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.

The development of traditional Chinese medicine (TCM) diagnosis and treatment has undergone multiple paradigms, evolving from sporadic experiential practices to systematic approaches in syndrome differentiation and treatment and further integration of disease and syndrome frameworks. TCM is a vital component of the medical system, valued alongside Western medicine. Treatment based on syndrome differentiation embodies both personalized treatment and holistic approaches; however, the inconsistency and lack of stability in syndrome differentiation limit clinical efficacy. The existing integration of diseases and syndromes primarily relies on patchwork and embedded systems, where the full advantages of synergy between Chinese and Western medicine are not fully realized. Recently, driven by the development of diagnosis and treatment concepts and advances in analytical technology, Western medicine has been rapidly transforming from a traditional biological model to a precision medicine model. TCM faces a similar need to progress beyond traditional syndrome differentiation and disease-syndrome integration toward a more precise diagnosis and treatment paradigm. Unlike the micro-level precision trend of Western medicine, precision diagnosis and treatment in TCM is primarily reflected in data-driven applications that incorporate information at various levels, including precise syndrome differentiation, medication, disease management, and efficacy evaluation. The current priority is to accelerate the development of TCM precision diagnosis and treatment technology platforms and advance discipline construction in this area.

Objective A Social Care Needs Assessment Tool for Terminal Patients at Home is constructed and tested for its reliability and validity.Methods In view of the Social Ecosystem Theoiy,based on the semi-structured interviews,participatory observation and literature analysis of the social care needs of terminal patients at home,a questionnaire item pool was formed.Through 3 rounds of Delphi expert consultations,the initial version of the tool was formed.From April to December 2023,a convenient sampling method was used to select 504 terminal patients from 22 hospitals in 5 provinces as the research subjects.The reliability and validity of the tool were tested.Result The constructed tool in this study contained 3 dimensions:micro,meso,macro,with a total of 34 items.Cronbach's α of the tool was 0.966 and split-half reliability was 0.877;I-CVI at the item level was 0.875～1.000 and S-CVI/Ave was 0.989;the exploratory factor analysis results showed that the factors load of each dimension were greater than 0.4;the results of confirmatory factor analysis showed that the tool had good fitting degree.Conclusion The reliability and validity of the nursing-based social care needs assessment tool for terminal patients at home constructed in this study are good,and it can provide a valid tool for healthcare professionals to assess the home-based social care needs of terminal patients.

AIM To establish a quantitative analysis of multi-components by single-marker(QAMS)method for the simultaneous content determination of baicalin,baicalin,hesperidin,naringin,neohesperidin,rosinic acid,glycyrrhizin,ammonium glycyrrhizate and prehumetin in Tongxuan Lifei Pills.METHODS The analysis was performed on a 30 ℃ thermostatic SVEA C18 column(4.6 mm × 250 mm,5 μm),with the mobile phase comprising of acetonitrile-water(containing 0.1％phosphoric acid)flowing at 1.0 mL/min in a gradient elution manner,and the detection wavelength was set at 250 nm.Baicalin was used as an internal standard to calculate the relative correction factors of the other eight constituents,after which the content determination was made.RESULTS Nine constituents showed good linear relationships within their own ranges(r ≥ 0.999 1),whose average recoveries were 96.15％-101.58％with the RSDs of 0.75％-1.74％.The result obtained by QAMS approximated those obtained by external standard method.CONCLUSION This accurate,stable and reproducible method can be used for the quality control of Tongxuan Lifei Pills.

