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PubMed2006

Proteome-wide profiling of isoniazid targets in Mycobacterium tuberculosis.

Isoniazid (INH) is an essential drug used to treat tuberculosis. The mycobactericidal agents are INH adducts [INH-NAD(P)] of the pyridine nucleotide coenzymes, which are generated in vivo after INH activation and which bind to, and inhibit, essential enzymes. The NADH-dependent enoyl-ACP reductase (InhA) and the NADPH-dependent dihydrofolate reductase (DfrA) have both been shown to be inhibited by INH-NAD(P) adducts with nanomolar affinity. In this paper, we profiled the Mycobacterium tuberculosis proteome using both the INH-NAD and INH-NADP adducts coupled to solid supports and identified, in addition to InhA and DfrA, 16 other proteins that bind these adducts with high affinity. The majority of these are predicted to be pyridine nucleotide-dependent dehydrogenases/reductases. They are involved in many cellular processes, including S-adenosylmethionine-dependent methyl transfer reactions, pyrimidine and valine catabolism, the arginine degradative pathway, proton and potassium transport, stress response, lipid metabolism, and riboflavin biosynthesis. The targeting of multiple enzymes could, thus, account for the pleiotropic effects of, and powerful mycobactericidal properties of, INH.

Antitubercular Agents↗

PubMed2003

Quantitative chemical proteomics for identifying candidate drug targets.

We have developed a systematic strategy for drug target identification. This consists of the following sequential steps: (1) enrichment of total binding proteins using two differential affinity matrixes upon which are immobilized positive and negative chemical structures for drug activity, respectively; (2) covalent labeling of the proteins with a new cleavable isotope-coded affinity tag (ICAT) reagent, followed by proteolysis of the combined proteins; (3) isolation, identification, and relative quantification of the tagged peptides by liquid chromatography-mass spectrometry; (4) array-based transcription profiling to select candidate proteins; and (5) confirmation of direct interaction between the activity-associated structure and the selected proteins by using surface plasmon resonance. We present a typical application to identify the primary binding protein of a novel class of anticancer agents exemplified by E7070. Our results suggest that this approach provides a new aspect of quantitative proteomics to find specific binding proteins from protein mixture and should be applicable to a wide variety of biologically active small molecules with unidentified target proteins.

Antineoplastic Agents↗

PubMedDate not supplied

[Proteomics and autoantibody].

Autoimmune response is diverse. This diversity is thought not to take place at the beginning of the autoimmune process but to occur as the disease evolves. It is mainly the consequence of the so-called epitope-spreading phenomenon and of the cross-reactivity of antibodies. Analysing autoantibody repertoire constitutes a powerful means to understand physiopathological processes at work in various diseases, mainly autoimmune diseases. In particular this analysis opens the way to precisely identify autoantigens and their changes in various pathological situations, and allows providing new biological markers in chronic inflammatory diseases. New methodologies have recently emerged for the analysis of the autoantibody repertoire in a given individual. They propose diagnostic approaches no more related upon few markers but founded upon analysis of global changes of the antibody repertoire. They belong to methodologies called target-oriented proteomics. Their common feature is to isolate autoantigens by means of affinity chromatography based upon antibody/antigen reactions. Autoantibodies to be studied interact with a protein substratum susceptible to include autoantibody targets. These interactions take place on solid macro- or microsurfaces, i.e. membrane filters or chips. Several strategies can be used for locating the specific autoantibody/autoantigen complexes and for identifying behind autoantigens. In this paper three approaches, namely, the recombinant protein chips, the SELDI techniques and the 2-D gel electrophoresis linked to mass spectrometry are described and compared.

Autoantibodies↗

PubMedDate not supplied

Comparative plasma proteome analysis of lymphoma-bearing SJL mice.

