Objective To investigate the corelation between platelet activating factor acetylhydrolase (PAF-AH) genetic polymorphism and ischemic stroke. Methods The plasma PAF-AH genotype was determined in 205 patients with iachemic stroke and 114 normal subjects by the polymerase chain reaction. The levels of plasma platelet activating factor (PAF), platelet α-granule membrane glycoprotein-140(GMP-140), β-thromboglobulin (β-TG) and the levels of platelet factor 4 (PF4) were analyzed. Results The prevalence of the mutation genotype and plasma PAF, GMP-140, β-TG and PF4 in the patients with isehemic stroke [42.44%,(91.08 ± 39.10) ng/L, (36.46 ± 13.10) μg/L, (41.75 ± 11.18) μg/L, (29.05 ± 9.16) g/L, respectively] were significantly higher than those in the controls[21.05%,(64.30 ± 18.81) ng/L, (18.27 ± 7.68) μg/L, (30.94 ± 8.47) μg/L, (18.75 ± 6.06) μg/L](P< 0.01). The levels of plasma PAF, GMP-140 were significantly higher in mutation genotype patients than those in the normal genotype patients (P < 0.01). Conclusions The activation function of platelet in the acute phase of patients with ischemic stroke increases, and it is associated with genetic polymorphism of PAF-AH. The PAF-AH gene mutation may be a novel genetic marker for high risk of ischemic stroke.

Objective To establish the rat model for neurogenic bladder after complete suprasacral spinal cord injury, and analyze the urodynamics. Methods Forty adult Sprague-Dawley rats were randomly divided into control group (n=10) and experimental group (n=30). The spinal cord injury model on T10 was made with modified spinal cord transaction. The Crede's method was used to urinate assistantly af-ter modeling. The amounts of urine and successful rat model everyday were recorded. The urodynamics was measured in both groups, and the morphology was observed with HE staining. Results Four rats died in the experimental group. The amount of urine was the least and sta-ble on the 18th day, and 24 rats were successfully modeled on the 21st day. Compared with the control group, maximum bladder capacity de-creased (t=3.150, P=0.021), bladder base pressure, maximum bladder pressure and leak point pressure increased (t>3.125, P<0.01), and blad-der compliancy decreased (t=5.330, P=0.002) in the experimental group. Conclusion The complete suprasacral after spinal cord injury of neurogenic bladder in a rat model of manufacturing method is of high reliability, good repeatability, and low coefficient of variable character-istics for spastistic neurogenic bladder basic experimental studies.

Objective:To evaluate the feasibility of using two-dimensional shear wave elastography (2D-SWE) based liver and spleen elastic hardness (L/S-SWE) in patients with liver cirrhosis, and to determine the exclusion and diagnostic thresholds for early identification of liver cirrhosis.Methods:A total of 574 patients with chronic hepatitis B (hepatitis B for short) were included in this study. The clinical characteristics, L-SWE and S-SWE of the patients were collected, and the differences between cirrhosis group ( n=311) and non cirrhosis group ( n=263) were analyzed. The success rate and stability of liver and spleen elastic surgery were evaluated in two groups. The receiver operating characteristic (ROC) curve was used to analyze the efficacy of L-SWE, S-SWE, aspartate aminotransferase to platelet ratio index (APRI) alone and in combination in diagnosing liver cirrhosis. By analyzing the ROC curve, the double threshold for excluding and diagnosing liver cirrhosis was determined. Results:There was a statistically significant difference in platelet count and APRI between the cirrhosis group and the non cirrhosis group (all P<0.05). In the feasibility assessment of 2D-SWE technology, the success rate and stability of liver and spleen elastic operation were relatively high (success rate: 97.2% vs 81.3%; stability: 0.92 vs 0.84), and the success rate and stability of L-SWE operation were slightly better than S-SWE. The success rate of S-SWE operation in the cirrhosis group was higher than that in the non cirrhosis group ( P<0.05). The correlation analysis results showed that L-SWE, S-SWE, APRI were positively correlated with liver tissue pathological grading ( r=0.677, 0.528, 0.149, all P<0.05). The areas under the ROC curve for identifying liver cirrhosis using L-SWE, S-SWE, and APRI were 0.959, 0.896, and 0.706, respectively. When L-SWE and S-SWE were combined, the area under the ROC curve was 0.987, the sensitivity was 92.6%, and the specificity was 96.0%. The Delong test showed that the combined diagnosis of L-SWE and S-SWE had the same diagnostic efficacy as using L-SWE alone for liver cirrhosis ( P>0.05). Further analysis of the ROC curve showed that the likelihood of liver cirrhosis was low when L-SWE was less than 9.4 kPa, and high when L-SWE was greater than 12.0 kPa. Patients between 9.4 and 12.0 kPa can undergo further S-SWE testing; If the S-SWE was between 17.5 and 29.3 kPa, it was classified as 2D-SWE, which was difficult to determine whether there was liver cirrhosis, and further liver puncture and other examinations were needed. Conclusions:2D-SWE technology has high operational feasibility in the diagnosis of liver cirrhosis, and combined with S-SWE, it helps to improve the diagnostic efficiency of early non-invasive identification of liver cirrhosis, enabling more patients to avoid unnecessary liver puncture examinations.

