Comprehensive analysis of phenotypes and transcriptome characteristics reveal the best atopic dermatitis mouse model induced by MC903.

BACKGROUND: Although several mouse models of exogenous-agent-induced atopic dermatitis (AD) are currently available, the lack of certainty regarding their similarity with human AD has limited their scientific value. Thus, comprehensive evaluation of the characteristics of mouse models and their similarity with human AD is essential. OBJECTIVE: To compare six different exogenous-agent-induced AD mouse models and find out the optimum models for study. METHODS: Female BALB/c mice underwent induction of AD-like dermatitis by MC903 alone or in combination with ovalbumin (OVA), dinitrofluorobenzene (DNFB) alone or in combination with OVA, OVA alone, or Staphylococcus aureus. Gross phenotype, total immunoglobulin E (IgE) level, histopathological manifestations, and skin lesion transcriptome were analyzed, and metagenomic sequencing of the gut microbiome was performed. RESULTS: The DNFB plus OVA model showed the highest disease severity, while the OVA model showed the lowest severity. The MC903 and MC903 plus OVA models showed high expression of T-helper (Th)2- and Th17-related genes; the DNFB and DNFB plus OVA models showed upregulation of Th1-, Th2-, and Th17-related genes; while the S. aureus inoculation model showed more enhanced Th1 and Th17 immune responses. In contrast to the other models, the OVA-induced model showed the lowest expression levels of inflammation-related genes, while the MC903 model shared the largest overlap with human AD profiles. The intestinal microbiota of all groups showed significant differences after modeling. CONCLUSION: Each AD mouse model exhibited different characteristics. The MC903 model was the best to recapitulate most features of human AD among these exogenous-agent-induced AD models.

Asymmetric gene expression and cell-type-specific regulatory networks in the root of bread wheat revealed by single-cell multiomics analysis.

BACKGROUND: Homoeologs are defined as homologous genes resulting from allopolyploidy. Bread wheat, Triticum aestivum, is an allohexaploid species with many homoeologs. Homoeolog expression bias, referring to the relative contribution of homoeologs to the transcriptome, is critical for determining the traits that influence wheat growth and development. Asymmetric transcription of homoeologs has been so far investigated in a tissue or organ-specific manner, which could be misleading due to a mixture of cell types. RESULTS: Here, we perform single nuclei RNA sequencing and ATAC sequencing of wheat root to study the asymmetric gene transcription, reconstruct cell differentiation trajectories and cell-type-specific gene regulatory networks. We identify 22 cell types. We then reconstruct cell differentiation trajectories that suggest different origins between epidermis/cortex and endodermis, distinguishing bread wheat from Arabidopsis. We show that the ratio of asymmetrically transcribed triads varies greatly when analyzing at the single-cell level. Hub transcription factors determining cell type identity are also identified. In particular, we demonstrate that TaSPL14 participates in vasculature development by regulating the expression of BAM1. Combining single-cell transcription and chromatin accessibility data, we construct the pseudo-time regulatory network driving root hair differentiation. We find MYB3R4, REF6, HDG1, and GATAs as key regulators in this process. CONCLUSIONS: Our findings reveal the transcriptional landscape of root organization and asymmetric gene transcription at single-cell resolution in polyploid wheat.

Latent Trajectories and Risk Factors of Prenatal Stress, Anxiety, and Depression in Southwestern China-A Longitudinal Study.

(1) Background: Few studies have explored the heterogeneity of trajectories of stress, anxiety, and depressive symptoms during pregnancy. This study aimed to explore the trajectory groups of stress, anxiety, and depressive symptoms in women during pregnancy and the risk factors associated with those groups. (2) Methods: Data came from pregnant women recruited from January to September 2018 in four hospitals in Chongqing Province, China. A structured questionnaire was given to pregnant women, which collected basic information, including personal, family, and social information. The growth mixture model was applied to identify potential trajectory groups, and multinomial logistic regression was applied to analyze factors of trajectory groups. (3) Results: We identified three stress trajectory groups, three anxiety trajectory groups, and four depression trajectory groups. Less developed regions, inadequate family care, and inadequate social support were associated with a high risk of stress; residence, use of potentially teratogenic drugs, owning pets, family care, and social support were strongly associated with the anxiety trajectory group; family care and social support were the most critical factors for the depression trajectory group. (4) Conclusions: The trajectories of prenatal stress, anxiety, and depressive symptoms are dynamic and heterogeneous. This study may provide some critical insights into the characteristics of women in the high-risk trajectory groups for early intervention to mitigate worsening symptoms.

