The development of the rare disease discipline is a crucial pathway for enhancing the diagnosis and treatment of rare diseases, cultivating specialized professionals, and fostering technological innovation. Currently, China' rare disease discipline is accelerating its development driven by both policy and demand. However, it still faces multi-dimensional challenges, including an incomplete clinical management mechanism, a shortage of interdisciplinary talents, a weak scientific research system, and limited outreach capacity. To address these challenges, this paper proposes and constructs an integrated development system with clinical diagnosis and treatment as the foundation, talent cultivation as the engine, scientific research as the support, and disciplinary outreach capacity as the extension. Specific strategies include: enhancing clinical management through artificial intelligence-assisted diagnosis systems and multidisciplinary collaboration platforms; strengthening the talent pool through textbooks, curricula, and hierarchical training mechanisms; bolstering research collaboration and translational outcomes by leveraging international data-sharing platforms, national rare disease medical centers, the State Key Laboratory of Complex Severe and Rare Diseases, and the National Key Scientific Infrastructure for Translational Medicine; and expanding grassroots outreach and public awareness through the National Rare Disease Diagnosis and Treatment Collaboration Network, the National Rare Disease Quality Control Center, and integrated media communication channels. In the future, the rare disease discipline should further deepen the integration of medicine and engineering, expand international cooperation, focus on the translational closed loop, improve the regional collaboration network, so as to build a more resilient and dynamic disciplinary ecosystem, and ultimately achieve a comprehensive improvement in the diagnosis and treatment of rare diseases.

The European Society of Cardiology (ESC) released the "2024 ESC guidelines for the management of elevated blood pressure and hypertension" on August 30, 2024. This guideline updates the 2018 "Guidelines for the management of arterial hypertension." One notable update is the introduction of the concept of "elevated blood pressure" (120-139/70-89 mm Hg). Additionally, a new systolic blood pressure target range of 120-129 mm Hg has been proposed for most patients receiving antihypertensive treatment. The guideline also includes numerous additions or revisions in areas such as non-pharmacological interventions and device-based treatments for hypertension. This article interprets the guideline's recommendations on definition and classification of elevated blood pressure and hypertension, and cardiovascular disease risk assessment, diagnosing hypertension and investigating underlying causes, preventing and treating elevated blood pressure and hypertension. We provide a comparison interpretation with the 2018 "Guidelines for the management of arterial hypertension" and the "2017 ACC/AHA guideline on the prevention, detection, evaluation, and management of high blood pressure in adults."

Objective To analyze the correlation between lesion volume,lesion mass,and maximum lesion diameter in the assessment of advanced hepatocarcinoma with lung metastasis,and to evaluate the application value of total volume response and total mass response of lung metastatic lesions in efficacy assessment.Methods A retrospective analysis was conducted on the CT imaging data of 20 patients clinically confirmed with hepatocarcinoma and lung metastases,followed by subsequent follow-up to monitor their survival outcomes.Volume measurement software was used to measure the volume of lesions before and after treatment.We recored lesion diameter,volume measurements and CT values,calculated the mass of the lesions.The correlation between lesion volume,mass and diameter was analyzed,as well as the correlation between the change rates of volume,mass and lesion diameter.Additionally,the total volume and total mass of all lesions were calculated.The correlation between the change rates of total volume/total mass and the change rate of pulmonary lesion diameter under the RECIST 1.1 criteria,as well as the correlation with changes in patients'tumor markers,were analyzed.Furthermore,the overall volume response and overall mass response of lesions were evaluated based on changes in total volume and total mass,and their consistencies with the RECIST 1.1 criteria for efficacy evaluation were analyzed.Finally,univariate Cox regression analysis was performed to explore the association between these variables and patient survival outcomes.Results There was strong correlation between lesion volume,mass and tumor diameter(r=0.771,0.775),between the rate of change in mass and the rate of change in lesion diameter(r=0.846),and between the rates of change in total volume/total mass and the rate of change in pulmonary lesion diameter under the RECIST 1.1 criteria(r=0.800,0.896).The correlation between the rates of change in total volume/total mass and patients'tumor markers was not statistically significant.There was moderate correlation between the rate of change in volume and the rate of change in lesion diameter(r=0.692).The evaluation results of total volume response and total mass response for pulmonary lesions in advanced hepatocarcinoma with lung metastasis were generally consistent with the RECIST 1.1 criteria(Kappa=0.486,0.426).Univariate Cox regression analysis revealed that total lesion volume(P=0.047)and total lesion mass(P=0.049)were independent prognostic factors for survival outcomes.Conclusion Lesion volume,mass,and diameter,as well as their respective change rates,were found to be interrelated.Furthermore,total lesion volume and total lesion mass were identified as independent prognostic factors for survival outcomes.The total volume response and total mass response are promising evaluation methods in evaluating the efficacy of lung metastasis of hepatocarcinoma,which are different from the RECIST 1.1 evaluation criteria.

