Objective:To investigate the association between small vulnerable newborn (SVN) phenotypes and the risk of neurodevelopmental delay at the age of 1 year.Methods:A prospective cohort study was conducted. A total of 25 860 singleton infants from "The Born in Guangzhou Cohort Study" who completed the Gesell developmental scale assessment at 1 year of age between January 2013 and June 2025 were included. Maternal sociodemographic characteristics, and other information were collected using a self-administered questionnaire, and maternal pregnancy-related information and neonatal birth data were extracted from medical records. Global developmental delay (GDD) was defined as a developmental quotient below 86 in ≥3 domains of the Gesell developmental scale, which assesses the adaptive, gross motor, fine motor, language, and personal-social domains. The random forest algorithm was employed for missing data imputation. Based on prematurity, small for gestational age (SGA), and low birth weight (LBW), newborns were categorized into 6 phenotypes: preterm-SGA-LBW, preterm-appropriate for gestational age (AGA)-LBW, preterm-AGA-nonLBW, term-SGA-LBW, term-LBW-only or term-SGA-only, and term-AGA-nonLBW phenotype. Among these, the first 5 were classified as SVN phenotypes, and the last one served as the reference group. Inter-group comparisons were performed using analysis of variance (ANOVA), χ2 tests, or Kruskal-Wallis test, as appropriate.?? Multivariable robust Poisson regression models were applied to analyze the association of different SVN phenotypes with the risks of GDD and developmental delays in specific domains, with stratified analyses by sex. Results:Among the 25 860 infants, 13 719 (53.1%) were male and 12 141 (46.9%) were female. The gestational age at birth was 39.4 (38.6, 40.0) weeks. The overall detection rate of GDD at 1 year of age was 3.7% (962/25 860). The rates of delay across developmental domains, in descending order, language in 8 134 cases (31.5%), gross motor in 4 488 cases (17.4%), personal-social in 1 271 cases (4.9%), adaptive in 1 262 cases (4.9%), and fine motor in 621 cases (2.4%). Compared with the reference group, preterm-AGA-LBW, preterm-SGA-LBW, preterm-AGA-noneLBW, and term-SGA-LBW phenotypes were all associated with an increased risk of GDD, with the adjusted RR (95% CI) of 6.07(5.01-7.35), 4.81(3.11-7.46), 2.10(1.54-2.88) and 1.89(1.29-2.76) respectively.The preterm-AGA-noneLBW phenotype was all associated with an increased risk of delay in gross motor, language and personal-social functional domains (all P<0.05). The term-SGA-LBW phenotype was associated with an increased risk of delay in gross motor, fine motor and personal-social functional domains (all P<0.01). Whereas the term-LBW-only or term-SGA-only phenotype showed no statistically association with developmental delay in any functional domain (all P≥0.05). Conclusion:The combined classification based on gestational age and birth weight helps identify infants at high risk for neurodevelopmental delay at 1 year of age, suggesting that it may offer a reference for the rational allocation of clinical resources.

Myasthenia gravis is an autoimmune disorder characterized by impaired neuromuscular transmission. Thymectomy is one of the therapeutic options for acetylcholine receptor antibody-positive myasthenia gravis patients. The quality of perioperative care is directly associated with surgical safety and patient outcomes. However, there is currently a lack of specialized nursing consensus or guidelines specifically addressing the care of these patients domestically or internationally. To promote the standardization and normalization of perioperative nursing care for myasthenia gravis patients undergoing thymectomy and to ensure treatment efficacy, a panel of 57 experts from relevant fields was convened. Based on evidence-based medicine and clinical practice experience, discussions were held on various aspects including condition assessment, nutritional support, medication management, and airway care, resulting in a consensus with 18 final recommendations by using the Delphi method through two rounds of expert consultation. This consensus aims to provide a scientific reference for the perioperative nursing care of myasthenia gravis patients undergoing thymectomy.

