The prediction of Recombination Hotspot Based on Automated Machine Learning.

Meiotic recombination plays a pivotal role in genetic evolution. Genetic variation induced by recombination is a crucial factor in generating biodiversity and a driving force for evolution. At present, the development of recombination hotspot prediction methods has encountered challenges related to insufficient feature extraction and limited generalization capabilities. This paper focused on the research of recombination hotspot prediction methods. We explored deep learning-based recombination hotspot prediction and scrutinized the shortcomings of prevalent models in addressing the challenge of recombination hotspot prediction. To addressing these deficiencies, an automated machine learning approach was utilized to construct recombination hotspot prediction model. The model combined sequence information with physicochemical properties by employing TF-IDF-Kmer and DNA composition components to acquire more effective feature data. Experimental results validate the effectiveness of the feature extraction method and automated machine learning technology used in this study. The final model was validated on three distinct datasets and yielded accuracy rates of 97.14%, 79.71%, and 98.73%, surpassing the current leading models by 2%, 2.56%, and 4%, respectively. In addition, we incorporated tools such as SHAP and AutoGluon to analyze the interpretability of black-box models, delved into the impact of individual features on the results, and investigated the reasons behind misclassification of samples. Finally, a website of recombination hotspot prediction was established to facilitate easy access to necessary information and tools for researchers. The research outcomes of this paper underscore the enormous potential of automated machine learning methods in gene sequence prediction.

The influencing factors of college students' legal emotion and the mechanism of its effect on aggressive behavior.

Current research has increasingly focused on the preventive role of individual legal socialization in crime. The socialization of legal emotions is an important part of legal socialization. Building upon existing literature, this study, conducted through two sub-studies, investigated the influencing factors of legal emotions in N mainland Chinese university students and the mechanisms through which legal emotions impact aggressive behavior. In study 1, the results indicated that mother-child attachment, innovation spirit, and positive emotional expression positively predicted positive legal emotion, while mother-child attachment, dependency dimension in adult attachment, and positive emotional expression negatively predicted negative legal emotions. The anxiety dimension in adult attachment and negative emotional expression positively predicted negative legal emotions. In study 2, Positive legal emotion among university students could directly negatively predict aggressive behavior or exert influence through social alienation. Negative legal emotions could not only directly positively predict aggressive behavior but also partly affect it through social alienation. In summary, our study not only identified factors that influence legal emotions, but also found that legal emotions have an impact on aggressive behavior directly or indirectly through social alienation. Our research findings have significant implications for cultivating positive legal emotion in university students and curbing aggressive behavior. This can be achieved by promoting the legal socialization of university students and ultimately contributing to crime prevention.

Preparation of functional oils rich in phytosterol esters and diacylglycerols by enzymatic transesterification.

Phytosterol esters (PEs) and diacylglycerols (DAGs) have various health benefits in humans. In this study, PEs and DAGs were synthesized by lipase-catalyzed transesterification between a natural oil and phytosterols. First, commercial lipases were screened for transesterification and were further verified using multiple-ligand molecular docking. AYS "Amano" (a lipase from Candida rugosa) was found to be the optimum lipase. Subsequently, the enzymatic transesterification conditions were optimized. The optimized conditions were determined to be a 1:2 M ratio of phytosterols to oil, 100 mmol/L phytosterols, and 9 % AYS "Amano", and 50 °C for 24 h in 20 mL n-hexane. Under these conditions, over 70 % of phytosterols were converted to PEs. In this study, an efficient enzymatic process was developed to produce value-added functional oils rich in PEs and DAGs, with PEs content ≥ 31.6 %, DAGs content ≥ 11.2 %, acid value ≤ 0.91 mg KOH/g, and peroxide value ≤ 2.38 mmol/kg.

Identification of sedative-hypnotic compounds shared by five medicinal Polyporales mushrooms using UPLC-Q-TOF-MS/MS-based untargeted metabolomics.

