Expressionsanalysen bei der rheumatoiden Arthritis : Rheumapathologie
Identifieur interne : 000855 ( PascalFrancis/Corpus ); précédent : 000854; suivant : 000856Expressionsanalysen bei der rheumatoiden Arthritis : Rheumapathologie
Auteurs : R. Guenther ; V. Krenn ; T. H UplSource :
- Zeitschrift für Rheumatologie : (Print) [ 0340-1855 ] ; 2008.
Descripteurs français
- Pascal (Inist)
English descriptors
Abstract
Inflammatory rheumatic diseases with their unclear aetiology are a challenge for the routine clinical practice. The dominating inflammatory processes with many facets of autoimmune phenomena have been extensively studied during the last decades. Modern high throughput technologies provide for the first time the opportunity to obtain an insight into the many different molecular aspects in one patient in parallel. Step by step, concepts can be developed to understand the relationships and interdependencies of the molecular processes and to place them in order of importance for each individual separately. Thus, studies have demonstrated that the risk of disease severity can be estimated and the response to therapy can be objectified based on molecular investigations. Exemplarily, the potential has been demonstrated that the therapeutic outcome towards a defined treatment may be predicted. Despite the high cost, it is becoming more and more obvious that an extensive increase of knowledge depends on the detection of a multitude of parameters, a task which will need to be accomplished in the near future.
Notice en format standard (ISO 2709)
Pour connaître la documentation sur le format Inist Standard.
pA |
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Format Inist (serveur)
NO : | PASCAL 08-0124913 INIST |
---|---|
ET : | (Expression analyses for rheumatoid arthritis) |
GT : | Expressionsanalysen bei der rheumatoiden Arthritis : Rheumapathologie |
AU : | GUENTHER (R.); KRENN (V.); HÄUPL (T.) |
AF : | Institut für Pathologie, Charité Universitätsmedizin Berlin/Allemagne (1 aut.); Institut für Pathologie/Trier/Allemagne (2 aut.); Medizinische Klinik mit Schwerpunkt Rheumatologie und Klinische Immunologie, Charité Universitätsmedizin Berlin/Allemagne (3 aut.) |
DT : | Publication en série; Niveau analytique |
SO : | Zeitschrift für Rheumatologie : (Print); ISSN 0340-1855; Coden ZRHMBQ; Allemagne; Da. 2008; Vol. 67; No. 1; 17-24 [7 p.]; Abs. anglais; Bibl. 43 ref. |
LA : | Allemand |
EA : | Inflammatory rheumatic diseases with their unclear aetiology are a challenge for the routine clinical practice. The dominating inflammatory processes with many facets of autoimmune phenomena have been extensively studied during the last decades. Modern high throughput technologies provide for the first time the opportunity to obtain an insight into the many different molecular aspects in one patient in parallel. Step by step, concepts can be developed to understand the relationships and interdependencies of the molecular processes and to place them in order of importance for each individual separately. Thus, studies have demonstrated that the risk of disease severity can be estimated and the response to therapy can be objectified based on molecular investigations. Exemplarily, the potential has been demonstrated that the therapeutic outcome towards a defined treatment may be predicted. Despite the high cost, it is becoming more and more obvious that an extensive increase of knowledge depends on the detection of a multitude of parameters, a task which will need to be accomplished in the near future. |
CC : | 002B15D |
FD : | Polyarthrite rhumatoïde; Synovite; Echelle d'évaluation; Expression génique; Chronique |
FG : | Maladie autoimmune; Rhumatisme inflammatoire; Pathologie du système ostéoarticulaire; Immunopathologie |
ED : | Rheumatoid arthritis; Synovitis; Evaluation scale; Gene expression; Chronic |
EG : | Autoimmune disease; Inflammatory joint disease; Diseases of the osteoarticular system; Immunopathology |
SD : | Poliartritis reumatoidea; Sinovitis; Escala evaluación; Expresión genética; Crónico |
LO : | INIST-6410.354000161940870020 |
ID : | 08-0124913 |
Links to Exploration step
Pascal:08-0124913Le document en format XML
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<front><div type="abstract" xml:lang="en">Inflammatory rheumatic diseases with their unclear aetiology are a challenge for the routine clinical practice. The dominating inflammatory processes with many facets of autoimmune phenomena have been extensively studied during the last decades. Modern high throughput technologies provide for the first time the opportunity to obtain an insight into the many different molecular aspects in one patient in parallel. Step by step, concepts can be developed to understand the relationships and interdependencies of the molecular processes and to place them in order of importance for each individual separately. Thus, studies have demonstrated that the risk of disease severity can be estimated and the response to therapy can be objectified based on molecular investigations. Exemplarily, the potential has been demonstrated that the therapeutic outcome towards a defined treatment may be predicted. Despite the high cost, it is becoming more and more obvious that an extensive increase of knowledge depends on the detection of a multitude of parameters, a task which will need to be accomplished in the near future.</div>
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<AU>GUENTHER (R.); KRENN (V.); HÄUPL (T.)</AU>
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<EA>Inflammatory rheumatic diseases with their unclear aetiology are a challenge for the routine clinical practice. The dominating inflammatory processes with many facets of autoimmune phenomena have been extensively studied during the last decades. Modern high throughput technologies provide for the first time the opportunity to obtain an insight into the many different molecular aspects in one patient in parallel. Step by step, concepts can be developed to understand the relationships and interdependencies of the molecular processes and to place them in order of importance for each individual separately. Thus, studies have demonstrated that the risk of disease severity can be estimated and the response to therapy can be objectified based on molecular investigations. Exemplarily, the potential has been demonstrated that the therapeutic outcome towards a defined treatment may be predicted. Despite the high cost, it is becoming more and more obvious that an extensive increase of knowledge depends on the detection of a multitude of parameters, a task which will need to be accomplished in the near future.</EA>
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