The development and validation of the Parent Instruction-Giving Game with Youngsters (PIGGY) in a Head Start population

Head Start families demonstrate many of the risk factors that relate to the development of noncompliance and other behavior problems in young children, such as low income, limited education, teenage pregnancy, isolation, family stress, single parenthood, and parental psychopathology. Noncompliant preschool-aged children often continue to display difficulties through adolescence. Parent Management Training programs have been developed which can improve child compliance. However, many of the same risk factors that lead to child noncompliance also reduce the effectiveness of parenting interventions. Thus, more efficient assessment and intervention strategies need to be developed to facilitate the treatment of child behavior problems in Head Start families. This proposal attempts to validate the use of the Parent Instruction-Giving Game with Youngsters (PIGGY), a newly developed direct observation system. Using the PIGGY, parents provide standardized commands to their child (e.g., put the book on the table), and parenting skills used to gain compliance (e.g., instruction-giving, praise, discipline techniques) as well as child behavior (e.g., noncompliance) are coded on an observation form. For the first part of study, 14 “noncompliant” and 14 “compliant” children and their mothers were selected based on parent report of child behavior. For the second part of the study, two families were selected for a single-case, multiple-baseline (across behaviors) study which used the PIGGY to monitor the effectiveness of Parent Management Training

Mdm2 binding to a conformationally sensitive domain on p53 can be modulated by RNA

AbstractBiochemical characterisation of the interaction of mdm2 protein with p53 protein has demonstrated that full-length mdm2 does not bind stably to p53–DNA complexes, contrasting with C-terminal truncations of mdm2 which do bind stably to p53–DNA complexes. In addition, tetrameric forms of the p53His175 mutant protein in the PAb1620+ conformation are reduced in binding to mdm2 protein. These data suggest that the mdm2 binding site in the BOX-I domain of p53 becomes concealed when either p53 binds to DNA or when the core domain of p53 is unfolded by missense mutation. This further suggests that the C-terminus of mdm2 protein contains a negative regulatory domain that affects mdm2 protein binding to a second, conformationally sensitive interaction site in the core domain of p53. We investigated whether there was a second docking site on p53 for mdm2 protein by examining the interaction of full-length mdm2 with p53 lacking the BOX-I domain. Although mdm2 protein did bind very weakly to p53 protein lacking the BOX-I domain, addition of RNA activated mdm2 protein binding to this truncated form of p53. These data provide evidence for three previously undefined regulatory stages in the p53–mdm2 binding reaction: (1) conformational changes in p53 protein due to DNA binding or point mutation conceals a secondary docking site of mdm2 protein; (2) the C-terminus of mdm2 is the primary determinant which confers this property upon mdm2 protein; and (3) mdm2 protein binding to this secondary interaction site within p53 can be stabilised by RNA

Assessing the Effectiveness of a Bedtime Behavioral Intervention for Military Children with a Deployed Parent

While there are advantages and disadvantages to the lifestyle of a military family, challenges often include frequent moves, stressful military work environments, and deployments of the active duty member to dangerous war zones. Military children often display an array of internalizing and externalizing problems, with one common problem being disrupted sleep. The purpose of the current study was to evaluate the use of current technology to minimize problematic sleep behaviors affecting young children with a recently deployed parent. The intervention required parents to show their child a previously recorded DVD of the deployed parent reading a children’s book prior to the child’s bedtime. Sleep diary data were collected for two children who had been previously identified as having significant bedtime resistant behavior. A nonconcurrent, multiple-baselines across participants research design was used to evaluate data with two data collection phases for both participants. Analyses revealed considerable reductions in the number of bedtime resistant behaviors post-intervention and large effect sizes were yielded for the intervention phases for both participants. Implications for clinical practice are discussed

Meningitis-associated pneumococcal serotype 8, ST 53, strain is hypervirulent in a rat model and has non-haemolytic pneumolysin which can be attenuated by liposomes

Introduction: Streptococcus pneumoniae bacteria cause life-threatening invasive pneumococcal disease (IPD), including meningitis. Pneumococci are classified into serotypes, determined by differences in capsular polysaccharide and both serotype and pneumolysin toxin are associated with disease severity. Strains of serotype 8, ST 53, are increasing in prevalence in IPD in several countries. Methods: Here we tested the virulence of such an isolate in a rat model of meningitis in comparison with a serotype 15B and a serotype 14 isolate. All three were isolated from meningitis patients in South Africa in 2019, where serotype 8 is currently the most common serotype in IPD. Results and Discussion: Only the serotype 8 isolate was hypervirulent causing brain injury and a high mortality rate. It induced a greater inflammatory cytokine response than either the serotype 15B or 14 strain in the rat model and from primary mixed-glia cells isolated from mouse brains. It had the thickest capsule of the three strains and produced non-haemolytic pneumolysin. Pneumolysin-sequestering liposomes reduced the neuroinflammatory cytokine response in vitro indicating that liposomes have the potential to be an effective adjuvant therapy even for hypervirulent pneumococcal strains with non-haemolytic pneumolysin

Meningitis-associated pneumococcal serotype 8, ST 53, strain is hypervirulent in a rat model and has non-haemolytic pneumolysin which can be attenuated by liposomes

IntroductionStreptococcus pneumoniae bacteria cause life-threatening invasive pneumococcal disease (IPD), including meningitis. Pneumococci are classified into serotypes, determined by differences in capsular polysaccharide and both serotype and pneumolysin toxin are associated with disease severity. Strains of serotype 8, ST 53, are increasing in prevalence in IPD in several countries.MethodsHere we tested the virulence of such an isolate in a rat model of meningitis in comparison with a serotype 15B and a serotype 14 isolate. All three were isolated from meningitis patients in South Africa in 2019, where serotype 8 is currently the most common serotype in IPD.Results and DiscussionOnly the serotype 8 isolate was hypervirulent causing brain injury and a high mortality rate. It induced a greater inflammatory cytokine response than either the serotype 15B or 14 strain in the rat model and from primary mixed-glia cells isolated from mouse brains. It had the thickest capsule of the three strains and produced non-haemolytic pneumolysin. Pneumolysin-sequestering liposomes reduced the neuroinflammatory cytokine response in vitro indicating that liposomes have the potential to be an effective adjuvant therapy even for hypervirulent pneumococcal strains with non-haemolytic pneumolysin

Patient-specific cancer genes contribute to recurrently perturbed pathways and establish therapeutic vulnerabilities in esophageal adenocarcinoma

Abstract: The identification of cancer-promoting genetic alterations is challenging particularly in highly unstable and heterogeneous cancers, such as esophageal adenocarcinoma (EAC). Here we describe a machine learning algorithm to identify cancer genes in individual patients considering all types of damaging alterations simultaneously. Analysing 261 EACs from the OCCAMS Consortium, we discover helper genes that, alongside well-known drivers, promote cancer. We confirm the robustness of our approach in 107 additional EACs. Unlike recurrent alterations of known drivers, these cancer helper genes are rare or patient-specific. However, they converge towards perturbations of well-known cancer processes. Recurrence of the same process perturbations, rather than individual genes, divides EACs into six clusters differing in their molecular and clinical features. Experimentally mimicking the alterations of predicted helper genes in cancer and pre-cancer cells validates their contribution to disease progression, while reverting their alterations reveals EAC acquired dependencies that can be exploited in therapy