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Biological control of pests and pathogens has attracted much attention due to its green, safe and effective characteristics. However, it faces the dilemma of insignificant effects in large-scale applications. Therefore, an in-depth exploration of the metabolic potential of biocontrol fungi based on big omics data is crucial for a comprehensive and systematic understanding of the specific modes of action operated by various biocontrol fungi. This article analyzes the preferences for extracellular carbon and nitrogen source degradation, secondary metabolites (nonribosomal peptides, polyketide synthases) and their product characteristics and the conversion relationship between extracellular primary metabolism and intracellular secondary metabolism for eight different filamentous fungi with characteristics appropriate for the biological control of bacterial pathogens and phytopathogenic nematodes. Further clarification is provided that Paecilomyces lilacinus, encoding a large number of hydrolase enzymes capable of degrading pathogen protection barrier, can be directly applied in the field as a predatory biocontrol fungus, whereas Trichoderma, as an antibiosis-active biocontrol control fungus, can form dominant strains on preferred substrates and produce a large number of secondary metabolites to achieve antibacterial effects. By clarifying the levels of biological control achievable by different biocontrol fungi, we provide a theoretical foundation for their application to cropping habitats.

Food intake disorders are costly to treat, with an increasing prevalence over the years, and a higher risk of mortality compared to other psychiatric disorders. Avoidant/restrictive food intake disorder (ARFID) , as a relatively new type of food intake disorder, is more prevalent in children and adolescents than in other age groups, affecting their normal growth and development, as well as psychosocial functioning. Currently, there are more foreign studies, while domestic studies are still in the initial stage. Therefore, this paper reviews assessment tools, influencing factors and treatment approaches for ARFID in children and adolescents, with the aim of providing a reference for related research in China.

Introduction: The perception of hunger is a complex physiological process that requires precise coordination between the central and peripheral tissues. Methods: In this study, tilapia fasted for 24 h was chosen to establish a hunger model to study the mechanism of homeostasis recovery under the joint regulation of the central nervous system (CNS) and peripheral tissues. Results: The gastric and intestinal contents of tilapia were predominantly depleted after a fasting period of 9 h and 24 h, respectively. The serum glucose level significantly decreased at the 9-h and 24-h fasting, respectively, and the glucokinase-dependent glucosensing mechanism in the liver was identified as well as the significant activation of phospho-AMPK. However, fasting for 24 h did not activate glucosensing mechanisms and AMPK signaling pathways in the hypothalamus. On the other hand, significant reductions were observed in the mRNA levels of the lipid synthesis-related genes fas and accα, and the serum triglyceride levels as well. The mRNA levels of npy, agrp, pomc, and cart in the hypothalamus fluctuated during the fasting period without significant differences. With in situ hybridization npy signals upregulated in the ventral zone of posterior periventricular nucleus after 24-h fasting, pomc signals enhanced in the lateral tuberal nucleus. Based on the serum metabolomic analysis, the levels of branched-chain amino acids, butyrate, and short-chain acylcarnitine decreased, while those of medium- and long-chain acylcarnitine increased. Conclusion: Fasting for 24 h resulted in changes in npy and pomc signals within the hypothalamus and triggered the glucosensing mechanism in the liver of tilapia. This study is beneficial for elucidating the response of neuropeptides in the CNS to the changes of nutritional factors when hungry. [ABSTRACT FROM AUTHOR]

To evaluate a theory-guided intervention on oral self-care and examine the possible mechanisms among self-regulatory factors, two brief intervention arms were compared, an information-based education treatment and a self-regulation treatment focusing on planning and action control. Young adults (N = 284; aged 18-29 years) were assessed at baseline and 1 month later. The self-regulation intervention improved levels of oral self-care, dental planning and action control. Moreover, a moderated mediation model with planning as the mediator between experimental conditions and dental outcome, and self-efficacy as well as action control as moderators elucidated the mechanism of change. More self-efficacious participants in the self-regulation condition benefitted in terms of more planning, and those who monitored their actions yielded higher levels of oral hygiene. Dental self-efficacy, dental planning and action control are involved in the improvement of oral self-care. Their joint consideration may contribute to a better understanding of health behavior change.

Objectives: To verify the effects of self‐care programs among adults with prediabetes, to identify the preferable structure components and to summarise the core content components of self‐care programs. Design: A systematic review and meta‐analysis of randomised controlled trials. Methods: PubMed, Embase, Cochrane, CINAHL, PsycINFO, Wanfang, CNKI, Chinese Biomedical Database and Open Grey were searched for studies published from January 2002 to December, 2021. Meta‐analysis was conducted to verify the effects of self‐care programs on diabetes incidence. Subgroup analyses based on structure components were performed to contrast the effects. We made a critical analysis to generalise the core elements of content components. The study was reported according to PRISMA statement. Results: Totally, 15 studies were included in systematic review, of which 14 studies were eligible for meta‐analysis. The results of meta‐analysis showed the incidence of diabetes for prediabetic adults receiving self‐care programs was significantly lower than those who received usual care (OR 0.58; 95% CI 0.46 to 0.73). The results of subgroup analyses based on delivery mode, intervention implementer, health education brochures provided, and follow‐up duration showed statistically significant reduction in incidence compared with control group (p <.05). However, the differences of these pair‐wise comparisons (face‐to‐face or remote, individual or interdisciplinary team, with or without brochures provided, ≤1 year or >1 year) were not statistically significant (p >.05). Three core content elements were generalised: cognitive education, behaviour guidance and psychological support. Conclusions: Self‐care programs can effectively delay the progression of prediabetes to diabetes. Regardless of the diversified structure components, self‐care programs can achieve better effects on the diabetes incidence than usual care, while the optimal structure components still remain unknown. Cognitive education, behaviour guidance and psychological support are core elements for these programs. Relevance to clinical practice: More clinical trials with rigorous study design are needed to provide further evidence. [ABSTRACT FROM AUTHOR]

Controlling the virus spreading in complex networks is very important to the research fields ranging from social science to technology. However, recent researches only consider information transmission and virus spreading as independent and uncorrelated, which neglect their interactive process in real systems. To study the interactive process between information transmission and virus spreading, in this paper, we propose a new virus information interactive spreading model on multiplex network. The multiplex networks can be divided into information transmission layer and virus spreading layer. The interactive spreading model considers the inherent characteristics of information by introducing the information forgetting and information loss mechanisms. Specially, by utilizing the mean field theory, the information transmission and virus process are unified to deduce the critical threshold of virus breakout. It shows that the critical threshold is not only related to the spreading properties of virus, but also influenced by the information density of individuals. We also find that the critical threshold is independent of the information generation probability, and the loss of the information will lead to a decrease. Finally, to verify the theoretical derivations, we apply it on both artificial network and real social network. The experimental results show that the simulations perfectly coincide with theoretical results, which verified the effectiveness of our model. [ABSTRACT FROM AUTHOR]