The quality of traditional Chinese medicine (TCM) prescriptions (TCMPs) is critical to clinical efficacy; however, evaluating their consistency and identifying sources of variability remain challenging. This study proposes an integrated strategy to assess the quality of 100 widely sold TCMPs. A "one-for-all" chromatographic method was employed to analyze 645 sample batches. This large-scale data collection enabled statistical evaluations, such as hierarchical cluster analysis (HCA) and similarity heatmap, to identify quality inconsistencies. The introduction of a TCM-specific mass spectrometry (MS) database allowed for rapid, automated annotation of chemicals across 100 prescriptions and facilitated the tracing of raw material sources. Results indicate that 19% of prescriptions exhibited chemical inconsistencies, which are associated with high market value, low pricing, and substantial price disparities. The MS database allowed rapid annotation of 761 and 673 compounds in positive and negative modes, respectively, in 100 TCMPs, with 73 prescriptions reported for the first time. The tracing efforts succeeded in identifying >40% of the raw material sources for 51 prescriptions. P93 (Yinianjin (YNJ)) is a case in which the chromatographic profiles from three manufacturers displayed inconsistencies. Analysis using the database traced divergent peaks to Rhei Radix et R hizoma (RRER). Verification with self-prepared samples confirmed that manufacturers utilized three distinct botanical sources. This integrated strategy provides a scalable framework for quality control in TCMPs.

Objective To understand the application effect of early screening scale and behavioral intervention effect in children with autism spectrum disorder (ASD). Methods A total of 348 children with suspected ASD were selected and evaluated using the Modified Checklist for Autism in Toddlers (M-CHAT) and Autism Behavior Checklist (ABC). The evaluation results were compared with those from the Diagnostic and Statistical Manual of Mental Disorders (DSM-V). Children enrolled were given Early start Denver model (ESDM) intervention. The evaluation results of Gesell Developmental Scale and Autism Treatment Evaluation Checklist (ATEC) scores were compared before and after intervention. Results The sensitivity, specificity, accuracy and Kappa value of M-CHAT for evaluating ASD in children aged 1-3 years were 89.53%, 90.70%, 89.92% and 0.78. The corresponding values of ABC were 78.49%, 81.40%, 79.46% and 0.56. The sensitivity, specificity, accuracy and Kappa value of M-CHAT for evaluating children aged >3-6 years were 87.30%, 77.78%, 84.44% and 0.64. The corresponding values of ABC were 85.71%, 77.78%, 83.33% and 0.62. The sensitivity and accuracy of M-CHAT were higher than ABC for evaluating ASD in children aged 1-3 years (P<0.05). There were no significant differences in sensitivity, specificity and accuracy between M-CHAT and ABC for evaluating ASD in children aged 3-6 years (P>0.05). After intervention, development quotients (DQ) of personal-social aspects, adaptability, language, gross motor, and fine motor of children with ASD were higher than those before intervention (P<0.05). ATEC scores for language, behavior, sensation, and social contact of children with ASD were lower than those before intervention (P<0.05). Conclusion M-CHAT and ABC both can be used for early screening of ASD in children, especially M-CHAT. Early behavioral intervention can effectively improve the condition and developmental level of children with ASD.

