Objective:To reveal the dynamic characteristics of the intracellular complement mRNA from mouse macrophage ANA-1 treated with LPS or IL-4. Methods:The polarization models of macrophage ANA-1 were established by treating with LPS(1μg/ml) and IL-4(20 ng/ml),respectively. After treating at 3,8,12 and 24 h,the total RNA were abstracted by Trizol lysis methods . The macrophage polarization were estimated by the expression of IL-1β, CCL2 and Arg-1 mRNA detected by Real-time fluorescent quantitative PCR. The intracellular complement C1q, C3, CfB and CRIg mRNA were quantitatively analyzed. Results: The mouse macrophage ANA-1 cells treated with LPS was polarized to M1 since the levels of IL-1β and CCL2 mRNA were up-regulated significantly,in which their 2-△△Ct value were up to 297. 0±31. 0 and 19. 9±3. 3 respectively at 12 h. On the other hand,the ANA-1 cells treated with IL-4 was polarized to M2 because the level of Arg-1 mRNA was obviously higher( the 2-△△Ct value of Arg-1 mRNA was up to 27.3±9.1 at 24 h)(P<0.05).The intracellular complement C1q,C3,CfB and CRIg mRNAs all were up-regulated in different polarized macrophages. The intracellular C1q and C3 mRNA in polarized M2 were significantly higher,in which the peak value of C1q and C3 were to 94. 9±12. 9 and 11. 3±2. 4 at 12 h,respectively(P<0. 05). Reversely,the CfB mRNA in polarized M1 increased obviously,in which its 2-△△Ct was to 61. 4±6. 2 at 12 h. In addition,the CRIg mRNA in both groups was only up-regulated at 24 h,in which the 2-△△Ct value was 6. 5±1. 8 in M1 and 10. 8±3. 2 in M2(P<0. 05). Conclusion: The macrophage ANA-1 cell polarization models were successfully established by treated with LPS or IL-4. The intracellular complement C1q,C3 and CRIg mRNA in polarized M2 were transcripted more than in M1. But the intracellular CfB mRNA in polarized M1 was up-regulated significantly. These results suggested that the dynamic characteristic of complement components in different polarized macrophage would be correlated with its fun-tions.

OBJECTIVEThe present study is to investigate the protective effects of asiaticoside on sepsis-induced acute kidney injury in mice.

METHODWith the sepsis induced by cecal ligation and puncture (CLP), forty eight kunming mice were randomly divided into four groups as sham operated, CLP treated, CLP + asiaticoside 15, 45 mg x kg(-1) groups. General conditions and the amount of dead rate of mice were observed. The BUN and Cr levels were observed by the kits. IL-6 in serum was assayed by enzyme-linked immunosorbent assay (ELISA). Kidney tissues were harvested for determination of iNOS expression by Western blotting analysis. The pathologic changes were observed under electron microscope via hematoxylin-eosin (HE) stain.

RESULTCompared with CLP group, the death rate, the levels of BUN, Cr, IL-6, and iNOS protein expression of asiaticoside groups were significantly reduced. The pathologic changes in kidney tissues induced by sepsis were significantly attenuated dose-dependently by asiaticoside under electron microscope.

CONCLUSIONAsiaticoside has protective effects against sepsis-induced acute kidney injury, which were probably associated with the inhibition of IL-6 in serum and iNOS protein in kidney tissues.

Acute Kidney Injury ; drug therapy ; etiology ; prevention & control ; Animals ; Disease Models, Animal ; Female ; Humans ; Male ; Mice ; Plant Extracts ; administration & dosage ; Random Allocation ; Sepsis ; complications ; Triterpenes ; administration & dosage

Objective:To explore the values of fat saturation sequence in MRI for juvenile arthritis.Methods:A total of 1 131 cases with juvenile arthritis and 1 601 with symptomatic arthritis were examined by MRI normal T1 weighted imaging (T1WI) and T2 weighted imaging (T2WI)sequence and spectral presaturation attenuatedinversion recovery (SPAIR) T2 fat saturation sequence.All the images were independently evaluated by two senior doctors from the Department of Radiology and the Department of Pediatric Rheumatology and Immunology respectively to confirm the types and degree of pathological changes of joint tissues.Results:Among the subjects,847 patients demonstrated positive in MRI,accounting for 52.9％;409 patients showed positive in normal sequence,accounting for 48.3％;816 patients showed positive in fat saturation sequence,accounting for 96.3％.Joint hydrops accounted for 59.5％.Bone marrow edema accounted for 39.7％.The relevant ratio of bone marrow edema,joint hydrops,thickening of synovium and cartilage injuries in fat saturation sequence were higher than that in normal sequence (P＜0.05).The relevant ratio of bone erosion in normal sequence was higher than that in fat saturation sequence (P＜0.05).However,no significant difference of joint cysts was found between the fat saturation sequence and normal sequence (P＜0.05).Conclusion:Application of fat saturation sequence by MRI to check juvenile arthritis could obviously improve the positive MRI relevant ratio.In addition,the relevant ratio of the early pathological changes of juvenile arthritis (such as bone marrow edema and joint hydrops) was high,which might provide references for the early diagnosis of juvenile arthritis.

