The association between uric acid and erectile dysfunction in US adults: NHANES 2001-2004.

BACKGROUND: -Recent evidence suggests that hyperuricemia may act as independent risk factors for erectile dysfunction (ED), in addition to the already established factors. The current evidence supporting this relationship remains insufficient. METHODS AND RESULTS: -A total of 3,810 participants from the NHANES pool between 2001 and 2004 were included in our study, comprising 1,093 individuals with ED and 2,717 individuals without ED. Univariable and multivariable logistic regression analyses were conducted to examine the relationship between uric acid (UA) and the prevalence of ED. In the fully adjusted model, no significant association was observed between UA and ED (OR = 1.02, 95% CI: 0.84-1.24), and no significant differences were noted among the various UA levels (p = 0.5). In our sensitivity analyses, employing a stricter definition for ED, no significant results were found in the fully adjusted model (OR = 0.85, 95% CI: 0.60-1.19). Furthermore, no significant differences were observed among the various UA levels (p = 0.083). CONCLUSIONS: -Our study did not establish a correlation between UA levels and ED. Nonetheless, further research with larger sample cohorts is required to verify these findings.

Comparison of genomic prediction methods for early growth traits of Inner Mongolia cashmere goats based on multi trait models.

Inner Mongolia cashmere goat is an excellent livestock breed formed through long-term natural selection and artificial breeding, and is currently a world-class dual-purpose breed producing cashmere and meat. Multi trait animal model is considered to significantly improve the accuracy of genetic evaluation in livestock and poultry, enabling indirect selection between traits. In this study, the pedigree, genotype, environment, and phenotypic records of early growth traits of Inner Mongolia cashmere goats were used to build multi trait animal model., Then three methods including ABLUP, GBLUP, and ssGBLUP wereused to estimate the genetic parameters and genomic breeding values of early growth traits (birth weight, weaning weight, average daily weight gain before weaning, and yearling weight). The accuracy and reliability of genomic estimated breeding value are further evaluated using the five fold cross validation method. The results showed that the heritability of birth weight estimated by three methods was 0.13-0.15, the heritability of weaning weight was 0.13-0.20, heritability of daily weight gain before weaning was 0.11-0.14, and the heritability of yearling weight was 0.09-0.14, all of which belonged to moderate to low heritability. There is a strong positive genetic correlation between weaning weight and daily weight gain before weaning, daily weight gain before weaning and yearling weight, with correlation coefficients of 0.77-0.79 and 0.56-0.67, respectively. The same pattern was found in phenotype correlation among traits. The accuracy of the estimated breeding values by ABLUP, GBLUP, and ssGBLUP methods for birth weight is 0.5047, 0.6694, and 0.7156, respectively; the weaning weight is 0.6207, 0.6456, and 0.7254, respectively; the daily weight gain before weaning was 0.6110, 0.6855, and 0.7357 respectively; and the yearling weight was 0.6209, 0.7155, and 0.7756, respectively. In summary, the early growth traits of Inner Mongolia cashmere goats belong to moderate to low heritability, and the speed of genetic improvement is relatively slow. The genetic improvement of other growth traits can be achieved through the selection of weaning weight. The ssGBLUP method has the highest accuracy and reliability in estimating genomic breeding value of early growth traits in Inner Mongolia cashmere goats, and is significantly higher than that from ABLUP method, indicating that it is the best method for genomic breeding of early growth weight in Inner Mongolia cashmere goats.

Dynamics in digital finance and its impact on SME financing.

