Objective:To explore the causal association of glucose-lipid metabolism and obesity indicators with myocardial infarction by a two-sample Mendelian randomization analysis.Methods:Single nucleotide polymorphisms (SNPs) related to phenotypes were obtained from genome-wide association study databases. The body mass index (BMI) and glycated hemoglobin dataset includes 99 998 samples and 8 126 035 SNPs; the waist-to-hip ratio dataset includes 224 459 samples and 2 562 516 SNPs; the waist circumference and hip circumference dataset includes 462 166 samples and 9 851 867 SNPs; the fasting glucose dataset includes approximately 12 million SNPs; the low-density lipoprotein cholesterol (LDL-C) dataset includes 201 678 samples and 12 321 875 SNPs; the high-density lipoprotein cholesterol (HDL-C), and triglycerides dataset includes 156 109 samples and 15 784 414 SNPs; and the body fat percentage, whole-body fat mass, trunk fat percentage, and trunk fat mass dataset includes 454 588 samples and 9 851 867 SNPs. This study primarily used inverse-variance weighted method to analyze the associations between various exposure factors and outcomes. Heterogeneity among SNPs was assessed using Cochran′s Q test, and horizontal pleiotropy of SNPs was examined using the MR-Egger method. Additionally, a multivariable MR approach was used to adjust for BMI, further validating associations between exposure factors and the risk of myocardial infarction. Results:Higher BMI ( OR=1.070, 95% CI: 1.041-1.100), waist-to-hip ratio ( OR=1.366, 95% CI: 1.113-1.677), LDL-C ( OR=1.638, 95% CI: 1.488-1.803), triglycerides ( OR=1.445, 95% CI: 1.300-1.606), waist circumference ( OR=1.841, 95% CI: 1.650-2.055), hip circumference ( OR=1.247, 95% CI: 1.132-1.372), body fat percentage ( OR=1.795, 95% CI: 1.568-2.055), whole-body fat mass ( OR=1.519, 95% CI: 1.381-1.670), trunk fat percentage ( OR=1.538, 95% CI: 1.374-1.723), and trunk fat mass ( OR=1.421, 95% CI: 1.294-1.561), as well as lower HDL-C ( OR=0.799, 95% CI: 0.729-0.875), have causal effects on myocardial infarction (all P<0.05). After adjusting for BMI, hip circumference, trunk fat percentage, and trunk fat mass were no longer associated with myocardial infarction. However, waist-to-hip ratio ( OR=1.457, 95% CI: 1.132-1.877), fasting glucose ( OR=1.191, 95% CI: 1.024-1.383), glycated hemoglobin ( OR=1.129, 95% CI: 1.034-1.233), LDL-C ( OR=1.592, 95% CI: 1.314-1.929), triglycerides ( OR=1.410, 95% CI: 1.279-1.553), waist circumference ( OR=1.922, 95% CI: 1.448-2.551), body fat percentage ( OR=1.421, 95% CI: 1.072-1.884), and whole-body fat mass ( OR=1.295, 95% CI: 1.031-1.626) remained positively associated with myocardial infarction, while HDL-C ( OR=0.809, 95% CI: 0.729-0.897) remained negatively associated. Conclusions:Abdominal obesity and dysregulation of glucose-lipid metabolism are risk factors for myocardial infarction. Screening for glucose-lipid metabolism (fasting glucose, HDL-C, LDL-C, triglycerides) and obesity-related indicators (waist circumference, waist-to-hip ratio, body fat percentage, and whole-body fat mass) is of great importance for the primary prevention of myocardial infarction.

Myocardial ischemia reperfusion injury(MIRI)has become one of the most serious complications affecting the clinical outcome of patients with cardiovascular diseases.The immune inflammatory response of macrophages is closely related to the occurrence and development of MIRI.Many studies have shown that the NF-κB signaling pathway can participate in MIRI regulation by influencing the polarization and inflammatory state of macrophages,pyrodeath,infiltration and other functions,and is a potential target for MIRI therapy.Therefore,this article will review the research progress of NF-κB signaling pathway between macrophage function and MIRI regulation.

