To thoroughly implement the strategic deployment outlined in the Opinions of the Central Committee of the Communist Party of China and the State Council on Promoting the Inheritance and Innovative Development of Traditional Chinese Medicine regarding research on dominant diseases of traditional Chinese medicine and to uphold the development philosophy of equal emphasis on traditional Chinese medicine and western medicine，the China Association of Chinese Medicine has fully played a leading academic role by systematically organizing and conducting a series of academic youth salons on clinical dominant diseases of traditional Chinese medicine. On September 13，2024，the 36^th Youth Salon on Clinical Dominant Diseases was successfully held in Nanjing，focusing on the advantages of traditional Chinese medicine and the integrative traditional Chinese medicine and western medicine in the diagnosis and treatment of erectile dysfunction （ED）. The conference brought together leading experts from traditional Chinese medicine，western medicine，and interdisciplinary fields，facilitating in-depth multidisciplinary discussions that led to key consensus on optimizing traditional Chinese medicine treatment protocols for ED，researching and developing new drugs of traditional Chinese medicine，and advancing interdisciplinary development in traditional Chinese medicine. This salon systematically sorted out the clinical strengths and distinctive features of traditional Chinese medicine in the diagnosis and treatment of ED. Based on current research foundations and clinical needs，it identified key directions for future scientific layout and scientific research tackling： （1） Standardization of syndrome differentiation system of traditional Chinese medicine for ED. （2） Optimization and standardization of intervention methods of integrated traditional Chinese medicine and western medicine. （3） High-quality clinical research guided by evidence-based medicine. （4） In-depth analysis of the pharmacological mechanisms of traditional Chinese medicine in the treatment of ED. （5） Clinical translation and application promotion of new drugs of traditional Chinese medicine. （6） Interdisciplinary integration and innovation in traditional Chinese medicine. For each research direction，key focus areas，expected objectives，and clinical value were further refined，along with the establishment of a scientifically sound priority funding level evaluation system. Therefore，building on the series of salons on the ED-focused dominant diseases of traditional Chinese medicine，this paper provides standardized guidance for clinical practice of traditional Chinese medicine in ED management，effectively contributing to the high-quality development of traditional Chinese medicine. It serves as a valuable reference for national scientific and technological strategic layout， research and development decision-making in new drugs of traditional Chinese medicine，research topic planning，and clinical guideline formulation.

The initiation of adaptive immune responses relies on the precise recognition and interpretation of antigenic information. In this process, the specific binding of T cell receptors (TCRs) to peptide-major histocompatibility complex (pMHC) molecules represents one of the key molecular events in the initiation of adaptive immune responses. Accordingly, the structural features of TCR-pMHC complexes provide a fundamental basis for dissecting antigen recognition mechanisms and support rational vaccine design, therapeutic target discovery in TCR-based immunotherapy, and TCR identification and optimization. However, experimental determination of TCR-pMHC structures remains costly, time-consuming, and limited in coverage, making computational approaches essential for rapidly obtaining reliable structural information. Computational methods for predicting the structures of TCR-pMHC complexes have advanced rapidly in recent years, driven by progress in deep learning-based modeling frameworks and the increasing availability of structural and sequence resources. Despite these developments, most existing tools do not adequately distinguish the key structural and biophysical differences between MHC class I (MHC-I) and MHC class II (MHC-II) complexes during model construction. As a consequence, their predictive performance differs substantially between class I and class II complexes. In general, structural predictions for class I complexes outperform those for class II complexes. This discrepancy may be related to several fundamental differences between the two systems, including the architecture of the peptide-binding groove, the distribution of peptide lengths, and the properties of peptide flanking residues (PFRs). Compared with MHC-I molecules, MHC-II molecules usually bind longer antigenic peptides, which typically range from 13 to 25 amino acids in length. PFRs at both termini of these peptides participate in regulating the