Interoception Primes Emotional Processing: Multimodal Evidence from Neurodegeneration

Recent frameworks in cognitive neuroscience and behavioral neurology underscore interoceptive priors as core modulators of negative emotions. However, the field lacks experimental designs manipulating the priming of emotions via interoception and exploring their multimodal signatures in neurodegenerative models. Here, we designed a novel task that involves interoceptive and control-exteroceptive priming conditions followed by post-interoception and post-exteroception facial emotion recognition (FER). We recruited 114 participants, including healthy controls (HCs) as well as patients with behavioral variant frontotemporal dementia (bvFTD), Parkinson''s disease (PD), and Alzheimer''s disease (AD). We measured online EEG modulations of the heart-evoked potential (HEP), and associations with both brain structural and resting-state functional connectivity patterns. Behaviorally, post-interoception negative FER was enhanced in HCs but selectively disrupted in bvFTD and PD, with AD presenting generalized disruptions across emotion types. Only bvFTD presented impaired interoceptive accuracy. Increased HEP modulations during post-interoception negative FER was observed in HCs and AD, but not in bvFTD or PD patients. Across all groups, post-interoception negative FER correlated with the volume of the insula and the ACC. Also, negative FER was associated with functional connectivity along the (a) salience network in the post-interoception condition, and along the (b) executive network in the post-exteroception condition. These patterns were selectively disrupted in bvFTD (a) and PD (b), respectively. Our approach underscores the multidimensional impact of interoception on emotion, while revealing a specific pathophysiological marker of bvFTD. These findings inform a promising theoretical and clinical agenda in the fields of nteroception, emotion, allostasis, and neurodegeneration.SIGNIFICANCE STATEMENT We examined whether and how emotions are primed by interoceptive states combining multimodal measures in healthy controls and neurodegenerative models. In controls, negative emotion recognition and ongoing HEP modulations were increased after interoception. These patterns were selectively disrupted in patients with atrophy across key interoceptive-emotional regions (e.g., the insula and the cingulate in frontotemporal dementia, frontostriatal networks in Parkinson''s disease), whereas persons with Alzheimer''s disease presented generalized emotional processing abnormalities with preserved interoceptive mechanisms. The integration of both domains was associated with the volume and connectivity (salience network) of canonical interoceptive-emotional hubs, critically involving the insula and the anterior cingulate. Our study reveals multimodal markers of interoceptive-emotional priming, laying the groundwork for new agendas in cognitive neuroscience and behavioral neurology.     

Assessing racial differences in lifetime and current smoking status & menthol consumption among Latinos in a nationally representative sample

ABSTRACT

Objective: To examine the relationship between race and smoking behaviors among Latinos/Hispanics.

Design: Using data from the National Adult Tobacco Survey (NATS), we implemented Log-Poisson regression models for each dependent variable (smoking pattern and menthol cigarette use). Each analysis adjusted for age, gender, marital status, employment status, and socioeconomic status (SES). Final pooled cross-sectional sample included 505 Black-Latinos and 9078 White-Latinos.

Results: While no racial differences were found in lifetime smoking status among Latinos, Black-Latinos had a 16.6% (95% CI: 0.274, 0.057) increased risk of menthol smoking compared to White-Latinos.

Conclusions: The results indicate that menthol consumption is influenced by race among Hispanics/Latinos. To comprehensively address racial disparities among Latinos/Hispanics, further attention needs to be given to racial differences in smoking-related risks among Latinos/Hispanics.     

CBR1 rs9024 genotype status impacts the bioactivation of loxoprofen in human liver

Loxoprofen is an anti‐inflammatory drug that requires bioactivation into the trans‐OH metabolite to exert pharmacological activity. Evidence suggests that carbonyl reductase 1 (CBR1) is important during the bioactivation of loxoprofen. This study examined the impact of the functional single nucleotide polymorphism CBR1 rs9024 on the bioactivation of loxoprofen in a collection of human liver samples. The synthesis ratios of trans‐OH loxoprofen/cis‐OH loxoprofen were 33% higher in liver cytosols from donors homozygous for the CBR1 rs9024 G allele in comparison with the ratios in samples from donors with heterozygous GA genotypes. Complementary studies examined the impact of CBR1 rs9024 on the bioactivation of loxoprofen in lymphoblastoid cell lines. CBR1 rs9024 genotype status impacts the synthesis of the bioactive trans‐OH metabolite of loxoprofen in human liver.     

Short‐term effects of heat and cold on respiratory drug use. A time‐series epidemiological study in A Coruña,Spain

The consumption of medication, especially over‐the‐counter drugs, can reflect environmental exposure with a lesser degree of severity in terms of morbidity. The non‐linear effects of maximum and minimum apparent temperature on respiratory drug sales in A Coruña from 2006 to 2010 were examined using a distributed lag nonlinear model. In particular, low apparent temperatures proved to be associated with increased sales of respiratory drugs. The strongest consistent risk estimates were found for minimum apparent temperatures in respiratory drug sales with an increase of 33.4% (95% CI, 12.5%‐58.0%) when the temperature changed from 2.8°C to ?1.4 °C. These findings may serve to guide the planning of public health interventions to predict and manage the health effects of exposure to the thermal environment for lower degrees of morbidity. More precisely, significant increases in the use of measured over‐the‐counter medication could be used to identify and anticipate influenza outbreaks due to a more sensitive degree of the data source.