OBJECTIVE To establish HPLC fingerprint for Jianpi hewei formula （JPHWF）， conduct chemical pattern recognition analysis， and determine the contents of seven components in the formula， aiming to provide a scientific basis for quality control and further research of JPHWF. METHODS Taking 15 batches of standard decoctions of JPHWF as samples， the HPLC fingerprint was established using the Similarity Evaluation System of TCM Chromatographic Fingerprint （2012 edition）. Subsequently， similarity evaluation， as well as identification and attribution analysis of chromatographic peaks， were conducted. Using the common peak areas from the 15 batches of samples as variables， chemical pattern recognition analyses were performed on the samples through hierarchical cluster analysis， principal component analysis， and orthogonal partial least squares-discriminant analysis. The contents of adenine， 5-hydroxymethylfurfural， tetrahydropalmatine， naringin， dehydrocorydaline， neohesperidin and glycyrrhizic acid in 15 batches of samples were determined by HPLC. RESULTS There were 19 common peaks in the characteristic chromatograms for 15 batches of samples with the similarities of more than 0.95. Results of chemical pattern recognition analysis showed that 15 batches of samples could be clustered into 3 categories， and 3 differential compounds were found [peak 7 （5- hydroxymethylfurfural）， peak 17 （neohesperidin）， and peak 15 （naringin）]. The 7 components were linearly good in the respective concentration ranges （R2≥0.999 4）； RSDs of precision， stability and repeatability tests were less than 2% （n＝6）； the average recovery rate of 98.95%-103.81%， RSD of 0.61%-2.75% （n＝6）； the contents of them were 0.031-0.106， 0.267-0.824， 0.089- 0.144， 1.344-2.091， 0.089-0.178， 1.328-2.028， 0.040-0.150 mg/g， respectively. CONCLUSIONS Established HPLC fingerprinting method coupled with multi-index content determination is validated to be accurate and reliable， and its combination with chemical pattern recognition analysis can be applied to the quality control of JPHWF.

Background: The genetic basis for hyperglycaemia in pregnancy remain unclear. This study aimed to uncover the genetic determinants of gestational diabetes mellitus (GDM) and investigate their applications. Methods: We performed a meta-analysis of genome-wide association studies (GWAS) for GDM in Chinese women (464 cases and 1,217 controls), followed by de novo replications in an independent Chinese cohort (564 cases and 572 controls) and in silico replication in European (12,332 cases and 131,109 controls) and multi-ethnic populations (5,485 cases and 347,856 controls). A polygenic risk score (PRS) was derived based on the identified variants. Results: Using the genome-wide scan and candidate gene approaches, we identified four susceptibility loci for GDM. These included three previously reported loci for GDM and type 2 diabetes mellitus (T2DM) at MTNR1B (rs7945617, odds ratio [OR], 1.64; 95% confidence interval [CI],1.38 to 1.96]), CDKAL1 (rs7754840, OR, 1.33; 95% CI, 1.13 to 1.58), and INS-IGF2-KCNQ1 (rs2237897, OR, 1.48; 95% CI, 1.23 to 1.79), as well as a novel genome-wide significant locus near TBR1-SLC4A10 (rs117781972, OR, 2.05; 95% CI, 1.61 to 2.62; Pmeta=7.6×10-9), which has not been previously reported in GWAS for T2DM or glycaemic traits. Moreover, we found that women with a high PRS (top quintile) had over threefold (95% CI, 2.30 to 4.09; Pmeta=3.1×10-14) and 71% (95% CI, 1.08 to 2.71; P=0.0220) higher risk for GDM and abnormal glucose tolerance post-pregnancy, respectively, compared to other individuals. Conclusion Our results indicate that the genetic architecture of glucose metabolism exhibits both similarities and differences between the pregnant and non-pregnant states. Integrating genetic information can facilitate identification of pregnant women at a higher risk of developing GDM or later diabetes.