overall conformation of TCR-pMHC class II complexes and exert a pronounced effect on the geometric and physicochemical characteristics of the TCR-pMHC binding interface. Furthermore, within the TCR recognition interface, the complementarity-determining regions (CDRs) consist of segments that differ markedly in conformational behavior. They commonly include regions that are relatively rigid and structurally stable, together with highly flexible segments exhibiting substantial conformational plasticity. These rigidity-flexibility features constitute an essential structural basis enabling TCRs to recognize diverse peptide-MHC ligands and to accommodate conformational heterogeneity at the interface. However, many current modeling tools, in an effort to enforce global conformational stability or reduce structural noise, tend to over-constrain intrinsically flexible regions. Such oversimplification may lead to inappropriate rigidification of flexible CDR loops, resulting in local structural distortions, compromised interface geometry, or even complete modeling failure for specific complexes. Against this background, the review approaches the field from the perspective of computational differences between MHC-I and MHC-II complexes. We first systematically organize and summarize available resources related to TCRs and pMHCs, including structural datasets, sequence databases, prediction tools, and benchmarking studies. We then focus on five representative tools capable of predicting both class I and class II complexes—AlphaFold2, AlphaFold3, TCRmodel2, tFold-TCR, and TCR-pHLA_ModellerS. After excluding structures present in the training sets of these tools, we constructed a benchmark dataset comprising 25 class I and 10 class II TCR-pMHC complexes in the bound state and conducted a systematic evaluation using this dataset. We first employ widely used general evaluation metrics, including All-Atom Root Mean Square Deviation (All-Atom RMSD), Backbone RMSD, Template Modeling score (TM-score), and DockQ, to assess the global conformational accuracy and interface modeling quality of class I and class II complexes. For class II complexes, we propose for the first time a peptide flanking residue deviation index, including the PFRs-Deviation Index (PFRs-DI), N-PFR-Deviation Index (N-PFR-DI), and C-PFR-Deviation Index (C-PFR-DI), to quantitatively characterize conformational deviations in PFRs. In addition, we propose the CDR conformational consistency index (CCC) designed to qualitatively evaluate the ability of prediction tools to capture TCR CDR conformational flexibility. These metrics collectively assess a tool’s ability to model both overall conformation and critical functional regions, thereby addressing the limitations of existing evaluation criteria that overemphasize global structure while inadequately capturing modeling quality in key functional areas. This establishes a unified analytical framework for MHC-I and MHC-II complexes to guide data resource selection, modeling strategy formulation, and evaluation system development. The framework further advances computational modeling and provides crucial support for multi-scale analysis of TCR-pMHC recognition mechanisms and their biological functions.

The initiation of adaptive immune responses relies on the precise recognition and interpretation of antigenic information. In this process, the specific binding of T cell receptors (TCRs) to peptide-major histocompatibility complex (pMHC) molecules represents one of the key molecular events in the initiation of adaptive immune responses. Accordingly, the structural features of TCR-pMHC complexes provide a fundamental basis for dissecting antigen recognition mechanisms and support rational vaccine design, therapeutic target discovery in TCR-based immunotherapy, and TCR identification and optimization. However, experimental determination of TCR-pMHC structures remains costly, time-consuming, and limited in coverage, making computational approaches essential for rapidly obtaining reliable structural information. Computational methods for predicting the structures of TCR-pMHC complexes have advanced rapidly in recent years, driven by progress in deep learning-based modeling frameworks and the increasing availability of structural and sequence resources. Despite these developments, most existing tools do not adequately distinguish the key structural and biophysical differences between MHC class I (MHC-I) and MHC class II (MHC-II) complexes during model construction. As a consequence, their predictive performance differs substantially between class I and class II complexes. In general, structural predictions for class I complexes outperform those for class II complexes. This discrepancy may be related to several fundamental differences between the two systems, including the architecture of the peptide-binding groove, the distribution of peptide lengths, and the properties of