The incidence of non-alcoholic fatty liver disease(NAFLD)has been increasing annually.Current primary treatment strategies involve dietary modifications and increased physical activity to allevi-ate symptoms,yet there is a notable lack of targeted pharmacological interventions.Members of the micro RNA-29(miR-29)family(miR-29a,miR-29b,miR-29c)are known to play a critical regulatory role in lipid metabolism within hepatocytes;however,the underlying mechanisms remain to be elucidated.This study aims to identify the target genes and associated signaling pathways of the miR-29 family,thereby providing potential therapeutic targets for the development of NAFLD treatments.Firstly,the human liver cell line HepG2 was utilized as a model for adipogenic induction,and miR-29a/b/c-3p mimics were indi-vidually transfected.Through methods such as Oil Red O staining and triglyceride(TG)quantification,it was observed that the miR-29 family members significantly inhibited lipid accumulation in hepatocytes(P＜0.05).Subsequently,qRT-PCR and Western blot were utilized to detect the expression levels of ad-ipogenic marker genes(fatty acid synthase(FAS),acetyl coa carboxylase(ACACA),stearoyl-coen-zyme a desaturase 1(Scd 1))and autophagy marker genes(sequestosome 1(SQSTM1,also known as p62),autophagy related gene 5(Atg5)),and the results indicated that the members of the miR-29 fam-ily could significantly suppress the expression of FAS,ACACA,Scd1,and p62 genes in hepatocytes,while significantly enhancing the level of the Atg5 gene.Further investigations using signaling pathway activity analysis and dual luciferase reporter assays confirmed that the miR-29a/b/c could suppress the mTOR signaling pathway activity and directly interact with the ten-eleven translocation 2(TET2)gene.Finally,co-transfection experiments were performed to examine the potential synergistic effects among the miR-29-3p family members,and the results demonstrated that co-transfection of miR-29 family members more effectively inhibited lipid droplet accumulation in HepG2 cells and further suppressed the expression of the target gene TET2 compared to individual transfection.In summary,the miR-29 family members may reduce lipid accumulation in hepatocytes by inhibiting the mTOR signaling pathway via the TET2 gene,and they exhibit a positive synergistic effect.

Objective:To analyze the influencing factors of pregnancy outcome of test-tube baby assisted pregnancy base on clinical data,and build a prediction model.Methods:The clinical data of 283 infertility patients were retrospectively analyzed.They were divided into successful pregnancy group(147 cases)and failed pregnancy group(136 cases)according to the pregnancy outcome.The influencing factors of pregnancy were analyzed by multivariate Logistic regression analysis.The predictive value of influencing factors was evaluated by drawn receiver operating characteristic(ROC)curve.Prediction model was constructed and verified based on the results of multivariate Logistic regression analysis.Results:283 cases of infertility patients received test-tube baby assisted pregnancy treatment,147 cases were successfully pregnant,and the pregnancy success rate was 51.94％(147/283).The proportion of the duration of infertility＞3 years,the proportion of endometrial morphology on HCG injection day was B or C,the proportion of endometrial thickness＜7 mm,and the proportion of embryo quality not good in failed pregnancy group were higher than those in successful pregnancy group(P＜0.05).Endometrial thickness＜7 mm,endometrial morphology on HCG injection day was B or C,the duration of infertility＞3 years,embryo quality not good were the risk factors for the failure of test-tube baby assisted pregnancy(P＜0.05).The results of ROC curve analysis showed that,the area under the curve(AUC)of endometrial morphology on HCG injection day,the duration of infertility,endometrial thickness and embryo quality to predict the failure of test-tube baby assisted pregnancy were 0.577,0.617,0.581 and 0.603 respectively.Multivariate Logistic regression model was constructed based on the influencing factors of failure of test-tube baby assisted pregnancy,the AUC of this model for predicting failure of test-tube baby assisted pregnancy was 0.845,and its predictive efficacy was higher than that of each influencing factor alone(Z=6.832,5.905,6.832,6.258,all P＜0.05).Conclusion:Endometrial thicknes＜7 mm,endometrial morphology on HCG injection day was B or C,the duration of infertility＞3 years,embryo quality not good are risk factors for the failure of test-tube baby assisted pregnancy,the prediction model base on the above risk factors has a high predictive value for the pregnancy outcome of test-tube baby assisted pregnancy.