Employing the Complex Adaptive System (CAS) framework, we analyzed the evolution of digitally transformed financial networks, underscoring the pivotal role of adaptation and learning among network participants. Government funds supporting banks and platforms in digital transformation prove more effective than direct subsidies to SMEs. Achieving sustainable development requires an optimal balance between investment and efficiency due to the impact of digitalization costs on constructing digital financial networks. The study advocates for a long-term microcredit financing mode tailored to SMEs, aiding them in maintaining financial stability. Additionally, intermediary nodes within the network, such as credit rating companies, can facilitate information sharing, thereby fostering the growth of digital financial networks. This heightened information sharing enhances the payoff for each subject and reduces financing constraints. Furthermore, the study establishes that digital financial networks can alleviate the repercussions of unforeseen events, such as the COVID-19 pandemic. Finally, empirical analysis of the Beijing University Inclusive Finance Index data and financial records of Chinese SMEs listed on the New Third Board from 2016 to 2018 confirms that digital finance can alleviate the financing constraints of SMEs. In summary, the progression of digital financial networks is intricate, necessitating a thorough comprehension of diverse factors. The government is encouraged to guide the enhancement of relevant systems and regulations, bolstering supervision, and facilitating the high-quality development of digital finance networks.

An improved algorithm based on YOLOv5 for detecting Ambrosia trifida in UAV images.

A YOLOv5-based YOLOv5-KE unmanned aerial vehicle (UAV) image detection algorithm is proposed to address the low detection accuracy caused by the small size, high density, and overlapping leaves of Ambrosia trifida targets in UAV images. The YOLOv5-KE algorithm builds upon the YOLOv5 algorithm by adding a micro-scale detection layer, adjusting the hierarchical detection settings based on k-Means for Anchor Box, improving the loss function of CIoU, reselecting and improving the detection box fusion algorithm. Comparative validation experiments of the YOLOv5-KE algorithm for Ambrosia trifida recognition were conducted using a self-built dataset. The experimental results show that the best detection accuracy of Ambrosia trifida in UAV images is 93.9%, which is 15.2% higher than the original YOLOv5. Furthermore, this algorithm also outperforms other existing object detection algorithms such as YOLOv7, DC-YOLOv8, YOLO-NAS, RT-DETR, Faster RCNN, SSD, and Retina Net. Therefore, YOLOv5-KE is a practical algorithm for detecting Ambrosia trifida under complex field conditions. This algorithm shows good potential in detecting weeds of small, high-density, and overlapping leafy targets in UAV images, it could provide technical reference for the detection of similar plants.

Factors Associated with Intention to Use Telerehabilitation for Children with Special Needs: A Cross-Sectional Study.

Background: Children with special health care needs (CSHCN) require long-term and ongoing rehabilitation interventions supporting their development. Telerehabilitation can provide continuous rehabilitation services for CSHCN. However, few studies have explored the intention of CSHCN and their caregivers to use telerehabilitation and its impact on them. Objective: The objective of this study was to identify factors that influence the intention to use telerehabilitation among CSHCN and their caregivers. Methods: This study was a cross-sectional study. Based on the unified theory of acceptance and use of technology, extended with additional predictors (trust and perceived risk [PR]), this study developed a research model and proposed 10 hypotheses. A structured questionnaire was distributed to 176 caregivers. Data were analyzed and research hypotheses were tested using partial least squares structural equation modeling to better understand the factors influencing the use of telerehabilitation. Results: A total of 164 valid questionnaires were collected. CSHCN and their caregivers were overall satisfied with this telerehabilitation medical service. The results of the structural model analysis indicated that social influence (SI), facilitating conditions (FC), and trust had significant effects on behavioral intention (BI) to use telerehabilitation, while the paths between performance expectancy (PE), effort expectancy (EE), and PR and BI were not significant. PE, EE, and SI had a significant effect on trust. Moreover, EE and SI had indirect effects on BI, with trust as the mediator. Conclusions: The results indicated that SI, FC, and trust are significant factors influencing CSHCN and their caregivers' use of telerehabilitation. Trust is also an important mediator for the intention and highly influenced by PE, EE, and SI.

Uncovering Potentially Therapeutic Phytochemicals, In silico Analysis, and Biological Assessment of South-Chinese Red Dragon Fruit (Hylocereus polyrhizus).