peptide flanking residues (PFRs). Compared with MHC-I molecules, MHC-II molecules usually bind longer antigenic peptides, which typically range from 13 to 25 amino acids in length. PFRs at both termini of these peptides participate in regulating the overall conformation of TCR-pMHC class II complexes and exert a pronounced effect on the geometric and physicochemical characteristics of the TCR-pMHC binding interface. Furthermore, within the TCR recognition interface, the complementarity-determining regions (CDRs) consist of segments that differ markedly in conformational behavior. They commonly include regions that are relatively rigid and structurally stable, together with highly flexible segments exhibiting substantial conformational plasticity. These rigidity-flexibility features constitute an essential structural basis enabling TCRs to recognize diverse peptide-MHC ligands and to accommodate conformational heterogeneity at the interface. However, many current modeling tools, in an effort to enforce global conformational stability or reduce structural noise, tend to over-constrain intrinsically flexible regions. Such oversimplification may lead to inappropriate rigidification of flexible CDR loops, resulting in local structural distortions, compromised interface geometry, or even complete modeling failure for specific complexes. Against this background, the review approaches the field from the perspective of computational differences between MHC-I and MHC-II complexes. We first systematically organize and summarize available resources related to TCRs and pMHCs, including structural datasets, sequence databases, prediction tools, and benchmarking studies. We then focus on five representative tools capable of predicting both class I and class II complexes—AlphaFold2, AlphaFold3, TCRmodel2, tFold-TCR, and TCR-pHLA_ModellerS. After excluding structures present in the training sets of these tools, we constructed a benchmark dataset comprising 25 class I and 10 class II TCR-pMHC complexes in the bound state and conducted a systematic evaluation using this dataset. We first employ widely used general evaluation metrics, including All-Atom Root Mean Square Deviation (All-Atom RMSD), Backbone RMSD, Template Modeling score (TM-score), and DockQ, to assess the global conformational accuracy and interface modeling quality of class I and class II complexes. For class II complexes, we propose for the first time a peptide flanking residue deviation index, including the PFRs-Deviation Index (PFRs-DI), N-PFR-Deviation Index (N-PFR-DI), and C-PFR-Deviation Index (C-PFR-DI), to quantitatively characterize conformational deviations in PFRs. In addition, we propose the CDR conformational consistency index (CCC) designed to qualitatively evaluate the ability of prediction tools to capture TCR CDR conformational flexibility. These metrics collectively assess a tool’s ability to model both overall conformation and critical functional regions, thereby addressing the limitations of existing evaluation criteria that overemphasize global structure while inadequately capturing modeling quality in key functional areas. This establishes a unified analytical framework for MHC-I and MHC-II complexes to guide data resource selection, modeling strategy formulation, and evaluation system development. The framework further advances computational modeling and provides crucial support for multi-scale analysis of TCR-pMHC recognition mechanisms and their biological functions.

Osteoarthritis (OA) is a prevalent degenerative joint disease predominantly affecting the elderly and is characterized by cartilage degradation, synovitis, and subchondral bone sclerosis. Despite its widespread occurrence, no effective pharmacological interventions currently exist to halt or reverse disease progression. Polyphenolic compounds, a diverse class of plant-derived substances, have attracted considerable attention for their potent anti-inflammatory and antioxidant activities. This review summarizes recent advances in understanding the multifaceted roles of polyphenols in OA. Specifically, polyphenols protect chondrocytes and preserve the extracellular matrix by mitigating oxidative stress, suppressing inflammation, regulating autophagy and cholesterol metabolism, and inhibiting programmed cell death pathways, including apoptosis, pyroptosis, and ferroptosis. Furthermore, they exert protective effects on synovial tissue by regulating macrophage polarization and inhibiting pathogenic fibroblast activation, while also contributing to the maintenance of subchondral bone homeostasis. Recent progress in nanotechnology-based delivery systems, designed to overcome the poor solubility and limited bioavailability of polyphenols, is also highlighted. Collectively, this review integrates mechanistic insights with emerging therapeutic strategies, underscoring the potential of polyphenolic compounds as disease-modifying agents for OA.

