The Stressful Personality: A Meta-Analytical Review of the Relation Between Personality and Stress.

The current study presented the first meta-analytic review on the associations between the Big Five personality traits and stress measured under different conceptualizations (stressor exposure, psychological and physiological stress responses) using a total of 1,575 effect sizes drawn from 298 samples. Overall, neuroticism was found to be positively related to stress, whereas extraversion, agreeableness, conscientiousness, and openness were negatively linked to stress. When stress assessed under different conceptualizations was tested, only neuroticism, agreeableness, and conscientiousness were related to stressor exposure. All of the Big Five personality traits were significantly associated with psychological stress perception, whereas the five personality traits showed weak to null associations with physiological stress response. Further moderation analyses suggested that the associations between personality traits and stress under different conceptualizations were also contingent upon different characteristics of stress, sample, study design, and measures. The results supported the important role of personality traits in individual differences in stress.

Relationship between caffeine intake and thyroid function: results from NHANES 2007-2012.

BACKGROUND: Moderate caffeine intake decreases the risk of metabolic disorders and all-cause mortality, and the mechanism may be related to its ergogenic actions. Thyroid hormones are vital in metabolic homeostasis; however, their association with caffeine intake has rarely been explored. OBJECTIVE: To investigate the association between caffeine intake and thyroid function. METHODS: We collected data on demographic background, medical conditions, dietary intake, and thyroid function from the National Health and Nutrition Examination Survey (NHANES) 2007-2012. Subgroups were classified using two-step cluster analysis, with sex, age, body mass index (BMI), hyperglycemia, hypertension, and cardio-cerebral vascular disease (CVD) being used for clustering. Restrictive cubic spline analysis was employed to investigate potential nonlinear correlations, and multivariable linear regression was used to evaluate the association between caffeine consumption and thyroid function. RESULTS: A total of 2,582 participants were included, and three subgroups with different metabolic features were clustered. In the most metabolically unhealthy group, with the oldest age, highest BMI, and more cases of hypertension, hyperglycemia, and CVD, there was a nonlinear relationship between caffeine intake and serum thyroid stimulating hormone (TSH) level. After adjusting for age, sex, race, drinking, smoking, medical conditions, and micronutrient and macronutrient intake, caffeine intake of less than 9.97 mg/d was positively associated with serum TSH (p = 0.035, standardized ß = 0.155); however, moderate caffeine consumption (9.97-264.97 mg/d) indicated a negative association (p = 0.001, standardized ß = - 0.152). CONCLUSIONS: Caffeine consumption had a nonlinear relationship with serum TSH in people with metabolic disorders, and moderate caffeine intake (9.97 ~ 264.97 mg/d) was positively associated with serum TSH.

Small but Nontrivial: A Comparison of Six Strategies to Handle Cross-Loadings in Bifactor Predictive Models.

The bifactor model is a promising alternative to traditional modeling techniques for studying the predictive validity of hierarchical constructs. However, no study to date has systematically examined the influence of cross-loadings on the estimation of regression coefficients in bifactor predictive models. Therefore, we present a systematic examination of the statistical performance of six modeling strategies to handle cross-loadings in bifactor predictive models: structural equation modeling (SEM), exploratory structural equation modeling (ESEM) with target rotation, Bayesian structural equation modeling (BSEM), and each of the three with augmentation. Results revealed four clear patterns: 1) forcing even small cross-loadings to zero was detrimental to empirical identification, estimation bias, power and Type I error rates; 2) the performance of ESEM with target rotation was unexpectedly weak; 3) augmented BSEM had satisfactory performance in an absolute sense and outperformed the other five strategies across most conditions; 4) augmentation improved the performance of ESEM and SEM, although the degree of improvement was not as substantial as that of BSEM. In addition, we also presented an empirical example to show the feasibility of the proposed approach. Overall, these findings can help users of bifactor predictive models design better studies, choose more appropriate analytical strategies, and obtain more reliable results. Implications, limitations, and future directions are discussed.

Comparative Transcriptomic Analyses for the Optimization of Thawing Regimes during Conventional Cryopreservation of Mature and Immature Human Testicular Tissue.