BACKGROUND: Five Polyporales mushrooms, namely Amauroderma rugosum, Ganoderma lucidum, G. resinaceum, G. sinense and Trametes versicolor, are commonly used in China for managing insomnia. However, their active components for this application are not fully understood, restricting their universal recognition. PURPOSE: In this study, we aimed to identify sedative-hypnotic compounds shared by these five Polyporales mushrooms. STUDY DESIGN AND METHODS: A UPLC-Q-TOF-MS/MS-based untargeted metabolomics, including OPLS-DA (orthogonal projection of potential structure discriminant analysis) and OPLS (orthogonal projections to latent structures) analysis together with mouse assays, were used to identify the main sedative-hypnotic compounds shared by the five Polyporales mushrooms. A pentobarbital sodium-induced sleeping model was used to investigate the sedative-hypnotic effects of the five mushrooms and their sedative-hypnotic compounds. RESULTS: Ninety-two shared compounds in the five mushrooms were identified. Mouse assays showed that these mushrooms exerted sedative-hypnotic effects, with different potencies. Six triterpenes [four ganoderic acids (B, C1, F and H) and two ganoderenic acids (A and D)] were found to be the main sedative-hypnotic compounds shared by the five mushrooms. CONCLUSION: We for the first time found that these six triterpenes contribute to the sedative-hypnotic ability of the five mushrooms. Our novel findings provide pharmacological and chemical justifications for the use of the five medicinal mushrooms in managing insomnia.

MIBPred: Ensemble Learning-Based Metal Ion-Binding Protein Classifier.

In biological organisms, metal ion-binding proteins participate in numerous metabolic activities and are closely associated with various diseases. To accurately predict whether a protein binds to metal ions and the type of metal ion-binding protein, this study proposed a classifier named MIBPred. The classifier incorporated advanced Word2Vec technology from the field of natural language processing to extract semantic features of the protein sequence language and combined them with position-specific score matrix (PSSM) features. Furthermore, an ensemble learning model was employed for the metal ion-binding protein classification task. In the model, we independently trained XGBoost, LightGBM, and CatBoost algorithms and integrated the output results through an SVM voting mechanism. This innovative combination has led to a significant breakthrough in the predictive performance of our model. As a result, we achieved accuracies of 95.13% and 85.19%, respectively, in predicting metal ion-binding proteins and their types. Our research not only confirms the effectiveness of Word2Vec technology in extracting semantic information from protein sequences but also highlights the outstanding performance of the MIBPred classifier in the problem of metal ion-binding protein types. This study provides a reliable tool and method for the in-depth exploration of the structure and function of metal ion-binding proteins.

Flexible multicolor biaxial sensor for strain direction identification based on sandwich-structured mechanoluminescent materials.

Strain sensors capable of recognizing the direction of strain are crucial in applications such as robot attitude adjustment and detection of strain states in complex structures. In this study, a sandwich-structured flexible biaxial strain sensor was developed using polydimethylsiloxane as the substrate, mechanoluminescent materials as the luminescent elements, and rubber-ink as the light-blocking layer. By correlating the emitted light color with the stretching state, precise identification of the applied strain direction is achieved. Additionally, the mechanoluminescence of the sensor is collected by a photodiode, generating photocurrent that can be analyzed. This provides a solution for practical applications of sensor.

Formation mechanism and prediction model of juvenile delinquency.

Exploring the formation mechanism of juvenile delinquency is of great significance to prevent juvenile delinquency. The present study examined relations and interactions among juvenile delinquents' self-consciousness, family factors, social relationships, belief in a just world, and legal consciousness, and then developed a predictive model to distinguish between juvenile delinquents and non-delinquents. The results showed that family factors have a significant influence on the formation of juvenile delinquents' self-consciousness and there are notable differences in family environment and self-consciousness between delinquent and non-delinquent adolescents. Due to the complex interactions among juvenile delinquency's self-consciousness, family factors, social relationships, belief in a just world and legal consciousness, adolescents' self- consciousness and social relationships can be utilized to predict and classify the groups of delinquent and non-delinquent adolescents effectively. Therefore, the key to preventing juvenile delinquency is to improve their self-consciousness and develop their prosocial relationships.

