Evidence map›Paper›PMID 39974950›Full record

ArticlebioRxiv : the preprint server for biology2025

SHINE: SERS-based Hepatotoxicity detection using Inference from Nanoscale Extracellular vesicle content.

Ugur Parlatan, Luke Boudreau, Hulya Torun, Letao Fan, Ugur Aygun, Ayse Aslihan Gokaltun, Demir Akin, O Berk Usta, Utkan Demirci

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Ugur ParlatanBio-Acoustic MEMS in Medicine (BAMM) Lab, Canary Center at Stanford, Department of Radiology, School of Medicine, Stanford University, California, CA, 94304, USA.
Luke BoudreauCenter for Engineering in Medicine and Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA.
Hulya TorunBio-Acoustic MEMS in Medicine (BAMM) Lab, Canary Center at Stanford, Department of Radiology, School of Medicine, Stanford University, California, CA, 94304, USA.
Letao FanCenter for Engineering in Medicine and Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA.
Ugur AygunBio-Acoustic MEMS in Medicine (BAMM) Lab, Canary Center at Stanford, Department of Radiology, School of Medicine, Stanford University, California, CA, 94304, USA.
Ayse Aslihan GokaltunCenter for Engineering in Medicine and Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA.
Demir AkinBio-Acoustic MEMS in Medicine (BAMM) Lab, Canary Center at Stanford, Department of Radiology, School of Medicine, Stanford University, California, CA, 94304, USA.
O Berk UstaCenter for Engineering in Medicine and Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA.
Utkan DemirciBio-Acoustic MEMS in Medicine (BAMM) Lab, Canary Center at Stanford, Department of Radiology, School of Medicine, Stanford University, California, CA, 94304, USA.

Funding

On Demand Dissoluble Supramolecular Hydrogels: Towards Pain Free Burn DressingsR01AR081529 · NIAMS · MASSACHUSETTS GENERAL HOSPITAL · PI Ayse Asatekin, Osman Berk USTA · 2023 to 2026
$1.9M
Deep Supercooling of Liver Cells and 2D and 3D Tissue Constructs: Effect of AttachmentR21GM136002 · NIGMS · MASSACHUSETTS GENERAL HOSPITAL · PI USTA, OSMAN BERK · 2019 to 2020
$462k
Early Toxicity Detection Technologies via Exosomal Signatures in 3D Hepatic TissuesR21GM140656 · NIGMS · MASSACHUSETTS GENERAL HOSPITAL · PI USTA, OSMAN BERK · 2022 to 2023
$462k
NIAMS NIH HHS R01 AR081529NIGMS NIH HHS R21 GM136002NIGMS NIH HHS R21 GM140656
6 · The paper itself

Abstract

Extracellular vesicles (EV) are becoming crucial tools in liquid biopsy, diagnostics, and therapeutic applications, yet their nanoscale characterization remains challenging. In this context, the detection of drug-induced liver injury,

Identifiers

PMID39974950
PMCPMC11838255

What OpenQuestion holds

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LicenceCC BY-NC
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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.