Lung cancer is the malignant tumor with the highest incidence and mortality rates globally. Current treatment methods for lung cancer primarily include surgery， chemotherapy， targeted therapy， and immunotherapy. However， the main limitations of these treatments are their side effects， the drug resistance， and the economic burden they impose. As a critical cancer pathway， the Janus kinase （JAK）/signal transducer and activator of transcription （STAT） signaling pathway regulates tumor occurrence and development through multiple mechanisms by influencing various downstream targets. Consequently， the JAK/STAT signaling pathway offers a promising avenue for lung cancer treatment research. Numerous studies have demonstrated that the JAK/STAT signaling pathway plays a key role in the proliferation and growth of lung cancer cells， angiogenesis， epithelial-mesenchymal transition （EMT）， metabolic alterations， remodeling of the immune microenvironment， and the development of treatment resistance. Traditional Chinese medicine （TCM） has garnered increasing attention due to its minimal side effects， low economic burden， and its potential to enhance efficacy and reduce toxicity when used in conjunction with Western medicine. In addition to traditional Chinese medicine compounds， a growing number of Chinese medicine monomers have come into the spotlight because of their more targeted effects. Numerous studies investigating the regulation of the JAK/STAT signaling pathway by TCM in the treatment of lung cancer have demonstrated that TCM can inhibit the proliferation and invasion of lung cancer cells， tumor angiogenesis， and EMT， improve the inflammatory and immunosuppressive microenvironments， and enhance treatment sensitivity by intervening in the JAK/STAT signaling pathway， thereby impeding the progression of lung cancer. In recent years， the research on the regulation of this pathway by TCM in the treatment of lung cancer has been updated rapidly. However， the summary of these studies has not been updated in time. This review summarizes and reflects on the recent research findings regarding the regulation of the JAK/STAT signaling pathway by TCM to intervene in lung cancer from three aspects， introducing the JAK/STAT pathway， elaborating the mechanism of this pathway in lung cancer， and exploring the intervention of TCM in the treatment of lung cancer through this pathway， to provide more reference for the treatment of lung cancer in the future.

Using the liquid chromatography-tandem mass spectrometry (LC-MS/MS) to determine the plasma level of Lyso-GL3 in patients with Fabry disease and to analyze the clinical application of the method.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

Background and purpose:Breast cancer is a major global public health problem.Bone is the most common site of distant metastasis of breast cancer,accounting for about 70%of all metastatic cases.Bone metastasis of breast cancer can cause a series of complications,including severe pain,pathological fracture,hypercalcemia,spinal cord compression,etc.,which bring great inconvenience to patients'physical activities and affect their quality of life.Metastatic recurrence is the leading cause of death in breast cancer patients.Therefore,there is an urgent need to build a diagnostic model of bone metastasis in breast cancer to identify patients with a high risk of bone metastasis.The aim of this study was to develop a predictive model based on machine learning to predict the probability of breast cancer developing bone metastasis.Methods:Data of breast cancer patients diagnosed between 2010 and 2015 were extracted from The Surveillance,Epidemiology,and End Results(SEER)database.The variables were screened by least absolute shrinkage and selection operator(LASSO)regression,univariate and multivariate logistic regression analysis,and statistically significant risk factors were included to build a prediction model.In this study,nine machine learning algorithms,including decision tree,elastic network,K-nearest neighbor,lightweight gradient elevator,logistic regression,neural network,random forest,support vector machine and limit gradient lifting,were used to adjust the model hyperparameters through random search and 5x cross-validation to build a breast cancer bone metastasis prediction model.The area under the receiver operating characteristic(ROC)curve,calibration curve and decision curve were used to evaluate the model,the optimal model was obtained,and the importance of variables was analyzed based on the optimal model.Finally,a network calculator for predicting the risk of bone metastasis of breast cancer was established using the optimal model.Results:The study included 10 106 patients with breast cancer,7 073 patients in the training set,and 3 033 patients in the validation set.We found that 4 494(63.5%)patients in the training set and 1 927(63.5%)patients in the validation set developed bone metastases,respectively.Race,pathologic grade,estrogen receptor(ER)status,progesterone receptor(PR)status,human epidermal growth factor receptor 2(HER2)status,N stage,lung metastasis,radiotherapy,chemotherapy and surgery were independent predictors of bone metastasis.The training set and verification set were used to verify the model,and the limit gradient lifting algorithm was superior to other machine learning algorithms by integrating the evaluation indexes such as the area under the ROC curve,calibration curve and decision curve.Finally,we used limit gradient algorithm to build network calculator for prediction of breast cancer bone metastases(https://bcbm.shinyapps.io/DynNomapp/).Conclusion:This study developed a predictive model based on machine learning to predict the probability of bone metastases in breast cancer patients,hoping to help clinicians make more rational treatment decisions.