Objective To investigate the feasibility and application value of the benign and malignant classificational methods of renal occupying CT images based on convolutional neural networks (CNN). Methods An image omics method that can automatically learn the image features and classify CT images was used. Firstly, the CNN model obtained by large-scale natural image training was used to migrate the characteristics of the renal occupancy lesions CT images, and then the fine-tuning of the full connection layer was used to realize the benign and malignant classification of the images. Results The evaluation indexes of the VGG19 model were lower than ResNet50 and Inception V3, and the training result showed obvious overfitting. The accuracy, sensitivity and negative prediction values of the Inception V3 model was 93.8％, 99.5％ and 99.1％, respectively, which were higher than that of the ResNet50 model. Conclusions The benign and malignant classification of renal occupancy lesions CT images using CNN is a reasonable and feasible method, and the fine-tuned Inception V3 model has a better classification performance.

Tumor-associated macrophages (TAMs) mostly exhibit M2-like (alternatively activated) properties and play positive roles in angiogenesis and tumorigenesis. Vascular endothelial growth factor (VEGF) is a key angiogenic factor. During tumor development, TAMs secrete VEGF and other factors to promote angiogenesis; thus, anti-treatment against TAMs and VEGF can repress cancer development, which has been demonstrated in clinical trials and on an experimental level. In the present work, we show that miR-150 is an oncomir because of its promotional effect on VEGF. MiR-150 targets TAMs to up-regulate their secretion of VEGF in vitro. With the utilization of cell-derived vesicles, named microvesicles (MVs), we transferred antisense RNA targeted to miR-150 into mice and found that the neutralization of miR-150 down-regulates miR-150 and VEGF levels in vivo and attenuates angiogenesis. Therefore, we proposed the therapeutic potential of neutralizing miR-150 to treat cancer and demonstrated a novel, natural, microvesicle-based method for the transfer of nucleic acids.
Animals ; Carcinogenesis ; genetics ; metabolism ; pathology ; Cell Line, Tumor ; Exosomes ; HEK293 Cells ; Heterografts ; Humans ; Macrophages ; metabolism ; Male ; Mice ; Mice, Inbred C57BL ; MicroRNAs ; genetics ; metabolism ; Neoplasm Transplantation ; RNA, Antisense ; administration & dosage ; genetics ; Up-Regulation ; Vascular Endothelial Growth Factor A ; genetics ; metabolism

