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Additional file 1 of ApoE4 associated with severe COVID-19 outcomes via downregulation of ACE2 and imbalanced RAS pathway

2024· article· en· W6958284792 on OpenAlexaboutno aff

Bibliographic record

VenueFigshare · 2024
Typearticle
Languageen
FieldMedicine
TopicCOVID-19 Clinical Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsApolipoprotein EBlotDownregulation and upregulationProtein Data Bank (RCSB PDB)Docking (animal)AntibodyProtein–protein interaction

Abstract

fetched live from OpenAlex

Additional file 1: Fig. S1. Expression of ApoE and ACE2 in vitro. Representative western blotting analysis of the ApoE and ACE2 protein levels in A549, HEK-293T, SH-SY5Y, and HUVECs; the data are shown as the mean ± SD of three independent experiments. α-Tubulin was used as a loading control. P values were calculated using one-way ANOVA, *p < 0.05; **p < 0.01; ***p <0.001. Fig. S2. Molecular docking and simulation analyses of the interaction between ApoE and ACE2. A Molecular docking simulation of the SARS-CoV-2 RBD interacting with ACE2 (the orange region of the ACE2 protein represents the region that binds to the spike S1 protein). B and C Plot of backbone RMSD versus time (ns) for ApoE and ACE2. D Plot of Rg versus time (ns) for ApoE-ACE2. E Plot of total SASA versus time (ns) for ApoE-ACE2 complexes. F Number of hydrogen bonds between ApoE and ACE2. G Number of hydrophobic interactions between ApoE and ACE2. H Interaction energy between ACE2 and ApoE. Brown: ApoE2-ACE2, Green: ApoE3-ACE2 and Blue: ApoE4-ACE2. Fig. S3. ApoE4 downregulates ACE2 protein expression in vivo. ACE2 protein levels in the cortex, hippocampus, liver, bowel, spleen, kidney, heart and lung of ApoE2-TR, ApoE3-TR, and ApoE4-TR mice were assessed by immunofluorescence staining. The results were normalized to the expression of a-tubulin. n = 6 mice per group. The sections were stained with an anti-ACE2 (green) antibody and counterstained with DAPI (blue). The data are expressed as the mean ± SD. Statistical differences were evaluated by one-way ANOVA. Scale bars, 100 μm. *p < 0.05; **p < 0.01; ***p <0.001. Fig. S4. ApoE4 regulates Ang II and Ang 1-7 protein expression in vitro. Expression of the Ang II A and Ang 1-7 B proteins in HEK-293T cells as shown by ELISA after transfection with 1 µg/ml Flag, ApoE2-Flag, ApoE3-Flag or ApoE4-Flag plasmids for 48 h. The data are expressed as the mean ± SD. One-way ANOVA tests were used. *p<0.05. Table S1. Characteristics of the included studies. Table S2. Newcastle-Ottawa Scale to assess quality of the involved studies. Table S3. Kinetic parameters of ApoE and ACE2 calculated by BLI. Table S4. Kinetic parameters of ApoE and SARS-CoV-2 (RBD) calculated by BLI.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.868
Threshold uncertainty score0.188

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.019
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.003
Science and technology studies0.0010.000
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.8680.136

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 head0.056
GPT teacher head0.373
Teacher spread0.317 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

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 routes1
Has abstractyes

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