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  1. Article ; Online: How to predict the prognosis in juvenile-onset SLE?

    Yamamoto, Hiroyasu

    EBioMedicine

    2021  Volume 66, Page(s) 103285

    MeSH term(s) Age of Onset ; Humans ; Lupus Erythematosus, Systemic ; Prognosis
    Language English
    Publishing date 2021-03-25
    Publishing country Netherlands
    Document type Journal Article ; Comment
    ZDB-ID 2851331-9
    ISSN 2352-3964
    ISSN (online) 2352-3964
    DOI 10.1016/j.ebiom.2021.103285
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 7090: Show issues Location:
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  2. Article ; Online: How to predict the prognosis in juvenile-onset SLE?

    Hiroyasu Yamamoto

    EBioMedicine, Vol 66, Iss , Pp 103285- (2021)

    2021  

    Keywords Medicine ; R ; Medicine (General) ; R5-920
    Language English
    Publishing date 2021-04-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article: Self-incompatibility phenotypes of SRK mutants can be predicted with high accuracy.

    Yamamoto, Masaya / Ohtake, Shotaro / Shinosawa, Akihisa / Shirota, Matsuyuki / Mitsui, Yuki / Kitashiba, Hiroyasu

    bioRxiv : the preprint server for biology

    2024  

    Abstract: Only very limited information is available on why some non-synonymous variants severely alter gene function while others have no effect. To identify the characteristic features of mutations that strongly influence gene function, this study focused ... ...

    Abstract Only very limited information is available on why some non-synonymous variants severely alter gene function while others have no effect. To identify the characteristic features of mutations that strongly influence gene function, this study focused on
    Language English
    Publishing date 2024-04-11
    Publishing country United States
    Document type Preprint
    DOI 10.1101/2024.04.10.588956
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Anti-Lipoprotein Lipase Antibody as a Useful Marker for Plaque Vulnerability in Patients with Stable Angina.

    Yoshinaga, Miyu / Yuasa, Eika / Matsuoka, Tetsuro / Kihara, Shinji / Yamamoto, Hiroyasu

    Journal of atherosclerosis and thrombosis

    2024  

    Abstract: Aims: Identifying patients with vulnerable plaque who have poor prognosis among those with coronary artery disease (CAD) is crucial to deciding future therapeutic interventions. We previously reported that male CAD patients with low anti-apolipoprotein ... ...

    Abstract Aims: Identifying patients with vulnerable plaque who have poor prognosis among those with coronary artery disease (CAD) is crucial to deciding future therapeutic interventions. We previously reported that male CAD patients with low anti-apolipoprotein B-100 autoantibody (anti-apoB-100 Ab) levels were at an increased risk of developing unstable plaque lesions. This study focused on the autoantibodies against lipoprotein lipase (LPL), a key enzyme in triglyceride metabolism, which is another risk factor for atherosclerosis, and investigated their association with plaque characteristics.
    Methods: We measured serum anti-LPL Ab levels using a homemade enzyme-linked immunosorbent assay in 80 male CAD patients. Coronary plaque properties were evaluated using iMAP®-intravascular ultrasound.
    Results: Serum anti-LPL Ab levels were not correlated with plaque burden but were significantly negatively and positively correlated with fibrotic and necrotic plaques, respectively. High-risk patients with low anti-apoB-100 Ab levels were divided into groups according to their anti-LPL Ab levels. The group with high anti-LPL Ab levels exhibited more necrotic plaques and fewer fibrotic plaques as well as higher remnant-like lipoprotein particle levels than the group with low anti-LPL Ab levels.
    Conclusions: Serum anti-LPL Ab levels can serve as a marker of plaque instability in CAD patients and can help identify higher-risk cases when combined with anti-apoB-100 Ab levels.
    Language English
    Publishing date 2024-02-06
    Publishing country Japan
    Document type Journal Article
    ZDB-ID 2011474-6
    ISSN 1880-3873 ; 1340-3478
    ISSN (online) 1880-3873
    ISSN 1340-3478
    DOI 10.5551/jat.64528
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 5192: Show issues Location:
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  5. Article ; Online: Dynamic behaviours of epoxy resin thin films during the curing process.