The purpose of this study was to establish a luciferase immunosorbent assay(LISA)using the Crimean-Congo hemorrhagic fever virus(CCHFV)glycoprotein C(Gc),a specific antigen,for the detection of CCHFV IgG antibodies.Three antigenic fragments based on CCHFV glycoprotein C were designed,and three recombinant plasmids were constructed by liga-tion with the NanoLuc luciferase(NLuc)expression vector pNLF1-N through molecular cloning.The accuracy of the sequences in the recombinant plasmids was confirmed through sequencing.The recombinant plasmids were transfected into eukaryotic cells to obtain fusion proteins containing specific antigens and luciferase,and the expression of the fusion proteins was verified by western blotting,thereby facilitating the establishment of the CCHFV-LISA detection technique.The assay's sensitivity,specificity,and stability were evaluated and compared with those of a commercial CCHFV IgG antibody test kit.Three recom-binant antigen fragments of CCHFV Gc—NLuc-Gc-Full,NLuc-Gc-C1,and NLuc-Gc-C2—were expressed,with molecular weights of 80.1 kDa,62.8 kDa,and 53.9 kDa,respectively.The optimal fragment for CCHFV detection was NLuc-Gc-C2.The sensitivity of the CCHFV-LISA was 90.9％,and the specificity was 100％;the findings were highly concordant with those for the commercial CCHFV enzyme-linked immunosorbent assay kit.Repeatability tests indicated no statistically significant differ-ences in inter-and intra-assay variability within the same batch.The LISA was highly specific,sensitive,and user-friendly in detecting IgG antibodies against the CCHFV.Therefore,this method may facilitate serological diagnosis and epidemiological studies in endemic regions,and provide essential technical support for disease surveillance and early warning.

Objective:To investigate the effect of atosiban on hemodynamic parameters of uterine arteries and clinical effect evaluation in patients with previous implantation failure undergoing frozen-thawed embryo transfer.Methods:A retrospective cohort study was conducted to analyze 298 cycles of FET in the Department of Reproductive Medicine of the Second Affiliated Hospital of Zhengzhou University from January 2021 to June 2023. Patients were categorized into atosiban group ( n=149) and control group ( n=149) according to whether administered atosiban or not. The related indicators and clinical outcomes were compared between the two groups. Hemodynamic parameters of the uterine arteries, including bilateral uterine artery peak systolic velocity/diastolic velocity (S/D), pulsatility index (PI), resistance index (RI), and serum levels of prostaglandin F2α (PGF2α) and oxytocin were compared before and after atosiban treatment. Univariate and multivariate logistic regression analysis were applied to assess the effect of atosiban on pregnancy outcomes. The effect of atosiban on live birth rate was analyzed by age stratification. Results:The implantation rate [51.92% (135/260)], the clinical pregnancy rate [67.11% (100/149)] and the live birth rate [59.06% (88/149)] in atosiban group were significantly higher than those in control group [41.13% (102/248), P=0.015; 51.01% (76/149), P=0.005; 40.27% (60/149), P=0.001]; and the early miscarriage rate [9.00% (9/100)] was lower than that of control group [19.74% (15/76), P=0.040]. Multivariate logistic regression analysis showed that atosiban was an independent influencing factor of live birth rate ( OR=2.236, 95% CI: 1.371-3.646, P=0.001). The post-treatment right uterine artery blood flow S/D [4.61 (4.00, 5.36)], PI [1.81 (1.58, 2.05)], RI [0.79 (0.75, 0.82)], and left uterine artery blood flow S/D [4.62 (3.83, 5.61)], PI (1.84±0.38), RI [0.79 (0.74, 0.82)] were all lower than those before treatment [right S/D 4.93 (4.06, 6.04), P<0.001; PI 1.93 (1.60, 2.17), P=0.001; RI 0.80 (0.76, 0.83), P<0.001; left S/D 5.05 (4.20, 6.32), P<0.001; PI 1.95±0.43, P<0.001; RI 0.81 (0.76, 0.84), P<0.001]. Besides, the levels of PGF2α [97.01 (85.15, 109.93) ng/L] and oxytocin [41.18 (37.16, 46.78) ng/L] after treatment in atosiban group were significantly lower than those before treatment [119.71 (108.85, 129.99) ng/L, P<0.001; 51.87 (46.44, 55.54) ng/L, P<0.001). Moreover, the endometrial peristalsis waves in atosiban group were significantly less after treatment [1.00 (0.00, 2.00) times/min] than before treatment [2.00 (1.00, 3.00) times/min], and the difference was statistically significant ( P<0.001). Conclusion:Atosiban can improve uterine artery blood flow and reduce endometrial peristalsis waves in women with previous implantation failure, which increases endometrial blood perfusion. Additionally, it can also reduce the levels of PGF2α and oxytocin, and optimize the pregnancy outcome of the frozen-thawed embryo transfer.

