Personality style and psychological reactance: Theory confirmation and empirical prediction of reactant personalities

Psychological reactance (reactance) is a construct that has begun to attract attention in the past few decades. Reactance is the tendency of a person to react in some way to protect personal freedoms from real or perceived threats (Brehm, 1966; Brehm & Brehm, 1981). Current theorizing and research suggest that reactance is a characteristic related to an interaction between the situation and transient variables such as perceptions of self or available alternatives (Brehm, 1976; Cherulnik & Citrin, 1974; Hannah, Hannah, & Wattie, 1976). Current research and theory indicates that psychological reactance is likely characterological in nature and is more of a characteristic of the person than of the situation (Brehm & Brehm, 1981; Buboltz, Woller, & Pepper, 1999; Dowd & Wallbrown, 1993; Dowd, Wallbrown, Sanders, & Yesenosky, 1994; Seemann, Buboltz, Thomas, Beatty, & Jenkins, 2001). This research has primarily involved trait-factor personality constructs, and only recently has personality style been investigated with respect to psychological reactance (Buboltz, Thomas, Williams, Seemann, Soper, & Woller, in press). The current study focused testing predictions from a theoretical model and from an empirical standpoint based on the existing body of knowledge regarding reactant behavior. A population of male, medium-security prison inmates was sampled. A modified version of the theoretical model of personality and psychological reactance proposed by Huck (1998) was tested with six formal hypotheses, and two hypotheses predicted specific MCMI-III personality scale elevations based on level of psychological reactance (high, moderate, or low). In addition, one hypothesis tested for differences in psychological reactance based on race, and another hypothesis tested the prediction that male prison inmates would demonstrate higher levels of psychological reactance than college students. Participants completed the Therapeutic Reactance Scale (TRS; Dowd, et al., 1991), the Millon Clinical Multiaxial Inventory-III (MCMI-III, Millon, et al., 1997), and a demographic data sheet. A total of 438 participants were retained in the current study. Hypotheses 1 and 2 were not supported, indicating that there is no significant difference in obtained TRS total scores between African-American and Caucasian inmates in the current sample, and that there is no significant difference in levels of psychological reactance between inmates in the current sample and an archive sample of college students. A stepwise multiple regression was conducted to test the theoretical predictions of hypotheses 3 through 8. R2 = .311 with an adjusted R 2 of .306; F (3, 434) = 65.233, p \u3c .001. Of the 14 MCMI-III scales entered into the regression, the aggressive ([sadistic], hereafter, aggressive) (β = .290, p \u3c .001), paranoid (β = .277, p \u3c .001), and borderline (β = .106, p \u3c .039) scales emerged as significant predictors, partially supporting hypothesis 5 and fully supporting hypotheses 7 and 8. Hypotheses 3 and 4 were not supported. A MANOVA was conducted to test hypotheses 9 and 10 with level of reactance as the independent variable. A priori comparisons found strong support for hypothesis 9; the passive-aggressive, aggressive, and antisocial personality styles demonstrated a positive relationship with psychological reactance, and the mean MCMI-III scores for these constructs are significantly different given the level of psychological reactance. Hypothesis 10 predicted a negative relationship between the dependent, avoidant, and schizoid personality styles; this hypothesis not only failed to find support, but the opposite results were obtained

Co-circulation of Multidrug-resistant Shigella Among Men Who Have Sex With Men in Australia.

BACKGROUND: In urban Australia, the burden of shigellosis is either in returning travelers from shigellosis-endemic regions or in men who have sex with men (MSM). Here, we combine genomic data with comprehensive epidemiological data on sexual exposure and travel to describe the spread of multidrug-resistant Shigella lineages. METHODS: A population-level study of all cultured Shigella isolates in the state of Victoria, Australia, was undertaken from 1 January 2016 through 31 March 2018. Antimicrobial susceptibility testing, whole-genome sequencing, and bioinformatic analyses of 545 Shigella isolates were performed at the Microbiological Diagnostic Unit Public Health Laboratory. Risk factor data on travel and sexual exposure were collected through enhanced surveillance forms or by interviews. RESULTS: Rates of antimicrobial resistance were high, with 17.6% (95/541) and 50.6% (274/541) resistance to ciprofloxacin and azithromycin, respectively. There were strong associations between antimicrobial resistance, phylogeny, and epidemiology. Specifically, 2 major MSM-associated lineages were identified: a Shigellasonnei lineage (n = 159) and a Shigella flexneri 2a lineage (n = 105). Of concern, 147/159 (92.4%) of isolates within the S. sonnei MSM-associated lineage harbored mutations associated with reduced susceptibility to recommended oral antimicrobials: namely, azithromycin, trimethoprim-sulfamethoxazole, and ciprofloxacin. Long-read sequencing demonstrated global dissemination of multidrug-resistant plasmids across Shigella species and lineages, but predominantly associated with MSM isolates. CONCLUSIONS: Our contemporary data highlight the ongoing public health threat posed by resistant Shigella, both in Australia and globally. Urgent multidisciplinary public health measures are required to interrupt transmission and prevent infection