Objective:To investigate the resting state functional connectivity changes of the " triple network model" composed of salient network (SN), executive control network (ECN) and default mode network (DMN) in patients with acute mild traumatic brain injury (mTBI).Methods:From August 2020 to December 2021, forty-five acute mTBI patients (mTBI group) and 40 healthy controls (HC group) with matched sex, age, and education were included.The Montreal cognitive assessment (MoCA) scale was used to evaluate the cognitive status of all subjects.The resting state network (RNS) was established based on independent component analysis (ICA), and the SN, ECN and DMN were extracted, then functional network connectivity (FNC) was analyzed.Subsequently, the correlation between functional connectivity abnormalities and the performance of cognitive impairment was analyzed.SPSS 19.0 was used for statistical analysis and double sample t test was used for comparison between the tow groups. Results:Compared with HC group, mTBI group had enhanced functional connectivity between SN(L-insula) (MNI: x, y, z=-36, 15, 0, t=3.693)and ECN (left superior parietal gyrus, L-SPG) (MNI: x, y, z=-33, -69, 54, t=3.333)(FDR adjust, P<0.05), and decreased functional connectivity between DMN(left superior frontal gyrus, L-SFG) (MNI: x, y, z=-30, 30, 42, t=-4.063)and DMN(L-angular gyrus)(MNI: x, y, z=-21, -66, 33, t=-4.101)(FDR adjust, P<0.05). For FNC analysis, functional network connectivity in SN(IC26)-DMN(IC8) was enhanced in the acute mTBI group and decreased between SN(IC26)-DMN(IC12) and ECN(IC3)-DMN(IC12). The changes of left superior parietal gyrus functional connection were negatively correlated with MoCA score ( r=-0.627, P<0.01), and SN (IC26) -DMN(IC12) connection was positively correlated with MoCA score ( r=0.411, P=0.005). Conclusions:In patients with acute mTBI, the resting functional connectivity changes within and between the networks of the " triple network model" composed of SN, ECN and DMN, and is related to the decline of cognitive function.This will help to better understand the neuropathological mechanism of acute mTBI and post-traumatic cognitive impairment, and may become an effective imaging marker for identifying and predicting cognitive impairment after mTBI.

Objective:To compare the biomechanical properties of dynamic hip screw (DHS), traditional cannulated compression screw (CCS) configuration, traditional CCS configuration+medial locking plate and compression buttress screw (CBS) in the treatment of femoral neck fracture by finite element analyses.Methods:A simulation model of Pauwels type Ⅲ femoral neck fracture with discontinuous medial cortex was established by the finite element method. The maximum displacement, maximum principal stress, normal form equivalent stress, hip varus angle and fracture end stress were compared between DHS (group A), traditional CCS configuration (group B), traditional CCS configuration+medial locking plate (group C) and CBS (group D) in the simulation model.Results:In the internal fixation model in groups A, B, C and D, respectively, the maximum displacement of the femur was 0.41 mm, 2.04 mm, 0.94 mm and 0.30 mm; the maximum displacement of internal fixation 0.34 mm, 1.18 mm, 0.84 mm and 0.22 mm; the peak normal form stress of internal fixation 83.6 MPa, 231.4 MPa, 259.8 MPa and 194.8 MPa; the maximum principal stress of internal fixation 52.3 MPa, 216.3 MPa, 151.7 MPa and 74.6 MPa; the maximum normal form stress of the femur 101.1 MPa, 282.3 MPa, 100.5 MPa and 181.2 MPa; the maximum principal stress 99.7 MPa, 201.0 MPa, 60.9 MPa and 56.1 MPa; the axis angle of the femoral neck after loading 179.55°, 176.97°, 179.66° and 179.64°; the normal form equivalent stress at the fracture end ranged from 42.0 to 50.0 MPa, from 258.7 to 282.3 MPa, from 50.8 to 58.1 MPa, and from 45.3 to 60.4 MPa.Conclusion:Considering stability, stress distribution and prevention of hip varus and femoral neck shortening, CBS may be a choice treatment for femoral neck fracture because it is comparable to DHS in mechanical stability.

