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Record W4386348243 · doi:10.1101/2023.08.30.555546

Monoclonal antibody chP3R99 reduces subendothelial retention of atherogenic lipoproteins in Insulin-Resistant rats: <i>Acute treatment versus long-term protection as an idiotypic vaccine for atherosclerosis</i>

2023· preprint· en· W4386348243 on OpenAlexaff
Yosdel Soto, Arletty Hernández, Roger Sarduy, Victor Gustavo Balera Brito, Sylvie Marleau, Donna F. Vine, Ana María Vázquez, Spencer D. Proctor

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2023
Typepreprint
Languageen
FieldImmunology and Microbiology
TopicAtherosclerosis and Cardiovascular Diseases
Canadian institutionsUniversité de MontréalUniversity of Alberta
Fundersnot available
KeywordsInsulin resistanceInsulinLipoproteinInternal medicineEndocrinologyApolipoprotein BLipoprotein lipaseChemistryLipoprotein(a)AntibodyCholesterolMedicineImmunologyAdipose tissue

Abstract

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ABSTRACT BACKGROUND Atherosclerosis is triggered by the retention of apolipoprotein B-containing lipoproteins by proteoglycans. In addition to LDL, remnant lipoproteins have emerged as pivotal contributors to this pathology, particularly in the context of insulin resistance and diabetes. We have previously reported anti-atherogenic properties of a monoclonal antibody (chP3R99) that recognizes sulfated glycosaminoglycans on arterial proteoglycans. METHODS AND RESULTS Solid-phase assays demonstrated that chP3R99 effectively blocked over 50% lipoprotein binding to chondroitin sulfate and vascular extracellular matrix in vitro . The pre-perfusion of chP3R99 (competitive effect) resulted in specific antibody-arterial accumulation and reduced fluorescent lipoprotein retention by ∼60% in insulin resistant JCR:LA- cp rats. This competitive reduction was dose-dependent (25 µg/mL–250 µg/mL), effectively decreasing deposition of cholesterol associated with lipoproteins. In a five-week vaccination study in insulin resistant rats with (200 µg SC, once a week), chP3R99 reduced arterial lipoprotein retention, and was associated with the production of anti-chondroitin sulfate antibodies (Ab3) able to accumulate in the arteries (dot-blot). Neither the intravenous inoculation of chP3R99 (4.5 mg/kg), nor the immunization with this antibody displayed adverse effects on lipid or glucose metabolism, insulin resistance, liver function, blood cell indices, or inflammation pathways in JCR:LA -cp rats. CONCLUSIONS Both acute (passive) and long-term administration (idiotypic cascade) of chP3R99 antibody reduced LDL and remnant lipoprotein interaction with proteoglycans in an insulin-resistant setting. These findings support the innovative approach of targeting pro-atherogenic lipoprotein retention by chP3R99 as a passive therapy or as an idiotypic vaccine for atherosclerosis. CLINICAL PERSPECTIVE What Is New? Innovative anti-atherosclerotic chP3R99 mAb interferes with proteoglycan binding of both LDL and remnant lipoproteins in vitro and in vivo . In vivo kinetic studies that immunize with chP3R99 reveal a temporal induction of an anti-idiotypic antibody cascade in a model of insulin resistance (analogous to a vaccine). We discovered that the idiotypic chP3R99 monoclonal antibody (Ab1) was able to induce protective anti-anti-idiotypic (Ab3) antibodies present in both sera as well as the aorta (target organ) in vivo . What Are The Clinical Implications? The chP3R99 mAb has efficacy for reducing the arterial retention of both LDL and remnant-derived lipoproteins and may be relevant of those with Type-2 Diabetes and/or residual CVD risk. We show efficacy of chP3R99 mAb under pro-inflammatory conditions and that it does not exacerbate other metabolic aberrations during insulin resistance. Data support the targeting pro-atherogenic lipoprotein retention with chP3R99 as a passive therapy or as an idiotypic vaccine for atherosclerosis, complementary to lipid lowering approaches.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
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 head0.035
GPT teacher head0.265
Teacher spread0.230 · 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.

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
Published2023
Admission routes1
Has abstractyes

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