Evidence map›Paper›PMID 41491082›Full record

ArticleScientific reports2026

Different fatty acid patterns in serum in patients with various thyroid diseases.

Martyna Lukasiewicz, Agata Zwara, Monika Czapiewska, Natalia Koc, Jan Opalko, Agata Janczy, Adriana Mika, Andrzej Hellmann

Abstract read
In one paragraph

Article in Scientific reports, 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

8 authors.

Martyna LukasiewiczDepartment of Surgical Oncology, Transplant Surgery and General Surgery, Medical University of Gdansk, Smoluchowskiego 17, 80-214, Gdansk, Poland.
Agata ZwaraDepartment of Environmental Analytics, Faculty of Chemistry, University of Gdansk, Wita Stwosza 63, 80-308, Gdansk, Poland.
Monika CzapiewskaDepartment of Pharmaceutical Biochemistry, Medical University of Gdansk, 1 Debinki, 80-211, Gdansk, Poland.
Natalia KocDepartment of Pharmaceutical Biochemistry, Medical University of Gdansk, 1 Debinki, 80-211, Gdansk, Poland.
Jan OpalkoDepartment of Pharmaceutical Biochemistry, Medical University of Gdansk, 1 Debinki, 80-211, Gdansk, Poland.
Agata JanczyDepartment of Food Commodity Science, Medical University of Gdansk, ul. Debinki 7, 80-211, Gdansk, Poland.
Adriana MikaDepartment of Environmental Analytics, Faculty of Chemistry, University of Gdansk, Wita Stwosza 63, 80-308, Gdansk, Poland. adriana.mika@gumed.edu.pl.
Andrzej HellmannDepartment of Surgical Oncology, Transplant Surgery and General Surgery, Medical University of Gdansk, Smoluchowskiego 17, 80-214, Gdansk, Poland.

Funding

Medical University of Gdansk, Poland 01-50025/0008393/01/MPK/MPK/0/2025Narodowe Centrum Nauki MINIATURA 2022/06/X/NZ4/00037
6 · The paper itself

Abstract

Thyroid diseases and obesity are major health issues in the 21st century. While fatty acids (FAs) are known to influence various conditions, their role in thyroid disorders remains unclear. This study investigated FA profiles in patients with thyroid diseases to assess their diagnostic potential. From 891 patients treated at the Thyroid Cancer Center of the Medical University of Gdansk (2021-2024), 173 were selected for FA analysis using gas chromatography-mass spectrometry. Receiver operating characteristic (ROC) analysis evaluated the predictive value of individual FAs, and metabolite set enrichment analysis (MSEA) identified changes in FA metabolism. Results showed significant alterations in FA profiles among thyroid disease patients. Notably, levels of specific n-3 polyunsaturated FAs (ALA, EPA, DHA) were reduced in Hashimoto's thyroiditis (HT) compared to healthy controls, despite no significant change in total PUFA levels. ROC analysis highlighted certain FAs with high AUC values, especially in HT and follicular cell adenoma, indicating potential as diagnostic biomarkers. MSEA revealed disruptions in pathways related to α-linolenic and linoleic acid metabolism and β-oxidation of very long-chain FAs. These findings suggest FA profiling could support the diagnosis of thyroid disorders and offer new insights into disease-related metabolic changes.

Indexed as

Fatty AcidsHashimoto DiseaseThyroid DiseasesAdultAgedBiomarkersCase-Control StudiesFemaleGas Chromatography-Mass SpectrometryHumansMaleMiddle AgedROC CurveBiomarkersFatty AcidsBiomarkerEarly diagnosisFatty acidsInflammationThyroid

Identifiers

PMID41491082
PMCPMC12852874

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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.