OBJECTIVES: This study aims to explore the association between single nucleotide polymorphisms (SNPs) loci near the haplotype region hg19 chr9:100560865-100660865 of the forkhead box E1 (FOXE1) gene and the occurrence of non-syndromic cleft lip with or without cleft palate (NSCL/P) in western Han Chinese population. METHODS: In the first stage, our study recruited 159 NSCL/P patients and performed targeted region sequencing to screen SNPs loci near the haplotype region of the FOXE1 gene associated with NSCL/P. In the second stage, we selected 21 common SNPs and re-enrolled 1 000 non-syndromic cleft lip only (NSCLO) patients, 1 000 non-syndromic cleft palate only (NSCPO) patients, and 1 000 normal controls to verify the association. PLINK software was used to perform Hardy-Weinberg equilibrium (HWE) test. Association analysis for common variants, gene burden analysis for rare mutations, and function prediction of SNPs with non-synonymous mutations were performed using Mutation Taster and other software programs. RESULTS: In the first stage, 126 variants, including 76 single nucleotide variants and 50 insertion-deletions were identified. All the included SNPs confirmed to HWE, and the results of gene burden analysis and prediction of functional harmfulness for rare variants were not statistically significant. Association analysis showed that rs13292899 of the FOXE1 gene was significantly associated with NSCL/P (P=1.85E-27) and was also correlated with NSCLO (P=6.41E-23) and non-syndromic cleft lip with cleft palate (NSCLP) (P=2.36E-15) subtypes. In the validation phase, rs79268293 (P=0.013, P=0.022), rs10983951 (P=0.009 2, P=0.007 6), rs117227387 (P=0.009 2, P=0.007 6), rs3758250 (P=0.009 2, P=0.007 6), and rs116899397 (P=0.009 2, P=0.007 6) were significantly associated with NSCLO and NSCPO; rs13292899 (P=0.008 5), rs74606599 (P=0.008 3), rs143226042 (P=0.008 3), and rs117236550 (P=0.01) were associated with the occurrence of NSCLO; and rs12343182 (P=0.008 7), rs10119760 (P=0.012), rs10113907 (P=0.012), and rs13299924 (P=0.012) were associated with the occurrence of NSCPO. CONCLUSIONS This study found a new susceptible SNP rs13292899 of the FOXE1 gene that is closely associated with NSCL/P and NSCLO subtype and 13 other SNPs associated with NSCLO or NSCPO.
Female ; Humans ; Male ; China ; Cleft Lip/genetics* ; Cleft Palate/genetics* ; Forkhead Transcription Factors/genetics* ; Haplotypes ; Polymorphism, Single Nucleotide ; East Asian People/genetics*

Objective To investigate the effect of different residence time of povidone iodine on the disinfection effect of conjunctival sac in senile cataract surgery.Methods A total of 396 senile patients who underwent cataract surgery in our hospital were selected and randomly divided into the long-residence group and the short-residence group,with 198 cases in each group.The patients of the long-residence group and the short-residence group were disinfected with a disposable filling 5%povidone iodine on conjunctival sac for 3 minutes and 30 seconds before surgery,respectively.The bacterial detection and bacterial distribution on conjunctival sac,and corneal epithelial cell damage were compared between the two groups.The subjective comfort conditions such as ocular itching,foreign body sensation,erythema,and photophobia after disinfection were recorded.Results There was no significant difference in the bacterial detection rate before and after disinfection between the two groups(P>0.05).The most frequently detected bacteria in the short-residence group was Staphylococcus epidermidis,accounting for 28.79%and 33.33%before and after disinfection,respectively.The incidences of ocular itching,foreign body sensation,erythema,and photophobia after disinfection in the short-residence group were significantly lower than those in the long-residence group(P<0.05),while the rate of corneal epithelial cell damage in the long-residence group was significantly higher than that in the short-residence group(P<0.05).Conclusion The use of disposable filling 5%povidone iodine for disinfection on conjunctival sac for 30 seconds before surgery can achieve a comparable disinfection effect to disinfection for 3 minutes,which has less effect on corneal epithelial cells,and higher ocular comfort.

