ObjectiveThis study aims to explore the potential of different orders of magnitude single-nucleotide polymorphism (SNP) locus combinations for predicting distant kinship relationships. A high-density SNP locus set was constructed, and a comprehensive assessment of its inference capability was conducted. MethodsFirstly, we selected three commercial chip panels, CGA (Chinese genotyping array, Illumina), GSA (Global screening array, Illumina), Affy (23MF_V2 high-density SNP array, Affymetrix) and merged them after quality control, forming a high-density SNP locus panel(1 180 k). Secondly, we selected 161 samples and collected their peripheral blood samples by using whole-genome sequencing technology. Within this sample population, the levels of kinship relationships fully covered the range from level 1 to level 9, and the number of kinship pairs at each level was consistently maintained at over 50 pairs. From 161 samples data of whole-genome sequencing, the 1 180 k locus set was extracted, which is referred to as the high-density SNP locus set in the following text. The kinship inference was conducted using the identity-by-descent (IBD) algorithm with the selected optimal parameters. To comprehensively evaluate the performance of the high-density SNP locus set in kinship inference, we compared it with the three commercial chip panels, the intersection of these three chip loci, and the control sets constructed by randomly reducing the number of the high-density SNP locus set. Based on the changes in the IBD lengths, as well as the dynamic trends in prediction accuracy, we conducted a scientific assessment of the kinship inference capability of the high-density SNP locus set. ResultsAfter screening, a set of 1 184 334 autosomal SNPs was obtained. During the process of screening the optimal IBD length threshold, the result revealed that 0 cM, 1 cM, and 2 cM all demonstrated good applicability. However, to avoid the issue of a large amount of redundant information caused by setting a too low IBD length threshold, this study ultimately selected 2 cM as the optimal threshold. Compared with the average results of three chip panels, the high-density SNP locus set increased the total IBD length and the average IBD length across levels 1-9; the accuracy of the confidence interval for level 8 was 70.97%, which represented a 3.50% improvement; the average confidence interval accuracy for levels 1-8 was 91.39%, representing a 1.00% increase; and the false negative rates at levels 8 and 9 were reduced by 2.42% and 6.76%, respectively. The system efficacy of the high-density SNP locus set for kinship inference of first to eighth degree relationships reached 98.91%. Through random reduction of the high-density SNP locus set results, it is found that increasing the number of SNPs with the panel, the detection efficiency of IBD length showed a significant upward trend. At the same time, the overall trend in the accuracy of kinship relationship prediction as well as the confidence interval accuracy also indicated that both metrics steadily increased with the addition of more loci. ConclusionThe results show that the high-density SNPs panel significantly enhances the efficacy of distant kinship inference, accurately covering kinship degrees, with the average confidence interval accuracy for first to eighth degree relationships stably above 90%. The study finds that increasing the number of SNPs panel can improve the ability to predict distant kinship.

Objective To analyze the influencing factors of malaria infection of labor service exported to overseas in Langfang City, in order to establish a visualization tool to assist clinicians in predicting the risk of malaria. Methods A total of 4 774 expatriate employees of the Nibei Pipeline Project of the Pipeline Bureau from October 2021 to August 2023 were taken as the subjects, and the gender, age, overseas residence area and Knowledge of malaria controlscores of the study subjects were investigated by questionnaire survey, and the possible risk factors of malaria were screened by logistic regression model. At the same time, the nomogram prediction model was established, and the subjects were divided into the training group and the validation group at a ratio of 2:1, and the area under the curve (ROC) and the decision curve were plotted to evaluate the prediction ability and practicability of the prediction model in this study. Results Among the 4 774 study subjects, 96 cases of malaria occurred, and the detection rate was 2.01%. Junior school （OR=1.723，95% CI:1.361-2.173）， and residence in rural areas（OR=2.091，95%CI:1.760 -3.100）were risk factors (OR>1), while protective measures（OR=0.826，95% CI : 0.781 - 0.901） and high malaria education scores （OR=0.872，95% CI : 0.621 - 0.899）were protective factors.The nomogram prediction model results showed that the area under the curve of the nomogram prediction model in the training group was 0.94 (95% CI : 0.85 - 1.00), while the validation group was 0.93 (95% CI : 0.80 - 1.00). The results of the decision curve showed that when the threshold probability of the population was 0-0.9, the nomogram model was used to predict the risk of malaria occurrence with the highest net income. Conclusion The nomogram prediction model (including gender, education, region, protection and malaria education score) established and validated in this study is of great value for clinicians to screen high-risk patients with malaria.