Objective To explore characteristics of co-infection of Chlamydia pneumoniae(Cpn)and severe acute respiratory syndrome coronavirus 2(SARS-CoV-2),and identify their effect on SARS-CoV-2-induced inflammatory response.Methods Patients with coronavirus disease 2019(COVID-19)who received treatment in a hospital in Chenzhou City from December 20,2022 to February 20,2023 were selected.According to the severity of COVID-19,severe and critical cases were classified as the severe symptom group,while mild and moderate cases were classified as the mild symptom group.Meanwhile,according to the age of patients(≥18 years old as adults,＜18 years old as juveniles),they were divided into the adult severe symptom group,adult mild symptom group,juvenile severe symptom group,and juvenile mild symptom group.Propensity score was adopted to match age,gender,and under-lying diseases of patients in severe symptom and mild symptom group in a 1∶1 ratio.Bronchoalveolar lavage fluid(BALF),throat swabs,and serum specimens of patients were collected.Cpn IgG/IgM antibody was detected by enzyme-linked immunosorbent assay(ELISA),levels of 12 common cytokines(including interleukin-8[IL-8])in BALF were detected by flow cytometry,differences among groups were compared.Results A total of 102 patients were included,with 61 severe and critical(severe symptom)patients,as well as 41 mild and moderate(mild symp-tom)patients.There were 71 patients aged ≥18 years and 31 juvenile patients aged＜18 years.There were 39 pa-tients in the adult severe symptom group and 32 in the adult mild symptom group,and 30 pairs were successfully matched through propensity score analysis.There were 22 patients in the juvenile severe symptom group and 9 in the juvenile mild symptom group,and 8 pairs were successfully matched through propensity score analysis.Among COVID-19 patients,the positive rates of Cpn IgG and IgM were 36.27％(n=37)and 8.82％(n=9),respective-ly,with 1 case positive for both Cpn IgG and IgM.The level of interferon(IFN)-α in serum specimens from adult patients with severe symptom combined with positive Cpn IgG was higher than that of IgG negative patients(P=0.037).There was no statistically significant difference in the levels of other cytokines in BALF and serum speci-mens between the two groups of patients(all P＞0.05).The levels of IL-8 and IL-17 in serum specimens of patients with positive Cpn IgG in the adult mild symptom group were both higher than those in Cpn IgG negative patients(both P＜0.05).The levels of IL-8 in both BALF and serum specimens from Cpn IgM positivity patients in the ju-venile mild symptom group were higher than those from patients with negative Cpn IgM(both P＜0.05).Logistic regression analysis results showed that Cpn IgG and IgM positivity were not risk factors for the development of se-vere COVID-19.Conclusion Combined Cpn infection is not a risk factor for the development of severe symptom in COVID-19 patients,and Cpn infection has limited impact on the secretion of inflammatory factors caused by SARS-CoV-2.

