Loneliness is detrimental to well-being and is often accompanied by self-reported feelings of not being understood by other people. What contributes to such feelings in lonely people? We used functional MRI of 66 first-year university students to unobtrusively measure the relative alignment of people's mental processing of naturalistic stimuli and tested whether lonely people actually process the world in idiosyncratic ways. We found evidence for such idiosyncrasy: Lonely individuals' neural responses were dissimilar to those of their peers, particularly in regions of the default-mode network in which similar responses have been associated with shared perspectives and subjective understanding. These relationships persisted when we controlled for demographic similarities, objective social isolation, and individuals' friendships with each other. Our findings raise the possibility that being surrounded by people who see the world differently from oneself, even if one is friends with them, may be a risk factor for loneliness.
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http://dx.doi.org/10.1177/09567976221145316 | DOI Listing |
PLoS One
January 2025
Department of Economics, University Carlos III, Getafe, Spain.
Climate change is a spatial and temporarily non-uniform phenomenon that requires understanding its evolution to better evaluate its potential societal and economic impact. The value added of this paper lies in introducing a quantitative methodology grounded in the trend analysis of temperature distribution quantiles to analyze climate change heterogeneity (CCH). By converting these quantiles into time series objects, the methodology empowers the definition and measurement of various relevant concepts in climate change analysis (warming, warming typology, warming amplification and warming acceleration) in a straightforward and robust testable linear regression format.
View Article and Find Full Text PDFToxicol Mech Methods
January 2025
Department of Pharmacology, SVKM's NMIMS School of Pharmacy and Technology Management, Babulde, Shirpur, 425405 Maharashtra, India.
Adverse drug reactions (ADR) remain a challenge in modern healthcare, particularly given the increasing complexity of therapeutics. WHO's definition of an adverse drug reaction as a response to a drug that is noxious and unintended and occurs at doses normally used in man for the prophylaxis, diagnosis or therapy of disease, or for modification of physiological function. This definition underscores the importance of monitoring and mitigating unintended drug effects, particularly for widely used medications like valproic acid (VPA).
View Article and Find Full Text PDFToxicology
January 2025
Deparment of clinical pharmacy, Jieyang People's Hospital, 522000, China. Electronic address:
Drug-induced autoimmunity (DIA) is a non-IgE immune-related adverse drug reaction that poses substantial challenges in predictive toxicology due to its idiosyncratic nature, complex pathogenesis, and diverse clinical manifestations. To address these challenges, we developed InterDIA, an interpretable machine learning framework for predicting DIA toxicity based on molecular physicochemical properties. Multi-strategy feature selection and advanced ensemble resampling approaches were integrated to enhance prediction accuracy and overcome data imbalance.
View Article and Find Full Text PDFJ Gerontol A Biol Sci Med Sci
January 2025
BIO@SNS, Scuola Normale Superiore, Piazza dei Cavalieri,7, Pisa, 56126, Italy.
The African turquoise killifish Nothobranchius furzeri represents an emerging short-lived model for aging research. Captive strains of this species are characterized by large differences in lifespan. To identify the gene expression correlates of this lifespan differences, we analyzed a public transcriptomic dataset consisting of four different tissues in addition to embryos.
View Article and Find Full Text PDFPLoS Biol
January 2025
Department of Biophysics, University of Michigan, Ann Arbor, Michigan, United States of America.
As failure rates for traditional antimicrobial therapies escalate, recent focus has shifted to evolution-based therapies to slow resistance. Collateral sensitivity-the increased susceptibility to one drug associated with evolved resistance to a different drug-offers a potentially exploitable evolutionary constraint, but the manner in which collateral effects emerge over time is not well understood. Here, we use laboratory evolution in the opportunistic pathogen Enterococcus faecalis to phenotypically characterize collateral profiles through evolutionary time.
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