BACKGROUND: Acupuncture has shown potential therapeutic benefits for individuals with simple obesity. However, some researchers argue that some of the effectiveness of acupuncture may be due to the placebo response. OBJECTIVE: To understand the placebo response of acupuncture treatment in simple obesity, a systematic review and meta-analysis was designed based on the comparison between sham acupuncture before and after treatment. SEARCH STRATEGY: Eight databases (PubMed, Web of Science, Cochrane Library, Embase, China National Knowledge Infrastructure, Wanfang Database, China Biology Medicine Database, and Chinese Scientific Journals Database) were searched from inception to August 1, 2023. The MeSH search terms comprised obesity and acupuncture. INCLUSION CRITERIA: Randomized controlled trials (RCTs) using sham or placebo acupuncture as a control in treating obesity were enrolled. DATA EXTRACTION AND ANALYSIS: Two researchers independently extracted data, and the results were cross-checked after completion. Each RCT's detailed sham/placebo acupuncture treatment protocol was assessed according to the SHam Acupuncture REporting guidelines. The revised Cochrane risk-of-bias tool for randomized trials and the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) system were used to determine the risk of bias and quality of evidence, respectively. Body mass index (BMI) was defined as the primary outcome. Anthropometric parameters and laboratory test parameters related to obesity were defined as secondary outcomes. We used standardized mean difference (SMD) with 95% confidence interval (CI) to calculate treatment effects of outcomes. RESULTS: Fifteen RCTs with a total of 1250 patients were included. The BMI significantly decreased after treatment in the sham acupuncture group compared to baseline (SMD 0.37, 95% CI 0.09-0.66; I² = 81%, random model; P < 0.01). Treatment duration (P = 0.02) and other interventions significantly impacted the placebo response rate (P = 0.00). CONCLUSION The placebo response of sham acupuncture was strong in the RCTs for simple obesity, and the effect sizes differed between various outcomes. The treatment duration and other interventions emerged as potential influencing factors for the placebo response of sham acupuncture. Please cite this article as: Liu KJ, Jiao RM, Ji J, Yao WW, Han CR, Zhao XY, Zhao JJ. Placebo response in sham acupuncture therapy trials for simple obesity: a systematic review and meta-analysis. J Integr Med. 2025; 23(3): 264-273.
Humans ; Acupuncture Therapy/methods* ; Obesity/therapy* ; Placebo Effect ; Placebos ; Randomized Controlled Trials as Topic

OBJECTIVE: Huachansu injection (HCSI), a promising anti-cancer Chinese medicine injection, has been reported to have the potential for reducing the toxicity of chemotherapy and improving the quality of life for colorectal cancer (CRC) patients. The objective of this study is to explore the synergistic and detoxifying effects of HCSI when used in combination with irinotecan (CPT-11). METHODS: To investigate the effect of HCSI on anti-CRC efficacy and intestinal toxicity of CPT-11, we measured changes in the biological behavior of LoVo cells in vitro, and anti-tumor effects in LoVo cell xenograft nude mice models in vivo. Meanwhile, the effect of HCSI on intestinal toxicity and the uridine diphosphate-glucuronosyltransferase 1A1 (UGT1A1) expression was investigated in the CPT-11-induced colitis mouse model. Subsequently, we measured the effect of HCSI and its 13 constituent bufadienolides on the expression of UGT1A1 and organic anion transporting polypeptides 1B3 (OATP1B3) in HepG2 cells. RESULTS: The combination index (CI) results showed that the combination of HCSI and CPT-11 exhibited a synergistic effect (CI < 1), which significantly suppressing the LoVo cell migration, enhancing G2/M and S phase arrest, and inhibiting tumor growth in vivo. Additionally, the damage to intestinal tissues was attenuated by HCSI in CPT-11-induced colitis model, while the increased expression of UGT1A1 in HepG2 cells and in mouse was observed. CONCLUSION The co-therapy with HCSI alleviated the intestinal toxicity induced by CPT-11 and exerted an enhanced anti-CRC effect. The detoxifying mechanism may be related to the increased expression of UGT1A1 and OATP1B3 by HCSI and its bufadienolides components. The findings of this study may serve as a theoretical insights and strategies to improve CRC patient outcomes. Please cite this article as: Jiang B, Meng ZY, Hu YJ, Chen JJ, Zong L, Xu LY, Zhang XQ, Zhang JX, Han YL. Huachansu injection enhances anti-colorectal cancer efficacy of irinotecan and alleviates its induced intestinal toxicity through upregulating UGT1A1-OATP1B3 expression in vitro and in vivo. J Integr Med. 2025; 23(5):576-590.
Irinotecan/therapeutic use* ; Animals ; Glucuronosyltransferase/genetics* ; Humans ; Colorectal Neoplasms/metabolism* ; Drugs, Chinese Herbal/therapeutic use* ; Mice, Nude ; Mice ; Up-Regulation/drug effects* ; Male ; Xenograft Model Antitumor Assays ; Mice, Inbred BALB C ; Hep G2 Cells ; Cell Line, Tumor ; Intestines/drug effects* ; Amphibian Venoms