Abstract： Objective　To analyze the value and influencing factors of cross-primer isothermal amplification technology(CPA) in clinical screening and diagnosis of tuberculosis (TB). Methods　We collected 543 inpatients in the Second Affiliated Hospital of Hainan Medical College from January 1, 2018 to December 31, 2021, including 179 patients with tuberculosis, 187 patients with pneumonia and 177 patients with other diseases. The patients' sputum, alveolar lavage fluid, pleural effusion and midstream urine were detected by CPA, smear microscopy, culture method and gene detection. The value of CPA detection in the diagnosis of tuberculosis and its influencing factors were evaluated. Statistical analysis was performed using SPSS 26.0. Results　The total positive rate of CPA was 14.4% (78/543), and the positive rate of sputum samples accounted for 29.1% (39/134). Among the 78 cases of CPA positive patients, the tuberculosis group accounted for 69.2% (54/78), followed by pneumonia group 21.8% (17/78), and other diseases group accounted for 9.0% (7/78). Taking CPA test as the reference method, the "sensitivity" of smear microscopy was lower than that of genetic testing and culture, while the "specificity" was higher than that of culture and gene testing, and the "missed diagnosis rate" of smear microscopy was higher than that of genetic testing and culture. CPA test positive was related to gender, ESR and pneumonia. There is a good agreement between CPA test and culture method and gene test (Kappa>0.9), and a moderate agreement between CPA test and smear microscopy (Kappa=0.616). Conclusions　Sputum specimen is the best choice for CPA detection, while the value of pleural effusion detection is relatively limited. Sputum, alveolar lavage fluid and midcourse urine can be used as clinical specimens for screening and diagnosis of "tuberculosis group and other disease group", while sputum can be used for screening and diagnosis of "tuberculosis group and pneumonia group". Gender, ESR and pneumonia are the influencing factors of CPA positive patients. Therefore, CPA testing is worthy of clinical promotion, but more clinical research data are needed.

Emerging SARS-CoV-2 variants have made COVID-19 convalescents susceptible to re-infection and have raised concern about the efficacy of inactivated vaccination in neutralization against emerging variants and antigen-specific B cell response. To this end, a study on a long-term cohort of 208 participants who have recovered from COVID-19 was conducted, and the participants were followed up at 3.3 (Visit 1), 9.2 (Visit 2), and 18.5 (Visit 3) months after SARS-CoV-2 infection. They were classified into three groups (no-vaccination (n = 54), one-dose (n = 62), and two-dose (n = 92) groups) on the basis of the administration of inactivated vaccination. The neutralizing antibody (NAb) titers against the wild-type virus continued to decrease in the no-vaccination group, but they rose significantly in the one-dose and two-dose groups, with the highest NAb titers being observed in the two-dose group at Visit 3. The NAb titers against the Delta variant for the no-vaccination, one-dose, and two-dose groups decreased by 3.3, 1.9, and 2.3 folds relative to the wild-type virus, respectively, and those against the Omicron variant decreased by 7.0, 4.0, and 3.8 folds, respectively. Similarly, the responses of SARS-CoV-2 RBD-specific B cells and memory B cells were boosted by the second vaccine dose. Results showed that the convalescents benefited from the administration of the inactivated vaccine (one or two doses), which enhanced neutralization against highly mutated SARS-CoV-2 variants and memory B cell responses. Two doses of inactivated vaccine among COVID-19 convalescents are therefore recommended for the prevention of the COVID-19 pandemic, and vaccination guidelines and policies need to be updated.

Objective:To evaluate the efficacy and safety of belimumab combined with standard regimen in the treatment of active lupus nephritis (LN).Methods:It was a single-center, pre - and post-control retrospective study. The Data of active LN patients treated with belimumab combined with standard regimen in the Department of Nephrology, the First Affiliated Hospital of Sun Yat-sen University from June 1, 2020 to June 30, 2022 were collected for analyzing the renal response rate and adverse reactions after belimumab treatment.Results:A total of 17 patients were included, including 14 females (82.35%). The age of the first medication was (26.06±2.64) years old, the median time of illness before the use of belimumab was 24.00 (8.50, 48.50) months, and the recurrence times before the use of belimumab was (1.24±1.03) times. All the 17 patients underwent renal biopsy. The main pathological types were type IV in 11 cases (11/17), type Ⅲ+V in 2 cases (2/17), type IV+V in 3 cases (3/17), and type V in 1 case (1/17). The dose of glucocorticoids was (22.95±8.30) mg/d in 1 year before belimumab administration. In 12 patients with LN who completed 24 weeks of belimumab treatment plan, the 24-hour urinary protein showed a downward trend, and there was a statistically significant difference compared with the baseline at 24 week [0.49 (0.15, 2.19) g vs. 2.83 (1.14, 4.11) g, Z=-2.100, P=0.036]. Compared with the baseline, serum albumin at 24 week increased by 29.36%, with statistically significant difference [(34.50±3.34) g/L vs. (26.67±5.75) g/L, t=-3.840, P=0.030]. The systemic lupus erythematosus disease activity index-2K score continued to decline, with statistically significant difference compared with baseline at 24 week (5.00±3.02 vs. 12.00±2.82, t=6.163, P<0.001). The lymphocyte count increased, and the difference was statistically significant compared with the baseline at 24 week [0.72(0.28, 2.39)×10 9/L vs. 0.30(0.19,0.34)×10 9/L, Z=-2.073, P=0.038]. There was a statistically significant difference between the glucocorticoids dosage at 24 week and the average glucocorticoids dosage 1 year before treatment [(11.25±6.35) mg/d vs. (22.60±9.75) mg/d, t=4.225, P=0.003]. After observation of belimumab for (38.13±22.93) weeks, patients had a complete response rate of 64.71% (11/17), a partial response rate of 17.65% (3/17), and an overall response rate of 82.35% (14/17). Relapse occurred in 1 case.No infusion-related reactions occurred in 17 patients. During the treatment, a total of 5 adverse events occurred, including 2 cases of pulmonary infection, 1 case each of sepsis, upper respiratory tract infection, and cytomegalovirus infection, which all improved after treatment and the subsequent treatment was not affected. Conclusion:Belimumab combined with standard regimen can improve the response rate of LN, reduce the recurrence rate, reduce the dosage of glucocorticoids, and control the overall adverse events with good prognosis.