In SJL mice, growth of RcsX lymphoma cells induces an inflammatory response by stimulating V(beta)16+ T cells. During inflammation, various serum protein levels can increase (e.g., acute phase reactants) or decrease (e.g., albumin), and most of these altered proteins are thus potential biomarkers. Although blood plasma is a valuable and promising sample for biomarker discovery for diseases or for novel drug targets, its proteome is complex. To address this, we have focused on a comprehensive comparison of the plasma proteomes from normal and RcsX-tumor-bearing SJL mice using the 1D-Gel-LC-MS/MS method after removing albumin and immunoglobulins. This analysis resulted in the identification of a total of 1079 nonredundant mouse plasma proteins; more than 480 in normal and 790 in RcsX-tumor-bearing SJL mouse plasma. Of these, only 191 proteins were found in common. The molecular weights ranged from 2 to 876 kDa, covering the pI values between 4.22 and 12.09, and included proteins with predicted transmembrane domains. By comparing the plasma proteomic profile of normal and RcsX-tumor-bearing SJL mice, we found significant changes in the levels of many proteins in RcsX-tumor-bearing mouse plasma. Most of the up-regulated proteins were identified as acute-phase proteins (APPs). Also, several unique proteins i.e., haptoglobin, proteosome subunits, fetuin-B, 14-3-3 zeta, MAGE-B4 antigen, etc, were found only in the tumor-bearing mouse plasma; either secreted, shed by membrane vesicles, or externalized due to cell death. These results affirm the effectiveness of this approach for protein identification from small samples, and for comparative proteomics in potential animal models of human disorders.

14-3-3 Proteins↗

PubMed2006

Proteomic analysis of ischemia-reperfusion injury upon human liver transplantation reveals the protective role of IQGAP1.

Ischemia-reperfusion injury (IRI) represents a major determinant of liver transplantation. IRI-induced graft dysfunction is related to biliary damage, partly due to a loss of bile canaliculi (BC) integrity associated with a dramatic remodeling of actin cytoskeleton. However, the molecular mechanisms associated with these events remain poorly characterized. Using liver biopsies collected during the early phases of organ procurement (ischemia) and transplantation (reperfusion), we characterized the global patterns of expression and phosphorylation of cytoskeleton-related proteins during hepatic IRI. This targeted functional proteomic approach, which combined protein expression pattern profiling and phosphoprotein enrichment followed by mass spectrometry analysis, allowed us to identify IQGAP1, a Cdc42/Rac1 effector, as a potential regulator of actin cytoskeleton remodeling and maintenance of BC integrity. Cell fractionation and immunohistochemistry revealed that IQGAP1 expression and localization were affected upon IRI and related to actin reorganization. Furthermore using an IRI model in human hepatoma cells, we demonstrated that IQGAP1 silencing decreased the basal level of actin polymerization at BC periphery, reflecting a defect in BC structure coincident with reduced cellular resistance to IRI. In summary, this study uncovered new mechanistic insights into the global regulation of IRI-induced cytoskeleton remodeling and led to the identification of IQGAP1 as a regulator of BC structure. IQGAP1 therefore represents a potential target for the design of new organ preservation strategies to improve transplantation outcome.

Actins↗

PubMed2004

Proteome analysis for identification of target proteins of genistein in primary human endothelial cells stressed with oxidized LDL or homocysteine.

BACKGROUND: Epidemiological studies suggest that soy consumption contributes to the prevention of coronary heart disease. The proposed anti-atherogenic effects of soy appear to be carried by the soy isoflavones with genistein as the most abundant compound. AIM OF THE STUDY: To identify proteins or pathways by which genistein might exert its protective activities on atherosclerosis, we analyzed the proteomic response of primary human umbilical vein endothelial cells (HUVEC) that were exposed to the pro-atherosclerotic stressors homocysteine or oxidized low-density lipoprotein (ox-LDL). METHODS: HUVEC were incubated with physiological concentrations of homocysteine or ox-LDL in the absence and presence of genistein at concentrations that can be reached in human plasma by a diet rich in soy products (2.5 microM) or by pharmacological intervention (25 microM). Proteins from HUVEC were separated by two-dimensional polyacrylamide gel electrophoresis and those that showed altered expression level upon genistein treatment were identified by peptide mass fingerprints derived from tryptic digests of the protein spots. RESULTS: Several proteins were found to be differentially affected by genistein. The most interesting proteins that were potently decreased by homocysteine treatment were annexin V and lamin A. Annexin V is an antithrombotic molecule and mutations in nuclear lamin A have been found to result in perturbations of plasma lipids associated with hypertension. Genistein at low and high concentrations reversed the stressor-induced decrease of these anti-atherogenic proteins. Ox-LDL treatment of HUVEC resulted in an increase in ubiquitin conjugating enzyme 12, a protein involved in foam cell formation. Treatment with genistein at both doses reversed this effect. CONCLUSION: Proteome analysis allows the identification of potential interactions of dietary components in the molecular process of atherosclerosis and consequently provides a powerful tool to define biomarkers of response.

