A bioenergetic model that links psychopathology and intelligence: Implications for research and clinical practice

Decomposing the structure of human cerebral function in its domains, such as affect regulation or cognition, forms the backbone of psychiatric diagnosis and treatment. Research continues to decipher the domains and hierarchical structure of cerebral function. So far, the findings strongly suggest two higher-order latent factors of general psychopathology (p factor) and general intelligence (g factor). Both general factors are functions of the same organ, covary, share risk factors as well as biomarkers, and benefit from the same treatments. However, to our knowledge, a model that connects both components of cerebral function within a higher-order latent factor and describes its potential biological underpinning is lacking. First, we suggest the general factor of cerebral function (c factor) as the shared variance of the measures of g and p in a bi-factor model. Second, we propose and provide evidence that mitochondrial bioenergetics (MB) is one core biological underpinning of c. Third, we describe how this c factor mito-bioenergetics (CMB) model may transform research and clinical practice by advancing knowledge of treatment effects, risk factors, biomarkers and clinical outcomes. Finally, we present a CMB model-based hypothesis stating that fatigue—as a phenotypical correlate of MB—directly loads on c.

Loneliness in Gender-Diverse and Sexual Orientation–Diverse Adolescents: Measurement Invariance Analyses and Between-Group Comparisons

Youth loneliness is a risk factor for myriad adverse psychosocial outcomes, making it a potentially informative construct for assessment and treatment research. Minority stressors may place LGBTQ+ (lesbian, gay, bisexual, transgender, and queer) youths at high risk of loneliness. However, the prevalence of loneliness across gender and sexual identities cannot be precisely estimated or compared without establishing that common measures assess the construct equivalently across groups. In a preregistered study, we determined the optimal structure of the UCLA Loneliness Scale and investigated whether it showed invariance across gender and sexual identities in a national U.S. sample of adolescents with elevated depressive symptoms ( N = 2,431; https://osf.io/52ctd ). Results supported strict invariance, indicating that loneliness scores can be meaningfully compared across groups in this sample. Exploratory analyses indicated that loneliness levels and LGBTQ+ identity predicted levels of depression and anxiety. We discuss implications for research on loneliness, health disparities, and psychopathology in high-symptom youths.

Smoking, race, ancestry and prospective abstinence

Background: Factors influencing cessation include biopsychosocial characteristics, treatments and responses to treatment. The first cessation trial designed to assess cessation disparities between African American and White cigarette smokers demonstrated that socioeconomic, treatment, psychosocial and smoking characteristics explained cessation disparities. Ongoing translational efforts in precision cessation treatment grounded in genetically informed biomarkers have identified cessation differences by genotype, metabolism, ancestry and treatment. Methods: In planned analyses, we evaluated six smoking-related measures, demographic and socioeconomic covariates, and prospective abstinence (7-day point prevalence at 12 weeks with bupropion, nicotine replacement and counseling treatments). We assessed concurrent and predictive validity in two covariate models differing by inclusion of Office of Management and Budget (OMB) race/ethnicity or genomic ancestry. Results: We studied Pharmacogenetic Study participants (N=456, mean age 49.5 years, 41.5% female, 7.4% African American, 9.4% Multiracial, 6.5% Other, and 6.7% Hispanic). Cigarettes per day (OR=0.95, P<.001), Fagerström score (OR=0.89, P≤.014), Time-To-First-Cigarette (OR=0.75, P≤.005) and predicted urinary nicotine metabolite ratio (OR=0.57, P≤.039) were associated with abstinence. OMB African American race (ORs from 0.31 and 0.35, p-values≤.007) and African genomic ancestry (ORs from 0.21 and 0.26, p-values≤.004) were associated in all abstinence models. Conclusions: Four smoking-related measures exhibited association with abstinence, including predicted nicotine metabolism based on a novel genomic model. African genomic ancestry was independently associated with reduced abstinence. Treatment research that includes social, psychological, treatment and biological factors is needed to reduce cessation disparities.

Potential Role of Natural Plant Medicine Cyclocarya paliurus in the Treatment of Type 2 Diabetes Mellitus

Type 2 diabetes mellitus (T2DM) is a common chronic metabolic disease that has become increasingly prevalent worldwide. It poses a serious threat to human health and places a considerable burden on global social medical work. To meet the increasing demand for T2DM treatment, research on hypoglycemic drugs is rapidly developing. Cyclocarya paliurus (Batal.) Iljinskaja is a medicinal plant that grows in China. The leaves of C. paliurus contain polysaccharides, triterpenoids, and other chemical components, which have numerous health benefits. Therefore, the use of this plant has attracted extensive attention in the medical community. Over the past few decades, contemporary pharmacological studies on C. paliurus extracts have revealed that it has abundant biological activities. Multiple in vitro and in vivo experiments have shown that C. paliurus extracts are safe and can play a therapeutic role in T2DM through anti-inflammatory and antioxidation activities, and intestinal flora regulation. Its efficacy is closely related to many factors, such as extraction, separation, purification, and modification. Based on summarizing the existing extraction methods, this article further reviews the potential mechanism of C. paliurus extracts in T2DM treatment, and we aimed to provide a reference for future research on natural plant medicine for the prevention and treatment of T2DM and its related complications.