Background: The genetic basis for hyperglycaemia in pregnancy remain unclear. This study aimed to uncover the genetic determinants of gestational diabetes mellitus (GDM) and investigate their applications. Methods: We performed a meta-analysis of genome-wide association studies (GWAS) for GDM in Chinese women (464 cases and 1,217 controls), followed by de novo replications in an independent Chinese cohort (564 cases and 572 controls) and in silico replication in European (12,332 cases and 131,109 controls) and multi-ethnic populations (5,485 cases and 347,856 controls). A polygenic risk score (PRS) was derived based on the identified variants. Results: Using the genome-wide scan and candidate gene approaches, we identified four susceptibility loci for GDM. These included three previously reported loci for GDM and type 2 diabetes mellitus (T2DM) at MTNR1B (rs7945617, odds ratio [OR], 1.64; 95% confidence interval [CI],1.38 to 1.96]), CDKAL1 (rs7754840, OR, 1.33; 95% CI, 1.13 to 1.58), and INS-IGF2-KCNQ1 (rs2237897, OR, 1.48; 95% CI, 1.23 to 1.79), as well as a novel genome-wide significant locus near TBR1-SLC4A10 (rs117781972, OR, 2.05; 95% CI, 1.61 to 2.62; Pmeta=7.6×10-9), which has not been previously reported in GWAS for T2DM or glycaemic traits. Moreover, we found that women with a high PRS (top quintile) had over threefold (95% CI, 2.30 to 4.09; Pmeta=3.1×10-14) and 71% (95% CI, 1.08 to 2.71; P=0.0220) higher risk for GDM and abnormal glucose tolerance post-pregnancy, respectively, compared to other individuals. Conclusion Our results indicate that the genetic architecture of glucose metabolism exhibits both similarities and differences between the pregnant and non-pregnant states. Integrating genetic information can facilitate identification of pregnant women at a higher risk of developing GDM or later diabetes.

Background: The genetic basis for hyperglycaemia in pregnancy remain unclear. This study aimed to uncover the genetic determinants of gestational diabetes mellitus (GDM) and investigate their applications. Methods: We performed a meta-analysis of genome-wide association studies (GWAS) for GDM in Chinese women (464 cases and 1,217 controls), followed by de novo replications in an independent Chinese cohort (564 cases and 572 controls) and in silico replication in European (12,332 cases and 131,109 controls) and multi-ethnic populations (5,485 cases and 347,856 controls). A polygenic risk score (PRS) was derived based on the identified variants. Results: Using the genome-wide scan and candidate gene approaches, we identified four susceptibility loci for GDM. These included three previously reported loci for GDM and type 2 diabetes mellitus (T2DM) at MTNR1B (rs7945617, odds ratio [OR], 1.64; 95% confidence interval [CI],1.38 to 1.96]), CDKAL1 (rs7754840, OR, 1.33; 95% CI, 1.13 to 1.58), and INS-IGF2-KCNQ1 (rs2237897, OR, 1.48; 95% CI, 1.23 to 1.79), as well as a novel genome-wide significant locus near TBR1-SLC4A10 (rs117781972, OR, 2.05; 95% CI, 1.61 to 2.62; Pmeta=7.6×10-9), which has not been previously reported in GWAS for T2DM or glycaemic traits. Moreover, we found that women with a high PRS (top quintile) had over threefold (95% CI, 2.30 to 4.09; Pmeta=3.1×10-14) and 71% (95% CI, 1.08 to 2.71; P=0.0220) higher risk for GDM and abnormal glucose tolerance post-pregnancy, respectively, compared to other individuals. Conclusion Our results indicate that the genetic architecture of glucose metabolism exhibits both similarities and differences between the pregnant and non-pregnant states. Integrating genetic information can facilitate identification of pregnant women at a higher risk of developing GDM or later diabetes.

