Miracle-dz/UniFAR-FTUs huggingface dataset:
Fucosterol of Marine Macroalgae: Bioactivity, Safety and Toxicity on Organism

Fucosterol (24-ethylidene cholesterol) is a bioactive compound belonging to the sterol group that can be isolated from marine algae. Fucosterol of marine algae exhibits various biological activities including anti-osteoarthritic, anticancer, anti-inflammatory, anti-photoaging, immunomodulatory, hepatoprotective, anti-neurological, antioxidant, algicidal, anti-obesity, and antimicrobial. Numerous studies on fucosterol, mainly focusing on the quantification and characterization of the chemical structure, bioactivities, and health benefits of fucosterol, have been published. However, there is no comprehensive review on safety and toxicity levels of fucosterol of marine algae. This review aims to discuss the bioactivities, safety, and toxicity of fucosterol comprehensively, which is important for the application and development of fucosterol as a bioactive compound in nutraceutical and pharmaceutical industries. We used four online databases to search for literature on fucosterol published between 2002 and 2020. We identified, screened, selected, and analyzed the literature using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses method and identified 43 studies for review. Despite the potential applications of fucosterol, we identified the need to fill certain related research gaps. Fucosterol exhibited low toxicity in animal cell lines, human cell lines, and animals. However, studies on the safety and toxicity of fucosterol at the clinical stage, which are required before fucosterol is developed for the industry, are lacking.
Modulation of Plasma and Milk Sphingolipids in Dairy Cows Fed High-Starch Diets

Bovine milk is a significant source of sphingolipids, dietary compounds that can exert anti-inflammatory actions, and which can modulate the host’s microbiome. Because sphingolipid synthesis can be modified by diet, we hypothesized that dietary conditions which reduced FFA availability may result in reduced sphingolipid synthesis. Twelve ruminally cannulated cows (120 ± 52 DIM; 35.5 ± 8.9 kg of milk/d; mean ± SD) were randomly assigned to treatment in a crossover design with 21-d periods. Treatments were (1) High starch (HS), (2) Control. The HS diet contained 29% starch, 24% NDF, and 2.8% fatty acids (FA), whereas the Control diet contained 20% starch, 31% NDF, and 2.3% FA. Plasma and milk samples were obtained on d 21 of each period and sphingolipids were quantified using targeted metabolomics. Univariate and multivariate analyses of generalized log-transformed and Pareto-scaled data included ANOVA (fixed effects of treatment) and discriminant analysis. The lipidomics analysis detected 71 sphingolipids across plasma and milk fat, including sphinganines (n = 3), dihydro-ceramides (n = 8), ceramides (Cer; n = 15), sphingomyelins (SM; n = 17), and glycosylated ceramides (n = 28). Followed by Cer, SM were the most abundant sphingolipids detected in milk and plasma, with a preponderance of 16:0-, 23:0-, and 24:0-carbon sidechains. Although no effects of HS diets were observed on plasma sphingolipids, we detected consistent reductions in the concentrations of several milk Cer (e.g., 22:0- and 24:0-Cer) and SM (17:0- and 23:0-SM) in response to HS. Discriminant analysis revealed distinct metabolite separation of HS and Control groups, with several Cer and SM being distinctively predictive of dietary treatment. We conclude that HS diets can reduce the secretion of milk Cer and SM, even in the absence of changes in circulating sphingolipids.
A tutorial on assessing statistical power and determining sample size for structural equation models.

Structural equation modeling (SEM) is a widespread approach to test substantive hypotheses in psychology and other social sciences. However, most studies involving structural equation models neither report statistical power analysis as a criterion for sample size planning nor evaluate the achieved power of the performed tests. In this tutorial, we provide a step-by-step illustration of how a priori, post hoc, and compromise power analyses can be conducted for a range of different SEM applications. Using illustrative examples and the R package semPower, we demonstrate power analyses for hypotheses regarding overall model fit, global model comparisons, particular individual model parameters, and differences in multigroup contexts (such as in tests of measurement invariance). We encourage researchers to yield reliable-and thus more replicable-results based on thoughtful sample size planning, especially if small or medium-sized effects are expected. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
COVID-19 Pandemic and Lockdown: Associations With Personality and Stress Components

