JP5393798B2 - リポタンパク質インスリン抵抗性指数、ならびに同一物を生成するための関連する方法、システムおよびコンピュータプログラム - Google Patents

リポタンパク質インスリン抵抗性指数、ならびに同一物を生成するための関連する方法、システムおよびコンピュータプログラム Download PDF

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JP5393798B2
JP5393798B2 JP2011532094A JP2011532094A JP5393798B2 JP 5393798 B2 JP5393798 B2 JP 5393798B2 JP 2011532094 A JP2011532094 A JP 2011532094A JP 2011532094 A JP2011532094 A JP 2011532094A JP 5393798 B2 JP5393798 B2 JP 5393798B2
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lipoprotein
insulin resistance
risk
score
sample
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オトヴォス，ジェイムズ・ディー
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Liposcience Inc
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R33/00—Arrangements or instruments for measuring magnetic variables
    • G01R33/20—Arrangements or instruments for measuring magnetic variables involving magnetic resonance
    • G01R33/44—Arrangements or instruments for measuring magnetic variables involving magnetic resonance using nuclear magnetic resonance [NMR]
    • G01R33/46—NMR spectroscopy
    • G01R33/465—NMR spectroscopy applied to biological material, e.g. in vitro testing
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10—TECHNICAL SUBJECTS COVERED BY FORMER USPC
    • Y10T—TECHNICAL SUBJECTS COVERED BY FORMER US CLASSIFICATION
    • Y10T436/00—Chemistry: analytical and immunological testing
    • Y10T436/10—Composition for standardization, calibration, simulation, stabilization, preparation or preservation; processes of use in preparation for chemical testing
    • Y10T436/104165—Lipid, cholesterol, or triglyceride standard or control
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10—TECHNICAL SUBJECTS COVERED BY FORMER USPC
    • Y10T—TECHNICAL SUBJECTS COVERED BY FORMER US CLASSIFICATION
    • Y10T436/00—Chemistry: analytical and immunological testing
    • Y10T436/24—Nuclear magnetic resonance, electron spin resonance or other spin effects or mass spectrometry

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  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • High Energy & Nuclear Physics (AREA)
  • Condensed Matter Physics & Semiconductors (AREA)
  • General Physics & Mathematics (AREA)
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JP2011532094A 2008-10-20 2009-10-20 リポタンパク質インスリン抵抗性指数、ならびに同一物を生成するための関連する方法、システムおよびコンピュータプログラム Active JP5393798B2 (ja)

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US10683308P 2008-10-20 2008-10-20
US61/106,833 2008-10-20
PCT/US2009/005689 WO2010047767A2 (en) 2008-10-20 2009-10-20 Lipoprotein insulin resistance indexes and related methods, systems and computer programs for generating same

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JP2012506051A JP2012506051A (ja) 2012-03-08
JP2012506051A5 JP2012506051A5 (https=) 2012-12-06
JP5393798B2 true JP5393798B2 (ja) 2014-01-22

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US (1) US8386187B2 (https=)
EP (2) EP2344890B1 (https=)
JP (1) JP5393798B2 (https=)
KR (1) KR20110086074A (https=)
AU (1) AU2009308124B2 (https=)
CA (1) CA2741034C (https=)
WO (1) WO2010047767A2 (https=)

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US9361429B2 (en) * 2012-06-08 2016-06-07 Liposcience, Inc. Multi-parameter diabetes risk evaluations
US9928345B2 (en) 2012-06-08 2018-03-27 Liposciences, Inc. Multiple-marker risk parameters predictive of conversion to diabetes
US9470771B2 (en) 2012-06-08 2016-10-18 Liposcience, Inc. NMR measurements of NMR biomarker GlycA
US9551768B2 (en) 2013-03-15 2017-01-24 East Carolina University NMR method for monitoring changes in the core of lipoprotein particles in metabolism and disease
CA2931648C (en) * 2014-01-06 2022-11-29 Liposcience, Inc. Multiple-marker risk parameters predictive of conversion to diabetes
KR102505543B1 (ko) 2014-03-28 2023-03-02 옵코 다이어그노스틱스, 엘엘씨 전립선암 진단에 관한 조성물 및 방법
US12326453B2 (en) 2014-03-28 2025-06-10 Opko Diagnostics, Llc Compositions and methods for active surveillance of prostate cancer
US9952232B2 (en) 2014-09-11 2018-04-24 Liposcience, Inc. Cardiovascular risk evaluations using a risk parameter that includes an HDL and inflammatory biomarker interaction parameter
WO2016123163A2 (en) 2015-01-27 2016-08-04 Kardiatonos, Inc. Biomarkers of vascular disease
PT3253800T (pt) 2015-03-27 2021-04-28 Opko Diagnostics Llc Padrões de antigénio da próstata e suas utilizações
KR102539142B1 (ko) 2016-09-05 2023-06-01 삼성전자주식회사 스펙트럼 분석 장치와 방법, 및 혈당 측정 장치
US10775458B2 (en) 2018-03-05 2020-09-15 Texas Tech University System Method and system for non-invasive measurement of metabolic health
US12289368B2 (en) * 2020-10-29 2025-04-29 Telefonaktiebolaget Lm Ericsson (Publ) Checking state consistency in a log replication configuration
CN113117241B (zh) * 2021-04-15 2022-01-28 中国科学院合肥物质科学研究院 一种提高胰岛素水平和敏感性的磁场发生装置及其应用
CN115188493A (zh) * 2022-07-13 2022-10-14 天津市人民医院 一种胰岛素抵抗预测模型的构建系统、方法及应用
WO2024097429A1 (en) * 2022-11-05 2024-05-10 Texas Tech University System Methods and tools for assessing cardiometabolic health and hidden disease risk among apparently healthy individuals
CN120613144B (zh) * 2025-05-27 2026-02-03 中国科学院精密测量科学与技术创新研究院 一种基于血液nmr编辑谱的药物敏感度预测方法
CN120280166A (zh) * 2025-06-10 2025-07-08 南昌大学第二附属医院 术后胰岛素抵抗风险预测模型的构建方法及系统

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Publication number Publication date
WO2010047767A2 (en) 2010-04-29
US8386187B2 (en) 2013-02-26
WO2010047767A3 (en) 2010-08-26
CA2741034A1 (en) 2010-04-29
US20100100334A1 (en) 2010-04-22
CA2741034C (en) 2021-06-22
EP2344890A2 (en) 2011-07-20
EP2344890A4 (en) 2012-12-26
EP2344890B1 (en) 2021-08-11
EP4016105A1 (en) 2022-06-22
KR20110086074A (ko) 2011-07-27
AU2009308124A1 (en) 2010-04-29
JP2012506051A (ja) 2012-03-08
AU2009308124B2 (en) 2014-12-11

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