A Systematically Conducted Scoping Review of the Evidence and Fidelity of Treatments for Verb and Sentence Deficits in Aphasia: Sentence Treatments

Purpose: This review article synthesizes and evaluates the evidence for sentence production treatments in aphasia, systematically charting impairment-based and functional communication outcomes. It reports (a) the level of evidence and fidelity of sentence treatments; (b) the impact of treatment on production of trained and untrained verbs and sentences, functional communication, and discourse; and (c) the potential active ingredients of treatment. Method: The search included studies from January 1980 to June 2019. The level of evidence of each study was documented, as was fidelity in terms of treatment delivery, enactment, and receipt. Studies were also categorized according to treatment methods used. Results: Thirty-three studies were accepted into the review and predominantly constituted Level 4 evidence (e.g., case control studies and case series). Thirty studies (90%) described treatment in sufficient detail to allow replication, but dosage was poorly reported, and fidelity of treatment was rarely assessed. The most commonly reported treatment techniques were mapping (10 studies: 30%), predicate argument structure treatment (six studies: 18%), and verb network strengthening treatment (five studies: 15%). Production of trained sentences improved for 83% of participants, and improvements generalized to untrained sentences for 59% of participants. Functional communication was rarely assessed, but discourse production improved for 70% of participants. Conclusions: The evidence for sentence treatments is predominantly generated from Level 4 studies. Treatments were effective for the majority of participants regarding trained sentence and discourse production. However, there is inconsistent use of statistical analysis to verify improvements, and diverse outcome measures are used, which makes interpretation of the evidence difficult. The quality of sentence treatment research would be improved by agreeing a core set of outcome measures and extended by ascertaining the views of participants on sentence treatments.

Microstructure Transformation In Palm-Fiber Cell Wall And Its Influence On the Fiber's Mechanical Properties During Alkali Treatment

In this study, we examined the microstructure transformation of palm fiber and the influence of this transformation on the fiber mechanical properties during alkali treatment. The fibers were treated with different concentrations of NaOH to study the change rules of the microstructure and the tensile properties. FT-IR microspectroscopic imaging and confocal laser scanning microscopy were adopted to observe microstructure transformation during alkali treatment. Research results showed that the hemicellulose and lignin in the fiber cell wall were removed by alkali treatment, leading to a rearrangement of cellulose chains. The tensile properties palm fibers were significantly improved because of crystallinity alterations in the cell walls after alkali treatment. This study might provide a basis for palm fiber’s high-value utilization in the field of materials.

Acute Management in Corrosive Ingestion

Corrosive ingestion is an important health problem and medical emergency worldwide. It occurs by accident or by intention. Acids cause coagulation necrosis, and alkalis cause liquefaction necrosis. In the acute period, stabilization of the patient is most important. Airway assessment and prompt management are a priority for severe cases. Caustic substance reflux into the esophagus resulting in further damage should be prevented. The initial evaluation should be performed by endoscopy and graded according to the Zargar classification. Computed tomography (CT) should be used to assess injury to the esophagus because CT is non-invasive. For Zargar 3b injuries, views from both endoscopy and CT scans should be considered. Post-corrosive esophageal stricture is a complication that responds poorly to treatment. Research and development for stricture prevention are ongoing, especially for Zargar 2b and 3a cases.

Explanatory Models of Depression in a Rural Community of Coastal Karnataka, India: A Cross-Sectional Survey

Background: Depression is a major public health problem but there is a huge treatment gap in India. Cultural beliefs influence conception of illness, personal meaning, help-seeking behaviors, and adherence to treatment. Research on explanatory models of depression attempt to explore these unique characteristics in an individual and the community. We set out to examine explanatory models of depression in a rural community of coastal Karnataka and explore the association between sociodemographic variables and explanatory models of depression. Methods: A cross-sectional household survey in the rural community of Harekala village, Mangaluru taluk, Dakshina Kannada district, Karnataka, was done using Kish tables. A total of 200 individuals were interviewed with an adaptation of the Short Explanatory Model Interview in a local language using a case vignette of depression. Results: Around 40% of the individuals perceived the problem as tension/stress/excessive worrying and did not perceive it as mental illness. A scant 10% of the participants recognized some mental illness. Around one-fifth of the individuals attributed the problem to evil spirits and black magic; female participants were more likely to endorse consulting a doctor (P = 0.003**) or a psychiatrist (P = 0.012*). In addition, participants belonging to Islam were less likely to consult a doctor (P = 0.028*) and psychiatrist (P = 0.021*). Also, participants belonging to lower social class were less likely to endorse psychiatric consultation (P = 0.018*) Conclusions: A vast majority of the study subjects failed to identify depression as an illness or acknowledge biomedical causation. Gender, religion, and socioeconomic class may influence help-seeking behavior.