Background: The genetic basis for hyperglycaemia in pregnancy remain unclear. This study aimed to uncover the genetic determinants of gestational diabetes mellitus (GDM) and investigate their applications. Methods: We performed a meta-analysis of genome-wide association studies (GWAS) for GDM in Chinese women (464 cases and 1,217 controls), followed by de novo replications in an independent Chinese cohort (564 cases and 572 controls) and in silico replication in European (12,332 cases and 131,109 controls) and multi-ethnic populations (5,485 cases and 347,856 controls). A polygenic risk score (PRS) was derived based on the identified variants. Results: Using the genome-wide scan and candidate gene approaches, we identified four susceptibility loci for GDM. These included three previously reported loci for GDM and type 2 diabetes mellitus (T2DM) at MTNR1B (rs7945617, odds ratio [OR], 1.64; 95% confidence interval [CI],1.38 to 1.96]), CDKAL1 (rs7754840, OR, 1.33; 95% CI, 1.13 to 1.58), and INS-IGF2-KCNQ1 (rs2237897, OR, 1.48; 95% CI, 1.23 to 1.79), as well as a novel genome-wide significant locus near TBR1-SLC4A10 (rs117781972, OR, 2.05; 95% CI, 1.61 to 2.62; Pmeta=7.6×10-9), which has not been previously reported in GWAS for T2DM or glycaemic traits. Moreover, we found that women with a high PRS (top quintile) had over threefold (95% CI, 2.30 to 4.09; Pmeta=3.1×10-14) and 71% (95% CI, 1.08 to 2.71; P=0.0220) higher risk for GDM and abnormal glucose tolerance post-pregnancy, respectively, compared to other individuals. Conclusion Our results indicate that the genetic architecture of glucose metabolism exhibits both similarities and differences between the pregnant and non-pregnant states. Integrating genetic information can facilitate identification of pregnant women at a higher risk of developing GDM or later diabetes.

Objective To investigate the diagnostic value of contrast-enhanced ultrasound(CEUS)combined with serum Smad ubiquitin regulatory factor 1(SMURF1)detection for thyroid cancer.Methods A total of 144 suspected thyroid cancer patients admitted to Lishui branch of Zhongda Hospital Affiliated to Southeast University from February 2019 to February 2020 were selected as the study subjects.Based on the histopathological results,they were divided into the thyroid cancer group(76 cases)and the benign group(68 cases).All patients underwent contrast-enhanced ultrasound examination and serum SMURF1 level detection;the diagnostic value of contrast-enhanced ultrasound parameters,serum SMURF1 detection alone,and the combination of the two methods for thyroid cancer were analyzed.Results Contrast-enhanced ultrasound parameters peak intensity(PI),mean perfusion intensity(SImean)and maximum perfusion intensity(SImax)in the thyroid cancer group were lower than those in the benign group,and the level of SMURF1 mRNA was higher than that in the benign group(P<0.05).The sensitivity of contrast-enhanced ultrasound parameter SImax in the diagnosis of thyroid cancer was 82.89%,the specificity was 72.06%,the accuracy was 77.78%,and the Kappa value was 0.552.The sensitivity of serum SMURF1 in the diagnosis of thyroid cancer was 65.79%,the specificity was 94.12%,the accuracy was 79.17%,and the Kappa value was 0.589.The sensitivity,specificity,accuracy and Kappa value of SImax combined with serum SMURF1 in the diagnosis of thyroid cancer were 97.37%,85.29%,91.67%and 0.832,respectively,which were higher than those of SImax and SMURF1 alone(P<0.05),the AUC of the combination of the two methods was 0.927,which was significantly higher than that of the two methods alone(Zcombined vs.SImax=3.999,P<0.001;Zcombined vs.SMURF1=3.270,P=0.001).Conclusion Contrast-enhanced ultrasound combined with serum SMURF1 detection can improve the diagnostic efficiency of thyroid cancer,which may avoid the over-diagnosis on the premise of ensuring the effective diagnosis of thyroid cancer patients.

