Objectives: The roles of intragastric pressure (IGP), intraesophageal pressure (IEP), gastroesophageal pressure gradient (GEPG), and body mass index (BMI) in the pathophysiology of gastroesophageal reflux disease (GERD) and hiatal hernia (HH) are only partly understood.
Methods: In total, 149 GERD patients underwent stationary esophageal manometry, 24-h pH-metry, and endoscopy.
Results: One hundred three patients had HH. Linear regression analysis showed that each kilogram per square meter of BMI caused a 0.047-kPa increase in inspiratory IGP (95% confidence interval [CI] 0.026-0.067) and a 0.031-kPa increase in inspiratory GEPG (95% CI 0.007-0.055). Each kilogram per square meter of BMI caused expiratory IGP to increase with 0.043 kPa (95% CI 0.025-0.060) and expiratory IEP with 0.052 kPa (95% CI 0.027-0.077). Each added year of age caused inspiratory IEP to decrease by 0.008 kPa (95% CI -0.015-0.001) and inspiratory GEPG to increase by 0.008 kPa (95% CI 0.000-0.015). In binary logistic regression analysis, HH was predicted by inspiratory and expiratory IGP (odds ratio [OR] 2.93 and 2.62, respectively), inspiratory and expiratory GEPG (OR 3.19 and 2.68, respectively), and BMI (OR 1.72/5 kg/m(2)). In linear regression analysis, HH caused an average 5.09% increase in supine acid exposure (95% CI 0.96-9.22) and an average 3.46% increase in total acid exposure (95% CI 0.82-6.09). Each added year of age caused an average 0.10% increase in upright acid exposure and a 0.09% increase in total acid exposure (95% CI 0.00-0.20 and 0.00-0.18).
Conclusions: BMI predicts IGP, inspiratory GEPG, and expiratory IEP. Age predicts inspiratory IEP and GEPG. Presence of HH is predicted by IGP, GEPG, and BMI. GEPG is not associated with acid exposure.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1111/j.1572-0241.2008.01909.x | DOI Listing |
Food Environ Virol
January 2025
Ōmura Satoshi Memorial Institute, Kitasato University, 5-9-1 Shirokane, Minato-Ku, Tokyo, 108-8641, Japan.
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and influenza A virus are primarily transmitted through droplets or aerosols from patients. The inactivation effects of existing virus control techniques may vary depending on the environmental factors. Therefore, it is important to establish a suitable evaluation system for assessing virus control techniques against airborne viruses for further real-world implementation.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Vanderbilt University Medical Center, Nashville, TN, USA.
Background: Manganese (Mn) is an essential metal that serves as a cofactor for metalloenzymes important in moderating the glutamate/glutamine cycle and other oxidative stress pathways. Typically, Mn is acquired through the diet, however, Mn overexposure can arise through drinking inadequately treated well water or inhalation of Mn-containing industrial byproducts. Mn toxicity disrupts dopaminergic neurotransmission resulting in a Parkinsonian disorder referred to as manganism.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Isakson Center for Neurological Disease Research, College of Veterinary Medicine, University of Georgia, Athens, GA, USA.
Background: The Apolipoprotein-E (APOE) ε4 gene variant is the strongest genetic risk factor for late-onset Alzheimer's Disease, but is not entirely predictive. Emerging evidence suggests environmental factors contribute to disease etiology, with epidemiological studies associating pesticide exposure with lower cognitive scores. Dichlorodiphenyltrichloroethane (DDT), a pesticide used extensively in the US until 1972, persists in trace amounts due to its long half-life, bioaccumulation, and existing dumpsites.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA.
Background: Single nucleus RNA sequencing (snRNA-seq) has revolutionized our ability to dissect transcriptional profiles in specific cell types. While nuclear sequencing enhances analysis robustness, it captures only 20-50% of the cellular transcriptional information, limiting our comprehensive understanding of the cellular transcriptional ensemble. Therefore, we propose a computational approach to extract the cellular signal from bulk transcriptomic data from brain tissue, allowing us to investigate cell type-specific transcriptomic programs underlying neurodegeneration.
View Article and Find Full Text PDFBackground: Many putative factors may contribute to the neurodegeneration seen in Alzheimer's Disease (AD), including the build-up of toxic amyloid-beta plaques and the aberrant reactivity of non-neuronal cell types such as astrocytes and microglia. However, the precise contribution of these factors to normal and disease states of neurons remains poorly defined.
Method: We employed in vitro rat neural co-culture models to determine how changes in cell interactions alter the transcriptional response of neural cell types to agents associated with neurodegeneration.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!