ObjectiveTo predict the mechanism through which Shasheng Maidong Tang enhances the efficacy of chemotherapy for lung cancer via network pharmacology and validate the prediction results in animal experiments. MethodsThe potential mechanism through which Shasheng Maidong Tang enhances the efficacy of chemotherapy for lung cancer was predicted by network pharmacology， liquid chromatography-mass spectrometry （LC-MS）， and molecular docking methods. C57/BL6 mice were assigned into normal， model， cisplatin， and Shasheng Maidong Tang+cisplatin groups. In addition to the normal group， the remaining groups were injected subcutaneously with 0.2 mL of 1×10⁷ cells·mL^-1 Lewis lung cancer cells to establish the Lewis lung cancer model. The daily gavage dose of Shasheng Maidong Tang was 3.58 g·kg^-1， and the concentration of cisplatin intraperitoneally injected on every other day was 2 mg·kg^-1. Drugs were administered for 14 d. The changes in the tumor volume and the rate of tumor suppression were monitored， and the tumor histopathological changes were observed by hematoxylin-eosin （HE） staining. Enzyme-linked immunosorbent assay was employed to measure the interleukin （IL）-6 and interferon （IFN）-γ levels in peripheral blood. Real-time PCR was performed to quantify the mRNA levels of Janus kinase 2 （JAK2）， signal transducer and activator of transcription 1 （STAT1）， and signal transducer and activator of transcription 3 （STAT3） in the tumor tissue of mice. Western blot was employed to determine the protein levels of JAK2， STAT3， B-cell lymphoma-2 （Bcl-2）， cysteinyl aspartate-specific proteinase-3 （Caspase-3）， and Pim-1 proto1 （PIM1） in the tumor tissue. Immunohistochemistry was employed to detect the expression of Bcl-2 and PIM1 in the tumor tissue. ResultsNetwork pharmacological predictions indicated that Shasheng Maidong Tang might enhance the efficacy of chemotherapy for lung cancer by regulating nitrogen metabolism， AGE-RAGE signaling pathway， cancer pathway， and JAK/STAT signaling pathway. The experimental results demonstrated that tumor volume in the cisplatin group and Shasheng Maidong Tang+cisplatin group was reduced compared with the model group， with statistically distinct differences observed on days 14， 17， 20 post modeling （P<0.05）. Notably， the Shasheng Maidong Tang+cisplatin therapy further decreased tumor volume compared with the cisplatin group， showing marked reductions on days 17 and 20 （P<0.05）， consistent with trends visualized in tumor volume comparison charts. The Shasheng Maidong Tang+cisplatin group exhibited higher tumor inhibition rate than the cisplatin group （P<0.05）. Histopathological analysis via HE staining revealed that the tumors in the model group displayed frequent nuclear mitosis， densely arranged cells， hyperchromatic nuclei， and no necrosis. Cisplatin treatment induced partial necrosis and vacuolization， while the Shasheng Maidong Tang+cisplatin group exhibited extensive necrotic regions， maximal vacuolization， disarranged tumor cells， and minimal mitotic activity. Compared with the model group， the cisplatin group and the Shasheng Maidong Tang+cisplatin group showed elevated level of IFN-γ （P<0.01） and declined level of IL-6 （P<0.01） in the peripheral blood. Compared with the cisplatin group， the Shasheng Maidong Tang+cisplatin group presented elevated level of IFN-γ （P<0.01） and lowered level of IL-6 （P<0.01） in the peripheral blood. Compared with the model group， the cisplatin group and the Shasheng Maidong Tang+cisplatin groups showed down-regulated mRNA levels of JAK2 and STAT3 （P<0.01） and up-regulated mRNA level STAT1 （P<0.01）. Compared with the cisplatin group， the Shasheng Maidong Tang+cisplatin group presented down-regulated mRNA levels of JAK2 and STAT3 （P<0.01） and up-regulated mRNA level of STAT1 （P<0.01）. Compared with the model group， the cisplatin group and the Shasheng Maidong Tang+cisplatin group showed down-regulated protein levels of JAK2 （P<0.01）， Bcl-2 （P<0.01）， PIM1 （P<0.01）， and STAT3 （P<0.05）， and up-regulated protein level of Caspase-3 （P<0.01）. Compared with the cisplatin group， Shasheng Maidong Tang+cisplatin group presented down-regulated protein levels of JAK2 （P<0.01）， Bcl-2 （P<0.01）， PIM1 （P<0.01）， STAT3 （P<0.05）， and up-regulated protein level of Caspase-3 （P<0.01）. The Bcl-2 and PIM1 expression results obtained by immunohistochemistry were consistent with those of Western blot. ConclusionShasheng Maidong Tang may enhance the efficacy of chemotherapy in the mouse model of Lewis lung cancer by regulating the JAK2/STAT3 signaling pathway.