Heteromeric clusters of ubiquitinated ER-shaping proteins drive ER-phagy

Membrane-shaping proteins characterized by reticulon homology domains play an important part in the dynamic remodelling of the endoplasmic reticulum (ER). An example of such a protein is FAM134B, which can bind LC3 proteins and mediate the degradation of ER sheets through selective autophagy (ER-phagy)1. Mutations in FAM134B result in a neurodegenerative disorder in humans that mainly affects sensory and autonomic neurons2. Here we report that ARL6IP1, another ER-shaping protein that contains a reticulon homology domain and is associated with sensory loss3, interacts with FAM134B and participates in the formation of heteromeric multi-protein clusters required for ER-phagy. Moreover, ubiquitination of ARL6IP1 promotes this process. Accordingly, disruption of Arl6ip1 in mice causes an expansion of ER sheets in sensory neurons that degenerate over time. Primary cells obtained from Arl6ip1-deficient mice or from patients display incomplete budding of ER membranes and severe impairment of ER-phagy flux. Therefore, we propose that the clustering of ubiquitinated ER-shaping proteins facilitates the dynamic remodelling of the ER during ER-phagy and is important for neuronal maintenance.</p

Bridging of Neisseria gonorrhoeae lineages across sexual networks in the HIV pre-exposure prophylaxis era

Whole genome sequencing (WGS) has been used to investigate transmission of Neisseria gonorrhoeae, but to date, most studies have not combined genomic data with detailed information on sexual behaviour to define the extent of transmission across population risk groups (bridging). Here, through combined epidemiological and genomic analysis of 2,186N. gonorrhoeae isolates from Australia, we show widespread transmission of N. gonorrhoeae within and between population groups. We describe distinct transmission clusters associated with men who have sex with men (MSM) and heterosexuals, and men who have sex with men and women (MSMW) are identified as a possible bridging population between these groups. Further, the study identifies transmission of N. gonorrhoeae between HIV-positive and HIV-negative individuals receiving pre-exposure prophylaxis (PrEP). Our data highlight several groups that can be targeted for interventions aimed at improving gonorrhoea control, including returning travellers, sex workers, and PrEP users.D.A.W. (GNT1123854), E.P.F.C. (GNT1091226), and J.C.K. (GNT1142613) are supported by Early Career Fellowships from the National Health and Medical Research Council (NHMRC) of Australia. B.P.H. is supported by a Practitioner Fellowship from the NHMRC (GNT1105905). D.J.I. is supported by the European Union’s Horizon 2020 research and innovation programme under grant agreement 643476. Work in this study was supported by a Project Grant from the NHMRC (GNT1147735) and a Partnership grant from the NHMRC (GNT1149991). MDU PHL is funded by the Victorian Department of Health and Human Services

Caveolin-1 dolines form a distinct and rapid caveolae-independent mechanoadaptation system.

