According to the codon characteristics of the prokaryotic system,we synthesized the optimized Rv2628c-Rv1737c nucleic acid sequence and constructed the expression plasmid pET24a-Rv2628c-Rv1737c.After sequencing,expression in E.coli was induced.The fusion protein was found in inclusion bodies.After renaturation and affinity chromatography purifi-cation,the Rv2628c-Rv1737c recombinant protein,with a molecular weight of 57 kDa and a purity exceeding 90％,was ob-tained.The recombinant protein was used to stimulate PBMC cells from different patients,and the differences in IFN-γ mRNA expression were analyzed with q-PCR.The Rv2628c-Rv1737c fusion protein stimulated patients with TB,particularly latent TB infection(LTBI).The level of IFN-γ mRNA in PBMC cells was higher than that in healthy controls(P＜0.05).Mice immu-nized with BCG+Rv2628c-Rv1737c/DMT showed significant induction of high levels of IgG antibodies.Rv2628c-Rv1737c re-combinant protein,as a latent infection antigen,is recognized by PBMCs cells infected with TB,with strong immunogenicity,and thus may serve as a potential TB subunit vaccine target antigen.This protein may be used to prevent TB infection,particu-larly latent infection,and to perform laboratory diagnosis.

Objective To explore the effect of a phased rehabilitation training programme to relieve shoulder dys-function in patients after neck dissection and to provide effective solutions for postoperative shoulder joint function recov-ery of patients.Methods This study has been reviewed and approved by the Ethics Committee,and informed consent has been obtained from patients.A phased rehabilitaiton training programme for the shoulder after neck dessection was developed through literature review and discussion,and 70 eligible patients from Hospital of Stomatology,Sun Yat-sen University from December 2020 to April 2021 were selected and randomly divided into the test group and control group(35 patients in each group).The control group underwent motor rehabilitation training from 6 weeks postoperative to 1 year after surgery,such as shoulder mobility and coordination training and small range of motion training of the neck,while the test group took part in a rehabilitation training program that included familiarization maneuver training,protective rehabilitation,exercise rehabilitation,and resistance training in the following four stages:preoperative,postop-erative general anesthesia and awake until the removal of stitches,the removal of stitches until 6 weeks after surgery,and 6 weeks after surgery until 1 year after surgery.The frequency of training in both groups was at least 3 days per week,and the length of each training session was 10-15 min.The intensity of exercise was 2-3 points on the Borg Conscious Ex-ercise Intensity Scale(i.e.,mild-to-moderate tachypnea or fatigue).The neck dissection injury index(NDII)was used to evaluate the quality of life related to shoulder joint function at four time points:preoperative,postoperative 3 months,postoperative 6 months,and postoperative 12 months.The higher the score,the better the quality of life.Results 28 cases in the test group and 32 cases in the control group completed a one-year follow-up.At 3 and 6 months postopera-tive,the NDII of the test group was significantly higher than that of the control group[3 months postoperative:test group(93.48±9.36)vs.control group(80.00±11.34)(P＜0.001),6 months postoperative:test group(98.21±4.76)vs.control group(90.70±9.12)(P＜0.001)];12 months after surgery,the NDII of the test group(97.23±4.88)was still higher than that of the control group(96.33±4.49),but the difference was not statistically significant(P=0.458).The difference in NDII scores among subjects at 3,6,and 12 months after surgery was statistically significant in each group(P＜0.001).Conclusion The application of the phased rehabilitation training method in neck dissection patients has a feasibility and could improve the quality of life of patients'shoulder joint function within 6 months after surgery.

Backgrounds Insomnia is frequent in schizophrenia and is found to be negatively affected by stressful life events,psychotic symptoms and depressive disorder,while the relationship among the four remains understudied in community-dwelling patients with schizophrenia.Objective To analyze the effect of stressful life events on insomnia in community-dwelling patients with schizophrenia,and to explore the mediation effect of psychotic symptoms and depression,so as to provide references for the intervention of insomnia in community-dwelling patients with schizophrenia.Methods From April to June 2023,a sample of 1 105 patients with schizophrenia attending 48 community health centers in Chengdu,Sichuan province and fulfilling the International Classification of Diseases,tenth edition(ICD-10)diagnostic criteria were included.All subjects were assessed using Stressful Life Event Scale(SLEs),Athens Insomnia Scale(AIS),Psychosis Screening Questionnaire(PSQ),and Patient Health Questionnaire Depression Scale(PHQ-9).Spearman correlation analysis was used to determine the correlation among the scales.Then the mediation model was constructed using Smart PLS 4.0,and tested with partial least squares algorithm and Bootstrap techniques.Results 332 patients(30.05%)with community schizophrenia were found to have insomnia.AIS scores in patients with schizophrenia were positively correlated with the scores on SLEs,PSQ and PHQ-9(r=0.165,0.322,0.554,P<0.01).Stressful life events indirectly contributed to insomnia through both separate mediation path and chained mediation path of psychotic symptoms and depressive disorder,and the indirect effect size of 0.102,0.372 and 0.190 was obtained,accounting for 10.46%,38.15%and 19.49%,respectively.Conclusion The stressful life events not only directly exert an impact on insomnia,but also indirectly contribute to insomnia through both the separate and chained mediation effect of psychotic symptoms and depressive disorder.