Objective To evaluate the efficacy of Broncho-Vaxom combined with physiological sea water nasal wash in the treatment of chronic rhinitis-rhinosinusitis in children. Methods A total of 179 children with chronic rhinitis-rhinosinusitis were randomly divided into observation group of 90 cases and control group of 89 cases. The observation group received treatment of oral administration of Broncho-Vaxom capsules at a dose of 3.5 mg once daily on an empty stomach in the morning for 10 consecutive days, with a 20-day drug-free period as one course of treatment, for a total of 3 courses. Additionally, they underwent nasal irrigation with physiological sea water twice daily in the morning and evening, for 10 consecutive days, with a 20-day break as one course of treatment, for a total of 3 courses. The control group underwent nasal irrigation with physiological sea water using the same method of the observation group. Both groups received symptomatic treatment such as anti-allergy therapy, and antibiotics were added when there presented obvious inflammatory changes. After treatment, the clinical total effective rate was compared between the two groups. Changes in the scores of Visual Analogue Scale (VAS) and Lund-Kenndy scale for nasal endoscopy, as well as changes in serum IgG, IgE, and T lymphocyte subsets were also compared. A six-month follow-up was conducted to assess the recurrence rate and average number of episodes of rhinosinusitis (times per person). Results The clinical total effective rate in the observation group was significantly higher compared to that in the control group(95.56% versus 86.52%). The scores of VAS and Lund-Kenndy scale in the observation group were significantly better than those in the control group. Serum IgG levels in the observation group were increased and higher than those in the control group, while serum IgE level in the observation group was decreased and lower than that in the control group. After 3 courses of treatment, the levels of CD3⁺, CD4⁺, and CD4⁺/CD8⁺ in the blood of the observation group were increased, while the level of CD8⁺ was decreased. The six-month follow-up after treatment showed that the recurrence rate of rhinitis-rhinosinusitis in the observation group was 17.05%, with an average of 0.28 episodes per person, which was lower than that in the control group (P < 0.05). Conclusion The combination of Broncho-Vaxom and physiological sea water nasal wash is effective in treating chronic rhinitis-rhinosinusitis in children, and can increase serum IgG level, decrease serum IgE level, optimize the structure of T lymphocyte subsets, enhance immune resistance, and improve allergic constitution. The six-month follow-up of the treatment reduces recurrence rate and average number of episodes of rhinitis-rhinosinusitis.

Objective: To examine the association of hypertension onset age with diabetes, so as to provide insights into reducing the the risk of cardiovascular events. Methods: Permanent residents aged 35 to 75 years were selected through the program of early screening and comprehensive intervention for the high-risk cardiovascular disease population in Changning District and Baoshan District, Shanghai Municipality from 2016 to 2020. Demographic information, disease history, hypertension onset age, blood pressure and fasting blood glucose were collected through questionnaire surveys, physical examination and laboratory tests. The residents were divided into four groups based on the onset age of hypertension: <45, 45-<55, 55-<65 and ≥65 years old, and the residents with normal blood pressure were selected as control. The association of hypertension onset age with prediabetes and diabetes were identified using a multivariable logistic regression model. Results: A total of 25 228 residents were recruited, including 8 753 males (34.70%) and 16 475 females (65.30%). The prevalence of hypertension was 43.80%. There were 1 779, 3 274, 3 781 and 2 217 cases with hypertension onset age of <45, 45-<55, 55-<65 and ≥65 years old, respectively, and 14 177 residents with normal blood pressure. The prevalence of prediabetes and diabetes were 24.01% and 11.29%, respectively. Multivariable logistic regression analysis showed that after adjusting for confounding factors such as gender, marital status and educational level, compared with the normal blood pressure group, the risk of prediabetes was higher in the hypertension onset age groups of <45 (OR=1.345, 95%CI: 1.164-1.553), 45-<55 (OR=1.365, 95%CI: 1.212-1.536) and 55-<65 years old (OR=1.376, 95%CI: 1.239-1.527), and the risk of diabetes was higher in the hypertension onset age groups of <45 (OR=2.302, 95%CI: 1.906-2.775), 45-<55 (OR=2.349, 95%CI: 2.016-2.734), 55-<65 (OR=1.909, 95%CI: 1.667-2.184) and ≥65 years old (OR=1.315, 95%CI: 1.131-1.526). Conclusion There are statistically significant associations between hypertension onset age with prediabetes and diabetes.