In response to different types and intensities of mechanical force, cells modulate their physical properties and adapt their plasma membrane (PM). Caveolae are PM nano-invaginations that contribute to mechanoadaptation, buffering tension changes. However, whether core caveolar proteins contribute to PM tension accommodation independently from the caveolar assembly is unknown. Here we provide experimental and computational evidence supporting that caveolin-1 confers deformability and mechanoprotection independently from caveolae, through modulation of PM curvature. Freeze-fracture electron microscopy reveals that caveolin-1 stabilizes non-caveolar invaginations-dolines-capable of responding to low-medium mechanical forces, impacting downstream mechanotransduction and conferring mechanoprotection to cells devoid of caveolae. Upon cavin-1/PTRF binding, doline size is restricted and membrane buffering is limited to relatively high forces, capable of flattening caveolae. Thus, caveolae and dolines constitute two distinct albeit complementary components of a buffering system that allows cells to adapt efficiently to a broad range of mechanical stimuli.We thank R. Parton (Institute for Molecular Biosciences, Queensland), P. Pilch (Boston University School of Medicine) and L. Liu (Boston University School of Medicine) for kindly providing PTRFKO cells and reagents, S. Casas Tintó for kindly providing SH-Sy5y cells, P. Bassereau (Curie Institute, Paris) for kindly providing OT setup, V. Labrador Cantarero from CNIC microscopy Unit for helping with ImageJ analysis, O. Otto and M. Herbig for providing help with RTDC experiments, S. Berr and K. Gluth for technical assistance in cell culture, F. Steiniger for support in electron tomography, and A. Norczyk Simón for providing pCMV-FLAG-PTRF construct. This project received funding from the European Union Horizon 2020 Research and Innovation Programme through Marie Sklodowska-Curie grant 641639; grants from the Spanish Ministry of Science and Innovation (MCIN/AEI/10.13039/501100011033): SAF2014-51876-R, SAF2017-83130-R co-funded by ‘ERDF A way of making Europe’, PID2020-118658RB-I00, PDC2021-121572-100 co-funded by ‘European Union NextGenerationEU/PRTR’, CSD2009- 0016 and BFU2016-81912-REDC; and the Asociación Española Contra el Cáncer foundation (PROYE20089DELP) all to M.A.d.P. M.A.d.P. is member of the Tec4Bio consortium (ref. S2018/NMT¬4443; Comunidad Autónoma de Madrid/FEDER, Spain), co-recipient with P.R.-C. of grants from Fundació La Marató de TV3 (674/C/2013 and 201936- 30-31), and coordinator of a Health Research consortium grant from Fundación Obra Social La Caixa (AtheroConvergence, HR20-00075). M.S.-A. is recipient of a Ramón y Cajal research contract from MCIN (RYC2020-029690-I). The CNIC Unit of Microscopy and Dynamic Imaging is supported by FEDER ‘Una manera de hacer Europa’ (ReDIB ICTS infrastructure TRIMA@CNIC, MCIN). We acknowledge the support from Deutsche Forschungsgemeinschaft through grants to M.M.K. (KE685/7-1) and B.Q. (QU116/6-2 and QU116/9-1). Work in D.N. laboratory was supported by grants from the European Union Horizon 2020 Research and Innovation Programme through Marie Sklodowska-Curie grant 812772 and MCIN (DPI2017-83721-P). Work in C.L. laboratory was supported by grants from Curie, INSERM, CNRS, Agence Nationale de la Recherche (ANR-17-CE13-0020-01) and Fondation ARC pour la Recherche (PGA1-RF20170205456). Work in P.R.-C. lab is funded by the MCIN (PID2019-110298GB-I00), the EC (H20 20-FETPROACT-01-2016-731957). Work in X.T. lab is funded by the MICIN (PID2021-128635NB-I00), ERC (Adv-883739) and La Caixa Foundation (LCF/PR/HR20/52400004; co-recipient with P.R.-C.). IBEC is recipient of a Severo Ochoa Award of Excellence from the MINECO. The funders had no role in study design, data collection and analysis, decision to publish or preparation of the manuscript. The CNIC is supported by the Instituto de Salud Carlos III (ISCIII), the MCIN and the Pro CNIC Foundation, and is a Severo Ochoa Center of Excellence (grant CEX2020-001041-S funded by MICIN/AEI/10.13039/501100011033).S

The political geography of religious radicalism. A compendium of selected case studies from around the globe

