Intrapersonal dynamics of closeness versus distance: Qualities of the self-concept distinguish destructive overdependence, dysfunctional detachment, and healthy dependency.

INTRODUCTION: People vary in the degree to which they affiliate with others; exaggerated efforts maintain interpersonal closeness versus distance are codified in longstanding categorical models of personality pathology, and in contemporary dimensional frameworks as well. OBJECTIVE: To examine associations between destructive overdependence (DO), dysfuntional detachment (DD), and healthy dependency (HD) and qualities of the self-concept. METHOD: A mixed-sex sample of 229 adults completed the Relationship Profile Test to assess DO, DD, and HD, and the Object Relations Inventory (ORI) to assess qualities of the self-concept. RESULTS AND CONCLUSION: Analyses indicated that (1) the ORI Strong dimension was uniquely predictive of DO (inversely related); (2) ORI Warm and Nurturing were unique predictors of DD (both inversely related); and (3) ORI Nurturing and Successful were unique predictors of HD. This study illuminates key intrapersonal features of these three personality styles.

Toward a More Nuanced Perspective on Detachment: Differentiating Schizoid and Avoidant Personality Styles through Qualities of the Self-Representation.

Avoidant personality disorder was introduced in DSM-III (American Psychiatric Association [APA], 1980), and debate persists regarding the utility of having two separate variants of the "detached personality." The present study addressed this issue through ratings of open-ended self-descriptions provided by community adults with high scores on schizoid versus avoidant personality traits (N = 229). The self-concept of individuals with avoidant personality style reflected a lack of positive self-regard and low self-efficacy/agency. Regarding schizoid personalities, neither positive nor negative self-regard, self-complexity, or self-efficacy/agency was found. Examination of specific variables yielded a relationship between avoidant personality styles, depression, and anxiety, consistent with literature noting simultaneous desire and fear of interpersonal relationships in avoidant patients (APA, 1980; Sheldon & West, 1990). Similarly, examination of individual variables yielded a negative association between schizoid personality styles and tolerance for contradictory aspects of the self, consistent with theoretical writings in this area (Kernberg, 1976; McWilliams, 2006). Results support the argument that these two personality styles represent distinct constructs. Findings support the utility of self-concept assessment to assist treatment planning and differential diagnosis. Treatment implications include using open-ended descriptions of patients' self-concepts to explore changes that may not be accessible via more structured forms of patient self-report.

Blood-Based Transcriptomic Biomarkers Are Predictive of Neurodegeneration Rather Than Alzheimer's Disease.

Alzheimer's disease (AD) is a growing global health crisis affecting millions and incurring substantial economic costs. However, clinical diagnosis remains challenging, with misdiagnoses and underdiagnoses being prevalent. There is an increased focus on putative, blood-based biomarkers that may be useful for the diagnosis as well as early detection of AD. In the present study, we used an unbiased combination of machine learning and functional network analyses to identify blood gene biomarker candidates in AD. Using supervised machine learning, we also determined whether these candidates were indeed unique to AD or whether they were indicative of other neurodegenerative diseases, such as Parkinson's disease (PD) and amyotrophic lateral sclerosis (ALS). Our analyses showed that genes involved in spliceosome assembly, RNA binding, transcription, protein synthesis, mitoribosomes, and NADH dehydrogenase were the best-performing genes for identifying AD patients relative to cognitively healthy controls. This transcriptomic signature, however, was not unique to AD, and subsequent machine learning showed that this signature could also predict PD and ALS relative to controls without neurodegenerative disease. Combined, our results suggest that mRNA from whole blood can indeed be used to screen for patients with neurodegeneration but may be less effective in diagnosing the specific neurodegenerative disease.

Proteome profiling of cerebrospinal fluid using machine learning shows a unique protein signature associated with APOE4 genotype.