ObjectiveThis paper aims to clarify the material basis of Gualou Niubangtang and establish a quantitative analysis method for its main constituents， providing a reference for the overall quality control of this preparation. MethodsThe constituents in the formula were systematically characterized based on ultra-performance liquid chromatography-quadrupole time-of-flight tandem mass spectrometry （UPLC-Q-TOF-MS/MS）. Identification was performed by matching with the UNIFI 9.6 software and utilizing database platforms such as PubChem， ChemicalBook， and ChemSpider， combined with relevant literature reports. A quantitative analysis method for the seven main constituents in Gualou Niubangtang was established by using high performance liquid chromatography （HPLC）. ResultsUPLC-Q-TOF-MS/MS analysis identified 155 constituents， including 69 flavonoids， 36 terpenoids， 23 phenylpropanoids， 8 phenylethanoid glycosides， and 19 other types of constituents. In the established quantitative analysis method， the seven main constituents showed good linearity within their respective linear ranges. The precision， repeatability， stability， and spike recovery all met the required standards. The results showed that the content ranges of geniposide， liquiritin， hesperidin， arctiin， baicalin， oroxylin A-7-O-β-D-glucuronide， and wogonoside in 15 batches of Gualou Niubangtang were 13.67-21.25， 1.20-7.64， 5.45-7.45， 22.97-33.51， 29.95-39.07， 2.58-4.80， and 6.56-9.31 mg·g^-1， respectively. ConclusionThis study successfully characterizes and attributes multi-category constituents in Gualou Niubangtang， clarifying that its material basis is primarily composed of flavonoids， terpenoids， phenylethanoid glycosides， and phenylpropanoids. Furthermore， it enables the quantification of seven constituents within the formula. This work lays a foundation for research on the quality control， action mechanism， and clinical application of this formula.

Childhood simple obesity has become a significant public health issue in China. Modern medicine primarily relies on lifestyle interventions and often suffers from poor long-term compliance， while pharmacological options are limited and associated with potential adverse effects. Traditional Chinese Medicine （TCM） has a long history in the prevention and management of this condition， demonstrating eight distinct advantages， including systematic theoretical foundation， diversified therapeutic approaches， definite therapeutic efficacy， high safety profile， good patient compliance， comprehensive intervention strategies， emphasis on prevention， and stepwise treatment protocols. Additionally， TCM is characterized by six distinctive features： the use of natural medicinal substances， non-invasive external therapies， integration of medicinal dietetics， simple exercise regimens， precise syndrome differentiation， and diverse dosage forms. By combining internal and external treatments， TCM facilitates individualized regimen adjustment and holistic regulation， demonstrating remarkable effects in improving obesity-related metabolic indicators， regulating constitutional imbalance， and promoting healthy behaviors. However， challenges remain， such as inconsistent operational standards， insufficient high-quality clinical evidence， and a gap between basic research and clinical application. Future efforts should focus on accelerating the standardization of TCM diagnosis and treatment， conducting multicenter randomized controlled trials， and fostering interdisciplinary integration， so as to enhance the scientific validity and international recognition of TCM in the prevention and treatment of childhood obesity.

Digital and intelligent technologies serve as the core engine driving the inheritance of the essence and the innovation while upholding the fundamentals of traditional Chinese medicine（TCM）. Currently， the digital and intelligent transformation of TCM has undergone four developmental stages， exhibiting inherent characteristics such as long-term inevitability， objective standardization， and ecological evolution. By introducing quantitative metrics， digital and intelligent technologies have achieved breakthroughs in TCM knowledge inheritance and innovation， clinical diagnosis and treatment， and herbal medicine supply. The practical applicability of methodological innovations has been empirically validated， though significant disparities exist in technological adaptability and application depth across different fields. Overall， the digital and intelligent transformation of TCM remains in its nascent stage， grappling with multiple structural challenges：weak data foundations， inadequate technological adaptability， incomplete institutional frameworks， shortages of multidisciplinary talent， lagging policies and regulations， and urban-rural digital divide. In order to foster sustainable development and modernization of TCM， this paper establishes a six-dimensional collaborative governance framework of encompassing data， technology， organization， institutions， environment and ethics， which is rooted in data governance and digital governance theories. Future efforts should center on standardization， integration， and ecosystem development to build a data and technology foundation. Focus should be placed on deepening innovation and application of key TCM-specific technologies， while simultaneously strengthening interdisciplinary talent cultivation， improving institutional mechanisms and policy frameworks， and increasing support for rural areas. By adopting a people-centered and technology-empowered approach， we can overcome developmental constraints and unleash the powerful driving force of digital and intelligent technologies for the inheritance of TCM.

