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Peter D Reaven

Explore the profile of Peter D Reaven including associated specialties, affiliations and a list of published articles. Areas
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Articles 106
Citations 4952
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Recent Articles
1.
Koska J, Hu Y, Furtado J, Billheimer D, Nedelkov D, Schwenke D, et al.
Diabetes Care . 2024 Oct; 47(12):2214-2222. PMID: 39453822
Objective: Higher truncated-to-native apolipoprotein (apo) C-I proteoform ratios (C-I'/C-I) are associated with favorable cardiometabolic risk profiles, but their relationship with longitudinal changes in insulin resistance (IR) and incident diabetes is...
2.
Breeyear J, Mitchell S, Nealon C, Hellwege J, Charest B, Khakharia A, et al.
J Am Med Inform Assoc . 2024 Aug; 31(11):2560-2570. PMID: 39158361
Objectives: To develop, validate, and implement algorithms to identify diabetic retinopathy (DR) cases and controls from electronic health care records (EHRs). Materials And Methods: We developed and validated electronic health...
3.
Breeyear J, Hellwege J, Schroeder P, House J, Poisner H, Mitchell S, et al.
Nat Med . 2024 Jun; 30(9):2480-2488. PMID: 38918629
Diabetes complications occur at higher rates in individuals of African ancestry. Glucose-6-phosphate dehydrogenase deficiency (G6PDdef), common in some African populations, confers malaria resistance, and reduces hemoglobin A1c (HbA1c) levels by...
4.
Koska J, Hansen S, Hu Y, Jensen M, Billheimer D, Nedelkov D, et al.
Atherosclerosis . 2024 Jun; 395:117584. PMID: 38823352
Background And Aims: Apolipoprotein C-III (apoC-III) proteoform composition shows distinct relationships with plasma lipids and cardiovascular risk. The present study tested whether apoC-III proteoforms are associated with risk of peripheral...
5.
Yang P, Jackson S, Charest B, Cheng Y, Sun Y, Raghavan S, et al.
Diabetes Care . 2024 Apr; 47(6):1032-1041. PMID: 38608262
Objective: To characterize high type 1 diabetes (T1D) genetic risk in a population where type 2 diabetes (T2D) predominates. Research Design And Methods: Characteristics typically associated with T1D were assessed...
6.
Breeyear J, Mitchell S, Nealon C, Hellwege J, Charest B, Khakharia A, et al.
medRxiv . 2023 Nov; PMID: 38014167
Objectives: To develop, validate and implement algorithms to identify diabetic retinopathy (DR) cases and controls from electronic health care records (EHR)s. : We developed and validated EHR-based algorithms to identify...
7.
Shuey M, Lee K, Keaton J, Khankari N, Breeyear J, Walker V, et al.
EBioMedicine . 2023 Jul; 94:104674. PMID: 37399599
Background: The identification of new uses for existing drug therapies has the potential to identify treatments for comorbid conditions that have the added benefit of glycemic control while also providing...
8.
Reaven P, Newell M, Rivas S, Zhou X, Norman G, Zhou J
Diabetes Care . 2023 Feb; 46(4):854-863. PMID: 36807492
Objective: To determine the benefit of starting continuous glucose monitoring (CGM) in adult-onset type 1 diabetes (T1D) and type 2 diabetes (T2D) with regard to longer-term glucose control and serious...
9.
Trenchevska O, Koska J, Sinari S, Yassine H, Reaven P, Billheimer D, et al.
Clin Mass Spectrom . 2023 Feb; 1:27-31. PMID: 36778895
Background: Cystatin C (CysC), a marker for chronic kidney disease, exists as three sequence proteoforms, in addition to the wild-type sequence: one contains hydroxyproline at position 3 (3Pro-OH), the two...
10.
Huang J, Huffman J, Huang Y, Do Valle I, Assimes T, Raghavan S, et al.
Nat Commun . 2022 Dec; 13(1):7973. PMID: 36581621
Elevated body mass index (BMI) is heritable and associated with many health conditions that impact morbidity and mortality. The study of the genetic association of BMI across a broad range...