ObjectiveTo analyze the epidemiological characteristics of long COVID and to investigate its main influencing factors by examining individuals infected with SARS-CoV-2 between March and June 2022 in two communities in Shanghai, to lay the foundation for further research on the mechanism and clinical treatment of long COVID, and to provide the basis for the development of inexpensive, convenient, and feasible prevention and intervention strategies. MethodsA cross-sectional study was conducted, enrolling 6 410 individuals infected with SARS-CoV-2. Data were collected through a questionnaire survey. The incidence and common symptoms of long COVID were analyzed, along with their associations with demographic characteristics, medical history, and behavioral factors. A logistic regression model was used to identify the major factors associated with the development of long COVID symptoms. ResultsThe overall incidence rate of long COVID among the study population was 13.9%. The most commonly reported symptoms included fatigue (65.1%), attention disorders (23.1%), and cough (16.9%). The analysis showed that having underlying chronic diseases (OR=2.580, 95%CI: 2.165‒3.074), a history of allergies (OR=1.418, 95%CI: 1.003‒1.971), current smoking (OR=1.461, 95%CI: 1.013‒2.079), ever smoking (OR=2.462, 95%CI: 1.687‒3.551), a greater number of symptoms during the acute phase [1 symptom (OR=1.778, 95%CI: 1.459‒2.162), 2 symptoms (OR=2.749, 95%CI: 2.209‒3.409), ≥3 symptoms (OR=7.792, 95%CI: 6.333‒9.593)] and aggravated symptoms during the acute phase (OR=1.082, 95%CI: 1.070‒1.094) were factors associated with a higher risk of developing long COVID symptoms. Additionally, individuals who had consumed alcohol in the past year (OR=1.914, 95%CI: 1.344‒2.684) were more prone to objective long COVID symptoms. Among individuals under 50 years of age, females (OR=1.427, 95%CI: 1.052‒1.943) were more likely to develop objective long COVID symptoms. ConclusionThis study has identified the diversity of long COVID symptoms, which involve multiple organs and systems, including fatigue, attention disorders, cough, and joint pain. It has also revealed associations between long COVID and various demographic factors (e.g., age, gender), personal medical history (e.g., underlying chronic diseases, history of allergies), acute-phase characteristics (e.g., number and severity of symptoms), and behavioral factors (e.g., smoking, alcohol consumption). These findings highlight the need for further research and ongoing surveillance of long COVID and may inform the development of more targeted health management strategies for specific populations.

ObjectiveTo study the pharmacological substances and mechanisms through which sesquiterpene ZH-13 from Aquilariae Lignum Resinatum improves neuroinflammation. MethodsBV-2 microglial cells were stimulated with lipopolysaccharide （LPS） to induce neuroinflammation. The cells were divided into the normal group， the model group， and the ZH-13 low- and high-dose treatment groups （10， 20 μmol·L^-1）. The model group was treated with 1 μmol·L^-1 LPS. Cell viability was assessed using the cell proliferation and activity assay （CCK-8 kit）. Nitric oxide （NO） release in the cell supernatant was measured using a nitric oxide kit （Griess method）. The mRNA expression levels of interleukin-1β （IL-1β）， tumor necrosis factor-α （TNF-α）， inducible nitric oxide synthase （iNOS）， and interleukin-6 （IL-6） were detected by real-time fluorescence quantitative polymerase chain reaction （Real-time PCR）. The phosphorylation of mitogen-activated protein kinase （MAPK） pathway proteins was assessed by Western blot. ResultsCompared with the model group， ZH-13 dose-dependently reduced NO release from BV-2 cells under LPS stimulation （P<0.05， P<0.01）. In the 20 μmol·L^-1 ZH-13 treatment group， the mRNA expression levels of IL-1β， TNF-α， iNOS， and IL-6 were significantly reduced compared to the model group （P<0.05， P<0.01）. In both the low- and high-dose ZH-13 groups， the expression of the inflammatory factor TNF-α and the phosphorylation of c-Jun N-terminal kinase （JNK） in the upstream MAPK pathway were significantly reduced （P<0.05）. After stimulation with the JNK agonist anisomycin （Ani）， both low- and high-dose ZH-13 treatment groups showed reduced phosphorylation of JNK proteins compared to the Ani-treated group （P<0.01）. ConclusionThe sesquiterpene compound ZH-13 from Aquilariae Lignum Resinatum significantly ameliorates LPS-induced neuroinflammatory responses in BV-2 cells by inhibiting excessive JNK phosphorylation and reducing TNF-α expression. These findings elucidate the pharmacological substances and mechanisms underlying the sedative and calming effects of Aquilariae Lignum Resinatum.