Objective To retrospectively analyze the clinical risk factors and prognosis of perioperative myocardial injury(MINS)in non-cardiac surgery patients admitted to the intensive care unit(ICU).Methods A total of 478 postoperative patients admitted to the Department of Intensive Medicine,Minhang Hospital,Fudan University from Jan 2020 to Dec 2023 were selected.They were divided into MINS group(n=302)and normal group(n=176)based on whether myocardial injury occurred within 7 days after surgery.The differences in clinical characteristics between the two groups were compared,and risk factors for perioperative myocardial injury were identified.Risk factors for mortality in the MINS group were analyzed with 30-day mortality as the clinical endpoint.Results The prevalence of acute physiology and chronic health evaluation Ⅱ(Apache Ⅱ)score,coronary artery disease,and chronic kidney disease were all higher in the MINS group than those in the normal group,with statistically significant differences(P<0.05).The proportion of emergency surgeries,co-infection,and perioperative hypotension were significantly different between the MINS group and the normal group(P<0.05).Multivariate logistic regression analysis revealed that chronic kidney disease,emergency surgery,co-infection,and intraoperative and postoperative hypotension were risk factors for MINS occurrence.Prognostic analysis indicated that perioperative hypotension was a risk factor for 30-day mortality in MINS patients.Conclusion MINS is closely associated with patients'underlying conditions,timing of surgery,and perioperative hypotension status,and especially perioperative hypotension affects the final outcomes.

[Objective]Patients with hepatic glycogen storage disease(GSD)have recurrent episodes of hypoglycemia.This study aimed to investigate and analyze blood glucose and biochemical indicators in pediatric patients with hepatic GSD,thus provide data support for hypoglycemia prevention and its clinical management.[Methods]A cross-sectional field study was conducted among patients with hepatic GSD treated in the Department of Pediatrics of Guangdong Provincial People's Hospital on July 14,2024.We collected the peripheral blood samples of the patients and their healthy family controls on site,then analyzed and compared their blood glucose and biochemical indicators.[Results]Of the 44 patients with hepatic GSD,there were 34 males and 10 females,including GSD Ib(n=14),GSD Ia(n=15),GSD Ⅲ(n=2),GSD Ⅵ(n=7)and GSD Ⅸ(n=6).The average age was 7.60(5.08-11.98)years.All patients were on uncooked cornstarch(UCCS)therapy.Of the patients,77.3%(34/44)had hepatomegaly,61.4%(27/44)had recurrent hypoglycemia,61.4%(27/44)had blood glucose≤3.9 mmol/L,18.2%(8/44)had blood glucose≤2.8 mmol/L,and none of the 8 cases was GSD Ib.The lowest blood glucose level was 1.19 mmol/L and no episodes of hypoglycemia occurred.Of the family control subjects,65.9%(29/44)had blood glucose≤3.9 mmol/L.There was no significant difference in hypoglycemia prevalence between hepatic GSD group and control group(P=0.658).The hepatic GSD patients had hyperlactacemia,hyperuricemia and hypercholesterolemia prevalence rates of 65.9%,45.5%and 9.1%,respectively,as compared with 18.2%,43.2%and 15.9%,respectively,for the family control subjects.No significant difference was found in the prevalence rates of hyperuricemia and hypercholesterolemia between the two groups(P=0.830 and P=0.334,respectively).[Conclusions]Asymptomatic hypoglycemia is common in patients with hepatic GSD,especially in non-GSD-Ib patients.It is necessary to optimize the diet management of UCCS,conduct dynamic blood glucose monitoring and follow a light diet,so as to decrease hyperuricemia and hypercholesterolemia,avoid and reduce the serious adverse reactions and complications caused by severe hypoglycemia.

Objective To construct a competency evaluation model for forensic practitioners,providing a reference for their training and assessment.Methods Based on the iceberg and onion models of com-petency,and with reference to Spencer's Competency Dictionary,literature research was conducted and focus group interviews were employed to preliminarily construct core indices and measurement items for evaluating the competency of forensic practitioners.The Delphi method was applied for two rounds of expert consultation to further refine the competency evaluation index system.The analytic hierarchy process(AHP)was used to calculate the weights of the indices.Results A competency evaluation model for forensic practitioners was constructed,consisting of 7 core indices,encompassing forensic skills,identification service capabilities,and the ability to apply relevant legal knowledge and 49 mea-surement items.The weights of the core indices and measurement items were determined.Conclusion The constructed competency evaluation model for forensic practitioners is scientifically sound and inno-vative,and has unique characteristics of forensic medicine compared with other medical models.