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Houske EA, Glimm MG, Bergstrom AR, Slipher SK, Welhaven HD, Greenwood MC, Linse GM, June RK, Yu ASL, Wallace DP, Hahn AK. Metabolomic profiling to identify early urinary biomarkers and metabolic pathway alterations in autosomal dominant polycystic kidney disease. Am J Physiol Renal Physiol 2023; 324:F590-F602. [PMID: 37141147 PMCID: PMC10281782 DOI: 10.1152/ajprenal.00301.2022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Revised: 04/06/2023] [Accepted: 04/26/2023] [Indexed: 05/05/2023] Open
Abstract
Autosomal dominant polycystic kidney disease (ADPKD) is characterized by the formation of numerous fluid-filled cysts that lead to progressive loss of functional nephrons. Currently, there is an unmet need for diagnostic and prognostic indicators of early stages of the disease. Metabolites were extracted from the urine of patients with early-stage ADPKD (n = 48 study participants) and age- and sex-matched normal controls (n = 47) and analyzed by liquid chromatography-mass spectrometry. Orthogonal partial least squares-discriminant analysis was used to generate a global metabolomic profile of early ADPKD for the identification of metabolic pathway alterations and discriminatory metabolites as candidates of diagnostic and prognostic biomarkers. The global metabolomic profile exhibited alterations in steroid hormone biosynthesis and metabolism, fatty acid metabolism, pyruvate metabolism, amino acid metabolism, and the urea cycle. A panel of 46 metabolite features was identified as candidate diagnostic biomarkers. Notable putative identities of candidate diagnostic biomarkers for early detection include creatinine, cAMP, deoxycytidine monophosphate, various androgens (testosterone; 5-α-androstane-3,17,dione; trans-dehydroandrosterone), betaine aldehyde, phosphoric acid, choline, 18-hydroxycorticosterone, and cortisol. Metabolic pathways associated with variable rates of disease progression included steroid hormone biosynthesis and metabolism, vitamin D3 metabolism, fatty acid metabolism, the pentose phosphate pathway, tricarboxylic acid cycle, amino acid metabolism, sialic acid metabolism, and chondroitin sulfate and heparin sulfate degradation. A panel of 41 metabolite features was identified as candidate prognostic biomarkers. Notable putative identities of candidate prognostic biomarkers include ethanolamine, C20:4 anandamide phosphate, progesterone, various androgens (5-α-dihydrotestosterone, androsterone, etiocholanolone, and epiandrosterone), betaine aldehyde, inflammatory lipids (eicosapentaenoic acid, linoleic acid, and stearolic acid), and choline. Our exploratory data support metabolic reprogramming in early ADPKD and demonstrate the ability of liquid chromatography-mass spectrometry-based global metabolomic profiling to detect metabolic pathway alterations as new therapeutic targets and biomarkers for early diagnosis and tracking disease progression of ADPKD.NEW & NOTEWORTHY To our knowledge, this study is the first to generate urinary global metabolomic profiles from individuals with early-stage ADPKD with preserved renal function for biomarker discovery. The exploratory dataset reveals metabolic pathway alterations that may be responsible for early cystogenesis and rapid disease progression and may be potential therapeutic targets and pathway sources for candidate biomarkers. From these results, we generated a panel of candidate diagnostic and prognostic biomarkers of early-stage ADPKD for future validation.
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Affiliation(s)
- Eden A Houske
- Department of Biological and Environmental Science, Carroll College, Helena, Montana, United States
| | - Matthew G Glimm
- Department of Biological and Environmental Science, Carroll College, Helena, Montana, United States
| | - Annika R Bergstrom
- Department of Chemical and Biological Engineering, Villanova University, Villanova, Pennsylvania, United States
| | - Sally K Slipher
- Department of Mathematical Sciences, Montana State University, Bozeman, Montana, United States
| | - Hope D Welhaven
- Department of Chemistry and Biochemistry, Montana State University, Bozeman, Montana, United States
- Molecular Biosciences Program, Montana State University, Bozeman, Montana, United States
| | - Mark C Greenwood
- Department of Mathematical Sciences, Montana State University, Bozeman, Montana, United States
| | - Greta M Linse
- Department of Mathematical Sciences, Montana State University, Bozeman, Montana, United States
| | - Ronald K June
- Department of Mechanical and Industrial Engineering, Montana State University, Bozeman, Montana, United States
| | - Alan S L Yu
- Department of Internal Medicine, Jared Grantham Kidney Institute, University of Kansas Medical Center, Kansas City, Kansas, United States
| | - Darren P Wallace
- Department of Internal Medicine, Jared Grantham Kidney Institute, University of Kansas Medical Center, Kansas City, Kansas, United States
| | - Alyssa K Hahn
- Department of Biological and Environmental Science, Carroll College, Helena, Montana, United States
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Coderre EL, Cohn N, Slipher SK, Chernenok M, Ledoux K, Gordon B. Visual and linguistic narrative comprehension in autism spectrum disorders: Neural evidence for modality-independent impairments. Brain Lang 2018; 186:44-59. [PMID: 30216902 DOI: 10.1016/j.bandl.2018.09.001] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/27/2017] [Revised: 06/15/2018] [Accepted: 09/02/2018] [Indexed: 06/08/2023]
Abstract
Individuals with autism spectrum disorders (ASD) have notable language difficulties, including with understanding narratives. However, most narrative comprehension studies have used written or spoken narratives, making it unclear whether narrative difficulties stem from language impairments or more global impairments in the kinds of general cognitive processes (such as understanding meaning and structural sequencing) that are involved in narrative comprehension. Using event-related potentials (ERPs), we directly compared semantic comprehension of linguistic narratives (short sentences) and visual narratives (comic panels) in adults with ASD and typically-developing (TD) adults. Compared to the TD group, the ASD group showed reduced N400 effects for both linguistic and visual narratives, suggesting comprehension impairments for both types of narratives and thereby implicating a more domain-general impairment. Based on these results, we propose that individuals with ASD use a more bottom-up style of processing during narrative comprehension.
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Affiliation(s)
- Emily L Coderre
- Department of Communication Sciences and Disorders, University of Vermont, Burlington, VT, United States; Cognitive Neurology/Neuropsychology, Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, United States.
| | - Neil Cohn
- Tilburg Center for Cognition and Communication (TiCC), Tilburg University, Tilburg, The Netherlands
| | - Sally K Slipher
- Cognitive Neurology/Neuropsychology, Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, United States; Department of Health Professions, Montana State University, Bozeman, MT, United States
| | - Mariya Chernenok
- Cognitive Neurology/Neuropsychology, Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, United States; Department of Human Ecology, University of California at Davis, Davis, CA, United States
| | - Kerry Ledoux
- Cognitive Neurology/Neuropsychology, Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Barry Gordon
- Cognitive Neurology/Neuropsychology, Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, United States; Department of Cognitive Science, The Johns Hopkins University, Baltimore, MD, United States
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