    Hoshino, Taiki / Okamoto, Yasushi / Yamamoto, Atsushi / Masunaga, Hiroyasu

    Soft matter

    2023  Volume 19, Issue 18, Page(s) 3267–3272

    Abstract: Epoxy resin thin films are widely used in applications such as coating materials, insulator films, and adhesives; accordingly, investigations of their physical properties have garnered increasing importance. Although the physical properties of thermoset ... ...

    Abstract Epoxy resin thin films are widely used in applications such as coating materials, insulator films, and adhesives; accordingly, investigations of their physical properties have garnered increasing importance. Although the physical properties of thermoset epoxy thin films are strongly affected by the curing conditions, such as the heating temperature and curing time, the dynamic properties during the curing process have not been studied thoroughly. In this study, we investigated the thermal fluctuations on the surface of epoxy resin thin films using grazing-incidence X-ray photon correlation spectroscopy, to elucidate the dynamic behaviours during the curing process. We thus succeeded in observing the freezing of capillary waves during the thermal curing process. These results are expected to facilitate a deeper understanding of the curing mechanisms of various thin films.
    Language English
    Publishing date 2023-05-10
    Publishing country England
    Document type Journal Article
    ZDB-ID 2191476-X
    ISSN 1744-6848 ; 1744-683X
    ISSN (online) 1744-6848
    ISSN 1744-683X
    DOI 10.1039/d2sm01500e
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: S

    Yamamoto, Masaya / Ishii, Tomoko / Ogura, Marina / Akanuma, Takashi / Zhu, Xing-Yu / Kitashiba, Hiroyasu

    Breeding science

    2023  Volume 73, Issue 2, Page(s) 132–145

    Abstract: Self-incompatibility is the system that inhibits pollen germination and pollen tube growth by self-pollen. This trait is important for the breeding ... ...

    Abstract Self-incompatibility is the system that inhibits pollen germination and pollen tube growth by self-pollen. This trait is important for the breeding of
    Language English
    Publishing date 2023-05-17
    Publishing country Japan
    Document type Journal Article
    ZDB-ID 1190370-3
    ISSN 1344-7610 ; 0536-3683
    ISSN 1344-7610 ; 0536-3683
    DOI 10.1270/jsbbs.22091
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Z 3018: Show issues

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  7. Article ; Online: Introduction.

    Koike, Junki / Yamamoto, Hiroyasu

    Nephrology (Carlton, Vic.)

    2018  Volume 23 Suppl 2, Page(s) 3

    Language English
    Publishing date 2018-07-03
    Publishing country Australia
    Document type Journal Article
    ZDB-ID 1303661-0
    ISSN 1440-1797 ; 1320-5358
    ISSN (online) 1440-1797
    ISSN 1320-5358
    DOI 10.1111/nep.13402
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    Zs.A 4822: Show issues Location:
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  8. Article ; Online: Building a machine-learning model to predict optimal mevalonate pathway gene expression levels for efficient production of a carotenoid in yeast.

    Shimazaki, Shun / Yamada, Ryosuke / Yamamoto, Yoshiki / Matsumoto, Takuya / Ogino, Hiroyasu

    Biotechnology journal

    2023  Volume 19, Issue 1, Page(s) e2300285

    Abstract: Simultaneous modification of the expression levels of many metabolic enzyme genes results in diverse expression ratios of these genes; however, the relationship between gene expression levels and chemical productivity remains unclear. However, ... ...

    Abstract Simultaneous modification of the expression levels of many metabolic enzyme genes results in diverse expression ratios of these genes; however, the relationship between gene expression levels and chemical productivity remains unclear. However, clarification of this relationship is expected to improve the productivity of useful chemicals. Supervised machine learning is considered to be an effective means to clarify this relationship. In this study, to improve the productivity of carotenoids in yeast Saccharomyces cerevisiae, we aimed to build a machine-learning model that can predict the optimal gene expression level for carotenoid production. First, we obtained data on the expression levels of mevalonate pathway enzyme genes and carotenoid production. Then, based on these data, we built a machine-learning model to predict carotenoid productivity based on gene expression levels. The prediction accuracy of 0.6292 (coefficient of determination) was achieved using the test data. The maximum predicted carotenoid productivity was 4.3 times higher in the engineered strain than in the parental strain, suggesting that the expression levels of the mevalonate pathway enzyme genes tHMG1 and ERG8 have a particularly large impact on carotenoid productivity. This study could be one of the important achievements in addressing the uncertainty of genotype-phenotype correlations, which is one of the challenges facing metabolic engineering strategies.
    MeSH term(s) Saccharomyces cerevisiae/metabolism ; Mevalonic Acid/metabolism ; Carotenoids/metabolism ; Metabolic Engineering/methods ; Gene Expression ; Machine Learning
    Chemical Substances Mevalonic Acid (S5UOB36OCZ) ; Carotenoids (36-88-4)
    Language English
    Publishing date 2023-11-27
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 2221885-3
    ISSN 1860-7314 ; 1860-6768
    ISSN (online) 1860-7314
    ISSN 1860-6768
    DOI 10.1002/biot.202300285
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    Zs.A 6349: Show issues Location:
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  9. Article ; Online: Generation of Arabidopsis thaliana transformants showing the self-recognition activity of Brassica rapa.