Agricultural Disaster Risk Management and Capability Assessment Using Big Data Analytics.

Besides many impacts, climate change and the rise of harsh weather have a huge hit that jeopardizes agricultural sectors. Natural catastrophes, including flooding and wildfires, are the sources of significant declines in crop production. National governments make an essential commitment, and foreign institutions work together to mitigate disasters' resilience vulnerability. These hazards have pushed catastrophe management to the forefront and made it an expanding scholarly area of study. The remarkable growth of information technology has motivated the scientific group to integrate this technology into emergency management. In this article, agricultural disaster risk management (ADRM) is offered to decide the status quo of the research on agriculture disaster management and the significance of big data. This article's primary objective is to provide technical metric analysis to analyze the body of research carried out in the past decade on different forms of disasters and the use of significant volumes. For the data assessment, the annual growth of publication outcomes, the corresponding categories of topics, and the productivity study specifications was determined. The flux of raw and analytical data from comprehensive data is so established that another effect is heavily affected in the final performance of forecasting. The assessment of ADRM proposed would have been based on data provided by the Department of Indian Meteorology, and improvement is illustrated in incorporating the mechanism proposed in flood prediction long before the occurrence of floods.

Optimization of Cervical Cancer Screening: A Stacking-Integrated Machine Learning Algorithm Based on Demographic, Behavioral, and Clinical Factors.

PURPOSE: The purpose is to accurately identify women at high risk of developing cervical cancer so as to optimize cervical screening strategies and make better use of medical resources. However, the predictive models currently in use require clinical physiological and biochemical indicators, resulting in a smaller scope of application. Stacking-integrated machine learning (SIML) is an advanced machine learning technique that combined multiple learning algorithms to improve predictive performance. This study aimed to develop a stacking-integrated model that can be used to identify women at high risk of developing cervical cancer based on their demographic, behavioral, and historical clinical factors. METHODS: The data of 858 women screened for cervical cancer at a Venezuelan Hospital were used to develop the SIML algorithm. The screening data were randomly split into training data (80%) that were used to develop the algorithm and testing data (20%) that were used to validate the accuracy of the algorithms. The random forest (RF) model and univariate logistic regression were used to identify predictive features for developing cervical cancer. Twelve well-known ML algorithms were selected, and their performances in predicting cervical cancer were compared. A correlation coefficient matrix was used to cluster the models based on their performance. The SIML was then developed using the best-performing techniques. The sensitivity, specificity, and area under the curve (AUC) of all models were calculated. RESULTS: The RF model identified 18 features predictive of developing cervical cancer. The use of hormonal contraceptives was considered as the most important risk factor, followed by the number of pregnancies, years of smoking, and the number of sexual partners. The SIML algorithm had the best overall performance when compared with other methods and reached an AUC, sensitivity, and specificity of 0.877, 81.8%, and 81.9%, respectively. CONCLUSION: This study shows that SIML can be used to accurately identify women at high risk of developing cervical cancer. This model could be used to personalize the screening program by optimizing the screening interval and care plan in high- and low-risk patients based on their demographics, behavioral patterns, and clinical data.

Study on anxiety and depression of men who have sex with men: An application of group-based trajectory model.

The prevalence of anxiety and depression is high among men who have sex with men (MSM), but limited studies focus on their development trends. This study examined the prevalence and influencing factors of anxiety and depression in HIV-negative MSM. In this study, 711 subjects were followed up every 24 weeks for 96 weeks. A group-based trajectory model was used to identify different development trends and a logistic regression model was used to explore the influencing factors of different trajectories. Low, moderate, and high anxiety groups accounted for 32.56, 56.12, and 11.32%; and low and high depression groups accounted for 73.90 and 26.10%. High anxiety was associated with a lower education degree, little HIV-related knowledge, and other characteristics (more agreed that "HIV is a threat to me/my family," had high frequency of seeking sexual partners via the Internet, had a history of sexually transmitted disease (STD), and a sense of discrimination by doctors). High depression was associated with a lower education degree, little HIV-related knowledge, being bisexual and the following characteristics: they felt that HIV infection rate of MSM around them was high, and more agreed that "HIV is a threat to me/my family," had a high frequency of seeking sexual partners through the Internet and alcohol drinking, had a history of STD, and felt being discriminated against by doctors and others. There is heterogeneity in the development trends of anxiety and depression. We need to improve intervention in the mental health of MSM, especially those with high anxiety and depression development trends. Clinical Trial Registration: [http://www.chictr.org.cn/showproj.aspx?proj=5716], identifier [ChiCTR-TRC-13003849].

