Lung transplantation is the optimal treatment for end-stage lung diseases and can significantly improve prognosis of the patients. However, postoperative complications such as infection, rejection, ischemia-reperfusion injury, and other challenges (like shortage of donor lungs) , limit the practical application of lung transplantation in clinical practice. Chinese research teams have been making continuous efforts and have achieved breakthroughs in basic research on lung transplantation by integrating emerging technologies and cutting-edge achievements from interdisciplinary fields, which has strongly propelled the development of this field. This article will comprehensively review the academic progress made by Chinese research teams in the field of lung transplantation in 2024, with a focus on the achievements of Chinese teams in basic research on lung transplantation. It aims to provide innovative ideas and strategies for key issues in the basic field of lung transplantation and to help China's lung transplantation cause reach a higher level.

Objective To explore the potential circular RNA(circRNA)biomarker of Uygur type 2 diabetes mellitus(T2DM).Methods A total of 120 T2DM patients and 120 subjects with normal glucose tolerance were recruited from the Department of Endocrinology and Metabolism of the First Affiliated Hospital of Shihezi University and Shihezi community from October 2020 to August 2021,and divided into four groups:60 Uygur T2DM patients(Uygur T2DM group),60 Uygur subjects with normal glucose tolerance(Uygur NC group),60 Han T2DM patients(Han T2DM group)and 60 Han subjects with normal glucose tolerance(Han NC group).Hsa_circRNA_0042817,hsa_circRNA_0006532 and hsa_circRNA_0004131 were selected as candidate circRNA,and the expression in peripheral blood were detected by RT-qPCR.Logistic regression was used to analyze the influencing factors for Uygur T2DM,and the receiver operating characteristic(ROC)curve was used to evaluate the biomarker value of circRNA in Uygur T2DM.Results The expressions of hsa_circRNA_0042817,hsa_circRNA_0006532 and hsa_circRNA_0004131 were higher in Uygur T2DM group than in Uygur NC group(P<0.05).The expression of hsa_circRNA_0042817 was higher in Uygur T2DM group than in Han T2DM group(P<0.05).Logistic regression analysis showed that hsa_circRNA_0042817 was an influencing factor for T2DM in Uygur population[OR(95%CI)3.420(1.567～7.465)].ROC curve analysis showed that the area under the curve was the largest(0.798)in hsa_circRNA_0042817.Conclusion There were up-regulated circRNA in peripheral blood in Uygur T2DM patients,and hsa_circRNA_0042817 may be a biomarker for T2DM in Uygur patients.

Objective To establish a model of combined injury of thermal radiation and blast wave of gas explosion in closed pipeline,and investigate the characteristics of important organ injury induced by burn-blast combined injury in rats.Methods A total of 72 male SD rats(aged 8～10 weeks,weighing 200～10 g)were randomly divided into control group and mild and severe injured groups.After the model rats were inflicted with blast wave and thermal radiation,their physical parameters were detected and measured.The respiratory function of the survival rats was tested.In 24 h later,arterial blood gas analysis,blood biochemical tests,and detection for serum inflammatory factors and lung injury related protein levels were performed,and the pathological changes in the lung tissue and trachea were observed.Results The peak range of explosive blast wave overpressure was 209～493 kPa,and the temperature was 152～258 ℃.The mortality rate was 8.3％in the mild group and 53.1％in the severe group.Compared with the control group,longer inspiratory time(Ti)and relaxation time(Tr)and larger tidal volume(TV)(P＜0.05),while lower respiratory frequency(f)were observed in the 2 injured groups within 6 h after injury(P＜0.05).At 24 h after injury,the values of partial pressure of carbon dioxide(PaCO2),residual base value(BE)and bicarbonate(HCO3-)were increased significantly(P＜0.05),while partial pressure of oxygen(PaO2)was decreased(P＜0.05).The serum levels of alanine transaminase(ALT),aspartate aminotransferase(AST),alkaline phosphatase(ALP),total bilirubin(TBI)and total bile acid(TBA)were notably elevated(P＜0.05).So were the levels of IL-1 β,TNF-α and IL-6(P＜0.01).Various severities of hyperemia foci and inflammation in the tracheal mucosa were observed in the injured rats.The incidence of lung injury was high,and the pathological manifestations were dot-shaped hemorrhage to diffuse hemorrhage of the whole lobe,rupture of alveolar septum,thickening of septum,and infiltration of red blood cells and inflammatory cells.The levels of serum lung injury-related proteins were significantly increased(P＜0.05).Conclusion A rat model which can highly simulate mild to severe burn-blast combined injury is constructed,which can meet the needs for rat model in study of explosive burn-blast compound injury.The main characteristics of the injury are lung injury,respiratory dysfunction,liver damage and secondary infection.

