Evidence map›Paper›PMID 40323304›Full record

ArticleACS nano2025

Self-Assembly of Nanogold Triplets on Trimeric Viral Proteins for Infectious Disease Diagnosis.

Wenpeng Liu, Ahmed Soliman, Hagar E Emam, Jun Zhang, Joseph V Bonventre, Luke P Lee, Mahmoud L Nasr

Abstract read
In one paragraph

Article in ACS nano, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Coarse-Graining Self-Assembly by the Stochastic Landscape Method.Journal of chemical theory and computation · 2025
    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

7 authors.

Wenpeng LiuRenal Division and Division of Engineering in Medicine, Department of Medicine, Brigham Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, United States.ORCID 0000-0002-2932-1321
Ahmed SolimanRenal Division and Division of Engineering in Medicine, Department of Medicine, Brigham Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, United States.ORCID 0000-0003-2329-522X
Hagar E EmamRenal Division and Division of Engineering in Medicine, Department of Medicine, Brigham Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, United States.ORCID 0009-0000-0203-9126
Jun ZhangDepartment of Neurobiology, Harvard Medical School, Boston, Massachusetts 02115, United States.ORCID 0000-0002-1289-0624
Joseph V BonventreRenal Division and Division of Engineering in Medicine, Department of Medicine, Brigham Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, United States.ORCID 0000-0001-7144-386X
Luke P LeeRenal Division and Division of Engineering in Medicine, Department of Medicine, Brigham Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, United States.ORCID 0000-0002-1436-4054
Mahmoud L NasrRenal Division and Division of Engineering in Medicine, Department of Medicine, Brigham Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, United States.ORCID 0000-0003-0712-8667

Funding

Boston Biomedical Innovation CenterU54HL119145 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI GOLAN, DAVID E., LOSCALZO, JOSEPH · 2013 to 2021
$18.8M
Rapid saliva antigen test for SARS-CoV-2 detectionU01HL146002 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI ARONICA, MARK A, CASTRO, MARIO · 2019 to 2023
$17.3M
KIDNEY INJURY MOLECULE-1 IN EPITHELIAL REPAIRR01DK072381 · NIDDK · BRIGHAM AND WOMEN'S HOSPITAL · PI BONVENTRE, JOSEPH VINCENT · 2005 to 2025
$8.6M
Mechanisms of Ischemic Kidney Injury and RepairR37DK039773 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI BONVENTRE, JOSEPH VINCENT · 1993 to 2021
$5.2M
Early detection of type 1 diabetes via Exosome Technology with Optoelectronics Lab-on-chip: EXTOLR01DK133864 · NIDDK · BRIGHAM AND WOMEN'S HOSPITAL · PI GAGLIA, JASON, GUO, FENG · 2022 to 2025
$3.0M
NHLBI NIH HHS U01 HL146002NHLBI NIH HHS U54 HL119145NIDDK NIH HHS R01 DK072381NIDDK NIH HHS R01 DK133864NIDDK NIH HHS R37 DK039773
6 · The paper itself

Abstract

Timely and accurate diagnostics for infectious diseases are essential in preventing their worldwide spread. Though rapid diagnostic tests are favored for their speed, cost-effectiveness, and ease of use, most tests compromise sensitivity, which risks false-negative results. Here, we present the self-assembly of nanogold triplets on trimeric viral surface proteins for a sensitive colorimetric assay to identify viruses. Gold triplets were self-assembled on the viral trimeric surface proteins using ultrasmall gold nanoparticles. We observed a significant wavelength shift of 70 nm, enabling straightforward naked-eye detection through gold triplets that act as catalysts for producing nanoplasmonic viruses. We established the detection limit of 3 × 10

Indexed as

COVID-19GoldMetal NanoparticlesSARS-CoV-2Viral ProteinsColorimetryHumansLimit of DetectionGoldViral Proteinsantigen testcolorimetric diagnosticsnanoplasmonicsviral trimeric surface proteinsvirus

Identifiers

PMID40323304
PMCPMC13671160

What OpenQuestion holds

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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.