Objective To investigate the effects of total flavones from Oxytropis falcata Bunge on hepatic fibrosis(HF)induced by carbon tetrachloride and liver transforming growth factor(TGF-β)/Smad signaling pathway.Methods Forty-eight male rats were randomly divided into normal group(intraperitoneal injection of peanut oil,intragastric administration of 0.9％NaCl),model group(intraperitoneal injection of 40％CC14 peanut oil solution induced HF model,intragastric administration of 0.9％NaCl),positive control group(modeling,intragastric administration of 0.2 mg·kg-1 of colchicine),experimental-L,-M,-H groups(modeling,intragastric administration of 100,200 and 400 mg·kg-1 of total flavonoid extract of Oxytropis falcata Bunge),8 individuals in each group,for 4 consecutive weeks.The histopathological changes were observed by hematoxylin-eosin and Masson staining.Serum liver function and liver fibrosis were measured;erum inflammatory factors were detected;fluorescence quantitative polymerase chain reaction(RT-qPCR)was used to determine gene expression in liver.Results The pathological injury of liver tissue in the model group was serious,and a large number of inflammatory factors and collagen fibers were accumulated,while the rest of the treatment groups had different degrees of remission.In normal group,model group,positive control group,experimental-L,-M,-H groups,glutamic-pyruvic transaminase levels were(49.28±12.44),(5 885.42±948.37),(4 454.60±489.27),(4 650.47±843.53),(3 761.75±887.30)and(3 544.90±1 066.75)μg·L-1;glutamic-oxaloacetic transaminase levels were(186.90±46.89),(5 936.23±793.81),(3 971.37±780.28),(4 360.30±863.35),(3 943.10±439.47)and(3 971.38±631.08)μg·L-1;hyaluronic acid levels were(45.08±17.16),(104.32±36.06),(66.83±20.09),(70.30±21.07),(60.00±9.68)and(59.02±10.73)μg·L-1;laminin levels were(23.13±3.89),(60.85±13.66),(35.67±9.92),(39.98±9.39),(36.55±12.21)and(34.68±24.83)μg·L-1;type Ⅲ procollagen level were(24.98±5.34),(82.58±30.14),(40.70±16.14),(51.08±23.21),(43.60±12.48)and(44.20±11.66)p±g·L-1;interleukin(IL)-1β levels were(37.63±1.24),(46.10±3.23),(39.22±2.36),(41.33±0.93),(40.25±2.04)and(39.18±2.23)pg·mL-1;tumor necrosis factor-α levels were(314.58±20.56),(383.71±16.97),(349.00±7.93),(348.88±25.11),(325.75±27.84)and(335.07±21.33)pg·mL-1;TGF-β1 mRNA expression of relative quantity respectively were 1.00±0.00,60.99±15.70,9.61±1.59,7.37±1.09,6.41±0.64,6.87±1.09;Smad7 mRNA relative expression were 1.00±0.00,0.34±0.05,0.21±0.03,0.35±0.02,0.38±0.02,0.42±0.03.The above indexes in the model group were compared with the normal group,and the above indexes in the experimental-M,-H groups were compared with the model group,and the differences were statistically significant(P＜0.05,P＜0.01,P＜0.001).Conclusion Total flavonoids of Oxytropis falcata Bunge have protective effects on CC14-induced liver fibrosis in rats,and the mechanism may be related to the regulation of TGF-β/Smad pathway.

