ES2524669T3 - Biomarcadores y procedimientos de diagnóstico, predicción y/o pronóstico de septicemia y usos de los mismos - Google Patents

Biomarcadores y procedimientos de diagnóstico, predicción y/o pronóstico de septicemia y usos de los mismos Download PDF

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ES2524669T3
ES2524669T3 ES08850110.1T ES08850110T ES2524669T3 ES 2524669 T3 ES2524669 T3 ES 2524669T3 ES 08850110 T ES08850110 T ES 08850110T ES 2524669 T3 ES2524669 T3 ES 2524669T3
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pro
hepcidin
septicemia
sepsis
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Koen Kas
Griet Vanpoucke
Sven Degroeve
Kathleen Huijben
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Biocartis NV
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/48Biological material, e.g. blood, urine; Haemocytometers
    • G01N33/50Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
    • G01N33/68Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving proteins, peptides or amino acids
    • G01N33/6893Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving proteins, peptides or amino acids related to diseases not provided for elsewhere
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61PSPECIFIC THERAPEUTIC ACTIVITY OF CHEMICAL COMPOUNDS OR MEDICINAL PREPARATIONS
    • A61P5/00Drugs for disorders of the endocrine system
    • CCHEMISTRY; METALLURGY
    • C07ORGANIC CHEMISTRY
    • C07KPEPTIDES
    • C07K17/00Carrier-bound or immobilised peptides; Preparation thereof
    • C07K17/02Peptides being immobilised on, or in, an organic carrier
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2800/00Detection or diagnosis of diseases
    • G01N2800/26Infectious diseases, e.g. generalised sepsis
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2800/00Detection or diagnosis of diseases
    • G01N2800/50Determining the risk of developing a disease
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2800/00Detection or diagnosis of diseases
    • G01N2800/52Predicting or monitoring the response to treatment, e.g. for selection of therapy based on assay results in personalised medicine; Prognosis

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  • Life Sciences & Earth Sciences (AREA)
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  • Proteomics, Peptides & Aminoacids (AREA)
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Abstract

Un procedimiento para el diagnóstico de septicemia en un sujeto o de distinción entre una afección de septicemia y SRIS en un sujeto que comprende: (a) medir el nivel de pro-hepcidina (pro-HEPC) en una muestra de sangre tomada de dicho sujeto; y (b) comparar dicho nivel de pro-5 hepcidina (pro-HEPC) con un nivel de referencia de pro-hepcidina (pro-HEPC) obtenido de un paciente que tiene septicemia, SIRS o de un sujeto sano, por medio de lo que un incremento de la cantidad de pro-hepcidina en la muestra a un nivel más alto que el intervalo de un valor normal de pro-hepcidina es indicativo de septicemia, o por medio de lo que una cantidad comparable de pro-hepcidina en dicha muestra al intervalo de los valores de pro-hepcidina en sujetos con septicemia es indicativo de septicemia.