Prediction models for cardiovascular disease risk among people living with HIV: A systematic review and meta-analysis.

Background: HIV continues to be a major global health issue. The relative risk of cardiovascular disease (CVD) among people living with HIV (PLWH) was 2.16 compared to non-HIV-infections. The prediction of CVD is becoming an important issue in current HIV management. However, there is no consensus on optional CVD risk models for PLWH. Therefore, we aimed to systematically summarize and compare prediction models for CVD risk among PLWH. Methods: Longitudinal studies that developed or validated prediction models for CVD risk among PLWH were systematically searched. Five databases were searched up to January 2022. The quality of the included articles was evaluated by using the Prediction model Risk Of Bias ASsessment Tool (PROBAST). We applied meta-analysis to pool the logit-transformed C-statistics for discrimination performance. Results: Thirteen articles describing 17 models were included. All the included studies had a high risk of bias. In the meta-analysis, the pooled estimated C-statistic was 0.76 (95% CI: 0.72-0.81, I 2 = 84.8%) for the Data collection on Adverse Effects of Anti-HIV Drugs Study risk equation (D:A:D) (2010), 0.75 (95% CI: 0.70-0.79, I 2 = 82.4%) for the D:A:D (2010) 10-year risk version, 0.77 (95% CI: 0.74-0.80, I 2 = 82.2%) for the full D:A:D (2016) model, 0.74 (95% CI: 0.68-0.79, I 2 = 86.2%) for the reduced D:A:D (2016) model, 0.71 (95% CI: 0.61-0.79, I 2 = 87.9%) for the Framingham Risk Score (FRS) for coronary heart disease (CHD) (1998), 0.74 (95% CI: 0.70-0.78, I 2 = 87.8%) for the FRS CVD model (2008), 0.72 (95% CI: 0.67-0.76, I 2 = 75.0%) for the pooled cohort equations of the American Heart Society/ American score (PCE), and 0.67 (95% CI: 0.56-0.77, I 2 = 51.3%) for the Systematic COronary Risk Evaluation (SCORE). In the subgroup analysis, the discrimination of PCE was significantly better in the group aged ≤40 years than in the group aged 40-45 years (P = 0.024) and the group aged ≥45 years (P = 0.010). No models were developed or validated in Sub-Saharan Africa and the Asia region. Conclusions: The full D:A:D (2016) model performed the best in terms of discrimination, followed by the D:A:D (2010) and PCE. However, there were no significant differences between any of the model pairings. Specific CVD risk models for older PLWH and for PLWH in Sub-Saharan Africa and the Asia region should be established.Systematic Review Registration: PROSPERO CRD42022322024.

A tri-herb formulation protects against ethanol-induced mouse liver injury and downregulates mitogen-activated protein kinase phosphatase 1.

BACKGROUND: A tri-herb formulation comprising Ganoderma (the dried fruiting body of Ganoderma lucidum), Puerariae Thomsonii Radix (the dried root of Pueraria thomsonii) and Hoveniae Semen (the dried mature seed of Hovenia acerba) -GPH for short- has been using for treating liver injury; however, the pharmacological basis of this application of GPH is unknown. This study aimed to investigate the liver protective effects and mechanisms of action of an ethanolic extract of GPH (GPHE) in mice. METHODS: To control the quality of GPHE, the contents of ganodermanontriol, puerarin and kaempferol in the extract were quantified by ultra-performance liquid chromatography. An ethanol (6 ml/kg, i.g.)-induced liver injury ICR mouse model was employed to investigate the hepatoprotective effects of GPHE. RNA-sequencing analysis and bioassays were performed to reveal the mechanisms of action of GPHE. RESULTS: The contents of ganodermanontriol, puerarin and kaempferol in GPHE were 0.0632%, 3.627% and 0.0149%, respectively. Daily i.g. administration of 0.25, 0.5 or 1 g/kg of GPHE for 15 consecutive days suppressed ethanol (6 ml/kg, i.g., at day 15)-induced upregulation of serum AST and ALT levels and improved histological conditions in mouse livers, indicating that GPHE protects mice from ethanol-induced liver injury. Mechanistically, GPHE downregulated the mRNA level of Dusp1 (encoding MKP1 protein, an inhibitor of the mitogen-activated protein kinases JNK, p38 and ERK), and upregulated expression and phosphorylation of JNK, p38 and ERK, which are involved in cell survival in mouse liver tissues. Also, GPHE increased PCNA (a cell proliferation marker) expression and reduced TUNEL-positive (apoptotic) cells in mouse livers. CONCLUSION: GPHE protects against ethanol-induced liver injury, and this effect of GPHE is associated with regulation of the MKP1/MAPK pathway. This study provides pharmacological justifications for the use of GPH in treating liver injury, and suggests that GPHE has potential to be developed into a modern medication for managing liver injury.

