TY - JOUR
T1 - Pre-analytical considerations in biomarker research
T2 - Focus on cardiovascular disease
AU - Revuelta-López, Elena
AU - Barallat, Jaume
AU - Cserkoóvá, Adriana
AU - Gálvez-Montón, Carolina
AU - Jaffe, Allan S.
AU - Januzzi, James L.
AU - Bayes-Genis, Antoni
N1 - Publisher Copyright:
© 2021 Walter de Gruyter GmbH, Berlin/Boston.
PY - 2021/10/1
Y1 - 2021/10/1
N2 - Clinical biomarker research is growing at a fast pace, particularly in the cardiovascular field, due to the demanding requirement to provide personalized precision medicine. The lack of a distinct molecular signature for each cardiovascular derangement results in a one-size-fits-all diagnostic and therapeutic approach, which may partially explain suboptimal outcomes in heterogeneous cardiovascular diseases (e.g., heart failure with preserved ejection fraction). A multidimensional approach using different biomarkers is quickly evolving, but it is necessary to consider pre-analytical variables, those to which a biological sample is subject before being analyzed, namely sample collection, handling, processing, and storage. Pre-analytical errors can induce systematic bias and imprecision, which may compromise research results, and are easy to avoid with an adequate study design. Academic clinicians and investigators must be aware of the basic considerations for biospecimen management and essential pre-analytical recommendations as lynchpin for biological material to provide efficient and valid data.
AB - Clinical biomarker research is growing at a fast pace, particularly in the cardiovascular field, due to the demanding requirement to provide personalized precision medicine. The lack of a distinct molecular signature for each cardiovascular derangement results in a one-size-fits-all diagnostic and therapeutic approach, which may partially explain suboptimal outcomes in heterogeneous cardiovascular diseases (e.g., heart failure with preserved ejection fraction). A multidimensional approach using different biomarkers is quickly evolving, but it is necessary to consider pre-analytical variables, those to which a biological sample is subject before being analyzed, namely sample collection, handling, processing, and storage. Pre-analytical errors can induce systematic bias and imprecision, which may compromise research results, and are easy to avoid with an adequate study design. Academic clinicians and investigators must be aware of the basic considerations for biospecimen management and essential pre-analytical recommendations as lynchpin for biological material to provide efficient and valid data.
KW - biomarker
KW - blood handling
KW - hemolysis
KW - plasma
KW - serum
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U2 - 10.1515/cclm-2021-0377
DO - 10.1515/cclm-2021-0377
M3 - Review article
C2 - 34225398
AN - SCOPUS:85115846563
SN - 1434-6621
VL - 59
SP - 1747
EP - 1760
JO - Clinical Chemistry and Laboratory Medicine
JF - Clinical Chemistry and Laboratory Medicine
IS - 11
ER -