Narratives of resilience after a period of substance abuse and crime

Substance abuse and criminality are critical problems in South Africa, yet little is understood about youth resilience. Through narrative analysis, this study sought to gain an understanding of resilience in eight men who have disengaged from criminality and substance abuse. Childhood difficulties, ineffective parenting, delinquent peers, and a lack of commitment to school, all contributed to involvement in risk behaviours. A desire to change, often triggered by a pivotal event, was important in turning away from risk behaviours. Other contributing factors included the negative impact of drug abuse, leadership and social skills, academic competence, access to social support and religious beliefs. Maintaining a prosocial life style was supported by giving back to others and an effective substance abuse programme.Key Words: resilience; substance abuse; criminality; gang involvement; interviews; narrative analysi

Spare the rod and save the child: Assessing the impact of parenting on child behaviour and mental health

Parenting has a considerable impact on children’s behaviour and mental health. Improving child health and behaviour requires an understanding of the relationship between parenting practices; contexual factors such as parental mental health, intimate partner violence, substance abuse and poverty; and children’s behaviour. In this article the authors report the findings of a survey of parenting and child behaviour in a small rural South African community. The findings show that corporal punishment, the stress of parenting and parental mental health are significantly associated with both children’s internalising (depression and anxiety) and externalising (rulebreaking and aggression) symptoms. Intimate partner violence in the home was also associated with children’s externalising symptoms. These findings imply that parent support and training, and an increase in services to address intimate partner violence and mental health problems, should be prioritised as part of a national violence reduction strategy

When a small self means manageable obstacles: Spontaneous self-distancing predicts divergent effects of awe during a subsequent performance stressor

The emotion of awe occurs when one feels small relative to something vaster than the self; it leads to benefits such as care for others. However, because awe elicits the experience of a “small self,” it is unclear to what extent awe positively versus negatively affects responses to subsequent stressors. If personal obstacles seem trivial in comparison to awe-inspiring stimuli, stressors should seem either manageable or unimportant, but if one's capabilities seem comparatively insignificant, stressors should seem unmanageable. We hypothesized that awe would have a generally positive effect on responses during a subsequent performance stressor, but that this would further depend on whether people tended to spontaneously take on a self-distanced versus self-immersed perspective. In the face of awe, focusing less on the self (self-distanced perspective) should make obstacles in particular seem trivial, whereas focusing more on the self (self-immersed) should lead one's capabilities to seem insignificant. Using the biopsychosocial model of challenge/threat, we found that spontaneous self-distancing significantly moderated awe's effects on responses during a subsequent performance stressor (speech task): For participants who self-distanced, the awe condition led to cardiovascular responses consistent with greater challenge than the neutral control condition (reflecting evaluating the stressor as more manageable); for participants who self-immersed, awe predicted relative threat (less manageable stressor). There was no support for awe making people care less about the stressor (as reflected in cardiovascular responses consistent with task engagement). This offers insight into how awe can have divergent effects on people's experiences during performance stressors

Combined tissue and fluid proteomics with Tandem Mass Tags to identify low-abundance protein biomarkers of disease in peripheral body fluid: An Alzheimer's Disease case study

RATIONALE: Ideal biomarkers are present in readily accessible samples including plasma and cerebrospinal fluid (CSF), and are directly derived from diseased tissue, therefore likely to be of relatively low abundance. Traditional unbiased proteomic approaches for biomarker discovery have struggled to detect low-abundance markers due to the high dynamic range of proteins, the predominance of hyper-abundant proteins, and the use of data-dependent acquisition mass spectrometry (MS). To overcome these limitations and improve biomarker discovery in peripheral fluids, we have developed TMTcalibrator™; a novel MS workflow combining isobarically labelled diseased tissue digests in parallel with an appropriate set of labelled body fluids to increase the chance of identifying low-abundance, tissue-derived biomarkers. METHODS: A disease relevant cell line was labelled with TMT® in a range of concentrations generating a multi-point calibration curve. Peripheral biofluid samples were labelled with the remaining tags and quantitative analysis was performed using an Orbitrap Fusion Tribrid mass spectrometer with a Top10 CID-HCD MS3 synchronous precursor selection (SPS) method. SPS allowed direct analysis of non-depleted, unfractionated CSF samples with complete profiling of six individual samples requiring only 15 hours of MS time, equivalent to 1.5 h per sample. RESULTS: Using the TMTcalibrator™ workflow allowed the identification of several markers of microglia activation that are differentially quantified in the CSF of patients with Alzheimer's disease (AD). We report peptides from 41 proteins that have not previously been detected in the CSF, that appear to be regulated by at least 60% in AD. CONCLUSIONS: This study has demonstrated the benefits of the new TMTcalibrator™ workflow and the results suggest this is a suitable and efficient method of detecting low-abundance peptides within biological fluids. The use of TMTcalibrator™ in further biomarker discovery studies should be considered to overcome some of the limitations commonly associated with more conventional approaches