Objective:To study the biological traits and mutations of the influenza A (H3N2) virus in order to produce a vaccine and offer references for controlling and preventing influenza epidemics.Methods:Four strains of the influenza A(H3N2) virus were chosen from the Huai′an surveillance network laboratory. Nucleic acid extraction, library building, and sequencing (CridION x5 MKI Nanopore) were used to produce the whole-genome sequences. Using homologous alignments of whole-genome sequences, phylogenetic tree construction, and amino acid variant screening, bioinformatics analysis was carried out.Results:The nucleotide identity between 8 gene segments ranged from 97.1% to 100.0%. The gene that differed the most from the reference sequences was HA (97.1%-99.9%), and the gene that differed the least was MP (98.6%-99.9%). The HA gene (3.06%) and MP gene (1.43%) were the regions with the greatest and lowest frequencies of nucleotide site change, respectively. The rates of nucleotide change varied significantly between the genes ( χ2=14.293, P=0.046). Four influenza A(H3N2) virus strains′ whole-genome phylogenies from each of the eight gene segments maintained a roughly consistent topological structure. One strain was linked to the 3C.2a1b.1b clade, which was lost at the 142NWT, 149NGT(HA1), and 436NLS(NA). Three strains were linked to the 3C.2a1b.2a.1a clade lineage. Amantadine and NA inhibitors were effective against all Huai′an strains. Conclusions:The antigenicity of one strain of Huai'an strain changed and its matching with the vaccine strain of that year was low. It is suggested that the genetic surveillance of H3N2 influenza virus should be continuously strengthened to provide scientific basis for influenza prevention and control and influenza vaccine screening.

This study explores the effects and possible mechanisms of nuclear factor E2 related factor 2 (NRF2) on ovarian granulosa cells, providing a scientific basis to prevent premature ovarian failure. An ovarian cell injury model was constructed by treating human ovarian granulosa cell (KGN cell) with 4-Vinylcyclohexene dioxide (VCD). Firstly, KGN cells were treated with different concentrations of VCD, and cell counting kit 8 (CCK-8) was used to detect ovarian cell proliferation. After determining IC 50 by CCK8, the levels of estradiol and progesterone in the cell supernatant were detected using enzyme-linked immunosorbent assay (ELISA), reactive oxygen species (ROS) assay kit was used to detect the content of ROS in ovarian cells, real-time fluorescence quantitative polymerase chain reaction (qRT PCR) was used to detect the mRNA expression level of NRF2, and Western blot was used to detect the protein expression level of NRF2. Further, NRF2 silence (siNRF2) and overexpression (NRF2-OE) cell models were constructed through lentivirus transfection, and the effects of regulating NRF2 on VCD treated cell models were investigated by detecting hormone levels, oxidative stress indicators (ROS, SOD, GSH-Px), and autophagy (LC3B level). The results showed that VCD intervention inhibited the proliferation of ovarian granulosa cells in a time-dependent and dose-dependent manner ( F>100, P<0.05), with an IC 50 of 1.2 mmol/L at 24 hours. After VCD treatment, the level of estradiol in the cell supernatant decreased from (56.32±10.18) ng/ml to (24.59±8.75) ng/ml ( t=5.78, P<0.05). Progesterone decreased from (50.25±7.03) ng/ml to (25.13±6.67) ng/ml ( t=6.54, P<0.05). After VCD treatment, the SOD of cells decreased from (44.47±7.71) ng/ml to (30.92±4.97) ng/ml ( t=3.61, P<0.05). GSH-Px decreased from (68.51±10.17) ng/ml to (35.19±6.59) ng/ml ( t=5.73, P<0.05). Simultaneously accompanied by an increase in autophagy and a decrease in NRF2. This study successfully constructed KGN cell models that silenced NRF2 and overexpressed NRF2. Subsequently, this study treated each group of cells with VCD and found that the cell proliferation activity of the siNRF2 group was significantly reduced ( t=8.37, P<0.05), while NRF2-OE could reverse the cell activity damage caused by VCD ( t=3.37, P<0.05). The siNRF2 group had the lowest level of estradiol ( t=5.78, P<0.05), while NRF2-OE could reverse the decrease in cellular estradiol levels caused by VCD ( t=5.58, P<0.05). The siNRF2 group had the lowest progesterone levels ( t=3.02, P<0.05), while NRF2-OE could reverse the decrease in cellular progesterone levels caused by VCD ( t=2.41, P<0.05). The ROS level in the siNRF2 group was the highest ( t=2.86, P<0.05), NRF2-OE could reverse the increase in ROS caused by VCD ( t=3.14, P<0.05), the SOD enzyme content in the siNRF2 group was the lowest ( t=2.98, P<0.05), and NRF2-OE could reverse the decrease in SOD enzyme content caused by VCD ( t=4.72, P<0.05). The GSH-Px enzyme content in the siNRF2 group was the lowest ( t=3.67, P<0.05), and NRF2-OE could reverse the decrease in antioxidant enzyme content caused by VCD ( t=2.71, P<0.05). The LC3B level was highest in the siNRF2 group ( t=2.45, P<0.05), and NRF2-OE was able to reverse the LC3B elevation caused by VCD ( t=9.64, P<0.05). In conclusion, NRF2 inhibits ROS induced autophagy, thereby playing a role in reducing ovarian granulosa cell damage, which may be a potential target for premature ovarian failure.

