Rapid developments in biotechnology have led researchers to seek new method to improve the efficiency and accuracy of biomedical research and drug development,promoting interdisciplinary integration.Recent advancements in artificial intelligence(AI)technologies have brought unprecedented opportunities to this field.The integration of various AI models allows researchers to better utilize multi-omics data,identify disease phenotypes,interpret animal behavior,assess treatment effects,improve experimental designs,reduce the use of experimental animals,enhance animal facility management,and improve animal welfare.This article reviews the advancements in AI biomedical research over the past decade and discusses its contributions to disease phenotype identification,the selection and design of experimental animal models,animal behavior analysis,and animal facility management.It also points out the challenges related to data standardization,AI model selection and interpretability,the extrapolation process from AI models to animal experiments and clinical practice,as well as ethical considerations in using AI in sensitive areas involving human genetics and personalized medicine.This review aims to help researchers and practitioners in relevant fields understand the current state and opportunities of AI development,thus providing support for its broader application.

Metformin is a common oral hypoglycemic drug, which has an important role in improving insulin resistance and regulating the level of glucolipid metabolism.With the widespread use of metformin in recent years, new evidence suggests that it also regulates multiple biological processes such as autophagy, inflammation, angiogenesis, and fibrosis, which may provide the theoretical basis for the use of metformin in ocular disease.Current studies have implicated that metformin has great potential in ocular therapy in preclinical and clinical applications, especially for patients with diabetic retinopathy, where metformin has an important role in delaying disease progression by inhibiting hyperglycemia-induced retinal inflammation, oxidative injury, and vascular endothelial growth factor signaling pathway.For nondiabetic ocular disease, metformin ameliorated the disease course by modulating cellular metabolism, improving oxidative stress and autophagy, and downregulating pro-inflammatory cytokines.Considering the multifaceted roles beyond glucose-lowering effects, as the advantage of safety profile and low cost, metformin has the potential as a novel therapeutic strategy for the treatment of ocular disease.This article reviews the research progress on the application of metformin in ocular diseases.

Metformin is a common oral hypoglycemic drug, which has an important role in improving insulin resistance and regulating the level of glucolipid metabolism.With the widespread use of metformin in recent years, new evidence suggests that it also regulates multiple biological processes such as autophagy, inflammation, angiogenesis, and fibrosis, which may provide the theoretical basis for the use of metformin in ocular disease.Current studies have implicated that metformin has great potential in ocular therapy in preclinical and clinical applications, especially for patients with diabetic retinopathy, where metformin has an important role in delaying disease progression by inhibiting hyperglycemia-induced retinal inflammation, oxidative injury, and vascular endothelial growth factor signaling pathway.For nondiabetic ocular disease, metformin ameliorated the disease course by modulating cellular metabolism, improving oxidative stress and autophagy, and downregulating pro-inflammatory cytokines.Considering the multifaceted roles beyond glucose-lowering effects, as the advantage of safety profile and low cost, metformin has the potential as a novel therapeutic strategy for the treatment of ocular disease.This article reviews the research progress on the application of metformin in ocular diseases.

Rapid developments in biotechnology have led researchers to seek new method to improve the efficiency and accuracy of biomedical research and drug development,promoting interdisciplinary integration.Recent advancements in artificial intelligence(AI)technologies have brought unprecedented opportunities to this field.The integration of various AI models allows researchers to better utilize multi-omics data,identify disease phenotypes,interpret animal behavior,assess treatment effects,improve experimental designs,reduce the use of experimental animals,enhance animal facility management,and improve animal welfare.This article reviews the advancements in AI biomedical research over the past decade and discusses its contributions to disease phenotype identification,the selection and design of experimental animal models,animal behavior analysis,and animal facility management.It also points out the challenges related to data standardization,AI model selection and interpretability,the extrapolation process from AI models to animal experiments and clinical practice,as well as ethical considerations in using AI in sensitive areas involving human genetics and personalized medicine.This review aims to help researchers and practitioners in relevant fields understand the current state and opportunities of AI development,thus providing support for its broader application.