Astragali Radix (AR), a traditional Chinese medicine (TCM), has demonstrated therapeutic efficacy against various diseases, including cardiovascular conditions, over centuries of use. While doxorubicin serves as an effective chemotherapeutic agent against multiple cancers, its clinical application remains constrained by significant cardiotoxicity. Research has indicated that AR exhibits protective properties against doxorubicin-induced cardiomyopathy (DIC); however, the specific bioactive components and underlying mechanisms responsible for this therapeutic effect remain incompletely understood. This investigation seeks to identify the protective bioactive components in AR against DIC and elucidate their mechanisms of action. Through network medicine analysis, astragaloside IV (AsIV) and formononetin (FMT) were identified as potential cardioprotective agents from 129 AR components. In vitro experiments using H9c2 rat cardiomyocytes revealed that the AsIV-FMT combination (AFC) effectively reduced doxorubicin-induced cell death in a dose-dependent manner, with optimal efficacy at a 1∶2 ratio. In vivo, AFC enhanced survival rates and improved cardiac function in both acute and chronic DIC mouse models. Additionally, AFC demonstrated cardiac protection while maintaining doxorubicin's anti-cancer efficacy in a breast cancer mouse model. Lipidomic and metabolomics analyses revealed that AFC normalized doxorubicin-induced lipid profile alterations, particularly by reducing fatty acid accumulation. Gene knockdown studies and inhibitor experiments in H9c2 cells demonstrated that AsIV and FMT upregulated peroxisome proliferator activated receptor γ coactivator 1α (PGC-1α) and PPARα, respectively, two key proteins involved in fatty acid metabolism. This research establishes AFC as a promising therapeutic approach for DIC, highlighting the significance of multi-target therapies derived from natural herbals in contemporary medicine.
Animals ; Doxorubicin/adverse effects* ; Saponins/administration & dosage* ; Isoflavones/pharmacology* ; Rats ; Cardiomyopathies/prevention & control* ; Mice ; Fatty Acids/metabolism* ; Myocytes, Cardiac/metabolism* ; Triterpenes/administration & dosage* ; Male ; Drugs, Chinese Herbal/administration & dosage* ; Humans ; Cardiotonic Agents/administration & dosage* ; Mice, Inbred C57BL ; Cell Line ; Astragalus Plant/chemistry* ; Astragalus propinquus

(+)-Strebloside, a significant bioactive compound isolated from the roots of Streblus asper Lour., demonstrates inhibitory effects against multiple malignancies. However, its specific function and underlying mechanistic pathways in Non-Hodgkin lymphoma (NHL) remain unexplored. This investigation sought to elucidate the role and potential mechanisms of (+)-strebloside-induced NHL cell death. The results demonstrated that (+)-strebloside significantly induced apoptosis and ferroptosis in NHL cells, including those from Raji cell-derived xenograft models. Mechanistic analyses revealed that (+)-strebloside enhanced six-transmembrane epithelial antigen of prostate 3 (STEAP3)-induced ferroptosis in NHL, and STEAP3 inhibition reduced the proliferation-inhibitory effects of (+)-strebloside. Furthermore, (+)-strebloside suppressed NHL proliferation through the mitogen-activated protein kinase (MAPK) pathway, and extracellular signal-regulated kinase (ERK) inhibition diminished the proliferation-inhibitory activity induced by (+)-strebloside. These findings indicate that (+)-strebloside presents promising therapeutic potential for NHL treatment.
Humans ; Ferroptosis/drug effects* ; Lymphoma, Non-Hodgkin/physiopathology* ; Cell Line, Tumor ; MAP Kinase Signaling System/drug effects* ; Animals ; Cell Proliferation/drug effects* ; Mice ; Apoptosis/drug effects* ; Membrane Proteins/genetics* ; Xenograft Model Antitumor Assays ; Male ; Mice, Nude

