Research progress regarding the nutritional status and assessment methods of cerebral palsy patients

Cerebral palsy is a group of clinical disorders characterized by persistent central motor deficits and postural abnormalities due to non-progressive damage to the fetal or infant brain.Malnutrition is one of the most common clinical comorbidities in children with cerebral palsy and is the result of a combination of internal factors,such as the child’s structural and functional abnormalities,and external factors,such as the child’s feeding habits and family/social factors.The nutritional status of children with cerebral palsy is closely related to their development,quality of life,social participation,and life expectancy;thus,an objective and accurate understanding of the nutritional status of these children through rehabilitation assessment is essential for their growth and development.The current nutritional assessments include routine measurements of human nutritional parameters,scale-based assessments,and instrumental assessments.It is important to detect malnutrition in children with cerebral palsy at an early stage,reduce the prevalence of malnutrition,and improve the quality of survival.Therefore,this review aimed to analyze and summarize the nutritional status and assessment methods of children with cerebral palsy,to assess the nutritional status of children with cerebral palsy from multiple perspectives,indicators and directions,and to provide reference for the early detection of co-morbid malnutrition in children with cerebral palsy.

Science Letters:A synthetic Toll-like receptor 2 ligand decreases allergic immune responses in a mouse rhinitis model sensitized to mite allergen

It has been proposed that activation of Toll-like receptors (TLRs) plays crucial roles in the polarization of adaptive immune responses. A synthetic Toll-like receptor 2 (TLR2) ligand, Pam3CSK4, has been reported to modulate the balance of Th1/Th2 responses. We evaluated the modulation effect of Pam3CSK4 on allergic immune response in a mouse rhinitis model sensitized to house dust mite allergen (HDM). Mice were sensitized and challenged with Dermatophagoides farinae allergen (Der f), and then the allergic mice were treated by Pam3CSK4. Nasal allergic symptoms and eosinophils were scored. Der f-specific cytokine responses were examined in the splenocytes and bronchoalveolar lavage fluid (BALF). Serum level of total IgE was also detected. After establishing a mouse allergic rhinitis model with HDM, we have showed that Pam3CSK4 treatment not only ameliorated the nasal allergic symptoms remarkably but also decreased the eosinophils and total inflammation cells in BALF significantly. Analysis of cytokine profile found that IFN-γ released from either BALF or stimulated splenocytes increased markedly in Pam3CSK4-treated mice, while IL-13 decreased significantly. Moreover, serum level of total IgE was significantly lower in Pam3CSK4-treated mice than in the untreated. Thus, in an allergic rhinitis mouse model developed with HDM, Pam3CSK4 was shown to exhibit an antiallergic effect, indicating its potential application in allergic diseases.

A review of closed-loop reservoir management

The closed-loop reservoir management technique enables a dynamic and real-time optimal production schedule under the existing reservoir conditions to be achieved by adjusting the injection and production strategies. This is one of the most effective ways to exploit limited oil reserves more economically and efficiently.There are two steps in closed-loop reservoir management:automatic history matching and reservoir production optimization. Both of the steps are large-scale complicated optimization problems. This paper gives a general review of the two basic techniques in closed-loop reservoir management; summarizes the applications of gradient-based algorithms, gradient-free algorithms, and artificial intelligence algorithms; analyzes the characteristics and application conditions of these optimization methods; and finally discusses the emphases and directions of future research on both automatic history matching and reservoir production optimization.