Evidence map›Paper›PMID 37880910›Full record

ArticleSmall (Weinheim an der Bergstrasse, Germany)2024

Protein Corona Sensor Array Nanosystem for Detection of Coronary Artery Disease.

Gha Young Lee, Andrew A Li, Intae Moon, Demos Katritsis, Yoannis Pantos, Francesco Stingo, Davide Fabbrico, Roberto Molinaro, Francesca Taraballi, Wei Tao and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Small (Weinheim an der Bergstrasse, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 38% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 8 institutions in 3 countries.

Gha Young LeeCenter for Nanomedicine, Department of Anesthesiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA.
Andrew A LiTepper School of Business, Carnegie Mellon University, Pittsburgh, PA, 15213, USA.
Intae MoonDepartment of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, 4307, USA.
Demos KatritsisComprehensive Cardiology Care at Hygeia Hospital, Athens, 15123, Greece.
Yoannis PantosComprehensive Cardiology Care at Hygeia Hospital, Athens, 15123, Greece.
Francesco StingoDepartment of Statistics, Computer Sciences and Applications, University of Florence, Florence, 50121, Italy.
Davide FabbricoDepartment of Statistics, Computer Sciences and Applications, University of Florence, Florence, 50121, Italy.
Roberto MolinaroDepartment of Cardiovascular, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA.
Francesca TaraballiCenter for Musculoskeletal Regeneration, Houston Methodist Academic Institute & Orthopedics and Sports Medicine, Houston Methodist Hospital, Houston, TX, 77030, USA.
Wei TaoCenter for Nanomedicine, Department of Anesthesiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA.
Claudia CorboUniversity of Milano-Bicocca, Department of Medicine and Surgery, NANOMIB Center, Monza, 20900, Italy.ORCID 0000-0001-6468-2571
Brigham and Women's Hospital · USUniversity of Florence · ITCarnegie Mellon University · USHouston Methodist · USHygeia Hospital · GRIstituto Ortopedico Galeazzi · ITJohns Hopkins University · USMassachusetts Institute of Technology · US

Funding

Medical Scientist Training ProgramT32GM007753 · NIGMS · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI WALENSKY, LOREN DAVID · 1985 to 2021
$50.0M
Medical Scientist Training ProgramT32GM144273 · NIGMS · HARVARD MEDICAL SCHOOL · PI David Shumway Jones, Jacqueline A. Lees · 2022 to 2026
$14.7M
NIGMS NIH HHS T32 GM007753NIGMS NIH HHS T32 GM144273
6 · The paper itself

Abstract

Coronary artery disease (CAD) is the most common type of heart disease and represents the leading cause of death in both men and women worldwide. Early detection of CAD is crucial for decreasing mortality, prolonging survival, and improving patient quality of life. Herein, a non-invasive is described, nanoparticle-based diagnostic technology which takes advantages of proteomic changes in the nano-bio interface for CAD detection. Nanoparticles (NPs) exposed to biological fluids adsorb on their surface a layer of proteins, the "protein corona" (PC). Pathological changes that alter the plasma proteome can directly result in changes in the PC. By forming disease-specific PCs on six NPs with varying physicochemical properties, a PC-based sensor array is developed for detection of CAD using specific PC pattern recognition. While the PC of a single NP may not provide the required specificity, it is reasoned that multivariate PCs across NPs with different surface chemistries, can provide the desirable information to selectively discriminate the condition under investigation. The results suggest that such an approach can detect CAD with an accuracy of 92.84%, a sensitivity of 87.5%, and a specificity of 82.5%. These new findings demonstrate the potential of PC-based sensor array detection systems for clinical use.

Indexed as

Coronary Artery DiseaseNanoparticlesProtein CoronaFemaleHumansProteomeProteomicsQuality of LifeProtein CoronaProteomecardiovascular disease detectionnano-assaynanomedicineprotein coronasensor arrays

Identifiers

PMID37880910
PMCPMC11573401
OpenAlexW4387950316

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.