Functional dyspepsia （FD） is a prioritized disease category where traditional Chinese medicine （TCM） demonstrates distinct therapeutic advantages. The current western medicine treatment for FD is mainly based on proton pump inhibitors and prokinetic agents， with digestive enzymes， probiotics and antidepressants serving as adjuvant medication， yet such therapies still have certain limitations. TCM treatment for FD includes oral administration of Chinese herbal formulas and Chinese patent medicines， as well as external TCM therapies such as acupuncture and moxibustion， acupoint application， hot medicinal compress therapy， rubbing with ointment， medicinal iontophoresis， auricular acupoint therapy and tui na （Chinese medical massage）. The combined treatment of FD with integrated TCM and western medicine can significantly improve clinical effectiveness and reduce adverse reactions. The common mechanisms underlying the therapeutic effects of both TCM and western medicine revolve around the core pathological processes of FD， mainly focusing on restoring gastrointestinal motility， regulating the levels of brain-gut peptides， modulating intestinal microecology， and ameliorating inflammatory status. The differential mechanisms lie in the precise targeting feature of western medicine versus the holistic-regulating and multi-target characteristics of TCM， and the two approaches exert a synergistic effect to enhance efficacy. This paper proposes to leverage the advantages of TCM in holistic regulation and the strengths of western medicine in targeted treatment， so as to provide personalized and comprehensive treatment regimens for FD patients.

ObjectiveThe accuracy of Y-chromosome haplogroup assignment is crucial for tracing paternal lineage in male samples. With the advancement of high-throughput sequencing technologies, high-density Y-SNP genotyping from whole-genome or array-based data has become a standard method for determiningY-chromosome haplogroups. This study systematically evaluated the performance of 4 commonly used high-density SNP genotyping systems—namely, the Global Screening Array (GSA), Chinese Genotyping Array (CGA), Affymetrix array, and the 1240K capture panel—for haplogroup assignment. This work provides a reference for data comparison across different systems. MethodsWe extracted genotype data for the 4 Y-SNP panels from 30× whole-genome sequencing (WGS) data of 1 590 male samples from the 1000 Genomes Project. Additionally, GSA array genotype data from 384 relative pairs (spanning 1st- to 12th-degree relationships) from 109 Chinese Han families were collected. Haplogroup assignment was performed using Y-LineageTracker v1.3.0 software. We assessed the concordance and resolution of haplogroup assignments between the four Y-SNP panels and the WGS data. The consistency and resolution of haplogroup assignments were also evaluated for both the 1000 Genomes Project samples and the 109 family samples collected in this study. Furthermore, the impact of varying numbers of Y-SNPs on haplogroup assignment was examined. ResultsThe GSA and CGA panels demonstrated superior resolution and discrimination of haplogroup subclades compared with the other two panels. The haplogroup assignments from the GSA, CGA, and 1240K panels showed high concordance with WGS data, with consistency rates exceeding 88.70%, whereas the Affymetrix platform exhibited a significantly lower consistency rate of 61.89%. Specifically, the GSA and CGA panels consistently demonstrated superior performance compared with the other two panels in the assignment of haplogroups O-M175 and H-L901, achieving complete concordance (100%) for both haplogroups. In contrast, the Affymetrix panel erroneously assigned all individuals belonging to haplogroup O-M175 to haplogroup K2-M526. Furthermore, its accuracy for haplogroup H-L901 was exceedingly low, at merely 1.41%. This poor performance was characterized by the misassignment of 98.59% of H-L901 samples—specifically, 1.41% to J-M304 and a predominant 97.18% to F-M89. For haplogroup R-M207, all four panels exhibited uniformly high levels of consistency, with concordance values exceeding 94.00%. Notably, for haplogroup E-M96, the 1240K and Affymetrix panels outperformed the GSA and CGA panels in terms of concordance, representing the first instance in which these two panels surpassed the latter. Conversely, for haplogroups J-M304, Q-M242, and I-M170, all 4 panels showed relatively elevated misclassification rates, with the Affymetrix array demonstrating the poorest overall performance. None of the four panels showed any discordant haplogroup assignments among the familial relative pairs analyzed. A positive correlation was observed between the number of Y-SNPs (ranging from 1 000 to 10 000) and classification consistency; however, classification consistency plateaued when the number of Y-SNPs exceeded 10 000. Furthermore, a random sampling analysis conducted on the GSA and CGA panels demonstrated that the haplogroup misclassification rate exhibited negligible fluctuation across the Y-SNP range of 500 to 1 000. Conversely, a marked enhancement in classification consistency was observed as the number of markers increased from 1 000 to 5 000, ultimately reaching a plateau within the interval of 5 000 to 8 000 markers. ConclusionThese findings indicate that the GSA and CGA panels provide high resolution and concordance, delivering reliable Y-haplogroup assignment for forensic investigations.