Cryopreservation of human testicular tissue, as a key element of anticancer therapy, includes the following stages: saturation with cryoprotectants, freezing, thawing, and removal of cryoprotectants. According to the point of view existing in "classical" cryobiology, the thawing mode is the most important consideration in the entire process of cryopreservation of any type of cells, including cells of testicular tissue. The existing postulate in cryobiology states that any frozen types of cells must be thawed as quickly as possible. The technologically maximum possible thawing temperature is 100 °C, which is used in our technology for the cryopreservation of testicular tissue. However, there are other points of view on the rate of cell thawing, according to how thawing should be carried out at physiological temperatures. In fact, there are morphological and functional differences between immature (from prepubertal patients) and mature testicular tissue. Accordingly, the question of the influence of thawing temperature on both types of tissues is relevant. The purpose of this study is to explore the transcriptomic differences of cryopreserved mature and immature testicular tissue subjected to different thawing methods by RNA sequencing. Collected and frozen testicular tissue samples were divided into four groups: quickly (in boiling water at 100 °C) thawed cryopreserved mature testicular tissue (group 1), slowly (by a physiological temperature of 37 °C) thawed mature testicular tissue (group 2), quickly thawed immature testicular tissue (group 3), and slowly thawed immature testicular tissue (group 4). Transcriptomic differences were assessed using differentially expressed genes (DEG), the Kyoto Encyclopedia of Genes and Genomes (KEGG), gene ontology (GO), and protein-protein interaction (PPI) analyses. No fundamental differences in the quality of cells of mature and immature testicular tissue after cryopreservation were found. Generally, thawing of mature and immature testicular tissue was more effective at 100 °C. The greatest difference in the intensity of gene expression was observed in ribosomes of cells thawed at 100 °C in comparison with cells thawed at 37 °C. In conclusion, an elevated speed of thawing is beneficial for frozen testicular tissue.

Putative genes in alkaloid biosynthesis identified in Dendrobium officinale by correlating the contents of major bioactive metabolites with genes expression between Protocorm-like bodies and leaves.

BACKGROUND: Dendrobium officinale, an endangered Chinese herb, possesses extensive therapeutic effects and contains bioactive ingredients such as major polysaccharides, alkaloids, and minimal flavonoids. We first obtained the protocorm-like bodies (PLBs) of this plant through tissue culture in order to determine the distribution of the main secondary metabolites in each organelle and the PLBs. We then analyzed the correlation between gene expression level from comparative transcriptome sequencing and metabolite content in different organs to identify putative genes encoding enzymes involved in the biosynthesis of polysaccharides, alkaloids, and flavonoids. RESULTS: We used seeds as explants for protocorm induction and PLB propagation of D. officinale. The optimal medium formula for PLB propagation was 1/2 MS + α-NAA 0.5 mg·L- 1 + 6-BA 1.0 mg·L- 1 + 2, 4-D 1.5-2.0 mg·L- 1 + potato juice 100 g·L- 1. Stems, PLBs and leaves of D. officinale had the highest content of polysaccharides, alkaloids and flavonoids, respectively. Naringenin was only produced in stem; however, PLBs with high alkaloid content can replace other organs producing alkaloids. The hot water extraction method outperformed the ultrasound-assisted extraction method for extracting polysaccharides from D. officinale. A comparative transcriptome analysis of PLBs and leaves of D. officinale revealed differential expression of genes encoding enzymes involved in polysaccharide, alkaloid and flavonoid biosynthetic pathways. Putative genes encoding enzymes involved in these biosynthetic pathways were identified. Notably, we identified genes encoding the alkaloid biosynthesis enzymes strictosidine ß-D-Glucosidase, geissoschizine synthase and vinorine synthase in D. officinale. CONCLUSIONS: The identification of candidate genes encoding enzymes involved in metabolite biosynthesis will help to explore and protect this endangered species and facilitate further analysis of the molecular mechanism of secondary metabolite biosynthesis in D. officinale.

Sexual life and medication taking behaviours in young men: An online survey of 92 620 respondents in China.

OBJECTIVES: To assess sexual life and medication taking behaviours in young Chinese men. METHODS: An online survey was conducted across China between January 2017 and April 2017. Among the participants, men aged 19-40 years were included in the analysis. The respondents filled in the online questionnaire assessing sexual life and medication taking behaviours by themselves, including general information, cognition of erectile dysfunction (ED) and treatment-related questions. Erection hardness score (EHS) was used to measure the erection hardness status. RESULTS: Among the young respondents, 20.54% had grade I-II EHS, 58.14% searched the internet for online ED-related information, 26.49% took an ED medication and 50.89% took an ED medication without the advice of a physician or pharmacist. The respondents who took medication had less sexual intercourse per week (P < .001) and worse EHS (P < .001), and were more willing to seek information from physicians, pharmacists, friends and relatives instead of online sources (P < .001), compared with those not taking medication. The most common comorbidities in patients with grade I-II EHS were hyperlipidaemia, cardiovascular disease (CVD), prostate diseases and diabetes mellitus. CONCLUSION: About 20% of young Chinese men needed further assessment for ED. The majority of respondents obtained ED-related information by online search and took an ED medication without professional advice. These data could help clinicians understand the current status of sexual life and medication taking behaviours of young Chinese men.

