Diabetes mellitus(DM)is a chronic metabolic disease characterized by persistent hyperglycemia and rapidly increasing. The ocular surface microbiota(OSM)consists of microbial communities that colonize the eye surface, mainly bacteria, and perform an important role in maintaining ocular health. Hyperglycemia creates a favorable microenvironment for the OSM, leading to an imbalance of the microflora. However, unpredictable changes in OSM are strongly associated with dry eye disease, corneal neuropathy, and infectious ocular surface diseases in environmental changes. In recent years, next-generation sequencing technology has been applied to detect the OSM and confirm that the eye microbiome is closely related to DM. Research indicates that dysbiosis of the OSM plays a critical role in the onset and progression of DM-related ocular surface diseases. This review investigates the correlation between OSM and patients with DM. Moreover, we provide a reference for the occurrence and development of diabetes-related ocular surface diseases and their treatment.

Objective To observe the value of extracellular volume(ECV)and relative electron density(RED)based on dual-layer detector spectral CT(DLCT)for identifying colon cancer invasion into serous membrane.Methods Sixty-two patients with pathologically confirmed colon cancer with blurred pericolonic fat gap on CT images were retrospectively collected,including 18 cases of T4a stage tumors with serous membrane invasion and 44 cases of T2-T3 stage without serous membrane invasion.The arterial,venous and delayed phase DLCT images under 40 keV showing the largest diameter of colon cancers were analyzed.The iodine concentration(IC)and RED of the pericolonic fat around tumor-bearing and tumor-free intestines,as well as of the abdominal aorta or the common or external iliac artery were measured,while normalized IC(NIC)and difference of RED(REDdiff)of pericolonic fat around tumor-bearing and tumor-free intestines in each phase and ECV in delayed phase were calculated.The above parameters were compared between tumors with different stages,and for those with significant differences,the receiver operating characteristic curves were drawn,and the areas under the curve(AUC)were calculated to evaluate and compare the efficacies for identifying invasion of serous membrane in T4a stage colon cancer.Results Compared with T2-T3 stage colon cancers,T4a stage colon cancers were found more often occurred in patients aged ＜50 with higher proportion of lymph node metastases(both P＜0.05),also higher values of NIC and REDdiff on images in different phases,as well as ECV in delayed phase images(all P＜0.05).The AUC of arterial,venous and delayed phase NIC for differentiating T2-T3 and T4a stage colon cancers ranged from 0.868 to 0.902,while of REDdiff ranged from 0.848 to 0.903,all without significant difference(all P＞0.05).The AUC of delayed phase ECV was 0.948,not significant different with that of delayed phase NIC and REDdiff,arterial phase NIC nor venous phase REDdiff(all P＞0.05).Conclusion Based on DLCT,ECV and RED could be used to identifying serous membrane invasion of colon cancer when blurred pericolonic fat gaps were noticed.

Purpose To investigate the value of MRI multimodal parameters in predicting sentinel lymph node(SLN)metastasis of breast cancer,and to develop an effective prediction model to reduce the unnecessary biopsy rate of SLN.Materials and Methods Preoperative MRI data of 310 patients with cN0 breast cancer confirmed by operation and pathology in Sir Run Run Shaw Hospital,Zhejiang University School of Medicine from January 2019 to December 2021 were retrospectively analyzed,and all patients were divided into positive group and negative group according to whether SLN metastasized.Imaging features of breast lesions were evaluated independently by two radiologists,differences in parameter between the two groups were compared,independent predictors were screened to build models and evaluate diagnostic efficacy.Results The breast lesions in SLN positive group were located in the upper quadrant(χ2=14.94),non-single(χ2=9.29),circular enhancement(χ2=9.23)and the positive rate of adjacent angiogenesis(χ2=9.91)were higher than those in SLN negative group.The lesions in SLN positive group were larger(Z=-2.97,-2.73),and the early enhancement rate was higher(t=-3.48).The minimum apparent diffusion coefficient and relative apparent diffusion coefficient(minimum apparent diffusion coefficient of lesions/apparent diffusion coefficient of glands,rADC)were lower(Z=-7.33,-10.74),all P<0.05.Logistic regression results showed lesion location(OR=4.17,95%CI 1.86-9.35,P=0.001),early enhancement rate(OR=1.01,95%CI 1.00-1.02,P=0.019)and rADC(OR=54.67,95%CI 23.72-126.02,P<0.001)were independent risk factors for SLN metastasis.The model combining lesion location and rADC had the best predictive performance,with a negative predictive value of 96.5%and a 46.1%reduction in unnecessary biopsies.Conclusion SLN preoperative prediction model(lesion location,rADC)based on conventional MRI characteristic parameters has reliable negative prediction value,which is expected to reduce the unnecessary biopsy of nearly half of the patients with stage cN0 breast cancer.

