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Browsing by Author "Qian, Wei-Jun"
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Item Altered β-Cell Prohormone Processing and Secretion in Type 1 Diabetes(American Diabetes Association, 2021) Rodriguez-Calvo, Teresa; Chen, Yi-Chun; Verchere, C. Bruce; Haataja, Leena; Arvan, Peter; Leete, Pia; Richardson, Sarah J.; Morgan, Noel G.; Qian, Wei-Jun; Pugliese, Alberto; Atkinson, Mark; Evans-Molina, Carmella; Sims, Emily K.; Pediatrics, School of MedicineAnalysis of data from clinical cohorts, and more recently from human pancreatic tissue, indicates that reduced prohormone processing is an early and persistent finding in type 1 diabetes. In this article, we review the current state of knowledge regarding alterations in islet prohormone expression and processing in type 1 diabetes and consider the clinical impact of these findings. Lingering questions, including pathologic etiologies and consequences of altered prohormone expression and secretion in type 1 diabetes, and the natural history of circulating prohormone production in health and disease, are considered. Finally, key next steps required to move forward in this area are outlined, including longitudinal testing of relevant clinical populations, studies that probe the genetics of altered prohormone processing, the need for combined functional and histologic testing of human pancreatic tissues, continued interrogation of the intersection between prohormone processing and autoimmunity, and optimal approaches for analysis. Successful resolution of these questions may offer the potential to use altered prohormone processing as a biomarker to inform therapeutic strategies aimed at personalized intervention during the natural history of type 1 diabetes and as a pathogenic anchor for identification of potential disease-specific endotypes.Item Comprehensive Proteomics Analysis of Stressed Human Islets Identifies GDF15 as a Target for Type 1 Diabetes Intervention(Elsevier, 2020-02-04) Nakayasu, Ernesto S.; Syed, Farooq; Tersey, Sarah A.; Gritsenko, Marina A.; Mitchell, Hugh D.; Chan, Chi Yuet; Dirice, Ercument; Turatsinze, Jean-Valery; Cui, Yi; Kulkarni, Rohit N.; Eizirik, Decio L.; Qian, Wei-Jun; Webb-Robertson, Bobbie-Jo M.; Evans-Molina, Carmella; Mirmira., Raghavendra G.; Metz, Thomas O.; Pediatrics, School of MedicineType 1 diabetes (T1D) results from the progressive loss of β cells, a process propagated by pro-inflammatory cytokine signaling that disrupts the balance between pro- and anti-apoptotic proteins. To identify proteins involved in this process, we performed comprehensive proteomics of human pancreatic islets treated with interleukin-1β and interferon-γ, leading to the identification of 11,324 proteins, of which 387 were significantly regulated by treatment. We then tested the function of growth/differentiation factor 15 (GDF15), which was repressed by the treatment. We found that GDF15 translation was blocked during inflammation, and it was depleted in islets from individuals with T1D. The addition of exogenous GDF15 inhibited interleukin-1β+interferon-γ-induced apoptosis of human islets. Administration of GDF15 reduced by 53% the incidence of diabetes in NOD mice. Our approach provides a unique resource for the identification of the human islet proteins regulated by cytokines and was effective in discovering a potential target for T1D therapy.Item Proinsulin Secretion Is a Persistent Feature of Type 1 Diabetes(American Diabetes Association, 2019-02) Sims, Emily K.; Bahnson, Henry T.; Nyalwidhe, Julius; Haataja, Leena; Davis, Asa K.; Speake, Cate; DiMeglio, Linda A.; Blum, Janice; Morris, Margaret A.; Mirmira, Raghavendra G.; Nadler, Jerry; Mastracci, Teresa L.; Marcovina, Santica; Qian, Wei-Jun; Yi, Lian; Swensen, Adam C.; Yip-Schneider, Michele; Schmidt, C. Max; Considine, Robert V.; Arvan, Peter; Greenbaum, Carla J.; Evans-Molina, Carmella; T1D Exchange Residual C-peptide Study Group; Pediatrics, School of MedicineOBJECTIVE: Abnormally elevated proinsulin secretion has been reported in type 2 and early type 1 diabetes when significant C-peptide is present. We questioned whether individuals with long-standing type 1 diabetes and low or absent C-peptide secretory capacity retained the ability to make proinsulin. RESEARCH DESIGN AND METHODS: C-peptide and proinsulin were measured in fasting and stimulated sera from 319 subjects with long-standing type 1 diabetes (≥3 years) and 12 control subjects without diabetes. We considered three categories of stimulated C-peptide: 1) C-peptide positive, with high stimulated values ≥0.2 nmol/L; 2) C-peptide positive, with low stimulated values ≥0.017 but <0.2 nmol/L; and 3) C-peptide <0.017 nmol/L. Longitudinal samples were analyzed from C-peptide-positive