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      Antipsychotic olanzapine-induced misfolding of proinsulin in the endoplasmic reticulum accounts for atypical development of diabetes

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          Abstract

          Second-generation antipsychotics are widely used to medicate patients with schizophrenia, but may cause metabolic side effects such as diabetes, which has been considered to result from obesity-associated insulin resistance. Olanzapine is particularly well known for this effect. However, clinical studies have suggested that olanzapine-induced hyperglycemia in certain patients cannot be explained by such a generalized mechanism. Here, we focused on the effects of olanzapine on insulin biosynthesis and secretion by mouse insulinoma MIN6 cells. Olanzapine reduced maturation of proinsulin, and thereby inhibited secretion of insulin; and specifically shifted the primary localization of proinsulin from insulin granules to the endoplasmic reticulum. This was due to olanzapine’s impairment of proper disulfide bond formation in proinsulin, although direct targets of olanzapine remain undetermined. Olanzapine-induced proinsulin misfolding and subsequent decrease also occurred at the mouse level. This mechanism of olanzapine-induced β-cell dysfunction should be considered, together with weight gain, when patients are administered olanzapine.

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          MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification.

          Efficient analysis of very large amounts of raw data for peptide identification and protein quantification is a principal challenge in mass spectrometry (MS)-based proteomics. Here we describe MaxQuant, an integrated suite of algorithms specifically developed for high-resolution, quantitative MS data. Using correlation analysis and graph theory, MaxQuant detects peaks, isotope clusters and stable amino acid isotope-labeled (SILAC) peptide pairs as three-dimensional objects in m/z, elution time and signal intensity space. By integrating multiple mass measurements and correcting for linear and nonlinear mass offsets, we achieve mass accuracy in the p.p.b. range, a sixfold increase over standard techniques. We increase the proportion of identified fragmentation spectra to 73% for SILAC peptide pairs via unambiguous assignment of isotope and missed-cleavage state and individual mass precision. MaxQuant automatically quantifies several hundred thousand peptides per SILAC-proteome experiment and allows statistically robust identification and quantification of >4,000 proteins in mammalian cell lysates.
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            A simple practice guide for dose conversion between animals and human

            Understanding the concept of extrapolation of dose between species is important for pharmaceutical researchers when initiating new animal or human experiments. Interspecies allometric scaling for dose conversion from animal to human studies is one of the most controversial areas in clinical pharmacology. Allometric approach considers the differences in body surface area, which is associated with animal weight while extrapolating the doses of therapeutic agents among the species. This review provides basic information about translation of doses between species and estimation of starting dose for clinical trials using allometric scaling. The method of calculation of injection volume for parenteral formulation based on human equivalent dose is also briefed.
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              Andromeda: a peptide search engine integrated into the MaxQuant environment.

              A key step in mass spectrometry (MS)-based proteomics is the identification of peptides in sequence databases by their fragmentation spectra. Here we describe Andromeda, a novel peptide search engine using a probabilistic scoring model. On proteome data, Andromeda performs as well as Mascot, a widely used commercial search engine, as judged by sensitivity and specificity analysis based on target decoy searches. Furthermore, it can handle data with arbitrarily high fragment mass accuracy, is able to assign and score complex patterns of post-translational modifications, such as highly phosphorylated peptides, and accommodates extremely large databases. The algorithms of Andromeda are provided. Andromeda can function independently or as an integrated search engine of the widely used MaxQuant computational proteomics platform and both are freely available at www.maxquant.org. The combination enables analysis of large data sets in a simple analysis workflow on a desktop computer. For searching individual spectra Andromeda is also accessible via a web server. We demonstrate the flexibility of the system by implementing the capability to identify cofragmented peptides, significantly improving the total number of identified peptides.
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                Author and article information

                Contributors
                Role: Reviewing Editor
                Role: Senior Editor
                Journal
                eLife
                Elife
                eLife
                eLife
                eLife Sciences Publications, Ltd
                2050-084X
                17 November 2020
                2020
                : 9
                : e60970
                Affiliations
                [1 ]Department of Biophysics, Graduate School of Science, Kyoto University KyotoJapan
                [2 ]Department of Surgery, Graduate School of Medicine, Kyoto University KyotoJapan
                [3 ]Frontier Research Institute for Interdisciplinary Sciences, Tohoku University SendaiJapan
                [4 ]School of Science and Technology, Kwansei Gakuin University SandaJapan
                [5 ]Department of Molecular and Cellular BioAnalysis, Graduate School of Pharmaceutical Sciences, Kyoto University KyotoJapan
                [6 ]Department of Biomedical Sciences, Creighton University School of Medicine OmahaUnited States
                [7 ]Laboratory of Secretion Biology, Institute for Molecular and Cellular Regulation, Gunma University MaebashiJapan
                [8 ]Institute of Multidisciplinary Research for Advanced Materials, Tohoku University SendaiJapan
                [9 ]Sunlight Brain Research Center YamaguchiJapan
                MRC Laboratory of Molecular Biology United Kingdom
                The Barcelona Institute of Science and Technology Spain
                MRC Laboratory of Molecular Biology United Kingdom
                MRC Laboratory of Molecular Biology United Kingdom
                Author notes
                [†]

                These authors contributed equally to this work.

                Author information
                https://orcid.org/0000-0002-8005-4716
                https://orcid.org/0000-0001-8734-2270
                https://orcid.org/0000-0001-8130-2470
                https://orcid.org/0000-0003-0470-4251
                https://orcid.org/0000-0001-5099-7572
                https://orcid.org/0000-0002-7012-8179
                http://orcid.org/0000-0002-7451-4982
                http://orcid.org/0000-0003-1718-6764
                https://orcid.org/0000-0003-3297-9893
                https://orcid.org/0000-0002-7388-0331
                http://orcid.org/0000-0001-7714-203X
                http://orcid.org/0000-0001-8229-0467
                https://orcid.org/0000-0002-7625-5750
                http://orcid.org/0000-0002-0690-6271
                https://orcid.org/0000-0001-7378-4019
                Article
                60970
                10.7554/eLife.60970
                7671685
                33198886
                f68f7bd9-afa9-40f3-9e65-959c4e13a509
                © 2020, Ninagawa et al

                This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.

                History
                : 14 July 2020
                : 22 October 2020
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100001700, Ministry of Education, Culture, Sports, Science and Technology;
                Award ID: 18K06216
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100001700, Ministry of Education, Culture, Sports, Science and Technology;
                Award ID: 19K06658
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100001700, Ministry of Education, Culture, Sports, Science and Technology;
                Award ID: 17H01432
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100001700, Ministry of Education, Culture, Sports, Science and Technology;
                Award ID: 17H06419
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100007106, Gunma University;
                Award ID: #18021 Joint Research Program of the Institute for Molecular and Cellular Regulation
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100007449, Takeda Science Foundation;
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100005865, Mochida Memorial Foundation for Medical and Pharmaceutical Research;
                Award Recipient :
                The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
                Categories
                Research Article
                Cell Biology
                Custom metadata
                The mechanism identified here that mediates olanzapine-induced b-cell dysfunction should be considered, along with weight gain, in mitigating adverse side effects when patients with schizophrenia are prescribed olanzapine.

                Life sciences
                proinsulin,misfolding,degradation,diabetes,mouse
                Life sciences
                proinsulin, misfolding, degradation, diabetes, mouse

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