Objective To observe the dynamic changes of cardiac lymphangiogenesis in Doxorubicin(DOX)-induced dilated cardiomyopathy(DCM)model mice,and to study the the protective mechanism of Kuoxin Decoction.Methods The DCM mouse model was established by intraperitoneal injection of DOX,and the dynamic observation was performed every week.On this basis,60 C57BL/6 mice were randomly divided into 6 groups(n=10):control group,Model group,L-KXD,M-KXD and H-KXD groups and Captopril group.After successful modeling,the KXD and the positive control drug Captopril were administered continuously for 28 days.Echocardiography was used to detect cardiac function in mice,HE staining and Masson staining were used to observe pathological and morphological changes of the heart,Whole-mount immunofluorescent staining was used to detect the expression of LYVE-1 and Podoplanin in epicardial lymphatic vessels,Western blot was used to detect the expression of VEGFR-3 protein,and qPCR was used to detect the expression of VEGFR-3 mRNA.Results DCM mice induced by DOX showed significant cardiac function decline from the third week(DOX:15 mg·kg-1,P<0.05),and significant ventricular remodeling at the fifth week(DOX:15 mg·kg-1,P<0.01);The lymphatic vessel area of the mouse heart decreased significantly from the fourth week(DOX:20 mg·kg-1,P<0.0001),and the expression of VEGFR-3 decreased significantly from the third week(DOX:15 mg·kg-1,P<0.01).Conclusion KXD can improve ventricular remodeling and cardiac function in DOX-induced DCM mice,promote cardiac lymphangiogenesis,and upregulate the expression of VEGFR-3 at protein and mRNA levels,with a better effect than captopril.DOX-induced cardiac lymphangiogenesis in DCM mice leads to severe myocardial fibrosis and weakened cardiac function,which gradually worsens with the accumulation of modeling time and dose.KXD can promote cardiac lymphangiogenesis and improve cardiac function in DOX-induced DCM mice.The mechanism may be related to the up-regulation of VEGFR-3 expression.

Objective To make quantitative analysis on collected cell images combined with machine learning integrated clustering algorithm, so as to explore a method for fast recognition and classification of cells in mixed cultures based on morphology. Methods The morphometric properties of A549 and 3T3 cells in vitro were characterized by immunostaining, the fluorescent images were then analyzed with CellProfiler to extract the parameters of cell morphology. The parameters were loaded into CellProfiler Analyst to be trained with machine learning algorithm, and a rule was developed to form a generalization capability for cell classification in mixed cultures. Results The accuracy of the training classifier was 81-24%, and the binary classifications of A549 and 3T3 cells could be realized. Conclusions The method of machine learning is very effective in parameter clustering. The application of machine learning into cell image recognition can provide pre-judgment for rapid pathological examination of tissue sections, thereby reducing the workload of doctors and improving the accuracy of diagnosis.

Objective:To evaluate the Kyoto gastritis score for diagnosing Helicobacter pylori ( HP) infection in Chinese people. Methods:A total of 902 cases who underwent 13C-urea breath test and gastroscopy at the same time at the Digestive Endoscopy center of Renmin Hospital of Wuhan University from January 2020 to December 2020 were studied retrospectively, including 345 cases of HP-positive and 557 of HP-negative. The differences of mucosal features and Kyoto gastritis score between HP-positive and HP-negative patients were analyzed. A receiver operating characteristic curve was plotted to predict HP infection by Kyoto gastritis score. Results:Compared with HP-negative patients, nodules [8.1% (28/345) VS 0.2% (1/557), χ2=86.29, P<0.001], diffuse redness [47.8% (165/345) VS 6.6% (37/557), χ2=413.63, P<0.001], atrophy [27.8% (96/345) VS 13.8% (77/557), χ2=52.90, P<0.001] and fold enlargement [69.0% (238/345) VS 36.6% (204/557), χ2=175.38, P<0.001] occurred more frequently in HP-positive patients. For predicting HP infection, nodules showed the highest specificity [99.8% (556/557)] and positive predictive value [96.6% (28/29)], diffuse redness showed the largest area under the receiver operating characteristic curve (AUC) of 0.707, and fold enlargement showed the highest sensitivity [69.0% (238/345)] and negative predictive value [76.7% (353/460)]. The Kyoto gastritis score of HP-positive patients was higher than that of HP-negative patients [2 (1, 2) VS 0 (0, 1), Z=20.82, P<0.001]. Furthermore, at an optimal threshold of 2, the AUC of the Kyoto gastritis score for predicting HP infection was 0.779. Conclusion:Nodules, diffuse redness, atrophy and fold enlargement under gastroscopy can suggest positive of HP infection, and the Kyoto gastritis score≥2 is sufficient reference to diagnose HP positive.