Bioinspired soft microrobots actuated by magnetic field.

In contrast to traditional large-scale robots, which require complicated mechanical joints and material rigidity, microrobots made of soft materials have exhibited amazing features and great potential for extensive applications, such as minimally invasive surgery. However, microrobots are faced with energy supply and control issues due to the miniaturization. Magnetic field actuation emerges as an appropriate approach to tackle with these issues. This review summarizes the latest progress of biomimetic soft microrobots actuated by magnetic field. Starting with an overview of the soft material and magnetic material adopted in the magnetic field actuated soft microrobots, the various fabrication methods and design structures of soft microrobots are summarized. Subsequently, practical and potential applications, such as targeted therapy, surgical operation, and the transportation of microscopic objects, in the fields of biomedicine and environmental remediation are presented. In the end, some current challenges, and the future development trends of magnetic soft microrobots are briefly discussed. This review is expected to offer a helpful guidance for the new researchers of biomimetic soft microrobots actuated by magnetic field.

Risk Management on Pre-Exposure Prophylaxis Adherence of Men Who Have Sex with Multiple Men: A Multicenter Prospective Cohort Study.

BACKGROUND: Men who have sex with multiple men (MSMM) belong to a high-risk group for HIV infection, and pre-exposure prophylaxis (PrEP) is an effective measure to prevent the infection. However, few studies on PrEP adherence by MSMM in China exist. We aimed to explore the protective motivation-related factors for PrEP adherence in an HIV-negative MSMM population in Western China and to provide a reference for future risk management and effective prevention strategies. METHODS: Data were collected from a 2-year follow-up cohort study of PrEP in MSM in China. Rogers' protective motivation theory (PMT) was used to study the PrEP adherence of MSMM, and logistic regression was performed to analyze the influencing factors of PrEP adherence. RESULTS: A total of 496 MSMM were included in the study: 299 (60.28%) of them in the good adherence group and 197 (39.72%) in the poor adherence group. The threat assessment scores of the good and poor adherence groups were 2.15 ± 0.59 and 2.06 ± 0.47, respectively, and the response assessment scores were 2.81 ± 0.62 and 2.74 ±0.62, respectively. Poor PrEP adherence was associated with on-demand PrEP medication (OR=0.670), students at school (OR=1.837), occasional condom use (OR=1.621), and good HIV knowledge (OR= 0.659). The higher the threat assessment score, the higher the susceptibility; and the lower the response cost, the stronger the protection motivation and the less likely MSMM were to have poor adherence. CONCLUSION: On-demand PrEP medication is more conducive to adherence. Preventive management should focus on MSMMs who are students at school, those who occasionally use condoms, and those with poor HIV knowledge. Improving threat perception and susceptibility, and controlling and reducing the response cost can effectively improve PrEP adherence, and the subsequent application of PMT during intervention research can provide a reference for HIV prevention in MSMM.

Cesarean delivery on maternal request and its influencing factors in Chongqing, China.

BACKGROUND: A high rate of cesarean delivery has become a cause of global concern. Although the rate of cesarean delivery has declined over recent years, it remains at a high level largely because of cesarean delivery on maternal request (CDMR). Unnecessary cesarean delivery has limited significance in benefiting maternal and infant physical health; in some ways, it might pose potential risks instead. With the implementation of the "Two-child Policy" in China, an increasing number of women plan to have a second child. Accordingly, how to handle the CDMR rate in China remains an important issue. METHODS: Data were collected from a longitudinal follow-up study conducted in Chongqing, China, from 2018 to 2019. A structured questionnaire was administered to subjects for data collection. Basic information, including demographic characteristics, living habits, medical history, and follow-up data of pregnant women, as well as their families and society, was collected. Additionally, delivery outcomes were recorded. Logistic regression was performed to analyze the factors influencing CDMR. RESULTS: The rate of cesarean delivery in Chongqing, China was 36.01 %, and the CDMR rate was 8.42 %. Maternal request (23.38 %), fetal distress (22.73 %), and pregnancy complications (9.96 %) were the top three indications for cesarean delivery. Logistic regression analysis showed that older age (OR = 4.292, 95 % CI: 1.984-9.283) and being a primiparous woman (OR = 6.792, 95 % CI: 3.230-14.281) were risk factors for CDMR. In addition, CDMR was also associated with factors such as the tendency to choose cesarean delivery during late pregnancy (OR = 5.525, 95 % CI: 2.116-14.431), frequent contact with mothers who had undergone vaginal deliveries (OR = 0.547, 95 % CI: 0.311-0.961), and the recommendation of cesarean delivery by doctors (OR = 4.071, 95 % CI: 1.007-16.455). CONCLUSIONS: "Maternal request" has become the primary indication for cesarean delivery. The occurrence of CDMR is related to both the personal factors of women during pregnancy and others. Medical institutions and obstetricians should continue popularizing delivery knowledge among pregnant women, enhancing their own professional knowledge about delivery, adhering to the standard indications for cesarean delivery, and providing pregnant women with adequate opportunities for attempting vaginal delivery.

