Drp1–associated genes implicated in sepsis survival

Sepsis is a severe and life-threatening medical syndrome that can lead to organ failure and death. Despite advances in medical treatment, current therapies are often inadequate, with high septic mortality rates. Therefore, there is a critical need for reliable prognostic markers to be used in clinic...

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Main Authors: Marissa D. Pokharel, Anlin Feng, Ying Liang, Wenli Ma, Saurabh Aggarwal, Hoshang Unwalla, Stephen M. Black, Ting Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Immunology
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Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2024.1516145/full
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author Marissa D. Pokharel
Marissa D. Pokharel
Anlin Feng
Anlin Feng
Ying Liang
Ying Liang
Wenli Ma
Wenli Ma
Saurabh Aggarwal
Hoshang Unwalla
Stephen M. Black
Stephen M. Black
Stephen M. Black
Ting Wang
Ting Wang
Ting Wang
author_facet Marissa D. Pokharel
Marissa D. Pokharel
Anlin Feng
Anlin Feng
Ying Liang
Ying Liang
Wenli Ma
Wenli Ma
Saurabh Aggarwal
Hoshang Unwalla
Stephen M. Black
Stephen M. Black
Stephen M. Black
Ting Wang
Ting Wang
Ting Wang
author_sort Marissa D. Pokharel
collection DOAJ
description Sepsis is a severe and life-threatening medical syndrome that can lead to organ failure and death. Despite advances in medical treatment, current therapies are often inadequate, with high septic mortality rates. Therefore, there is a critical need for reliable prognostic markers to be used in clinical settings to improve the management and outcomes of patients with sepsis. Recent studies have suggested that mitochondrial dynamics, including the processes of mitochondrial fission and fusion, are closely related to the severity of sepsis and the status of inflammation. By monitoring transcriptomic signals related to mitochondrial dynamics, new and reliable biomarkers can be engineered to more accurately predict sepsis survival risk. Such biomarkers would be invaluable in clinical settings, aiding healthcare providers in the early identification of high-risk patients and improving treatment strategies. To achieve this goal, we utilized the major mitochondrial fission regulatory protein dynamin-related protein 1 (Drp1, gene code DNM1L) and identified Drp1-associated genes that are enriched with sepsis survival genes. A 12-gene signature (GS) was established as a differentially expressed gene (DEG)-based GS. Next, we compared genes of proteins that interact with Drp1 to sepsis survival genes and identified 7 common genes, establishing a GS we term as protein-protein interaction (PPI)-based GS. To evaluate if these GSs can predict sepsis survival, we used publicly available human blood transcriptomic datasets from sepsis patients. We confirmed that both GSs can successfully predict sepsis survival in both discovery and validation cohorts with high sensitivity and specificity, with the PPI-based GS showing enhanced prognostic performance. Together, this study successfully engineers a new and validated blood-borne biomarker (PPI-based 7-gene GS) for sepsis survival risk prediction. This biomarker holds the potential for improving the early identification of high-risk sepsis patients and optimizing personalized treatment strategies to reduce sepsis mortality.