Barriers and facilitators to maintaining a high level of polypharmacy adherence in people living with HIV: A scoping review.

Objectives: With the prolongation of life span and increasing incidence of comorbidities, polypharmacy has become a challenge for people living with HIV/AIDS (PLWH). This review aimed to identify barriers and facilitators to maintaining a high level of polypharmacy adherence in people living with HIV/AIDS. Methods: Nine electronic databases were searched for studies from 1996 to October 2021. Studies were included if they were conducted with adults living with HIV/AIDS and reported barriers and facilitators to maintaining a high level of polypharmacy adherence. This review presents a conceptual framework model to help understand the barriers and facilitators. Results: Twenty-nine studies were included. The majority of publications were observational studies. Eighty specific factors were identified and further divided into five categories, including individual factors, treatment-related factors, condition-related factors, healthcare provider-related factors, and socioeconomic factors, based on the multidimensional adherence model (MAM). Conclusion: Eighty factors associated with polypharmacy adherence among people living with HIV/AIDS were identified and grouped into five major categories. Healthcare providers can make decisions based on the five categories of relevant factors described in this paper when developing interventions to enhance polypharmacy adherence. It is recommended that medications be evaluated separately and that an overall medication evaluation be conducted at the same time to prevent inappropriate polypharmacy use.

Communication between mothers with breast cancer and minor children: a qualitative systematic review and meta-synthesis.

PURPOSE: Both women with breast cancer and their minor children were affected by a breast cancer diagnosis. The purpose of this review was to synthesize the evidence from qualitative studies on illness-related communication between mothers with breast cancer and their minor children from mothers' perspectives. METHODS: A thorough systematic review and meta-synthesis of qualitative studies was conducted. English articles published prior to 6 November 2021 were searched from five databases, including PubMed/ MEDLINE, EMBASE, Web of Science, CINAHL, and PsycINFO. After screening the titles, abstracts, and full texts, seven articles were finally included in the quality appraisal and meta-aggregation. RESULTS: Four synthesized findings were derived from seven articles, including disclosure dilemma, factors impacting disclosure, methods of communication, and information needs. CONCLUSIONS: This systematic review offered insight into the communication between mothers with breast cancer and their minor children. Various factors influenced the decision-making process on illness-related disclosure, as well as the methods and contents of the communication. Future studies should be undertaken to explore the common model shared by mothers and children who have had comparable experiences, as well as to completely analyze the differences between different cultures in this topic.

Progress in enrichment of n-3 polyunsaturated fatty acid: a review.

