2023
DOI: 10.1186/s13054-023-04378-w
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Serum-integrated omics reveal the host response landscape for severe pediatric community-acquired pneumonia

Abstract: Objective Community-acquired pneumonia (CAP) is the primary cause of death for children under five years of age globally. Hence, it is essential to investigate new early biomarkers and potential mechanisms involved in disease severity. Methods Proteomics combined with metabolomics was performed to identify biomarkers suitable for early diagnosis of severe CAP. In the training cohort, proteomics and metabolomics were performed on serum samples obta… Show more

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Cited by 16 publications
(10 citation statements)
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“…). Hence, it has been used in medicine to predict diseases evolution from cohorts [ 30 ], or in agronomy to predict yield (grain) production in cereals [ 31 ].…”
Section: Discussionmentioning
confidence: 99%
“…). Hence, it has been used in medicine to predict diseases evolution from cohorts [ 30 ], or in agronomy to predict yield (grain) production in cereals [ 31 ].…”
Section: Discussionmentioning
confidence: 99%
“…The Th1/Th2 34-plex human ProcartaPlex kit (Thermo Fisher Scientific) was used to measure plasma cytokine levels and performed as described by the manufacturer’s instructions and previous reports. 29 , 47 …”
Section: Methodsmentioning
confidence: 99%
“… 29 , 30 , 31 , 32 Recent studies on the relationship between glycosylation and cancer diseases have utilized machine learning models to assist in the classification between patients with cancer and healthy individuals, as well as to screen for relevant glycan biomarkers. 33 Since the training data are the knowledge source of the machine learning models, it could be difficult to build models with decent performance for groups with small sample size. On the other hand, differences among datasets could potentially form challenges in maintaining comparable performance of a model trained on one cohort when applied to another cohort.…”
Section: Introductionmentioning
confidence: 99%