ObjectiveThe accuracy of Y-chromosome haplogroup assignment is crucial for tracing paternal lineage in male samples. With the advancement of high-throughput sequencing technologies, high-density Y-SNP genotyping from whole-genome or array-based data has become a standard method for determiningY-chromosome haplogroups. This study systematically evaluated the performance of 4 commonly used high-density SNP genotyping systems—namely, the Global Screening Array (GSA), Chinese Genotyping Array (CGA), Affymetrix array, and the 1240K capture panel—for haplogroup assignment. This work provides a reference for data comparison across different systems. MethodsWe extracted genotype data for the 4 Y-SNP panels from 30× whole-genome sequencing (WGS) data of 1 590 male samples from the 1000 Genomes Project. Additionally, GSA array genotype data from 384 relative pairs (spanning 1st- to 12th-degree relationships) from 109 Chinese Han families were collected. Haplogroup assignment was performed using Y-LineageTracker v1.3.0 software. We assessed the concordance and resolution of haplogroup assignments between the four Y-SNP panels and the WGS data. The consistency and resolution of haplogroup assignments were also evaluated for both the 1000 Genomes Project samples and the 109 family samples collected in this study. Furthermore, the impact of varying numbers of Y-SNPs on haplogroup assignment was examined. ResultsThe GSA and CGA panels demonstrated superior resolution and discrimination of haplogroup subclades compared with the other two panels. The haplogroup assignments from the GSA, CGA, and 1240K panels showed high concordance with WGS data, with consistency rates exceeding 88.70%, whereas the Affymetrix platform exhibited a significantly lower consistency rate of 61.89%. Specifically, the GSA and CGA panels consistently demonstrated superior performance compared with the other two panels in the assignment of haplogroups O-M175 and H-L901, achieving complete concordance (100%) for both haplogroups. In contrast, the Affymetrix panel erroneously assigned all individuals belonging to haplogroup O-M175 to haplogroup K2-M526. Furthermore, its accuracy for haplogroup H-L901 was exceedingly low, at merely 1.41%. This poor performance was characterized by the misassignment of 98.59% of H-L901 samples—specifically, 1.41% to J-M304 and a predominant 97.18% to F-M89. For haplogroup R-M207, all four panels exhibited uniformly high levels of consistency, with concordance values exceeding 94.00%. Notably, for haplogroup E-M96, the 1240K and Affymetrix panels outperformed the GSA and CGA panels in terms of concordance, representing the first instance in which these two panels surpassed the latter. Conversely, for haplogroups J-M304, Q-M242, and I-M170, all 4 panels showed relatively elevated misclassification rates, with the Affymetrix array demonstrating the poorest overall performance. None of the four panels showed any discordant haplogroup assignments among the familial relative pairs analyzed. A positive correlation was observed between the number of Y-SNPs (ranging from 1 000 to 10 000) and classification consistency; however, classification consistency plateaued when the number of Y-SNPs exceeded 10 000. Furthermore, a random sampling analysis conducted on the GSA and CGA panels demonstrated that the haplogroup misclassification rate exhibited negligible fluctuation across the Y-SNP range of 500 to 1 000. Conversely, a marked enhancement in classification consistency was observed as the number of markers increased from 1 000 to 5 000, ultimately reaching a plateau within the interval of 5 000 to 8 000 markers. ConclusionThese findings indicate that the GSA and CGA panels provide high resolution and concordance, delivering reliable Y-haplogroup assignment for forensic investigations.