Objective To investigate the changing antimicrobial resistance profiles of Streptococcus pneumoniae isolates from children in Chongqing area from 2011 to 2022,and to provide evidence for rational use of antibiotics and prevention of nosocomial infections.Methods The clinical data of S.pneumoniae strains isolated from pediatric patients during 2011-2022 were retrospectively analyzed.Antimicrobial susceptibility testing was performed with commercial automated systems and E-test.The results were interpreted according to the breakpoints in CLSI document(2022 edition).Results A total of 26 668 strains of S.pneumoniae were isolated during the 12-year period.The proportion of S.pneumoniae was 16.0％in the total pathogenic bacterial isolates and 46.4％in all the gram-positive bacterial pathogens.S.pneumoniae strains were mainly isolated from respiratory specimens(97.1％),followed by blood samples(1.5％).The highest proportion of S.pneumoniae isolates was in infants(38.2％),followed by toddlers(32.4％),preschool age(22.9％),school age(5.6％),adolescents(0.6％)and neonates(0.4％).All of the 38 strains of nonmeningitis SS.pneumoniae(0.1％)isolated from cerebrospinal fluid were resistant to penicillin.Overall,35.7％and 32.4％of these strains were resistant to cefotaxime and meropenem,respectively.The majority of S.pneumoniae(99.9％,26 630/26 668)were nonmeningitis isolates.The prevalence of penicillin-susceptible(PSSP),-intermediate(PISP),and-resistant(PRSP)strains was 71.9％(16 083),25.1％(5 610),and 3.0％(674),respectively.The prevalence of PRSP in infants and preschool children was higher than that in other age groups.The nonmeningitis S.pneumoniae isolates showed higher than 95％resistance rate to erythromycin,clindamycin and tetracycline,but 0.2％,0.2％and 0.1％resistance rate to levofloxacin,moxifloxacin and rifampicin,respectively.No S.pneumoniae strains were found resistant to vancomycin or linezolid.Conclusions The proportion and antimicrobial resistance profiles of S.pneumoniae strains isolated from pediatric patients varied with age group and specimen type.The decreasing prevalence of PRSP may inform empirical treatment of S.pneumoniae infections in children in Chongqing area.

Objective:To compare the effects of standard cognitive behavioral therapy for insomnia (CBT-I) and enhanced cognitive behavioral therapy for insomnia(CBT-I Plus) in patients with chronic insomnia disorder comorbid anxiety or depressive symptoms.Methods:This prospective study included 148 patients with chronic insomnia disorder and anxiety/depression symptoms who were treated at the Sleep Disorder clinic of Shanghai Mental Health Center between July 2020 and August 2023. Participants (56 males, 92 females; aged 18-65 years, mean age 35.08±10.30 years) were randomly assigned in a 1∶2 ratio to the CBT-I group ( n=54) or CBT-I Plus group ( n=94). The CBT-I Plus group received additional treatments targeting anxiety and depressive symptoms. Treatment lasted 8 weeks, with assessment conducted at baseline, weeks 2, 4, and 8. Depression severity was measured using the 17-item Hamilton Depression Rating Scale (HAMD 17), anxiety severity with the Hamilton Anxiety Scale (HAMA), and sleep quality with the Pittsburgh Sleep Quality Index (PSQI). Paired sample t-tests were used to evaluate within-group changes, repeated-measures ANOVA compared treatment effects between groups, and ANCOVA was employed to adjust for confounding variables. Results:Significant reductions in PSQI, HAMD 17, and HAMA scores were observed in both groups after treatment: CBT-I group: PSQI ((14.15±2.54) vs. (7.50±3.35), t=13.25), HAMD 17 ((14.70±4.09) vs. (7.40±4.61), t=9.33), and HAMA ((14.94±4.11) vs. (5.56±3.67), t=12.38) (all P<0.001).CBT-I Plus group: PSQI ((14.87±3.01) vs. (7.19±3.86), t=18.75), HAMD 17 ((16.84±3.91) vs. (6.84±4.79), t=17.42), and HAMA ((15.57±3.93) vs. (6.10±4.57), t=18.39) (all P<0.001). After adjusting for HAMD 17 scores and medication use, no statistically significant between-group differences were observed in changes in PSQI, HAMD 17, and HAMA scores ( P>0.05). A significant time-by-group interaction was found for the PSQI daytime dysfunction subscale ( F=4.87, P<0.01). Conclusion:Both CBT-I and CBT-I Plus improve sleep and emotional symptoms in patients with chronic insomnia disorder and comorbid anxiety/depression symptoms. However, CBT-I Plus has no significant advantages over standard CBT-I. Further studies are needed to refine the timing and content of interventions.