Objective To explore the mechanism of electroacupuncture in alleviating hyperlipidemia in a rat model by modulating mammalian target of rapamycin complex 1(mTORC1)-mediated lipophagy in hepatocytes.Methods A total of 30 SD rats were randomly divided into blank(n=6)and modeling groups(n=24)using the random number table method.A hyperlipidemic rat model was established by feeding rats a high-fat diet(feeding for 8 weeks).After successful modeling,the modeling group was randomly divided into the model,electroacupuncture,mTORC1 inhibitor,and electroacupuncture+mTORC1 agonist groups,with six rats in each group.Except for the blank group,all other rats were fed with high fat diet.Rats in the electroacupuncture and electroacupuncture+mTORC1 agonist groups received electroacupuncture intervention at bilateral"Fenglong"(ST40)acupoints(dilatational wave 2 Hz/100 Hz,current intensity 1 mA)for 30 min once daily.Rats in the mTORC1 inhibitor group received intraperitoneal injections of the mTORC1 inhibitor,rapamycin(2 mg/kg),once daily.Rats in the electroacupuncture+mTORC1 agonist group received intraperitoneal injections of the mTORC1 agonist MHY1485(10 mg/kg)once daily.The interventions were administered for five consecutive days per week for 4 weeks.Upon completion of the intervention,the following analyses were performed:serum contents of total cholesterol(TC),triglycerides(TAG),low-density lipoprotein cholesterol(LDL-C),high-density lipoprotein cholesterol(HDL-C),free fatty acids(FFA),alanine aminotransferase(ALT),and aspartate aminotransferase(AST)were measured using a fully automated biochemical analyzer.Hepatic histopathological changes and lipid deposition were observed using hematoxylin-eosin and oil red O staining.The liver condition was observed and the liver index was calculated.Hepatic TC and TAG levels were measured using an enzyme-linked immunosorbent assay.The ultrastructure of the liver tissue was observed using transmission electron microscopy,and the mean fluorescence intensity of perilipin 2(PLIN2)and microtubule-associated protein 1 light chain 3(LC3)-Ⅱ in the liver tissue was detected using immunofluorescence.Protein expression of LC3-Ⅱ/LC3-Ⅰ,phosphorylated mammalian target of rapamycin(p-mTOR)/mTOR,and mTORC1 in liver tissue was detected using Western blotting.Results Compared to the blank group,the model group rats showed increased serum TC,TAG,LDL-C,ALT,AST,and FFA levels,along with decreased HDL-C levels(P<0.05).The liver index and hepatic TC and TAG levels were also elevated(P<0.05).Histological examination of liver tissue revealed substantial lipid accumulation,numerous lipid droplets within hepatocytes,abnormal mitochondrial morphology,and scarce autophagic vacuole.The mean fluorescence intensity of PLIN2 increased,whereas that of LC3-Ⅱ decreased(P<0.05).Additionally,the LC3-Ⅱ/LC3-Ⅰ ratio was reduced,whereas the p-mTOR/mTOR ratio and mTORC1 protein expression were increased(P<0.05).Compared to the model group,rats in the mTORC1 inhibitor and electroacupuncture groups exhibited decreased serum TC,TAG,LDL-C,ALT,AST,and FFA levels(P<0.05),along with a reduced liver index and hepatic TC and TAG levels(P<0.05).Histological examination showed markedly attenuated lipid accumulation and visible autophagic vacuole in the hepatocytes.The mean fluorescence intensity of PLIN2 decreased,whereas that of LC3-Ⅱ increased(P<0.05).Moreover,the LC3-Ⅱ/LC3-Ⅰ ratio increased,whereas the p-mTOR/mTOR ratio and mTORC1 protein expression decreased(P<0.05).In comparison with both the electroacupuncture and mTORC1 inhibitor groups,the electroacupuncture+mTORC1 agonist group demonstrated increased serum TAG,TC,LDL-C,ALT,AST,and FFA levels(P<0.05)as well as elevated liver index and hepatic TC and TAG levels(P<0.05).Liver tissues exhibited aggravated lipid deposition and absence of autophagic vacuole in liver cells.The mean fluorescence intensity of PLIN2 was enhanced,whereas that of LC3-Ⅱ was reduced(P<0.05).Furthermore,the LC3-Ⅱ/LC3-Ⅰ ratio decreased,and the p-mTOR/mTOR ratio and mTORC1 protein expression increased(P<0.05).Conclusion Electroacupuncture at"Fenglong"(ST40)may improve blood lipid levels in hyperlipidemic rats by inhibiting mTORC1 and promoting hepatocyte lipophagy.