ObjectiveTo analyze the infection status of main respiratory pathogens in influenza-like illness (ILI) cases in Anji County, Huzhou City, Zhejiang Province, and to provide a reference for the prevention, diagnosis, and treatment of respiratory infections. MethodsThroat swab samples were collected from 520 ILI cases in an influenza sentinel surveillance hospital in Anji County of Zhejiang Province from December 2023 to November 2024. Multiplex real-time fluorescence quantitative polymerase chain reaction (mRT-PCR) was used to detect 18 pathogens and their subtypes, including severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), influenza A virus (Flu A), influenza A (H1N1) virus, influenza A (H3N2) virus, influenza B virus (Flu B), influenza B virus Victoria lineage (BV), influenza B virus Yamagata lineage (BY), coronavirus (CoV), human parainfluenza virus (HPIV), respiratory syncytial virus (RSV), human metapneumovirus (HMPV), adenovirus (ADV), human bocavirus (HBoV), enterovirus (EV), rhinovirus (RV), Mycoplasma pneumoniae (MP), Chlamydia pneumoniae (CP), and Streptococcus pneumoniae (SP). ResultsThe overall positivity rate of pathogens in 520 samples was 33.65%, among which the detection rates of Flu (9.14%), ADV (7.50%), SARS-CoV-2 (6.15%), and EV (3.65%) were relatively high. There were statistically significant differences in the overall positivity rate of pathogens by age and season (all P<0.05). The highest overall positivity rate was observed in the 5‒14 years old group (42.77%), and the overall positivity rate in winter (53.08%) was significantly higher than that in other seasons. ConclusionFrom 2023 to 2024, the main respiratory pathogens detected in ILI cases in Anji County were Flu, ADV, SARS-CoV-2, and EV. The epidemic characteristics showed age and seasonal specificity, so it is necessary to strengthen prevention and control for high-risk populations and epidemic seasons in a targeted manner.

Hepatitis D is a severe infectious disease caused by hepatitis D virus （HDV）， and its clinical manifestation and outcome vary depending on the mode of infection （co-infection and super-infection）. This article systematically elaborates on the etiological markers for HDV， screening strategies for HDV infection， clinical diagnosis， and principles for treatment and management. In addition， it also discusses the challenges in etiological detection of HDV infection from the perspectives of the unique structure of the virus， genotypes， and detection techniques and reviews the new techniques in this field， in order to provide a reference for the clinical diagnosis and treatment of patients with HDV and offer new ideas for the standardization and domestication of etiological detection techniques.

Objective: To investigate the incidence, characteristics, and influencing factors of resolution discrepancies within the minipool (MP) testing model across Chinese blood station laboratories in 2024. Methods: A nationwide, multicenter, cross-sectional study was conducted, including 334 blood station laboratories that reported nucleic acid reactive data among enzyme immunoassay non-reactive samples. Of these, 296 laboratories adopted the pool resolution model, with a total of 12 536 273 samples tested. Systematic analysis was performed on resolution data, focusing on the MP-NAT reactivity rate, the pool resolution concordance rate, and the resolution discrepancy rate. Subgroup analyses were conducted based on reagent types, viral targets, and Ct values. Potential causes were further explored through laboratory surveys and re-examination of raw amplification curves. Results: In 2024, the national average MP-NAT reactivity rate was 0.15%. The overall pool resolution concordance rate was 57.86%, which showed a gradual decline as Ct values increased across all reagents. The national average resolution discrepancy rate was 0.081‱(102/12 536 273), with 17.91%(53/296) of laboratories reporting at least one discrepancy. Nine reagent types were associated with these events, exhibiting reagent-specific patterns. For Reagent A2, the predominant discrepancy was HBV reactive pools resolving as HIV (36.36%); for Reagent D1, HBV pools frequently resolved as HCV (38.89%); and for Reagent E, the most common pattern was HIV pools resolving as HBV (48.00%). These resolution discrepancies were strongly associated with high Ct values: the median pool Ct for HBV exceeded 38, while those for HCV and HIV both exceeded 40. Investigations across 16 laboratories revealed that most discrepant samples exhibited “tailing” amplification curves, with some cases linked to cross-contamination or reagent batch-specific issues. Conclusion: While the incidence of resolution discrepancies in the MP-NAT model remains low in China, variations exist across different reagents and laboratories. These discrepancies are closely associated with low viral load, reagent performance, and laboratory operational practices.

