A TRANSCRIPTOMIC APPRECIATION OF CHILDHOOD MENINGOCOCCAL AND POLYMICROBIAL SEPSIS FROM A PRO-INFLAMMATORY AND TRAJECTORIAL PERSPECTIVE, A ROLE FOR VASCULAR ENDOTHELIAL GROWTH FACTOR A AND B MODULATION?

Author:

Rashid Asrar,Brusletto Berit S.1,Al-Obeidat Feras2,Toufiq Mohammed3,Benakatti Govind,Brierley Joe4,Malik Zainab A.5,Hussain Zain6,Alkhazaimi Hoda7,Sharief Javed8,Kadwa Raziya8,Sarpal Amrita,Chaussabel Damien3,Malik Rayaz A.,Quraishi Nasir9,Khilnani Praveen10,Zaki Syed A.11,Nadeem Rashid12,Shaikh Guftar13,Al-Dubai Ahmed14,Hafez Wael,Hussain Amir14

Affiliation:

1. The Blood Cell Research Group, Department of Medical Biochemistry, Oslo University Hospital, Ullevål, Norway

2. College of Technological Innovation at Zayed University, Abu Dhabi, United Arab Emirates

3. The Jackson Laboratory for Genomic Medicine Farmington, Connecticut, USA

4. Great Ormond Street Children's Hospital, London, United Kingdom

5. College of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai, United Arab Emirates

6. Edinburgh Medical School, University go Edinburgh, Edinburgh, United Kingdom

7. New York University, Abu Dhabi, United Arab Emirates

8. NMC Royal Hospital, Abu Dhabi, United Arab Emirates

9. Centre for Spinal Studies & Surgery, Queen's Medical Centre, The University of Nottingham, Nottingham, United Kingdom

10. Medanta Gururam, Delhi, India

11. All India Institute of Medical Sciences, Hyderabad, India

12. Dubai Hospital, Dubai, United Arab Emirates

13. Endocrinology, Royal Hospital for Children, Glasgow, United Kingdom

14. School of Computing, Edinburgh Napier University, Edinburgh, United Kingdom

Abstract

ABSTRACT This study investigated the temporal dynamics of childhood sepsis by analyzing gene expression changes associated with proinflammatory processes. Five datasets, including four meningococcal sepsis shock (MSS) datasets (two temporal and two longitudinal) and one polymicrobial sepsis dataset, were selected to track temporal changes in gene expression. Hierarchical clustering revealed three temporal phases: early, intermediate, and late, providing a framework for understanding sepsis progression. Principal component analysis supported the identification of gene expression trajectories. Differential gene analysis highlighted consistent upregulation of vascular endothelial growth factor A (VEGF-A) and nuclear factor κB1 (NFKB1), genes involved in inflammation, across the sepsis datasets. NFKB1 gene expression also showed temporal changes in the MSS datasets. In the postmortem dataset comparing MSS cases to controls, VEGF-A was upregulated and VEGF-B downregulated. Renal tissue exhibited higher VEGF-A expression compared with other tissues. Similar VEGF-A upregulation and VEGF-B downregulation patterns were observed in the cross-sectional MSS datasets and the polymicrobial sepsis dataset. Hexagonal plots confirmed VEGF-R (VEGF receptor)–VEGF-R2 signaling pathway enrichment in the MSS cross-sectional studies. The polymicrobial sepsis dataset also showed enrichment of the VEGF pathway in septic shock day 3 and sepsis day 3 samples compared with controls. These findings provide unique insights into the dynamic nature of sepsis from a transcriptomic perspective and suggest potential implications for biomarker development. Future research should focus on larger-scale temporal transcriptomic studies with appropriate control groups and validate the identified gene combination as a potential biomarker panel for sepsis.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Critical Care and Intensive Care Medicine,Emergency Medicine

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