ObjectiveTo explore the molecular mechanisms by which serum containing Gegen Qinlian Tang （GQT） inhibits glycolysis and enhances chemotherapy sensitivity in 5-fluorouracil （5-FU）-resistant colorectal cancer （CRC） cells based on the cyclin-dependent kinase 16 （CDK16）/MYC proto-oncogene （MYC） pathway. MethodsHCT-116/5-FU cells were treated with different concentrations （5%， 10%， 20%， 30%） of GQT-containing serum. Cell viability and 5-FU sensitivity were assessed using the cell counting kit-8 （CCK-8） assay， and the experimental concentrations of 5-FU and GQT for subsequent experiments were determined. Cell proliferation and apoptosis under individual 5-FU， GQT， and combined 5-FU + GQT treatments were evaluated using 5-ethynyl-2′-deoxyuridine （EDU） staining and annexin V-FITC/PI double staining， respectively. Glucose consumption， adenosine triphosphate （ATP） production， and lactate levels were measured by colorimetric assays. Expression levels of glycolysis-related proteins， CDK16， MYC， and phosphorylated MYC were detected by Western blot. Co-immunoprecipitation （CoIP） was used to examine the protein interaction between CDK16 and MYC， and cycloheximide （CHX） treatment was applied to assess the effect of CDK16 overexpression on MYC protein stability. ResultsCCK-8 assays showed that 2.5 mg·L^-1 5-FU significantly inhibited HCT-116 cell viability in a dose-dependent manner. In HCT-116/5-FU cells， significant inhibition was observed only at 5 mg·L^-1 5-FU （P<0.05）， which was used for model establishment. Compared with 5-FU alone， addition of 5% GQT-containing serum significantly suppressed HCT-116/5-FU cell viability （P<0.05）， with stronger inhibition at higher serum concentrations. Thus， 5% GQT-containing serum was used in subsequent experiments. Compared with the control group， 5-FU， GQT， and 5-FU + GQT treatments all significantly reduced cell proliferation （P<0.05） and increased apoptosis （P<0.01）. The 5-FU + GQT combination showed superior inhibition of proliferation compared with 5-FU or GQT alone （P<0.01）， accompanied by more pronounced reductions in glucose consumption， ATP production， and lactate generation （P<0.01）. Additionally， compared with control， 5-FU， and GQT groups， the 5-FU + GQT group exhibited stronger suppression of MYC and its phosphorylated forms （P<0.01） and greater inhibition of glycolytic enzymes， including hexokinase 2 （HK2）， 3-phosphoinositide-dependent protein kinase 1 （PDK1）， lactate dehydrogenase A （LDHA）， and pyruvate kinase M2 （PKM2） （P<0.01）. CDK16， MYC， and MYC phosphorylation expression levels were significantly downregulated in the 5-FU + GQT group compared with the 5-FU group （all P<0.01）. MYC protein stability decreased in a time-dependent manner in the 5-FU + GQT group （P<0.05）， which was rescued by CDK16 overexpression （P<0.05）. ConclusionGQT significantly enhances the sensitivity of HCT-116/5-FU cells to 5-FU， potentially by inhibiting CDK16 and thereby reducing MYC-mediated glycolysis.

