Misdiagnosis of intrapancreatic accessory spleen： A report of two cases / 临床肝胆病杂志

Accessory spleen refers to the spleen tissue that exists outside of the normal spleen， with a similar structure to the main spleen and certain functions. Intrapancreatic accessory spleen （IPAS） completely enveloped by the pancreas has an incidence rate of only 2%， and it is easily misdiagnosed in clinical practice due to its atypical clinical symptoms and similar radiological features to pancreatic neuroendocrine tumor， pancreatic solid pseudopapillary tumor， and other pancreatic space-occupying lesions. This article reports the clinical data of two patients with IPAS who were misdiagnosed as pancreatic neuroendocrine tumor and pancreatic solid pseudopapillary tumor， respectively， analyzes the reasons for misdiagnosis， and summarizes the experience in diagnosis and treatment， in order to improve the ability for the differential diagnosis of IPAS in clinical practice.

Differences in dynamic functional connectivity density in individuals with light and heavy smoking addiction: a study based on functional MR / 中华放射学杂志

Objective:To investigate the changes in dynamic functional connectivity density (dFCD) and its relationship with Fagerstr?m test for nicotine dependence (FTND) scores in individuals with smoking addiction based on functional MR.Methods:The clinical and imaging data of 176 volunteers recruited through wechat and other online platforms from September 2019 to December 2020 in the First Affiliated Hospital of Zhengzhou University were retrospectively analyzed. The 176 volunteers were male, aged 20 to 55 years old, and were divided into light smoking addiction group (59 cases), heavy smoking addiction group (61 cases) and control group (56 cases). All subjects underwent resting state functional MR scanning and dFCD was calculated. The dFCD values of three groups were analyzed by ANOVA analysis (GRF corrected, voxel level P<0.005, cluster level P<0.01). Bonferroni correction was used for pairwise comparison. Pearson partial correlation analysis was used to analyze the correlation between dFCD values of brain regions with statistically significant differences and FTND scores. Results:Differences in dFCD among light smoking addiction group, heavy smoking addiction group and control group were mainly distributed in the right orbitofrontal cortex, left caudate nucleus, right putamen, bilateral calcarine sulcus cortex, right cuneus, left parahippocampal gyrus, left precuneus, left middle temporal gyrus and bilateral thalamus (GRF corrected, voxel level P<0.005, cluster level P<0.01). Compared with the control group, both the light and heavy smoking addiction groups showed decreased dFCD in the bilateral calcarine sulcus cortex, right cuneus and left precuneus, as well as increased dFCD in the right orbitofrontal cortex, right putamen, left caudate nucleus and left thalamus (Bonferroni corrected, P<0.05). Compared with the control group, the heavy smoking addiction group showed increased dFCD in the right thalamus, and the light smoking addiction group showed decreased dFCD in the left middle temporal gyrus (Bonferroni corrected, P<0.001). Compared with the light smoking addiction group, the heavy smoking addiction group showed increased dFCD in the left middle temporal gyrus and right thalamus, and decreased dFCD in the left parahippocampal gyrus (Bonferroni corrected, P<0.05). The mean value of dFCD in the right thalamus was positively correlated with FTND scores in smoking addiction patients ( r=0.227, P=0.014), and the mean value of dFCD in the right thalamus of the heavy smoking addiction subgroup was positively correlated with FTND scores ( r=0.323, P=0.013). There was no correlation between FTND scores and dFCD in the right thalamus of the light smoking addiction group ( P>0.05). Conclusion:There are changes of neural activity in brain regions related to smoking behaviors among people with different severity of smoking addiction, and smoking behaviors of people with heavy smoking addiction tend to be habitual compared with those with light smoking addiction.

