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Record W4396851731 · doi:10.21203/rs.3.rs-4329965/v1

Angiogenesis biomarkers discriminate multiple sclerosis phenotypes

2024· preprint· en· W4396851731 on OpenAlexaffabout
Heather Yong, Cláudia Silva, Nicholas J. Batty, Yunyan Zhang, Marcus Koch, Carlos R. Cámara-Lemarroy

Bibliographic record

VenueResearch Square · 2024
Typepreprint
Languageen
FieldMedicine
TopicCytokine Signaling Pathways and Interactions
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPhenotypeMultiple sclerosisAngiogenesisMedicineComputational biologyBiologyCancer researchGeneticsImmunologyGene

Abstract

fetched live from OpenAlex

<title>Abstract</title> <bold>Background: </bold>Multiple Sclerosis is a neuroinflammatory/neurodegenerative disease characterized by a state of “virtual hypoxia” in the central nervous system. Angiogenesis, one of the main homeostatic responses to hypoxia, has been implicated in the pathophysiology of multiple sclerosis; and angioneurins (angiogenic molecules released by/exerting effects on neural cells) are reported to have conflicting roles in perpetuating or ameliorating disease. This study aimed to determine whether angiogenic molecules are dysregulated in the serum and central nervous system of multiple sclerosis patients. <bold>Methods: </bold>Serum samples were obtained from 317 multiple sclerosis participants (n=130 with relapsing-remitting multiple sclerosis; n=187 with progressive multiple sclerosis; n=43 controls) followed at the multiple sclerosis clinic in Calgary, Alberta, Canada. A proportion of participants were in trials of domperidone and hydroxychloroquine. Angiogenic factors were measured using the Human Angiogenesis Array &amp; Growth Factor Array® multiplex (Eve Technologies). A meta-analysis of publicly available transcriptomic databases was performed to explore if the differences seen in serum were similar to those within the central nervous system. <bold>Results: </bold>Several angioneurins were dysregulated in multiple sclerosis serum compared to healthy controls with increased expression of epidermal growth factor (p&lt;0.01) and leptin (p&lt;0.05). Further, multiple sclerosis phenotypes had distinct angiogenic signatures: epidermal growth factor was significantly higher in the sera of relapsing-remitting multiple sclerosis compared to progressive multiple sclerosis (p&lt;0.0001), while endoglin was elevated in primary progressive (p&lt;0.001) and secondary progressive (p&lt;0.01) compared to relapse-remitting multiple sclerosis. Follistatin levels were exclusively higher in primary progressive compared to both relapse-remitting (p&lt;0.001) and secondary progressive (p&lt;0.0001) multiple sclerosis. Distinct angiogenic patterns were observed histologically in lesions and normal appearing brain tissue similar to what is seen in serum, with elevated epidermal growth factor across phenotypes, and elevated endoglin/follistatin in progressive multiple sclerosis lesions. Further, bone morphogenetic protein-9, endoglin, and follistatin were positively correlated with age and disability, while epidermal growth factor was negatively corresponded. <bold>Conclusion: </bold>Angiogenesis is dysregulated in multiple sclerosis and across phenotypes. Angiogenesis may play complex roles in multiple sclerosis pathophysiology and be a relevant pathway, both in understanding disease mechanisms and as a possible therapeutic target.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.126
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.002
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.186
GPT teacher head0.406
Teacher spread0.220 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes2
Has abstractyes

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