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Record W2053096956 · doi:10.1186/1753-6561-8-s4-p37

Electrochemical evaluation of anti-CRP/CRP interaction for the molecular diagnosis of the cardiovascular risk

2014· article· en· W2053096956 on OpenAlexfundno aff
Vinícius de Rezende Rodovalho, Anderson José Gonzaga Lemos, João M. Madurro, Ana G. Brito‐Madurro

Bibliographic record

VenueBMC Proceedings · 2014
Typearticle
Languageen
FieldImmunology and Microbiology
TopicBiomarkers in Disease Mechanisms
Canadian institutionsnot available
FundersInstitute of GeneticsFundação de Amparo à Pesquisa do Estado de Minas GeraisConselho Nacional de Desenvolvimento Científico e Tecnológico
KeywordsMedicineC-reactive proteinThrombusAcute-phase proteinMyocardial infarctionInternal medicineCardiologyInflammationBioinformatics

Abstract

fetched live from OpenAlex

The C-reactive protein (CRP or PTX1) is an acute phase protein, expressed by hepatocytes, that is regarded as a clinical marker for infection and has been increasingly used as a risk indicator in chronic inflammatory diseases [ 1 ]. Atherosclerosis is an inflammatory disease that remains a major cause of morbidity and mortality. Its progression is associated with the accumulation of lipoproteins in the endothelium, establishing plaques whose rupture may result in the formation of a thrombus, arising several cardiovascular complications [ 2 ]. Studies show there is a correlation between the risk of cardiac events (such as myocardial infarction) and increasing levels of CRP [ 3 ]. Currently, there are several methods to detect CRP, including immunoassays and agglutination. However, these methods are not sensitive enough, time-consuming or cost-ineffective [ 4 ]. Therefore, new diagnosis methods are being developed. Electrochemical biosensors are small devices that combine the selectivity of biochemical molecular recognition with the sensitivity of electrode transducers, being remarkable for their specificity, speed, portability and low cost [ 5 ]. In this work, a graphite electrode surface is modified with poly(3-aminotiophenol) and a specific antibody (anti-CRP), aiming the detection of its antigen (CRP), through electrochemical methods. The monomer solution (3-aminotiophenol) was prepared in 0.50 mol.L sulfuric acid solution for electropolymerization by potential cycling between -0.4 V and +1.0 V vs. Ag/AgCl at 50 mV.s . This solution was prepared freshly, before each electropolymerization and deaerated with ultra pure nitrogen before use for 40 minutes. After electropolymerization, the modified ectrode was rinsed in deionized water to remove unreacted monomer. The electrochemical polymerization was performed through cyclic voltammetry in a three-compartment cell using a potentiostat from CH Instruments model 420A. The solution containing the antibody probe (anti-CRP, 50µg.mL ) was added onto the surface of the modified electrode. Then, the modified electrode containg poly(3-aminotiophenol):anti-CRP was incubated in solution of glycine to block and prevent non-specific adsorption. Next, a solution containing the antigen target (CRP, 150 µg.mL ) was applied onto the produced biomaterial. The indicator of the interaction anti-CRP:CRP, 4-aminoantipyrine (4-AAP), was added to the system and its oxidation peak was monitored. After each step, the electrodes were rinsed with 0.1 mmol.L phosphate buffer pH 7.4 to eliminate not-bound biomolecules. These detections were carried out in a one-compartment electrochemical cell, through differential pulse voltammetry.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
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 score0.015
Threshold uncertainty score0.285

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.017
GPT teacher head0.251
Teacher spread0.235 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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".

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Citations0
Published2014
Admission routes1
Has abstractyes

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