The present study examines the role of personality traits, interpersonal relationships, and sociodemographic factors on perceived stress, related to COVID-19, and compliance with measures to mitigate its spread. Data were collected in the midst of the ‘first wave’ lockdown, with the survey completed in full by 963 participants. We measured stress, directly related to the pandemic, rather than general stress, and were able to distinguish between symptoms of emotional, behavioural, cognitive, physical stress, and alienation with high concordance. We included personality scoring with standardized T-scores, allowing for cross-study comparison, and a broader questionnaire on the participants’ support for COVID-19 mitigation measures. Results of the multiple regression models indicated that low emotional stability and introversion, and high conscientiousness, common conflicts with loved ones, and some demographics (female gender, middle age, chronic health problems) correspond to elevated stress. Conscientiousness was positively associated with total stress and some of its components, whereas opposite results were found for emotional stability. Extraversion was negatively correlated to total stress, its emotional and physical components, and alienation. Surprisingly, increased stress was not related to greater measure adherence. The present results shed light on how personality, interpersonal relationships, and sociodemographic factors influence people’s stress response during a pandemic.
AKAP13 couples GPCR signaling to mTORC1 inhibition

The mammalian target of rapamycin complex 1 (mTORC1) senses multiple stimuli to regulate anabolic and catabolic processes. mTORC1 is typically hyperactivated in multiple human diseases such as cancer and type 2 diabetes. Extensive research has focused on signaling pathways that can activate mTORC1 such as growth factors and amino acids. However, less is known about signaling cues that can directly inhibit mTORC1 activity. Here, we identify A-kinase anchoring protein 13 (AKAP13) as an mTORC1 binding protein, and a crucial regulator of mTORC1 inhibition by G-protein coupled receptor (GPCR) signaling. GPCRs paired to Gαs proteins increase cyclic adenosine 3’5’ monophosphate (cAMP) to activate protein kinase A (PKA). Mechanistically, AKAP13 acts as a scaffold for PKA and mTORC1, where PKA inhibits mTORC1 through the phosphorylation of Raptor on Ser 791. Importantly, AKAP13 mediates mTORC1-induced cell proliferation, cell size, and colony formation. AKAP13 expression correlates with mTORC1 activation and overall lung adenocarcinoma patient survival, as well as lung cancer tumor growth in vivo. Our study identifies AKAP13 as an important player in mTORC1 inhibition by GPCRs, and targeting this pathway may be beneficial for human diseases with hyperactivated mTORC1.
The thought gap after conversation: Underestimating the frequency of others' thoughts about us.

After conversations, people continue to think about their conversation partners. They remember their stories, revisit their advice, and replay their criticisms. But do people realize that their conversation partners are doing the same? In eight studies, we explored the possibility that people would systematically underestimate how much their conversation partners think about them following interactions. We found evidence for this thought gap in a variety of contexts, including field conversations in a dining hall (Study 1), "getting acquainted" conversations in the lab (Study 2), intimate conversations among friends (Study 3), and arguments between romantic partners (Study 4). Several additional studies investigated a possible explanation for the thought gap: the asymmetric availability of one's own thoughts compared with others' thoughts. Accordingly, the thought gap increased when conversations became more salient (Study 4) and as people's thoughts had more time to accumulate after a conversation (Study 6); conversely, the thought gap decreased when people were prompted to reflect on their conversation partners' thoughts (Study 5). Consistent with our proposed mechanism, we also found that the thought gap was moderated by trait rumination, or the extent to which people's thoughts come easily and repetitively to mind (Study 7). In a final study, we explored the consequences of the thought gap by comparing the effects of thought frequency to thought valence on the likelihood of reconciliation after an argument (Study 8). Collectively, these studies demonstrate that people remain on their conversation partners' minds more than they know. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
Allogeneic transplant and CAR-T therapy after autologous transplant failure in DLBCL: a noncomparative cohort analysis

Key Points CIBMTR prognostic score predicts PFS and OS of patients with DLBCL receiving axicabtagene ciloleucel treatment after a prior autoHCT failure. CIBMTR high/very high-risk score marks an adverse risk cohort where novel immunotherapy or relapse prevention approaches are warranted.
The Bogert effect, a factor in evolution

Behavior is one of the major architects of evolution: by behaviorally modifying how they interact with their environments, organisms can influence natural selection, amplifying it in some cases and dampening it in others. In one of the earliest issues of Evolution, Charles Bogert proposed that regulatory behaviors (namely thermoregulation) shield organisms from selection and limit physiological evolution. Here, I trace the history surrounding the origin of this concept (now known as the “Bogert effect” or “behavioral inertia”), and its implications for physiological and evolutionary research throughout the 20th century. A key follow‐up study in the early 21st century galvanized renewed interest in Bogert's classic ideas, and established a focus on slowdowns in the rate of evolution in response to regulatory behaviors. I illustrate recent progress on the Bogert effect in evolutionary research, and discuss the ecological variables that predict whether and how strongly the phenomenon unfolds. Based on these discoveries, I provide hypotheses for the Bogert effect across several scales: patterns of trait evolution within and among groups of species, spatial effects on the phenomenon, and its importance for speciation. I also discuss the inherent link between behavioral inertia and behavioral drive through an empirical case study linking the phenomena. Modern comparative approaches can help put the macroevolutionary implications of behavioral buffering to the test: I describe progress to date, and areas ripe for future investigation. Despite many advances, bridging microevolutionary processes with macroevolutionary patterns remains a persistent gap in our understanding of the Bogert effect, leaving wide open many avenues for deeper exploration.
Breadstick fortification with red grape pomace: effect on nutritional, technological and sensory properties