Objective:To evaluate the characteristics of vaginal flora between normal and abnormal pregnant women throughout pregnancy.Methods:Vaginal swab specimens were collected from pregnant women in the first (<14 gestation weeks, GW), second (14~28 GW) and third trimester (>28 GW) in Anqing, Anhui Province from February 2018 to February 2020. Pregnant women were divided into normal and abnormal groups according to all clinical diagnosis. The sequences of 16S rRNA gene (V3-V4) from vaginal swabs were analyzed using QIIME2 platform. The differences in the dominance of Lactobacillus, community state type (CST) transition, Alpha diversity and Beta diversity were analyzed. Diversity data after log transition were used in the analysis of linear mixed model. Results:A total of 34 pregnant women (10 normal and 24 abnormal) with 102 samples were included for analysis. The composition of vaginal flora between two groups: the relative abundance of Lactobacillus was the highest at the genus level and Lactobacillus crispatus and Lactobacillus iners was the top two species with high relative abundance. The dominance of Lactobacillus, Alpha diversity and transition of CST were also similar. Both groups had a gradually decreased trend of Alpha diversity with GW, and the Chao1, Observed species and Faith′s PD indexes′ were different in different GW ( P<0.05). All Beta diversity metrics in normal group had descending trend, with lower value of the index of first distance which implied a higher microbiota stability, while Bray-Curtis, Weighted UniFrac distance had ascending trend in abnormal group, indicating lower stability. Jaccard distance′s first distance was statistically differed among GW and Unweighted UniFrac distance′s differed between normal and abnormal groups. Conclusions:The first distance of Unweighte UniFrac distance in abnormal pregnant women is higher than that of normal pregnant women and the vaginal flora in abnormal group has lower stability.

Objective:To study the characteristics of vaginal microbiota in pregnant women with premature rupture of membranes (PROM) and to establish prediction models for PROM.Methods:This study involved 35 women with preterm premature rupture of membranes (PPROM), 180 with term premature rupture of membranes (TPROM) and 255 term birth cases without premature rupture of membranes (TBWPROM, control group). The V3-V4 hypervariable region sequences in the vaginal samples collected at 16-28 weeks of gestation were detected by 16S rRNA gene next-generation sequencing. The differences in Alpha and Beta diversity, and the attributes and metabolic function prediction of each recognized species among the three groups were analyzed. Subsequently, a random forest model was used to establish the prediction models for PROM using vaginal microbiota species and environmental risk factors.Results:Compared with the control group, the Alpha diversity of the PPROM group was higher (Observed features, P=0.022; Faith_pd index, P=0.024) and Beta diversity was also significantly different (Unweighted UniFrac, P=0.010; Jaccard index, P=0.008). In PPROM cases, Megasphaera genomosp. typeⅠ was significantly increased ( P=0.017) and Lactobacillus mulieris was significantly decreased ( P=0.003). In the patients with TPROM, Megasphaera was significantly increased ( P=0.009) and Lactobacillus mulieris was significantly decreased ( P=0.002). In terms of functional pathways, sulfur oxidation ( P=0.021), methanogenesis from acetate ( P=0.036), L-histidine biosynthesis ( P=0.009), adenosylcobalamin biosynthesis ( P=0.041) and fucose degradation ( P=0.001) were significantly increased in patients with PPROM; L-histidine biosynthesis ( P<0.001) and fucose degradation ( P=0.030) were significantly increased in patients with TPROM. The prediction models were established using the random forest model with vaginal microbiota species and environmental risk factors and the prediction model for PPROM performed well [AUC: 0.739 (95%CI: 0.609-0.869), sensitivity: 0.928, specificity: 0.659, positive predictive value: 0.750, negative predictive value: 0.906], which had a certain reference value. Conclusions:Vaginal microbiota might be related to the development and progression of PROM. Studying the differences in vaginal microbiota might provide a new idea for the prevention and treatment of PROM. Functional prediction provided a direction for further research on the mechanism of PROM. The established prediction model could prevent the occurrence of PPROM and promote maternal and infant health.