Suppression of Dendrites by a Self-Healing Elastic Interface in a Sodium Metal Battery.

The safety issues caused by sodium dendrites limit the widespread application of sodium metal batteries. Herein, a self-healing polymer electrolyte (SPE) is prepared by immersing the self-healing polymer in a liquid electrolyte. Benefiting from the self-healing properties, elastic interface, and dense nonporous structure of the SPE, the fabricated NaK|MC SPE|NaK symmetric battery presents a long battery life (∼590 h) and low polarization voltage (192 mV). Moreover, the PTCDA|MC SPE|NaK full cell also delivers stable long cycles and outstanding rate performance.

Loss of histone reader Phf7 leads to immune pathways activation via endogenous retroviruses during spermiogenesis.

Genetic studies have elucidated the critical roles of Phf7 in germline development in animals; however, the exact etiology of Phf7 mutations leading to male infertility and the possibility of mechanism-based therapy are still unclear and warrant further investigation. Using the Phf7 knockout mouse model, we verified that genetic defects were responsible for male infertility by preventing histone-to-protamine exchange, as previously reported. The deficiency of spermatogenesis caused by Phf7 deletion through the endogenous retrovirus-mediated activation of the immune pathway is a common mechanism of infertility. Furthermore, we identified PPARα as a promising target of immunity and inflammation in the testis, where endogenous retroviruses are suppressed, and Phf7 as a crucial regulator of endogenous retrovirus-mediated immune regulation and revealed its role as an epigenetic reader. The loss of Phf7 activates immune pathways, which can be rescued by the PPARα agonist astaxanthin. These results showed that astaxanthin is a potential therapeutic agent for treating male infertility. The findings in our study provide insights into the molecular mechanisms underlying male infertility and suggest potential targets for future research and therapeutic development.

A self-healing electrocatalytic system via electrohydrodynamics induced evolution in liquid metal.

Catalytic deterioration during electrocatalytic processes is inevitable for conventional composite electrodes, which are prepared by depositing catalysts onto a rigid current collector. In contrast, metals that are liquid at near room temperature, liquid metals (LMs), are potential electrodes that are uniquely flexible and maneuverable, and whose fluidity may allow them to be more adaptive than rigid substrates. Here we demonstrate a self-healing electrocatalytic system for CO2 electroreduction using bismuth-containing Ga-based LM electrodes. Bi2O3 dispersed in the LM matrix experiences a series of electrohydrodynamic-induced structural changes when exposed to a tunable potential and finally transforms into catalytic bismuth, whose morphology can be controlled by the applied potential. The electrohydrodynamically-induced evolved electrode shows considerable electrocatalytic activity for CO2 reduction to formate. After deterioration of the electrocatalytic performance, the catalyst can be healed via simple mechanical stirring followed by in situ regeneration by applying a reducing potential. With this procedure, the electrode's original structure and catalytic activity are both recovered.

Comparative proteomics reveals biochemical changes in Salvia miltiorrhiza Bunge during sweating processing.

ETHNOPHARMACOLOGICAL RELEVANCE: Salvia miltiorrhiza Bunge is a bulk medicinal material used in traditional Chinese medicine, that can cure cardiovascular diseases, neurasthenia, and other conditions. Sweating is a frequently used method of processing S. miltiorrhiza for medical applications. We previously demonstrated changes to the metabolic profile of linoleic acid, glyoxylate, and dicarboxylate after Sweating. However, this alteration has not been explained at the molecular level. MATERIALS AND METHODS: Fresh roots of Salvia miltiorrhiza Bunge were treated by the Sweating processing, and then the tandem mass tag technique was used to compare the proteome difference between Sweating S. miltiorrhiza and non-Sweating S. miltiorrhiza. RESULTS: We identified a total of 850 differentially expressed proteins after Sweating treatment in S. miltiorrhiza, including 529 upregulated proteins and 321 downregulated proteins. GO enrichment analysis indicated that these differentially expressed proteins are involved in external encapsulating structure, cell wall, oxidoreductase activity, ligase activity, and others. Further analysis showed that CYP450, the pathogenesis-related protein Bet v 1 family, and the peroxidase domain were the major protein domains. KEGG enrichment identified 18 pathways, of which phenylpropanoid biosynthesis is the most important one related to the metabolite profile and is the principal chemical component of S. miltiorrhiza. CONCLUSION: This study addressed potential molecular mechanisms in S. miltiorrhiza after Sweating, and the findings provide reasons for the changes in biochemical properties and metabolites changes which might cause pharmacological variation at the proteome level.