Red dragon fruit is gaining popularity globally due to its nutritional value and bioactive components. The study aimed to assess the phytochemical, nutritional composition, antioxidant, antibacterial, and cytotoxic properties of extracts from the South Chinese red dragon fruit peel, flesh, and seeds. Extract fractions with increasing polarity (ethyl acetate

Sodium nitrophenolate mediates brassinosteroids signaling to enhance cold tolerance of cucumber seedling.

Cold stress (CS) significantly limits cucumber yield. However, it remains unclear whether and how sodium nitrophenolate (CSN) regulates plant responses to cold stress. Here, H2O, CSN, 24-epibrassinolide (EBR), and CSN + EBR were sprayed on cucumber seedlings before or after CS, and on control plants. We found that CSN, EBR, or EBR + CSN pre-treatment improved seedling growth under normal conditions (control condition) and cold tolerance under CS conditions. EBR pre-treatment promoted the expression of approximately half of the genes involved in BR synthesis and signaling and CsICE-CsCBF-CsCOR under CS. However, CSN pre-treatment promoted almost all the expression of BR synthesis and signaling genes, and CsICE-CsCBF-CsCOR genes, which showed the highest expression in early CS, remarkably improving the cold tolerance of cucumber. Interestingly, EBR and CSN had a superimposed effect on the expression of BR synthesis and signaling and CsICE-CsCBF-CsCOR genes, which rapidly increased their expression under normal temperature. Spraying EBR after CS accelerated seedling recovery, whereas CSN had the opposite effect. However, spraying CSN combined with EBR accelerated the recovery of CS-injured seedlings and was better than spraying EBR alone. Although CS-injured seedlings were negatively influenced by CSN, pre-treatment with CSN accelerated seedling growth and increased cold tolerance, suggesting that the effect of CSN was related to whether the seedlings were damaged by CS. In conclusion, we firstly found that CSN enhanced cold tolerance by activating BR signaling, contributing to the gene expression of ICE-CBF-COR and that CSN + EBR contributed to cold tolerance and CS-injured seedling recovery in cucumber.

Trends of heart disease death and prediction of life expectancy without cause of death in Qidong City in 1990-2019 / 公共卫生与预防医学

Objective To analyze the trend of heart disease death and the life expectancy without cause of death in Qidong City, Jiangsu Province from 1990 to 2019, and to provide reference for the prevention and control of heart disease. Methods Data on heart disease deaths among residents in Qidong City from 1990 to 2019 were collected through the Qidong City Death Registration and Monitoring System. The crude mortality rate (CR) and Chinese age-standardized mortality rate (CASR), potential years of life loss (PYLL), average years of life loss (AYLL), potential life loss years rate (PYLLR), life expectancy, and life expectancy without cause of death were calculated, and the annual percentage change (APC) was used to analyze the trend of heart disease death. Using SAS9.2 software, the death trend prediction was conducted by the ARIMA model in time series analysis. Results From 1990 to 2019, 27,762 residents died of heart disease in Qidong City, with a CR of 81.20/100 000 and an APC of 3.734%. There were 12 358 deaths of heart disease in men, with a CR of 73.24/100 000 and an APC of 3.86%, while there were 15 404 deaths of heart disease in women, with a CR of 88.95/100 000 and an APC of 3.63%. CR showed an upward trend (all P < 0.001). The PYLL for heart disease was 66 192.00 person-years, the AYLL was 13.23 person-years, and the PYLLR was 2.16‰. The life expectancy loss from heart disease was gradually increasing: 0.89 years in 1990 to 1.85 years in 2019, with an APC of 0.405% (P<0.001, a statistically significant trend). The prediction results showed that in 2029, the life expectancy after heart disease would reach 88.17 years. Conclusion From 1990 to 2019, the crude mortality rate of heart disease in Qidong City has showed an increasing trend, leading to an increasing loss of life due to heart disease year by year. The mortality rate and life loss of heart disease in women are higher than those in men. Targeted intervention measures should be further adopted to reduce the mortality rate of heart disease among residents in Qidong.