ObjectiveTo explore the molecular mechanisms by which serum containing Gegen Qinlian Tang （GQT） inhibits glycolysis and enhances chemotherapy sensitivity in 5-fluorouracil （5-FU）-resistant colorectal cancer （CRC） cells based on the cyclin-dependent kinase 16 （CDK16）/MYC proto-oncogene （MYC） pathway. MethodsHCT-116/5-FU cells were treated with different concentrations （5%， 10%， 20%， 30%） of GQT-containing serum. Cell viability and 5-FU sensitivity were assessed using the cell counting kit-8 （CCK-8） assay， and the experimental concentrations of 5-FU and GQT for subsequent experiments were determined. Cell proliferation and apoptosis under individual 5-FU， GQT， and combined 5-FU + GQT treatments were evaluated using 5-ethynyl-2′-deoxyuridine （EDU） staining and annexin V-FITC/PI double staining， respectively. Glucose consumption， adenosine triphosphate （ATP） production， and lactate levels were measured by colorimetric assays. Expression levels of glycolysis-related proteins， CDK16， MYC， and phosphorylated MYC were detected by Western blot. Co-immunoprecipitation （CoIP） was used to examine the protein interaction between CDK16 and MYC， and cycloheximide （CHX） treatment was applied to assess the effect of CDK16 overexpression on MYC protein stability. ResultsCCK-8 assays showed that 2.5 mg·L^-1 5-FU significantly inhibited HCT-116 cell viability in a dose-dependent manner. In HCT-116/5-FU cells， significant inhibition was observed only at 5 mg·L^-1 5-FU （P<0.05）， which was used for model establishment. Compared with 5-FU alone， addition of 5% GQT-containing serum significantly suppressed HCT-116/5-FU cell viability （P<0.05）， with stronger inhibition at higher serum concentrations. Thus， 5% GQT-containing serum was used in subsequent experiments. Compared with the control group， 5-FU， GQT， and 5-FU + GQT treatments all significantly reduced cell proliferation （P<0.05） and increased apoptosis （P<0.01）. The 5-FU + GQT combination showed superior inhibition of proliferation compared with 5-FU or GQT alone （P<0.01）， accompanied by more pronounced reductions in glucose consumption， ATP production， and lactate generation （P<0.01）. Additionally， compared with control， 5-FU， and GQT groups， the 5-FU + GQT group exhibited stronger suppression of MYC and its phosphorylated forms （P<0.01） and greater inhibition of glycolytic enzymes， including hexokinase 2 （HK2）， 3-phosphoinositide-dependent protein kinase 1 （PDK1）， lactate dehydrogenase A （LDHA）， and pyruvate kinase M2 （PKM2） （P<0.01）. CDK16， MYC， and MYC phosphorylation expression levels were significantly downregulated in the 5-FU + GQT group compared with the 5-FU group （all P<0.01）. MYC protein stability decreased in a time-dependent manner in the 5-FU + GQT group （P<0.05）， which was rescued by CDK16 overexpression （P<0.05）. ConclusionGQT significantly enhances the sensitivity of HCT-116/5-FU cells to 5-FU， potentially by inhibiting CDK16 and thereby reducing MYC-mediated glycolysis.

