Evidence map›Paper›PMID 36354195›Full record

ArticleSmall (Weinheim an der Bergstrasse, Germany)2023

Monocrystalline Labeling Enables Stable Plasmonic Enhancement for Isolation-Free Extracellular Vesicle Analysis.

Shu Wang, Wenshu Zheng, Ruixuan Wang, Lili Zhang, Li Yang, Tao Wang, Julian G Saliba, Sutapa Chandra, Chen-Zhong Li, Christopher J Lyon and 1 more

Open access · greenAbstract read
In one paragraph

Article in Small (Weinheim an der Bergstrasse, Germany), 2023. 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
0.8field-weighted citation impact, top 30% 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, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
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 1 institution in 1 country.

Shu WangCenter for Cellular and Molecular Diagnostics, Tulane University School of Medicine, 1430 Tulane Ave, New Orleans, LA, 70112, USA.
Wenshu ZhengCenter for Cellular and Molecular Diagnostics, Tulane University School of Medicine, 1430 Tulane Ave, New Orleans, LA, 70112, USA.
Ruixuan WangCenter for Cellular and Molecular Diagnostics, Tulane University School of Medicine, 1430 Tulane Ave, New Orleans, LA, 70112, USA.
Lili ZhangCenter for Cellular and Molecular Diagnostics, Tulane University School of Medicine, 1430 Tulane Ave, New Orleans, LA, 70112, USA.
Li YangCenter for Cellular and Molecular Diagnostics, Tulane University School of Medicine, 1430 Tulane Ave, New Orleans, LA, 70112, USA.
Tao WangCenter for Cellular and Molecular Diagnostics, Tulane University School of Medicine, 1430 Tulane Ave, New Orleans, LA, 70112, USA.
Julian G SalibaCenter for Cellular and Molecular Diagnostics, Tulane University School of Medicine, 1430 Tulane Ave, New Orleans, LA, 70112, USA.
Sutapa ChandraCenter for Cellular and Molecular Diagnostics, Tulane University School of Medicine, 1430 Tulane Ave, New Orleans, LA, 70112, USA.
Chen-Zhong LiCenter for Cellular and Molecular Diagnostics, Tulane University School of Medicine, 1430 Tulane Ave, New Orleans, LA, 70112, USA.
Christopher J LyonCenter for Cellular and Molecular Diagnostics, Tulane University School of Medicine, 1430 Tulane Ave, New Orleans, LA, 70112, USA.
Tony Y HuCenter for Cellular and Molecular Diagnostics, Tulane University School of Medicine, 1430 Tulane Ave, New Orleans, LA, 70112, USA.ORCID 0000-0001-7255-5409
Tulane University · US

Funding

Direct quantitation of the circulating Mtb-peptidome for pediatric TB managementR01HD090927 · NICHD · TULANE UNIVERSITY OF LOUISIANA · PI Christopher J Lyon, Charles DeBeaux Mitchell · 2017 to 2026
$4.5M
Mtb and HIV/SIV antigen peptide signatures as blood biomarkers to detect early infection to active disease in young children and NHPR01HD103511 · NICHD · TULANE UNIVERSITY OF LOUISIANA · PI LYON, CHRISTOPHER J · 2021 to 2025
$3.7M
Digital Nanoplasmonic Quantification of Tumor-derived Extracellular Vesicles in Plasma MicrosamplesU01CA252965 · NCI · TULANE UNIVERSITY OF LOUISIANA · PI HU, TONY Y., LU, HUA · 2020 to 2024
$3.0M
A nanopore biosensor for leveling Mtb antigens in bloodR01AI144168 · NIAID · TULANE UNIVERSITY OF LOUISIANA · PI Christopher J Lyon · 2022 to 2026
$3.0M
Multiplexed detection of cell-free M. Tuberculosis DNA and its drug-resistant variants in bloodR01AI175618 · NIAID · TULANE UNIVERSITY OF LOUISIANA · PI Zhen Huang, Jeffrey Tornheim · 2023 to 2026
$2.9M
Quantification of brain-derived extracellular vesicle microRNAs in blood by a liposome-mediated CRISPR assay for traumatic brain injury detectionR21NS130542 · NINDS · TULANE UNIVERSITY OF LOUISIANA · PI HU, TONY Y. · 2022 to 2022
$437k
Mobile based Nanoplasmonic Quantification of Mtb-derived Exosomes in Serum for Pediatric TB diagnosisR21EB026347 · NIBIB · TULANE UNIVERSITY OF LOUISIANA · PI LYON, CHRISTOPHER J · 2019 to 2020
$367k
NCI NIH HHS U01 CA252965NIAID NIH HHS R01 AI144168NIAID NIH HHS R01 AI175618NIBIB NIH HHS R21 EB026347NICHD NIH HHS R01 HD090927NICHD NIH HHS R01 HD103511NINDS NIH HHS R21 NS130542
6 · The paper itself

Abstract

Sensitive detection of extracellular vesicles (EVs) as emerging biomarkers has shown great promises for disease diagnosis. Plasmonic metal nanostructures conjugated with molecules that bind specific biomarker targets are widely used for EVs sensing but involve tradeoffs between particle-size-dependent signal intensity and conjugation efficiency. One solution to this problem would be to induce nucleation on nanoparticles that have successfully bound a target biomarker to permit in situ nanoparticle growth for signal amplification, but approaches that are evaluated to date require harsh conditions or lack nucleation specificity, prohibiting their effective use with most biological specimens. This study describes a one-step in situ strategy to induce monocrystalline copper shell growth on gold nanorod probes without decreasing signal by disrupting probe-target interactions or lipid bilayer integrity to enable EV biomarker detections. This approach increases the detected nanoparticle signal about two orders of magnitude after a 10 min copper nanoshell growth reaction. This has significant implications for improved disease detection, as indicated by the ability of a novel immunoassay using this approach to detect low abundance EVs carrying a pathogen-derived biomarker, after their direct capture from serum, to facilitate the diagnosis of tuberculosis cases in a diagnostically challenging pediatric cohort.

Indexed as

Extracellular VesiclesNanoparticlesBiomarkersChildCopperHumansLipid BilayersBiomarkersCopperLipid Bilayersdiagnosisextracellular vesiclesisolation-free analysismonocrystallineplasmonic enhancement

Identifiers

PMID36354195
PMCPMC9839537
OpenAlexW4308684167

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.