AIM To study the chemical constituents from Dictamni Cortex.METHODS The 70％ethanol extract from Dictamni Cortex was isolated and purified by HP-20 macroporous resin,silica gel,MCI,ODS and preparative HPLC,then the structures of obtained compounds were identified by physicochemical properties and spectral data.RESULTS Thirty-three compounds were isolated and identified as rutin(1),apigenin(2),catechin(3),hesperetin(4),leonuriside A(5),androsin(6),2-methoxy-4-acetylphenol-O-α-rhamnopyranosyl-(1"-6')-β-glucopyranoside(7),vanillic acid(8),gallic acid(9),4-hydroxybenzoic acid(10),benzoic acid(11),involcranoside B(12),benzyl β-D-glucopyranoside(13),bphenylethyl-rutinoside(14),1-bromonaphthalene(15),cimifugin(16),9(S),12(S),13(S)-trihydroxyoctadeca-10(E),15(Z)-dienoic acid(17),methyl-9,12,13-trihydroxyoctadeca-10,15-dienoate(18),7,8-dihydroxy-9,12(Z,Z)-octadecadienoic acid(19),vernolic acid(20),9,10(erythro)-dihydroxy-11 E-octadecadienoic acid methyl ester(21),(7Z,9E,13Z)-11-hydroxyhexadeca-7,9,13-trienoic acid(22),(7Z,10Z,14E,16Z,19Z)-13-hydroxydocosa-7,10,14,16,19-pentaenoic acid(23),(9E)-8,11,12-trihydroxyoctadecenoic acid methyl ester(24),n-hexanol-O-rutinoside(25),hexyl β-sophoroside(26),3-pentyl 6'-(3-hydroxy-3-methylglutaryl)-β-D-glucopyranoside(27),3-methylbut-3-enyl-6-O-β-D-glucopyranosyl-β-D-glucopyranoside(28),3-methyl-but-2-en-1-yl β-D-glucopyranoside(29),3-methylbutan-1-ol-β-D-glucopyranoside(30),pregnenolone(31),2-butoxytetrahydrofuran(32),psydrin(33).CONCLUSION Compounds 2-4,8-13,15-16,25-28 and 32-33 are isolated from Rutaceae family for the first time.

Accurate pain assessment is a prerequisite for pain management.However,pain is a relatively subjective feeling greatly affected by the environment,education,and emotional state.Therefore,in diagnosing and treating pain,it is necessary not only to assess the subjective feelings of patients,but also to have stable and reliable objective indicators to evaluate the pain status of different patients.At present,there are many clinical tools for assessing and monitoring pain.This paper introduces the commonly used subjective assessment tools(single-dimensional pain assessment scale,multi-dimensional pain assessment scale)and objective assessment tools(surgical pleth index,analgesia and nociception index,nociceptive level index,and biomarkers),and analyzes their advantages and disadvantages,so as to provide reference for future clinical pain assessment.

With the rapid development of competitive sports, the incidence of anterior cruciate ligament (ACL) injury is on the rise. Such injuries may shorten athletes′ career and lead to other long-term adverse consequences. Although athletes generally recover well after ACL reconstruction, many still struggle to return to their pre-injury performance levels. Advances in the understanding of ACL anatomy and injury mechanisms, along with the evolution of surgical techniques and rehabilitation methods, have provided more individualized and tailored options for athletes following ACL injuries. However, there is currently no consensus in China regarding surgical and rehabilitation strategies for competitive athletes aiming to return to sports after ACL injuries. To this end, the Sports Medicine Committee of the Chinese Research Hospital Association and the Editorial Board of the Chinese Journal of Trauma jointly formulated the Expert consensus on surgical treatment and rehabilitation for competitive sports athletes returning to sports after anterior cruciate ligament injury ( version 2025), and presented 14 recommendations covering surgical indications, preoperative rehabilitation, surgical timing, surgical strategies and postoperative rehabilitation strategies, aiming to improve the surgical treatment and rehabilitation system for ACL injuries in competitive athletes and facilitate their return to high-level sports performance after injury.