Abstract BACKGROUND Grape pomace (GP), a wine‐making by‐product rich in dietary fiber (DF) and total phenolic compounds (TPC), is a potential functional ingredient in the fortification of baked goods. RESULTS In the present study, fortified breadsticks samples were obtained by replacing wheat flour with 0, 5 and 10 g 100 g−1 of powdered GP (GPP). The GPP inclusion affected the rheological properties of the doughs by increasing the water absorption and tenacity (P) at the same time as reducing the extensibility (L), with a significant increase in the P/L value and a decrease in the swelling index (G) value and deformation energy (W). Textural characteristics of breadsticks were influenced by the GPP addition, showing a reduction in hardness and fracturability as the amount of GPP increased in the recipe. The GPP fortified breadsticks exhibited decreased pH, volume and specific volume values compared to the control. The TPC and the antioxidant capacity increased in GPP fortified breadsticks, whereas the increased amount of DF allowed the products to benefit from the claim ‘high fiber content’ at the highest level of GPP inclusion. The sensory evaluation revealed that GPP addition increased wine odor, acidity, bitterness, astringency and hardness, and decreased the regularity of alveolation and friability. Finally, the GPP fortified products achieved good sensorial acceptability. CONCLUSION GPP improved the nutritional values of fortified breadsticks and changed the rheology of dough and breadsticks' technological properties without affecting sensory acceptability. © 2021 The Authors. Journal of The Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.
What drives older adults’ use of mobile registration apps in Taiwan? An investigation using the extended UTAUT model

ABSTRACT This study aimed to provide an integrated model that examines the determinants of older adults’ intention to use mobile registration applications (apps) based on UTAUT, and the role of aging factors including perceived physical condition, technology anxiety, inertia, and self-actualization needs. The proposed model was tested by PLS (Partial Least Squares) with data collected from 361 older adults. Results indicated that three variables derived from UTAUT, namely performance expectancy, social influence, and facilitating conditions, influence mobile registration app usage intention. Additionally, the aging factors of inertia and self-actualization needs have significant impacts on older adults’ usage intentions. Results further demonstrated that smart phone usage experience had a moderator effect on the relationship between usage intention and three antecedents (performance expectancy, effort expectancy, facilitating condition), but not social influence. Findings provide valuable theoretical contributions for researchers, and practical implications for hospitals developing mobile registration apps in Taiwan.
Congenital X‐linked neutropenia with myelodysplasia and somatic tetraploidy due to a germline mutation in SEPT6

Septins play key roles in mammalian cell division and cytokinesis but have not previously been implicated in a germline human disorder. A male infant with severe neutropenia and progressive dysmyelopoiesis with tetraploid myeloid precursors was identified. No known genetic etiologies for neutropenia or bone marrow failure were found. However, next‐generation sequencing of germline samples from the patient revealed a novel, de novo germline stop‐loss mutation in the X‐linked gene SEPT6 that resulted in reduced SEPT6 staining in bone marrow granulocyte precursors and megakaryocytes. Patient skin fibroblast‐derived induced pluripotent stem cells (iPSCs) produced reduced myeloid colonies, particularly of the granulocyte lineage. CRISPR/Cas9 knock‐in of the patient's mutation or complete knock‐out of SEPT6 was not tolerated in non‐patient‐derived iPSCs or human myeloid cell lines, but SEPT6 knock‐out was successful in an erythroid cell line and resulting clones revealed a propensity to multinucleation. In silico analysis predicts that the mutated protein hinders the dimerization of SEPT6 coiled‐coils in both parallel and antiparallel arrangements, which could in turn impair filament formation. These data demonstrate a critical role for SEPT6 in chromosomal segregation in myeloid progenitors that can account for the unusual predisposition to aneuploidy and dysmyelopoiesis.
Comment on “Circ_0000317/microRNA‐520g/HOXD10 axis affects the biological characteristics of colorectal cancer”