    Yamamoto, Masaya / Kitashiba, Hiroyasu / Nishio, Takeshi

    The Plant journal : for cell and molecular biology

    2022  Volume 111, Issue 2, Page(s) 496–507

    Abstract: Self-incompatibility in the Brassicaceae family is governed by SRK and SCR, which are two highly polymorphic genes located at the S-locus. Previously, the Arabidopsis lyrata SRK and SCR genes were introduced into Arabidopsis thaliana to generate self- ... ...

    Abstract Self-incompatibility in the Brassicaceae family is governed by SRK and SCR, which are two highly polymorphic genes located at the S-locus. Previously, the Arabidopsis lyrata SRK and SCR genes were introduced into Arabidopsis thaliana to generate self-incompatible lines. However, there are no reports showing that Brassica SRK and SCR genes confer self-incompatibility in A. thaliana. Doing so would further advance the mechanistic understanding of self-incompatibility in Brassicaceae. Therefore, we attempted to generate A. thaliana transformants showing the self-recognition activity of Brassica rapa by introducing BrSCR along with a chimeric BrSRK (BrSRK chimera, in which the kinase domain of BrSRK was replaced with that of AlSKR-b). We found that the BrSRK chimera and BrSCR of B. rapa S-9 and S-46 haplotypes, but not those of S-29, S-44, and S-60 haplotypes, conferred self-recognition activity in A. thaliana. Analyses of A. thaliana transformants expressing mutant variants of the BrSRK-9 chimera and BrSCR-9 revealed that mutations at the amino acid residues involved in BrSRK9-BrSCR9 interaction caused defects in the self-incompatibility response. The method developed in this study for generating self-incompatible A. thaliana transformants showing B. rapa self-recognition activity will be useful for analysis of self-recognition mechanisms in Brassicaceae.
    MeSH term(s) Arabidopsis/metabolism ; Arabidopsis Proteins/genetics ; Arabidopsis Proteins/metabolism ; Brassica/genetics ; Brassica/metabolism ; Brassica rapa/genetics ; Brassica rapa/metabolism ; Haplotypes ; Plant Proteins/genetics ; Plant Proteins/metabolism
    Chemical Substances Arabidopsis Proteins ; Plant Proteins
    Language English
    Publishing date 2022-05-23
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1088037-9
    ISSN 1365-313X ; 0960-7412
    ISSN (online) 1365-313X
    ISSN 0960-7412
    DOI 10.1111/tpj.15811
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    Z 6071: Show issues

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  10. Article: [Kidney diseases and metabolic disorders--Basics and applications required for general physicians. Topics: VIII. Anemia and iron metabolism in chronic kidney disease].

    Yamamoto, Hiroyasu

    Nihon Naika Gakkai zasshi. The Journal of the Japanese Society of Internal Medicine

    2015  Volume 104, Issue 5, Page(s) 960–966

    MeSH term(s) Anemia/metabolism ; Animals ; General Practitioners ; Humans ; Iron/metabolism ; Metabolic Diseases/metabolism ; Practice Guidelines as Topic ; Renal Insufficiency, Chronic/diagnosis ; Renal Insufficiency, Chronic/metabolism
    Chemical Substances Iron (E1UOL152H7)
    Language Japanese
    Publishing date 2015-10-25
    Publishing country Japan
    Document type Journal Article ; Review
    ZDB-ID 952816-7
    ISSN 1883-2083 ; 0021-5384
    ISSN (online) 1883-2083
    ISSN 0021-5384
    DOI 10.2169/naika.104.960
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