Evidence map›Paper›PMID 41596672›Full record

ArticleInternational journal of molecular sciences2026

Untargeted Metabolomic and Lipidomic Profiling Reveals Distinct Biochemical Patterns in Treated Biotinidase Deficiency.

Ezgi Ünlü Torlak, Merve Koç Yekedüz, Yunus Emre Bülbül, İlknur Sürücü Kara, Sevilay Erdoğan Kablan, Cemil Can Eylem, Büşra Uçar, İncilay Süslü, İpek Baysal, Samiye Yabanoğlu Çiftçi and 3 more

Abstract read
In one paragraph

Article in International journal of molecular sciences, 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. Cells · 2026
    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

13 authors.

Ezgi Ünlü TorlakDepartment of Pediatrics, Faculty of Medicine, Ankara University, Ankara 06620, Türkiye.ORCID 0009-0009-9250-0873
Merve Koç YekedüzDivision of Pediatric Metabolism, Faculty of Medicine, Ankara University, Ankara 06620, Türkiye.
Yunus Emre BülbülDepartment of Pediatrics, Faculty of Medicine, Ankara University, Ankara 06620, Türkiye.ORCID 0009-0003-0821-437X
İlknur Sürücü KaraDivision of Pediatric Metabolism, Faculty of Medicine, Ankara University, Ankara 06620, Türkiye.
Sevilay Erdoğan KablanDepartment of Analytical Chemistry, Faculty of Pharmacy, Hacettepe University, Ankara 06230, Türkiye.
Cemil Can EylemDepartment of Analytical Chemistry, Faculty of Pharmacy, Hacettepe University, Ankara 06230, Türkiye.ORCID 0000-0002-3353-2869
Büşra UçarDepartment of Analytical Chemistry, Faculty of Pharmacy, Hacettepe University, Ankara 06230, Türkiye.ORCID 0009-0007-0416-1185
İncilay SüslüDepartment of Analytical Chemistry, Faculty of Pharmacy, Hacettepe University, Ankara 06230, Türkiye.
İpek BaysalVocational School of Health Services, Hacettepe University, Ankara 06230, Türkiye.
Samiye Yabanoğlu ÇiftçiDepartment of Biochemistry, Faculty of Pharmacy, Hacettepe University, Ankara 06230, Türkiye.
Fatma Tuba EminoğluDivision of Pediatric Metabolism, Faculty of Medicine, Ankara University, Ankara 06620, Türkiye.
Emirhan NemutluDepartment of Analytical Chemistry, Faculty of Pharmacy, Hacettepe University, Ankara 06230, Türkiye.ORCID 0000-0002-7337-6215
Engin KöseDivision of Pediatric Metabolism, Faculty of Medicine, Ankara University, Ankara 06620, Türkiye.ORCID 0000-0001-7238-2894

Funding

Ankara University TTU-2024-3205
6 · The paper itself

Abstract

Biotinidase deficiency is an autosomal recessive disorder that disrupts biotin recycling and multiple carboxylase-dependent pathways. Early and continuous biotin therapy prevents major clinical manifestations, but its long-term biochemical effects remain unclear. This study applied untargeted metabolomic and lipidomic profiling in 54 pediatric patients with genetically confirmed BD receiving regular biotin supplementation and 30 age- and sex-matched controls. Multivariate analyses and pathway enrichment revealed distinct biochemical signatures involving amino acid, energy, and lipid metabolism. Reduced levels of serine, glycine, threonine, and tricarboxylic acid cycle intermediates suggested modified mitochondrial flux, while octopine, exhibiting an approximately 11-fold increase, was the metabolite best able to discriminate between the groups. Lipidomic profiling indicated elevations in sphingolipids, phosphatidylcholines, long-chain fatty acids, and acylcarnitines, consistent with systemic lipid remodeling. These coordinated alterations imply metabolic adaptations to sustained biotin exposure rather than ongoing pathology. Octopine and selected lipid species may represent biochemical indicators of this adaptive state. Overall, the findings highlight that clinically stable children with Biotinidase deficiency exhibit unique metabolic and lipidomic patterns reflecting long-term compensatory mechanisms, underscoring the value of combined omics approaches for understanding disease-specific homeostasis and informing personalized follow-up strategies.

Indexed as

BiotinBiotinidase DeficiencyLipidomicsMetabolomeMetabolomicsBiomarkersChildChild, PreschoolFemaleHumansLipid MetabolismBiomarkersBiotinadaptive metabolismbiomarkersbiotinbiotinidase deficiencycarboxylase pathwayslipidomicsmetabolomicsmitochondrial metabolismoctopinepediatric

Identifiers

PMID41596672
PMCPMC12842227

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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.