Objective To analyze the chemical constituents in the water extract of Bupleuri Radix and investigate the active ingredients of Bupleuri Radix for the treatment of depression.Methods The chemical constituents in the water extract of Bupleuri Radix were identified by Ultra-high-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry(UPLC-Q-TOF/MS).CORT-induced poorly differentiated PC12 depression cell model was launched,and PC12 cells were pretreated with monomeric compounds from Bupleuri Radix for 24 h.The cell viability and LDH release rate were measured by CCK-8 assy kit and LDH assay kit,respectively.Results A total of 53 compounds were identified in the water extract of Bupleuri Radix,mainly including type Ⅰ,type Ⅱ and type Ⅲsaikosaponins.Among them,saikosaponin A,saikosaponin B2,saikosaponin C,saikosaponin E,saikosaponin F and 6″-acetyl saikosaponin A contributed the most to the metabolite profile of Bupleuri Radix,and could improve the viability of CORT-induced PC12 cells(P<0.05,P<0.01).Furthermore,saikosaponin A,saikosaponin B2,saikosaponin C,saikosaponin E and saikosaponin F could decrease the LDH release rate of CORT-induced PC12 cells(P<0.05,P<0.01).Conclusion The major anti-depression active ingredients in Bupleuri Radix may be Saikosaponin A,saikosaponin B2,saikosaponin C,saikosaponin E and saikosaponin F,which lays a foundation for the research of the quality control and pharmacodynamic material basis of Bupleuri Radix.

Objective:To study the clinical characteristics of different types of neonatal sepsis.Methods:From January 2012 to December 2019, neonates with confirmed sepsis from 5 neonatal centers of central-south China were reviewed. The neonates were assigned into early-onset sepsis (EOS) and late-onset sepsis (LOS) group, and the latter was further subgrouped into hospital-acquired LOS (hLOS) group and community-acquired LOS (cLOS) group. The etiological and clinical characteristics were analyzed. SPSS 26.0 was used for statistical analysis.Results:A total of 580 neonates were enrolled, including 286 (49.3%) in the EOS group and 294 (50.7%) in the LOS group. In LOS group, 147 were in hLOS group and 147 were in cLOS group. The gestational age and birth weight of hLOS group were significantly lower than the other two groups [(32.7±3.6) weeks vs. (37.1±3.7) weeks and (37.7±3.0) weeks, (1 810±717) g vs. (2 837±865) g and (3 024±710) g] ( P<0.05). The common pathogens in EOS and cLOS groups were coagulase-negative staphylococci and Escherichia coli, while Klebsiella pneumoniae was common in hLOS group. Carbapenems usage in the hLOS group was significantly higher than the other two groups [62.6% vs. 28.7% and 16.2%] ( P<0.05). Antibiotics duration in the hLOS group was longer than the other two groups [19 (14, 27) d vs. 15 (12, 20) d and 14 (12, 19) d] ( P<0.05). Conclusions:The clinical characteristics of neonatal sepsis vary among different types of infections, and it is necessary to establish appropriate prevention, control, diagnosis and treatment protocols.