Annexin A5↗

PubMed2004

Affinity-based screening techniques for enhancing lead discovery.

Contemporary, rational small-molecule lead discovery methods, comprising target identification, assay development, high-throughput screening (HTS), hit characterization and medicinal chemistry optimization, dominate early-stage drug discovery strategies in many pharmaceutical companies. There is a growing disparity between the increasing cost of funding these methods and the decreasing number of new drugs reaching the market. New strategies must be adopted to reverse this trend. The use of genomics- and proteomics-based target discovery efforts can aid the process by dramatically increasing the number of novel, more highly validated targets entering the discovery process, but HTS must meet this increased demand with faster, cheaper technologies. Although activity-based screening strategies are typically efficient, allowing one scientist to interrogate tens of thousands of compounds per day, affinity-based screening strategies can allow much greater efficiency in the overall process. Affinity-based methods can play a role in both facilitating the screening of a greater number of targets and in efficiently characterizing the primary hits discovered.

Drug Design↗

PubMed2002

Combinatorial selection of RNA ligands for complex cellular targets : the RNA liagands-based proteomics.

This study explores the selection of high affinity RNA ligands for the complex cellular targets present in crude HeLa nuclear extract through directed evolution and deconvolution. RNA ligands for the mixed nuclear targets were selected from around 6 x 10(14) RNA sequences through an iterated enrichment process. RNA ligands for various gene products of the extract were simultaneously selected and were shown to specifically interact with their target molecules. The target molecules were isolated from the nuclear extract by affinity chromatography using columns tagged with the RNA ligands, resolved on two-dimensional gels, and identified by mass spectrometry. These RNA ligands may be useful in characterizing novel functions of cellular proteins and modulating complex molecular events.

Base Sequence↗

PubMed2004

Proteomics: current techniques and potential applications to lung disease.

Proteomics aims to study the whole protein content of a biological sample in one set of experiments. Such an approach has the potential value to acquire an understanding of the complex responses of an organism to a stimulus. The large vascular and air space surface area of the lung expose it to a multitude of stimuli that can trigger a variety of responses by many different cell types. This complexity makes the lung a promising, but also challenging, target for proteomics. Important steps made in the last decade have increased the potential value of the results of proteomics studies for the clinical scientist. Advances in protein separation and staining techniques have improved protein identification to include the least abundant proteins. The evolution in mass spectrometry has led to the identification of a large part of the proteins of interest rather than just describing changes in patterns of protein spots. Protein profiling techniques allow the rapid comparison of complex samples and the direct investigation of tissue specimens. In addition, proteomics has been complemented by the analysis of posttranslational modifications and techniques for the quantitative comparison of different proteomes. These methodologies have made the application of proteomics on the study of specific diseases or biological processes under clinically relevant conditions possible. The quantity of data that is acquired with these new techniques places new challenges on data processing and analysis. This article provides a brief review of the most promising proteomics methods and some of their applications to pulmonary research.

Animals↗

PubMed2004

A proteomic approach to identify early molecular targets of oxidative stress in human epithelial lens cells.

Oxidative stress is one of the most relevant contributors of cataractogenesis. To identify early protein targets of oxidative stress in lens cells, we used a differential proteomics approach to CD5A human epithelial lens cells treated with 500 microM H2O2 for 30 min. This dose of H2O2 was assayed to induce efficiently a block of cellular proliferation and to activate the oxidative stress-early inducible transcription factor EGR-1 (early growth response gene product 1), previously reported as stimulated factor in a model of cataractogenesis [Nakajima, Nakajima, Fukiage, Azuma and Shearer (2002) Exp. Eye Res. 74, 231-236]. We identified nine proteins, which sensitively reacted to H2O2 treatment by using two-dimensional gel electrophoresis and matrix-assisted laserdesorption ionization-time-of-flight-MS. In addition to cytoskeletal proteins (tubulin 1alpha and vimentin) and enzymes (phosphoglycerate kinase 1, ATP synthase beta, enolase alpha, nucleophosmin and heat-shock cognate 54 kDa protein), which presented quantitative differences in expression profiles, peroxiredoxin and glyceraldehyde 3-phosphate dehydrogenase showed changes in pI as a result of overoxidation. Mass-mapping experiments demonstrated the specific modification of peroxiredoxin I active-site cysteine into cysteic acid, thus providing an explanation for the increase in negative charge measured for this protein. With respect to other global differential approaches based on gene expression analysis, our results allowed us to identify novel molecular targets of oxidative stress in lens cells. These results indicate that a combination of different approaches is required for a complete functional understanding of the biological events triggered by oxidative stress.

