In this experiment, self-assembled nanoparticles(SANs) were prepared by the pH-driven method, and Her-HCP SAN was constructed by using herpetrione(Her) and Herpetospermum caudigerum polysaccharides(HCPs). The average particle size and polydispersity index(PDI) were used as evaluation indexes for process optimization, and the quality of the final formulation was evaluated in terms of particle size, PDI, Zeta potential, and microstructure. The proposed Her-HCP SAN showed a spheroid structure and uniform morphology, with an average particle size of(244.58±16.84) nm, a PDI of 0.147 1±0.014 8, and a Zeta potential of(-38.52±2.11) mV. Her-HCP SAN significantly increased the saturation solubility of Her by 2.69 times, with a cumulative release of 90.18% within eight hours. The results of in vivo unidirectional intestinal perfusion reveal that Her active pharmaceutical ingredient(API) is most effectively absorbed in the jejunum, where both K_a and P_(app) are significantly higher compared to the ileum(P<0.001). However, the addition of HCP leads to a significant reduction in the P_(app) of Her in the jejunum(P<0.05). Furthermore, the formation of the Her-HCP SAN results in a notably lower P_(app) in the jejunum compared to Her API alone(P<0.001), while both K_a and P_(app) in the ileum are significantly increased(P<0.001, P<0.05). The absorption of Her-HCP SAN at different concentrations in the ileum shows no significant differences, and the pH has no significant effect on the absorption of Her-HCP SAN in the ileum. The addition of the transporter protein inhibitors(indomethacin and rifampicin) significantly increases the absorption parameters K_a and P_(app) of Her-HCP SAN in the ileum(P<0.05,P<0.01), whereas the addition of verapamil has no significant effect on the intestinal absorption parameters of Her-HCP SAN, suggesting that Her may be a substrate for multidrug resistance-associated protein 2 and breast cancer resistance proteins but not a substrate of P-glycoprotein.
Nanoparticles/metabolism* ; Polysaccharides/pharmacokinetics* ; Intestinal Absorption/drug effects* ; Animals ; Rats ; Particle Size ; Drugs, Chinese Herbal/pharmacokinetics* ; Male ; Rats, Sprague-Dawley ; Drug Carriers/chemistry* ; Drug Compounding ; Cucurbitaceae/chemistry*

Mutations in the cyclin-dependent kinase-like 5 gene (CDKL5) cause a severe neurodevelopmental disorder, yet the impact of truncating mutations remains unclear. Here, we introduce the Cdkl5^492stop mouse model, mimicking C-terminal truncating mutations in patients. 492stop/Y mice exhibit altered dendritic spine morphology and spontaneous seizure-like behaviors, alongside other behavioral deficits. After creating cell lines with various Cdkl5 truncating mutations, we found that these mutations are regulated by the nonsense-mediated RNA decay pathway. Most truncating mutations result in CDKL5 protein loss, leading to multiple disease phenotypes, and offering new insights into the pathogenesis of CDKL5 disorder.
Animals ; Disease Models, Animal ; Mice ; Protein Serine-Threonine Kinases/deficiency* ; Mutation/genetics* ; Epileptic Syndromes/genetics* ; Humans ; Dendritic Spines/pathology* ; Spasms, Infantile/genetics* ; Male ; Seizures/genetics* ; Mice, Inbred C57BL

OBJECTIVE: To investigate the association between ABO blood types and gestational diabetes mellitus (GDM) risk. METHODS: A prospective birth cohort study was conducted. ABO blood types were determined using the slide method. GDM diagnosis was based on a 75-g, 2-h oral glucose tolerance test (OGTT) according to the criteria of the International Association of Diabetes and Pregnancy Study Groups. Logistic regression was applied to calculate the odds ratios ( ORs) and 95% confidence intervals ( CIs) between ABO blood types and GDM risk. RESULTS: A total of 30,740 pregnant women with a mean age of 31.81 years were enrolled in this study. The ABO blood types distribution was: type O (30.99%), type A (26.58%), type B (32.20%), and type AB (10.23%). GDM was identified in 14.44% of participants. Using blood type O as a reference, GDM risk was not significantly higher for types A ( OR = 1.05) or B ( OR = 1.04). However, women with type AB had a 19% increased risk of GDM ( OR = 1.19, 95% CI = 1.05-1.34; P < 0.05), even after adjusting for various factors. This increased risk for type AB was consistent across subgroup and sensitivity analyses. CONCLUSION The ABO blood types may influence GDM risk, with type AB associated with a higher risk. Incorporating it-either as a single risk factor or in combination with other known factors-could help identify individuals at risk for GDM before or during early pregnancy.
Humans ; Female ; Pregnancy ; Diabetes, Gestational/etiology* ; ABO Blood-Group System ; Adult ; Prospective Studies ; Risk Factors ; Young Adult

In the study of age estimation in living individuals,a lot of data needs to be analyzed by mathematical statistics,and reasonable medical statistical methods play an important role in data design and analysis.The selection of accurate and appropriate statistical methods is one of the key factors af-fecting the quality of research results.This paper reviews the principles and applicable principles of the commonly used medical statistical methods such as descriptive statistics,difference analysis,consistency test and multivariate statistical analysis,as well as machine learning methods such as shallow learning and deep learning in the age estimation research of living individuals,and summarizes the relevance and application prospects between medical statistical methods and machine learning methods.This paper aims to provide technical guidance for the age estimation research of living individuals to obtain more scientific and accurate results.