Objective:To investigate predictive value of dynamic electrocardiogram heart rate variability(HRV)combined with three-dimensional spot tracking echocardiography(3D-STE)for postoperatively major adverse cardiovascular events(MACE)in patients with coronary heart disease(CHD).Methods:The clinical data of 80 CHD patients,who underwent percutaneous coronary intervention(PCI)treatment at Beijing Rehabilitation Hospital affiliated with Capital Medical University from January 2022 to December 2023,were retrospectively collected.All patients underwent dynamic electrocardiogram HRV and 3D-STE examination before surgery,and 1-year follow-up.The condition of occurring MACE during the follow-up period was analyzed as statistical method,and the patients were divided into occurrence group(21 cases)and non-occurrence group(59 cases).The relevant parameters of dynamic electrocardiogram HRV and 3D-STE examination of occurring MACE of CHD patients between two groups were compared,and the predictive value of dynamic electrocardiogram HRV combined with 3D-STE examination for postoperative MACE of CHD patients was analyzed.Results:In 80 CHD patients,21 cases occurred postoperative MACE,with an incidence rate of 26.25%.The standard deviation of the average NN intervals(SDANN)(65.26±9.65)ms of 5-minute sinus,the standard deviation of normal-to-normal intervals index(SDNN Index)(40.15±6.36)ms of 5-minute in continuous 24 hours,the root mean square of successive differences(r-MSSD)(36.86±4.55)ms between the normal adjacent cardiac cycles,the left atrial emptying fraction(LAEF)(40.25±4.53)%,and the left atrial storage phase strain(LASr)(15.24±3.62)%in CHD patients with MACE were lower than those without MACE[(87.45±10.22)ms,(52.45±7.85)ms,(46.54±6.25)ms,(48.54±6.33)ms,(19.99±4.55)%],and the left atrial pre-contraction volume(LAVp)(42.51±3.65)ml was higher than that(35.18±2.99)mL in patients without MACE,with statistically significant differences(t=8.666,6.457,6.499,9.093,5.510,4.317,P<0.05).Logistic regression analysis showed that SDANN,SDNN Index,r-MSSD,LAVp,LAEF,LASr were correlations with the occurrence of postoperative MACE in CHD patients(OR=0.756,0.772,0.694,2.481,0.721,0.739,P<0.05).The receiver operating characteristics(ROC)curves indicated that the area under curve(AUC)values of SDANN,SDNN Index,r-MSSD,LAVp,LAEF and LASr were all greater than 0.70 in predicting postoperative MACE in CHD patients,which indicated all of them had predictive value,and the predictive value of the combined detection was higher.Conclusion:Dynamic electrocardiogram HRV and 3D-STE parameters have a certain predictive value for the occurrence of postoperative MACE in CHD patients,and the predictive value of the combined detection for the them are higher.Therefore,dynamic electrocardiogram HRV and 3D-STE parameters can be used as one of the important reference schemes of assessing postoperative MACE of patients.

Background and aims:Primary sclerosing cholangitis(PSC)is an autoimmune liver disease characterized by complex pathogenesis and limited available therapeutic options.The mechanisms underlying the development and progression of PSCs remain unclear.Liver X receptor beta(LXR-β)is recognized to modulate lipid metabolism and immune response,but its specific involvement in the PSC has not been elucidated.Here,we explored the role and mechanism of LXR-β in PSC induced by 3,5-diethoxycarbonyl-1,4-dihydro-2,4,6-collidine(DDC).Methods:CRISPR-Cas9 technology was applied to generate Abcb4(coding MDR2,next named as Mdr2),Nr1h2(coding LXR-β,next named as Lxrβ),and Rag2(coding RAG2)knockout mice.DDC was used to induce PSC.Hematoxylin and eosin and Sirius red staining were used to assess the extent of hepatic injury and fibrosis.Flow cytometry was used to observe immune cell subsets.Results:We observed a declining trend in hepatic Lxrβ in the PSC model.Unexpectedly,Lxrβ knockout failed to modulate DDC-induced PSC pathogenesis.Concomitantly,assessment of the influence of Rag2 deficiency on PSC progression revealed the absence of aggravated or alleviated hepatic injury or fibrosis in the Rag2-/-DDC mice.However,Lxrβ depletion intensified DDC-induced PSC in the Rag2-/-mice,with more abundant infiltrative inflammatory cells and more severe liver fibrosis.Compared with Rag2-/-DDC mice,Lxrβ-/-Rag2-/-DDC mice had higher serum ALT and AST levels and mRNA expression of proinflammatory and profibrotic genes.Flow cytometry showed that LXR-β deficiency resulted in a diminished population of hepatic innate immune cells.Conclusion:This study indicated innate immune cell LXR-β deficiency can exacerbate hepatic injury and fibrosis in murine models of PSC suggesting that LXR-β may regulate the function of innate immunity in the fibrotic advancement of PSC.

