Applying Transcriptomics for an Enhanced Clinical Research Framework, Implications for an Improved Research Strategy based on an Omics Approach: A Scoping Review
Abstract Sepsis remains a major global health issue in pediatric and adult populations, largely due to a lack of understanding of its complex pathophysiology. Despite its high mortality rate, there have been few advancements in sepsis-specific therapies over recent decades. The study aimed to investigate the potential benefits of a genome-wide transcriptomic approach to sepsis in pediatric and adult populations in reducing sepsis-related mortality and enhancing sepsis guidelines. The scoping review explored gene expression data pertinent to developing sepsis guidelines related to its definition, classification, disease severity, molecular biomarking, and benchmarking. A system-biology approach using transcriptomics was adopted to enhance the understanding of sepsis at the mRNA gene expression level. The study involved a search of the PubMed database for original research or systematic reviews that involved transcriptomic application in the context of clinical sepsis published over a ten-year period, from 2012-2022. Of the 14,048 studies retrieved, a full-text analysis was performed. Five main concepts emerged: case definition, classification, quantifying severity of sepsis, transcriptomic biomarkers, and benchmarking. Studies were categorized according to these five categories. The results showed evidence of a connection between the transcript and clinical sepsis, demonstrating that transcript-driven sepsis categorization is possible. Integrating transcriptomic data with clinical endpoints holds promise for more precise sepsis treatment. Although further exploration is needed, the methodology shows potential for disease modification..
Medienart: |
Preprint |
---|
Erscheinungsjahr: |
2024 |
---|---|
Erschienen: |
2024 |
Enthalten in: |
bioRxiv.org - (2024) vom: 23. Apr. Zur Gesamtaufnahme - year:2024 |
---|
Sprache: |
Englisch |
---|
Beteiligte Personen: |
Rashid, Asrar [VerfasserIn] |
---|
Links: |
---|
Themen: |
---|
doi: |
10.1101/2022.10.05.22280692 |
---|
funding: |
|
---|---|
Förderinstitution / Projekttitel: |
|
PPN (Katalog-ID): |
XBI037509101 |
---|
LEADER | 01000caa a22002652 4500 | ||
---|---|---|---|
001 | XBI037509101 | ||
003 | DE-627 | ||
005 | 20240424105243.0 | ||
007 | cr uuu---uuuuu | ||
008 | 221008s2024 xx |||||o 00| ||eng c | ||
024 | 7 | |a 10.1101/2022.10.05.22280692 |2 doi | |
035 | |a (DE-627)XBI037509101 | ||
035 | |a (biorXiv)10.1101/2022.10.05.22280692 | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
100 | 1 | |a Rashid, Asrar |e verfasserin |0 (orcid)0000-0001-6108-9289 |4 aut | |
245 | 1 | 0 | |a Applying Transcriptomics for an Enhanced Clinical Research Framework, Implications for an Improved Research Strategy based on an Omics Approach: A Scoping Review |
264 | 1 | |c 2024 | |
336 | |a Text |b txt |2 rdacontent | ||
337 | |a Computermedien |b c |2 rdamedia | ||
338 | |a Online-Ressource |b cr |2 rdacarrier | ||
520 | |a Abstract Sepsis remains a major global health issue in pediatric and adult populations, largely due to a lack of understanding of its complex pathophysiology. Despite its high mortality rate, there have been few advancements in sepsis-specific therapies over recent decades. The study aimed to investigate the potential benefits of a genome-wide transcriptomic approach to sepsis in pediatric and adult populations in reducing sepsis-related mortality and enhancing sepsis guidelines. The scoping review explored gene expression data pertinent to developing sepsis guidelines related to its definition, classification, disease severity, molecular biomarking, and benchmarking. A system-biology approach using transcriptomics was adopted to enhance the understanding of sepsis at the mRNA gene expression level. The study involved a search of the PubMed database for original research or systematic reviews that involved transcriptomic application in the context of clinical sepsis published over a ten-year period, from 2012-2022. Of the 14,048 studies retrieved, a full-text analysis was performed. Five main concepts emerged: case definition, classification, quantifying severity of sepsis, transcriptomic biomarkers, and benchmarking. Studies were categorized according to these five categories. The results showed evidence of a connection between the transcript and clinical sepsis, demonstrating that transcript-driven sepsis categorization is possible. Integrating transcriptomic data with clinical endpoints holds promise for more precise sepsis treatment. Although further exploration is needed, the methodology shows potential for disease modification. | ||
650 | 4 | |a Biology |7 (dpeaa)DE-84 | |
650 | 4 | |a 570 |7 (dpeaa)DE-84 | |
700 | 1 | |a Al-Obeida, Feras |e verfasserin |4 aut | |
700 | 1 | |a Krishnan, Hari |e verfasserin |4 aut | |
700 | 1 | |a Benakatti, Govind |e verfasserin |4 aut | |
700 | 1 | |a Hafez, Wael |e verfasserin |4 aut | |
700 | 1 | |a Brierley, Joe |e verfasserin |4 aut | |
700 | 1 | |a Hanisch, Benjamin |e verfasserin |4 aut | |
700 | 1 | |a Khilnani, Praveen |e verfasserin |4 aut | |
700 | 1 | |a Koutentis, Christos |e verfasserin |4 aut | |
700 | 1 | |a Brusletto, Berit S |e verfasserin |4 aut | |
700 | 1 | |a Toufiq, Mohammed |e verfasserin |4 aut | |
700 | 1 | |a Hussain, Zain |e verfasserin |4 aut | |
700 | 1 | |a Vyas, Harish |e verfasserin |4 aut | |
700 | 1 | |a Malik, Zainab |e verfasserin |4 aut | |
700 | 1 | |a Schumacher, Maike |e verfasserin |4 aut | |
700 | 1 | |a Malik, Rayaz |e verfasserin |4 aut | |
700 | 1 | |a Deshpande, Shriprasad |e verfasserin |4 aut | |
700 | 1 | |a Quraishi, Nasir |e verfasserin |4 aut | |
700 | 1 | |a Kadwa, Raziya |e verfasserin |4 aut | |
700 | 1 | |a Sarpal, Amrita |e verfasserin |4 aut | |
700 | 1 | |a Shaikh, M. Guftar |e verfasserin |4 aut | |
700 | 1 | |a Sharief, Javed |e verfasserin |4 aut | |
700 | 1 | |a Zaki, Syed Ahmed |e verfasserin |4 aut | |
700 | 1 | |a Phatak, Rajesh |e verfasserin |4 aut | |
700 | 1 | |a Deep, Akash |e verfasserin |4 aut | |
700 | 1 | |a Al-Dubai, Ahmed |e verfasserin |4 aut | |
700 | 1 | |a Hussain, Amir |e verfasserin |4 aut | |
773 | 0 | 8 | |i Enthalten in |t bioRxiv.org |g (2024) vom: 23. Apr. |
773 | 1 | 8 | |g year:2024 |g day:23 |g month:04 |
856 | 4 | 0 | |u https://doi.org/10.1016/j.imu.2023.101419 |x 0 |z lizenzpflichtig |3 Volltext |
856 | 4 | 0 | |u http://dx.doi.org/10.1101/2022.10.05.22280692 |x 0 |z kostenfrei |3 Volltext |
912 | |a GBV_XBI | ||
951 | |a AR | ||
952 | |j 2024 |b 23 |c 04 |