Objective To investigate the epidemiological characteristics and changing trend of typhus in Shaanxi Province from 2005 to 2023 to provide a scientific basis for its prevention and control. Methods Excel 2007, SPSS 25.0, Joinpoint 4.9.1.0, and Geoda 1.6 were used for data collection and statistical analysis. Super Map was used for data visualization to describe the changing characteristics of the disease. Results A total of 394 typhus cases were reported in Shaanxi Province from 2005 to 2023. The average annual incidence of typhus was 0.054/100 000, showing a dynamic fluctuation trend(AAPC=-3.3, t=-0.3, P>0.05). The cases were mainly concentrated in Baoji, Hanzhong and Xi′an, accounting for 78.68%. The incidence peak was from May to October, accounting for 64.21% of annual incidence. The epidemic season was from May to October and December. The incidence of the disease was concentrated in the 40-69 age group, accounting for 58.88%, and the sex was 1.07:1. The main occupation was farmers, accounting for 72.08%. The median time from onset to diagnosis was 7 days. Global spatial autocorrelation analysis showed that there were significant spatial autocorrelations in 11 years from 2005 to 2023(P<0.05). Local spatial autocorrelation analysis detected a total of 43“high-high”clustering areas, mainly concentrated in Baoji City. Conclusions The overall incidence of typhus in Shaanxi Province showed a dynamic fluctuation trend, with notable seasonal and regional aggregation. The incidence of typhus was higher in middle-aged and elderly people in rural areas. Surveillance should be strengthened in typhus endemic areas in summer and autumn, and health education should be conducted for key population to form good health habits and reduce the incidence of typhus.

Objective To establish a standardized quality criterion for the formula of the Liuwei Runfu oil recipe. Methods The qualitative identification of the components, such as Cannabis sativa, Ligusticum chuanxiong, Angelica sinensis, Coix lacryma-jobi, and Glycyrrhiza uralensis, was conducted by thin layer chromatography （TLC）. The concentration of Senkyunolide A, ligustilide, and linoleic acid was determined by high-performance liquid chromatography （HPLC）. Results The TLC identification results demonstrated excellent differentiation and high selectivity, without any disruption from the negative samples. The reference standard for Senkyunolide A exhibited excellent linearity in the range of 25 to 300 µg （r=0.9999）, with an average recovery rate of 102.3% and a relative standard deviation （RSD） of 2.3%. The ligustilide reference standard exhibited strong linearity between the concentrations of 0.6875 and 8.25 µg （r=0.9993）, with an average recovery rate of 100.1% and a relative standard deviation （RSD） of 2.8%. The linoleic acid reference standard demonstrated strong linear correlation within the range of 2.8125 to 33.75 µg （r=0.9990）, with an average spiking recovery rate of 102.7% and a relative standard deviation （RSD） of 1.7%. Conclusion The established method with strong specificity was simple，accurate，reliable，which coulod provide a reference for the quality control of the Liuwei Runfu oil recipe.

Objective: To investigate an outbreak of acute gastroenteritis at a vocational and technical school in Shaanxi Province in 2024, ao as to provide the reference for the handling of school outbreaks. Methods: The conducted case searches, individual case investigations, and on-site hygienic investigations were established in accordance with the Guidelines on outbreak investigation, prevention and control of Norovirus infection (2015). The potential risk factors were analyzed by case-control study. Anal swab samples from cases and all canteen staff, as well as environmental swab samples were collected to detect common intestinal pathogens. All reserved food samples in canteen were collected to test for common pathogenic bacteria. Results: From October 26 to November 5, 2024, a cumulative total of 53 cases were reported, with an attack rate of 1.47%. The main clinical symptoms included vomiting (83.02%), abdominal pain (56.60%), diarrhea (30.19%), and fever (26.42%). The epidemic curve suggested an intermittent common-source outbreak, with no obvious clustering characteristics in terms of the population and spatial distribution of cases. The case-control analysis revealed that having dinner at the rice-with-dishes-on-top stall on the first floor of the canteen on October 28 was a risk factor for illness (OR=11.025, 95%CI: 2.186-55.601). GⅡ norovirus was detected as positive in anal swab samples from 6 cases and 2 asymptomatic infected canteen staff, as well as in 3 environmental swab samples from the rice-with-dishes-on-top stall. The test results for common pathogenic bacteria in the reserved food samples were all negative. Conclusions This outbreak was caused by an acute gastroenteritis epidemic induced by GⅡ norovirus infection, with a transmission pattern consistent with an intermittent homologous outbreak. The possible source of infection was asymptomatic infected canteen staff mainly through foodborne trasmission, and having meals at the rice-with-dishes-on-top stall was the primary risk factor for this outbreak.