Effect of LncRNA p21 regulating Hippo-YAP signaling pathway on formation of abdominal aortic aneurysm in mice and its mechanism / 中国药理学通报

Aim To investigate the effect of long non- coding RNA p21 (LncRNA p21) regulating Hippo- Yes-associated protein (Hippo-YAP) signaling pathway on the formation of abdominal aortic aneurysm (AAA) in mice. Methods C57BL/6 ApoE

Intervention effects of moderate and high intensities of classroom physical activity on cardiorespiratory fitness and executive function among junior grade one students in Tibetan / 中国学校卫生

Objective@#To explore the intervention effect of different intensity of classroom physical exercise on cardiorespiratory fitness and executive function of Tibetan first grade students at high altitude, so as to provide reference for improving the level of cardiorespiratory fitness and executive function of Tibetan adolescents.@*Methods@#From September to December 2020, 184 Tibetan students from five first grade classes in a middle school in Lhasa, Tibet, were randomly assigned into a control group (81 students in two classes) and an intervention group (103 students in three classes). Both groups followed the same teaching programme, but the intervention group received 36 sessions of moderate to high intensity classroom physical activity, one session per day, Monday,Wednesday and Friday, for 12 weeks. Before and after the intervention, cardiorespiratory fitness and executive function were tested by 20m round trip running and Flanker s experimental paradigm, 2-back s experimental paradigm, and More odd shifting experimental paradigm for inhibitory control, refreshing memory, and switching flexibility, and the results were analysed by analysis of covariance (ANCOVA) to compare the results of the pre and post intervention periods.@*Results@#The maximum oxygen uptake (VO 2max ) of Tibetan first grade students in the intervention group increased by 2.25 mL/(kg〖WW）〗·〖WW(〗min) compared with the control group after the intervention ( t =-3.89, P <0.01); the response time of the inhibitory function was reduced by 4.40 ms, that of the refreshing function by 196.06 ms, and that of the switching function by 92.72 ms in the intervention group compared with the control group ( t =2.98, 4.82 ,3.21, P <0.05).@*Conclusion@#The 12 week moderate to high intensity classroom physical activity intervention has different degrees of improvement effects on cardiorespiratory fitness and executive function in Tibetan adolescents.

Interpretation of the updates of the NCCN esophageal and esophagogastric junction cancers clinical practice guidelines in oncology (version 3. 2023) / 中国胸心血管外科临床杂志

@#Esophageal cancer is the seventh most common cancer worldwide. On August 29, 2023, National Comprehensive Cancer Network (NCCN) released the NCCN esophageal and esophagogastric junction cancers clinical practice guidelines in oncology (version 3. 2023). This article aims to highlight the key updates in treatment and follow-up recommendations between the version 3 and the version 2 in 2023, providing the latest guidance for the management of esophageal cancer in our country.

Time series-based hybrid ensemble learning model with multivariate multidimensional feature coding for DNA methylation prediction.