OBJECTIVE Parkinson's disease(PD)is a progressive neurodegenerative disease clinically char-acterized by dyskinesia,tremor,rigidity,abnormal gait,whereas 90%of patients with PD suffer from defects of the sense of smell before the appearance of the motor dysfunctions.However,the mechanism of olfactory disor-der is still not clear.METHODS We utilized olfaction based delayed paired association task in head-fixed mice.We focused on functional role of neural circuit using opto-genetic techniques.In addition,we viewed the synaptic transmission by slice physiological recording and count-ed the cell number of targeted circuits.RESULTS AND CONCLUSION In our experiments,olfactory working memory impairments were found in the PD mice,and the working memory impairment appeared before motor dys-functions.Furthermore,we also investigated the functional role of neural circuit for olfactory working memory in PD mice.Meanwhile,the excitatory post synaptic currents were decreased as a result of presynaptic release proba-bility suppression in PD mice.However cell loss wasn't found in working memory related circuit recently.These will provide a new idea of clinic diagnosis for PD.

Objective:To study the characteristics and influencing factors of vaginal microbiota in normal pregnant women.Methods:This study was based on a cohort of pregnant women established in Anqing Municipal Hospital Affiliated to Anhui Medical University from February 2018 to February 2020. Vaginal samples of normal pregnant women who met the inclusion and exclusion criteria were ordered by the gestational weeks at sampling. Five samples were randomly selected from each gestational week group and if the samples were less than five, all samples were included. Sequencing of the V3-V4 region of the 16S rRNA gene was performed. Dominant species were analyzed by MicrobiomeAnalyst. Alpha diversity was measured with Chao1, Observed Features, Shannon diversity, Simpson diversity, Faith_pd and Pielou′s Evenness. The dominant status of Lactobacillus was also described and compared. Multiple linear regression and logistic regression were used to analyze the factors influencing vaginal microbiota. Analysis of variance and Kruskal Wallis test were used for statistical analysis of continuous variables, and Chi-square test and Fisher′s exact test were used for categorical data. The differences were considered statistically significant when the P value was less than 0.05. Results:This study enrolled 91 pregnant women (91 vaginal samples) with an average age of (27.37±3.60) years. There were 18, 56 and 17 vaginal samples collected at the median gestational age of 11.93 weeks (the first trimester), 19.43 weeks (the second trimester) and 38.29 weeks (the third trimester), respectively. The relative abundance of Firmicutes and Lactobacillus was 91.30% and 87.67%, respectively. Lactobacillus iners and Lactobacillus crispatus had a relative abundance of 43.95% and 36.33%, respectively. Moreover, Lactobacillus iners-dominated vaginal microbiota was detected in all trimesters. The number of samples with high relative abundance of Lactobacillus iners gradually decreased with gestational age. Lactobacillus crispatus-dominated vaginal microbiota was found in the second and third trimesters and the number of samples with high relative abundance gradually increased during pregnancy. The Alpha diversity of vaginal microbiota had a decreasing trend during the gestation. There were significant differences in Pielou′s Evenness diversity index of vaginal microbiota between different smoking groups ( P<0.05) and in Shannon diversity index between different drinking groups ( P<0.05). There were significant differences in Chao1, Observed Features and Faith_pd diversity index of vaginal microbiota between pregnant women with different education ( P<0.05) and in Shannon and Simpson diversity index between different income groups ( P<0.05). Conclusions:Vaginal microbiota was dominated by Lactobacillus in normal pregnant women. The dominance of Lactobacillus iners gradually decreased, while that of Lactobacillus crispatus increased during gestation. In normal pregnant women, the Alpha diversity of vaginal microbiota was correlated with smoking, drinking, education and family annual income. Smoking cessation and drinking before pregnancy were related to lower Alpha diversity of vaginal microbiota in pregnant women, while lower education and higher family income were associated with higher Alpha diversity.

