Global DNA Methylation in Neonatal Sepsis

Dhas, Benet Bosco; Antony, Hiasindh Ashmi; Bhat, Vishnu; Banupriya, Newton; Parija, Subhash Chandra

doi:10.1007/s12098-014-1574-5

Cited by 18 publications

(16 citation statements)

References 10 publications

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“…Sepsis is a major cause of mortality in ELBW neonates and has estimated cost, in the United States, of $700 million, and the treatment and long-term outcomes haven’t changed in decades (27, 28). The need for accurate and timelier diagnosis of sepsis is needed.…”

Section: Discussionmentioning

confidence: 99%

Heart rate variability analysis is more sensitive at identifying neonatal sepsis than conventional vital signs

Bohanon

Mrazek

Shabana

et al. 2015

The American Journal of Surgery

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Background Sepsis remains the largest preventable source of neonatal mortality in the world. Heart rate variability (HRV) analysis and noninvasive cardiac output, have been shown to be useful adjuncts to sepsis detection in many patient groups. Methods With IRB approval, 4 septic and 6 nonseptic ELBW patients were enrolled. Data from septic and healthy patients were collected for 5 hours. ECG waveform and traditional vital signs were collected and the RR intervals were calculated, then heart rate variability analysis was performed in both the time- and frequency-domain. Results HRV measurements in time-domain, HR, and Sp02 were significantly different in septic patients vs. nonseptic controls Conclusion These results indicate that nonconventional vital signs such as HRV are more sensitive than traditionally used vital signs, such as CO and MAP, in the confirmation of sepsis in ELBW neonates. HRV may allow for earlier identification of septic physiology.

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Section: Discussionmentioning

confidence: 99%

Heart rate variability analysis is more sensitive at identifying neonatal sepsis than conventional vital signs

Bohanon

Mrazek

Shabana

et al. 2015

The American Journal of Surgery

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“…DNA methylation, histone modifications, and altered levels of miRNAs have been observed in cells in endotoxemia and sepsis. The changes in gene expression associated with these modifications modulate responses that may lead to endotoxin tolerance, immunosuppression, and immunoparalysis and susceptibility to infections ( 142 – 152 ). DNA and histone methylation can silence genes encoding inflammatory mediators, anti-oxidants, and other factors that contribute to systemic inflammation ( 146 , 152 , 153 ).…”

Section: Overview Of the Presentationmentioning

confidence: 99%

“…The changes in gene expression associated with these modifications modulate responses that may lead to endotoxin tolerance, immunosuppression, and immunoparalysis and susceptibility to infections ( 142 – 152 ). DNA and histone methylation can silence genes encoding inflammatory mediators, anti-oxidants, and other factors that contribute to systemic inflammation ( 146 , 152 , 153 ). In contrast, DNA methylation at certain genes has been linked to excessive systemic inflammation ( 147 , 149 ).…”

Section: Overview Of the Presentationmentioning

confidence: 99%

The Surviving Sepsis Campaign: Basic/Translational Science Research Priorities*

Deutschman

Hellman

Ferrer

et al. 2020

Critical Care Medicine

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Objectives: Expound upon priorities for basic/translational science identified in a recent paper by a group of experts assigned by the Society of Critical Care Medicine and the European Society of Intensive Care Medicine. Data Sources: Original paper, search of the literature. Study Selection: By several members of the original task force with specific expertise in basic/translational science. Data Extraction: None. Data Synthesis: None. Conclusions: In the first of a series of follow-up reports to the original paper, several members of the original task force with specific expertise provided a more in-depth analysis of the five identified priorities directly related to basic/translational science. This analysis expounds on what is known about the question and what was identified as priorities for ongoing research. It is hoped that this analysis will aid the development of future research initiatives.

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“…A number of studies using DNA methylation as a biomarker in children have been completed (summarised in Supplementary Table 1). Included studies examine whether DNA methylation can predict disease severity [18][19][20][21][22][23][24][25][26], treatment response [27][28][29][30][31][32][33][34], or development of a complication [35][36][37][38][39][40][41].…”

Section: Evidence Reviewedmentioning

confidence: 99%

“…Using a logistic regression model, they found a weak association between methylation at a single CpG site and need for treatment with glucocorticosteroids (likelihood ratio 3.889, p = 0.0486). Dhas et al [37] investigated 51 newborns with sepsis which was defined as clinical features and presence of biochemical markers. They analysed global DNA methylation in whole blood and using independent samples t tests found those who developed renal failure as a complication of sepsis had slightly higher global methylation levels (2.88% vs. 2.39%, p = 0.02).…”

Section: Neonatologymentioning

confidence: 99%

DNA methylation biomarkers of future health outcomes in children

et al. 2020

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Biomarkers which predict future health outcomes are key to the goals of precision health. Such biomarkers do not have to be involved in the causal pathway of a disease, and their performance is best assessed using statistical tests of clinical performance and evaluation of net health impact. DNA methylation is the most commonly studied epigenetic process and represents a potential biomarker of future health outcomes. We review 25 studies in nononcological paediatric conditions where DNA methylation biomarkers of future health outcomes are assessed. Whilst a number of positive findings have been described, the body of evidence is severely limited by issues with outcome measures, tissue-specific samples, accounting for sample cell type heterogeneity, lack of appropriate statistical testing, small effect sizes, limited validation, and no assessment of net health impact. Future studies should concentrate on careful study design to overcome these issues, and integration of DNA methylation data with other 'omic', clinical, and environmental data to generate the most clinically useful biomarkers of paediatric disease.

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Global DNA Methylation in Neonatal Sepsis

Cited by 18 publications

References 10 publications

Heart rate variability analysis is more sensitive at identifying neonatal sepsis than conventional vital signs

Heart rate variability analysis is more sensitive at identifying neonatal sepsis than conventional vital signs

The Surviving Sepsis Campaign: Basic/Translational Science Research Priorities*

DNA methylation biomarkers of future health outcomes in children

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