Objective To estimate adolescents and children age using stepwise regression and machine learning methods based on the pulp and tooth volumes of the left maxillary central incisor and cuspid on cone beam computed tomography(CBCT)images,and to compare and analyze the estimation re-sults.Methods A total of 498 Shanghai Han adolescents and children CBCT images of the oral and maxillofacial regions were collected.The pulp and tooth volumes of the left maxillary central incisor and cuspid were measured and calculated.Three machine learning algorithms(K-nearest neighbor,ridge regression,and decision tree)and stepwise regression were used to establish four age estimation models.The coefficient of determination,mean error,root mean square error,mean square error and mean ab-solute error were computed and compared.A correlation heatmap was drawn to visualize and the monotonic relationship between parameters was visually analyzed.Results The K-nearest neighbor model(R2=0.779)and the ridge regression model(R2=0.729)outperformed stepwise regression(R2=0.617),while the decision tree model(R2=0.494)showed poor fitting.The correlation heatmap demon-strated a monotonically negative correlation between age and the parameters including pulp volume,the ratio of pulp volume to hard tissue volume,and the ratio of pulp volume to tooth volume.Con-clusion Pulp volume and pulp volume proportion are closely related to age.The application of CBCT-based machine learning methods can provide more accurate age estimation results,which lays a founda-tion for further CBCT-based deep learning dental age estimation research.

Objective To investigate the relationship between single nucleotide polymorphisms(SNPs)in the eNOS gene and genetic susceptibility to systemic lupus erythematosus(SLE)in Hainan.Methods Blood samples were collected from SLE patients(SLE group,n=214)and healthy controls(control group,n=214)from January 2020 to December 2022 at the First Affiliated Hospital of Hainan Medical College and Hainan Provincial People's Hospital.The bases of eNOS gene rs3918188,rs1799983 and rs1007311 loci in each group were detected by SNaPshot sequencing technology.Logistic regression was used to analyze the correlation between genotypes,alleles and gene models(dominant model,recessive model,and overdominant model)of the above 3 target loci of the eNOS gene and genetic susceptibility to SLE.Haplotype analysis was conducted using HaploView 4.2 software to investigate the relationship between haploid and genetic susceptibility to SLE at each site.Results The results of logistic regression analysis revealed that the CC genotype and the C allele at rs3918188 locus were risk factors for genetic susceptibility to SLE(CC vs.AA:OR=2.449,P<0.05;C vs.A:OR=2.133,P<0.001).In recessive model at rs3918188 locus,CC genotype carriers had an increased risk of SLE development compared with AA+AC genotype carriers(OR=2.774,P<0.001).In contrast,in overdominant model at this locus,AC genotype carriers had a decreased risk of SLE occurrence compared with AA+CC genotype carriers(OR=0.385,P<0.001).In addition,polymorphisms of rs1799983 and rs1007311 were not associated with susceptibility to SLE in genotype,allele type and the 3 genetic models(P>0.05).Haplotype analysis revealed a strong linkage disequilibrium between the rs1007311 and rs1799983 loci of the eNOS gene,but no significant correlation was found between haplotype and genetic susceptibility to SLE(P>0.05).Conclusion The CC genotype and C allele at rs3918188 locus of eNOS gene may be risk factors for SLE in Hainan,while the risk of SLE occurrence is reduced in carriers of AC genotype under the overdominant model.