Gastric cancer is one of the major causes of cancer-related deaths worldwide, and infection with Helicobacter pylori and EBV, smoking and a salt-heavy diet have been shown to be risk factors for the development of gastric cancer. Currently, numerous research has demonstrated that differences in the structure of the gastric flora can be exploited to distinguish the different stages of gastric mucosal lesions and to predict the progression of gastric cancer. Therefore, a new biomarker is presented for the diagnosis of gastric cancer based on the structural differences of the gastric flora. Gastric flora has also potential in the treatment of gastric cancer. The application of non-H. pylori flora to modulate immune cells may increase the sensitivity of tumour cells for chemotherapy, improve the efficacy of immune checkpoint inhibitors and significantly prolong the survival of patients. This review of advances in the application of gastric flora in the diagnosis and treatment of gastric cancer is aimed at providing a reference and basis for future research in this field.

Gastric cancer is one of the major causes of cancer-related deaths worldwide, and infection with Helicobacter pylori and EBV, smoking and a salt-heavy diet have been shown to be risk factors for the development of gastric cancer. Currently, numerous research has demonstrated that differences in the structure of the gastric flora can be exploited to distinguish the different stages of gastric mucosal lesions and to predict the progression of gastric cancer. Therefore, a new biomarker is presented for the diagnosis of gastric cancer based on the structural differences of the gastric flora. Gastric flora has also potential in the treatment of gastric cancer. The application of non-H. pylori flora to modulate immune cells may increase the sensitivity of tumour cells for chemotherapy, improve the efficacy of immune checkpoint inhibitors and significantly prolong the survival of patients. This review of advances in the application of gastric flora in the diagnosis and treatment of gastric cancer is aimed at providing a reference and basis for future research in this field.

Objective:To comprehensively and systematically collect and review domestic and international studies on the practices of continuous bladder irrigation (CBI) following transurethral resection of the prostate (TURP), including the topics, research methods, and evaluation techniques used in these studies, and to provide clinical nursing staff with a reference.Methods:Nine Chinese and English databases were systematically searched, including CNKI, Wanfang, SinoMed, VIP, Embase, Cochrane Library, PubMed, CINAHL, and Web of Science. The search covered all literature up to April 10, 2023. The practices of CBI were extracted and systematically analyzed, and the results were reported in a standardized manner using a scoping review methodology.Results:A total of 23 eligible studies were included, comprising two English articles and 21 Chinese articles. The types of studies included 12 randomized controlled trials and 11 quasi-experimental studies. The interventions were categorized into single and comprehensive measures, including methods such as adjusting the temperature and flow rate of bladder irrigation, selection of indwelling catheters, traditional Chinese medicine-based nursing, perioperative psychological care, and rapid recovery protocols. The evaluation metrics used in the studies were classified into three levels: symptom indicators, process indicators, and management indicators.Conclusions:Research on CBI following TURP has achieved a certain scale, with a variety of intervention methods currently available. However, there is still a lack of high-quality evidence. Future studies should focus on enhancing research design, developing standardized quality assessment tools for bladder irrigation, and improving innovative irrigation devices to enhance clinical nursing quality.

Objective To investigate the risk factors of infection after hepatectomy for liver cancer, and to establish and validate a risk prediction model. Methods The clinical data of 167 patients with primary liver cancer who underwent hepatectomy in People's Hospital of Wuhan University from January 2020 to March 2022 were retrospectively collected. All patients were divided into postoperative infection group ( n =28) and non-infection group ( n =139) according to whether postoperative infection complications occurred. The t -test or Mann-Whitney U test was used for comparison of continuous data between two groups and the chi-square test was used for comparison of categorical data between two groups. Univariate analysis and logistic regression analysis were used to screen the risk factors of infection after hepatectomy for hepatocellular carcinoma, and a nomogram risk prediction model for postoperative infection was established. All patients were randomly divided into training cohort ( n =119) and the validation cohort ( n =48) according to the ratio of 7∶ 3, the Bootstrap method was used for internal validation of the model, and the model calibration curve and ROC curve were used to evaluate the calibration and discrimination of the nomogram model. Results Postoperative infection occurred in 28 of 167 patients (16.8%). Logistic regression analysis showed that diabetes, CONUT score ≥4 points, preoperative NLR, operation time, intraoperative blood loss, and drainage tube placement time > 7 d were independent risk factors for infection after hepatectomy for liver cancer (all P < 0.05). Based on the nomogram constructed from the above six risk factors, the area under the ROC curve of the training cohort and the validation cohort was 0.848, and 0.853, respectively. The calibration curve of the nomogram model shows that the predicted value is basically consistent with the actual observed value, indicating that the accuracy of the nomogram model prediction is better. Conclusion The individualized nomogram risk prediction model based on diabetes, CONUT score ≥4 points, preoperative NLR, operation time, intraoperative blood loss, and drainage tube placement time > 7 d has good predictive performance and has high predictive value for high-risk patients.