Objective:To construct an artificial intelligence-assisted diagnosis system to recognize the characteristics of Helicobacter pylori ( HP) infection under endoscopy, and evaluate its performance in real clinical cases. Methods:A total of 1 033 cases who underwent 13C-urea breath test and gastroscopy in the Digestive Endoscopy Center of Renmin Hospital of Wuhan University from January 2020 to March 2021 were collected retrospectively. Patients with positive results of 13C-urea breath test (which were defined as HP infertion) were assigned to the case group ( n=485), and those with negative results to the control group ( n=548). Gastroscopic images of various mucosal features indicating HP positive and negative, as well as the gastroscopic images of HP positive and negative cases were randomly assigned to the training set, validation set and test set with at 8∶1∶1. An artificial intelligence-assisted diagnosis system for identifying HP infection was developed based on convolutional neural network (CNN) and long short-term memory network (LSTM). In the system, CNN can identify and extract mucosal features of endoscopic images of each patient, generate feature vectors, and then LSTM receives feature vectors to comprehensively judge HP infection status. The diagnostic performance of the system was evaluated by sensitivity, specificity, accuracy and area under receiver operating characteristic curve (AUC). Results:The diagnostic accuracy of this system for nodularity, atrophy, intestinal metaplasia, xanthoma, diffuse redness + spotty redness, mucosal swelling + enlarged fold + sticky mucus and HP negative features was 87.5% (14/16), 74.1% (83/112), 90.0% (45/50), 88.0% (22/25), 63.3% (38/60), 80.1% (238/297) and 85.7% (36 /42), respectively. The sensitivity, specificity, accuracy and AUC of the system for predicting HP infection was 89.6% (43/48), 61.8% (34/55), 74.8% (77/103), and 0.757, respectively. The diagnostic accuracy of the system was equivalent to that of endoscopist in diagnosing HP infection under white light (74.8% VS 72.1%, χ2=0.246, P=0.620). Conclusion:The system developed in this study shows noteworthy ability in evaluating HP status, and can be used to assist endoscopists to diagnose HP infection.

Objective: This study aimed to explore the root length of maxillary and mandibular anterior teeth and central incisor crown-root morphology in patients with high-angle skeletal Class Ⅱ open bite, aiming to provide a reference for clinical treatment. . Methods: This study was reviewed and approved by the Ethics Committee, and informed consent was obtained from the patients. CBCT images of eighty-one untreated patients (40 anterior open bite patients and 41 normal overbite patients) with high-angle skeletal Class Ⅱ malocclusion were selected before treatment. Dolphin software was used to study the root length of maxillary and mandibular anterior teeth and central incisor crown-root morphology, and the differences between the two groups were analyzed. Results: There was no statistical significance in the root length of maxillary lateral incisor and canine between the open bite group and the normal overbite group, significant differences were found in the root length of maxillary central incisor （11.12 ± 1.37） mm、mandibular central incisor（10.15 ± 1.09）mm, mandibular lateral incisor（11.27 ± 1.15）mm and mandibular canine（12.81 ± 1.48）mm between the open bite group and the normal overbite group（P<0.05）. On the other hand, the two groups were significantly different in crown-root morphology of the maxillary central incisor (1.10° ± 3.62° vs. 4.53° ± 2.30°, P<0.01) but not in the mandibular central incisor. Conclusion The root length of the maxillary central incisor, mandibular central incisor, mandibular lateral incisor, mandibular canine in high-angle Class Ⅱ open bite patients is shorter than that in high-angle Class Ⅱ normal overbite patients, and the long axis of the crown of the maxillary central incisor in high-angle Class Ⅱ open bite patients obviously deviates toward the labial side relative to the long axis of the root. The crown-root angle is smaller, which is beneficial to torque control or adduction movement of the anterior teeth in high-angle Class Ⅱ open bite patients.