Renal cancer is a common and increasingly prevalent malignancy with a complex pathogenesis influenced by genetics,smoking,and obesity.Current treatment mainly involves surgery with adjunctive chemotherapy,radiation,and immunotherapy,but high rates of recurrence and metastasis indicate its limited effectiveness,emphasizing the need for better therapeutic targets.Growing evidence indicates that epigenetic modifications,particularly RNA modifications,play a critical role in renal cancer development and progression.This review highlights recent advances in renal cancer epigenetics,focusing on RNA modifications such as N6-methyladenosine(m6 A),N7-methylguanosine(m7G),5-methylcytosine(m5C),N1-methyladenosine(m1A),adenosine-to-inosine(A-to-I),N6,2'-O-dimethyladenosine(m6Am),and N4-acetylcytidine(ac4C),along with their regulatory factors.It also explores the diagnostic and therapeutic potential of targeting RNA modifications and associated proteins.

Objective:To evaluate the mediating effect of electrocardiographic (ECG) indicators in the association between short-term exposure to fine particulate matter (PM 2.5) and blood pressure and to explore the key PM 2.5 element constituents that produce the mediating effect. Methods:Based on a cross-sectional survey across 10 cities in the Beijing-Tianjin-Hebei region and surrounding areas, PM 2.5 and its element constituents were collected from the nearest air monitoring superstation. Blood pressure and ECG indicators of participants were obtained through physical examinations. A multivariate linear regression was used to evaluate the effect of short-term exposures to PM 2.5 on blood pressure. A mediation analysis was used to identify the mediating effect of ECG indicators in the association between exposure to PM 2.5 and its element constituents and blood pressure. Results:The age of the 1 793 participants was (65.1±13.3) years, and 885 (49.4%) were males. During the study period, the daily mean concentration of PM 2.5 was (70±45) μg/m 3, and the systolic blood pressure (SBP), diastolic blood pressure (DBP), mean arterial pressure (MAP) and pulse pressure (PP) were (139±20), (82±11), (101±13), and (57±17) mmHg (1 mmHg=0.133 kPa), respectively. The results of the multivariate linear regression showed that for every 10 μg/m 3 increase in PM 2.5 on the same day (lag 0), DBP increased by 0.15 (95% CI: 0.02-0.28) mmHg, and PP decreased 0.18 (95% CI: 0.36-0.01) mmHg. The exposure to 14 elemental constituents, such as Ga, Co and Se, was associated with an increase in DBP, while the exposure to 17 elemental constituents, such as Cs, Se and Ag, was associated with a decrease in PP. At lag 0, the PM 2.5-induced increase in DBP was mediated by the QRS interval (mediation percentage of 18.98%), and the PM 2.5-induced decrease in PP was mediated by the QT interval (mediation percentage of -6.31%). The exposure to K, Br, Pb, Zn, Ca, Co, Pd, Cu, and As constituents was associated with increases in DBP mediated by prolonged QRS interval. The exposure to Pb, Zn, K, and As constituents was associated with decreases in PP mediated by prolonged QRS interval. Conclusion:ECG indicators such as QRS interval may mediate the association between short-term exposure to PM 2.5 and its element constituents and blood pressure.