Objective To understand the changing composition and antibiotic resistance of bacterial species in the clinical isolates from outpatient and emergency department(hereinafter referred to as outpatients)and inpatient children over time in various hospitals,and to provide laboratory evidence for rational antibiotic use.Methods The data on clinically isolated pathogenic bacteria and antimicrobial susceptibility of isolates from outpatients and inpatient children in the CHINET program from 2015 to 2021 were collected and analyzed.Results A total of 278 471 isolates were isolated from pediatric patients in the CHINET program from 2015 to 2021.About 17.1％of the strains were isolated from outpatients,primarily group A β-hemolytic Streptococcus,Escherichia coli,and Staphylococcus aureus.Most of the strains(82.9％)were isolated from inpatients,mainly SS.aureus,E.coli,and H.influenzae.The prevalence of methicillin-resistant S.aureus(MRSA)in outpatients(24.5％)was lower than that in inpatient children(31.5％).The MRSA isolates from outpatients showed lower resistance rates to the antibiotics tested than the strains isolated from inpatient children.The prevalence of vancomycin-resistant Enterococcus faecalis or E.faecium and penicillin-resistant S.pneumoniae was low in either outpatients or inpatient children.S.pneumoniae,β-hemolytic Streptococcus and S.viridans showed high resistance rates to erythromycin.The prevalence of erythromycin-resistant group A β-hemolytic Streptococcus was higher in outpatients than that in inpatient children.The prevalence of β-lactamase-producing H.influenzae showed an overall upward trend in children,but lower in outpatients(45.1％)than in inpatient children(59.4％).The prevalence of carbapenem-resistant Klebsiella pneumoniae(CRKpn),carbapenem-resistant Pseudomonas aeruginosa(CRPae)and carbapenem-resistant Acinetobacter baumannii(CRAba)was 14％,11.7％,47.8％in outpatients,but 24.2％,20.6％,and 52.8％in inpatient children,respectively.The prevalence of multidrug-resistant E.coli,K.pneumoniae,Proteus mirabilis,P.aeruginosa and A.baumannii strains was lower in outpatients than in inpatient children.The prevalence of fluoroquinolone-resistant E.coli,ESBLs-producing K.pneumoniae,ESBLs-producing P.mirabilis,carbapenem-resistant E.coli(CREco),CRKpn,and CRPae was lower in children in outpatients than in inpatient children,but the prevalence of CRAba in 2021 was higher than in inpatient children.Conclusions The distribution of clinical isolates from children is different between outpatients and inpatients.The prevalence of MRSA,ESBL,and CRO was higher in inpatient children than in outpatients.Antibiotics should be used rationally in clinical practice based on etiological diagnosis and antimicrobial susceptibility test results.Ongoing antimicrobial resistance surveillance and prevention and control of hospital infections are crucial to curbing bacterial resistance.

Objective To investigate the changing antibiotic resistance profiles of E.coli isolated from patients in the 52 hospitals participating in the CHINET program from 2015 to 2021.Methods Antimicrobial susceptibility was tested for clinical isolates of E.coli according to the unified protocol of CHINET program.WHONET 5.6 and SPSS 20.0 software were used for data analysis.Results Atotal of 289 760 nonduplicate clinical strains ofE.coli were isolated from 2015 to 2021,mainly from urine samples(44.7±3.2)％.The proportion of E.coli strains isolated from urine samples was higher in females than in males(59.0％vs 29.5％).The proportion of E.coli strains isolated from respiratory tract and cerebrospinal fluid samples was significantly higher in children than in adults(16.7％vs 7.8％,0.8％vs 0.1％,both P＜0.05).The isolates from internal medicine department accounted for the largest proportion(28.9±2.8)％with an increasing trend over years.Overall,the prevalence of ESBLs-producing E.coli and carbapenem resistant E.coli(CREco)was 55.9％and 1.8％,respectively during the 7-year period.The prevalence of ESBLs-producing E.coli was the highest in tertiary hospitals each year from 2015 to 2021 compared to secondary hospitals.The prevalence of CREco was higher in children's hospitals compared to secondary and tertiary hospitals each year from 2015 to 2021.The prevalence of ESBLs-producing E.coli in tertiary hospitals and children's hospitals and the prevalence of CREco in children's hospitals showed a decreasing trend over the 7-year period.The prevalence of CREco in secondary and tertiary hospitals increased slowly.Antibiotic resistance rates changed slowly from 2015 to 2021.Carbapenem drugs(imipenem,meropenem)were the most active drugs amongβ-lactams against E.coli(resistance rate≤2.1％).The resistance rates of E.coli to β-lactam/β-lactam inhibitor combinations(piperacillin-tazobactam,cefoperazone-sulbactam),aminoglycosides(amikacin),nitrofurantoin and fosfomycin(for urinary isolates only)were all less than 10％.The resistance rate of E.coli strains to antibiotics varied with the level of hospitals and the departments where the strains were isolated,especially for cefazolin and ciprofloxacin,to which the resistance rate of E.coli strains from children in non-ICU departments was significantly lower than that of the strains isolated from other departments(P＜0.05).The E.coli isolates from ICU showed higher resistance rate to most antimicrobial agents tested(excluding tigecycline)than the strains isolated from other departments.The E.coli strains isolated from tertiary hospitals showed higher resistance rates to the antimicrobial agents tested(excluding tigecycline,polymyxin B,cefepime and carbapenems)than the strains from secondary hospitals and children's hospitals.Conclusions E.coli is an important pathogen causing clinical infection.More than half of the clinical isolates produced ESBL.The prevalence of CREco is increasing in secondary and tertiary hospitals over the 7-year period even though the overall prevalence is still low.This is an issue of concern.