BACKGROUND:Cervical spondylosis is a chronic degenerative disease that has become one of the most common and frequent diseases threatening human health.At present,the initial diagnosis of the cervical spine and its surrounding structures mainly relies on the interpretation of medical images by radiologists,which not only requires a high level of technical requirements for operators,but also has the disadvantages of strong subjectivity,high labor intensity,and low efficiency.With the rapid development of artificial intelligence technology,its powerful data processing and image recognition capabilities have shown broad application prospects in the medical field.Deep learning has also made certain progress in the research of spinal diseases.OBJECTIVE:To summarize the current status and research progress in the application of artificial intelligence technology in cervical spine imaging images in recent years,evaluating the performance of artificial intelligence models as well as future trends and challenges to be overcome.METHODS:The first author searched the relevant articles in WanFang,CNKI,and PubMed in June 2024.The Chinese search terms were"artificial intelligence,deep learning,cervical spine."English serach terms were"artificial intelligence,Al,cervical vertebrae,cervical."Finally,101 articles were included and analyzed.RESULTS AND CONCLUSION:(1)Artificial intelligence technology can realize automatic segmentation of cervical vertebrae and measurement of curvature change by segmentation,classification,landmarks recognition of medical image parts,detect cervical vertebral fracture,nerve root,and spinal cord type cervical spondylosis,identify cervical spine ossification of posterior longitudinal ligament,and predict post-surgery related risk factors and cervical vertebra maturation classification.(2)Although artificial intelligence technology has shown great potential in the field of cervical spine research,it is still in the early stages of exploration and rapid development,with unlimited room for development and innovation.

Objective:To analyze the epidemiological characteristics and immune effects of pertussis in Jiangxi Province from 2020 to 2023 and provide a reference basis for preventing and controlling pertussis in Jiangxi Province.Methods:The annual pertussis incidence data and population data of Jiangxi Province in the same period were derived from the China Disease Prevention and Control Information System, the population data for 2020 were derived from the seventh population census data of Jiangxi Province, and pertussis cases with PV immunization history were derived from the immunization program information system of Jiangxi Province. Descriptive epidemiological methods were used to analyze pertussis epidemic characteristics and PV immunization history in Jiangxi Province from 2020 to 2023. An expert modeler was used to construct the best time series model and perform seasonal decomposition. The chi-square test and Cochran-Armitage trend test were used for statistical analysis. Excel 2013 and SPSS 27.0 software were used for statistical analysis.Results:A total of 886 cases of pertussis were reported in Jiangxi Province from 2020 to 2023, with an average annual reported incidence rate of 0.49/100 000, showing a linear upward trend ( Z=121.80, P<0.001). The Winters' additive model was optimal to fit the monthly data with stable seasonality (Ljung-Box statistic Q=10.56, P=0.78), the average number of reported cases in August was higher than the annual average of 5.12. The top three cities with reported incidence rates were Pingxiang (1.11/100 000), Yichun (1.10/100 000), and Nanchang (0.73/100 000). The highest age composition of cases was in the under 1-year-old group (373 cases,42.10%). Under 1-year-old group, 5-9-years-old group, and ≥10-years-old group all showed an increasing trend in reported incidence year by year (all P<0.001), and the reported incidence rate of under 1-year-old group increased from 12.42/100 000 in 2020 to 48.85/100 000 in 2023. A total of 545 cases (61.51%) had a history of PV immunization. Four doses PV immunization was the main ones (44.92%, 398 cases) and the median ( Q1, Q3) interval from the last vaccination to onset was 4 (1,5) years. Conclusions:The reported incidence of pertussis in Jiangxi Province increased from 2020 to 2023. The cases are mainly concentrated in the under 1-year-old group. The rates of PV vaccination in pertussis cases was low, with more number of vaccine breakthrough infection cases with 4-doses PV vaccination. It has been suggested to continue doing the following: strengthening pertussis surveillance, improving the timeliness of pertussis vaccination, implementing the fifth dose as soon as possible for children over 6-year-old, strengthening the studies of vaccine breakthrough infection case, and optimizing the population immunity strategy of pertussis.