Objective:To investigate the role of group 3 innate lymphoid cells (ILC3) in skin wound healing, and to explore the underlying mechanisms.Methods:Twenty-four 5-week-old male C57BL/6 mice were randomly and equally allocated into 3 groups: the skin wound + ILC3 inhibitor group (referred to as ILC3 inhibitor group), the skin wound group, and the control group, with 8 mice in each group. Four days before the establishment of the wound model, mice in the ILC3 inhibitor group were intraperitoneally injected with 1 μg of ILC3 inhibitor every 2 days for a total of 2 doses, mice in the skin wound group were injected with an equal volume of physiological saline solution, and mice in the control group were fed normally. To establish a mouse skin wound model, a full-thickness circular incision with a diameter of 0.6 cm was made around the midpoint of the dorsal midline using a biopsy punch after the intraperitoneal injection of anesthetics, which was histologically confirmed to be a full-thickness injury. The size of the wounds was observed and recorded, photographs of the wounds were taken on days 0, 1, 3, 5, 7, and 9 after wounding, and corresponding wound healing rates were calculated. On day 9 after wounding, tissue samples were collected from the wound edges, and subjected to flow cytometry analysis to quantify ILC3 infiltrating around the skin wound, and hematoxylin and eosin (HE) staining was performed to assess the healing status of the skin wounds. Real-time quantitative polymerase chain reaction (qRT-PCR) was conducted to determine the mRNA expression of vitamin D receptor (VDR), Notch1, tumor necrosis factor-alpha (TNF-α), interleukin (IL) -17A, IL-17F, and IL-22 in the wound-edge tissues, and Western blot analysis to determine their protein expression. Statistical analysis was carried out by using one-way analysis of variance and t test. Results:On day 9 after wounding, the skin wound group showed an increased number of ILC3 in the wound-edge tissues (5.31% ± 1.47% vs. 3.10% ± 0.54%, P < 0.01), increased mRNA and protein expression of TNF-α, IL-22, IL-17A, and IL-17F (all P < 0.05), but decreased mRNA and protein expression of VDR (both P < 0.05) compared with the control group; the protein expression of Notch1 was significantly higher in the skin wound group than in the control group ( P < 0.05), but there was no significant difference in its mRNA expression between the two groups ( P > 0.05). On days 1, 3 and 5, the wound healing rates were significantly higher in the ILC3 inhibitor group (45.17% ± 9.90%, 61.58% ± 11.61%, 75.61% ± 9.12%, respectively) than in the skin wound group (25.87% ± 10.96%, 47.78% ± 13.81%, 64.55% ± 10.29%, respectively, all P < 0.05). On day 9, the ILC3 inhibitor group showed a decreased number of ILC3 around the wound (2.69% ± 0.95%, P < 0.01), decreased mRNA and protein expression of TNF-α, IL-22, IL-17A, and IL-17F in the wound-edge tissues (all P < 0.05), but increased mRNA and protein expression of Notch1 and VDR in the wound-edge tissues (all P < 0.05) compared with the skin wound group. On day 9 after wounding, histopathological examination with HE staining revealed continuous and intact epithelial structure, as well as dense and neatly arranged collagen fibers in the ILC3 inhibitor group, and the structures of hair follicles, blood vessels, and sebaceous glands were similar to those in the control group. Conclusions:Skin ILC3 infiltrated local wounds and were involved in the skin wound healing process through inflammatory factors such as TNF-α, IL-17A, IL-17F, and IL-22. Downregulating the number of ILC3 may promote skin wound healing by activating VDR and Notch1, as well as inhibiting the TNF-α signaling pathway and the expression of downstream inflammatory factors.