Objective:To carry out carrier screening among people of childbearing age, detect the pathogenic genes of monogenic genetic diseases and analyze the carrier status of pathogenic variants, so as to provide fertility guidance and intervention measures for high-risk families.Methods:From August 2022 to August 2023, 1 533 families of childbearing age who met the criteria were recruited in the Chinese PLA General Hospital, including a total of 3 044 subjects. According to the standard enrollment procedure, 223 genes (197 autosomal recessive genes and 26 X-linked genes) of the subjects were tested. According to the screening results, genetic counseling and fertility guidance were provided to the subjects. Invasive prenatal diagnosis was performed for high-risk couples (both couples being carriers of the same autosomal recessive disease gene or the woman was a carrier of X-linked disease gene), and their pregnancy pattern, outcome and offspring phenotype were followed up.Results:(1) A total of 3 044 cases from 1 511 couples and women of childbearing age from 22 families were included for carrier screening. Totally 1 503 families chose simultaneous screening and 30 families chose sequential screening out of the 1 533 families. Among the 3 044 subjects, 1 603 individuals carried at least one pathogenic or likely pathogenic variant, and the overall carrier rate was 52.66% (1 603/3 044). A total of 2 292 pathogenic or likely pathogenic variants were detected, and 0.75 variants (2 292/3 044) were detected per capita. (2) The three genes with the highest carrier rates were GJB2 (8.67%, 264/3 044), CYP21A2 (3.19%, 97/3 044) and PAH (3.09%, 94/3 044). There were 32 genes with a carrier rate ≥1/200, 17 genes with a carrier rate ≥1/100, and 7 genes with a carrier rate ≥1/50. (3) Thirty-eight high-risk families were identified. After excluding G6PD gene mutation, there were 33 high-risk families, of which 25 couples were carriers of the same autosomal recessive gene, 9 women were carriers of X-linked gene, and 1 family was double high-risk couple with both autosomal recessive and X-linked gene. After further excluding the GJB2 c.109G>A mutation, 21 high-risk families were identified. Preimplantation genetic testing for monogenic disease was performed in 12 families after genetic counseling. Prenatal diagnosis was completed in 4 out of 5 high-risk families who conceived naturally. Two fetuses carried the parental variants and terminated the pregnancy, one fetus did not carry the parental variants but was induced due to trisomy 21 syndrome, and one fetus was a carrier of congenital disorders of glycosylation type 1a.Conclusions:Carrier screening effectively identifies high-risk genetic disease families and provides reproductive guidance to prevent the birth of affected children. However, establishing multidisciplinary team is essential for managing complex cases. Implementation should prioritize prenatal institutions with genetic counseling or diagnostic expertise for monogenic disorders or established referral networks.