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spelling doaj-art-1d84596db85c48538cc5d609324304272025-01-08T05:10:30ZengFrontiers Media S.A.Frontiers in Immunology1664-32242025-01-011510.3389/fimmu.2024.15161451516145Drp1–associated genes implicated in sepsis survivalMarissa D. Pokharel0Marissa D. Pokharel1Anlin Feng2Anlin Feng3Ying Liang4Ying Liang5Wenli Ma6Wenli Ma7Saurabh Aggarwal8Hoshang Unwalla9Stephen M. Black10Stephen M. Black11Stephen M. Black12Ting Wang13Ting Wang14Ting Wang15Center for Translational Science, Florida International University, Port Saint Lucie, FL, United StatesDepartment of Cellular and Molecular Medicine, Florida International University, Miami, FL, United StatesCenter for Translational Science, Florida International University, Port Saint Lucie, FL, United StatesDepartment of Environmental Health Sciences, Florida International University, Miami, FL, United StatesCenter for Translational Science, Florida International University, Port Saint Lucie, FL, United StatesDepartment of Environmental Health Sciences, Florida International University, Miami, FL, United StatesCenter for Translational Science, Florida International University, Port Saint Lucie, FL, United StatesDepartment of Environmental Health Sciences, Florida International University, Miami, FL, United StatesDepartment of Cellular and Molecular Medicine, Florida International University, Miami, FL, United StatesDepartment of Cellular and Molecular Medicine, Florida International University, Miami, FL, United StatesCenter for Translational Science, Florida International University, Port Saint Lucie, FL, United StatesDepartment of Cellular and Molecular Medicine, Florida International University, Miami, FL, United StatesDepartment of Environmental Health Sciences, Florida International University, Miami, FL, United StatesCenter for Translational Science, Florida International University, Port Saint Lucie, FL, United StatesDepartment of Cellular and Molecular Medicine, Florida International University, Miami, FL, United StatesDepartment of Environmental Health Sciences, Florida International University, Miami, FL, United StatesSepsis is a severe and life-threatening medical syndrome that can lead to organ failure and death. Despite advances in medical treatment, current therapies are often inadequate, with high septic mortality rates. Therefore, there is a critical need for reliable prognostic markers to be used in clinical settings to improve the management and outcomes of patients with sepsis. Recent studies have suggested that mitochondrial dynamics, including the processes of mitochondrial fission and fusion, are closely related to the severity of sepsis and the status of inflammation. By monitoring transcriptomic signals related to mitochondrial dynamics, new and reliable biomarkers can be engineered to more accurately predict sepsis survival risk. Such biomarkers would be invaluable in clinical settings, aiding healthcare providers in the early identification of high-risk patients and improving treatment strategies. To achieve this goal, we utilized the major mitochondrial fission regulatory protein dynamin-related protein 1 (Drp1, gene code DNM1L) and identified Drp1-associated genes that are enriched with sepsis survival genes. A 12-gene signature (GS) was established as a differentially expressed gene (DEG)-based GS. Next, we compared genes of proteins that interact with Drp1 to sepsis survival genes and identified 7 common genes, establishing a GS we term as protein-protein interaction (PPI)-based GS. To evaluate if these GSs can predict sepsis survival, we used publicly available human blood transcriptomic datasets from sepsis patients. We confirmed that both GSs can successfully predict sepsis survival in both discovery and validation cohorts with high sensitivity and specificity, with the PPI-based GS showing enhanced prognostic performance. Together, this study successfully engineers a new and validated blood-borne biomarker (PPI-based 7-gene GS) for sepsis survival risk prediction. This biomarker holds the potential for improving the early identification of high-risk sepsis patients and optimizing personalized treatment strategies to reduce sepsis mortality.https://www.frontiersin.org/articles/10.3389/fimmu.2024.1516145/fullDRP1fissionmitochondriasepsis survivalinflammation
spellingShingle Marissa D. Pokharel
Marissa D. Pokharel
Anlin Feng
Anlin Feng
Ying Liang
Ying Liang
Wenli Ma
Wenli Ma
Saurabh Aggarwal
Hoshang Unwalla
Stephen M. Black
Stephen M. Black
Stephen M. Black
Ting Wang
Ting Wang
Ting Wang
Drp1–associated genes implicated in sepsis survival
Frontiers in Immunology
DRP1
fission
mitochondria
sepsis survival
inflammation
title Drp1–associated genes implicated in sepsis survival
title_full Drp1–associated genes implicated in sepsis survival
title_fullStr Drp1–associated genes implicated in sepsis survival
title_full_unstemmed Drp1–associated genes implicated in sepsis survival
title_short Drp1–associated genes implicated in sepsis survival
title_sort drp1 associated genes implicated in sepsis survival
topic DRP1
fission
mitochondria
sepsis survival
inflammation
url https://www.frontiersin.org/articles/10.3389/fimmu.2024.1516145/full
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