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Improving Sepsis Care with Deep RNA Sequencing Data

Award Number: R35GM142638
ORGANIZATION: NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)
PERIOD OF PERFORMANCE START DATE: 09/01/2021
PERIOD OF PERFORMANCE END DATE: 06/30/2026

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Improving Sepsis Care with Deep RNA Sequencing Data - Project Summary/Abstract Sepsis is responsible for one out of every five deaths worldwide. It is therefore essential to better understand better diagnose and treat sepsis. We propose to use deep RNA sequencing of the whole blood of sepsis patients to better identify the pathogen causing the disease, triage the appropriate resources, predict outcomes, and identify novel therapeutic targets. Utilizing novel methods of computational analysis of deep RNA sequencing data we will assess microbial populations, RNA biology (specifically RNA splicing entropy and RNA lariats) and identify novel treatment targets/identify patients likely to benefit. Some RNA sequencing data that does not match the species it came from (human) is typically discarded. We will look at this typically discarded data for microbial (bacteria and viruses) populations to improve diagnostic ability. To assess the host response we will study RNA biology. RNA splicing is a basic molecular function that occurs in all cells directly after RNA transcription, but before protein translation in which introns are removed and exons are joined together. Over 90% of human genes with multiple exons have alternative splicing events. We hope to assess if RNA splicing entropy could be a potential biomarker in sepsis. Introns are typically degraded rapidly after removal during splicing, however, the presence of these lariats could signify RNA metabolism dysfunction and we will correlate this to outcomes. RNA sequencing data will also allow for application of novel interventions, such as PD-1 antibodies, to patients most likely to benefit; essentially applying precision medicine to a critically ill patient. We will utilize whole blood from humans with sepsis and compare to control patients in the intensive care unit without sepsis. Samples will be collected serially over the course of the stay in the intensive care unit. We hypothesize that data from deep RNA sequencing obtained during sepsis can be quantified and improve care.


Issue Date FY	Funding FY	Legal Entity Name	Legal Entity Address	Legal Entity City	Legal Entity State	Legal Entity Zip Code	Legal Entity COUNTY	Legal Entity COUNTRY	Assistance Listing	Award Code	Budget Year	Action Date	Action Type	Action Amount

Issue Date FY: 2025 ( Subtotal = $397,648 )
2025	2025	RHODE ISLAND HOSPITAL	593 EDDY ST	PROVIDENCE	RI	02903	PROVIDENCE	USA	Biomedical Research and Research Training	000	5	7/3/2025	NON-COMPETING CONTINUATION	$397,648
														Subtotal = $397,648

Issue Date FY: 2024 ( Subtotal = $583,778 )
2024	2024	RHODE ISLAND HOSPITAL	593 EDDY ST	PROVIDENCE	RI	02903	PROVIDENCE	USA	Biomedical Research and Research Training	001	4	6/24/2024	NON-COMPETING CONTINUATION	$398,122
2024	2024	RHODE ISLAND HOSPITAL	593 EDDY ST	PROVIDENCE	RI	02903	PROVIDENCE	USA	Biomedical Research and Research Training	000	3	6/6/2024	SUPPLEMENT FOR EXPANSION	$185,656
														Subtotal = $583,778

Issue Date FY: 2023 ( Subtotal = $398,579 )
2023	2023	RHODE ISLAND HOSPITAL	593 EDDY ST	PROVIDENCE	RI	02903	PROVIDENCE	USA	Biomedical Research and Research Training	000	3	6/9/2023	NON-COMPETING CONTINUATION	$398,579
														Subtotal = $398,579

Issue Date FY: 2022 ( Subtotal = $399,018 )
2022	2022	RHODE ISLAND HOSPITAL	593 EDDY ST	PROVIDENCE	RI	02903	PROVIDENCE	USA	Biomedical Research and Research Training	000	2	7/13/2022	NON-COMPETING CONTINUATION	$399,018
														Subtotal = $399,018

Issue Date FY: 2021 ( Subtotal = $389,143 )
2021	2021	RHODE ISLAND HOSPITAL	593 EDDY ST	PROVIDENCE	RI	02903	PROVIDENCE	USA	Biomedical Research and Research Training	000	1	8/30/2021	NEW	$389,143
														Subtotal = $389,143

Grand Total All Awards = $2,168,166

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Improving Sepsis Care with Deep RNA Sequencing Data

Award Number: R35GM142638

ORGANIZATION: NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)

PERIOD OF PERFORMANCE START DATE: 09/01/2021

PERIOD OF PERFORMANCE END DATE: 06/30/2026

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