OBJECTIVE To study the effects of Shenfu yixin granule on mitochondrial autophagy of cardiomyocytes in rats with heart failure after acute myocardial infarction. METHODS The model of heart failure after acute myocardial infarction was established by ligaturing the anterior descending branch of the left coronary artery in rats. The model rats were divided into model group，Shenfu yixin granule low-dose and high-dose groups （1.76，8.8 g/kg），Fosinopril sodium tablets group （positive control ，4 mg/kg），sham operation group was set up （only threading without ligation at the same position ），with 8 rats in each group. After 4 weeks of drug intervention ，the hemodynamic indexes of rats in each group were measured by physiological recorder. The pathological changes of myocardial tissue were observed in each group. The level of oxidative stress in cardiomyocytes ， mitochondrial membrane potential ，protein expression of PTEN-induced putative kinase 1（PINK1），E3 ubiquitin ligase Parkin and ubiquitin binding protein P 62 in myocardial tissue of rats in each group were detected. RESULTS Compared with sham operation group ，the pathological injuries such as myocardial fiber morphology disorder and inflammatory cell infiltration were serious. The left ventricular end systolic pressure （LVESP），maximum rate of rise of left ventricular internal pressure （+dp/dtmax）， maximun rate of decrease of left ventricular internal pressure （－dp/dtmax），total antioxidant capacity ，mitochondrial membrane potential，PINK1，Parkin and P 62 protein expression were significantly decreased in model group （P＜0.01）. The left ventricular end diastolic pressure （LVEDP），the level of reactive oxygen species and the activity of reduced nicotinamide adenine dinucleotide phosphate in left ventricular ischemic cardiomyocytes were significantly increased （P＜0.01）. Compared with model group ，the pathological injuries of myocardial tissue in intervention groups were alleviated ，and above indexes were improved in varying degrees（P＜0.01 or P＜0.05）. CONCLUSIONS Shenfu y ixin granule can reduce the level of oxidative stress and alleviate heart failure after acute myocardial infarction ，which may be related to the activation of Parkin-dependent pathway to strengthen mitochondrial autophagy and reduce mitochondrial dysfunction.

Objective:To explore the effect of Wechat knowledge-attitude-practice(KAP) intervention on medication adherence and treatment outcome of college students with depression.Methods:A total of 184 college students with depression who received medical treatment in psychiatric outpatient department of Tsinghua university from January 2019 to September 2021 were divided into control group and intervention group( n=92 in each group). All students in both groups received routine health education, and students in intervention group received additional Wechat KAP intervention.Before and after the intervention, the changes of disease knowledge and medication attitude were investigated by self-made questionnaires. Medication adherence rating scale (MARS) was used to investigate medication adherence three times in half a year. Before and half a year after the intervention, self-rating anxiety scale(SAS) and self-rating depression scale(SDS) were measured and the treatment outcome was evaluated by △SAS and △SDS combined with GI. SPSS 11.5 was used for statistical analysis of data, including t-test and chi square test. Results:At the end of the 4th, 12th and 24th week, the shedding rates of the intervention group (13.04%, 18.48%, 31.52%) were lower than those of the control group (33.70%, 46.74%, 59.78%) ( χ2=10.96, 16.72, 14.81, all P<0.001). At the end of the 4th week and the 12th week, the MARS scores of the intervention group (6.57±1.67, 7.55±1.79) were higher than those of the control group (5.06±1.62, 6.53±1.76)( t=5.41, 3.13, both P<0.01), and the proportion of people who wanted to stop the medicine by themselves in the intervention group (5/80, 14/75) was lower than that of the control group (22/61、20/49)( χ2=19.87, 7.31, both P<0.01). After half a year, the △SAS and △SDS of the intervention group (12.01±2.01, 11.65±2.03) were higher than those of the control group (8.11±1.91, 7.83±1.82) ( t=13.38, 13.33, both P<0.001). GI in the intervention group showed significant improvement in 31 cases, slight improvement in 28 cases, no change in 24 cases, and deterioration in 8 cases, which were better than those in the control group (20 cases, 21 cases, 31 cases and 18 cases)( χ2=8.10, P=0.044). Conclusion:Wechat KAP intervention is beneficial to improve the medication adherence and treatment outcome of patients with depression.

