Comparison of Acute and Chronic Stage Ischemic Stroke Metabolome with Controls Article Swipe
Evgeny Sidorov
,
Madhusmita Rout
,
Chao Xu
,
Jordan Larsen
,
Evan Fields
,
Blair Apple
,
Kyle Smith
,
David Gordon
,
Juliane Chainakul
,
Dharambir K. Sanghera
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.21203/rs.3.rs-2515376/v1
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.21203/rs.3.rs-2515376/v1
Background Acute Ischemic Stroke (AIS), a major cause of disability, was previously associated with multiple metabolomic changes, but many findings were contradictory. Case-control and longitudinal study designs could have played a role in that. To clarify metabolomic changes, we performed a simultaneous comparison of ischemic stroke metabolome in acute, chronic stages of stroke and controls. Methods Through the nuclear magnetic resonance (NMR) platform, we evaluated 271 serum metabolites from a cohort of 297 AIS patients in acute and chronic stages and 159 controls. We used Sparse Partial Least Squares-Discriminant analysis (sPLS-DA) to evaluate group disparity; multivariate regression to compare metabolome in acute, chronic stages of stroke and controls; and mixed regression to compare metabolome acute and chronic stages of stroke. We applied false discovery rate (FDR) to our calculations. Results The sPLS-DA revealed separation of the metabolome in acute, chronic stages of stroke and controls. Regression analysis identified 38 altered metabolites. Ketone bodies, branched-chain amino acids (BCAAs), energy, and inflammatory compounds were elevated in the acute stage, but declined in the chronic stage, often to the same levels as in controls. Levels of other amino acids, phosphatidylcholines, phosphoglycerides, and sphingomyelins mainly did not change between acute and chronic stages, but was different comparing to controls. Conclusion Our pilot study identified metabolites associated with acute stage of ischemic stroke and those that are altered in stroke patients comparing to controls regardless of stroke acuity. Future investigation in a larger independent cohort is needed to validate these findings.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.21203/rs.3.rs-2515376/v1
- https://www.researchsquare.com/article/rs-2515376/latest.pdf
- OA Status
- green
- Cited By
- 2
- References
- 28
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4318573479
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4318573479Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.21203/rs.3.rs-2515376/v1Digital Object Identifier
- Title
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Comparison of Acute and Chronic Stage Ischemic Stroke Metabolome with ControlsWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-01-30Full publication date if available
- Authors
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Evgeny Sidorov, Madhusmita Rout, Chao Xu, Jordan Larsen, Evan Fields, Blair Apple, Kyle Smith, David Gordon, Juliane Chainakul, Dharambir K. SangheraList of authors in order
- Landing page
-
https://doi.org/10.21203/rs.3.rs-2515376/v1Publisher landing page
- PDF URL
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https://www.researchsquare.com/article/rs-2515376/latest.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://www.researchsquare.com/article/rs-2515376/latest.pdfDirect OA link when available
- Concepts
-
Metabolome, Stroke (engine), Medicine, Metabolomics, Cohort, Internal medicine, Metabolite, Bioinformatics, Biology, Engineering, Mechanical engineeringTop concepts (fields/topics) attached by OpenAlex
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2Total citation count in OpenAlex
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2024: 1, 2023: 1Per-year citation counts (last 5 years)
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28Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.associated | 13, 212 |
| abstract_inverted_index.comparison | 43 |
| abstract_inverted_index.disparity; | 95 |
| abstract_inverted_index.identified | 148, 210 |
| abstract_inverted_index.metabolome | 47, 100, 114, 137 |
| abstract_inverted_index.previously | 12 |
| abstract_inverted_index.regardless | 230 |
| abstract_inverted_index.regression | 97, 111 |
| abstract_inverted_index.separation | 134 |
| abstract_inverted_index.disability, | 10 |
| abstract_inverted_index.independent | 239 |
| abstract_inverted_index.metabolites | 68, 211 |
| abstract_inverted_index.metabolomic | 16, 37 |
| abstract_inverted_index.Case-control | 23 |
| abstract_inverted_index.inflammatory | 160 |
| abstract_inverted_index.longitudinal | 25 |
| abstract_inverted_index.metabolites. | 151 |
| abstract_inverted_index.multivariate | 96 |
| abstract_inverted_index.simultaneous | 42 |
| abstract_inverted_index.calculations. | 129 |
| abstract_inverted_index.investigation | 235 |
| abstract_inverted_index.branched-chain | 154 |
| abstract_inverted_index.contradictory. | 22 |
| abstract_inverted_index.sphingomyelins | 190 |
| abstract_inverted_index.phosphoglycerides, | 188 |
| abstract_inverted_index.Squares-Discriminant | 89 |
| abstract_inverted_index.phosphatidylcholines, | 187 |
| cited_by_percentile_year.max | 94 |
| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 10 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/10 |
| sustainable_development_goals[0].score | 0.5799999833106995 |
| sustainable_development_goals[0].display_name | Reduced inequalities |
| citation_normalized_percentile.value | 0.62989988 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |