Pima Indians have served as a model of non-insulin-dependent diabetes mellitus (NIDDM). Within this population, inherited insulin resistance is a primary determinant of abnormal glucose metabolism. The insulin receptor is regarded as a "candidate gene" that could potentially be defective in Pima Indians or other populations with NIDDM. To directly address the question of potential insulin-receptor genetic defects in Pima Indians, we isolated and sequenced insulin-receptor cDNA from two Pima Indians with NIDDM. Small amounts of lymphoblast RNA were used to generate first-strand cDNA, which was then amplified via the polymerase chain reaction (PCR). In this way, seven overlapping segments of insulin-receptor cDNA were obtained. With the exception of the alternatively spliced 36-base pair exon 11, which is not expressed in lymphoblasts, the complete coding region of the mature proreceptor was examined with a combination of direct sequencing and sequencing of subcloned PCR segments. The nucleotide sequence in both subjects was identical to previously published insulin-receptor cDNA sequences obtained from healthy subjects. These data indicate that abnormalities of insulin binding and receptor function that have been previously observed in vitro with fresh and cultured cells from Pima Indians may be consequences of the diabetic milieu and/or genetic abnormalities in molecules that interact with the insulin receptor.
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http://dx.doi.org/10.2337/diab.38.11.1496 | 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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