A candidate gene identified in converting platycoside E to platycodin D from Platycodon grandiflorus by transcriptome and main metabolites analysis.

Platycodin D and platycoside E are two triterpenoid saponins in Platycodon grandiflorus, differing only by two glycosyl groups structurally. Studies have shown ß-Glucosidase from bacteria can convert platycoside E to platycodin D, indicating the potential existence of similar enzymes in P. grandiflorus. An L9(34) orthogonal experiment was performed to establish a protocol for calli induction as follows: the optimal explant is stems with nodes and the optimum medium formula is MS + NAA 1.0 mg/L + 6-BA 0.5 mg/L to obtain callus for experimental use. The platycodin D, platycoside E and total polysaccharides content between callus and plant organs varied wildly. Platycodin D and total polysaccharide content of calli was found higher than that of leaves. While, platycoside E and total polysaccharide content of calli was found lower than that of leaves. Associating platycodin D and platycoside E content with the expression level of genes involved in triterpenoid saponin biosynthesis between calli and leaves, three contigs were screened as putative sequences of ß-Glucosidase gene converting platycoside E to platycodin D. Besides, we inferred that some transcription factors can regulate the expression of key enzymes involved in triterpernoid saponins and polysaccharides biosynthesis pathway of P. grandiflorus. Totally, a candidate gene encoding enzyme involved in converting platycoside E to platycodin D, and putative genes involved in polysaccharide synthesis in P. grandiflorus had been identified. This study will help uncover the molecular mechanism of triterpenoid saponins biosynthesis in P. grandiflorus.

UPLC/MS-based untargeted metabolomics reveals the changes of metabolites profile of Salvia miltiorrhiza bunge during Sweating processing.

Salvia miltiorrhiza has numerous compounds with extensive clinical application. "Sweating", a processing method of Traditional Chinese Medicine (TCM), results in great changes in pharmacology and pharmacodynamics. Previously, chromatogram of 10 characteristic metabolites in S. miltiorrhiza showed a significant difference after "Sweating". Due to the complexity of TCM, changes in metabolites should be investigated metabolome-wide after "Sweating". An untargeted UPLC/MS-based metabolomics was performed to discover metabolites profile variation of S. miltiorrhiza after "Sweating". Multivariate analysis was conducted to screen differential metabolites. Analysis indicated distinct differences between sweated and non-sweated samples. 10,108 substance peaks had been detected altogether, and 4759 metabolites had been identified from negative and positive ion model. 287 differential metabolites were screened including 112 up-regulated and 175 down-regulated and they belong to lipids and lipid-like molecules, and phenylpropanoid and polyketides. KEGG analysis showed the pathway of linoleic acid metabolism, and glyoxylate and dicarboxylate metabolism were mainly enriched. 31 and 49 identified metabolites were exclusively detected in SSM and NSSM, respectively, which mainly belong to carboxylic acids and derivatives, polyketides and fatty acyls. By mapping tanshinones and salvianolic acids to 4759 identified metabolites library, 23 characteristic metabolites had been identified, among which 11 metabolites changed most. We conclude that "Sweating'' has significant effect on metabolites content and composition of S. miltiorrhiza.

Synchronous Healing of Li Metal Anode via Asymmetrical Bidirectional Current.

The creation of Li metal anodes while minimizing dendrite growth is an important challenge for developing high-energy density batteries. Dendrites can originate from an inhomogeneous charge distribution or an irregular substrate, and often, the way to suppress dendrite growth is to avoid their formation altogether (ion-uniform mechanism over a shelf time). Herein, we propose a different route to eliminate dendrite formation, called an asymmetrical bidirectional current mode (ABCM) of charging, leading to a healable Li metal anode and resulting in a positive feedback cycle. This mode allows for a stable cyclic performance and suppresses dendrite formation effectively (while holding the polarization ∼27 mV for over 1,000 h), and provides a better result than suppressing Li dendrites via weakening of the Li dendrite (ion-uniform mechanism). These results indicate that ABCM may be a promising way to stabilize the Li anode of Li metal batteries, without any chemical/physical modification of the anode.