Objective:To explore the impact of the two-way referral model on compliance and prognosis in patients with heart failure.Methods:This bidirectional cohort study enrolled chronic heart failure (CHF) patients treated at Qilu Hospital of Shandong University or designated primary hospitals between March 2018 and March 2022. Patients were categorized into two groups based on referral status: two-way referral group (participating in the referral model with≥1 follow-up visit at primary hospitals) and the core hospital group (receiving treatment and follow-up exclusively at Qilu Hospital). Baseline clinical characteristics were collected and compared between groups. Patients underwent followed-up, with primary endpoints including follow-up rate, drug (β-blockers, angiotension converting enzyme inhibitor (ACEI)/angiotensin Ⅱ receptor blockers (ARB)/angiotensin receptor-neprilysin inhibitor (ARNI), sodium-glucose cotransporter 2 inhibitors and mineralocorticoid receptor antagonists) utilization rate and target dose achievement rate. Secondary endpoints encompassed changes from baseline in left ventricular ejection fraction (LVEF), left ventricular end-diastolic diameter (LVEDd), and N-terminal pro-brain natriuretic peptide (NT-proBNP), plus cardiovascular mortality and heart failure rehospitalization. Generalized linear mixed models analyzed longitudinal trends in LVEF, LVEDd, and NT-proBNP levels. Kaplan-Meier curves and Cox regression evaluated LVEF recovery rates, supplemented by subgroup analyses. Multivariate logistic regression was used to identify factors influencing target dose achievement rate for β-blockers and ACEI/ARB/ARNI therapies in CHF patients.Results:A total of 357 patients were enrolled, aged 53 (41, 63) years, including 256 males (71.7%). 157 patients were in the two-way referral group and 200 patients in the core hospital-treated group. Compared with the core hospital-treated group, the two-way referral group had lower baseline LVEF (28 (22, 34)% vs. 31 (23, 36)%, P=0.021) and systolic blood pressure (116 (104, 125) mmHg vs. 121 (109, 134) mmHg (1 mmHg=0.133 kPa), P=0.010). The 12-month follow-up rate of the two-way referral group was higher than the core hospital-treated group (73.8% vs. 56.0%, P=0.004). No significant between-group differences were observed in drug utilization rate of β-blockers, ACEI/ARB/ARNI, or sodium-glucose cotransporter 2 inhibitors during follow-up (all P>0.05), while mineralocorticoid receptor antagonists use showed a declining trend in both groups. Although the core hospital-treated group had higher target dose achievement rates for β-blockers (65.4% vs. 49.3%, P=0.042) and ACEI/ARB/ARNI (79.8% vs. 65.8%, P=0.046) than the two-way referral group, multivariate logistic regression indicated that the two-way referral model was not a negative predictor for these outcomes (all P>0.05). Both groups showed improved NT-proBNP, LVEDd, and LVEF from baseline (all P<0.001) with no significant difference in trends between groups (all P>0.05). There was no significant difference in the composite incidence (7.6% vs. 6.5%, P=0.674) and cumulative incidence (log-rank P=0.684) of cardiovascular death and heart failure rehospitalization at 12 months between two groups. Conclusion:The two-way referral model demonstrates advantages in improving medication adherence, drug utilization rates, and targetdoseachievement rates among CHF patients. This model not only promotes cardiac functional recovery but also reduces risks of cardiovascular mortality and heart failure rehospitalization, achieving comparable therapeutic and management outcomes to those observed in core hospital-treated patients.

