2024
DOI: 10.1016/j.talanta.2023.125295
|View full text |Cite
|
Sign up to set email alerts
|

Short-term predictor for COVID-19 severity from a longitudinal multi-omics study for practical application in intensive care units

Sabine Kugler,
Lisa Hahnefeld,
Jan Andreas Kloka
et al.
Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
4

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(2 citation statements)
references
References 39 publications
0
2
0
Order By: Relevance
“…Expression of inflammatory hubs responsible for restricting inflammation, such as ChoE-18 : 3, LPC-O-16 : 0, and PC-O-30 : 0, is decreased in patients with sepsis from COVID-19, while expression of inflammatory hubs responsible for enhancing inflammation, such as sPLA2, PGD2, and 12-HETE, is increased in patients with sepsis from COVID-19 as reported by Meng et al 141 Data from a multi-omics approach using proteomics, metabolomics, and lipidomics were applied to build a workflow to predict aggravation of COVID-19 symptoms of patients in the ICU. Two proteins (CCL7 and CA14), as well as one lipid (HexCer 18 : 2; O2/20 : 0), were identified as short-term predictors of worsening COVID-19 progression in ICU patients as described by Kugler et al 142 …”
Section: Examples Of Omics and Multiomics Studies Focused On Health A...mentioning
confidence: 89%
See 1 more Smart Citation
“…Expression of inflammatory hubs responsible for restricting inflammation, such as ChoE-18 : 3, LPC-O-16 : 0, and PC-O-30 : 0, is decreased in patients with sepsis from COVID-19, while expression of inflammatory hubs responsible for enhancing inflammation, such as sPLA2, PGD2, and 12-HETE, is increased in patients with sepsis from COVID-19 as reported by Meng et al 141 Data from a multi-omics approach using proteomics, metabolomics, and lipidomics were applied to build a workflow to predict aggravation of COVID-19 symptoms of patients in the ICU. Two proteins (CCL7 and CA14), as well as one lipid (HexCer 18 : 2; O2/20 : 0), were identified as short-term predictors of worsening COVID-19 progression in ICU patients as described by Kugler et al 142 …”
Section: Examples Of Omics and Multiomics Studies Focused On Health A...mentioning
confidence: 89%
“…Expression of inflammatory hubs responsible for restricting inflammation, such as ChoE-18 : 3, LPC-O-16 : 0, and PC-O-30 : 0, is decreased in patients with sepsis from COVID-19, while expression of inflammatory hubs responsible for enhancing inflammation, such as sPLA2, PGD2, and 12-HETE, is increased in patients with sepsis from COVID-19 as reported by Meng et al 141 Data from a multi-omics approach using proteomics, metabolomics, and lipidomics were applied to build a workflow to predict aggravation of COVID-19 symptoms of patients in the ICU. Two proteins (CCL7 and CA14), as well as one lipid (HexCer 18 : 2; O2/20 : 0), were identified as short-term predictors of worsening COVID-19 progression in ICU patients as described by Kugler et al 142 Also, metabolomics and microbiomics profiling has been utilized recently by Bosnjak et al 143 to characterize the fecal environment of patients with hospital acquired diarrhea before and after receiving antibiotic treatment in relation to the C. difficile infection status. It was found that C. difficile infection alters metabolic markers that result in antibiotic-associated dysbiosis and proliferation of opportunistic bacteria.…”
Section: Infectious Diseases and Sepsismentioning
confidence: 89%