This study explores the effects and possible mechanisms of nuclear factor E2 related factor 2 (NRF2) on ovarian granulosa cells, providing a scientific basis to prevent premature ovarian failure. An ovarian cell injury model was constructed by treating human ovarian granulosa cell (KGN cell) with 4-Vinylcyclohexene dioxide (VCD). Firstly, KGN cells were treated with different concentrations of VCD, and cell counting kit 8 (CCK-8) was used to detect ovarian cell proliferation. After determining IC 50 by CCK8, the levels of estradiol and progesterone in the cell supernatant were detected using enzyme-linked immunosorbent assay (ELISA), reactive oxygen species (ROS) assay kit was used to detect the content of ROS in ovarian cells, real-time fluorescence quantitative polymerase chain reaction (qRT PCR) was used to detect the mRNA expression level of NRF2, and Western blot was used to detect the protein expression level of NRF2. Further, NRF2 silence (siNRF2) and overexpression (NRF2-OE) cell models were constructed through lentivirus transfection, and the effects of regulating NRF2 on VCD treated cell models were investigated by detecting hormone levels, oxidative stress indicators (ROS, SOD, GSH-Px), and autophagy (LC3B level). The results showed that VCD intervention inhibited the proliferation of ovarian granulosa cells in a time-dependent and dose-dependent manner ( F>100, P<0.05), with an IC 50 of 1.2 mmol/L at 24 hours. After VCD treatment, the level of estradiol in the cell supernatant decreased from (56.32±10.18) ng/ml to (24.59±8.75) ng/ml ( t=5.78, P<0.05). Progesterone decreased from (50.25±7.03) ng/ml to (25.13±6.67) ng/ml ( t=6.54, P<0.05). After VCD treatment, the SOD of cells decreased from (44.47±7.71) ng/ml to (30.92±4.97) ng/ml ( t=3.61, P<0.05). GSH-Px decreased from (68.51±10.17) ng/ml to (35.19±6.59) ng/ml ( t=5.73, P<0.05). Simultaneously accompanied by an increase in autophagy and a decrease in NRF2. This study successfully constructed KGN cell models that silenced NRF2 and overexpressed NRF2. Subsequently, this study treated each group of cells with VCD and found that the cell proliferation activity of the siNRF2 group was significantly reduced ( t=8.37, P<0.05), while NRF2-OE could reverse the cell activity damage caused by VCD ( t=3.37, P<0.05). The siNRF2 group had the lowest level of estradiol ( t=5.78, P<0.05), while NRF2-OE could reverse the decrease in cellular estradiol levels caused by VCD ( t=5.58, P<0.05). The siNRF2 group had the lowest progesterone levels ( t=3.02, P<0.05), while NRF2-OE could reverse the decrease in cellular progesterone levels caused by VCD ( t=2.41, P<0.05). The ROS level in the siNRF2 group was the highest ( t=2.86, P<0.05), NRF2-OE could reverse the increase in ROS caused by VCD ( t=3.14, P<0.05), the SOD enzyme content in the siNRF2 group was the lowest ( t=2.98, P<0.05), and NRF2-OE could reverse the decrease in SOD enzyme content caused by VCD ( t=4.72, P<0.05). The GSH-Px enzyme content in the siNRF2 group was the lowest ( t=3.67, P<0.05), and NRF2-OE could reverse the decrease in antioxidant enzyme content caused by VCD ( t=2.71, P<0.05). The LC3B level was highest in the siNRF2 group ( t=2.45, P<0.05), and NRF2-OE was able to reverse the LC3B elevation caused by VCD ( t=9.64, P<0.05). In conclusion, NRF2 inhibits ROS induced autophagy, thereby playing a role in reducing ovarian granulosa cell damage, which may be a potential target for premature ovarian failure.

