Evidence map›Paper›PMID 35474963›Full record

ArticleCell reports methods2022

Multiparametric platform for profiling lipid trafficking in human leukocytes.

Simon G Pfisterer, Ivonne Brock, Kristiina Kanerva, Iryna Hlushchenko, Lassi Paavolainen, Pietari Ripatti, Mohammad Majharul Islam, Aija Kyttälä, Maria D Di Taranto, Annalisa Scotto di Frega and 6 more

Open access · goldAbstract read
In one paragraph

Article in Cell reports methods, 2022. 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
1.7field-weighted citation impact, top 17% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

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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

16 authors at 5 institutions in 4 countries.

Simon G PfistererDepartment of Anatomy, Faculty of Medicine, University of Helsinki, Haartmaninkatu 8, 00290 Helsinki, Finland.
Ivonne BrockDepartment of Anatomy, Faculty of Medicine, University of Helsinki, Haartmaninkatu 8, 00290 Helsinki, Finland.
Kristiina KanervaDepartment of Anatomy, Faculty of Medicine, University of Helsinki, Haartmaninkatu 8, 00290 Helsinki, Finland.
Iryna HlushchenkoDepartment of Anatomy, Faculty of Medicine, University of Helsinki, Haartmaninkatu 8, 00290 Helsinki, Finland.
Lassi PaavolainenInstitute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland.
Pietari RipattiInstitute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland.
Mohammad Majharul IslamDepartment of Anatomy, Faculty of Medicine, University of Helsinki, Haartmaninkatu 8, 00290 Helsinki, Finland.
Aija KyttäläFinnish Institute for Health and Welfare (THL), THL Biobank, Helsinki, Finland.
Maria D Di TarantoDepartment of Molecular Medicine and Medical Biotechnologies, University of Naples Federico II, Napoli, Italy.
Annalisa Scotto di FregaCEINGE Biotecnologie Avanzate scarl Naples, Napoli, Italy.
Giuliana FortunatoDepartment of Molecular Medicine and Medical Biotechnologies, University of Naples Federico II, Napoli, Italy.
Johanna KuusistoDepartment of Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland.
Peter HorvathInstitute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland.
Samuli RipattiInstitute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland.
Markku LaaksoDepartment of Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland.
Elina IkonenDepartment of Anatomy, Faculty of Medicine, University of Helsinki, Haartmaninkatu 8, 00290 Helsinki, Finland.
University of Helsinki · FICeinge Biotecnologie Avanzate (Italy) · ITUniversity of Eastern Finland · FIBroad Institute · USFinnish Institute for Health and Welfare · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Systematic insight into cellular dysfunction can improve understanding of disease etiology, risk assessment, and patient stratification. We present a multiparametric high-content imaging platform enabling quantification of low-density lipoprotein (LDL) uptake and lipid storage in cytoplasmic droplets of primary leukocyte subpopulations. We validate this platform with samples from 65 individuals with variable blood LDL-cholesterol (LDL-c) levels, including familial hypercholesterolemia (FH) and non-FH subjects. We integrate lipid storage data into another readout parameter, lipid mobilization, measuring the efficiency with which cells deplete lipid reservoirs. Lipid mobilization correlates positively with LDL uptake and negatively with hypercholesterolemia and age, improving differentiation of individuals with normal and elevated LDL-c. Moreover, combination of cell-based readouts with a polygenic risk score for LDL-c explains hypercholesterolemia better than the genetic risk score alone. This platform provides functional insights into cellular lipid trafficking and has broad possible applications in dissecting the cellular basis of metabolic disorders.

Indexed as

HypercholesterolemiaHyperlipoproteinemia Type IICholesterol, LDLHumansLeukocytesRisk FactorsCholesterol, LDLautomated image analysisFHhigh-content imaginghypercholesterolemiaLDLLDLRLDL uptakelipid dropletobesity

Identifiers

PMID35474963
PMCPMC9017167
OpenAlexW4210844593

What OpenQuestion holds

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Registered trials

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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.