Resting-state functional connectivity alterations of ventral tegmental area in adult male smokers: a functional magnetic resonance imaging study / 中华行为医学与脑科学杂志

Objective:To investigate the alterations of resting-state functional connectivity (RSFC) in ventral tegmental area (VTA) and substantia nigra (SN) among male smokers, and its correlation with clinical characteristics of smoking.Methods:The resting-state functional magnetic resonance data of 131 subjects recruited from January 2014 to December 2018 were analyzed retrospectively, including 76 smokers (smoking group) and 55 non-smokers (control group). VTA/SN was selected as regions of interest (ROI), and then calculated RSFC between VTA/SN and the whole brain.Based on SPM12 software, independent sample t-test was conducted to compare the differences in RSFC between smoking group and control group.Based on SPSS 22.0 software, Pearson correlation analysis was used to investigate the relationships between the RSFC of brain regions with significant differences and Fagerstr?m test for nicotine dependence (FTND) score, pack-year of smokers. Results:Compared with control group, the results showed decreased RSFC between VTA and the brain regions related default mode network (DMN)(including posterior cingulate cortex, right anterior cuneiform lobe, bilateral superior temporal gyrus, right middle temporal gyrus and right inferior parietal lobule), and regions of limbic system(including right marginal lobe and right angular gyrus), right calcarine (MNI: x, y, z=24, -55, -14) and left insula(MNI: x, y, z=-35, -11, 9) in smoking group(GRF corrected, voxel level P<0.005, cluster level P<0.05). Taking SN as the seed, there was no significant difference between smoking group and control group ( P>0.05). RSFC of VTA-left superior temporal gyrus was positively correlated with pack-year( r=0.243, P=0.034) and FTND ( r=0.282, P=0.014). VTA-left insula RSFC was positively correlated with FTND ( r=0.316, P=0.006). Conclusion:The RSFC in the mesolimbic system and the VTA-DMN circuit exist abnormal changes in smokers.To some extent, it may explain the reward deficits and dysfunction of emotion regulation in smokers, which may provide clues for further understanding the mechanism of tobacco addiction.

Inhibitory effects of ursolic acid on IL-6-mediated invasion and migration of breast cancer cells / 中国药房

OBJECTIVE To investigate the inhibitory effects of ursolic acid on interleukin-6 （IL-6）-mediated invasion and migration of breast cancer MDA-MB-231 cells （hereinafter referred to as “231 cells”）. METHODS The effects of 20， 40， 80， 160 and 320 µmol/L ursolic acid on the proliferation rate of 231 cells were measured by CCK-8 method. The breast cancer 231 cells were divided into control group， model group and administration group. The migration and invasion abilities of cells were detected by scratch assay and Transwell assay. Real-time quantitative polymerase chain reaction （q-PCR） assay and Western blot assay were used to detect the mRNA and protein expressions of epithelial-mesenchymal transition-related makers such as E cadherin （E-cad）， matrix metalloprotein 2 （MMP2）， MMP9， vimentin （Vim）， CD44 molecule （CD44） and aldehyde dehydrogenase 1 family member A1 （ALDH1A1）. The phosphorylation levels of JAK2 and STAT3 in the Janus kinase 2/signal transducer and activator of transcription 3 （JAK2/STAT3） signaling pathway （in terms of p-JAK2/JAK2 ratio and p-STAT3/STAT3 ratio） were detected by Western blot assay. RESULTS A low concentration of ursolic acid of 20 µmol/L （no significant inhibitory effect on cell proliferation ability） was selected as the subsequent administration concentration. Compared with the control group， the migration and invasion abilities of cells in the model group were significantly enhanced （P＜0.05）； compared with the model group， the migration and invasion abilities of cells in the administered group were significantly reduced （P＜0.05）. Compared with the control group， the relative mRNA and protein expressions of epithelial-mesenchymal transition-related markers MMP9， MMP2， Vim， ALDH1A1 and CD44 were all elevated to different extents， and the mRNA and protein expressions of E-cad were all decreased to different extents in the model group cells， and part of the differences had statistical significance （P＜0.05）， the p-JAK2/JAK2 ratio and p-STAT3/STAT3 ratio were significantly increased in the model group （P＜0.05）； compared with the model group， the expressions of the above indicators were reversed to some extent in the administration group. CONCLUSIONS Ursolic acid blocks the activation of JAK2/STAT3 signaling pathwby the inflammatory factor IL-6， which ultimately interrupts the invasion and metastasis of breast cancer cells.

