Evidence map›Paper›PMID 40705106›Full record

ArticleJournal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology2025

An LC-MS/MS-based approach for monitoring monoaminergic status in lizard brains: method development and real-samples application.

Dunja Šikić, Lu Turković, Olga Malev, Tomislav Gojak, Duje Lisičić, Miranda Sertić, Sofia Ana Blažević

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Article in Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Dunja Šikić *Faculty of Science, Division of Biology, Department of Animal Physiology, University of Zagreb, Horvatovac 102a, Zagreb, 10000, Croatia.
Lu Turković *Faculty of Pharmacy and Biochemistry, Department of Pharmaceutical Analysis, University of Zagreb, Ante Kovačića 1, Zagreb, 10000, Croatia.
Olga MalevRuđer Bošković Institute, Division of Materials Chemistry, Laboratory for aquaculture biotechnology, Bijenička 54, Zagreb, 10000, Croatia. olga.malev@irb.hr.
Tomislav GojakAssociation Hyla, Lipovac I No. 7, Zagreb, 10000, Croatia.
Duje LisičićFaculty of Science, Division of Biology, Department of Animal Physiology, University of Zagreb, Horvatovac 102a, Zagreb, 10000, Croatia.
Miranda SertićFaculty of Pharmacy and Biochemistry, Department of Pharmaceutical Analysis, University of Zagreb, Ante Kovačića 1, Zagreb, 10000, Croatia.
Sofia Ana BlaževićFaculty of Science, Division of Biology, Department of Animal Physiology, University of Zagreb, Horvatovac 102a, Zagreb, 10000, Croatia.

Funding

European Regional Development Fund KK.01.1.1.02.0021Hrvatska Zaklada za Znanost UIP-2019-04-8469
6 · The paper itself

Abstract

Monoamines play essential roles in regulating brain functions, influencing behaviours and physiological processes. Despite significant advances in mammalian models, studies on reptiles are limited, restricting our understanding of their neurochemical and behavioural interactions. This study aimed to develop and validate a selective liquid chromatography-tandem mass spectrometry (LC-MS/MS) method for the simultaneous quantification of 11 monoamines and their metabolites (adrenaline, dopamine, levodopa, homovanillic acid, 5-hydroxyindoleacetic acid, 5-hydroxytryptophan, serotonin, norepinephrine, tryptophan, tyrosine, vanillylmandelic acid) in lizard brains, examining interspecies and sex-specific variations and their potential link to behavioural differences between Podarcis siculus and Podarcis melisellensis. Brain samples from 132 lizards were analysed using the optimized LC-MS/MS method, which included rigorous pre-analytical preparation to ensure analyte stability. The method demonstrated high sensitivity and specificity for monoamines, with the limit of quantitation lower than 5 ng mL

Indexed as

Biogenic MonoaminesBrainBrain ChemistryLizardsTandem Mass SpectrometryAnimalsChromatography, LiquidFemaleLiquid Chromatography-Mass SpectrometryMaleSpecies SpecificityBiogenic MonoaminesBehaviourBioanalytical methodMonoaminesReptilesSerotonergic metabolism

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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.