Objective:To investigate the acute gastrointestinal injury (AGI) in patients with extracorporeal membrane oxygenation (ECMO) at the early stage of operation and its influencing factors.Methods:A total of 70 patients with ECMO who were hospitalized in the Emergency Care Unit of Guangxi Zhuang Autonomous Region People's Hospital from September 2020 to December 2021 were retrospectively analyzed, and a total of 70 patients with ECMO who were hospitalized in the emergency care unit of Guangxi Zhuang Autonomous Region People's Hospital from September 2020 to December 2021 were retrospectively analyzed. According to the 2012 guidelines of the European Society of Intensive Care Medicine on the classification of acute gastrointestinal injury in critically ill patients, the patients were divided into AGI group and non-AGI group. The incidence of acute gastrointestinal injury in the early stage was statistically analyzed, and the results of blood gas analysis during ECMO loading and ECMO parameters, hemodynamic indexes and biochemical indexes after ECMO transfer were statistically analyzed. To explore the influencing factors and independent risk factors of AGI in the early stage. In addition, 70 patients were divided into successful group and non-successful group according to whether they were successfully withdrawn. The occurrence of acute gastrointestinal injury between the two groups was compared, and the effect of acute gastrointestinal injury on ECMO patients was analyzed.Results:Among the 70 ECMO patients, the incidence of early AGI was 71.43% (50 cases), and the components of AGI Ⅰ, Ⅱ, Ⅲ and Ⅳ were 18.57% (13 cases), 41.43% (29 cases), 11.43% (8 cases) and 0% (0 cases), respectively. ① Univariate analysis showed that systolic blood pressure, diastolic blood pressure, mean arterial pressure (MAP), vasoactive drug index (VIS), pH, lactic acid and BMI were significantly different between AGI group and non-AGI group when ECMO was used ( P < 0.05). Logistic binary regression analysis showed that BMI was an independent risk factor for early AGI in ECMO patients (ROC area 0.657, 95% confidence interval 0.522-0.791 ( P < 0.05), and Yoden index 0.15). (3) The AGI composition ratio of the unsuccessful group was higher than that of the unsuccessful group ( P < 0.05). Conclusions:Patients with ECMO have a high incidence of AGI in the early stage, mainly occurring in grade I and Ⅱ. Systolic blood pressure, diastolic blood pressure, MAP, VIS, pH, lactic acid and BMI when ECMO is put on are influential factors for the early development of AGI in ECMO patients, among which BMI is an independent risk factor for the early development of AGI in ECMO patients. The occurrence of AGI reduces the probability of successful withdrawal in ECMO patients.

OBJECTIVE: To explore the influences of andrographolide (Andro) on bladder cancer cell lines and a tumor xenograft mouse model bearing 5637 cells. METHODS: For in vitro experiments, T24 cells were stimulated with Andro (0-40 µmol/L) and 5637 cells were stimulated with Andro (0 to 80 µmol/L). Cell growth, migration, and infiltration were assessed using cell counting kit-8, colony formation, wound healing, and transwell assays. Apoptosis rate was examined using flow cytometry. In in vivo study, the antitumor effect of Andro (10 mg/kg) was evaluated by 5637 tumor-bearing mice, and levels of nuclear factor κ B (NF- κ B) and phosphoinositide 3-kinase/AKT related-proteins were determined by immunoblotting. RESULTS: Andro suppressed growth, migration, and infiltraion of bladder cancer cells (P⩽0.05 or P⩽0.01). Additionally, Andro induced intrinsic mitochondria-dependent apoptosis in bladder cancer cell lines. Furthermore, Andro inhibited bladder cancer growth in mice (P⩽0.01). The expression of p65, p-AKT were suppressed by Andro treatment in vitro and in vivo (P⩽0.05 or P⩽0.01). CONCLUSIONS Andrographolide inhibits proliferation and promotes apoptosis in bladder cancer cells by interfering with NF- κ B and PI3K/AKT signaling in vitro and in vivo.
Animals ; Apoptosis ; Cell Line, Tumor ; Cell Proliferation ; Diterpenes/therapeutic use* ; Humans ; Mice ; NF-kappa B/metabolism* ; Phosphatidylinositol 3-Kinases/metabolism* ; Proto-Oncogene Proteins c-akt/metabolism* ; Urinary Bladder Neoplasms/drug therapy*

Objective:To examine the correlations of C-reactive protein (CRP)/albumin ratio (CAR) with the postoperative complications of patients with colorectal cancer.Methods:The clinic data of 312 patients undergoing elective surgery for colorectal cancer in Hainan Hospital of People′s Liberation Army General Hospital between January 2013 and July 2018 was analyzed retrospectively. There were 188 males and 124 females, aged (61.0±12.9) years (range: 21 to 86 years). Logistic analysis was used to identify relative factors for postoperative complications. Receiver operating characteristic curves were developed to examine the cutoff values and compare diagnostic accuracy of the CAR and CRP levels.Results:Postoperative complications occured in 28.5% (89/312) cases. Hemoglobin on postoperative day(POD) 3 ( OR=0.977, 95% CI: 0.957 to 0.998, P=0.034), preoperative CRP ( OR=1.209, 95% CI: 1.055 to 1.386, P=0.006) and CAR on POD 3 ( OR=0.033, 95% CI: 0.016 to 0.067, P<0.01) were found to be significant independent relative factors for postoperative complications. The cutoff point of CAR on POD 3 was 0.325, patients with CAR≥0.325 were found to have more postoperative complications than those with CAR<0.325. The area under the curve of CAR on POD 3 and preoperative CRP were 0.872, 0.626, respectively. The positive predictive value of CAR on POD 3 was higher than that of preoperative CRP (79.9% vs. 55.1%). Conclusions:CAR is closely related to the occurrence of postoperative complications in colorectal surgery. Patients with CAR≥0.325 on POD 3 has higher incidence of postoperative complications.