Does forcing reduce faking? A meta-analytic review of forced-choice personality measures in high-stakes situations.

Forced-choice (FC) is a popular format for developing personality measures, where individuals must choose 1 or multiple statements from several options. Although FC measures have been proposed to reduce score inflation in high-stakes assessments, inconsistent results have been found in empirical studies regarding their effectiveness. In this study, we conducted a meta-analysis of studies comparing FC personality measure scores between low-stakes and (both simulated and actual) high-stakes situations. Results suggest that the overall score inflation effect size for FC personality measures is 0.06. In selection scenarios, score inflation for FC scales is much lower than the meta-analytic effect size for single-statement personality measures across most personality facets. The score inflation effect size was also found to vary across FC scale characteristics and study design factors. Specifically, FC scales were consistently found to be more faking-resistant when constructed with statements balanced in social desirability and with responses scored via a normative approach. FC scales constructed with the PICK format were also found to be faking-resistant, while more applicant-incumbent studies are needed to examine the fakability of MOLE FC scales. Evidence at the overall level supports the use of multidimensional scales and extremity balance of statements, but results are not consistent across personality facets, or when large samples are excluded. Personality facets of high relevance to the target job were found to exhibit larger inflation than facets of low relevance to the target job. Practical guidance on constructing and using FC personality measures for personnel selection purposes is provided. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

A Monte Carlo Study of an Iterative Wald Test Procedure for DIF Analysis.

This study examined the performance of a proposed iterative Wald approach for detecting differential item functioning (DIF) between two groups when preknowledge of anchor items is absent. The iterative approach utilizes the Wald-2 approach to identify anchor items and then iteratively tests for DIF items with the Wald-1 approach. Monte Carlo simulation was conducted across several conditions including the number of response options, test length, sample size, percentage of DIF items, DIF effect size, and type of cumulative DIF. Results indicated that the iterative approach performed well for polytomous data in all conditions, with well-controlled Type I error rates and high power. For dichotomous data, the iterative approach also exhibited better control over Type I error rates than the Wald-2 approach without sacrificing the power in detecting DIF. However, inflated Type I error rates were found for the iterative approach in conditions with dichotomous data, noncompensatory DIF, large percentage of DIF items, and medium to large DIF effect sizes. Nevertheless, the Type I error rates were substantially less inflated in those conditions compared with the Wald-2 approach.

The factor structure of the Values in Action Inventory of Strengths (VIA-IS): An item-level exploratory structural equation modeling (ESEM) bifactor analysis.

The factor structure of the Values in Action Inventory of Strengths (VIA-IS; Peterson & Seligman, 2004) has not been well established as a result of methodological challenges primarily attributable to a global positivity factor, item cross-loading across character strengths, and questions concerning the unidimensionality of the scales assessing character strengths. We sought to overcome these methodological challenges by applying exploratory structural equation modeling (ESEM) at the item level using a bifactor analytic approach to a large sample of 447,573 participants who completed the VIA-IS with all 240 character strengths items and a reduced set of 107 unidimensional character strength items. It was found that a 6-factor bifactor structure generally held for the reduced set of unidimensional character strength items; these dimensions were justice, temperance, courage, wisdom, transcendence, humanity, and an overarching general factor that is best described as dispositional positivity. (PsycINFO Database Record

An investigation of emotional intelligence measures using item response theory.

This study investigated the psychometric properties of 3 frequently administered emotional intelligence (EI) scales (Wong and Law Emotional Intelligence Scale [WLEIS], Schutte Self-Report Emotional Intelligence Test [SEIT], and Trait Emotional Intelligence Questionnaire [TEIQue]), which were developed on the basis of different theoretical frameworks (i.e., ability EI and mixed EI). By conducting item response theory (IRT) analyses, the authors examined the item parameters and compared the fits of 2 response process models (i.e., dominance model and ideal point model) for these scales with data from 355 undergraduate sample recruited from the subject pool. Several important findings were obtained. First, the EI scales seem better able to differentiate individuals at low trait levels than high trait levels. Second, a dominance model showed better model fit to the self-report ability EI scale (WLEIS) and also fit better with most subfactors of the SEIT, except for the mood regulation/optimism factor. Both dominance and ideal point models fit a self-report mixed EI scale (TEIQue). Our findings suggest (a) the EI scales should be revised to include more items at moderate and higher trait levels; and (b) the nature of the EI construct should be considered during the process of scale development.