BACKGROUND: DNA methylation is a form of epigenetic modification that impacts gene expression without modifying the DNA sequence, thereby exerting control over gene function and cellular development. The prediction of DNA methylation is vital for understanding and exploring gene regulatory mechanisms. Currently, machine learning algorithms are primarily used for model construction. However, several challenges remain to be addressed, including limited prediction accuracy, constrained generalization capability, and insufficient learning capacity. RESULTS: In response to the aforementioned challenges, this paper leverages the similarities between DNA sequences and time series to introduce a time series-based hybrid ensemble learning model, called Multi2-Con-CAPSO-LSTM. The model utilizes multivariate and multidimensional encoding approach, combining three types of time series encodings with three kinds of genetic feature encodings, resulting in a total of nine types of feature encoding matrices. Convolutional Neural Networks are utilized to extract features from DNA sequences, including temporal, positional, physicochemical, and genetic information, thereby creating a comprehensive feature matrix. The Long Short-Term Memory model is then optimized using the Chaotic Accelerated Particle Swarm Optimization algorithm for predicting DNA methylation. CONCLUSIONS: Through cross-validation experiments conducted on 17 species involving three types of DNA methylation (6 mA, 5hmC, and 4mC), the results demonstrate the robust predictive capabilities of the Multi2-Con-CAPSO-LSTM model in DNA methylation prediction across various types and species. Compared with other benchmark models, the Multi2-Con-CAPSO-LSTM model demonstrates significant advantages in sensitivity, specificity, accuracy, and correlation. The model proposed in this paper provides valuable insights and inspiration across various disciplines, including sequence alignment, genetic evolution, time series analysis, and structure-activity relationships.

The efficacy of immune checkpoint inhibitors is limited in elderly NSCLC: a retrospective efficacy study and meta-analysis.

Immune checkpoint inhibitors (ICIs) have improved the long-term survival of NSCLC patients. However, the efficacy of ICIs in elderly NSCLC patients remains controversial. We conducted a retrospective study and meta-analysis exploring the efficacy of ICIs in those patients using public databases and RCTs. NSCLC patients were identified into elderly and non-elderly groups by age 75 years. The retrospective study showed significant differences in OS and PFS between non-elderly and elderly patients treated with ICIs (P= 0.029 and 0.027), with reduced efficacy in elderly NSCLC patients. ECOG PS also negatively affected OS in elderly NSCLC patients (P= 0.007). In meta-analysis, the HR for OS in the non-elderly and elderly groups were 0.74 and 0.90, respectively, and the difference between the two age groups was statistically significant (P= 0.025). ICIs resulted in a lower incidence of all-grade (OR= 0.47) and high-grade TRAEs (OR= 0.38) than chemotherapy. Our findings revealed that the survival benefit of ICIs in elderly patients (≥ 75 years) may be lower than in non-elderly patients. In addition, the incidence of TRAEs induced by ICIs was lower than chemotherapy.

Hepatic transcriptome delineates the therapeutic effects of Sanren Tang on high-fat diet-induced non-alcoholic fatty liver disease.

OBJECTIVE: To evaluate the effects of Sanren Tang (SRT, ) on a high-fat diet (HFD)-induced non-alcoholic fatty liver disease (NAFLD) in mice and to investigate the hepatic transcriptome regulated by SRT. METHODS: The primary SRT components were identified using ultra-high-performance liquid chromatography-high-resolution accurate mass spectrometry. The SRT-induced pharmacological effects on HFD-induced NAFLD were evaluated in mice for 16 weeks. Obeticholic acid was used as a control drug. Body weight, food intake, and homeostatic model assessment for insulin resistance (HOMA-IR) index were analysed. Hepatic histological changes were observed in haematoxylin and eosin-stained sections and quantified using the NAFLD activity score (NAS). Serum alanine aminotransferase (ALT) and hepatic triglyceride (TG) levels were measured. Lipids in hepatocytes were visualised by Oil red staining. RNA-sequencing was performed to determine the transcriptome profile of the liver tissue. The differentially expressed genes were validated using real-time polymerase chain reaction and Western blotting. RESULTS: Four principal compounds were identified in the SRT: adenosine, amygdalin, luteoloside, and magnolol. SRT ameliorated hepatic histology and lipid deposition in the NAFLD mice, and decreased HOMA-IR, NAS and ALT, and hepatic TG levels. Hepatic transcriptome analysis revealed 232 HFD-regulated genes that were reversed by SRT simultaneously. Retinol metabolism, cytokine-cytokine receptor interaction, and peroxisome proliferator-activated receptor (PPAR) γ signalling were the top three SRT-regulated pathways in NAFLD. CONCLUSIONS: SRT significantly ameliorated HFD-induced NAFLD, which was correlated with the regulation of genes enriched in the retinol metabolism, cytokine-cytokine receptor interaction, and PPARγ signalling pathways.