Cell Line↗

PubMed2004

A proteomic study of SUMO-2 target proteins.

The SUMO family in vertebrates includes at least three distinct proteins (SUMO-1, -2, and -3) that are added as post-translational modifications to target proteins. A considerable number of SUMO-1 target proteins have been identified, but little is known about SUMO-2. A stable HeLa cell line expressing His6-tagged SUMO-2 was established and used to label and purify novel endogenous SUMO-2 target proteins. Tagged forms of SUMO-2 were functional and localized predominantly in the nucleus. His6-tagged SUMO-2 conjugates were affinity-purified from nuclear fractions and identified by mass spectrometry. Eight novel potential SUMO-2 target proteins were identified by at least two peptides. Three of these proteins, SART1, heterogeneous nuclear ribonucleoprotein (RNP) M, and the U5 small nuclear RNP 200-kDa helicase, play a role in RNA metabolism. SART1 and heterogeneous nuclear RNP M were both shown to be genuine SUMO targets, confirming the validity of the approach.

Antigens, Neoplasm↗

PubMed2006

Proteomics-based expression library screening (PELS): a novel method for rapidly defining microbial immunoproteomes.

Current methodologies for global identification of microbial proteins that elicit host humoral immune responses have several limitations and are not ideally suited for use in the postgenomic era. Here we describe a novel application of proteomics, proteomics-based expression library screening, to rapidly define microbial immunoproteomes. Proteomics-based expression library screening is broadly applicable to any cultivable, sequenced pathogen eliciting host antibody responses and hence is ideal for rapidly mining microbial proteomes for targets with diagnostic, prophylactic, and therapeutic potential. In this report, we demonstrate "proof-of-principle" by identifying 207 proteins of the Escherichia coli O157:H7 immunome in bovine reservoirs in only 3 weeks.

Animals↗

PubMed2006

Relative and absolute quantification of postsynaptic density proteome isolated from rat forebrain and cerebellum.

The postsynaptic density (PSD) of central excitatory synapses is essential for postsynaptic signaling, and its components are heterogeneous among different neuronal subtypes and brain structures. Here we report large scale relative and absolute quantification of proteins in PSDs purified from adult rat forebrain and cerebellum. PSD protein profiles were determined using the cleavable ICAT strategy and LC-MS/MS. A total of 296 proteins were identified and quantified with 43 proteins exhibiting statistically significant abundance change between forebrain and cerebellum, indicating marked molecular heterogeneity of PSDs between different brain regions. Moreover we utilized absolute quantification strategy, in which synthetic isotope-labeled peptides were used as internal standards, to measure the molar abundance of 32 key PSD proteins in forebrain and cerebellum. These data confirm the abundance of calcium/calmodulin-dependent protein kinase II and PSD-95 and reveal unexpected stoichiometric ratios between glutamate receptors, scaffold proteins, and signaling molecules in the PSD. Our data also demonstrate that the absolute quantification method is well suited for targeted quantitative proteomic analysis. Overall this study delineates a crucial molecular difference between forebrain and cerebellar PSDs and provides a quantitative framework for measuring the molecular stoichiometry of the PSD.

Animals↗

PubMed2006

Neural network-based analysis of thiol proteomics data in identifying potential selenium targets.

Generation of a monomethylated selenium metabolite is critical for the anticancer activity of selenium. Because of its strong nucleophilicity, the metabolite can react directly with protein thiols to cause redox modification. Here, we report a neural network-based analysis to identify potential selenium targets. A reactive thiol specific reagent, BIAM, was used to monitor thiol proteome changes on 2D gel. We constructed a dynamic model and evaluated the relative importance of proteins mediating the cellular responses to selenium. Information from this study will provide new clues to unravel mechanisms of anticancer action of selenium. High impact selenium targets could also serve as biomarkers to gauge the efficacy of selenium chemoprevention.

Antineoplastic Agents↗

PubMed2003

Identification of novel target proteins of cyclic GMP signaling pathways using chemical proteomics.

