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Record W1562234648 · doi:10.5772/31234

Multidimensional Proteomics for the Identification of Endothelial Post Mortem Signals of Importance in Vascular Remodeling

2012· book-chapter· en· W1562234648 on OpenAlexafffund
Isabelle Sirois, V. Shabanov Alexey, Marie-Jose Hbert

Bibliographic record

VenueInTech eBooks · 2012
Typebook-chapter
Languageen
FieldMedicine
TopicTransplantation: Methods and Outcomes
Canadian institutionsUniversité de Montréal
FundersUniversité de Montréal
KeywordsIdentification (biology)ProteomicsComputational biologyBiologyBiochemistryEcology

Abstract

fetched live from OpenAlex

Introduction 1.1 Endothelial apoptosis and vascular remodelingAtherosclerotic diseases (AD) and immune-mediated vasculopathy of the transplanted organ (referred to as transplant vasculopathy (TV)) are both characterized by vessel wall thickening and fibrotic changes that lead to progressive vascular obliteration (Al-Lamki et al., 2008;Cailhier et al., 2006;Cornell et al., 2008;Mitchell, 2009;Rahmani et al., 2006;Valantine, 2003).The endothelium, positioned at the interface of blood flow and the vessel wall, serves as a physiological barrier and sensor of environmental stress.The "response to injury hypothesis" proposed by Russell Ross in the 70's suggested that endothelial injury prompts vascular smooth muscle cell (VSMC) migration and proliferation, therefore initiating neointima formation (Ross et al., 1977;Ross and Glomset, 1976).Initially, vascular remodeling is beneficial but repeated cycles of injury, proliferation and repair lead to maladaptive remodeling and lumen narrowing.To date, in vitro and in vivo studies in animals and humans confirmed that endothelial apoptosis is a key determinant in the development of AD and TV (Rossig et al., 2001).Various immune and non-immune factors, such as cytotoxic T-cells, donor-specific antibodies, high cholesterol and hyperglycemia account for increased endothelial apoptosis (Cailhier et al., 2006).In turn, migration and accumulation of VSMC, surviving and accumulating within a hostile environment through acquisition of an anti-apoptotic phenotype, form the initial neointima.Histological and biochemical features characterizing AD and TV include 1) extracellular matrix (ECM) degradation that likely facilitate VSMC migration; 2) acquisition of a synthetic and antiapoptotic phenotype by neointimal cells (VSMC), mesenchymal stem cells (MSC) and fibroblasts associated with Bcl-xl overexpression (Gennaro et al., 2004;Hirata et al., 2000;Pollman et al., 1998) and 3) differentiation of fibroblasts into myofibroblasts of importance in fibrogenic vascular changes (Tomasek et al., 2002) (Figure 1).The molecular interplay regulating intercellular communication between apoptotic endothelial cells (EC) and neointimal cells are only beginning to be unraveled. Proteomics for studying Post Mortem Signals (PMS) exported by apoptotic ECApoptotic programmed cell death is classically considered a silent process.The first clues suggesting that apoptotic endothelial cells may not "go quietly" stems from pharmacological www.intechopen.com How to referenceIn order to correctly reference this scholarly work, feel free to copy and paste the following: Isabelle Sirois, Alexey V. Pshezhetsky

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: Methods · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0120.012

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 head0.048
GPT teacher head0.317
Teacher spread0.269 · 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
GenreMethods

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

Citations1
Published2012
Admission routes2
Has abstractyes

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