Single-cell data analysis of malignant epithelial cell heterogeneity in lung adenocarcinoma for patient classification and prognosis prediction.

Lung cancer is one of the leading causes of cancer-related death. Most advanced lung adenocarcinoma (LUAD) patients have poor survival because of drug resistance and relapse. Neglecting intratumoral heterogeneity might be one of the reasons for treatment insensitivity, while single-cell RNA sequencing (scRNA-seq) technologies can provide transcriptome information at the single-cell level. Herein, we combined scRNA-seq and bulk RNA-seq data of LUAD and identified a novel cluster of malignant epithelial cells - KRT81+ malignant epithelial cells - associated with worse prognoses. Further analysis revealed that the hypoxia and EMT pathways of these cells were activated to predispose them to differentiate into metastatic lung adenocarcinoma cells. Finally, we also studied the role of these tumor cells in the immune microenvironment and their role in the classification and prognosis prediction of lung adenocarcinoma patients.

SaPt-CNN-LSTM-AR-EA: a hybrid ensemble learning framework for time series-based multivariate DNA sequence prediction.

Biological sequence data mining is hot spot in bioinformatics. A biological sequence can be regarded as a set of characters. Time series is similar to biological sequences in terms of both representation and mechanism. Therefore, in the article, biological sequences are represented with time series to obtain biological time sequence (BTS). Hybrid ensemble learning framework (SaPt-CNN-LSTM-AR-EA) for BTS is proposed. Single-sequence and multi-sequence models are respectively constructed with self-adaption pre-training one-dimensional convolutional recurrent neural network and autoregressive fractional integrated moving average fused evolutionary algorithm. In DNA sequence experiments with six viruses, SaPt-CNN-LSTM-AR-EA realized the good overall prediction performance and the prediction accuracy and correlation respectively reached 1.7073 and 0.9186. SaPt-CNN-LSTM-AR-EA was compared with other five benchmark models so as to verify its effectiveness and stability. SaPt-CNN-LSTM-AR-EA increased the average accuracy by about 30%. The framework proposed in this article is significant in biology, biomedicine, and computer science, and can be widely applied in sequence splicing, computational biology, bioinformation, and other fields.

Application of serum gastric function markers and digestive tumor indices to the diagnosis of early gastric cancer and precancerous lesions.

OBJECTIVES: To study the levels of carcinoembryonic antigen (CEA), carbohydrate antigen (CA) 199, CA724, CA242, pepsinogen (PG) I, PGII, gastrin-17 (G-17), the PGI/PGII ratio (PGR), as well as the expression of p27 and Ki67, in patients suffering from early gastric cancer and intraepithelial neoplasia and to provide new markers for the diagnosis of early gastric cancer and precancerous lesions. METHODS: A retrospective study where the blood serum concentration of CEA, CA199, CA724, CA242, PGI, PGII, G-17 and PGR were tested and also the protein expression of p27 and Ki67 was detected in patients tissues by immunohistochemistry in the Gastrointestinal Endoscopy Center of the Affiliated Hospital of Xuzhou Medical University, Xuzhou, China, from March 2018 to March 2021. RESULTS: Carbohydrate antigen 242 and CA199 levels in tumor tissue significantly differed among the groups. Pepsinogen I levels decreased with increasing disease severity, G-17 levels increased with the aggravation of severity, and p27 expression decreased with the severity. CONCLUSION: The combination of serum gastric function markers (PGI and G-17) and p27 digestive tumor indices can serve as markers for the diagnosis of early gastric cancer and intraepithelial neoplasia.

Fecal microbiota transplantation in obesity metabolism: A meta analysis and systematic review.