For deciphering the cyclic guanosine monophosphate (cGMP) signaling pathway, we employed chemical proteomics to identify the novel target molecules of cGMP. We used cGMP that was immobilized onto agarose beads with linkers directed at three different positions of cGMP. We performed a pull-down assay using the beads as baits on tissue lysates and identified 9 proteins by MALDI-TOF (Matrix-Assisted Laser Desorption/Ionization Time-of-Flight) mass spectrometry. Some of the identified proteins were previously known cGMP targets, including cGMP-dependent protein kinase and cGMP-stimulated phosphodiesterase. Surprisingly, some of the coprecipitated proteins were never formerly reported to associate with the cGMP signaling pathway. The competition binding assays showed that the interactions are not by nonspecific binding to either the linker or bead itself, but by specific binding to cGMP. Furthermore, we observed that the interactions are highly specific to cGMP against other nucleotides, such as cyclic adenosine monophosphate (cAMP) and 5\'-GMP, which are structurally similar to cGMP. As one of the identified targets, MAPK1 was confirmed by immunoblotting with an anti-MAPK1 antibody. For further proof, we observed that the membrane-permeable cGMP (8-bromo cyclic GMP) stimulated mitogen-activated protein kinase 1 signaling in the treated cells. Our present study suggests that chemical proteomics can be a very useful and powerful technique for identifying the target proteins of small bioactive molecules.

Animals↗

PubMed2004

Proteomic profiling in microdissected hepatocellular carcinoma tissue using ProteinChip technology.

At present, the molecular mechanisms of hepatocellular carcinogenesis are not well understood. It is known, however, that cancer development and progression are accompanied by profound changes at the cellular and subcellular level, involving RNA/DNA and protein structure and function. Therefore, high-throughput, proteomic techniques targeting these biological molecules may provide novel insights into HCC genesis and prognosis. We characterized tissue protein profiles from 10 HCC patients using ProteinChip technology (SELDI) which is able to detect minute amounts of proteins and moreover to analyze complex protein pattern. Therefore, after histopathological examination, proteins from kryostat sections of non-tumorous hepatic tissue as well as from central and peripheral tumor areas were isolated from complete histological sections or from selected and microdissected tissue areas. Analysis on the SAX and WCX ProteinChip Arrays revealed 14-26, and 25-29 differentially expressed peaks respectively, which characterized non-tumorous and tumor tissue (p< or =0.05). One feature which allows differentiation between central tumor and peripheral tumor regions could only be detected in microdissected tissue. Using ProteinChip technology in combination with tissue microdissection it is possible to investigate complex changes at the protein level in hepatocellular cancer associated with tumor development and progression.

Biomarkers, Tumor↗

PubMed2004

Antibodies to soluble liver antigen and alpha-enolase in patients with autoimmune hepatitis.

BACKGROUND: Antibodies to a cytosolic soluble liver antigen (SLA) are specifically detected in patients with autoimmune hepatitis (AIH). The target of anti-SLA has been identified as a ~50 kDa UGA serine tRNA-associated protein complex (tRNP(Ser)Sec), through the screening of cDNA libraries. A recent report questioned the identity of tRNP(Ser)Sec as the real SLA antigen. The latter study identified alpha-enolase as a major anti-SLA target, through proteomic analysis. METHODS: In an attempt to explain the observed discrepancy we have investigated reactivity of SLA positive sera against alpha-enolase and tRNP(Ser)Sec using rat and primate liver homogenate and the recombinant antigens. Thirty-three serum samples, 11 from SLA-positive patients and 22 from SLA negative controls were investigated. SLA antibodies were detected by an inhibition ELISA and confirmed by immunoblot using human liver homogenate. Autoantibody reactivity was further evaluated using preparations of primate and rat liver homogenates. Anti-alpha-enolase antibody reactivity has been tested by immunoblot using recombinant alpha-enolase. An affinity purified goat polyclonal anti-alpha-enolase IgG antibody was used as reference serum sample. Anti-tRNP(Ser)Sec antibody reactivity was detected by ELISA or dot blot using recombinant tRNP(Ser)Sec antigen. RESULTS AND DISCUSSION: The affinity purified IgG antibody directed to human alpha-enolase gave a band of approximately 48 kDa in both human and rat liver homogenates. A high titre anti-tRNP(Ser)Sec antibody serum gave a single band of ~50 kDa in both liver preparations. All but one anti-SLA antibody positive sera reacted with a ~50 kDa but none immunofixed a 48 kDa band. All anti-SLA antibody positive sera reacted strongly with the recombinant full length tRNP(Ser)Sec protein. None of the anti-SLA negative sera reacted with tRNP(Ser)Sec. Anti-SLA positive, and anti-SLA negative sera reacted equally against recombinant alpha-enolase by immunoblot. Pre-incubation of anti-SLA positive sera with tRNP(Ser)Sec completely abolished the 50 kDa band. The findings of the present study indicate that alpha-enolase and tRNP(Ser)Sec are both expressed in primate and rat liver and have a respective MW of 48 and 50 kDa. They also show that anti-tRNP(Ser)Sec - but not anti-alpha-enolase - correlates with anti-SLA antibody reactivity. CONCLUSION: Our findings indicate that tRNP(Ser)Sec is the most likely target of anti-SLA.