Description

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E08850110
24-11-2014
Tabla 3: Conjunto de datos de las medidas de ELISA (conc. en ng/ml)
Marcador
PCT CRP sTNFR2 PTX-3 M-CSF Pro-HEPC pro-BNP
Paciente
Clase X4 X2 X5 X3 X1
HGE67
SEPTICEMIA 128,5 369 12,25 54,015 5,91 52,62 9,84
UGE22
SEPTICEMIA 226,1 224 9,59 72,085 2,727 138,19 18,21
HGE74
SEPTICEMIA 5,2 335 6,82 17,937 2,022 73,9 3,86
UGE41
SEPTICEMIA 4,5 347 7,89 15,945 3,62 105,78 5,71
UGE10
SEPTICEMIA 27,37 197 11,1 26,519 1,17 133,27 21,46
UGE14
SEPTICEMIA 51,00 297 9,96 53,807 5,69 155,26 9,13
UGE50
SEPTICEMIA 23,43 288 15,74 40,763 * 62,32 0,00
HGE73
SEPTICEMIA 46,70 225 4,3 16,94 1,19 82,69 4,68
UGE45
SEPTICEMIA 9,33 247 5,22 49,435 1,11 114,36 4,71
HGE63
SEPTICEMIA 46,76 257 12,66 68,764 * 153,57 0,00
HGE81
SEPTICEMIA 11,73 373 6,24 108,419 2,07 52,01 8,79
UGE12
SRIS 2,46 174 2,54 7,012 0,91 114,81 2,71
UGE17
SRIS 1,41 177 1,72 6,837 * 173,35 0,00
UGE20
SRIS 9,62 280 2,16 3,007 0,644 220,93 1,78
UGE32
SRIS 24,86 286 5,34 17,158 0,844 149,96 2,47
UGE40
SRIS 1,10 155 9,44 13,575 2,006 85,1 5,42
UGE42
SRIS 1,39 328 3,44 7,476 0,621 186,43 4,20
UGE46
SRIS 2,99 412 6,15 12,197 3,91 203,89 2,93
UGE53
SRIS 7,30 108 2,83 5,366 0,64 182,65 4,84
UGE60
SRIS 0,21 208 2,63 6,953 1,35 95,13 2,07
* Los datos de MCF ausentes se incluyen por media de columna.
Los presentes inventores predijeron la capacidad de los diferentes biomarcadores, tanto solos como en combinación, para diferenciar entre muestras de sangre obtenidas de pacientes que tienen SRIS o septicemia. Los resultados se facilitan en las Figuras 6-12. Las representaciones muestran medidas de ELISA para PCT, CRP, pro-hepcidina, M-CSF,
5 proBNP, TNRF2 y PTX3 (en ese orden). Los rectángulos representan septicemia, los triángulos representan SRIS. La línea negra muestra el umbral óptimo calculado a partir de todos los pacientes usando entropía.
Para predecir la potencia diferenciadora de los marcadores, los presentes inventores usaron un clasificador lineal simple inducido a partir de los datos usando solo una proteína. Los árboles de decisión representan un enfoque supervisado a la clasificación. Un árbol de decisión es una estructura simple en la que nodos no terminales representan pruebas en uno o 10 más atributos y nodos terminales reflejan resultados de decisión. J.R. Quinlan ha popularizado el enfoque de árboles de decisión con esta investigación que abarca más de 15 años. La implementación del dominio público más reciente del modelo de Quinlan es C4.5. El paquete de clasificador de Weka tiene su propia versión de C4.5 conocido como J48. El programa 1R es normal en la mayoría de los sentidos. Clasifica atributos según la tasa de errores (en el conjunto de entrenamiento), a diferencia de la medida basada en entropía usada en C4. Trata todos los atributos numéricamente
15 evaluados como continuos y usa un procedimiento directo para dividir el intervalo de valores en varios intervalos disjuntos. Manipula valores ausentes tratando “ausente” como un valor legítimo.
Como se ha explicado anteriormente, los presentes inventores pueden calcular el error de generalización de tal clasificador usando LOO:
20
imagen19

Claims (1)

  1. imagen1
ES08850110.1T 2007-11-16 2008-11-12 Biomarcadores y procedimientos de diagnóstico, predicción y/o pronóstico de septicemia y usos de los mismos Active ES2524669T3 (es)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
EP07120929 2007-11-16
EP07120929 2007-11-16
PCT/EP2008/065364 WO2009062948A1 (en) 2007-11-16 2008-11-12 Biomarkers and methods for diagnosing, predicting and/or prognosing sepsis and uses thereof

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ES2524669T3 true ES2524669T3 (es) 2014-12-10

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ES08850110.1T Active ES2524669T3 (es) 2007-11-16 2008-11-12 Biomarcadores y procedimientos de diagnóstico, predicción y/o pronóstico de septicemia y usos de los mismos

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EP3384939A1 (en) 2011-03-11 2018-10-10 Vib Vzw Molecules and methods for inhibition and detection of proteins
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WO2015007326A1 (en) 2013-07-18 2015-01-22 Institut D'investigació Biomèdica De Bellvitge (Idibell) Agents comprising a terminal alpha-galactosyl moiety for use in prevention and/or treatment of inflammatory diseases
WO2016128383A1 (en) 2015-02-10 2016-08-18 B.R.A.H.M.S Gmbh Free histone proteins as biomarkers
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JP7173495B2 (ja) * 2016-11-04 2022-11-16 セントロ デ インベスティガシオン ビオメディカ エン レッド 敗血症又は敗血症性ショック(ss)患者に由来する血漿中の循環ヒストンh3及びh2bを検出する質量分析ベースの方法
WO2018118691A1 (en) 2016-12-19 2018-06-28 Indiana University Research & Technology Corporation Dna methylation in inflammatory disease
EP3631460B1 (en) 2017-05-31 2023-11-15 B.R.A.H.M.S GmbH Mmp-8 as a marker for identifying infectious disease
EP3438668A1 (en) 2017-08-04 2019-02-06 B.R.A.H.M.S GmbH Diagnosis and risk stratification of fungal infections
CN107688096A (zh) * 2017-08-19 2018-02-13 杭州飞悦生物技术有限公司 检测降钙素原的酶联免疫试剂盒及制备方法及检测方法
EP3971572A1 (en) 2017-09-13 2022-03-23 B.R.A.H.M.S GmbH Proadrenomedullin as a marker for abnormal platelet levels
CN117705713B (zh) * 2023-12-13 2024-06-11 上海长征医院 一种脓毒症检测系统

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EP2223119A1 (en) 2010-09-01
EP2230519A1 (en) 2010-09-22
EP2230519B1 (en) 2014-05-14
ES2486268T3 (es) 2014-08-18
EP2223119B1 (en) 2014-09-10
WO2009062948A1 (en) 2009-05-22

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