Objective:To assess the diagnostic efficacy of upper gastrointestinal endoscopic image assisted diagnosis system (ENDOANGEL-LD) based on artificial intelligence (AI) for detecting gastric lesions and neoplastic lesions under white light endoscopy.Methods:The diagnostic efficacy of ENDOANGEL-LD was tested using image testing dataset and video testing dataset, respectively. The image testing dataset included 300 images of gastric neoplastic lesions, 505 images of non-neoplastic lesions and 990 images of normal stomach of 191 patients in Renmin Hospital of Wuhan University from June 2019 to September 2019. Video testing dataset was from 83 videos (38 gastric neoplastic lesions and 45 non-neoplastic lesions) of 78 patients in Renmin Hospital of Wuhan University from November 2020 to April 2021. The accuracy, the sensitivity and the specificity of ENDOANGEL-LD for image testing dataset were calculated. The accuracy, the sensitivity and the specificity of ENDOANGEL-LD in video testing dataset for gastric neoplastic lesions were compared with those of four senior endoscopists.Results:In the image testing dataset, the accuracy, the sensitivity, the specificity of ENDOANGEL-LD for gastric lesions were 93.9% (1 685/1 795), 98.0% (789/805) and 90.5% (896/990) respectively; while the accuracy, the sensitivity and the specificity of ENDOANGEL-LD for gastric neoplastic lesions were 88.7% (714/805), 91.0% (273/300) and 87.3% (441/505) respectively. In the video testing dataset, the sensitivity [100.0% (38/38) VS 85.5% (130/152), χ2=6.220, P=0.013] of ENDOANGEL-LD was higher than that of four senior endoscopists. The accuracy [81.9% (68/83) VS 72.0% (239/332), χ2=3.408, P=0.065] and the specificity [ 66.7% (30/45) VS 60.6% (109/180), χ2=0.569, P=0.451] of ENDOANGEL-LD were comparable with those of four senior endoscopists. Conclusion:The ENDOANGEL-LD can accurately detect gastric lesions and further diagnose neoplastic lesions to help endoscopists in clinical work.

Objective:To construct a real-time artificial intelligence (AI)-assisted endoscepic diagnosis system based on YOLO v3 algorithm, and to evaluate its ability of detecting focal gastric lesions in gastroscopy.Methods:A total of 5 488 white light gastroscopic images (2 733 images with gastric focal lesions and 2 755 images without gastric focal lesions) from June to November 2019 and videos of 92 cases (288 168 clear stomach frames) from May to June 2020 at the Digestive Endoscopy Center of Renmin Hospital of Wuhan University were retrospectively collected for AI System test. A total of 3 997 prospective consecutive patients undergoing gastroscopy at the Digestive Endoscopy Center of Renmin Hospital of Wuhan University from July 6, 2020 to November 27, 2020 and May 6, 2021 to August 2, 2021 were enrolled to assess the clinical applicability of AI System. When AI System recognized an abnormal lesion, it marked the lesion with a blue box as a warning. The ability to identify focal gastric lesions and the frequency and causes of false positives and false negatives of AI System were statistically analyzed.Results:In the image test set, the accuracy, the sensitivity, the specificity, the positive predictive value and the negative predictive value of AI System were 92.3% (5 064/5 488), 95.0% (2 597/2 733), 89.5% (2 467/ 2 755), 90.0% (2 597/2 885) and 94.8% (2 467/2 603), respectively. In the video test set, the accuracy, the sensitivity, the specificity, the positive predictive value and the negative predictive value of AI System were 95.4% (274 792/288 168), 95.2% (109 727/115 287), 95.5% (165 065/172 881), 93.4% (109 727/117 543) and 96.7% (165 065/170 625), respectively. In clinical application, the detection rate of local gastric lesions by AI System was 93.0% (6 830/7 344). A total of 514 focal gastric lesions were missed by AI System. The main reasons were punctate erosions (48.8%, 251/514), diminutive xanthomas (22.8%, 117/514) and diminutive polyps (21.4%, 110/514). The mean number of false positives per gastroscopy was 2 (1, 4), most of which were due to normal mucosa folds (50.2%, 5 635/11 225), bubbles and mucus (35.0%, 3 928/11 225), and liquid deposited in the fundus (9.1%, 1 021/11 225).Conclusion:The application of AI System can increase the detection rate of focal gastric lesions.