Objective To explore the risk factors of early femoral head necrosis in patients with femoral neck fracture after operation,and to establish a nomogram prediction model.Methods A total of 167 patients with femoral neck fracture from Jan-uary 2020 to April 2022 were selected and divided into necrosis group and non-necrosis group according to whether femoral head necrosis occurred in the early postoperative period.There were 21 males and 17 females in the necrosis group,aged from 33 to 72 years old,with an average of(53.49±10.96)years old,and the time from injury to operation ranged from 40 to 67 hours,with average time of(53.46±7.23)hours.There were 72 males and 57 females in the non-necrosis group,aged from 18 to 83 years,with an average of(52.78±12.55)years old,and the time from injury to operation was 18 to 65 hours,with an aver-age time of(39.88±7.79)hours.The potential influencing factors,including patient gender,diabetes mellitus,hypertension,chronic liver disease,posterior inclination angle of the femoral head,operation mode,fracture displacement,fracture line loca-tion,preoperative braking traction,screw arrangement mode,reduction quality,age,body mass index(BMI),and injury to operation time were subjected to single factor analysis.Logistic multivariate regression analysis was conducted for factors with a significance level of P＜0.05.Results The incidence of femoral head necrosis in 167 patients with femoral neck fracture was 22.76％.The following factors were identified as independent risk factors for early postoperative femoral head necrosis in pa-tients with femoral neck fractures:coexisting diabetes[OR=5.139,95％CI(1.405,18.793),P=0.013],displaced fracture[OR=3.723,95％CI(1.105,12.541),P=0.034],preoperative immobilization[OR=3.444,95％CI(1.038,11.427),P=0.043],quality of reduction[OR=3.524,95％CI(1.676,7.411),P=0.001],and time from injury to surgery[OR=1.270,95％CI(1.154,1.399),P=0.000].The Hosmer-Lemeshow goodness-of-fit test(x2=3.951,P=0.862),the area under the receiver operator characteristic(ROC)curve was 0.944[P＜0.001,95％CI(0.903,0.987)],with a sensitivity of 89.50％,the specificity was 88.40％,the maxi-mum Youden index was 0.779,and the overall trend of the model correction curve was close to the ideal curve.Model regres-sion equation was Z=1.637 × diabetes+1.314× fracture displacement+1.237 × preoperative braking traction+1.260 × reduc-tion quality+0.239 ×injury to operation time-18.310.Conclusion The occurrence of early femoral head necrosis in patients with femoral neck fracture postoperatively is affected by multiple factors.The risk early warning model established according to the factors has good predictive efficacy.

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.

Objective:To establish a set of artificial intelligence (AI) verification rules for blood routine analysis.Methods:Blood routine analysis data of 18 474 hospitalized patients from the First Hospital of Jilin University during August 1st to 31st, 2019, were collected as training group for establishment of the AI verification rules,and the corresponding patient age, microscopic examination results, and clinical diagnosis information were collected. 92 laboratory parameters, including blood analysis report parameters, research parameters and alarm information, were used as candidate conditions for AI audit rules; manual verification combining microscopy was considered as standard, marked whether it was passed or blocked. Using decision tree algorithm, AI audit rules are initially established through high-intensity, multi-round and five-fold cross-validation and AI verification rules were optimized by setting important mandatory cases. The performance of AI verification rules was evaluated by comparing the false negative rate, precision rate, recall rate, F1 score, and pass rate with that of the current autoverification rules using Chi-square test. Another cohort of blood routine analysis data of 12 475 hospitalized patients in the First Hospital of Jilin University during November 1sr to 31st, 2023, were collected as validation group for validation of AI verification rules, which underwent simulated verification via the preliminary AI rules, thus performance of AI rules were analyzed by the above indicators. Results:AI verification rules consist of 15 rules and 17 parameters and do distinguish numeric and morphological abnormalities. Compared with auto-verification rules, the true positive rate, the false positive rate, the true negative rate, the false negative rate, the pass rate, the accuracy, the precision rate, the recall rate and F1 score of AI rules in training group were 22.7%, 1.6%, 74.5%, 1.3%, 75.7%, 97.2%, 93.5%, 94.7%, 94.1, respectively.All of them were better than auto-verification rules, and the difference was statistically significant ( P<0.001), and with no important case missed. In validation group, the true positive rate, the false positive rate, the true negative rate, the false negative rate, the pass rate, the accuracy, the precision rate, the recall rate and F1 score were 19.2%, 8.2%, 70.1%, 2.5%, 72.6%, 89.2%, 70.0%, 88.3%, 78.1, respectively, Compared with the auto-verification rules, The false negative rate was lower, the false positive rate and the recall rate were slightly higher, and the difference was statistically significant ( P<0.001). Conclusion:A set of the AI verification rules are established and verified by using decision tree algorithm of machine learning, which can identify, intercept and prompt abnormal results stably, and is moresimple, highly efficient and more accurate in the report of blood analysis test results compared with auto-vefication.