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Zhao Y, Wang QY, Zeng LT, Wang JJ, Liu Z, Fan GQ, Li J, Cai JP. Long-Term High-Fat High-Fructose Diet Induces Type 2 Diabetes in Rats through Oxidative Stress. Nutrients 2022; 14:nu14112181. [PMID: 35683981 PMCID: PMC9182436 DOI: 10.3390/nu14112181] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Revised: 05/13/2022] [Accepted: 05/20/2022] [Indexed: 12/25/2022] Open
Abstract
Long-term consumption of a Western diet is a major cause of type 2 diabetes mellitus (T2DM). However, the effects of diet on pancreatic structure and function remain unclear. Rats fed a high-fat, high-fructose (HFHF) diet were compared with rats fed a normal diet for 3 and 18 months. Plasma biochemical parameters and inflammatory factors were used to reflect metabolic profile and inflammatory status. The rats developed metabolic disorders, and the size of the islets in the pancreas increased after 3 months of HFHF treatment but decreased and became irregular after 18 months. Fasting insulin, C-peptide, proinsulin, and intact proinsulin levels were significantly higher in the HFHF group than those in the age-matched controls. Plasmatic oxidative parameters and nucleic acid oxidation markers (8-oxo-Gsn and 8-oxo-dGsn) became elevated before inflammatory factors, suggesting that the HFHF diet increased the degree of oxidative stress before affecting inflammation. Single-cell RNA sequencing also verified that the transcriptional level of oxidoreductase changed differently in islet subpopulations with aging and long-term HFHF diet. We demonstrated that long-term HFHF diet and aging-associated structural and transcriptomic changes that underlie pancreatic islet functional decay is a possible underlying mechanism of T2DM, and our study could provide new insights to prevent the development of diet-induced T2DM.
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Affiliation(s)
- Yue Zhao
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing 100730, China; (Y.Z.); (Q.-Y.W.); (Z.L.); (G.-Q.F.); (J.L.)
- Graduate School of Peking Union Medical College, Beijing 100730, China
| | - Qing-Yu Wang
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing 100730, China; (Y.Z.); (Q.-Y.W.); (Z.L.); (G.-Q.F.); (J.L.)
| | - Lv-Tao Zeng
- Peking University Fifth School of Clinical Medicine, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing 100730, China;
| | - Jing-Jing Wang
- Department of Clinical Laboratory, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University, Zhengzhou 450066, China;
| | - Zhen Liu
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing 100730, China; (Y.Z.); (Q.-Y.W.); (Z.L.); (G.-Q.F.); (J.L.)
- Graduate School of Peking Union Medical College, Beijing 100730, China
| | - Guo-Qing Fan
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing 100730, China; (Y.Z.); (Q.-Y.W.); (Z.L.); (G.-Q.F.); (J.L.)
- Graduate School of Peking Union Medical College, Beijing 100730, China
| | - Jin Li
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing 100730, China; (Y.Z.); (Q.-Y.W.); (Z.L.); (G.-Q.F.); (J.L.)
| | - Jian-Ping Cai
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing 100730, China; (Y.Z.); (Q.-Y.W.); (Z.L.); (G.-Q.F.); (J.L.)
- Graduate School of Peking Union Medical College, Beijing 100730, China
- Correspondence: ; Tel.: +86-010-58115080
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Rao A, McBride EL, Zhang G, Xu H, Cai T, Notkins AL, Aronova MA, Leapman RD. Determination of secretory granule maturation times in pancreatic islet β-cells by serial block-face electron microscopy. J Struct Biol 2020; 212:107584. [PMID: 32736074 DOI: 10.1016/j.jsb.2020.107584] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2019] [Revised: 07/19/2020] [Accepted: 07/21/2020] [Indexed: 01/19/2023]
Abstract
It is shown how serial block-face electron microscopy (SBEM) of insulin-secreting β-cells in wild-type mouse pancreatic islets of Langerhans can be used to determine maturation times of secretory granules. Although SBEM captures the β-cell structure at a snapshot in time, the observed ultrastructure can be considered representative of a dynamic equilibrium state of the cells since the pancreatic islets are maintained in culture in approximate homeostasis. It was found that 7.2 ± 1.2% (±st. dev.) of the β-cell volume is composed of secretory granule dense-cores exhibiting angular shapes surrounded by wide (typically ≳100 nm) electron-lucent halos. These organelles are identified as mature granules that store insulin for regulated release through the plasma membrane, with a release time of 96 ± 12 h, as previously obtained from pulsed 35S-radiolabeling of cysteine and methionine. Analysis of β-cell 3D volumes reveals a subpopulation of secretory organelles without electron-lucent halos, identified as immature secretory granules. Another subpopulation of secretory granules is found with thin (typically ≲30 nm) electron-lucent halos, which are attributed to immature granules that are transforming from proinsulin to insulin by action of prohormone convertases. From the volume ratio of proinsulin in the immature granules to insulin in the mature granules, we estimate that the newly formed immature granules remain in morphologically-defined immature states for an average time of 135 ± 14 min, and the immature transforming granules for an average time of 130 ± 17 min.