Objective:To examine the correlations of C-reactive protein (CRP)/albumin ratio (CAR) with the postoperative complications of patients with colorectal cancer.Methods:The clinic data of 312 patients undergoing elective surgery for colorectal cancer in Hainan Hospital of People′s Liberation Army General Hospital between January 2013 and July 2018 was analyzed retrospectively. There were 188 males and 124 females, aged (61.0±12.9) years (range: 21 to 86 years). Logistic analysis was used to identify relative factors for postoperative complications. Receiver operating characteristic curves were developed to examine the cutoff values and compare diagnostic accuracy of the CAR and CRP levels.Results:Postoperative complications occured in 28.5% (89/312) cases. Hemoglobin on postoperative day(POD) 3 ( OR=0.977, 95% CI: 0.957 to 0.998, P=0.034), preoperative CRP ( OR=1.209, 95% CI: 1.055 to 1.386, P=0.006) and CAR on POD 3 ( OR=0.033, 95% CI: 0.016 to 0.067, P<0.01) were found to be significant independent relative factors for postoperative complications. The cutoff point of CAR on POD 3 was 0.325, patients with CAR≥0.325 were found to have more postoperative complications than those with CAR<0.325. The area under the curve of CAR on POD 3 and preoperative CRP were 0.872, 0.626, respectively. The positive predictive value of CAR on POD 3 was higher than that of preoperative CRP (79.9% vs. 55.1%). Conclusions:CAR is closely related to the occurrence of postoperative complications in colorectal surgery. Patients with CAR≥0.325 on POD 3 has higher incidence of postoperative complications.

Objective:To establish autoverification rules for coagulation tests in multicenter cooperative units, in order to reduce workload for manual review of suspected results and shorten turnaround time (TAT) of test reports, while ensure the accuracy of results.Methods:A total of 14 394 blood samples were collected from fourteen hospitals during December 2019 to March 2020. These samples included: Rules Establishment Group 11 230 cases, including 1 182 cases for Delta check rules; Rules Validation Group 3 164 cases, including 487cases for Delta check; Clinical Application Trial Group 77 269 cases. Samples were analyzed for coagulation tests using Sysmex CS series automatic coagulation analyzers, and the clinical information, instrument parameters, test results, clinical diagnosis, medication history of anticoagulant and other relative results such as HCT, TG, TBIL, DBIL were summarized; on the basis of historical data, the 2.5 and 97.5 percentile of all data arranged from low to high were initially accumulated; on the basis of clinical suggestions, critical values and specific drug use as well as relative guidelines, autoverification rules and limits were established.The rules were then input into middleware, in which Stage I/Stage II validation was done. Positive coincidence, negative coincidence, false negative, false positive, autoverification pass rate, passing accuracy (coincidence of autoverification and manual verification) were calculated. Autoverification rules underwent trial application in coagulation results reports.Results:(1) The autoverification algorisms involve 33 rules regarding PT/INR, APTT, FBG, D-dimer, FDP,Delta check, reaction curve and sample abnormalities; (2)Autoverification Establishment Group showed autoverification pass rate was 68.42% (7 684/11 230), the false negative rate was 0%(0/11230), coincidence of autoverification and manual verification was 98.51%(11 063/11 230), in which positive coincidence and negative coincidence were respectively 30.09% (3 379/11 230) and 68.42%(7 684/11 230); Autoverification Validation Group showed autoverification pass rate was 60.37%(1 910/3 164), the false negative rate was 0%(0/11 230), coincidence of autoverification and manual verification was 97.79%(3 094/3 164), in which positive coincidence and negative coincidence were respectively 37.42%(1 184/3 164) and 60.37%(1 910/3 164); (3) Trialed implementation of these autoverification rules on 77 269 coagulation samples showed that the average TAT shortened by 8.5 min-83.1 min.Conclusions:This study established 33 autoverification rules in coagulation tests. Validation showedthese rules could ensure test quality while shortening TAT and lighten manual workload.

Objective: To apply DNA barcoding to identifying the rodents in Zhejiang Province. Methods : Rodents were captured from Jiashan,Longyou,Yunhe and Ninghai counties in Zhejiang Province. The DNA was extracted from ears of rodent samples,and was amplified and sequenced with mitochondrial cytochrome C oxidase subunit I（COI）genes. The obtained sequences were compared with the related sequences in GenBank,and neighbour-joining evolutionary tree was constructed. Then the results by DNA barcoding and by morphological identification were compared. Results : A total of 22 COI gene samples were amplified. The evolutionary tree constructed by 18 samples was consistent with the morphological identification results and 4 samples were different：Suncus murinus should be Crocidura lasiura,infant rats of Rattus losea and Rattus tanezumi was re-identified as Rattus rattus,infant rats of Microtus fortis（sample number：NH-1）needs further identification. Conclusion DNA barcoding can effectively correct the errors of morphological identification,thus combining the two methods could improve the accuracy of rodent identification.