Proteomics identifies complement protein signatures in patients with alcohol-associated hepatitis Article Swipe
YOU?
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· 2024
· Open Access
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· DOI: https://doi.org/10.1172/jci.insight.174127
Diagnostic challenges continue to impede development of effective therapies for successful management of alcohol-associated hepatitis (AH), creating an unmet need to identify noninvasive biomarkers for AH. In murine models, complement contributes to ethanol-induced liver injury. Therefore, we hypothesized that complement proteins could be rational diagnostic/prognostic biomarkers in AH. Here, we performed a comparative analysis of data derived from human hepatic and serum proteome to identify and characterize complement protein signatures in severe AH (sAH). The quantity of multiple complement proteins was perturbed in liver and serum proteome of patients with sAH. Multiple complement proteins differentiated patients with sAH from those with alcohol cirrhosis (AC) or alcohol use disorder (AUD) and healthy controls (HCs). Serum collectin 11 and C1q binding protein were strongly associated with sAH and exhibited good discriminatory performance among patients with sAH, AC, or AUD and HCs. Furthermore, complement component receptor 1-like protein was negatively associated with pro-inflammatory cytokines. Additionally, lower serum MBL associated serine protease 1 and coagulation factor II independently predicted 90-day mortality. In summary, meta-analysis of proteomic profiles from liver and circulation revealed complement protein signatures of sAH, highlighting a complex perturbation of complement and identifying potential diagnostic and prognostic biomarkers for patients with sAH.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1172/jci.insight.174127
- http://insight.jci.org/articles/view/174127/files/pdf
- OA Status
- gold
- Cited By
- 6
- References
- 65
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4393950937
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4393950937Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1172/jci.insight.174127Digital Object Identifier
- Title
-
Proteomics identifies complement protein signatures in patients with alcohol-associated hepatitisWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-04-04Full publication date if available
- Authors
-
Moyinoluwa Taiwo, Emily Huang, Vai Pathak, Annette Bellar, Nicole Welch, Jaividhya Dasarathy, David Streem, Craig J. McClain, Mack C. Mitchell, Bruce Barton, Gyöngyi Szabó, Srinivasan Dasarathy, Esperance Schaefer, Jay Luther, Le Day, Xinshou Ouyang, Suyavaran Arumugam, Wajahat Z. Mehal, Jon Jacobs, Russell P. Goodman, Daniel M. Rotroff, Laura E. NagyList of authors in order
- Landing page
-
https://doi.org/10.1172/jci.insight.174127Publisher landing page
- PDF URL
-
https://insight.jci.org/articles/view/174127/files/pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://insight.jci.org/articles/view/174127/files/pdfDirect OA link when available
- Concepts
-
Complement system, Proteome, Complement component 5, Complement factor I, Alcoholic hepatitis, Medicine, Immunology, Anaphylatoxin, Cirrhosis, C4A, Serine protease, Proteomics, Blood proteins, Complement (music), Internal medicine, Biology, Alcoholic liver disease, Bioinformatics, Protease, Antibody, Biochemistry, Complementation, Gene, Enzyme, PhenotypeTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
6Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 4, 2024: 2Per-year citation counts (last 5 years)
- References (count)
-
65Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.proteomic | 171 |
| abstract_inverted_index.therapies | 8 |
| abstract_inverted_index.Diagnostic | 0 |
| abstract_inverted_index.Therefore, | 35 |
| abstract_inverted_index.associated | 122, 147, 155 |
| abstract_inverted_index.biomarkers | 23, 45, 195 |
| abstract_inverted_index.challenges | 1 |
| abstract_inverted_index.complement | 29, 39, 67, 78, 92, 140, 178, 188 |
| abstract_inverted_index.cytokines. | 150 |
| abstract_inverted_index.diagnostic | 192 |
| abstract_inverted_index.management | 11 |
| abstract_inverted_index.mortality. | 166 |
| abstract_inverted_index.negatively | 146 |
| abstract_inverted_index.prognostic | 194 |
| abstract_inverted_index.signatures | 69, 180 |
| abstract_inverted_index.successful | 10 |
| abstract_inverted_index.circulation | 176 |
| abstract_inverted_index.coagulation | 160 |
| abstract_inverted_index.comparative | 52 |
| abstract_inverted_index.contributes | 30 |
| abstract_inverted_index.development | 5 |
| abstract_inverted_index.identifying | 190 |
| abstract_inverted_index.noninvasive | 22 |
| abstract_inverted_index.performance | 129 |
| abstract_inverted_index.Furthermore, | 139 |
| abstract_inverted_index.characterize | 66 |
| abstract_inverted_index.highlighting | 183 |
| abstract_inverted_index.hypothesized | 37 |
| abstract_inverted_index.perturbation | 186 |
| abstract_inverted_index.Additionally, | 151 |
| abstract_inverted_index.independently | 163 |
| abstract_inverted_index.meta-analysis | 169 |
| abstract_inverted_index.differentiated | 94 |
| abstract_inverted_index.discriminatory | 128 |
| abstract_inverted_index.ethanol-induced | 32 |
| abstract_inverted_index.pro-inflammatory | 149 |
| abstract_inverted_index.alcohol-associated | 13 |
| abstract_inverted_index.diagnostic/prognostic | 44 |
| cited_by_percentile_year.max | 98 |
| cited_by_percentile_year.min | 94 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 22 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/10 |
| sustainable_development_goals[0].score | 0.6100000143051147 |
| sustainable_development_goals[0].display_name | Reduced inequalities |
| citation_normalized_percentile.value | 0.91862905 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |