ObjectiveTo explore the therapeutic effect of Xuebijing injection （XBJ） on severe acute pancreatitis induced acute lung injury （SAP-ALI） by regulating formyl peptide receptors （FPRs）/nucleotide-binding oligomerization domain-like receptor 3 （NLRP3） inflammatory pathway. MethodsSixty rats were randomly divided into a sham group， a SAP-ALI model group， low-， medium-， and high-dose XBJ groups （4， 8， and 12 mL·kg^-1）， and a positive drug （BOC2， 0.2 mg·kg^-1） group. For the sham group， the pancreas of rats was only gently flipped after laparotomy， and then the abdomen was closed， while for the remaining five groups， SAP-ALI rat models were established by retrograde injection of 5% sodium taurocholate （Na-Tc） via the biliopancreatic duct. XBJ and BOC2 were administered via intraperitoneal injection once daily for 3 d prior to modeling and 0.5 h after modeling. Blood was collected from the abdominal aorta 6 h after the completion of modeling， and the expression of interleukin （IL）-1β， IL-6， and tumor necrosis factor-α （TNF-α） in plasma was measured by enzyme-linked immunosorbent assay （ELISA）. The amount of ascites was measured， and the dry-wet weight ratios of pancreatic and lung tissue were determined. Pancreatic and lung tissue was taken for hematoxylin-eosin （HE） staining to observe pathological changes and then scored. The protein expression levels of FPR1， FPR2， and NLRP3 in lung tissue were detected by the immunohistochemical method. Western blot was used to detect the expression of FPR1， FPR2， and NLRP3 in lung tissue. Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） was used to detect the mRNA expression of FPR1， FPR2， and NLRP3 in lung tissue. ResultsCompared with the sham group， the SAP-ALI model group showed significantly decreased dry-wet weight ratio of lung tissue （P<0.01）， serious pathological changes of lung tissue， a significantly increased pathological score （P<0.01）， and significantly increased protein and mRNA expression levels of FPR1， FPR2， and NLRP3 in lung tissue （P<0.01）. After BOC2 intervention， the above detection indicators were significantly reversed （P<0.01）. After treatment with XBJ， the groups of different XBJ doses achieved results consistent with BOC2 intervention. ConclusionXBJ can effectively improve the inflammatory response of the lungs in SAP-ALI rats and reduce damage. The mechanism may be related to inhibiting the expression of FPRs and NLRP3 in lung tissue， which thereby reduces IL-1β and simultaneously antagonize the release of inflammatory factors IL-6 and TNF-α.

BACKGROUND:This study provided insight into the molecular mechanisms by which exogenous basic fibroblast growth factor(bFGF)promotes wound healing. OBJECTIVE:To investigate the effect of exogenous bFGF on macrophage phenotype transition and granulation regeneration during wound repair in rats. METHODS:(1)In vitro experiment:Cells were divided into normal control group,low-dose bFGF group,high-dose bFGF group,and bFGF+valproic acid group.100 and 200 μg/L bFGF was added into the cell culture medium of low-dose bFGF group and high-dose bFGF group,respectively,while 200 μg/L bFGF and 20 mmol/L valproic acid were added into the cell culture medium of valproic acid group.EdU test,scratch test and tubule formation test were used to detect the effects of bFGF on proliferation,migration and angiogenesis of human umbilical vein endothelial cells.(2)In vivo experiment:Sprague-Dawley rats were randomly divided into model group,low-dose bFGF group,high-dose bFGF group and bFGF+valproic acid group.The open wound model of full-thickness skin defect was established in low-dose bFGF group,high-dose bFGF group and bFGF+valproic acid group.Rats in the low-and high-dose bFGF groups were given 100 and 200 μg/L bFGF through subcutaneous injection,while those in the bFGF+valproic acid group received subcutaneous injection of 200 μg/L bFGF and intraperitoneal injection of 10 mg/kg valproic acid.The wound healing rate of rats was detected at 7 and 14 days of administration.TUNEL was used to detect the apoptosis of cells in wound tissue.Enzyme linked immunosorbent assay was used to detect the serum levels of malondialdehyde,superoxide dismutase,tumor necrosis factor-α and interleukin-10.Immunofluorescence detection was conducted to detect the phenotypic transformation of macrophages in wound tissue.Immunohistochemistry was used to detect the expression of proliferating cell nuclear antigen,platelet endothelial cell adhesion molecule-1(CD31)and vascular endothelial growth factor in wound tissue.Western blot was used to detect the expression of Notch1 and Jagged1 in wound tissue. RESULTS AND CONCLUSION:(1)Compared with the normal control group,bFGF could significantly promote the proliferation,migration and angiogenesis of human umbilical vein endothelial cells in a dose-dependent manner.(2)Compared with the model group,bFGF could significantly promote wound healing,downregulate the rate of apoptosis in wound tissue,decrease the levels of malondialdehyde and tumor necrosis factor-α in serum,increase the levels of superoxide dismutase and interleukin-10,promote the conversion of macrophages to type M2 in wound tissue,upregulate the expression of proliferating cell nuclear antigen,CD31 and vascular endothelial growth factor in wound tissue,and inhibit the expression of Notch1 and Jagged1 in a dose-dependent manner.Valproic acid could partially reverse the promoting effect of bFGF on wound healing.To conclude,bFGF can significantly promote wound healing and granulation regeneration and induce the conversion of macrophages to M2,which may be related to the regulation of Notch1/Jagged1 signaling pathway.

ObjectiveTo investigate the role and mechanism of Go-Ichi-Ni-San complex subunit 1 （GINS1） in the progression of hepatocellular carcinoma （HCC） and the development of chemotherapy resistance. MethodsThe tumor database GEPIA2 was used to analyze the differential expression of GINS1 between HCC patients and healthy individuals， and pathological tissue samples were collected from 40 HCC patients who were admitted to The Affiliated Tumor Hospital of Xinjiang Medical University and the First Affiliated Hospital of Xinjiang Medical University from May 2017 to January 2021. Immunohistochemical staining was used to measure the difference in the expression of GINS1 between HCC tissue and corresponding adjacent tissue， and the correlation between the expression level of GINS1 and the clinical TNM stage of HCC was analyzed. Western blot was also used to measure the difference in the expression of GINS1 between HCC Huh7/Hep3B/Li-7/MHCC97H cell lines and normal human QSG7701 hepatocytes. The method of lentivirus transfection was used to establish the MHCC97H cell line with stable GINS1 knockdown and its negative control cell line. CCK-8 assay and colony formation assay were used to measure cell proliferative capacity； scratch assay was used to measure cell migration ability； Transwell assay was used to measure cell invasion ability； cells were treated with oxaliplatin to measure their sensitivity to chemotherapy drugs. Nude mice were used to establish a tumor-bearing model and observe the effect of GINS1 knockdown on the growth of HCC in vivo. Western Blot was used to measure the expression levels of the proteins associated with the Notch pathway and the JAK/STAT pathway. The cells were treated with the Notch receptor agonist Jagged-1 to analyze the association between GINS1 and the Notch/JAK/STAT pathway. The independent-samples t test was used for comparison of continuous data between two groups； a one-way analysis of variance was used for comparison between multiple groups， and the least significant difference t-test was used for further comparison between two groups. ResultsThe expression of GINS1 was upregulated in HCC patients， HCC tissue， and HCC cell lines （all P<0.05）， and the expression level of GINS1 was positively correlated with the clinical TNM stage of HCC （r=0.822， P=0.011）. Compared with the negative control cells， the GINS1-knockdown MHCC97H cells showed significant reductions in proliferation， migration， and invasion activities （all P<0.01） and a significantly enhanced sensitivity to oxaliplatin （P<0.01）. Compared with the nude mice in the control group， GINS1 knockdown caused significant inhibition of tumor weight and volume in vivo in nude mice （all P<0.001）. Compared with the negative control cells， the GINS1-knockdown MHCC97H cells showed significant reductions in the expression levels of Notch1， Notch3， p-JAK2， and p-STAT3 （all P<0.05）， while there were no significant differences in the overall expression levels of JAK2 and STAT3 （P>0.05）. After Jagged-1 treatment， the GINS1-knockdown MHCC97H cells showed significant increases in proliferation， migration， and invasion activities and a significant reduction in sensitivity to oxaliplatin， as well as significant increases in the levels of p-JAK2 and p-STAT3 （all P<0.05）. ConclusionGINS1 is upregulated in HCC and can promote HCC progression and chemotherapy resistance through the Notch/JAK2/STAT3 pathway.

Objective To investigate the suitable habitats of Phlebotomus chinensis in Gansu Province, so as provide insights into effective management of mountain-type zoonotic visceral leishmaniasis (MT-ZVL). Methods The geographical coordinates of locations where MT-ZVL cases were reported were retrieved in Gansu Province from 2015 to 2023, and data pertaining to 26 environmental variables were captured, including 19 climatic variables (annual mean temperature, mean diurnal range, isothermality, temperature seasonality, maximum temperature of the warmest month, minimum temperature of the coldest month, temperature annual range, mean temperature of the wettest quarter, mean temperature of the driest quarter, mean temperature of the warmest quarter, mean temperature of the coldest quarter, annual precipitation, precipitation of the wettest month, precipitation of the driest month, precipitation seasonality, precipitation of the wettest quarter, precipitation of the driest quarter, precipitation of the warmest quarter, and precipitation of the coldest quarter), five geographical variables (elevation, annual normalized difference vegetation index, vegetation type, landform type and land use type), and two population and economic variables (population distribution and gross domestic product). Twelve species distribution models were built using the biomod2 package in R project, including surface range envelope (SRE) model, generalized linear model (GLM), generalized additive model (GAM), multivariate adaptive regression splines (MARS) model, generalized boosted model (GBM), classification tree analysis (CTA) model, flexible discriminant analysis (FDA) model, maximum entropy (MaxEnt) model, optimized maximum entropy (MAXNET) model, artificial neural network (ANN) model, random forest (RF) model, and extreme gradient boosting (XGBOOST) model. The performance of 12 models was evaluated using the area under the receiver operating characteristic curve (AUC), true skill statistics (TSS), and Kappa coefficient, and single models with high performance was selected to build the optimal ensemble models. Factors affecting the survival of Ph. chinensis were identified based on climatic, geographical, population and economic variables. In addition, the suitable distribution areas of Ph. chinensis were predicted in Gansu Province under shared socioeconomic pathway 126 (SSP126), SSP370 and SSP585 scenarios based on climatic data during the period from 1991 to 2020, from 2041 to 2060 (2050s), and from 2081 to 2100 (2090s) . Results A total of 11 species distribution models were successfully built for prediction of potential distribution areas of Ph. chinensis in Gansu Province, and the RF model had the highest predictive accuracy (AUC = 0.998). The ensemble model built based on the RF model, XGBOOST model, GLM, and MARS model had an increased predictive accuracy (AUC = 0.999) relative to single models. Among the 26 environmental factors, precipitation of the wettest quarter (12.00%), maximum temperature of the warmest month (11.58%), and annual normalized difference vegetation index (11.29%) had the greatest contributions to suitable habitats distribution of Ph. sinensis. Under the climatic conditions from 1991 to 2020, the potential suitable habitat area for Ph. chinensis in Gansu Province was approximately 5.80 × 10⁴ km², of which the highly suitable area was 1.42 × 10⁴ km², and primarily concentrated in the southernmost region of Gansu Province. By the 2050s, the unsuitable and lowly suitable areas for Ph. chinensis in Gansu Province had decreased by varying degrees compared to that of 1991 to 2020 period, while the moderately and highly suitable areas exhibited expansion and migration. By the 2090s, under the SSP126 scenario, the suitable habitat area for Ph. chinensis increased significantly, and under the SSP585 scenario, the highly suitable areas transformed into extremely suitable areas, also showing substantial growth. Future global warming is conducive to the survival and reproduction of Ph. chinensis. From the 2050s to the 2090s, the highly suitable areas for Ph. chinensis in Gansu Province will be projected to expand northward. Under the SSP126 scenario, the suitable habitat area for Ph. chinensis in Gansu Province is expected to increase by 194.75% and 204.79% in the 2050s and 2090s, respectively, compared to that of the 1991 to 2020 period. Under the SSP370 scenario, the moderately and highly suitable areas will be projected to increase by 164.40% and 209.03% in the 2050s and 2090s, respectively, while under the SSP585 scenario, they are expected to increase by 195.98% and 211.66%, respectively. Conclusions The distribution of potential suitable habitats of Ph. sinensis gradually shifts with climatic changes. Intensified surveillance and management of Ph. sinensis is recommended in central and eastern parts of Gansu Province to support early warning of MT-ZVL.

Objective: To establish a "regular blood donor red blood cell gene database"(hereafter referred to as the "database") by applying molecular biology techniques for red blood cell antigens genotyping and utilizing information technology software, and to determine the significance and application value of this "database" in precise red blood cell transfusion. Methods: Fifteen antigens [C, c, E, e, M, N, S, s, Fy (a), Fy (b), Jk (a), Jk (b), Le (a), Le (b), P1] across six blood group systems (RHCE, MNS, FY, JK, Lewis and P1PK) were detected among 9 426 regular blood donors using the TaqMan-MGB method combined with an improved U-shaped microplate approach. With the assistance of information technology software, the "database" was integrated into the overall inventory management system of the blood supply chain. This enabled comprehensive management of regular blood donor and patient information, test results, specific antigen screening for regular blood donors, graded antigen matching between donors and patients, and rare blood type donor records. Results: The TaqMan-MGB method successfully detected paired antigens (C/c, E/e, M/N, S/s, Fy /Fy , Jk /Jk ) within a single reaction well using a standardized PCR amplification protocol. This method provided a reliable testing solution for clinical institutions and empowered blood collection and supply organizations with high-throughput screening capabilities. In the blood supply chain, genotyped red blood cells accounted for 13.2% (721/5 462 U) of the total inventory, with 95.34% (348/365) originating from donors who donated two units of blood. Moreover, the “database” fulfilled 94.06% (443/471 U) of compatible transfusion requirements from medical institutions and effectively managed rare blood type donors. Conclusion: The establishment of the "database" facilitated the transition of blood compatibility testing from traditional serological methods to molecular biology-based gold standard techniques, significantly advancing the implementation of precise transfusion strategies based on multi-antigen matching between donors and patients.

As the search for effective treatments for COVID-19 continues, the high mortality rate among critically ill patients in Intensive Care Units (ICU) presents a profound challenge. This study explores the potential benefits of traditional Chinese medicine (TCM) as a supplementary treatment for severe COVID-19. A total of 110 critically ill COVID-19 patients at the Intensive Care Unit (ICU) of Vulcan Hill Hospital between Feb., 2020, and April, 2020 (Wuhan, China) participated in this observational study. All patients received standard supportive care protocols, with a subset of 81 also receiving TCM as an adjunct treatment. Clinical characteristics during the treatment period and the clinical outcome of each patient were closely monitored and analysed. Our findings indicated that the TCM group exhibited a significantly lower mortality rate compared with the non-TCM group (16 of 81 vs 24 of 29; 0.3 vs 2.3 person/month). In the adjusted Cox proportional hazards models, TCM treatment was associated with improved survival odds (P < 0.001). Furthermore, the analysis also revealed that TCM treatment could partially mitigate inflammatory responses, as evidenced by the reduced levels of proinflammatory cytokines, and contribute to the recovery of multiple organic functions, thereby potentially increasing the survival rate of critically ill COVID-19 patients.
Humans ; COVID-19 ; Medicine, Chinese Traditional ; SARS-CoV-2 ; Critical Illness ; Treatment Outcome

Objective:To develop an efficient and robust method based on three dimensional facial landmarks for evaluating chin region asymmetry at the soft tissue level and to compare it with the tradi-tional mirror-overlap analysis method in order to test its availability.Methods:Standard symmetrical face was used for mental tubercle coordinate transformation so as to filter soft tissue three dimensional spatial angle and construct corresponding three dimensional spatial angle wireframe template.Ten patients aged 12-32 years with clinical chin region asymmetry diagnosis at the Department of Orthodontics of Peking University Hospital of Stomatology from November 2020 to November 2021 were randomly selected.Three dimensional soft tissue face scan data of the patients were collected by three dimensional face scanner and the landmark points were automatically determined by the Meshmonk non-rigid registration algorithm pro-gram,and in this way,the asymmetric three dimensional spatial angle wireframe template and corre-sponding spatial angle parameters were generated.Mirror-overlap analysis of face scan data was also per-formed in Geomagic Studio 2015 software and deviation color maps were generated.This study took mirror-overlap analysis as the gold standard method,the response rate of chin region asymmetry was eva-luated by the outcomes of the mirror-overlap analysis and three dimensional spatial angle wireframe tem-plate analysis.Results:Nine three dimensional spatial angle indicators were selected through coordinate transformation,and the response rate was calculated using mirror-overlap analysis as the gold standard method.Among these ten selected patients,the response rate of the total chin region asymmetry was 90％(9/10).Using the deviation value of mirror-overlap analysis as a reference,the response rate of chin region asymmetry in the X dimension was 86％,the response rate of chin region asymmetry in the Y dimension was 89％,and the response rate of chin region asymmetry in the Z dimension was 100％.Conclusion:The three dimensional soft tissue spatial angle wireframe template proposed in this study has some feasibility in evaluating chin region asymmetry at the soft tissue level,and its ability to recognize asymmetry separately in the three dimensional direction is better than the mirror-overlap analysis method,and the indicators recognition rate still needs to be further improved.

