公开(公告)号：EP2931923A1

公开(公告)日：2015-10-21

申请号：EP13863263.3

申请日：2013-12-13

申请人： Baylor Research Institute ,  Medical Research Council ,  Imperial College Healthcare NHS Trust

发明人： O'GARRA, Anne ,  BLOOM, Chloe ,  BERRY, Matthew, Paul Reddoch ,  BANCHEREAU, Jacques, F. ,  CHAUSSABEL, Damien ,  PASCUAL, Maria, Virginia

IPC分类号： C12Q1/68

CPC分类号： C12Q1/6883 ,  C12Q1/6886 ,  C12Q2600/106 ,  C12Q2600/112 ,  C12Q2600/118 ,  C12Q2600/158 ,  C12Q2600/16

摘要： The present invention includes a method of determining a lung disease from a patient suspected of sarcoidosis, tuberculosis, lung cancer or pneumonia comprising: obtaining a sample from whole blood of the patient suspected of sarcoidosis, tuberculosis, lung cancer or pneumonia; detecting expression of (although not exclusive) six or more disease genes, markers, or probes selected from SEQ ID NOS.: 1 to 1446, wherein increased expression of mRNA of upregulated sarcoidosis, tuberculosis, lung cancer and pneumonia markers of SEQ ID NOS.: 1 to 1446 and/or decreased expression of mRNA of downregulated sarcoidosis, tuberculosis, lung cancer or pneumonia markers of SEQ ID NOS.: 1 to 1446 relative to the expression of the mRNAs from a normal sample; and determining the lung disease based on the expression level of the six or more disease markers of SEQ ID NOS.: 1 to 1446 based on a comparison of the expression level of sarcoidosis, tuberculosis, lung cancer, and pneumonia.

公开(公告)号：EP2825671A1

公开(公告)日：2015-01-21

申请号：EP13761285.9

申请日：2013-03-13

申请人： Baylor Research Institute ,  Medical Research Council ,  Imperial College Healthcare NHS Trust

发明人： O'GARRA, Anne ,  BLOOM, Chloe ,  BERRY, Matthew, Paul Reddoch ,  WILKINSON, Robert ,  BANCHEREAU, Jacques, F. ,  CHAUSSABEL, Damien ,  PASCUAL, Maria, Virginia

IPC分类号： C12Q1/68 ,  G01N33/48 ,  G01N33/68

CPC分类号： C12Q1/6883 ,  A61K31/133 ,  A61K31/455 ,  A61K31/496 ,  A61K31/4965 ,  C12Q1/68 ,  C12Q2600/118 ,  C12Q2600/158 ,  G01N33/48 ,  G01N33/68 ,  G01N33/6893 ,  G01N2333/35 ,  G01N2800/26 ,  G01N2800/52

摘要： The present invention includes methods for early detection of a treatment response in a patient suspected of being infected with
Mycobacterium tuberculosis . Changes in the blood transcriptome are detectable within two weeks of the initiation of antituberculosis therapy.

公开(公告)号：EP2519652A2

公开(公告)日：2012-11-07

申请号：EP10833713.0

申请日：2010-08-19

申请人： Baylor Research Institute ,  Medical Research Council ,  Imperial College Healthcare NHS Trust

发明人： BANCHEREAU, Jacques, F. ,  CHAUSSABEL, Damien ,  O'GARRA, Anne ,  BERRY, Matthew ,  KON, Onn Min

IPC分类号： C12Q1/68 ,  C12N15/31 ,  G01N33/15 ,  C12R1/32

CPC分类号： C12Q1/689 ,  C12Q1/6883 ,  C12Q2600/106 ,  C12Q2600/112 ,  C12Q2600/158

摘要： The present invention includes methods, systems and kits for distinguishing between active and latent mycobacterium tuberculosis infection in a patient suspected of being infected with Mycobacterium tuberculosis, the method including the steps of obtaining a patient gene expression dataset from a patient suspected of being infected with Mycobacterium tuberculosis; sorting the patient gene expression dataset into one or more gene modules associated with Mycobacterium tuberculosis infection; and comparing the patient gene expression dataset for each of the one or more gene modules to a gene expression dataset from a non-patient; wherein an increase or decrease in the totality of gene expression in the patient gene expression dataset for the one or more gene modules is indicative of active Mycobacterium tuberculosis infection.

公开(公告)号：EP2300823A2

公开(公告)日：2011-03-30

申请号：EP09771053.7

申请日：2009-06-25

申请人： Baylor Research Institute ,  The National Institute For Medical Research ,  Imperial College Healthcare NHS Trust

发明人： BANCHEREAU, Jacques, F. ,  CHAUSSABEL, Damien ,  O'GARRA, Anne ,  BERRY, Matthew ,  KON, Onn, Min

IPC分类号： G01N33/50 ,  G01N33/53 ,  C12Q1/00

CPC分类号： G01N33/5695 ,  C12Q1/6883 ,  C12Q2600/112 ,  C12Q2600/158 ,  G01N2800/60

摘要： The present invention includes methods, systems and kits for distinguishing between active and latent mycobacterium tuberculosis infection in a patient suspected of being infected with mycobacterium tuberculosis, and distinguishing such patients from uninfected individuals, the method including the steps of obtaining a gene expression dataset from a whole blood obtained sample from the patient and determining the differential expression of one or more transcriptional gene expression modules that distinguish between infected and non-infected patients, wherein the dataset demonstrates an aggregate change in the levels of polynucleotides in the one or more transcriptional gene expression modules as compared to matched non- infected patients, thereby distinguishing between active and latent mycobacterium tuberculosis infection.