Objective:To investigate the feasibility and safety of intracardiac echocardiography(ICE)combined with total three-dimensional(T3D)technique in zero-fluoroscopy individualized transseptal puncture.Methods:A total of 112 patients with atrial fibrillation who underwent radiofrequency ablation in Yongchuan Hospital Affiliated to Chongqing Medical University from April 2021 to March 2024 were enrolled,and according to the method for transseptal puncture,they were randomly divided into ICE+T3D group with 56 patients and ICE group with 56 patients.The two groups were analyzed in terms of baseline data,time to atrial reconstruc-tion,time to coronary sinus electrode placement,frequency of ICE probe adjustment during transseptal puncture,duration of transsep-tal puncture,pretreatment time before ablation,incidence rate of complications,and the duration and dosage of X-ray exposure.Results:There were no significant differences in baseline data between the two groups.Compared with the ICE group,the ICE+T3D group had a significantly lower frequency of ICE probe adjustment during transseptal puncture(1.70±0.63 vs.5.34±1.71,P<0.001)and the duration of transseptal puncture(3.66±1.09 min vs.4.90±1.92 min,P<0.001).Compared with the ICE group,the ICE+T3D group had significantly longer time to atrial reconstruction(22.44±3.13 min vs.12.34±2.12 min,P<0.001)and pretreatment time be-fore ablation(49.41±3.52 min vs.37.65±4.04 min,P<0.001).In the ICE+T3D group,43(76.8%)patients achieved zero radiation during pretreatment before ablation,and 13 patients received X-ray due to the difficulty in catheter placement;compared with the ICE group,the ICE+T3D group had a significantly shorter duration of X-ray exposure(1.68±0.72 min vs.3.14±1.95 min,P=0.010)and a significantly lower dosage of X-ray exposure(6.28±2.78 mGy vs.23.85±21.32 mGy,P=0.004).During the stage of transseptal punc-ture,all patients in the ICE+T3D group achieved zero radiation,while 45 patients(80.4%)in the ICE patients received X-ray.In terms of complications,there were no life-threatening complications such as cardiac tamponade,perforation of the aorta by mistake,and embolization in either group,while there was one case(1.8%)of vascular complications in each group.Conclusions:ICE combined with T3D after integration and improvement is a safe and reliable procedure for zero-fluoroscopy individualized transseptal puncture.

To address the economic challenge associated with acquiring labeled sample data for white paeony,a semi-supervised learning model based on metric learning and consistency constraints was proposed to predict the content of trace heavy metal pollutants Pb and Cd in white paeony.The model was comprised of two multi-task deep learning networks with the same structure but different parameters,namely the teacher model and the student model.The multi-task deep learning network utilized metric learning within the classification branch to ensure the clustering of different samples,thereby enhancing the predictive performance of the regression branch for heavy metal content in white peony samples.The student model effectively utilized unlabeled data by constraining the consistency of outputs between the teacher and student models.Experimental results showed that the proposed multi-task deep learning network combined with the regression subnetwork model significantly reduced the average relative errors of Pb and Cd in the test set to 7.01%and 8.16%when predicting trace heavy metal pollutants in paeony.Furthermore,after integrating the metric learning loss function-constrained and the consistency-constrained teacher-student semi-supervised learning model,the same samples exhibited clustering phenomena,with faster convergence speed and convergence values closer to 0 in the loss function,reducing the average relative errors of Pb and Cd in the test set to 3.32%and 4.77%.The above results indicated that the model proposed in this work could effectively enhance the accuracy and reliability of LIBS in quantitative analysis of trace heavy metal elements in paeony,strengthening the advantages of LIBS in practical applications for quality supervision in the traditional Chinese medicine market.

Standardized clinical trial reporting is crucial for ensuring the scientific validity,reproducibility,and clinical translational value of reported results.The Consolidated Standards of Reporting Trials(CONSORT)statement,an internationally recognized guideline for randomized controlled trials(RCTs),has become an important reference standard for writing research papers in medicine since the 2010 version of CONSORT was published.With advancements in scientific research methodologies and the emergence of new forms of clinical trials,the CONSORT working group released an updated version in April 2025,published in journals such as The BMJ.Herein,we provide a systematic interpretation of the core revisions of CONSORT 2025,as well as a comparison with CONSORT 2010 to highlight the key differences.By providing practical,example-based recommendations,we aim to help domestic researchers apply the new guidelines efficiently,thereby improving the quality of clinical trial reports authored by domestic researchers.