Analysis of post-operative changes in serum protein expression profiles from colorectal cancer patients by MALDI-TOF mass spectrometry: a pilot methodological study

Background: Mass spectrometry-based protein expression profiling of blood sera can be used to discriminate colorectal cancer (CRC) patients from unaffected individuals. In a pilot methodological study, we have evaluated the changes in protein expression profiles of sera from CRC patients that occur following surgery to establish the potential of this approach for monitoring post-surgical response and possible early prediction of disease recurrence. Methods: In this initial pilot study, serum specimens from 11 cancer patients taken immediately prior to surgery and at approximately 6 weeks following surgery were analysed alongside 10 normal control sera by matrix-assisted laser desorption ionisation time of-flight-mass spectrometry (MALDI-TOF MS). Using a two-sided t-test the top 20 ranked protein peaks that discriminate normal from pre-operative sera were identified. These were used to classify postoperative sera by hierarchical clustering analysis (Spearman's Rank correlation) and, as an independent `test' dataset, by k-nearest neighbour and weighted voting supervised learning algorithms. Results: Hierarchical cluster analysis classified post-operative sera from all six early Dukes' stage (A and B) patients as normal. The remaining five post-operative sera from more advanced Dukes' stages (C1 and C2) were classified as cancer. Analysis by supervised learning algorithms similarly grouped all advanced Dukes' stages as cancer, with four of the six post-operative sera from early Dukes' stages being classified as normal (P = 0.045; Fisher's exact test). Conclusions: The results of this pilot methodological study illustrate the proof-of-concept of using protein expression profiling of post-surgical blood sera from individual patients to monitor disease course. Further validation on a larger patient cohort and using an independent post-operative sera dataset would be required to evaluate the potential clinical relevance of this approach. Prospective data, including follow-up on patient survival, could in the future, then be evaluated to inform decisions on individualised treatment modalities

Comparative Ultrastructure Of Digestive Diverticulae In Bathymodiolin Mussels: Discovery Of An Unknown Spherical Inclusion (Six) In Digestive Cells Of A Seep Mussel

Mussels in the genus Bathymodiolus host endosymbiotic bacteria in their gills, from which the mussel derives much of its nutrition. Bathymodiolin mussels also have functional digestive systems and, as in shallow-water mytilid mussels, cells of the digestive diverticulae are of two types: basophilic secretory cells and columnar digestive cells. Cellular contents of secretory and digestive cells of Bathymodiolus thermophilus and Bathymodiolus brevior from deep-sea hydrothermal vents are comparable to cellular contents of these cell types observed in shallow-water mytilids. In the seep mussel Bathymodiolus heckerae, cellular contents of columnar cells were anomalous, being dominated by an unknown cellular inclusion herein called spherical inclusion unknown or SIX. SIX was observed in all digestive cells and some basophilic cells of B. heckerae examined with TEM. It is a large (2-10-mu m diameter) and abundant (7 +/- 1.5 inclusions per epithelial cell section) inclusion, with a double external membrane and stacked internal lamellae. No microbial DNA was detected in digestive tubules of B. heckerae using molecular probes, preferential DNA amplification techniques, or DAPI staining, suggesting that SIX is not a unicellular parasite or symbiont. The ubiquity and abundance of SIX within cells of the digestive diverticula suggest that it has an important cellular function (positive or negative), yet to be determined

Submillimeter Studies of Prestellar Cores and Protostars: Probing the Initial Conditions for Protostellar Collapse

Improving our understanding of the initial conditions and earliest stages of protostellar collapse is crucial to gain insight into the origin of stellar masses, multiple systems, and protoplanetary disks. Observationally, there are two complementary approaches to this problem: (1) studying the structure and kinematics of prestellar cores observed prior to protostar formation, and (2) studying the structure of young (e.g. Class 0) accreting protostars observed soon after point mass formation. We discuss recent advances made in this area thanks to (sub)millimeter mapping observations with large single-dish telescopes and interferometers. In particular, we argue that the beginning of protostellar collapse is much more violent in cluster-forming clouds than in regions of distributed star formation. Major breakthroughs are expected in this field from future large submillimeter instruments such as Herschel and ALMA.Comment: 12 pages, 9 figures, to appear in the proceedings of the conference "Chemistry as a Diagnostic of Star Formation" (C.L. Curry & M. Fich eds.