n-3 Polyunsaturated fatty acids (n-3 PUFA) has been widely used in foods, and pharmaceutical products due to its beneficial effects. The content of n-3 PUFA in natural oils is usually low, which decreases its added value. Thus, there is an increasing demand on the market for n-3 PUFA concentrates. This review firstly introduces the differences in bioavailability and oxidative stability between different types of PUFA concentrate (free fatty acid, ethyl ester and acylglycerol), and then provides a comprehensive discussion of different methods for enrichment of lipids with n-3 PUFA including physical-chemical methods and enzymatic methods. Lipases used for catalyzing esterification, transesterification and hydrolysis reactions play an important role in the production of highly enriched various types of n-3 PUFA concentrates. Lipase-catalyzed alcoholysis or hydrolysis reactions are the mostly employed method to prepare high-quality n-3 PUFA of structural acylglycerols. Although many important advantages offered by lipases in enrichment of n-3 PUFA, the high cost of enzyme limits its industrial-scale production. Further research should focus on looking for biological enzymes with extraordinary catalytic ability and clear selectivity. Other novel technologies such as protein engineering and immobilization may be needed to modify lipases to improve its selectivity, catalytic ability and reuse.

[Epidemiological study on hyperuricemia and gout in Foshan areas, Guangdong province].

OBJECTIVE: To determine the prevalence rates and risk factors of hyperuricemia (HUA) and gout among residents aged over 20 years in Foshan areas. METHODS: A randomly stratified cluster sampling was conducted, and 7403 inhabitants were investigated on their prevalence rates of HUA and gout. RESULTS: (1) The prevalence of HUA was 15.09%, and the standardized rate was 15.27%, in which the prevalence in males was 19.90% and females was 10.54%. The prevalence of gout was 1.04% and the standardized rate was 1.08%, in which the prevalence in males was 1.73% and females was 0.39%. The prevalence of gout in patients with HUA was 6.89%. (2) Average serum uric acid was (336.4 ± 81.5) µmol/L, with (347.1 ± 88.6) µmol/L in males and (289.7 ± 78.6) µmol/L in females. The serum uric acid levels in male patients with HUA was higher than those in women. (3) Age, body mass index, systolic blood pressure, diastolic blood pressure, serum uric acid, blood sugar, triglyceride (TG), total cholesterol were significantly higher in patients with HUA and gout than in the normal group (P < 0.05 - 0.01). The incidence rates of patients with hyperuricemia and gout in the following indices as:overweight and obesity, high blood pressure, high blood sugar were significantly higher than those in the normal group (P < 0.05). Patients having gout in the following indices as age, TG, serum uric acid levels were significantly higher than the HUA group (P < 0.05). (4) Data from non-conditional logistic regression analysis showed that age, overweight, hypertension, diabetes, hyperlipidemia, use of diuretics, family history, alcohol uptake, eating seafood and drinking meat broth, post-menopausal women, and other factors were similar to those factors as patients with hyperuricemia. Tea, fresh vegetables, fruits seemed to be the protective factors. CONCLUSION: Both the prevalence rates of HUA and gout had significantly increased in Foshan areas in recent years. Restricting the intake of food with rich purine, alcohol intake as well as controlling obesity and blood pressure, improving the status of lipid metabolic disorder together with programs as hypertension control etc. were important measures in the strategies on prevention and treatment on hyperuricemia and gout.

[Study on hyperuricemia with hyperlipaemia, high blood sugar and hypertension in 1320 elderly people].

OBJECTIVE: To investigate the prevalence of hyperuricemia with hyperlipaemia, high blood sugar and hypertension among elderly people. METHODS: Serum uric acid (SUA), cholesterol, triglycerides, blood sugar and blood pressure were detected in 1320 elderly people and 6107 people at young and middle age. RESULTS: The mean SUAs in elderly male and female groups were significantly higher than that in young and middle aged male groups respectively (P < 0.05). The prevalence rates of hyperuricemia in elderly male and female groups were significantly higher than in young and middle aged male groups respectively (P < 0.05). The prevalence rates of hyperlipaemia, high blood sugar and hypertension in the elderly people of hyperuricemia were significantly higher than that in the elderly people of normal serum uric acid (P < 0.05). The prevalence rates of hyperuricemia in the elderly people were complicated by hyperlipaemia, high blood sugar and hypertension which was significantly higher than that in young and middle aged people of hyperuricemia (P < 0.05). CONCLUSION: Hyperuricemia is a common disease in elderly people and more attention should be paid to the closer relations among hyperuricemia with hyperlipaemia, high blood sugar and hypertension among the elderly.