BACKGROUND:Myocardial hypertrophy often leads to severe cardiovascular diseases and is difficult to diagnose due to its early stages being hard to detect.Circulating inflammatory proteins have been found to be significantly associated with cardiovascular diseases,yet the specific mechanisms linking them to myocardial hypertrophy remain unclear.OBJECTIVE:To investigate the relationship between circulating proteins and myocardial hypertrophy using multiple Mendelian randomization approaches.METHODS:Utilizing data from 91 circulating inflammatory proteins in the GWAS Catalog database and the latest myocardial hypertrophy data from the R11 FinnGen database,we employed bidirectional two-sample Mendelian randomization,multivariate Mendelian randomization,and Genome-Wide Association Studies co-localization to investigate the causal relationship between circulating inflammatory proteins and myocardial hypertrophy.The accuracy of the results was verified through sensitivity tests including MR-PRESSO,Cochran's Q test,MR-Egger intercept assessment,leave-one-out analysis,and funnel plot analysis.RESULTS AND CONCLUSION:In the results of two-sample Mendelian randomization,the primary method used for evaluation was the Inverse Variance Weighting(IVW)approach.It was found that the level of T-cell surface glycoprotein CD6 isoform(IVW:P=0.046,OR=0.74,95％Cl:0.66-1.00),level of slit chemokine(IVW:P=2.1×10-2,OR=0.74,95％CI:0.556-0.95),level of Delta and Notch-like epidermal growth factor-related receptor(IVW:P=3.7×10-4,OR=0.66,95％CI:0.49-0.87),level of interleukin-2(IVW:P=3.8×103,OR=0.667,95％CI:0.50-0.88),and sulfotransferase 1A1(IVW:P=1.42×102,OR=0.80,95％CI:0.67-0.96)had a unidirectional causal effect on cardiac hypertrophy.(2)Among the findings in multivariate Mendelian randomization,the levels of the CD6 isoform of T-cell surface glycoprotein(IVW:P=1.39×102,OR=0.81,95％CI:0.69-0.96)and the levels of Delta and Notch-like epidermal growth factor-related receptor(IVW:P=3.7×10-2,OR=0.73,95％CI:0.55-0.98)were positive,indicating that the results remained significant after excluding the effects of other circulating inflammatory proteins that had an impact on myocardial hypertrophy.(3)In colocalization,T-cell surface glycoprotein CD6 isoform levels had H3+H4=0.96,with the most significant single nucleotide polymorphism being rs59570070,suggesting an intrinsic link between T-cell surface glycoprotein CD6 isoform levels and myocardial hypertrophy.(4)Sensitivity results showed no abnormalities,indicating no heterogeneity or pleiotropic effects influencing the results.(5)These results verified that T cell surface glycoprotein CD6 isoforms,Slit chemokine,Delta and Notch-like epidermal growth factor-related receptors,interleukin-2,and sulfotransferase 1A1 had a unidirectional causal effect on myocardial hypertrophy.T cell surface glycoprotein CD6 isoforms and Delta and Notch-like epidermal growth factor-related receptors had the deepest impact,suggesting that there may be related pathways between T cell surface glycoprotein CD6 isoforms and myocardial hypertrophy.Mendelian randomization studies require large amounts of clinical data and therefore often use European samples from international databases for analysis.Since this analytical method has significant advantages in causal inference,precision medicine,and cross-population validation,its research results still hold great significance for the medical development in China.As Mendelian randomization research deepens,it also promotes the collection and analysis of clinical data in China to some extent.In the future,we can further analyze key protein mechanisms,combine multiomics and clinical validation,develop an inflammatory marker monitoring system and novel anti-inflammatory therapies,thereby promoting the prevention and control of cardiovascular diseases and the development of personalized medicine.