In deep learning-based image registration, the deformable region with complex anatomical structures is an important factor affecting the accuracy of network registration. However, it is difficult for existing methods to pay attention to complex anatomical regions of images. At the same time, the receptive field of the convolutional neural network is limited by the size of its convolution kernel, and it is difficult to learn the relationship between the voxels with far spatial location, making it difficult to deal with the large region deformation problem. Aiming at the above two problems, this paper proposes a cascaded multi-level registration network model based on transformer, and equipped it with a difficult deformable region perceptron based on mean square error. The difficult deformation perceptron uses sliding window and floating window techniques to retrieve the registered images, obtain the difficult deformation coefficient of each voxel, and identify the regions with the worst registration effect. In this study, the cascaded multi-level registration network model adopts the difficult deformation perceptron for hierarchical connection, and the self-attention mechanism is used to extract global features in the basic registration network to optimize the registration results of different scales. The experimental results show that the method proposed in this paper can perform progressive registration of complex deformation regions, thereby optimizing the registration results of brain medical images, which has a good auxiliary effect on the clinical diagnosis of doctors.
Algorithms ; Neural Networks, Computer ; Image Processing, Computer-Assisted/methods*

Objective:To identify the disease-causing mutation in a Chinese family with Stickler syndrome type 1.Methods:The pedigree investigation was conducted.A Chinese family with Stickler syndrome type 1 was enrolled in the Shantou International Eye Center in June 2012.Medical history collection and clinical examinations, such as vision, intraocular pressure, slit lamp microscopy and fundus, were carried out in all the included family members and the diagnosis was made by clinical experts.Total genomic DNAs were extracted from the peripheral blood samples (5 ml) obtained from 5 patients and 4 healthy members.The potential variant of the proband's father Ⅲ-5 were screened by whole exome sequencing (WES) and stepwise bioinformatic analysis.The segregation and mutation conformation of the variant was verified by Sanger sequencing.The pathogenicity of the variant was predicted by SIFT, Polyphen2, and MutationTaster.Conservation and three-dimensional structure of amino acid mutation were analyzed by multiple sequence alignment and UniProt.This study adhered to the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of Joint Shantou International Eye Center (No.EC20110310[2]-P02).Written informed consent was obtained from each subject or the guardian.Results:An autosomal dominant inherence in 39 members of 4 generations including 15 patients and 24 phenotypically normal members was found in the family.The proband (Ⅳ-4) showed high myopia, retinal detachment and strabismus in the right eye, and the left eye was blind.A patient (Ⅲ-5) showed high myopia and cataract in the right eye, atrophy in the left eye.A patient (Ⅳ-9) showed binocular high myopia.A heterozygous variation, c.1693C>T: p.Arg565Cys, within the exon 26 of COL2A1 gene was revealed in patient Ⅲ-5, which was only found in the patients and not in phenotypically normal members, indiacating co-separation in this family.The variant was predicted to be a severe damage by SIFT, Polyphen2 and MutationTaster.The amino acid mutation at position 565 was highly conservative among human, mouse, rat, bovine and Xenopus laevis, which caused the arginine to cysteine substitution at the X position in triple helix repeat region Gly-X-Y, affecting the function of fibrous protein and becoming pathogenic. Conclusions:Variant c.1693C>T: p.Arg565Cys in COL2A1 gene is disease-causing in this family and this is the first report about the variant in China.