Background: Pathogenesis of chronic obstructive lung disease (COPD) includes primary inflammatory events, multiple vascular reactions, remodeling of bronchial and vascular walls.
Objective: The aim of present single-center study was to assess relations between angiotensin-converting enzyme (ACE) gene and prevalence of clinical symptoms characteristic to COPD.
Methods: The study involved sixty-three male patients with COPD (44-86 years old, a mean of 60.4 years). COPD diagnostics was performed according to common criteria, including evaluation of systolic pressure in pulmonary artery (SPPA) and endothelial disfunction (ED). Genotyping of ACE I/D was performed by means of gene-specific PCR.
Results: 1. Allele distribution of studied gene alleles among COPD patients did not differ from control age-matched group. 2. Detectable endothelial dysfunction in COPD patients was shown to correlate with high-producer D allele of ACE gene, at an odds ratio of 6.632 (CI = 1.67-26.31; chi2 = 8.39, p = 0.004). Moreover, detectable ED correlated with numbers of COPD exacerbations per year.
Conclusions: These findings suggest possible association of the functional ACE D allele with altered vascular responses that may modulate development of distinct COPD symptoms. The results are obtained in a limited clinical cohort, and deserve repeated trials in other groups of COPD patients.
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http://dx.doi.org/10.1016/j.rmed.2012.12.025 | DOI Listing |
Nat Hum Behav
January 2025
Department of Psychosomatics and Psychiatry, Zhongda Hospital, School of Medicine, Jiangsu Provincial Key Laboratory of Brain Science and Medicine, Advanced Institute for Life and Health, Southeast University, Nanjing, China.
Genome-wide association studies (GWASs) have reported multiple risk loci for schizophrenia (SCZ). However, the majority of the associations were from populations of European ancestry. Here we conducted a large-scale GWAS in Eastern Asian populations (29,519 cases and 44,392 controls) and identified ten Eastern Asian-specific risk loci, two of which have not been previously reported.
View Article and Find Full Text PDFSci Rep
January 2025
Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK.
Large-scale surveillance and informed vector control approaches are urgently needed to ensure that national malaria programs remain effective in reducing transmission and, ultimately, achieving malaria elimination targets. In South America, Anopheles darlingi is the primary malaria vector and is responsible for the majority of Plasmodium species transmission. However, little is known about the molecular markers associated with insecticide resistance in this species.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
Background: Angiotensin-converting enzyme (ACE) is a validated risk locus for developing late-onset Alzheimer's disease (LOAD). ACE1 controls blood pressure through the renin-angiotensin system (RAS), but it is also present and acts locally in the brain. Hypertension is associated with an increased risk for developing AD, and people taking select RAS-targeting therapeutics have reduced incidence of AD.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, The University of Texas Health Science Center at San Antonio, San Antonio, TX, USA.
Background: Oral and gut microbiomes have been associated with Alzheimer's disease and related dementias (ADRD). Although the role of the gut microbiome and gut dysbiosis in ADRD has been extensively studied, research on the oral microbiome is lacking. Moreover, the synergetic contribution of oral and gut microbiomes to ADRD is unexplored.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Cleveland Clinic Lou Ruvo Center for Brain Health, Cleveland, OH, USA.
Background: The emerging tools of protein-protein interactome network offer a platform to explore not only the molecular complexity of human diseases, but also to identify risk genes and drug targets. Integration of the genome, transcriptome, proteome, and the interactome networks are essential for such identification, including Alzheimer's disease (AD), Parkinson disease (PD), and Amyotrophic lateral sclerosis (ALS) METHOD: In this study, we performed multi-modal analyses of cross-species protein interactome networks and human brain functional genomics data to identify risk genes and drug targets for neurodegenerative diseases. We presented a multi-view topology-based deep learning framework to identify disease-associated genes for cross-species interactome (TAG-X).
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