BACKGROUND:Myocardial hypertrophy often leads to severe cardiovascular diseases and is difficult to diagnose due to its early stages being hard to detect.Circulating inflammatory proteins have been found to be significantly associated with cardiovascular diseases,yet the specific mechanisms linking them to myocardial hypertrophy remain unclear.OBJECTIVE:To investigate the relationship between circulating proteins and myocardial hypertrophy using multiple Mendelian randomization approaches.METHODS:Utilizing data from 91 circulating inflammatory proteins in the GWAS Catalog database and the latest myocardial hypertrophy data from the R11 FinnGen database,we employed bidirectional two-sample Mendelian randomization,multivariate Mendelian randomization,and Genome-Wide Association Studies co-localization to investigate the causal relationship between circulating inflammatory proteins and myocardial hypertrophy.The accuracy of the results was verified through sensitivity tests including MR-PRESSO,Cochran's Q test,MR-Egger intercept assessment,leave-one-out analysis,and funnel plot analysis.RESULTS AND CONCLUSION:In the results of two-sample Mendelian randomization,the primary method used for evaluation was the Inverse Variance Weighting(IVW)approach.It was found that the level of T-cell surface glycoprotein CD6 isoform(IVW:P=0.046,OR=0.74,95％Cl:0.66-1.00),level of slit chemokine(IVW:P=2.1×10-2,OR=0.74,95％CI:0.556-0.95),level of Delta and Notch-like epidermal growth factor-related receptor(IVW:P=3.7×10-4,OR=0.66,95％CI:0.49-0.87),level of interleukin-2(IVW:P=3.8×103,OR=0.667,95％CI:0.50-0.88),and sulfotransferase 1A1(IVW:P=1.42×102,OR=0.80,95％CI:0.67-0.96)had a unidirectional causal effect on cardiac hypertrophy.(2)Among the findings in multivariate Mendelian randomization,the levels of the CD6 isoform of T-cell surface glycoprotein(IVW:P=1.39×102,OR=0.81,95％CI:0.69-0.96)and the levels of Delta and Notch-like epidermal growth factor-related receptor(IVW:P=3.7×10-2,OR=0.73,95％CI:0.55-0.98)were positive,indicating that the results remained significant after excluding the effects of other circulating inflammatory proteins that had an impact on myocardial hypertrophy.(3)In colocalization,T-cell surface glycoprotein CD6 isoform levels had H3+H4=0.96,with the most significant single nucleotide polymorphism being rs59570070,suggesting an intrinsic link between T-cell surface glycoprotein CD6 isoform levels and myocardial hypertrophy.(4)Sensitivity results showed no abnormalities,indicating no heterogeneity or pleiotropic effects influencing the results.(5)These results verified that T cell surface glycoprotein CD6 isoforms,Slit chemokine,Delta and Notch-like epidermal growth factor-related receptors,interleukin-2,and sulfotransferase 1A1 had a unidirectional causal effect on myocardial hypertrophy.T cell surface glycoprotein CD6 isoforms and Delta and Notch-like epidermal growth factor-related receptors had the deepest impact,suggesting that there may be related pathways between T cell surface glycoprotein CD6 isoforms and myocardial hypertrophy.Mendelian randomization studies require large amounts of clinical data and therefore often use European samples from international databases for analysis.Since this analytical method has significant advantages in causal inference,precision medicine,and cross-population validation,its research results still hold great significance for the medical development in China.As Mendelian randomization research deepens,it also promotes the collection and analysis of clinical data in China to some extent.In the future,we can further analyze key protein mechanisms,combine multiomics and clinical validation,develop an inflammatory marker monitoring system and novel anti-inflammatory therapies,thereby promoting the prevention and control of cardiovascular diseases and the development of personalized medicine.