Religion has neither gone away nor remained irrelevant in our world today. There is no day that we do not hear news about religion in the media. The news we hear about religion and violence, however, appears to dominate the headlines. Although the history of religions and violence is not a new one, since September 11, 2001 there has been a growing concern about religious extremism and terrorism. At the same time, there is a corresponding interest in the subject of religion and violence among many disciplines. In the course GEO-83 “Political Geography of Religious Radicalism”, we offered students an excursion into the ambivalent world of religion and conflict through an exploration of different theoretical perspectives and approaches, case studies, seminal and class discussions and extensive literature review. The unique angle of interrogation that political geography offers in terms of the spatial dimensions and the power relations between different actors as well as the discursive aspects of interreligious conflicts and extremism has proved very valuable in generating insights on this subject matter. This volume is an attempt by students of the M.A. “Human Geography – Global Studies” programme of the University of Tübingen to demonstrate acquaintance with the approach of political geography to the study of religious violence and extremism. The students took on some of the most challenging conflicts and religious insurgencies confronting the world and offered insights using diverse theoretical and analytical frameworks. The analysis contained in each chapter was based on secondary data. Thus, limitations are set based on the availability of and access to data. Given the contested nature of religious conflicts and extremism, the reader is invited to consider all the articles in this volume as primarily an academic exercise with no intention to promote a certain narrative or to take sides. Knowledge is always incremental. Therefore, what is presented here is intended to increase our understanding of the phenomenon and to stimulate further research and efforts at finding solutions to the various conflicts. No doubt, this exercise has exposed the students to the rigour of scientific writing. This experience will remain invaluable to them in their continuing academic pursuit as well as in their future endeavours. The lecturers also found this experience to be highly rewarding. The process was quite daunting, but the commitment and the dedication of the students paid off

RNAcentral 2021: secondary structure integration, improved sequence search and new member databases

RNAcentral is a comprehensive database of non-coding RNA (ncRNA) sequences that provides a single access point to 44 RNA resources and >18 million ncRNA sequences from a wide range of organisms and RNA types. RNAcentral now also includes secondary (2D) structure information for >13 million sequences, making RNAcentral the world's largest RNA 2D structure database. The 2D diagrams are displayed using R2DT, a new 2D structure visualization method that uses consistent, reproducible and recognizable layouts for related RNAs. The sequence similarity search has been updated with a faster interface featuring facets for filtering search results by RNA type, organism, source database or any keyword. This sequence search tool is available as a reusable web component, and has been integrated into several RNAcentral member databases, including Rfam, miRBase and snoDB. To allow for a more fine-grained assignment of RNA types and subtypes, all RNAcentral sequences have been annotated with Sequence Ontology terms. The RNAcentral database continues to grow and provide a central data resource for the RNA community

RNAcentral 2021: secondary structure integration, improved sequence search and new member databases.

RNAcentral is a comprehensive database of non-coding RNA (ncRNA) sequences that provides a single access point to 44 RNA resources and >18 million ncRNA sequences from a wide range of organisms and RNA types. RNAcentral now also includes secondary (2D) structure information for >13 million sequences, making RNAcentral the world's largest RNA 2D structure database. The 2D diagrams are displayed using R2DT, a new 2D structure visualization method that uses consistent, reproducible and recognizable layouts for related RNAs. The sequence similarity search has been updated with a faster interface featuring facets for filtering search results by RNA type, organism, source database or any keyword. This sequence search tool is available as a reusable web component, and has been integrated into several RNAcentral member databases, including Rfam, miRBase and snoDB. To allow for a more fine-grained assignment of RNA types and subtypes, all RNAcentral sequences have been annotated with Sequence Ontology terms. The RNAcentral database continues to grow and provide a central data resource for the RNA community. RNAcentral is freely available at https://rnacentral.org

RNAcentral : a hub of information for non-coding RNA sequences

RNAcentral is a comprehensive database of non-coding RNA (ncRNA) sequences, collating information on ncRNA sequences of all types from a broad range of organisms. We have recently added a new genome mapping pipeline that identifies genomic locations for ncRNA sequences in 296 species. We have also added several new types of functional annotations, such as tRNA secondary structures, Gene Ontology annotations, and miRNA-target interactions. A new quality control mechanism based on Rfam family assignments identifies potential contamination, incomplete sequences, and more. The RNAcentral database has become a vital component of many workflows in the RNA community, serving as both the primary source of sequence data for academic and commercial groups, as well as a source of stable accessions for the annotation of genomic and functional features. These examples are facilitated by an improved RNAcentral web interface, which features an updated genome browser, a new sequence feature viewer, and improved text search functionality. RNAcentral is freely available at https://rnacentral.org