Objective: A genome-wide association study (GWAS) in Pima Indians (n = 413) identified variation in the ataxin-2 binding protein 1 gene (A2BP1) that was associated with percent body fat. On the basis of this association and the obese phenotype of ataxin-2 knockout mice, A2BP1 was genetically and functionally analyzed to assess its potential role in human obesity.
Research Design And Methods: Variants spanning A2BP1 were genotyped in a population-based sample of 3,234 full-heritage Pima Indians, 2,843 of whom were not part of the initial GWAS study and therefore could serve as a sample to assess replication. Published GWAS data across A2BP1 were additionally analyzed in French adult (n = 1,426) and children case/control subjects (n = 1,392) (Meyre et al. Nat Genet 2009;41:157-159). Selected variants were genotyped in two additional samples of Caucasians (Amish, n = 1,149, and German children case/control subjects, n = 998) and one additional Native American (n = 2,531) sample. Small interfering RNA was used to knockdown A2bp1 message levels in mouse embryonic hypothalamus cells.
Results: No single variant in A2BP1 was reproducibly associated with obesity across the different populations. However, different variants within intron 1 of A2BP1 were associated with BMI in full-heritage Pima Indians (rs10500331, P = 1.9 × 10(-7)) and obesity in French Caucasian adult (rs4786847, P = 1.9 × 10(-10)) and children (rs8054147, P = 9.2 × 10(-6)) case/control subjects. Reduction of A2bp1 in mouse embryonic hypothalamus cells decreased expression of Atxn2, Insr, and Mc4r.
Conclusions: Association analysis suggests that variation in A2BP1 influences obesity, and functional studies suggest that A2BP1 could potentially affect adiposity via the hypothalamic MC4R pathway.
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http://dx.doi.org/10.2337/db09-1604 | DOI Listing |
Sci Rep
January 2025
Department of Computer Science, Faculty of Computers and Information, Suez University, P. O. Box 43221, Suez, Egypt.
Diabetes is a long-term condition characterized by elevated blood sugar levels. It can lead to a variety of complex disorders such as stroke, renal failure, and heart attack. Diabetes requires the most machine learning help to diagnose diabetes illness at an early stage, as it cannot be treated and adds significant complications to our health-care system.
View Article and Find Full Text PDFVaccine X
January 2025
Mel & Enid Zuckerman College of Public Health, University of Arizona, Tucson, United States of America.
Introduction: Vaccine hesitancy among marginalized populations particularly in the Hispanic community over the course of the COVID-19 pandemic has presented as a public health issue. This study examined the relationship between political affiliation and vaccination decisions of Hispanic adults in Pima County, Arizona.
Methods: Between January and October 2022, 623 participants completed surveys in English or Spanish after completing informed consent process.
Sleep Med
January 2025
Department of Child Neurology and Department of Sleep Medicine, Geisinger Commonwealth School of Medicine, Geisinger Medical Center, Janet Weis Children's Hospital, Danville, PA, USA.
J Am Med Inform Assoc
November 2024
Pima County Health Department, Tucson, AZ 85714, United States.
Objective: This communication presents the results of defining a tribal health jurisdiction by a combination of tribal affiliation (TA) and case address.
Materials And Methods: Through a county-tribal partnership, Geographic Information System (GIS) software and custom code were used to extract tribal data from county data by identifying reservation addresses in county extracts of COVID-19 case records from December 30, 2019, to December 31, 2022 (n = 374 653) and COVID-19 vaccination records from December 1, 2020, to April 18, 2023 (n = 2 355 058).
Results: The tool identified 1.
Technol Cancer Res Treat
May 2024
Department of Computed Tomography and Magnetic Resonance, Xing Tai People's Hospital, Xing Tai, He Bei, China.
To develop and validate predictive models based on clinical parameters, and radiomic features to distinguish pulmonary pure invasive mucinous adenocarcinoma (pIMA) from mixed mucinous adenocarcinoma (mIMA) before surgery. From January 2017 to December 2022, 193 pIMA and 111 mIMA were retrospectively analyzed at our hospital in this retrospective study. From contrast-enhanced computed tomography, 1037 radiomic features were extracted.
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