Objective To analyze the serological markers and surgical indicators associated with biliary complications after orthotopic liver transplantation, explore their influencing factors and predictive indicators. Methods A retrospective analysis was performed for the clinical data of 101 patients who underwent orthotopic liver transplantation in Renmin Hospital of Wuhan University from January 2016 to June 2022, according to the presence or absence of biliary complication (BC) at 6 months after surgery, they were divided into BC group with 21 patients and non-BC group with 80 patients.The t -test or the Mann-Whitney U test was used for comparison of continuous data between groups, and the chi-square test was used for comparison of categorical data between groups.Univariate and multivariate Logistic regression analyses were performed, and the receiver operating characteristic (ROC) curve was used to evaluate the predictive performance of combined indicators. Results Among the 101 patients, 21(20.8%) experienced BC.The multivariate Logistic regression analysis showed that MELD score (odds ratio[ OR ]=0.134, 95% confidence interval[ CI ]: 0.031-0.590, P =0.008), SⅡ/Alb ( OR =1.415, 95% CI : 1.181-1.696, P =0.001), and plasma transfusion volume ( OR =1.001, 95% CI : 1.000-1.002, P =0.032) were independent risk factors for the development of BC in patients after liver transplantation.MELD score, SⅡ/Alb, plasma transfusion volume, MELD+SⅡ/Alb, and MELD+SⅡ/Alb+plasma transfusion volume had an area under the ROC curve of 0.712, 0.870, 0.712, 0.900, and 0.918, respectively, in predicting BC after liver transplantation. Conclusion SⅡ/Alb, plasma transfusion volume and MELD score are independent risk fators for BC after liver transplantation.The combination of three indicators has good predictive value and clinical guiding significance for BC after liver transplantation.

Objective:To investigate the relationship between the expression level of circular RNA_0005414 and islet cell function in type 2 diabetes patients.Methods:A total of 110 patients with type 2 diabetes and 106 cases of normal glucose tolerance (control group) in Uygur populations, 64 cases of type 2 diabetes mellitus and 63 cases of normal glucose tolerance (control group) in Han populations were enrolled in the study. All subjects underwent oral glucose tolerance test chemistry panel. Homeostasis model assessment for insulin resistance (HOMA-IR) and β cell function (HOMA-β) were evaluated by homeostasis model as islet cell function indexes. The differentially expressed circular RNAs were screened using RNA sequencing from the peripheral blood monocytes of 5 Uygur patients with type 2 diabetes mellitus and matched controls. The expression level of a significantly up-regulated circular RNA_0005414 was detected and verified, and the relationship between the expression level of circular RNA_0005414 and islet cell function was analyzed.Results:Differential expression profiles of circular RNAs were found in Uygur type 2 diabetic patients . The expression level of circular RNA_0005414 in Uygur type 2 diabetic group was higher than that in Uygur control group ( P<0.01), the expression level of circular RNA_0005414 in Han type 2 diabetic group was higher than that in Han control group ( P<0.01), the expression level of circular RNA_0005414 in Uygur type 2 diabetes group was higher than that in Han type 2 diabetes group, but the difference was not statistically significant ( P>0.05). In the Uyghur and Han groups, Spearman correlation analysis showed that the expression level of circular RNA_0005414 was positively correlated with fasting blood glucose, 2 h plasma glucose after glucose loading, HbA 1C, total cholesterol, fasting insulin, HOMA-IR ( P<0.05) and negatively correlated with HOMA-β ( P<0.01). Partial correlation analysis showed that circular RNA_0005414 expression level was positively correlated with fasting blood glucose, HbA 1C, and HOMA-IR ( P<0.01). Multivariate linear regression analysis showed that circular RNA_0005414 was the only factor affecting HOMA-β in Uygur patients with type 2 diabetes. Conclusion:The expression level of circular RNA_0005414 was closely related to islet cell function in Uygur type 2 diabetes patients, the up-regulation of circular RNA_0005414 may be involved in the occurrence and development of type 2 diabetes in Uygur.

Early distinction of bipolar disorder (BD) from major depressive disorder (MDD) is difficult since no tools are available to estimate the risk of BD. In this study, we aimed to develop and validate a model of oxidative stress injury for predicting BD. Data were collected from 1252 BD and 1359 MDD patients, including 64 MDD patients identified as converting to BD from 2009 through 2018. 30 variables from a randomly-selected subsample of 1827 (70%) patients were used to develop the model, including age, sex, oxidative stress markers (uric acid, bilirubin, albumin, and prealbumin), sex hormones, cytokines, thyroid and liver function, and glycolipid metabolism. Univariate analyses and the Least Absolute Shrinkage and Selection Operator were applied for data dimension reduction and variable selection. Multivariable logistic regression was used to construct a model for predicting bipolar disorder by oxidative stress biomarkers (BIOS) on a nomogram. Internal validation was assessed in the remaining 784 patients (30%), and independent external validation was done with data from 3797 matched patients from five other hospitals in China. 10 predictors, mainly oxidative stress markers, were shown on the nomogram. The BIOS model showed good discrimination in the training sample, with an AUC of 75.1% (95% CI: 72.9%-77.3%), sensitivity of 0.66, and specificity of 0.73. The discrimination was good both in internal validation (AUC 72.1%, 68.6%-75.6%) and external validation (AUC 65.7%, 63.9%-67.5%). In this study, we developed a nomogram centered on oxidative stress injury, which could help in the individualized prediction of BD. For better real-world practice, a set of measurements, especially on oxidative stress markers, should be emphasized using big data in psychiatry.
Biomarkers/metabolism* ; Bipolar Disorder/metabolism* ; Depressive Disorder, Major/diagnosis* ; Early Diagnosis ; Humans ; Oxidative Stress