Obesity and asthma prevalence has dramatically and concomitantly increased over the last 25 years, and many epidemiological studies have highlighted obesity as an important risk factor for asthma. Although many studies have been performed, the underlying mechanisms remain poorly understood. Innate mechanisms have been involved in both diseases, in particular through the recently described innate lymphoid cells (ILCs). ILCs are subdivided into three groups that are defined by their cytokine production and by their master transcription factor expression, in sharp correlation with their T helper counterparts. However, unlike T helper cells, ILCs do not express antigen-specific receptors, but respond to damage-induced signals. ILCs have been found in target tissues of both diseases, and data have implicated these cells in the pathogenesis of both diseases. In particular group 2 ILCs (ILC2) are activated in both the adipose and lung tissues under the effect of interleukin-33 and interleukin-25 expression. However, counter-intuitively to the well-known association between obesity and asthma, ILC2 are beneficial for obesity but deleterious for asthma. This review will examine the roles of ILCs in each disease and recent data highlighting ILCs as a putative link between obesity and asthma.
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http://dx.doi.org/10.1111/imm.12832 | DOI Listing |
J Family Med Prim Care
December 2024
National Center for Immunizations and Respiratory Diseases, US Centers for Disease Control and Prevention, USA.
Introduction: While various demographic factors and underlying medical conditions are associated with the development of post-COVID conditions within a month after SARS-CoV-2 infection, less is known about factors associated with post-COVID symptoms that persist for 6 months or more. The aim of this review was to determine the association between underlying conditions, other risk factors, health behaviors, and the presence of symptoms ≥6 months after COVID-19.
Methods: Studies reporting on post-COVID symptoms were searched in databases, including Medline, EMBASE, Global Health, PsycInfo, Scopus, CINAHL, Proquest, and WHO COVID-19 literature, from the beginning of the pandemic until November 2022.
Alzheimers Dement
December 2024
Wake Forest University School of Medicine, Winston-Salem, NC, USA.
Background: Blood-based biomarkers of Alzheimer's Disease (AD) are ideally suited for use at the population level for screening, diagnosis, and for serial assessments to track disease progression. However, a number of critical knowledge gaps remain. Importantly, 1) these biomarkers have not been sufficiently examined in longitudinal studies of older community-based populations without diagnosed dementia; and 2) it is unclear how participant characteristics such as sociodemographic characteristics and chronic conditions affect the clinical interpretation of these biomarkers.
View Article and Find Full Text PDFThe impact of diet-induced maternal obesity on offspring airway hyperresponsiveness was studied in a diversity outbred mouse model that mirrors human genetic diversity. Female mice were started on high-fat or regular diet 8 weeks before breeding and throughout pregnancy and lactation. After weaning, all offspring were fed a regular diet.
View Article and Find Full Text PDFDig Dis Sci
January 2025
Division of Gastroenterology and Hepatology, Mayo Clinic, 4500 San Pablo Rd, Jacksonville, FL, USA.
Background: Eosinophilic esophagitis (EoE) is an increasingly common cause of food impaction.
Aims: This study aims to provide a nationwide analysis of food impaction in patients with or without EoE diagnosis, concentrating on patient demographics, interventions, outcomes, and development of predictive machine-learning models.
Methods: A retrospective assessment was conducted using Nationwide Emergency Department Sample data from January 1, 2018, to December 31, 2019.
Surg Neurol Int
December 2024
Department of Medicine, University of Hawai'i at Mānoa, John A. Burns School of Medicine, Honolulu, Hawaii, USA.
Background: One avenue to improve outcomes among brain tumor patients involves the mitigation of healthcare disparities. Investigating clinical differences among brain tumors across socioeconomic and demographic strata, such can aid in healthcare disparity identification and, by extension, outcome improvement.
Methods: Utilizing a racially diverse population from Hawaii, 323 cases of brain tumors (meningiomas, gliomas, schwannomas, pituitary adenomas, and metastases) were matched by age, sex, and race to 651 controls to investigate the associations between tumor type and various demographic, socioeconomic, and medical comorbidities.
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