Objective:To compare the efficacy and safety of extended-field versus reduced-field radiotherapy in upper tract urothelial carcinoma (UTUC) patients after radical operation.Methods:A retrospective analysis was conducted on the data of 210 UTUC patients who underwent full-length nephrectomy and received postoperative adjuvant radiotherapy in Peking University First Hospital from January 2013 to November 2023, and follow-up continued until June 2024. According to the target area of postoperative radiotherapy, patients were divided into the extended-field radiotherapy group (127 cases) and the reduced-field radiotherapy group (83 cases). The overall survival (OS), distant metastasis free survival (DMFS), local recurrence free survival (LRFS) and adverse reactions were compared. In the same period, 114 patients with recurrent abdominal and pelvic lymph nodes who did not receive adjuvant therapy after surgery for UTUC in our center were prospectively collected, and the coverage of the reduced-field target area was analyzed. Chi square test was used to compare the clinical characteristics, Kaplan-Meier method was used to analyze survival outcomes, log-rank test was used to compare the survival rate, and Cox multivariate regression analysis was performed on the influencing factors of survival.Results:The median follow-up was 24.5 (range: 3-74) months. There were no significant differences between the extended-field and reduced-field radiotherapy groups in terms of 2-year LRFS (93.3% vs. 98.1%, P=0.156), 2-year DMFS (84.8% vs. 91.2%, P=0.176), and 2-year OS (90.4% vs. 90.7%, P=0.707). The most common toxicities of adjuvant radiotherapy were nausea and leukopenia, with significantly higher grade 1-2 incidence in the extended-field group compared to the reduced-field group ( P<0.05). According to the analysis of patients with retroperitoneal lymph node recurrence after surgery, the reduced-field target designed according to the location of the primary tumor can cover more than 90% of the postoperative metastatic lymph node area Multivariate analysis revealed that variant histology ( HR=2.180,95% CI: 1.021-4.658, P=0.044) was an independent predictor of worse DMFS, while variant histology ( HR=3.825,95% CI: 1.514-9.662, P=0.005) and T 3-4 stage ( HR=4.452,95% CI: 1.025-19.339, P=0.046) were independent predictors of poorer OS. Conclusions:Compared with extended-field radiotherapy, reduced-field radiotherapy designed based on primary tumor location significantly reduced treatment-related toxicities without compromising postoperative therapeutic efficacy, and the reduced-field can cover more than 90% of local recurrent lesions.

Purpose Based on multimodal imaging combined with a variety of histological techniques,to visually evaluate the changes of rats brain metabolic microenvironment after cerebral hypoxia and ischemia of prematurity,and to discuss the effects of abnormal lactate metabolism in the brain on oligodendrocyte precursor cells,so as to provide a basis for the early diagnosis and treatment of premature white matter injury(PWMI).Materials and Methods A total of 36 SPF-grade healthy 3-day-old Sprague-Dawley neonatal rats were randomly assigned to the sham surgery(Sham)group and the model(PWMI)group using a random number table method,with 18 rats in each group.A neonatal rat PWMI model was established by hypoxia-ischemia method.Twenty-four hours after modeling,laser speckle imaging was used to monitor cerebral blood flow and blood oxygen changes.Multimodal imaging was used to observe the changes in brain tissue microstructure and metabolism after PWMI.HE staining was used to observe the morphological changes of nerve cells in the white matter of the brain.Enzyme-linked immunosorbent assay was used to detect the changes of lactate content and lactate dehydrogenase activity in the white matter region of the brain after PWMI in neonatal rats.PDGFR-α immunofluorescence staining was used to observe the dynamic changes of the number of oligodendrocyte precursor cells in the subependymal zone after PWMI in neonatal rats.Results Twenty-four hours after modeling,the multimodal imaging results showed that the T2WI and diffusion-weighted imaging on the injured side of the PWMI group showed high intensity,and the relative cerebral blood flow,relative oxygen saturation,relative apparent diffusion coefficient and amide proton transfer(APT)Lorentzian difference value were lower than those in the Sham group(t=29.466,23.522,59.006,54.778,10.263,all P<0.001),and the lactate content was higher than that in the Sham group(t=-7.521,P<0.001).The results of HE staining and enzyme-linked immunosorbent assay showed that the arrangement of nerve cells in the white matter area of the injured side of the brain in the PWMI group was loose and disordered.The lactate content and lactate dehydrogenase activity were higher than those in the Sham group(t=-6.079,-10.548,both P<0.001).The results of immunofluorescence staining showed that the number of PDGFR-α+cells in the subependymal zone of the damaged side of the PWMI group was higher than that of the Sham group at 24 hours after modeling,and lower than that in the Sham group at 11 days after modeling(t=-8.386,6.676,both P<0.001).The correlation analysis between the lactate content and APT Lorentzian difference value in the brain and the number of oligodendrocyte precursor cells in the brain 11 days after modeling showed that the number of oligodendrocyte precursor cells in the subependymal zone was positively correlated with the APT Lorentzian difference value(r=0.821,P=0.001 1),and negatively correlated with the lactate content in the brain(r=-0.880,P=0.000 2).Conclusion Multimodal imaging can monitor the early brain metabolism changes of PWMI in neonatal rats,especially the changes of lactate,and provide a visual basis for their early diagnosis.The level of lactate in the brain increases after cerebral hypoxia and ischemia in prematurity,and oligodendrocyte precursor cells increase transiently and then decrease,resulting in PWMI.