Objective This study aimed to investigate whether Trichinella spiralis Ts87 protein can facilitate immune evasion by degrading the mouse neutrophil extracellular traps(NETs).Methods First,we used bioinformatics tools to analyze the physicochemical properties of Ts87 and,through sequence homology alignment,confirmed its classification within the nuclease family.Molecular cloning and protein purification techniques were then employed to obtain high-purity Ts87 protein,and its nuclease activity was confirmed.Additionally,we compared the primary sequence of Ts87 with known active sites from human lysosomal DNase IIα and the structurally characterized Burkholderia thailandensis DNase II.This enabled us to predict potential active sites.Ts87 enzymatic mutants were generated using site-directed mutagenesis,and their functions were confirmed through enzymatic activity experiments.The extracellular nucleic acid content of mouse bone marrow neutrophils and the immunofluorescence staining of mouse NETs were assessed in vitro to verify whether the Ts87 protease mutants exhibited a decreased ability to degrade NETs.Finally,after immunizing mice with Ts87,calculated larvae burden and the degradation of NETs in vivo were observed by immunostaining the MPO and CitH3 expression in the intestinal NETs of the mice.Results High-purity Ts87 protein was successfully obtained and confirmed to possess nuclease activity,capable of degrading NETs in vitro.The Ts87 mutants exhibited reduced capacity in degrading NETs.In vivo experiments in mice demonstrated that the production of anti-Ts87 antibodies in immunized mice reduced the degradation of NETs,facilitating NET-mediated attack on the parasites and resulting in decreased larvae burden in the mice.Conclusions Trichinella spiralis can utilize Ts87 nuclease to evade capture by NETs,providing potential vaccine and drug targets for the prevention and treatment of trichinellosis.

