Highly secreted tryptophanyl tRNA synthetase 1 as a potential theranostic target for hypercytokinemic severe sepsis.
Yoon Tae KimJin Won HuhYun Hui ChoiHee Kyeong YoonTram Tt NguyenEunho ChunGeunyeol JeongSunyoung ParkSungwoo AhnWon Kyu LeeYoung-Woock NohKyoung Sun LeeHee-Sung AhnCheolju LeeSang Min LeeKyung Su KimGil Joon SuhKyeongman JeonSunghoon KimMirim JinPublished in: EMBO molecular medicine (2023)
Despite intensive clinical and scientific efforts, the mortality rate of sepsis remains high due to the lack of precise biomarkers for patient stratification and therapeutic guidance. Secreted human tryptophanyl-tRNA synthetase 1 (WARS1), an endogenous ligand for Toll-like receptor (TLR) 2 and TLR4 against infection, activates the genes that signify the hyperinflammatory sepsis phenotype. High plasma WARS1 levels stratified the early death of critically ill patients with sepsis, along with elevated levels of cytokines, chemokines, and lactate, as well as increased numbers of absolute neutrophils and monocytes, and higher Sequential Organ Failure Assessment (SOFA) scores. These symptoms were recapitulated in severely ill septic mice with hypercytokinemia. Further, injection of WARS1 into mildly septic mice worsened morbidity and mortality. We created an anti-human WARS1-neutralizing antibody that suppresses proinflammatory cytokine expression in marmosets with endotoxemia. Administration of this antibody into severe septic mice attenuated cytokine storm, organ failure, and early mortality. With antibiotics, the antibody almost completely prevented fatalities. These data imply that blood-circulating WARS1-guided anti-WARS1 therapy may provide a novel theranostic strategy for life-threatening systemic hyperinflammatory sepsis.
Keyphrases
- acute kidney injury
- toll like receptor
- septic shock
- intensive care unit
- inflammatory response
- nuclear factor
- endothelial cells
- immune response
- high fat diet induced
- photodynamic therapy
- poor prognosis
- early onset
- stem cells
- type diabetes
- lps induced
- genome wide
- big data
- machine learning
- bone marrow
- electronic health record
- drug induced
- binding protein
- long non coding rna
- adipose tissue
- fluorescence imaging
- depressive symptoms
- wild type
- sleep quality