ArticleScience translational medicine2018
An optical nanoreporter of endolysosomal lipid accumulation reveals enduring effects of diet on hepatic macrophages in vivo.
Article in Science translational medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.
What it found
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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.
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Who cites it
54 citing papers in PubMed, 112 citations in OpenAlex.
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- Near-Infrared Fluorescent Single-Walled Carbon Nanotubes for Biosensing.Small (Weinheim an der Bergstrasse, Germany) · 2025Review
- Multiplexed Molecularly-Specific SWCNT Cytokine Sensing is Enabled and Enhanced by Amine-Functionalized DNA Aqueous Two-Phase Extraction.bioRxiv : the preprint server for biology · 2025Article
- Spatiotemporal molecular tracing of ultralow-volume biofluids via a soft skin-adaptive optical monolithic patch sensor.Nature communications · 2025Article
- Detection of Estrogen Receptor Status in Breast Cancer Cytology Samples by an Optical Nanosensor.Advanced nanobiomed research · 2025Article
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- In situ editing of tumour cell membranes induces aggregation and capture of PD-L1 membrane proteins for enhanced cancer immunotherapy.Nature communications · 2024Article
- Near-Infrared Photoluminescence Responses of Single-Walled Carbon Nanotubes Induced by Biomolecules Detected on a Microbead Surface.ACS omega · 2024Article
- Dynamic Tracking of Biological Processes Using Near-Infrared Fluorescent Single-Walled Carbon Nanotubes.ACS applied materials & interfaces · 2024Review
- Facile Incorporation of Carbon Nanotubes into the Concrete Matrix Using Lignosulfonate Surfactants.Materials (Basel, Switzerland) · 2024Article
- Development of sterile platform for quantification of extracellular analytes via single walled carbon nanotubes.Analytical biochemistry · 2024Article
- Cytometry in the Short-Wave Infrared.ACS nano · 2024Article
- Noninvasive Injectable Optical Nanosensor-Hydrogel Hybrids Detect Doxorubicin in Living Mice.Advanced optical materials · 2024Article
- Development and Evaluation of an Expedited System for Creation of Single Walled Carbon Nanotube Platforms.Carbon letters · 2024Article
- Optical Nanosensor Passivation Enables Highly Sensitive Detection of the Inflammatory Cytokine Interleukin-6.ACS applied materials & interfaces · 2024Article
- Monitoring Enzyme Activity Using Near-Infrared Fluorescent Single-Walled Carbon Nanotubes.ACS sensors · 2024Review
Corrections and comments
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Authors and funding
16 authors at 6 institutions in 1 country.
Funding
Abstract
The abnormal accumulation of lipids within the endolysosomal lumen occurs in many conditions, including lysosomal storage disorders, atherosclerosis, nonalcoholic fatty liver disease (NAFLD), and drug-induced phospholipidosis. Current methods cannot monitor endolysosomal lipid content in vivo, hindering preclinical drug development and research into the mechanisms linking endolysosomal lipid accumulation to disease progression. We developed a single-walled carbon nanotube-based optical reporter that noninvasively measures endolysosomal lipid accumulation via bandgap modulation of its intrinsic near-infrared emission. The reporter detected lipid accumulation in Niemann-Pick disease, atherosclerosis, and NAFLD models in vivo. By applying the reporter to the study of NAFLD, we found that elevated lipid quantities in hepatic macrophages caused by a high-fat diet persist long after reverting to a normal diet. The reporter dynamically monitored endolysosomal lipid accumulation in vivo over time scales ranging from minutes to weeks, indicating its potential to accelerate preclinical research and drug development processes.
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Registered trials
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.