of 100 cases of cancer tissue of the gastric cancer patients and 80 pairs of adjacent tissue were selected. The expressions of ABT1 in cancer tissue and adjacent tissue were detected by immunohistochemistry and the proportion of stained cells and the degree of staining in the immunohistochemistry results were analyzed using semi-quantitative analysis. The relationships between the semi-quantitative analysis results and the clinical parameters of gastric cancer patients were statistically analyzed. Kaplan-Meier method was used to analyze the correlation between the ABT1 protein expression level and the survival of gastric cancer patients. Results: ABTl-positive staining was observed in the nucleus and cytoplasm of gastric cancer tissue and adjacent gastric tissue. The expression level of ABT1 in gastric cancer tissue was lower than that in adjacent tissue (P= 0.021). The ABT1 protein expression level in gastric cancer tissue was significantly negatively correlated with the pathological grade (r=-0.224, P = 0. 026). The Kaplan-Meier analysis results of the survival curve showed that the high expression of ABT1 was associated with good prognosis in the gastric cancer patients (HR=1. 483, P<.0. 01). The survival rate of gastric cancer patients with high ABT1 expression was significantly higher than that of the patients with low ABT1 expression (HR = 2.411, P=0. 0272). Conclusion: The expression of ABT1 in gastric cancer tissue is lower, indicating that ABT1 can be used one of the markers of good prognosis of gastric cancer.

Objective:To investigate the expression of activator of basal transcription 1 (ABT1) protein in gastric cancer tissue and its relationships with the clinical parameters and prognosis of gastric cancer patients, and to clarify the role of ABT1in the occurrence and development of gastric cancer.Methods:A total of 100cases of cancer tissue of the gastric cancer patients and 80pairs of adjacent tissue were selected.The expressions of ABT1in cancer tissue and adjacent tissue were detected by immunohistochemistry and the proportion of stained cells and the degree of staining in the immunohistochemistry results were analyzed using semi-quantitative analysis.The relationships between the semi-quantitative analysis results and the clinical parameters of gastric cancer patients were statistically analyzed.Kaplan-Meier method was used to analyze the correlation between the ABT1 protein expression level and the survival of gastric cancer patients.Results:ABT1-positive staining was observed in the nucleus and cytoplasm of gastric cancer tissue and adjacent gastric tissue.The expression level of ABT1in gastric cancer tissue was lower than that in adjacent tissue (P=0.021) .The ABT1protein expression level in gastric cancer tissue was significantly negatively correlated with the pathological grade (r=-0.224, P=0.026) .The Kaplan-Meier analysis results of the survival curve showed that the high expression of ABT1was associated with good prognosis in the gastric cancer patients (HR=1.483, P＜0.01) .The survival rate of gastric cancer patients with high ABT1expression was significantly higher than that of the patients with low ABT1expression (HR=2.411, P=0.0272) .Conclusion:The expression of ABT1in gastric cancer tissue is lower, indicating that ABT1can be used one of the markers of good prognosis of gastric cancer.

Objective:To investigate the value of brain functional connectivity density (FCD) derived from resting-state functional magnetic resonance imaging (rs-fMRI) in differentially diagnosing 2 subtypes of Parkinson's disease (PD): tremor dominant (TD) and non-tremor dominant (nTD), as well as its correlation with clinical symptom scores.Methods:A retrospective analysis was performed; 45 PD patients (25 with TD and 20 with nTD), admitted to Department of Neurology, Drum Tower Hospital Affiliated to Medical School of Nanjing University were chosen; and 24 middle-aged and elderly volunteers matched in age, gender and years of education at the same time were chosen as normal controls (NCs). The rs-fMRI data were collected and FCD map of the whole brain was computed. The FCD differences in whole brain and brain regions enjoying different FCD were compared among the 3 groups. ROC curve was used to analyze the differential diagnostic efficacy of FCD in brain regions enjoying different FCD in TD and nTD. Correlations of FCD in brain regions enjoying different FCD with disease course, Hoehn-Yahr (H-Y) grading, unified Parkinson's disease rating scale (UPDRS) III scores, tremor scores and non-tremor scores were analyzed by Pearson or Spearman correlation analyses.Results:Brain regions enjoying different FCD among the TD, nTD, and NC groups were the right lingual gyrus, right orbital medial frontal gyrus, right insula, left superior temporal gyrus, left insula, right anterior central gyrus, left posterior central gyrus, right medial and paracingulate gyrus, and left angular gyrus. FCD in the right orbital medial frontal gyrus and left angular gyrus of TD group was significantly higher than that in the nTD group ( P<0.05); while FCD in the right insula, right anterior central gyrus, left posterior central gyrus and right medial and paracingulate gyrus of TD group was significantly lower than that in the nTD group ( P<0.05). Area under the curve of combined application of FCD in brain regions enjoying different FCD in differentially diagnosing TD and nTD was 0.842, with sensitivity and specificity of 80.0%. FCD in the left superior temporal gyrus and left posterior central gyrus was positively correlated with H-Y grading ( P<0.05), while FCD in the left angular gyrus was negatively correlated with H-Y grading ( P<0.05). FCD in the left superior temporal gyrus was positively correlated with UPDRS III scores ( P<0.05). FCD in the right lingual gyrus, right insula, left insula, right anterior central gyrus, left posterior central gyrus, right medial and paracingulate gyrus was negatively correlated with tremor scores ( P<0.05). FCD in the left superior temporal gyrus, right medial and paracingulate gyrus was positively correlated with non-tremor scores ( P<0.05), whereas that in the left angular gyrus was negatively correlated with non-tremor scores ( P<0.05). Conclusion:Abnormalities in FCD exist in certain brain regions of PD patients, with disparities between TD and nTD. Combined application of FCD in brain regions enjoying different FCD can effectively differentiate TD and nTD, and this FCD is also partially correlated with the symptom scores of PD patients.