INTRODUCTION: Proteome changes associated with APOE4 variant carriage that are independent of Alzheimer's disease (AD) pathology and diagnosis are unknown. This study investigated APOE4 proteome changes in people with AD, mild cognitive impairment, and no impairment. METHODS: Clinical, APOE genotype, and cerebrospinal fluid (CSF) proteome and AD biomarker data was sourced from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database. Proteome profiling was done using supervised machine learning. RESULTS: We found an APOE4-specific proteome signature that was independent of cognitive diagnosis and AD pathological biomarkers, and increased risk of progression to cognitive impairment. Proteins were enriched in brain regions including the caudate and cortex and cells including endothelial cells, oligodendrocytes, and astrocytes. Enriched peripheral immune cells included T cells, macrophages, and B cells. DISCUSSION: APOE4 carriers have a unique CSF proteome signature associated with a strong brain and peripheral immune and inflammatory phenotype that likely underlies APOE4 carriers' vulnerability to cognitive decline and AD.

Impact of High Fat Consumption on Neurological Functions after Traumatic Brain Injury in Rats.

Traumatic brain injury (TBI) and obesity are two common conditions in modern society; both can impair neuronal integrity and neurological function. However, it is unclear whether the coexistence of both conditions will worsen outcomes. Therefore, in a rat model, we aimed to investigate whether the coexistence of TBI and a high-fat diet (HFD) has an additive effect, leading to more severe neurological impairments, and whether they are related to changes in brain protein markers of oxidative stress, inflammation, and synaptic plasticity. Sprague-Dawley rats (female, ∼250 g) were divided into HFD (43% fat) and diet (CD) (17% fat) groups for 6 weeks. Within each dietary group, half underwent a TBI by a weight-drop device, and the other half underwent sham surgery. Short-term memory and sensory function were measured at 24 h, 1 week, 3 weeks, and 6 weeks post-TBI. Brain tissues were harvested at 24 h and 6 weeks post-TBI, and markers of oxidative stress, apoptosis, inflammation, and synaptic plasticity were measured via immunostaining and Western blotting. In rats without TBI, HFD increased the pre-synaptic protein synaptophysin. In rats with TBI, HFD resulted in worsened sensory and memory function, an increase in activated macrophages, and a decrease in the endogenous antioxidant manganese superoxide dismutase (MnSOD). Our findings suggest that the additive effect of HFD and TBI worsens short term memory and sensation deficits, and may be driven by enhanced oxidative stress and inflammation.

The Unfolded Protein Response in the Human Infant Brain and Dysregulation Seen in Sudden Infant Death Syndrome (SIDS).

Low orexin levels in the hypothalamus, and abnormal brainstem expression levels of many neurotransmitter and receptor systems in infants who died suddenly during a sleep period and diagnosed as sudden infant death syndrome (SIDS), may be linked to abnormal protein unfolding. We studied neuronal expression of the three unfolded protein response (UPR) pathways in the human infant brainstem, hypothalamus, and cerebellum: activating transcription factor 6 (ATF6), phosphorylated inositol-requiring enzyme 1 (IRE1), and phosphorylated protein-kinase (PKR)-like endoplasmic reticulum (ER) kinase (pPERK). Percentages of positively stained neurons were examined via immunohistochemistry and compared between SIDS (n = 28) and non-SIDS (n = 12) infant deaths. Further analysis determined the effects of the SIDS risk factors including cigarette smoke exposure, bed-sharing, prone sleeping, and an upper respiratory tract infection (URTI). Compared to non-SIDS, SIDS infants had higher ATF6 in the inferior olivary and hypoglossal nuclei of the medulla, higher pIRE1 in the dentate nucleus of the cerebellum, and higher pPERK in the cuneate nucleus and hypothalamus. Infants who were found prone had higher ATF6 in the hypoglossal and the locus coeruleus of the pons. Infants exposed to cigarette smoke had higher ATF6 in the vestibular and cuneate nuclei of the medulla. Infants who were bed-sharing had higher pPERK in the dorsal raphe nuclei of the pons and the Purkinje cells of the cerebellum. This study indicates that subgroups of SIDS infants, defined by risk exposure, had activation of the UPR in several nuclei relating to proprioception and motor control, suggesting that the UPR underlies the neuroreceptor system changes responsible for these physiological functions, leading to compromise in the pathogenesis of SIDS.

The koala hold from down under: another choice in breastfeeding position.

While there are no set rules about breastfeeding positions, Australian lactation practice has traditionally recommended some established ones. One position that can provide an alternative is the "Koala Hold." This hold mimics that of the koala such that the baby is straddled on the mother's knee, skin to skin, in the upright position. This article describes the techniques of the Koala Hold and identifies the advantages and considerations for the use of this position.