Effect of alcohol on the progress of hepatitis B cirrhosis.

BACKGROUND: Hepatitis B virus (HBV) and alcohol are primary causes of cirrhosis. Alcohol can result in replication of HBV, an increase in oxidative stress, a compromised immune response to the virus and an increase in liver inflammation, all of which can result in progression of cirrhosis. The aim was to explore the interaction of alcohol with HBV and to show the effect of different levels of alcohol intake on liver fibrosis and cirrhosis. METHODS: We selected 90 patients with hepatitis B cirrhosis and divided them into three groups: non-drinking, moderate drinking and excessive drinking. Indicators of fibrosis (type III procollagen, type IV collagen, laminin, hyaluronic acid), HBV-DNA load, transaminases, quantitative detection of hepatitis B surface antigen (HBsAg), Child-Pugh scoring system rating and the number of complications were tested at three time points: 0, 3 and 6 months after quitting drinking and after medical treatment. RESULTS: We found that all indicators of fibrosis, HBV-DNA load, alanine (ALT) and aspartate (AST) transaminases in the excessive drinking group were highest among the three groups at any time. There were almost no differences between the moderate drinking and non-drinking groups at 0, 3 and 6 months after quitting drinking and treatment. We also found no difference among the three groups in quantitative detection of HBsAg at any time. It was observed that there are more patients with excessive drinking were in Child-Pugh C class and had more complications compared with the other two groups. CONCLUSIONS: Patients with chronic HBV infection and an excessive drinking habit activate HBV-DNA which increases liver inflammation, thus accelerating the progress of liver cirrhosis. Moderate drinking had no significant effect on the progress of liver cirrhosis. Hepatitis B cirrhosis patients with excessive drinking had more complications and were more likely to be in Child-Pugh C class compared with the other groups.

Birth and birth-related obstetrical characteristics in southwestern China associated with the current adjustment of family planning policy: a 7-year retrospective study.

In China, the adjustment of the family planning policy was expected to increase the number of births and trigger a change in the demographic and obstetrical background of pregnant women. The policy itself, and corresponding background variations of the pregnant mothers, might have various influences on certain birth-related characteristics. Moreover, the adaption of the medical system to the policy needs to be demonstrated. To address these issues, over 50,000 individual records from January 2012 to December 2018 were collected from a large tertiary care centre of southwest China as a representative. The monthly numbers of deliveries and births showed stabilized patterns after remarkable upward trends. Policy-sensitive women, among whom older age and multiparity were typical features, contributed considerably to the remarkable additional births. Indeed, multivariable logistic regression analysis identified the child policy and these two background characteristics as factors influencing CS (caesarean section) rate and certain pregnancy complications or adverse outcomes. After the implementation of the two-child policy, a care provider was faced with fewer but more difficult cases. Briefly speaking, more individual-based studies on family planning policy and more efforts to improve obstetrical service are needed to better guide clinical practice in the new era.

A sliding mode speed and position observer for a surface-mounted PMSM.

To improve the speed and position observation performance of a Surface-Mounted Permanent Magnet Synchronous Motor (SM-PMSM), an improved sliding mode observer (SMO) based on the adaptive synchronization filter (ASF) and quadrature phase-lock loop (QPLL) is proposed. An adaptive synchronous filter based on feedback rotor position estimation from a QPLL is proposed to extract the fundamental signal of the back electromotive force (back-EMF). Then, a QPLL is linked to calculate the rotor position and speed according to the fundamental signal of the back-EMF, in order to effectively suppress the estimated harmonics and chattering and improve the observation accuracy of speed and position. Finally, the effectiveness and feasibility of the proposed observer approach are verified by simulation and dSPACE.