Objective:To develop a treatment-related quality of life scale for Chinese patients with multiple myeloma (MM) and to test its reliability and validity.Methods:The initial scale was constructed through a literature search, Delphi expert correspondence, and cognitive testing. This study conducted a preliminary survey of 379 patients with MM and a formal survey of 865 patients from the hematology departments of 155 hospitals nationwide from February 2024 to March 2024. The final scale was obtained after conducting item analysis and reliability and validity tests on the initial scale.Results:The constructed scale contains 36 items covering six domains: physiological, psychological, social, treatment side effects, general health, and others. In the preliminary survey, the Cronbach’s alpha coefficient of each item ranged from 0.597 to 0.939, and the test-retest reliability was 0.747 ( P<0.001). Exploratory factor analysis extracted eight common factors with a cumulative variance contribution of 60.058%. In the formal survey, the Cronbach’s alpha coefficient of each item ranged from 0.484 to 0.930, and the test-retest reliability was 0.835 ( P<0.001). Confirmatory factor analysis revealed a comparative fit index of 0.750, a root-mean-square error of approximation of 0.090, and a root-mean-square residual of 0.067. Conclusion:The treatment-related quality of life scale for Chinese patients with MM designed in this study exhibited good reliability and validity, reflecting the impact of treatment on the quality of life of patients. This scale can provide a reference to clinicians for assessing the disease status of patients.

Objective:To reassess the pathogenicity of copy number variants (CNVs) involving chromosomal microdeletions and microduplications classified as variants of uncertain significance (VUS).Methods:This retrospective study analyzed 1 882 pregnant women who underwent invasive prenatal diagnosis for chromosomal microarray analysis (CMA) at the First Medical Center, Chinese PLA General Hospital between January 1, 2018, and December 31, 2022. The results were classified according to the American College of Medical Genetics and Genomics guidelines, with 82 fetuses rated as VUS selected for the study. We analyzed invasive prenatal diagnostic indications, followed up on fetal ultrasound findings, parental origin identification results, and pregnancy outcomes, and reclassified VUS CNVs based on the latest evidence. Descriptive statistical analysis was applied to the data.Results:(1) Among the 82 fetuses with VUS CNVs, prenatal diagnostic indications included fetal structural abnormalities detected by ultrasound (21 cases, 25.6%), abnormal non-invasive prenatal testing (NIPT) results (12 cases, 14.6%), high-risk serum screening (seven cases, 8.5%), advanced maternal age (≥35 years at expected delivery, 28 cases, 34.1%), and other indications (14 cases, 17.1%). Sixteen cases (19.5%) exhibited abnormal phenotypes, with seven pregnancies terminated due to severe structural abnormalities detected by prenatal ultrasound. Seventy-five live births were followed up for 25 (13-66) months. (2) Among the 82 cases, five fetuses had two VUS CNVs detected by CMA, while the remaining 77 had only one, totaling 87 VUS CNVs. Of these, 63 (72.4%) were chromosomal microduplications and 24 (27.6%) were chromosomal microdeletions. The size of the CNV segments ranged from 0.85 (0.05-5.61) Mb, with 82 segments less than 2 Mb. Parental origin identification was refused by 44 cases (53.7%), while 38 (46.3%) underwent the test, revealing eight (21.0%) de novo variants and 30 (78.9%) inherited from either parent (12 maternal and 18 paternal). (3) Among the 87 VUS CNVs, the ratings of 11 CNVs (12.6%) changed after re-evaluation. This included one 4p16.2 microdeletion and two 15q11.2 microdeletions being upgraded to pathogenic, one 16p13.11 microduplication being upgraded to likely pathogenic, one Xp22.31 microduplication and two 2q13 microdeletions being downgraded to likely benign, and four Xp22.31 microduplications being downgraded to benign. (4) Among the 16 fetuses with abnormal phenotypes, seven with prenatal abnormalities terminated pregnancies, including six with structural abnormalities and one with severe fetal growth restriction. After re-evaluation, one case was upgraded to pathogenic, while six remained VUS. Nine live births with postnatal abnormal phenotypes showed no change in classification after re-evaluation. Among the 66 cases (80.5%) without abnormal phenotypes, 10 had their classifications changed after re-evaluation. Conclusions:Fetuses with VUS CNVs often exhibit no significant abnormal phenotypes and have a relatively favorable prognosis, however, further floow-up is still needed. Parental origin identification can provide valuable insights for genetic counseling.