This experiment aims to study the taste-masking effects of different kinds of corrigent used individually and in combination on ibuprofen oral solution, in order to optimize the taste-masking formulation. Firstly, a wide range of corrigent and the mass fractions were extensively screened using electronic tongue technology. Subsequently, a combination of sensory evaluation, analytic hierarchy process (AHP)-fuzzy mathematics evaluation, and Box-Behnken experimental design were employed to comprehensively assess the taste-masking effects of different combinations of corrigent on ibuprofen oral solution, optimize the taste-masking formulation, and validate the results. The study received ethical approval from the Review Committee of the Beijing University of Chinese Medicine (ethical code: 2024BZYLL0102). The results showed that corrigent fractions and types were screened separately through single-factor experiments. Subsequently, a Box-Behnken response surface design combined with AHP and fuzzy mathematics evaluation was used to fit a functional model: Z = 688.310 11 - 3 023.722 22X₁ - 11.477 00X₂ + 62.721 67X₃ + 14.600 00X₁X₂ - 179.666 67X₁X₃ - 3.152 00X₂X₃ + 4 031.111 11X₁² + 0.525 28X₂² + 9.772 00X₃². This model is stable and reliable, determining the optimal taste-masking formulation to be 3.9 g·L^-1 of stevioside, 100 g L^-1 of xylitol, and 30 g L^-1 of methyl-β-cyclodextrin. The comprehensive score of the verification test is 88.14, with a relative RSD of 0.39%, indicating the feasibility of this model. This study achieved the improvement of the taste of ibuprofen oral solution through a combination of objective and subjective methods. Three types of corrigent were identified for enhancing drug taste, leading to the selection of the optimal taste-masking formulation for ibuprofen oral solution. This significantly enhanced the taste of the original formulation, improved patient compliance, and offered a new approach to mitigating the undesirable taste of formulations.

Objective To establish a mouse model of liver aging induced by irradiation combined with hepatectomy.Methods A model was established via single irradiation combined with hepatectomy.The survival rate,body weight,liver index and liver function of the mice were detected.The expressions of senescence-associated secretory phenotype factors in serum were detected with enzyme-linked immunosorbent assay(ELISA)and flow cytometry.The mRNA levels of senescence-associated secretory phenotype factors and telomerase in liver tissue were detected by real-time quantitative PCR(qPCR).The expressions of cyclin dependent kinase inhibitor 1A(CDKN1A)and cyclin dependent kinase inhibitor 2A(CDKN2A)were determined by Western blotting.ELISA was used to calculate senescence-associated β-galactosidase(SA-β-Gal)and lipofuscin levels.Tissue malondialdehyde levels were measured using the thiobarbituric acid(TBA)method.The size of hepatocyte nuclei and lipid accumulation were detected by hematoxylin-eosin(HE)stainingand oil-red-O while triglyceride levels in the liver were studied with the weighing method.Results After irradiation combined with hepatectomy,the body weight of mice was significantly reduced,the liver index was not significantly affected,but the transaminase level was significantly increased.The levels of SA-β-Gal and lipofuscin increased while telomerase activity decreased significantly,and the nucleus size increased.The expressions of cyclin dependent protein kinase inhibitors CDKN1A and CDKN2A increased.The levels of senescence-associated secretory phenotype factors were significantly increased.Hepatic lipid deposition and oxidative damage were aggravated.Conclusion A mouse model of liver aging induced by irradiation combined with hepatectomy has been established.