ArticleJournal of medical biochemistry2025
Thyroiditis and human blood metabolites: A mendelian randomization study.
Article in Journal of medical biochemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The risk factors for thyroiditis, an inflammatory disease with a complex etiology, remain poorly understood. Blood metabolites are known to change during thyroiditis development, suggesting a close relationship between blood metabolites and thyroiditis progression. However, evidence for a causal link is lacking. We employed Mendelian randomization (MR) methodology to systematically investigate the putative causal relationships between blood metabolite profiles and two clinically distinct thyroiditis phenotypes-subacute and autoimmune thyroiditis-providing insights into their metabolic underpinnings. Methods: We analyzed genomic and health data from 88 million Finnish Biobank participants in the Genome-Wide Association Study (GWAS). The primary analytical method was random-effects inverse variance weighting (IVW), supplemented by the weighted median method (WME) and Mr-Egger. We implemented comprehensive sensitivity analyses encompassing Cochran's Q test, Mr-Egger intercept, leave-one-out analysis (LOO), and Mr-PRESSO to assess heterogeneity, pleiotropy, and outliers. Extended genetic investigations incorporated the linkage disequilibrium score regression (LDSC) method, multivariable Mr (MVMR), and metabolic pathway analyses to provide deeper mechanistic insights. Results: Ten metabolites were significantly associated with autoimmune thyroiditis, and fifteen with subacute thyroiditis. Nonadecanoate (19:0) and 1-palmitoylglycerophosphoinositol* were found to directly affect subacute thyroiditis. MVMR analyses identified pelargonate (9:0), carnitine, and ADpSGEGDFXAEGGGVR* as having an independent and direct effect on autoimmune thyroiditis. Additionally, metabolic pathways such as neomycin, kanamycin, and gentamicin biosynthesis, histidine metabolism, and starch and sucrose metabolism were linked to autoimmune thyroiditis, while phenylalanine, tyrosine, tryptophan biosynthesis, phenylalanine metabolism, and arginine biosynthesis were associated with subacute thyroiditis. Conclusions: Our findings establish causal relationships between circulating metabolites and thyroiditis, revealing novel mechanistic insights through integrated genomic and metabolomic analyses. These results not only advance our understanding of thyroiditis pathogenesis but also suggest potential biomarkers for disease screening and therapeutic targets for intervention.
Indexed as
Identifiers
What OpenQuestion holds
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.