Galectin-9 (Gal-9), a member of the β-galactoside-binding lectin family, is widely expressed in various tissues and cells. It can specifically bind to multiple glycoprotein receptors, including the receptors of Tim-3, CD44, 4-1BB/CD137, and Dectin-1, thereby regulating the activity of immune cells and participating in crucial physiological and pathological processes such as immune regulation and tumor development. Given its role in immunomodulation, Gal-9 is considered a potential target for immunotherapy, showing promising prospects in the treatment of various diseases, including autoimmune disorders, transplantation rejection, pregnancy complications, inflammation, infection, and cancer. This review summarizes the biological effects mediated by Gal-9 upon binding to its receptors, which may help to explore the potential application value of Gal-9 in clinical diagnosis and therapy.

BACKGROUND: Non-invasive computed tomography angiography (CTA)-based fractional flow reserve (CT-FFR) could become a gatekeeper to invasive coronary angiography. Deep learning (DL)-based CT-FFR has shown promise when compared to invasive FFR. To evaluate the performance of a DL-based CT-FFR technique, DeepVessel FFR (DVFFR). METHODS: This retrospective study was designed for iScheMia Assessment based on a Retrospective, single-center Trial of CT-FFR (SMART). Patients suspected of stable coronary artery disease (CAD) and undergoing both CTA and invasive FFR examinations were consecutively selected from the Beijing Anzhen Hospital between January 1, 2016 to December 30, 2018. FFR obtained during invasive coronary angiography was used as the reference standard. DVFFR was calculated blindly using a DL-based CT-FFR approach that utilized the complete tree structure of the coronary arteries. RESULTS: Three hundred and thirty nine patients (60.5 ±10.0 years and 209 men) and 414 vessels with direct invasive FFR were included in the analysis. At per-vessel level, sensitivity, specificity, accuracy, positive predictive value (PPV) and negative predictive value (NPV) of DVFFR were 94.7%, 88.6%, 90.8%, 82.7%, and 96.7%, respectively. The area under the receiver operating characteristics curve (AUC) was 0.95 for DVFFR and 0.56 for CTA-based assessment with a significant difference (P < 0.0001). At patient level, sensitivity, specificity, accuracy, PPV and NPV of DVFFR were 93.8%, 88.0%, 90.3%, 83.0%, and 95.8%, respectively. The computation for DVFFR was fast with the average time of 22.5 ± 1.9 s. CONCLUSIONS The results demonstrate that DVFFR was able to evaluate lesion hemodynamic significance accurately and effectively with improved diagnostic performance over CTA alone. Coronary artery disease (CAD) is a critical disease in which coronary artery luminal narrowing may result in myocardial ischemia. Early and effective assessment of myocardial ischemia is essential for optimal treatment planning so as to improve the quality of life and reduce medical costs.

OBJECTIVES: To investigate the molecular epidemiology of children with phenylketonuria (PKU) in Gansu, China, providing foundational data for intervention strategies. METHODS: A retrospective analysis was conducted on 1 159 PKU families who attended Gansu Provincial Maternity and Child Care Hospital from January 2012 to December 2024. Sanger sequencing, multiplex ligation-dependent probe amplification, whole exome sequencing, and deep intronic variant analysis were used to analyze the PAH gene. RESULTS: For the 1 159 children with PKU, 2 295 variants were identified in 2 318 alleles, resulting in a detection rate of 99.01%. The detection rates were 100% (914/914) in 457 classic PKU families, 99.45% (907/912) in 456 mild PKU families, and 96.34% (474/492) in 246 mild hyperphenylalaninemia families. The 2 295 variants detected comprised 208 distinct mutation types, among which c.728G>A (14.95%, 343/2 295) had the highest frequency, followed by c.611A>G (4.88%, 112/2 295) and c.721C>T (4.79%, 110/2 295). The cumulative frequency of the top 23 hotspot variants reached 70.28% (1 613/2 295), and most variant alleles were detected in exon 7 (29.19%, 670/2 295). CONCLUSIONS Deep intronic variant analysis of the PAH gene can improve the genetic diagnostic rate of PKU. The development of targeted detection kits for PAH hotspot variants may enable precision screening programs and enhance preventive strategies for PKU.
Humans ; Phenylketonurias/epidemiology* ; Female ; Male ; Retrospective Studies ; Phenylalanine Hydroxylase/genetics* ; Mutation ; Child, Preschool ; China/epidemiology* ; Child ; Infant