Objective:By systematically evaluate the implementation of GBZ 2.1, so as to provide technical basis for the future revisions of this standard.Methods:From May to October 2023, Based on the pre survey questionnaire, the semi-structured interview method was used to interviews with experts from CDC, Occupational disease prevention and control hospital institutes, employers, occupational hygiene technical service intermediaries and universities, and the inductive method was used to extract the topics and relevant suggestions.Results:Generally, GBZ 2.1 is scientific, practical, progressiveness and operable. There are still some issues such as OELs overlapping and the correspondence between Chinese and English names. The outstanding problem is the coordination with other standard contents.Conclusion:The technical indicators in GBZ 2.1 could adapt to the needs of current practical work. The coordination between standards needs to be clarified, and the new recommended content needs further promotion and exploration on how to implement it.

Objective:To identify genetic etiology of ischemic stroke(IS)based on pleiotropy of obe-sity related genes.Methods:A discordant sib-pair study was designed based on the Fangshan family co-hort in Beijing.Body mass index(BMI)polygenic risk score(PRS)was first constructed under different P values.Using the polygenic transmission disequilibrium test(pTDT),we then compared the actual BMI genetic risk of siblings with IS to their expected risk,to analyze whether higher BMI was over-trans-mitted to siblings with IS.The single nucleotide polymorphism(SNP)that comprised the PRS over-trans-mitted with IS and that corresponded to the highest heritability of IS were identified as a pleiotropy SNPs set between BMI and IS.This set was then utilized as a candidate set to identify and verify risk SNPs as-so-ciated IS by transmission disequilibrium test.Finally,we identified independent genomic risk loci and mapped to genes,we then explored the biological function of the identified risk loci and genes by func-tional annotation and pathway enrichment.Results:A total of 541 participants were enrolled,with an average age of(58.4±8.1)years,including 326 discordant sib pairs of ischemic stroke.Compared with non-IS participants,IS participants with males,education level below junior high school,hypertension and hyperlipidemia accounted for a higher proportion(P＜0.05).For all the BMI PRS,we found that the actual genetic risk of BMI in siblings with IS was higher than their expectation,suggesting that genetic risk associated with high BMI was over-transmitted with IS.Compared with other SNP sets,the set(P＜5 × 10-4)corresponded to the best analytical statistics of pTDT and the highest heritability of IS and was identified as the pleiotropy SNP set between BMI and IS.Within this set,there were 45 SNPs having linkage and association with IS,which were located in 43 independent genomic risk loci and mapped to 40 genes.These genes were significantly enriched in the lipid metabolism pathway.The rs2232852 cor-rected by multiple tests was mapped to CYB5R1 and ADIPOR1,which were related to lipid metabolism and the ferroptosis pathway.Conclusion:Pleiotropy between BMI-related genes and IS was observed.Forty-five SNPs were found with linkage and association with IS in the pleiotropy gene set and mapped to 40 genes,which were functionally enriched in lipid metabolic pathways.The rs2232852 corrected by multiple tests during association analysis validation was mapped to CYB5R1 and ADIPOR1,which were related to lipid metabolism and the ferroptosis pathway,suggesting that lipid metabolism and ferroptosis played an important role in the development of IS.