Dear Editor, Noncoding RNAs (ncRNAs) act as key regulators of physiological programs in developmental and disease contexts, which have been identified as oncogenic drivers and tumor suppressors in some types of cancer. We read with great interest the article by Lai FJ and colleagues (Lai FJ, et al. Kaohsiung J Med Sci. 2021) who found that the circular RNA circ_0000317 repressed colorectal cancer progression by targeting miR-520g and modulating HOXD10 expression. This finding has far-reaching implications. However, we believe it is necessary to further clarify the bioinformatics analysis strategy used in this study. First, from the description in their paper, it seems that the raw microarray data were not preprocessed. However, we are of the opinion that these steps are necessary because data preprocessing is an important guarantee of the reliability of microarray analysis results. Second, according to the authors' description, it seems that unadjusted p values and gene expression fold change values were used to define significantly differentially expressed circular RNAs. However, because of the likelihood of high false positives caused by multiple comparisons, the statistical methods used for microarray analysis should be carefully selected. Only accurate analysis results will provide a convincing basis for subsequent experiments. In order to deal with the problem of multiple comparisons, we suggest that Benjamini–Hochberg or Bonferroni adjusted p values can be used. In addition, linear modeling with empirical Bayes moderation showed good control of the false discovery rate and reasonable sensitivity when defining differentially expressed noncoding RNAs. We consider that the R/Bioconductor software package Linear Models for Microarray Analysis (Limma), which uses linear models to analyze microarray and high-throughput PCR data, is the preferred method for such analyses. Limma results can be used to choose appropriate expression fold changes and false discovery rates <0.05 as conservative cutoffs to analyze the changes in gene expression.
Moderating role of motivational preference in the relationship between attachment quality and emotional empathy among autistic caregivers

ABSTRACT The study investigated the moderating role of motivational preference in the relationship between attachment quality and emotional empathy among sixty-five autistic caregivers (42 males and 23 females). Participants were drawn from Therapeutic Inclusive Nursery, Primary, and Secondary School in Abakpa Nike, Enugu State, Nigeria. Attachment Quality Scale, Work Preference Inventory Scale, and Emotional Empathy Scale were used in the study. Hayes PROCESS macro regression-based, path-analytical framework was employed to analyse the data. Motivational preference and the four dimensions of attachment quality predicted emotional empathy. Motivational preference did not moderate the relationship between security, avoidance and ambivalent worry dimensions of attachment quality and emotional empathy. Motivational preference moderated the relationship between ambivalent merger and emotional empathy (β = −.14, t = −3.15, p = <.05). Ambivalent merger predicted emotional empathy for those with low motivational preference (β = 7.22, p = <.05), moderate motivational preference (β = 3.07, p = < .05), and for those with high motivational preference (β = 1.01, p = <.05). Implications and limitations of the findings were discussed and suggestions for further studies were made.
Multiple Immunofluorescence Imaging Analysis Reveals Differential Expression of Disialogangliosides GD3 and GD2 in Neuroblastomas

Background Peripheral neuroblastic tumors (pNTs) are the most common childhood extracranial solid tumors. There are several therapeutic strategies targeting disialoganglioside GD2. Disialoganglioside GD3 has become a potential target. However, the mechanism by which pNTs express GD3 and GD2 remains unclear. We investigated the combined expression status of GD3 and GD2 in pNTs and delineated their clinicopathological values. Methods GD3 and GD2 expression was examined in pNT tissue samples (n = 35) using immunohistochemistry and multiple immunofluorescence imaging. Results GD3 and GD2 expression was positive in 32/35 and 25/35 samples, respectively. Combinatorial analysis of GD3 and GD2 expression in neuroblastoma showed that both were heterogeneously expressed from cell to cell. There were higher numbers of GD3-positive and GD2-negative cells in the low-risk group than in the intermediate-risk (P = 0.014) and high-risk (P = 0.009) groups. Cases with high proportions of GD3-positive and GD2-negative cells were associated with the International Neuroblastoma Staging System stage (P = 0.004), Children’s Oncology Group risk group (P = 0.001), and outcome (P = 0.019) and tended to have a higher overall survival rate. Conclusion We demonstrated that neuroblastomas from low-risk patients included more GD3-positive and GD2-negative cells than those from high-risk patients. Clarifying the heterogeneity of neuroblastoma aids in better understanding the biological characteristics and clinical behavior.
Psychiatric Disorders among the Military in West Africa: A Systematic Narrative Review

(1) Background: Military combat impacts the mental health of veterans and active military personnel. Although various studies, the majority of which are from Westernized countries, have provided insight into how combat causes psychiatric disorders, such as post-traumatic stress disorder (PTSD), depression, and anxiety among veterans, there appears to be scant published literature on psychiatric disorders among military personnel in the West African region. It is important to contextually understand the psychiatric disorders among military personnel in this region who may be faced with similar vulnerabilities to their counterparts from Western cultures. (2) Methods: This study follows the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines. Studies were included if they were published in English between January 2010 and January 2021 and assessed mental health problems or psychiatric disorders among soldiers in West Africa. (3) Results: All three included studies were from Nigeria. High prevalence rates of substance and alcohol use were reported. (4) Conclusions: This review highlights the need for more research in this population as well as identifying the intervention needs of the soldiers and their implications.