Evidence map›Paper›PMID 41731721›Full record

ArticleAnalytical chemistry2026

A Validated Mass Spectrometry Platform for Oxysterol Analysis of Single Human Gastruloids and Liver Organoids.

Kristina Sæterdal Kømurcu, Malgorzata Elzbieta Zawadzka, Igor Meszka, Aleksandra Aizenshtadt, Helena Hrušková, Lydia Emilie Aakervik, James L Thorne, Steven Ray Wilson, Stefan Johannes Karl Krauss, Hanne Røberg-Larsen

Abstract readValidation Study
In one paragraph

Article in Analytical chemistry, 2026. 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

10 authors.

Kristina Sæterdal KømurcuDepartment of Chemistry, University of Oslo, P.O. Box 1033 Blindern, Oslo 0315, Norway.
Malgorzata Elzbieta ZawadzkaDepartment of Chemistry, University of Oslo, P.O. Box 1033 Blindern, Oslo 0315, Norway.
Igor MeszkaHybrid Technology Hub - Centre of Excellence, Institute of Basic Medical Sciences, University of Oslo, P.O. Box 1110 Blindern, Oslo 0317, Norway.
Aleksandra AizenshtadtHybrid Technology Hub - Centre of Excellence, Institute of Basic Medical Sciences, University of Oslo, P.O. Box 1110 Blindern, Oslo 0317, Norway.
Helena HruškováDepartment of Chemistry, University of Oslo, P.O. Box 1033 Blindern, Oslo 0315, Norway.
Lydia Emilie AakervikDepartment of Chemistry, University of Oslo, P.O. Box 1033 Blindern, Oslo 0315, Norway.
James L ThorneSchool of Food Science and Nutrition, University of Leeds, Leeds LS2 9JT, United Kingdom.
Steven Ray WilsonDepartment of Chemistry, University of Oslo, P.O. Box 1033 Blindern, Oslo 0315, Norway.ORCID 0000-0002-9755-1188
Stefan Johannes Karl KraussHybrid Technology Hub - Centre of Excellence, Institute of Basic Medical Sciences, University of Oslo, P.O. Box 1110 Blindern, Oslo 0317, Norway.
Hanne Røberg-LarsenDepartment of Chemistry, University of Oslo, P.O. Box 1033 Blindern, Oslo 0315, Norway.ORCID 0000-0002-4689-6426

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oxysterols, i.e., hydroxylated cholesterol metabolites, are associated with various signaling pathways and diseases. Their low abundance and structural complexity create analytical challenges, particularly in small sample sizes. We here present an optimized and validated miniaturized sample preparation method that enables oxysterol detection and quantification in single stem cell-derived 3D cell aggregates, as exemplified in human liver organoids (stem cell-based 3D liver models) and human gastruloids (stem cell-based embryo models) using liquid chromatography-mass spectrometry (LC-MS). The method, utilizing enzyme-assisted derivatization with Girard-T reagent, allowed a 10-fold decrease in starting material compared to conventional methodology while maintaining sensitivity and precision. A validation based on Eurachem guidelines confirmed quantitative performance and reproducibility across days and operators. In addition, we introduce a tailored normalization method, allowing same-sample measurements of oxysterols and the total protein content. The miniaturized method enabled successful detection and quantification of oxysterols of expected presence (e.g., 26-hydroxycholesterol), as well as unexpected (24S-hydroxycholesterol) and unknown oxysterols. Using our updated method, we could reveal significant heterogeneity among individual organoids and gastruloids, both between and within cell sources/protocols. Overall, we provide a reliable and high-sensitivity method for analyzing oxysterols in limited biological samples, opening opportunities for further insights into their roles in, e.g., liver function and early embryogenesis.

Indexed as

LiverOrganoidsOxysterolsHumansLiquid Chromatography-Mass SpectrometryOxysterols

Identifiers

PMID41731721
PMCPMC12980495

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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.