Objective:To preliminarily investigate the role of methylation in the epigenetic regulation of the pathogenesis of non-syndromic orofacial clefts (NSOC), and to address the gaps in previous explorations of susceptibility genes associated with NSOC.Methods:We conducted an association analysis of single nucleotide polymorphisms (SNPs) and genes related to methylation using data from a large-scale genome-wide association study involving Han Chinese patients with non-syndromic orofacial clefts and healthy controls.Results:A significant association was found between NSOC and the DNA methylation gene TET1, as well as the histone methylation gene NSD1. Specifically, the minor allele G of rs3733875 significantly increased the risk of non-syndromic cleft lip with or without palate (NSCLP) ( P=1.18×10 -4, OR=1.292), while the minor allele C of rs10998379 elevated the risk of non-syndromic cleft palate only (NSCPO) ( P=7.29×10 -5, OR=1.268); conversely, the minor allele T of rs4558056 was identified as a protective factor for NSCL/P ( P=1.17×10 -4, OR=0.792). Conclusions:This study revealed that the DNA methylation gene TET1 and the histone methylation gene NSD1 are associated with NSOC. The pathogenesis of NSOC involves interactions among multiple factors, including genetic, environmental, and epigenetic determinants, among which methylation modifications represent a crucial component.

Objective:To analyze the prognostic factors of patients with liver cirrhosis and portal vein thrombosis (PVT), and to construct a prognostic prediction model based on machine learning methods.Methods:The clinical data of 388 patients with liver cirrhosis and PVT admitted to the Fifth Medical Center of PLA General Hospital from January 2022 to April 2024 were retrospectively collected and analyzed, including 243 males and 145 females, aged (56.9±10.9) years. A total of 388 patients were randomly divided into the training set ( n=310) and the testing set ( n=78) in a 4∶1 ratio. The Boruta algorithm was used to screen the key features in the training set, and then four machine learning algorithms, including random forest, support vector machine, generalized linear model and Bayesian, were used to establish a survival prediction model. Model performance was evaluated by the receiver operating characteristic (ROC) curves of the test set and the training set. The patients were followed up for 1 year for survival. Sort the importance of features based on the SHAP value. Results:There were 250 patients (80.6%) who survived and 60 (19.4%) who died. The model for end-stage liver disease score, total bilirubin, serum creatinine, prothrombin time, international normalized ratio, D-dimer, white blood cell count, severe ascites ratio, and Child-Pugh grade C ratio of liver function in the death group were higher than those in the survival group, and the red blood cell count and hematocrit were lower than those in the survival group, and the differences were statistically significant (all P<0.05). The areas under the ROC curve for predicting survival by random forest, support vector machine, generalized linear model and Bayesian model were 0.92, 0.78, 0.81 and 0.71 in the training set, and the area under the ROC curve in the testing set were 0.81, 0.72, 0.67 and 0.68, respectively. Random forest had the best prediction performance, with an accuracy of 81.7%, a sensitivity of 84.6%, and a specificity of 76.9% in the testing set. In the analysis of the importance of characteristic parameters of the random forest model, total bilirubin, red blood cells, hematocrit, serum creatinine, ascites classification, etc. had a relatively high contribution to the model. Conclusion:In the survival prediction model of patients with liver cirrhosis and PVT based on machine learning algorithm, the random forest model had high prediction performance, and total bilirubin may be the most important factor affecting the survival prognosis of patients.