Objective To investigate the relationship among circulating soluble major histocompatibility complex class Ⅰ-related chain A(sMICA),soluble major histocompatibility complex class Ⅰ-related chain B(sMICB),the activity of systemic lupus erythematosus(SLE)and autoantibodies.Methods A total of 156 SLE patients(SLE group)and 103 healthy volunteers(control group)who underwent physical examination in outpatient physical examination center were selected from the Qianjiang Hospital Affiliated to Chongqing University from January 2020 to January 2023.According to SLE disease activity score(SLEDAI),these SLE patients were divided into mild activity group(n=43),moderate activity group(n=69),and severe activity group(n=44).Serum levels of sMICA and sMICB,and the proportion of autoantibodies and peripheral blood NK cells were detected.Spearman or Pearson method was used to analyze the correlation among sMICA,sMICB,score,autoantibodies and peripheral blood NK cells proportion.Receiver operating characteristics(ROC)curve was used to evaluate the value of sMICA and sMICB in the diagnosis of SLE activity.Results Serum sMICA(173.65±23.92 pg/ml)and sMICB(96.35±15.74 pg/ml)levels in SLE group were higher than those in control group(32.51±6.27 pg/ml,12.03±2.47 pg/ml),while the proportion of CD3-CD56+NK cells(12.02％±2.65％)in peripheral blood was lower than that in control group(18.35％±3.71％),and the differences were statistically significant(t=58.498,53.897,-16.010,all P＜0.05).Serum sMICA and sMICB levels in severe active group were higher than those in moderately active group and mildly active group(t=8.192,12.352;19.652,23.742,all P＜0.05),and the proportion of CD3-CD56+NK cells in peripheral blood was lower than that in moderate and mild active groups(t=8.154,10.658,P＜0.05).The differences in positive rates of anti-dsDNA antibody,anti-nuclear antibody,anti-nucleosome antibody and anti-histone antibody in SLE patients with different disease activities were significant(x2=8.795,7.216,7.539,8.946,all P＜0.05).Serum sMICA and sMICB levels in SLE patients were positively correlated with SLED AI score,anti-dsDNA antibody,anti-nuclear antibody,anti-nucleosome antibody and anti-histone antibody(r=0.206～0.402,all P＜0.05),and negatively correlated with the proportion of CD3-CD56+NK cells in peripheral blood(r=-0.563,-0.427,all P＜0.05).The areas under the curve of SLE in severe active group diagnosed by sMICA and sMICB alone were 0.652 and 0.704,respectively.The area under the curve of SLE in severe active group diagnosed by sMICA and sMICB combined with SLE was 0.812,which was higher than that by the single diagnosis(Z=3.050,2.346,all P＜0.05).Conclusion The increased serum sMICA and sMICB levels in SLE patients were associated with the increased positive rate of SLE autoantibodies,the decreased proportion of NK cells in peripheral blood and the enhanced disease activity,which could be used as potential markers of SLE.

Six compounds were isolated from the roots of Ephedra sinica Stapf using various chromatographic techniques such as silica gel column chromatography, thin layer chromatography and semi-preparative HPLC. Their chemical structures were identified by analysis of physicochemical properties and spectral data, and determined as (Z)-docosanylferulate (1), (E)-docosanylferulate (2), bis (2-ethylheptyl) phythalate (3), 2,2′-oxybis (1,4-di-tert-butylbenzene) (4), diisobutyl phthalate (5), bis (2-ethylhexyl) phthalate (6). Among them, compound 1 is a new compound, compounds 2-4 were first isolated from Ephedra. A corticosterone-induced PC-12 cell injury model was used for compound activity screening. The results showed that compounds 1 and 5 significantly improved corticosterone-induced PC-12 cell injury and significantly increased 5-HT₇ receptor protein expression in the cells, indicating potential antidepressant activity.

Purpose The aim of this study is to investigate the relationship between the expression of kinesin family member C1(KIFC1)in endometrioid carcinoma and clinicopathological features and prognosis of endometrioid carcinoma patients.Methods The expression of KIFC1 in 30 cases of paracancer-ous endometrium and 95 cases of endometrioid carcinoma was detected by immunohistochemical SP method.qRT-PCR and Western blot were used to detect the expression level of mRNA and protein of KIFC1 in 30 pairs of fresh cancer tissues and ad-jacent non-cancer tissues.Furthermore,the relationship between KIFC1 protein expression and survival time was analyzed by TC-GA database,and their clinicopathologic features were analyzed.Results The immunohistochemistry results showed the positive rate of KIFC1 in endometrioid carcinoma(61.05％)was signifi-cantly higher than that in the neighboring noncancerous tissue(13.33％),and the difference was statistically significant(P＜0.05).The expression of KIFC1 was correlated with myometrial invasion,FIGO stage and lymphatic metastasis(all P＜0.05).The relative expression of KIFC1 mRNA in endometrioid carci-noma(2.99±0.59)was significantly higher than that in the neighboring noncancerous tissue(1.00±0.29),and there was significant difference(P＜0.05).The relative expression of KIFC1 protein in endometrioid carcinoma(1.70±0.36)was significantly higher than that in the neighboring noncancerous tissue(0.72±0.17),and there was significant difference(P＜0.05).Furthermore,elevated KIFC1 expression was positive-ly correlated with a poorer prognosis.Conclusion KIFC1 is upregulated in endometrioid carcinoma and associated with poor prognosis of patients,KIFC1 was expected to be a potential ther-apeutic target and prognostic indicator for endometrioid carcino-ma.