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This chapter reviews the current evidence for sex differences in neural function underlying inhibitory control. Specifically, the chapter focuses on sex differences in functional magnetic resonance imaging (fMRI) measures of brain engagement during response inhibition on stop signal and go/no-go tasks. Sex differences appear to exist in these measures, but the direction of effect depends on the population studied, the task used, and whether successful or unsuccessful inhibition is examined. For successful inhibition, healthy men typically show greater brain engagement in right frontal regions typically implicated in inhibitory control (e.g., inferior frontal gyrus and supplementary motor area) than women, especially when performing the stop signal task. see more However, in younger populations or when controlling for the effects of age, women tend to show greater brain engagement than men, especially when performing the go/no-go task. For unsuccessful inhibition, women tend to show greater brain engagement compared to men in the anterior cingulate cortex and thalamus. Taken together, findings suggest that sex differences in neural responses to response inhibition depend on the specific type of inhibition studied and on whether the inhibition is successful or unsuccessful. Men exhibit greater response during successful inhibition, whereas women consistently display greater neural responses during unsuccessful inhibition. The chapter highlights limitations and gaps in this research to date, including a lack of consideration of the role of sex hormones and menstrual cycle phase, and suggests future directions for this line of research.Objective This study decomposes race and ethnic differences in hypertension, waist circumference, obesity and allostatic load between black non-Hispanic (BNH), Mexican American (MA), and white non-Hispanic (WNH) women. Data This study uses 10,109 observations from The National Health and Nutrition Examination Survey from years 1999-2014 for BNH, MA women, and WNH between 40 and 75 years old. Methodology We used the Oaxaca-Blinder decomposition to explore how demographic, socioeconomic, healthcare access, and health behavior factors are associated with race and ethnic differences in blood pressure, waist circumference, body mass index (BMI), and allostatic load score (ALS). Results We found that demographic factors, socioeconomic status, healthcare access, and health behaviors explained from 0 to 50% of the difference in CVD risk factors between BNH and WNH. However, these factors explain from 39 to 100% of the difference in CVD risk factors between MA and WNH. Differences in demographic, socioeconomic, access to care, and health behavior factor variables explained very little of the differences in CVD risk factors between NHB and MA women. Conclusion The impact of the determinants on CVD risk factors varies by race and ethnicity. Efforts to address differences in CVD risk factors should promote health equity programs and acknowledge that even race and ethnic groups that have similar demographic, SES, access to care, and health behavior factors can have different outcomes.This study aimed to elucidate the influential parameter, acquired from the analyses of nasal capnography waveforms, for the elevated plasma brain natriuretic peptide (BNP) levels in patients (n = 34) with heart failure (HF). The capnography waveforms were analyzed to evaluate changes in end-tidal CO2 (ETCO2) values and expiratory and inspiratory durations. The relationship between these parameters, estimated from capnography analyses and plasma BNP, was then evaluated. Mean ETCO2 values and BNP levels showed a strong negative correlation (R2 = 0.6355, p less then 0.0001) in HF patients with chronic kidney disease (CKD) (R2 = 0.6355, p less then 0.0001). The ETCO2 value was the most influential parameter that indicated elevated BNP levels in HF patients with CKD (β = - 0.577; p = 0.031). The mean ETCO2 level could be a potentially influential parameter reflecting elevated BNP levels in HF patients, especially in HF patients with CKD. Respiratory parameters, acquired from detailed nasal capnography analyses, might be reasonable for evaluating the severity of HF. Graphical abstract.Pancreatic cystic lesions (PCLs) have been increasingly identified over the past 2 decades due to the widespread use of high-resolution non-invasive abdominal imaging. They cover a vast spectrum, from benign to malignant and invasive lesions, thus they constitute a significant clinical entity. Among PCLs, mucin-producing lesions are those at risk of progression to malignancy. They include mucinous cystic neoplasms (MCN) and intraductal papillary mucinous neoplasms (IPMN). The diagnosis and management of these cystic lesions are a dilemma since there is a significant overlap in the morphology of benign and premalignant lesions. At the moment, there is no single test that will allow a correct diagnosis in all cases. Magnetic resonance (MR) and endoscopic ultrasound (EUS) morphology, with cyst fluid analysis and cytohistology done with EUS-guided procedure are the best techniques that can narrow the differential diagnosis and identify potentially malignant lesions requiring resection from those requiring follow-up only. The purpose of this paper is to present an updated review of MR imaging findings of mucinous PCLs and to provide a new morphological approach that can serve as a practical guide for the diagnosis of these lesions, allowing a more confident characterization and avoiding relevant misdiagnosis. Furthermore, we provide some information about EUS and cystic fluid analysis and cytohistology, since they are diagnostic modalities that radiologists and surgeons should be familiar with.Purpose Lung adenocarcinoma (LUAD) is the predominant subtype of lung cancer, with increasing evidence showing clinical benefits of immunotherapy. However, a lack of integrated profiles of complex LUAD immune microenvironments hampers the application of immunotherapy, resulting in limited eligible patient populations as well as drug resistance problems. Here, we aimed to systematically profile the immune signatures of LUADs and to assess the role of the immune microenvironment in patient outcome. Methods We systematically profiled the immune signatures of LUADs deposited in the TCGA and GEO databases using a total of 730 immune-related genes. Differential expression analysis was used to identify dysregulated genes. Univariate Cox analysis followed by robust likelihood-based survival analysis and multivariate Cox analysis were applied to construct an immune-related prognostic model. Results We found that differentially expressed immune genes were mainly enriched in immune cell proliferation, migration, activation and the NF-κB and TNF signaling pathways.