Myocardial dysfunction is the most serious complication of sepsis. Sepsis-induced myocardial dysfunction (SMD) is often associated with gastrointestinal dysfunction, but its pathophysiological significance remains unclear. The present study found that patients with SMD had higher plasma gastrin concentrations than those without SMD. In mice, knockdown of the gastrin receptor, cholecystokinin B receptor (Cckbr), aggravated lipopolysaccharide (LPS)-induced cardiac dysfunction and increased inflammation in the heart, whereas the intravenous administration of gastrin ameliorated SMD and cardiac injury. Macrophage infiltration plays a significant role in SMD because depletion of macrophages by the intravenous injection of clodronate liposomes, 48 h prior to LPS administration, alleviated LPS-induced cardiac injury in Cckbr-deficient mice. The intravenous injection of bone marrow macrophages (BMMs) overexpressing Cckbr reduced LPS-induced myocardial dysfunction. Furthermore, gastrin treatment inhibited toll-like receptor 4 (TLR4) expression through the peroxisome proliferator-activated receptor α (PPAR-α) signaling pathway in BMMs. Thus, our findings provide insights into the mechanism of the protective role of gastrin/CCKBR in SMD, which could be used to develop new treatment modalities for SMD.

ObjectiveTo investigate the effect of Danggui Shaoyaosan （DSS） on the morphology and function of mitochondria in rats model of Alzheimer's disease （AD） and its possible mechanism. MethodRats model of AD was established by injection of streptozocin （STZ） into bilateral ventricles of SD rats. The 40 rats were randomly divided into sham group， model group， low， medium and high dosages of Danggui Shaoyaosan （12，24，36 g·kg^-1·d^-1） groups，observed the morphological changes of mitochondria in hippocampus of rats by electron microscopy after 14 days of continuous gavage. In situ end labeling（TUNEL） staining used to detect apoptosis and immunofluorescencereactive used to observe the expression of reactive oxygen species （ROS） and peroxisome proliferators-activated receptor γ coactivator lalpha （PGC-1α），quantitative Real-time polymerase chain reaction（Real-time PCR）detected the mRNA expression of dynamin-related protein 1 （Drp1），mitochondrial fusion protein 2 （MFN2） ，cytochrome C oxidase subunit Ⅳ （COX Ⅳ） and PGC-1α. Western blot detected the protein expression of adenosine 5'-monophosphate （AMP）-activated protein kinase （AMPK），phosphorylation（p）-AMPK，recombinant Sirtuin 1 （SIRT1） and PGC-1α. ResultCompared with the sham group，the results of model group showed that the damage of mitochondria in hippocampus was more obvious，accelerated the ROS production and apoptosis rate （P<0.01），decreased the mRNA level of MFN2，COX Ⅳ，PGC-1α，increased the mRNA level of Drp1，and descended the protein of p-AMPK/AMPK，SIRT1，PGC-1α （P<0.05，P<0.01）.Compared with the model group，the medium and high dose of DSS group notably improved the damage of mitochondria，reduced the production of ROS and apoptosis rate （P<0.01），promoted the mRNA expression of MFN2，COX Ⅳ，PGC-1α，inhibited the mRNA expression of Drp1，and up-regulated the protein of p-AMPK/AMPK，SIRT1，PGC-1α （P<0.01）. ResultDSS can significantly ameliorate the mitochondrial homeostasis imbalance in AD rats.

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.

