Precision Medicine for Neonatal Sepsis

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Precision Medicine for Neonatal Sepsis. / Ng, Sherrianne; Strunk, Tobias; Jiang, Pingping; Muk, Tik; Sangild, Per T; Currie, Andrew.

In: Frontiers in Molecular Biosciences, Vol. 5, 70, 2018.

Research output: Contribution to journalReviewResearchpeer-review

Harvard

Ng, S, Strunk, T, Jiang, P, Muk, T, Sangild, PT & Currie, A 2018, 'Precision Medicine for Neonatal Sepsis', Frontiers in Molecular Biosciences, vol. 5, 70. https://doi.org/10.3389/fmolb.2018.00070

APA

Ng, S., Strunk, T., Jiang, P., Muk, T., Sangild, P. T., & Currie, A. (2018). Precision Medicine for Neonatal Sepsis. Frontiers in Molecular Biosciences, 5, [70]. https://doi.org/10.3389/fmolb.2018.00070

Vancouver

Ng S, Strunk T, Jiang P, Muk T, Sangild PT, Currie A. Precision Medicine for Neonatal Sepsis. Frontiers in Molecular Biosciences. 2018;5. 70. https://doi.org/10.3389/fmolb.2018.00070

Author

Ng, Sherrianne ; Strunk, Tobias ; Jiang, Pingping ; Muk, Tik ; Sangild, Per T ; Currie, Andrew. / Precision Medicine for Neonatal Sepsis. In: Frontiers in Molecular Biosciences. 2018 ; Vol. 5.

Bibtex

@article{6ed18eca255a4d46aa11e04209829719,
title = "Precision Medicine for Neonatal Sepsis",
abstract = "Neonatal sepsis remains a significant cause of morbidity and mortality especially in the preterm infant population. The ability to promptly and accurately diagnose neonatal sepsis based on clinical evaluation and laboratory blood tests remains challenging. Advances in high-throughput molecular technologies have increased investigations into the utility of transcriptomic, proteomic and metabolomic approaches as diagnostic tools for neonatal sepsis. A systems-level understanding of neonatal sepsis, obtained by using omics-based technologies (at the transcriptome, proteome or metabolome level), may lead to new diagnostic tools for neonatal sepsis. In particular, recent omic-based studies have identified distinct transcriptional signatures and metabolic or proteomic biomarkers associated with sepsis. Despite the emerging need for a systems biology approach, future studies have to address the challenges of integrating multi-omic data with laboratory and clinical meta-data in order to translate outcomes into precision medicine for neonatal sepsis. Omics-based analytical approaches may advance diagnostic tools for neonatal sepsis. More research is needed to validate the recent systems biology findings in order to integrate multi-dimensional data (clinical, laboratory and multi-omic) for future translation into precision medicine for neonatal sepsis. This review will discuss the possible applications of omics-based analyses for identification of new biomarkers and diagnostic signatures for neonatal sepsis, focusing on the immune-compromised preterm infant and considerations for clinical translation.",
author = "Sherrianne Ng and Tobias Strunk and Pingping Jiang and Tik Muk and Sangild, {Per T} and Andrew Currie",
year = "2018",
doi = "10.3389/fmolb.2018.00070",
language = "English",
volume = "5",
journal = "Frontiers in Molecular Biosciences",
issn = "2296-889X",
publisher = "Frontiers Media",

}

RIS

TY - JOUR

T1 - Precision Medicine for Neonatal Sepsis

AU - Ng, Sherrianne

AU - Strunk, Tobias

AU - Jiang, Pingping

AU - Muk, Tik

AU - Sangild, Per T

AU - Currie, Andrew

PY - 2018

Y1 - 2018

N2 - Neonatal sepsis remains a significant cause of morbidity and mortality especially in the preterm infant population. The ability to promptly and accurately diagnose neonatal sepsis based on clinical evaluation and laboratory blood tests remains challenging. Advances in high-throughput molecular technologies have increased investigations into the utility of transcriptomic, proteomic and metabolomic approaches as diagnostic tools for neonatal sepsis. A systems-level understanding of neonatal sepsis, obtained by using omics-based technologies (at the transcriptome, proteome or metabolome level), may lead to new diagnostic tools for neonatal sepsis. In particular, recent omic-based studies have identified distinct transcriptional signatures and metabolic or proteomic biomarkers associated with sepsis. Despite the emerging need for a systems biology approach, future studies have to address the challenges of integrating multi-omic data with laboratory and clinical meta-data in order to translate outcomes into precision medicine for neonatal sepsis. Omics-based analytical approaches may advance diagnostic tools for neonatal sepsis. More research is needed to validate the recent systems biology findings in order to integrate multi-dimensional data (clinical, laboratory and multi-omic) for future translation into precision medicine for neonatal sepsis. This review will discuss the possible applications of omics-based analyses for identification of new biomarkers and diagnostic signatures for neonatal sepsis, focusing on the immune-compromised preterm infant and considerations for clinical translation.

AB - Neonatal sepsis remains a significant cause of morbidity and mortality especially in the preterm infant population. The ability to promptly and accurately diagnose neonatal sepsis based on clinical evaluation and laboratory blood tests remains challenging. Advances in high-throughput molecular technologies have increased investigations into the utility of transcriptomic, proteomic and metabolomic approaches as diagnostic tools for neonatal sepsis. A systems-level understanding of neonatal sepsis, obtained by using omics-based technologies (at the transcriptome, proteome or metabolome level), may lead to new diagnostic tools for neonatal sepsis. In particular, recent omic-based studies have identified distinct transcriptional signatures and metabolic or proteomic biomarkers associated with sepsis. Despite the emerging need for a systems biology approach, future studies have to address the challenges of integrating multi-omic data with laboratory and clinical meta-data in order to translate outcomes into precision medicine for neonatal sepsis. Omics-based analytical approaches may advance diagnostic tools for neonatal sepsis. More research is needed to validate the recent systems biology findings in order to integrate multi-dimensional data (clinical, laboratory and multi-omic) for future translation into precision medicine for neonatal sepsis. This review will discuss the possible applications of omics-based analyses for identification of new biomarkers and diagnostic signatures for neonatal sepsis, focusing on the immune-compromised preterm infant and considerations for clinical translation.

U2 - 10.3389/fmolb.2018.00070

DO - 10.3389/fmolb.2018.00070

M3 - Review

C2 - 30094238

VL - 5

JO - Frontiers in Molecular Biosciences

JF - Frontiers in Molecular Biosciences

SN - 2296-889X

M1 - 70

ER -

ID: 202976054