Study of the relationship between smoking and brain aging using machine learning model based on MRI / 中华放射学杂志

Objective:To explore the value of machine learning models based on MRI predict the brain age of smokers and healthy controls, and further to explore the relationship between smoking and brain aging.Methods:This was a retrospective study. Dataset 1 consisted of 95 male smokers [20-50 (34±7) years old] and 49 healthy controls [20-50 (33±7) years old] recruited from August 2014 to October 2017 in First Affiliated Hospital of Zhengzhou University. Dataset 2 contained 114 healthy male volunteers [20-50 (34±11) years old] from the Southwestern University Adult Imaging Database from 2010 to 2015. All subjects underwent high-resolution 3D T 1WI scan. Gaussian process regression (GPR) model and support vector machine model were constructed to predict brain age based on structural MR images of healthy controls in dataset 1 and dataset 2. After the performance of the model was verified by the cross-validation method, the mean absolute error (MAE) between the predicted brain age and the actual age and the correlation ( r-value) between the actual age and the predicted brain age were calculated, and the best model was finally selected. The best models were applied to smokers and healthy controls to predict brain age. Finally, a general linear model was used to compare the differences in brain-predicted age difference (PAD) between smokers and healthy controls with age, taking years of education and total intracranial volume as covariates. Result:The performance of GPR model (MAE=5.334, r=0.747) in predicting brain age was better than support vector machine model (MAE=6.040, r=0.679). The GPR model predicted that PAD value of smokers in dataset 1 (2.19±6.64) was higher than that of healthy controls in dataset 1 (-0.80±8.94), and the difference was statistically significant ( F=8.52, P=0.004). Conclusion:GPR model based MRI has better performance in predicting brain age in smokers and healthy controls, and smokers show increased PAD values, further indicating that smoking accelerates brain aging.

Functional magnetic resonance study on static and dynamic amplitude of low frequency fluctuation in male smoking addicts / 中华行为医学与脑科学杂志

Objective:To explore the differences of static and dynamic spontaneous brain activity between male smoking addicts and healthy controls, and analyze the mechanism of smoking addiction.Methods:Based on static amplitude of low-frequency fluctuation (sALFF) and dynamic amplitude of low frequency fluctuation (dALFF), the differences of static and dynamic spontaneous brain activity were compared between male smoking addicts ( n=63) and healthy controls ( n=30) by independent sample t-test. Pearson correlation analysis was used to investigate the relationships between the altered dALFF values and score of Fagerstr?m test for nicotine dependence(FTND) and pack-years of smoking addicted males. Results:Compared with healthy controls, the values of sALFF in the left superior/middle/inferior orbitofrontal gyrus ( t=5.17, clusters≥108) were increased and the variation of dALFF in the right superior temporal/middle gyrus, left orbitofrontal region, left orbital superior/middle/inferior frontal gyrus, right orbitofrontal gyrus/middle/inferior frontal gyrus and right putamen ( t=4.90, 4.37, 4.91, 4.62, 4.59, clusters≥96) were also increased in the smoking addicted group. It was noteworthy that the dALFF values of the right superior temporal/middle gyrus( r=0.252, P=0.047), left orbital region superior frontal gyrus( r=0.281, P=0.026) and right putamen( r=0.313, P=0.012) were positively correlated with pack-years of male smoking addicts. Conclusion:Male smoking addicts may have abnormal static and dynamics spontaneous neural activity in prefrontal cortex (including orbital frontal lobe), putamen and superior temporal/middle gyrus, which are correlated with pack-years.