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Affiliation(s)
- A Rao
- Laboratory of Cellular Imaging and Macromolecular Biophysics, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, MD 20892, USA
| | - E L McBride
- Laboratory of Cellular Imaging and Macromolecular Biophysics, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, MD 20892, USA
| | - G Zhang
- Laboratory of Cellular Imaging and Macromolecular Biophysics, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, MD 20892, USA
| | - H Xu
- Experimental Medicine Section, National Institute of Dental and Craniofacial Research, National Institutes of Health, Bethesda, MD 20892, USA
| | - T Cai
- Experimental Medicine Section, National Institute of Dental and Craniofacial Research, National Institutes of Health, Bethesda, MD 20892, USA
| | - A L Notkins
- Experimental Medicine Section, National Institute of Dental and Craniofacial Research, National Institutes of Health, Bethesda, MD 20892, USA
| | - M A Aronova
- Laboratory of Cellular Imaging and Macromolecular Biophysics, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, MD 20892, USA
| | - R D Leapman
- Laboratory of Cellular Imaging and Macromolecular Biophysics, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, MD 20892, USA.
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Alasel M, Keusgen M. Promising alternatives for one-tier testing of Lyme borreliosis. Clin Chim Acta 2018; 479:148-154. [PMID: 29366833 DOI: 10.1016/j.cca.2018.01.030] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2017] [Revised: 01/15/2018] [Accepted: 01/19/2018] [Indexed: 11/16/2022]
Abstract
A main focus of human health studies is the early detection of infectious diseases to enable more rapid treatment and prevent disease transmission. Diagnosis of Lyme borreliosis has been always challenging because of the lack of specific, but simple assay formats. Two-tiered testing has been recommended by US Centers for Disease Control and Prevention to provide more specific results for diagnosis of Lyme disease. However, such a technique is time consuming and is not well suited for early stage detection. Therefore, many tests were proposed as alternatives to overcome these drawbacks. Simple assays, which are mainly performed in one-tier manner, could be conducted with better performance than the two-tiered testing. Proposed assays utilize both newly identified antigens and new platforms to improve detection performance. These assays can be classified into those based on employing a single antigen and assays based on using multiple antigens. In addition to assays to this type of assays, immunoassays on borreliosis-related biomarkers are available. We report here the most recent assays developed over the last 10 years, for detection of Lyme borreliosis in body fluids.
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Affiliation(s)
- Mohammed Alasel
- Institute of Pharmaceutical Chemistry, Philipps-Universität, Marbacher Weg 6-10, 35032 Marburg, Germany.
| | - Michael Keusgen
- Institute of Pharmaceutical Chemistry, Philipps-Universität, Marbacher Weg 6-10, 35032 Marburg, Germany
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Percy AJ, Michaud SA, Jardim A, Sinclair NJ, Zhang S, Mohammed Y, Palmer AL, Hardie DB, Yang J, LeBlanc AM, Borchers CH. Multiplexed MRM-based assays for the quantitation of proteins in mouse plasma and heart tissue. Proteomics 2016; 17. [DOI: 10.1002/pmic.201600097] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2016] [Revised: 08/14/2016] [Accepted: 09/28/2016] [Indexed: 12/30/2022]
Affiliation(s)
- Andrew J. Percy
- University of Victoria-Genome British Columbia Proteomics Centre; , Vancouver Island Technology Park; Victoria BC Canada
| | - Sarah A. Michaud
- MRM Proteomics; , Vancouver Island Technology Park; Victoria BC Canada
| | - Armando Jardim
- Institute of Parasitology; McGill University; Montreal QC Canada
| | - Nicholas J. Sinclair
- University of Victoria-Genome British Columbia Proteomics Centre; , Vancouver Island Technology Park; Victoria BC Canada
| | - Suping Zhang
- MRM Proteomics; , Vancouver Island Technology Park; Victoria BC Canada
| | - Yassene Mohammed
- University of Victoria-Genome British Columbia Proteomics Centre; , Vancouver Island Technology Park; Victoria BC Canada
- Center for Proteomics and Metabolomics; Leiden University Medical Center; ZA Leiden Netherlands
| | - Andrea L. Palmer
- MRM Proteomics; , Vancouver Island Technology Park; Victoria BC Canada
| | - Darryl B. Hardie
- University of Victoria-Genome British Columbia Proteomics Centre; , Vancouver Island Technology Park; Victoria BC Canada
| | - Juncong Yang
- University of Victoria-Genome British Columbia Proteomics Centre; , Vancouver Island Technology Park; Victoria BC Canada
| | - Andre M. LeBlanc
- University of Victoria-Genome British Columbia Proteomics Centre; , Vancouver Island Technology Park; Victoria BC Canada
| | - Christoph H. Borchers
- University of Victoria-Genome British Columbia Proteomics Centre; , Vancouver Island Technology Park; Victoria BC Canada
- Department of Biochemistry and Microbiology; University of Victoria; Victoria BC Canada
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