Objective To explore the risk factors of complicating urogenic sepsis after percutaneous nephrolithotripsy(PCNL)and construct a nomogram prediction model.Methods The data of 291 patients with stage 1 PCNL in 940 Hospital of Joint Logistics Support Force from October 2016 to October 2021 were retrospectively analyzed.The patients were divided into the sepsis group and non-sepsis group according to whether complicating urogenic sepsis after operation.The general data,stone-related data,operation-related data and laboratory detection related data were included.The independent risk factors were screened by the univariate and multivariate logistic regression analysis,and the nomogram prediction model was constructed.Results The results of univariate and multivariate logistic regression analysis showed that age≥60 years old(OR=6.438,95％CI:1.548-26.769),urinary leukocyte 3+(OR=5.651,95％CI:1.614-31.766),urinary nitrite positive(OR=7.117,95％CI:1.190-42.561),operation time≥90 min(OR=4.626,95％CI:1.137-18.817)and perfusion volume 30 L(OR=3.312,95％CI:1.090-10.061)were the independent risk factors of postoperative complicating urogenic sepsis.C-index of the constructed nomogram prediction model in the modeling samples was 0.937,the calibrated C-index was 0.914,and the model predictive efficien-cy was good.Conclusion Age ≥60 years old,urinary leukocyte 3+,urinary nitrite positive,operation time 90 min and perfusion volume ≥30 L are the independent risk factors for complicating urogenic sepsis after PCNL;the constructed nomogram prediction model has a good predictive efficiency for the occurrence of post-operative urogenic sepsis.

BACKGROUND:With a gradually aging population,improving the ability to screen for the risk of death after arthroplasty and implementing timely personalized intervention programs for the increasing number of elderly patients with femoral neck fractures is key to improving the postoperative status of patients and prolonging survival expectations. OBJECTIVE:To investigate the risk factors for postoperative mortality in elderly patients with femoral neck fractures and to construct a nomogram predictive model to predict their mortality risk. METHODS:The study was conducted on 155 elderly patients(≥65 years old)who underwent arthroplasty for femoral neck fracture from January 2016 to January 2021,and 147 patients who met the inclusion criteria were analyzed to collect clinical data that may affect the patients'postoperative mortality.Single-factor and multi-factor Cox regression analyses were successively used to screen independent risk factors associated with postoperative mortality.The column line graph model was constructed and validated using Rstudio software. RESULTS AND CONCLUSION:(1)Age,frailty(age-adjusted Charlson comorbidities score),preoperative activity status,osteoporosis,and postoperative serum albumin level were five independent risk factors for postoperative mortality in elderly patients with femoral neck fractures(P<0.05).(2)The nomogram predictive model was constructed based on the results of multifactorial analysis,with a consistency index of 0.819(95%CI:0.771-0.868).Receiver operating characteristic curve analysis showed that the area under curve for 1-year and 3-year survival prediction was 0.8543 and 0.7263,respectively,indicating that the nomogram predictive model has good discriminatory and predictive power;calibration curve and decision curve analysis also showed good model discriminative power and clinical utility value.(3)The constructed nomogram predictive model has good diagnostic efficacy and accuracy,and can effectively assess the risk of postoperative death of patients.

BACKGROUND:Patients with femoral intertrochanteric fracture may have nutritional risks during proximal femoral nail anti-rotation surgery,and a clinical predictive model is established based on nutritional assessment tools. OBJECTIVE:To establish the nomogram of the nutritional risk prediction model for patients with intertrochanteric fracture after proximal femoral nail anti-rotation fixation and evaluate the accuracy of the model. METHODS:From December 2018 to July 2022,patients with femoral intertrochanteric fractures who underwent proximal femoral nail anti-rotation fixation in First Department of Orthopedics,Second Affiliated Hospital of Baotou Medical College were selected as the study subjects.The nutritional risk status of patients was assessed using nutritional risk screening 2002.Logistic regression was used to build the model.The receiver operating characteristic curve,Calibration plot calibration curve,and Hosmer-Lemeshow goodness-of-fit test were used to evaluate the discrimination,calibration and clinical applicability of the prediction model.The model was visualized using Nomogram diagrams. RESULTS AND CONCLUSION:(1)Seventy-six patients were included according to the inclusion criteria.The incidence of nutritional risk was 80%after being assessed using nutritional risk screening 2002.(2)The results of Logistic regression analysis demonstrated that age≥77 years old,body mass index<22.80 kg/m2,upper arm circumference<25.01 cm,hemoglobin<98.51 g/L,albumin<31.61 g/L,and prealbumin<138.56 g/L were all independent risk factors for nutritional risk(P<0.05).(3)The area under the receiver operating characteristic curve was 0.919(95%CI:0.843-0.994).(4)The results of the Hosmer-Lemeshow goodness-of-fit test displayed that nutritional risk prediction value was high.(5)It is concluded that the nutritional risk assessment model constructed in this study has a good degree of discrimination and calibration,and has a certain predictive ability,which can be used as a reference tool for nutritional risk assessment of patients after proximal femoral nail anti-rotation fixation.