OBJECTIVE: The effect of fecal microbiota transplantation (FMT) on microbiota engraftment in patients with metabolic syndrome remains unclear. This systematic review employed a meta-analysis of RCTs for assessment on the role of FMT in treating obesity and metabolic syndrome, and its impact on clinically relevant parameters. METHOD: Major databases and grey literatures were searched identifying RCTs comparing FMT of lean donors with placebo in obese/metabolic syndrome patients. Studies using any form of placebo were included. Variations in the parameters before and after treatment were calculated followed by meta-analyses. RESULT: Ten studies met the inclusion criteria and a total of 334 patients were included for further analysis. Clinically significant parameters associated with obesity and metabolic syndrome were explored and FMT was identified significantly and negatively associated with most indices of abdominal adiposity including caloric intake, fasting glucose, HOMA-IR, systolic blood pressure, diastolic blood pressure, total cholesterol, HDL, LDL, triglycerides and CRP, Obesity parameters including fasting glucose and acetic acid were increased following FMT. CONCLUSION: FMT is more advantageous for obese patients with elevated blood pressure, disordered glucose and insulin metabolism, and elevated blood lipids. The study of metabolic factors in obese patients will be our starting point in the future.

Recent advances in quinolone hybrids with potential antibacterial activity against drug-resistant bacteria.

Quinolone derivatives, represented by fluoroquinolones, have emerged as the most commonly prescribed antibacterials for the treatment of various bacterial infections. In particular, the combination of a quinolone moiety with other antibacterial pharmacophores has the potential to act on different drug targets, which in turn, overcome drug resistance. Accordingly, quinolone hybrids are useful prototypes for fighting drug-resistant pathogens. The purpose of the present review is to provide an emphasis on the current scenario of quinolone hybrids with potential antibacterial activity against drug-resistant pathogens, covering articles published in the past 10 years. The structure-activity relationships, various aspects of rational design and mechanisms of action are also discussed to facilitate further rational development of more effective candidates.

Association Between rs2200733 Polymorphism of PITX2 Gene and the Risk of Atrial Fibrillation.

BACKGROUND: As observed in recent genetic studies, PITX2 is one of the most popular genes with atrial fibrillation; single nucleotide polymorphism (rs2200733) at chromosome 4q25 (near PITX2) is found to be strongly associated with atrial fibrillation, but it has a difference among Chinese Han population. The basic aim of conducting this study is to find the correlation between PITX2 gene polymorphism and the risk of atrial fibrillation and to identify the possibility for early diagnosis of silent atrial fibrillation and high-risk atrial fibrillation. METHODS: The study included 98 cases of atrial fibrillation patients and 88 non-atrial fibrillation patients in Affiliated Hospital of Yangzhou University were enrolled in a case-control study. The single nucleotide polymorphism of rs2200733 at 4q25 near PITX2 was genotyped by polymerase chain reaction-restriction fragment length polymorphism analysis. RESULTS: A total of 98 patients with atrial fibrillation were genotyped, and the following frequencies were included in genotype percentages (44.9%, 50%, and 5.1%) while distribution of significant single nucleotide polymorphism rs2200733 consisted (29.55%, 53.41%, and 17.05%) which showed (χ2 = 9.159, P =.01). There was no significant difference in TC genotype frequency (P =.642), frequency of T allele (χ2 = 7.447, P =.006), and T allele was 1.806 times that of the control group (odds ratio = 1.806, 95% CI = 1.179-2.766, P =.006). According to logistic regression analysis, following results were concluded for TC genotype (odds ratio = 3.128, 95% CI = 1.053-9.287, P =.04), or TT genotype (odds ratio = 5.077, 95% CI = 1.653-15.595, P =.005) increased the risk of atrial fibrillation. CONCLUSIONS: The genotype and allele frequency distribution of rs2200733 (T/C) near PITX2 is different in the atrial fibrillation group and the control group. The T allele is a risk factor for atrial fibrillation. Compared with the CC genotype, the TT genotype increased the risk of atrial fibrillation.