Objective:To evaluate the effect of deep learning based on DWI and fluid attenuated inversion recovery (FLAIR) to construct a prediction model of the onset time in acute stroke.Methods:A total of 324 cases of acute stroke with clear onset time, from January 2017 to May 2020 in Nanjing First Hospital, were retrospectively enrolled and analyzed. The patients were divided into a training set of 226 patients and a test set of 98 patients according to the complete randomization method using a 7∶3 ratio, and the patients were divided into ≤ 4.5 h and >4.5 h according to symptom onset time in each group. The acute infarction areas on DWI and the corresponding high signal area on FLAIR were manually outlined by physician. Using the InceptionV3 model as the basic model for image features extraction, the deep learning prediction model based on single sequence (DWI, FLAIR) and multi sequences (DWI+FLAIR) were established and verified. Then the area under curve (AUC), accuracy of human readings, single sequence model and multi sequence model in predicting the acute stroke onset time from imaging were compared.Results:DWI-FLAIR mismatch was found in 94 cases (94/207) of patients with symptom onset time from imaging ≤ 4.5 h, while in 28 cases (28/117) of patients with symptom onset time from imaging >4.5 h. ROC analysis showed that the AUC of DWI-FLAIR mismatch in predicting acute stroke onset time from imaging was 0.607, and the accuracy was 60.2%. The prediction model of deep learning based on single sequence showed that the AUC of FLAIR was 0.761 and the accuracy was 71.4%; the AUC of DWI was 0.836 and the accuracy was 81.6%. The AUC of predicting stroke onset time based on the multi-sequence (DWI+FLAIR) deep learning model was 0.852, which was significantly better than that of manual identification ( Z = 0.617, P = 0.002), FLAIR sequence deep learning model ( Z = 2.133, P = 0.006) and DWI sequence deep learning model ( Z = 1.846, P = 0.012). Conclusion:The deep learning model based on DWI and FLAIR is superior to human readings in predicting acute stroke onset time from imaging, which could provide guidance for intravenous thrombolytic therapy for acute stroke patients with unknown onset time.

Great progress has been made in the treatment of lymphoma in recent decades, but the prognosis for patients with relapsed or refractory lymphoma is often disappointing. Studies have found that the pathogenesis of non-Hodgkin lymphoma is associated with changes in histone acetylation. Histone deacetylase inhibitors can increase the level of histone acetylation in lymphoma cells, and exert anti-lymphoma effects through mechanisms such as cell cycle inhibition, induction of apoptosis, and immunomodulation. However, histone deacetylase inhibitors alone have limited therapeutic effects, and the combination with other antineoplastic drugs for the treatment of relapsing and refractory non-Hodgkin lymphoma has shown good efficacy. Summarizing basic research and clinical trials of histone deacetylase inhibitor containing regimens provides ideas for the treatment of lymphoma.

Objective:To investigate the local consistency of inferior colliculus and ventrolateral orbital cortex by resting-state functional magnetic resonance imaging (fMRI) in rats with noise induced deafness and its relationship with anxiety- and depression-like behavior.Methods:Twenty-four clean grade male four-weeks old SD rats were randomly divided into noise group and control group with 12 rats in each group.Rats in the noise group were exposed to 122 dB broadband strong noise for 2 hours to induce severe bilateral hearing loss, while rats in the control group were placed in a quiet environment. Hearing thresholds were assessed by auditory brainstem response (ABR) test. The open field test (OFT) was conducted to examine anxiety-depression related behavior, and the local consistency in the rat brain was evaluated by fMRI.SPM12 software was used to process fMRI data, and Pearson correlation analysis was conducted by SPSS 22.0 software to calculate the correlation between fMRI data and behavior.Results:The results of ABR showed that the full band hearing threshold of rats in the noise group was higher than that of rats in the control group ((85.417±6.463) dB, (20.083±8.853) dB, t=46.168, P<0.001). And compared with control group, the rats in the noise group showed obvious anxiety-depression-like behavior in the open field test, that was, low activity level.The results of OFT showed that the total distance ((39.912±5.696) m, (47.993±10.820)m, t=-2.289, P=0.032), average moving speed ((13.306±1.900)cm/s, (15.998±3.607)cm/s, t=-2.290, P=0.032) and standing times ((13.333±5.960), (23.500±7.323), t=-3.730, P=0.001) of the rats in the noise group were all lower than those in the control group. Compared with the control group, the local consistency of hypothalamus in the noise group was significantly enhanced, while the local consistency of ventrolateral orbital cortex was significantly reduced, and the abnormal neural activity was lateralized. The correlation analysis showed that the neural activity of the inferior colliculus was negatively correlated with the total distance of rats in the noise group moving in the open field( r=-0.691, P=0.013), while the neural activity of the ventrolateral orbital cortex was not significantly correlated with the anxiety-depression-like behavior in the open field. Conclusions:The neural activity of inferior colliculus is closely related to anxious-depression behavior in rats with noise-induced deafness, while the ventrolateral orbital cortex may be related with other behaviors.