Objective:To investigate the application value of magnetic resonance (MR) diffusion tensor imaging (DTI) automatic fiber quantification (AFQ) in the diagnosis and prediction of Alzheimer's disease (AD).Methods:Clinical and MR data of 21 patients with AD (AD group) and 33 normal controls (NC group) were collected.AFQ software was used to analyze DTI data, track 20 white matter fiber bundles in the brain, and compare the differences of fractional anisotropy (FA) and mean diffusivity (MD) value of each bundle between groups.Each fiber bundle was divided into 100 equal parts along the direction of travel, and the FA or MD value of each part was taken as a characteristic.Screening the characteristics with statistic differences between groups for classification of AD and NC by support vector machine (SVM) with leave one method for cross validation.Classification effectiveness was evaluated using the receiver operating characteristic (ROC) curve.Results:Eleven (left/right anterior thalamic radiation (ATR), left/right corticospinal tract (CST), genu of corpus callosum (CC Genu), right inferior longitudinal fasciculus (ILF), right superior longitudinal fasciculus (SLF), left/right uncinated fasciculus (UF), and left/right arcuate fasciculus (AF)) of the 20 fiber bundles were successfully tracked in all subjects.Compared with NC group, the FA values of 2 fiber bundles (left/right UF) in AD group were significantly decreased( t=-2.532, -2.391, both P<0.05), and the MD values of 7 fiber bundles (left ATR, left/right CST, right ILF, left/right UF, and left AF) were significantly increased ( t=2.569, 2.411, 2.108, 2.357, 3.773, 3.796, 3.492, all P<0.05). Among the 2 200 characteristics of 11 fiber bundles, 412 classification characteristics with inter-group differences were selected.Among which, 78 FA characteristics were distributed in 7 fiber bundles (left ATR, left/right CST, CC Genu, right ILF, left/right UF), and 334 MD characteristics were distributed in 9 fiber tracts (left/right ATR, left/right CST, CC Genu, right ILF, left/right UF, and left AF). The accuracy of SVM classification was 85.19%, sensitivity was 80.95%, specificity was 87.88%, and area under ROC curve was 0.894 7. Conclusion:AFQ analysis based on DTI has a high application value in the diagnosis and prediction of AD.

Objective:To explore the alterations in functional connectivity density (FCD) resulted from mild cognitive impairment (MCI) and their correlations with cognitive scores in various cognitive domains in patients with Parkinson's disease (PD).Methods:Forty-three PD patients admitted to Department of Neurology, Sixth Affiliated Hospital of Nantong University from January 2022 to April 2024 were selected and divided into PD-MCI group (MoCA scores<26) and PD with normal cognition (PD-NC) group (MoCA scores≥26) according to Montreal Cognitive Assessment (MoCA). Another 23 middle-aged and elderly healthy volunteers (HC group) matched with PD patients in age, gender and education level were recruited at the same period. Resting-state functional MRI (rs-fMRI) data were collected and whole brain FCD was calculated. Differences of clinical data, whole brain FCD, and FCD in brain regions with significantly different FCD among the 3 groups were compared. Efficiency of FCD in brain regions with significantly different FCD between PD-MCI group and PD-NC group in differentially diagnosing PD-MCI and PD-NC was analyzed by receiver operating characteristic (ROC) curve. Pearson correlation was used to the analyze the correlations of FCD in brain regions with significantly different FCD with MoCA score and cognitive scores in various cognitive domains.Results:Among the 43 patients, 23 were into the PD-MCI group and 20 into the PD-NC group. PD-MCI group had significantly lower scores in the visuospatial and executive function, abstraction, and delayed memory cognitive domains than PD-NC group ( P<0.05). Brain regions with significantly different FCD among the 3 groups were the right parahippocampal gyrus, left gyrus rectus, right rolandic operculum, left middle occipital gyrus, right precentral gyrus, left middle frontal gyrus, and left medial superior frontal gyrus. Compared with the HC group, the PD-MCI group and PD-NC group had significantly increased FCD at the right parahippocampal gyrus, left gyrus rectus and right rolandic operculum, statistically decreased FCD at the right precentral gyrus, left middle frontal gyrus, and left medial superior frontal gyrus ( P<0.05). Compared with the HC group, the PD-MCI group had significantly increased FCD at the left middle occipital gyrus ( P<0.05). Compared with the PD-NC group, the PD-MCI group had significantly decreased FCD at the right parahippocampal gyrus, and statistically increased FCD at the left middle occipital gyrus and left middle frontal gyrus ( P<0.05). Area under ROC curve (AUC) of FCD in brain regions with significantly different FCD in discriminating PD-MCI and PD-NC was 0.878, with sensitivity of 90.0% and specificity of 91.3%. FCD at right parahippocampal gyrus, left middle occipital gyrus and left middle frontal gyrus was negatively correlated with MoCA score ( P<0.05); FCD at right parahippocampal gyrus was positively correlated with cognitive scores in the visuospatial and executive function, and delayed memory domains ( P<0.05); FCD at left middle occipital gyrus was negatively correlated with cognitive scores in the executive function and visual-spatial skills, and abstraction domains ( P<0.05); FCD at the left medial frontal gyrus was negatively correlated with cognitive scores in the visuospatial and executive function, abstraction and delayed memory domains ( P<0.05). Conclusions:Abnormal FCD can be noted in some brain regions of PD patients, enjoying differences between PD-MCI patients and PD-NC patients. Combined FCD in brain regions with significantly different FCD has high value in differentially diagnosing PD-MCI and PD-NC, and FCD in brain regions with significantly different FCD is correlated with cognitive function changes in PD patients.