Objective:To develop and validate a prediction model for medication adherence among patients receiving allergen sublingual immunotherapy (SLIT).Methods:A prospective cross-sectional study was conducted, and a total of 288 patients who received SLIT treatment at an allergy center in the First Affiliated Hospital with Nanjing Medical University (Jiangsu Province Hospital) from December 2023 to July 2024 were assigned to the modeling group. Additionally, 122 patients from August to October 2024 were assigned to the validation group. Data of patients′ general information, medication beliefs, anxiety levels, social support, disease perception, and medication adherence were collected. Single-factor analysis and LASSO regression were utilized to identify potential predictors, and a prediction model for medication adherence was constructed using multifactorial logistic regression. A nomogram was then developed based on the model. The model′s discriminatory ability was evaluated using receiver operating characteristic curve (ROC), the area under curve (AUC), sensitivity, and specificity. The model was then validated in the validation cohort.Results:Single-factor analysis and LASSO regression identified a total of nine predictive factors. Logistic regression revealed that medical belief tendency [ OR (95% CI) =2.420 (1.116-5.248), P=0.025], the somatic control dimension in self-rating anxiety scales [ OR (95% CI)=1.404 (1.241-1.589), P<0.001], the subjective support dimension in social support assessment [ OR (95% CI)=0.784 (0.725-0.847), P<0.001], and the cognitive dimension in illness perception [ OR (95% CI)=0.725 (0.647-0.813), P<0.001] were independent predictors of medication adherence in patients undergoing SLIT. The AUC value of the model was 0.899 (95% CI=0.863-0.934) in the modeling group and 0.882 (95% CI=0.820-0.944) in the validation group, indicating good discriminatory ability. The optimal cutoff value of the model was 0.493, with a sensitivity of 81.1% and specificity of 85.7% in the modeling group, and a sensitivity of 87.3% and specificity of 82.5% in the validation group. Conclusion:The medication adherence prediction model developed in this study for patients undergoing SLIT exhibits good predictive performance and provides valuable guidance for early intervention by clinical healthcare professionals.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective:To investigate the effect of atosiban on hemodynamic parameters of uterine arteries and clinical effect evaluation in patients with previous implantation failure undergoing frozen-thawed embryo transfer.Methods:A retrospective cohort study was conducted to analyze 298 cycles of FET in the Department of Reproductive Medicine of the Second Affiliated Hospital of Zhengzhou University from January 2021 to June 2023. Patients were categorized into atosiban group ( n=149) and control group ( n=149) according to whether administered atosiban or not. The related indicators and clinical outcomes were compared between the two groups. Hemodynamic parameters of the uterine arteries, including bilateral uterine artery peak systolic velocity/diastolic velocity (S/D), pulsatility index (PI), resistance index (RI), and serum levels of prostaglandin F2α (PGF2α) and oxytocin were compared before and after atosiban treatment. Univariate and multivariate logistic regression analysis were applied to assess the effect of atosiban on pregnancy outcomes. The effect of atosiban on live birth rate was analyzed by age stratification. Results:The implantation rate [51.92% (135/260)], the clinical pregnancy rate [67.11% (100/149)] and the live birth rate [59.06% (88/149)] in atosiban group were significantly higher than those in control group [41.13% (102/248), P=0.015; 51.01% (76/149), P=0.005; 40.27% (60/149), P=0.001]; and the early miscarriage rate [9.00% (9/100)] was lower than that of control group [19.74% (15/76), P=0.040]. Multivariate logistic regression analysis showed that atosiban was an independent influencing factor of live birth rate ( OR=2.236, 95% CI: 1.371-3.646, P=0.001). The post-treatment right uterine artery blood flow S/D [4.61 (4.00, 5.36)], PI [1.81 (1.58, 2.05)], RI [0.79 (0.75, 0.82)], and left uterine artery blood flow S/D [4.62 (3.83, 5.61)], PI (1.84±0.38), RI [0.79 (0.74, 0.82)] were all lower than those before treatment [right S/D 4.93 (4.06, 6.04), P<0.001; PI 1.93 (1.60, 2.17), P=0.001; RI 0.80 (0.76, 0.83), P<0.001; left S/D 5.05 (4.20, 6.32), P<0.001; PI 1.95±0.43, P<0.001; RI 0.81 (0.76, 0.84), P<0.001]. Besides, the levels of PGF2α [97.01 (85.15, 109.93) ng/L] and oxytocin [41.18 (37.16, 46.78) ng/L] after treatment in atosiban group were significantly lower than those before treatment [119.71 (108.85, 129.99) ng/L, P<0.001; 51.87 (46.44, 55.54) ng/L, P<0.001). Moreover, the endometrial peristalsis waves in atosiban group were significantly less after treatment [1.00 (0.00, 2.00) times/min] than before treatment [2.00 (1.00, 3.00) times/min], and the difference was statistically significant ( P<0.001). Conclusion:Atosiban can improve uterine artery blood flow and reduce endometrial peristalsis waves in women with previous implantation failure, which increases endometrial blood perfusion. Additionally, it can also reduce the levels of PGF2α and oxytocin, and optimize the pregnancy outcome of the frozen-thawed embryo transfer.

Debates persist regarding the efficacy and safety of azvudine, particularly its real-world outcomes. This study involved patients aged ≥60 years who were admitted to 25 hospitals in mainland China with confirmed SARS-CoV-2 infection between December 1, 2022, and February 28, 2023. Efficacy outcomes were all-cause mortality during hospitalization, the proportion of patients discharged with recovery, time to nucleic acid-negative conversion (T _NANC), time to symptom improvement (T _SI), and time of hospital stay (T _HS). Safety was also assessed. Among the 5884 participants identified, 1999 received azvudine, and 1999 matched controls were included after exclusion and propensity score matching. Azvudine recipients exhibited lower all-cause mortality compared with controls in the overall population (13.3% vs. 17.1%, RR, 0.78; 95% CI, 0.67-0.90; P = 0.001) and in the severe subgroup (25.7% vs. 33.7%; RR, 0.76; 95% CI, 0.66-0.88; P < 0.001). A higher proportion of patients discharged with recovery, and a shorter T _NANC were associated with azvudine recipients, especially in the severe subgroup. The incidence of adverse events in azvudine recipients was comparable to that in the control group (2.3% vs. 1.7%, P = 0.170). In conclusion, azvudine showed efficacy and safety in older patients hospitalized with COVID-19 during the SARS-CoV-2 omicron wave in China.