Objective:To investigate the dynamic changes of cytokine levels in patients with sepsis and to identify potential biomarkers for evaluating the prognosis of the disease.Methods:A total of 195 patients with sepsis hospitalized at the Department of Infectious Diseases and the Department of Critical Care Medicine of the First Affiliated Hospital of Soochow University from August 2022 to October 2024 were recruited, and 70 healthy individuals undergoing physical examinations were recruited as the healthy control group. The levels of 11 cytokines, including interferon γ (IFN-γ), interleukin (IL)-1β, IL-2, IL-4, IL-5, IL-6, IL-8, IL-10, IL-12P70, IL-17A, tumor necrosis factor α (TNF-α) and C-reactive protein (CRP) were compared between the sepsis patients and the healthy controls. Spearman correlation analysis was used to assess the correlation between cytokine levels and sequential organ failure assessment (SOFA) scores in sepsis patients. Receiver operating characteristic curves were plotted and the area under the curve (AUC) was calculated to evaluate the diagnostic value of cytokines for sepsis. Delong test was used to compare AUC. Based on the 28-day survival outcomes, the sepsis patients were categorized into non-survival group and survival group. The levels of the 11 cytokines in patients on the 1st, 3rd, 7th, 14th, 21st and 28th days after confirmed sepsis were dynamically monitored, and their change characteristics were analyzed. Mann-Whitney U test was used for statistical comparison. Results:The age of the 195 patients with sepsis was 68.0 (55.0, 76.0) years old, including 124 males (63.6%), 64 died and 131 survived.The levels of IFN-γ, IL-1β, IL-2, IL-4, IL-5, IL-6, IL-8, IL-10, IL-12P70, IL-17A, TNF-α, CRP in the sepsis group were all higher than those in the healthy control group ( Z=-2.99, -5.42, -4.95, -4.09, -5.05, -11.30, -8.66, -8.23, -5.64, -4.75, -2.12 and -10.75, respectively, all P<0.05). The differences were statistical significance. The levels of IL-2 ( r=0.149, P=0.037), IL-6 ( r=0.223, P=0.002), IL-8 ( r=0.159, P=0.026), and IL-10 ( r=0.188, P=0.009) in patients with sepsis were positively correlated with SOFA scores. The AUC of CRP in diagnosing sepsis was 0.989 with the sensitivity of 97.4% and the specificity of 100.0%. The AUC of IL-6 in diagnosing sepsis was 0.953, with the sensitivity of 93.3% and the specificity of 97.1%, and the AUC of IFN-γ, IL-1β, IL-2, IL-4, IL-5, IL-8, IL-10, IL-12P70, IL-17A, and TNF-α were 0.620, 0.718, 0.699, 0.665, 0.703, 0.850, 0.836, 0.727, 0.691, and 0.574, respectively.The AUC of the 11 cytokines were all lower than that of CRP, and the differences were all statistically significant ( Z=2.34, 10.24, 8.03, 8.08, 10.64, 8.70, 5.91, 5.17, 8.91, 9.25 and 4.10, respectively, all P<0.05).During the dynamic monitoring, the IFN-γ and IL-1β levels in the non-survival group increased gradually. The IFN-γ levels on the 14th and 21st day in the non-survival group were higher than those in the survival group ( Z=0.53 and 0.08, respectively, both P<0.05), and IL-1β levels on the 14th, 21st, and 28th days were also higher than those in the survival group ( Z=0.03, 0.26 and 0.31, respectively, all P<0.05). IL-6 and IL-8 levels reached their peaks on the 14th day, which were significantly higher than those in the survival group ( Z=0.01 and 0.02, respectively, both P<0.05), and then decreased, and the differences were all statistically significant. Conclusions:The levels of IFN-γ and IL-1β in the non-survival sepsis patients show a gradually increasing trend. The dynamic changes of IL-6 have certain significance for the prediction of disease severity and prognosis evaluation in sepsis.

[Purpose]To analyze the cost-effectiveness and cost-utility conducted on the lung can-cer screening project in urban areas of Anhui Province,and to provide suggestions for the formu-lation of lung cancer screening policies in Anhui Province.[Methods]A Markov decision model for low-dose computed tomography(LDCT)lung cancer screening intervention was established based on on-site survey data and literature data.The development of the population under different interventions was simulated,using saved life years(LYS)and quality-adjusted life years(QALY)as effectiveness indicators,to conduct cost-effectiveness and cost-utility analyses of different screening strategies.Cost data were discounted at a 3％discount rate.[Results]The screening schemes of once a year,once every two years,once every three years,and once every five years all meet the cost-effectiveness principle for saving one LYS or QALY.Among them,the best screening strategy in terms of cost-effectiveness and cost-utility was the LDCT lung cancer screening strategy once every two years,with costs of 72 441.54 CNY and 71 050.24 CNY,respectively.[Conclusion]The LDCT lung cancer screening program demonstrates good cost-effectiveness,with strategies of dif-ferent screening frequencies being viable options.The optimal screening strategy is screening once every two years.