subjects with diabetes after 1, 2, and 4 years. RESULTS: Of individuals with long-standing type 1 diabetes, 95.9% had detectable serum proinsulin (>3.1 pmol/L), while 89.9% of participants with stimulated C-peptide values below the limit of detection (<0.017 nmol/L; n = 99) had measurable proinsulin. Proinsulin levels remained stable over 4 years of follow-up, while C-peptide decreased slowly during longitudinal analysis. Correlations between proinsulin with C-peptide and mixed-meal stimulation of proinsulin were found only in subjects with high stimulated C-peptide values (≥0.2 nmol/L). Specifically, increases in proinsulin with mixed-meal stimulation were present only in the group with high stimulated C-peptide values, with no increases observed among subjects with low or undetectable (<0.017 nmol/L) residual C-peptide. CONCLUSIONS: In individuals with long-duration type 1 diabetes, the ability to secrete proinsulin persists, even in those with undetectable serum C-peptide.Item Response to Comment on Sims et al. Proinsulin Secretion Is a Persistent Feature of Type 1 Diabetes. Diabetes Care 2019;42:258–264(American Diabetes Association, 2019-05) Sims, Emily K.; Bahnson, Henry T.; Nyalwidhe, Julius; Haataja, Leena; Davis, Asa K.; Speake, Cate; DiMeglio, Linda A.; Blum, Janice; Morris, Margaret A.; Mirmira, Raghavendra G.; Nadler, Jerry; Mastracci, Teresa L.; Marcovina, Santica; Qian, Wei-Jun; Yi, Lian; Swensen, Adam C.; Yip-Schneider, Michele; Schmidt, C. Max; Considine, Robert V.; Arvan, Peter; Greenbaum, Carla J.; Evans-Molina, Carmella; Pediatrics, School of MedicineItem The role of proteomics in assessing beta-cell dysfunction and death in type 1 diabetes(Taylor & Francis, 2019-06-24) Nakayasu, Ernesto S.; Qian, Wei-Jun; Evans-Molina, Carmella; Mirmira, Raghavendra G.; Eizirik, Decio L.; Metz, Thomas O.; Pediatrics, School of MedicineIntroduction: Type 1 diabetes (T1D) is characterized by autoimmune-induced dysfunction and destruction of the pancreatic beta cells. Unfortunately, this process is poorly understood, and the current best treatment for type 1 diabetes is administration of exogenous insulin. To better understand these mechanisms and to develop new therapies, there is an urgent need for biomarkers that can reliably predict disease stage. Areas covered: Mass spectrometry (MS)-based proteomics and complementary techniques play an important role in understanding the autoimmune response, inflammation and beta-cell death. MS is also a leading technology for the identification of biomarkers. This, and the technical difficulties and new technologies that provide opportunities to characterize small amounts of sample in great depth and to analyze large sample cohorts will be discussed in this review. Expert opinion: Understanding disease mechanisms and the discovery of disease-associated biomarkers are highly interconnected goals. Ideal biomarkers would be molecules specific to the different stages of the disease process that are released from beta cells to the bloodstream. However, such molecules are likely present in trace amounts in the blood due to the small number of pancreatic beta cells in the human body and the heterogeneity of the target organ and disease process.Item Tutorial: best practices and considerations for mass-spectrometry-based protein biomarker discovery and validation(Springer Nature, 2021) Nakayasu, Ernesto S.; Gritsenko, Marina; Piehowski, Paul D.; Gao, Yuqian; Orton, Daniel J.; Schepmoes, Athena A.; Fillmore, Thomas L.; Frohnert, Brigitte I.; Rewers, Marian; Krischer, Jeffrey P.; Ansong, Charles; Suchy-Dicey, Astrid M.; Evans-Molina, Carmella; Qian, Wei-Jun; Webb-Robertson, Bobbie-Jo M.; Metz, Thomas O.; Pediatrics, School of MedicineMass-spectrometry-based proteomic analysis is a powerful approach for discovering new disease biomarkers. However, certain critical steps of study design such as cohort selection, evaluation of statistical power, sample blinding and randomization, and sample/data quality control are often neglected or underappreciated during experimental design and execution. This tutorial discusses important steps for designing and implementing a liquid-chromatography-mass-spectrometry-based biomarker discovery study. We describe the rationale, considerations and possible failures in each step of such studies, including experimental design, sample collection and processing, and data collection. We also provide guidance for major steps of data processing and final statistical analysis for meaningful biological interpretations along with highlights of several successful biomarker studies. The provided guidelines from study design to implementation to data interpretation serve as a reference for improving rigor and reproducibility of biomarker development studies.