Objective:To compare the ability of deep convolutional neural network-crop (DCNN-C) and deep convolutional neural network-whole (DCNN-W), 2 artificial intelligence systems based on different training methods to dignose early gastric cancer (EGC) diagnosis under magnifying image-enhanced endoscopy (M-IEE).Methods:The images and video clips of EGC and non-cancerous lesions under M-IEE under narrow band imaging or blue laser imaging mode were retrospectively collected in the Endoscopy Center of Renmin Hospital of Wuhan University, for the training set and test set for DCNN-C and DCNN-W. The ability of DCNN-C and DCNN-W in EGC identity in image test set were compared. The ability of DCNN-C, DCNN-W and 3 senior endoscopists (average performance) in EGC identity in video test set were also compared. Paired Chi-squared test and Chi-squared test were used for statistical analysis. Inter-observer agreement was expressed as Cohen′s Kappa statistical coefficient (Kappa value).Results:In the image test set, the accuracy, sensitivity, specificity and positive predictive value of DCNN-C in EGC diagnosis were 94.97%(1 133/1 193), 97.12% (202/208), 94.52% (931/985), and 78.91%(202/256), respectively, which were higher than those of DCNN-W(86.84%, 1 036/1 193; 92.79%, 193/208; 85.58%, 843/985 and 57.61%, 193/335), and the differences were statistically significant ( χ2=4.82, 4.63, 61.04 and 29.69, P=0.028, =0.035, <0.001 and <0.001). In the video test set, the accuracy, specificity and positive predictive value of senior endoscopists in EGC diagnosis were 67.67%, 60.42%, and 53.37%, respectively, which were lower than those of DCNN-C (93.00%, 92.19% and 87.18%), and the differences were statistically significant ( χ2=20.83, 16.41 and 11.61, P<0.001, <0.001 and =0.001). The accuracy, specificity and positive predictive value of DCNN-C in EGC diagnosis were higher than those of DCNN-W (79.00%, 70.31% and 64.15%, respectively), and the differences were statistically significant ( χ2=7.04, 8.45 and 6.18, P=0.007, 0.003 and 0.013). There were no significant differences in accuracy, specificity and positive predictive value between senior endoscopists and DCNN-W in EGC diagnosis (all P>0.05). The sensitivity of senior endoscopists, DCNN-W and DCNN-C in EGC diagnosis were 80.56%, 94.44%, and 94.44%, respectively, and the differences were not statistically significant (all P>0.05). The results of the agreement analysis showed that the agreement between senior endoscopists and the gold standard was fair to moderate (Kappa=0.259, 0.532, 0.329), the agreement between DCNN-W and the gold standard was moderate (Kappa=0.587), and the agreement between DCNN-C and the gold standard was very high (Kappa=0.851). Conclusion:When the training set is the same, the ability of DCNN-C in EGC diagnosis is better than that of DCNN-W and senior endoscopists, and the diagnostic level of DCNN-W is equivalent to that of senior endoscopists.

Acute gastrointestinal dysfunction is a common and important complication of sepsis. As no exiting formal definition and classification of gastrointestinal dysfunction, most of the treatment strategies for gastrointestinal dysfunction are not based on clinical evidence, but on their own clinical experience. Experts of traditional Chinese medicine, integrated traditional Chinese and Western medicine and Western medicine from various disciplines in Shanghai are organized by the Shanghai Society of Integrated Traditional Chinese and Western Medicine and the Emergency Department Branch of Shanghai Physicians Association. After repeated discussion, literature search and formulation of the outline, we developed consensus on gastrointestinal dysfunction secondary to sepsis with integrating Traditional Chinese Medicine and Western medicine by consulting extensively on clinical experts in the fields of emergency medicine, gastroenterology, general surgery, infectious medicine and traditional Chinese medicine, and holding several expert forums and consultation meetings. This clinical expert consensus focused on acute gastrointestinal injury (AGI) classification and inducer of sepsis. In this consensus, the common symptoms, diagnosis, classifications, treatment strategies and suggestions of acute gastrointestinal injury or dysfunction secondary to sepsis were explored from the aspect of both Traditional Chinese Medicine and Western medicine.