2021
DOI: 10.1016/j.intimp.2020.107160
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The role of the cholinergic anti-inflammatory pathway in septic cardiomyopathy

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Cited by 25 publications
(19 citation statements)
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“…Sepsis often induces varying degrees of cardiac dysfunction, thereby resulting in a poor prognosis [ 3 ]. In 1984, Parker et al [ 4 ] discovered reversible cardiac dysfunction in septic patients and proposed the concept of sepsis-induced cardiomyopathy (SIC), the major cause of death in septic patients [ 5 ]. To date, the pathogenesis of SIC remains elusive [ 6 ], which involves a few of factors such as inflammatory damage, myocardial mitochondrial dysfunction, and oxidative stress injury [ 7 , 8 ].…”
Section: Introductionmentioning
confidence: 99%
“…Sepsis often induces varying degrees of cardiac dysfunction, thereby resulting in a poor prognosis [ 3 ]. In 1984, Parker et al [ 4 ] discovered reversible cardiac dysfunction in septic patients and proposed the concept of sepsis-induced cardiomyopathy (SIC), the major cause of death in septic patients [ 5 ]. To date, the pathogenesis of SIC remains elusive [ 6 ], which involves a few of factors such as inflammatory damage, myocardial mitochondrial dysfunction, and oxidative stress injury [ 7 , 8 ].…”
Section: Introductionmentioning
confidence: 99%
“…[24] The cholinergic pathway may also be targeted for pain inhibition by inducing an anti-in ammatory effect. [25] Current ndings suggest that combining choline and parecoxib sodium, which have different properties, may improve neuropathic pain inhibition and decrease the side effects of each drug by reducing the required dose. This notion needs to be further tested in future clinical studies.…”
Section: Discussionmentioning
confidence: 99%
“…We subsequently explored the diagnostic capability and prognostic relevance of key genes for sepsis in whole blood transcriptomic data from independent cohorts. In addition, given the close association between SCM and the immune response, we performed immune correlation analysis on the identified key genes ( 8 , 31 ). Finally, we predicted potential therapeutic drugs based on key genes for further exploration.…”
Section: Introductionmentioning
confidence: 99%