Journal Article↗

PubMed2025

Pitavastatin, Procollagen Pathways, and Plaque Stabilization in Patients With HIV: A Secondary Analysis of the REPRIEVE Randomized Clinical Trial.

IMPORTANCE: In a mechanistic substudy of the Randomized Trial to Prevent Vascular Events in HIV (REPRIEVE) randomized clinical trial, pitavastatin reduced noncalcified plaque (NCP) volume, but specific protein and gene pathways contributing to changes in coronary plaque remain unknown. OBJECTIVE: To use targeted discovery proteomics and transcriptomics approaches to interrogate biological pathways beyond low-density lipoprotein cholesterol (LDL-C), relating statin outcomes to reduce NCP volume and promote plaque stabilization among people with HIV (PWH). DESIGN, SETTING, AND PARTICIPANTS: This was a post hoc analysis of the double-blind, placebo-controlled, REPRIEVE randomized clinical trial. Participants underwent coronary computed tomography angiography (CTA), plasma protein analysis, and transcriptomic analysis at baseline and 2-year follow-up. The trial enrolled PWH from April 2015 to February 2018 at 31 US research sites. PWH without known cardiovascular diseases taking antiretroviral therapy and with low to moderate 10-year cardiovascular risk were eligible. Data analyses were conducted from October 2023 to February 2024. INTERVENTION: Oral pitavastatin calcium, 4 mg per day. MAIN OUTCOMES AND MEASURES: Relative change in plasma proteomics, transcriptomics, and noncalcified plaque volume among those receiving treatment vs placebo. RESULTS: Among 558 individuals (mean [SD] age, 51 [6] years; 455 male [82%]) included in the proteomics assessment, 272 (48.7%) received pitavastatin and 286 (51.3%) received placebo. After adjusting for false discovery rates, pitavastatin increased abundance of procollagen C-endopeptidase enhancer 1 (PCOLCE), neuropilin 1 (NRP-1), major histocompatibility complex class I polypeptide-related sequence A (MIC-A) and B (MIC-B), and decreased abundance of tissue factor pathway inhibitor (TFPI), tumor necrosis factor ligand superfamily member 10 (TRAIL), angiopoietin-related protein 3 (ANGPTL3), and mannose-binding protein C (MBL2). Among these proteins, the association of pitavastatin with PCOLCE (a rate-limiting enzyme of collagen deposition) was greatest, with an effect size of 24.3% (95% CI, 18.0%-30.8%; P < .001). In a transcriptomic analysis, individual collagen genes and collagen gene sets showed increased expression. Among the 195 individuals with plaque at baseline (88 [45.1%] taking pitavastatin, 107 [54.9%] taking placebo), changes in NCP volume were most strongly associated with changes in PCOLCE (%change NCP volume/log2-fold change = -31.9%; 95% CI, -42.9% to -18.7%; P < .001), independent of changes in LDL-C level. Increases in PCOLCE related most strongly to change in the fibro-fatty (<130 Hounsfield units) component of NCP (%change fibro-fatty volume/log2-fold change = -38.5%; 95% CI, -58.1% to -9.7%; P = .01) with a directionally opposite, although nonsignificant, increase in calcified plaque (%change calcified volume/log2-fold change = 34.4%; 95% CI, -7.9% to 96.2%; P = .12). CONCLUSIONS AND RELEVANCE: Results of this secondary analysis of the REPRIEVE randomized clinical trial suggest that PCOLCE may be associated with the atherosclerotic plaque stabilization effects of statins by promoting collagen deposition in the extracellular matrix transforming vulnerable plaque phenotypes to more stable coronary lesions. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT02344290.

Humans↗