Evidence map›Paper›PMID 40017001›Full record

ArticleAdvanced biology2025

Label-Free Detection of Lipid Accumulation in Cells Using Magnetic Levitation.

Kazim Kerim Moncal, Laeya Abdoli Najmi, Rakhi Gupta, Malavika Ramarao, Joshua W Knowles, Chong Y Park, Naside Gozde Durmus

Abstract read
In one paragraph

Article in Advanced biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Kazim Kerim MoncalMolecular Imaging Program at Stanford (MIPS), Department of Radiology, Stanford University, Stanford, CA, 94305, USA.
Laeya Abdoli NajmiDivision of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, 94305, USA.
Rakhi GuptaMolecular Imaging Program at Stanford (MIPS), Department of Radiology, Stanford University, Stanford, CA, 94305, USA.
Malavika RamaraoMolecular Imaging Program at Stanford (MIPS), Department of Radiology, Stanford University, Stanford, CA, 94305, USA.
Joshua W KnowlesDivision of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, 94305, USA.
Chong Y ParkDivision of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, 94305, USA.
Naside Gozde DurmusMolecular Imaging Program at Stanford (MIPS), Department of Radiology, Stanford University, Stanford, CA, 94305, USA.ORCID https://orcid.org/0000-0002-7956-5666

Funding

Stanford Islet Research CoreP30DK116074 · NIDDK · STANFORD UNIVERSITY · PI Seung K Kim · 2017 to 2026
$19.5M
Characterization of novel insulin resistance genes by gene editing, high-throughput phenotyping and in vivo studiesR01DK120565 · NIDDK · STANFORD UNIVERSITY · PI KNOWLES, JOSHUA WILEY · 2019 to 2023
$3.2M
Mechanisms of NAT2 Regulation of Insulin Resistance and Mitochondrial DysfunctionR01DK116750 · NIDDK · STANFORD UNIVERSITY · PI KNOWLES, JOSHUA WILEY · 2019 to 2023
$2.4M
Beyond GWAS of insulin resistance: An integrated approach to translate genetic association to functionR01DK106236 · NIDDK · STANFORD UNIVERSITY · PI KNOWLES, JOSHUA WILEY · 2016 to 2020
$2.4M
Molecular Mechanisms of Insulin Resistance Associated LociR01DK107437 · NIDDK · STANFORD UNIVERSITY · PI QUERTERMOUS, THOMAS · 2016 to 2019
$2.2M
Molecular Mechanisms of Insulin Resistance Associated LociR01DK137889 · NIDDK · STANFORD UNIVERSITY · PI Joshua Wiley Knowles · 2024 to 2026
$1.8M
Synergizing Common Fund Data from MoTrPAC and LINCS for the Discovery of Novel Exercise Mimetic DrugsR03OD038388 · OD · STANFORD UNIVERSITY · PI KNOWLES, JOSHUA WILEY · 2024 to 2024
$309k
Burroughs Wellcome FoundationCareer Award at the Scientific InterfaceNIDDK NIH HHS P30 DK116074NIDDK NIH HHS R01 DK106236NIDDK NIH HHS R01 DK116750NIDDK NIH HHS R01 DK120565NIDDK NIH HHS R01 DK137889NIH HHS ADA 1-19-JDF-108NIH HHS P30DK116074NIH HHS R01 DK106236NIH HHS R01 DK107437NIH HHS R01 DK116750NIH HHS R01 DK120565NIH HHS R01 DK137889NIH HHS R03 OD038388
6 · The paper itself

Abstract

Dysfunction in adipose tissue can cause serious health problems, including obesity, type-2 diabetes, and cardiovascular disease, significantly reducing human life expectancy. Differences in differentiation and lipid accumulation in adipocytes reflect their functional status, making it important to characterize adipocytes by monitoring biophysical changes during adipogenic differentiation. However, there is currently no specific cell surface marker to separate mature adipocytes from non-adipose cells based on their lipid content, and separation of mature adipocytes is challenging due to handling limitations without fixation, antibody staining, or particle conjugation. Here, we report a biomarker-free, magnetic levitation-based method to detect density changes and quantify the accumulation of lipid-rich droplets within differentiating adipogenic cells. Magnetic levitation revealed density changes within preadipocytes differentiating towards mature adipocytes, with density decreasing over time as cells accumulated lipids. We then used lipid droplets as an intracellular marker to quantify lipid accumulation in single adipocytes during adipogenesis. The significant density changes correlated with cell morphology and lipid droplet morphology within the cytoplasm. For the first time, free-floating lipid vesicle density was measured using magnetic levitation. This unique method enables efficient detection and quantification of dynamically evolving lipid droplets in cells, proving beneficial for modeling lipid storage-related diseases and drug screening applications.

Indexed as

AdipocytesAdipogenesisLipid DropletsLipid MetabolismMagnetics3T3-L1 CellsAnimalsCell DifferentiationHumansMiceadipocytesdensitylabel‐free cytometrylipid accumulationmagnetic levitation

Identifiers

PMID40017001
PMCPMC12947845

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.