Evidence map›Paper›PMID 37800147›Full record

ArticleFrontiers in endocrinology2023

Nickel as a potential disruptor of thyroid function: benchmark modelling of human data.

Djurdjica Maric, Katarina Baralic, Dragana Javorac, Stefan Mandic-Rajcevic, Milos Zarkovic, Biljana Antonijevic, Danijela Djukic-Cosic, Zorica Bulat, Aleksandra Buha Djordjevic

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.3field-weighted citation impact, top 23% of its field
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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Co-exposure to arsenic and nickel induces oxidative stress and mineral imbalance, impairing male reproductive parameters in Wistar rats.Biometals : an international journal on the role of metal ions in biology, biochemistry, and medicine · 2026
    Article
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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

9 authors at 4 institutions in 1 country.

Djurdjica MaricDepartment of Toxicology "Akademik Danilo Soldatović", University of Belgrade - Faculty of Pharmacy, Belgrade, Serbia.
Katarina BaralicDepartment of Toxicology "Akademik Danilo Soldatović", University of Belgrade - Faculty of Pharmacy, Belgrade, Serbia.
Dragana JavoracDepartment of Toxicology "Akademik Danilo Soldatović", University of Belgrade - Faculty of Pharmacy, Belgrade, Serbia.
Stefan Mandic-RajcevicSchool of Public Health and Health Management and Institute of Social Medicine, University of Belgrade - Faculty of Medicine, Belgrade, Serbia.
Milos ZarkovicDepartment of Endocrinology, Diabetes and Metabolic Diseases, Belgrade, Serbia.
Biljana AntonijevicDepartment of Toxicology "Akademik Danilo Soldatović", University of Belgrade - Faculty of Pharmacy, Belgrade, Serbia.
Danijela Djukic-CosicDepartment of Toxicology "Akademik Danilo Soldatović", University of Belgrade - Faculty of Pharmacy, Belgrade, Serbia.
Zorica BulatDepartment of Toxicology "Akademik Danilo Soldatović", University of Belgrade - Faculty of Pharmacy, Belgrade, Serbia.
Aleksandra Buha DjordjevicDepartment of Toxicology "Akademik Danilo Soldatović", University of Belgrade - Faculty of Pharmacy, Belgrade, Serbia.
University of Belgrade – Faculty of PharmacyUniversity of Belgrade · RSCenter for Health, Exercise and Sport Sciences · RSInstitute of Public Health of Serbia · RS

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Nickel (Ni) is one of the well-known toxic metals found in the environment. However, its influence on thyroid function is not explored enough. Hence, the aim of this study was to analyse the potential of Ni to disrupt thyroid function by exploring the relationship between blood Ni concentration and serum hormone levels (TSH, T4, T3, fT4 and fT3), as well as the parameters of thyroid homeostasis (SPINA-GT and SPINA-GD) by using correlation analysis and Benchmark (BMD) concept. Methods: Ni concentration was measured by ICP-MS method, while CLIA was used for serum hormone determination. SPINA Thyr software was used to calculate SPINA-GT and SPINA-GD parameters. BMD analysis was performed by PROAST software (70.1). The limitations of this study are the small sample size and the uneven distribution of healthy and unhealthy subjects, limited confounding factors, as well as the age of the subjects that could have influenced the obtained results. Results and discussion: The highest median value for blood Ni concentration was observed for the male population and amounted 8,278 µg/L. Accordingly, the statistically significant correlation was observed only in the male population, for Ni-fT4 and Ni-SPINA-GT pairs. The existence of a dose-response relationship was established between Ni and all the measured parameters of thyroid functions in entire population and in both sexes. However, the narrowest BMD intervals were obtained only in men, for Ni - SPINA-GT pair (1.36-60.9 µg/L) and Ni - fT3 pair (0.397-66.8 µg/L), indicating that even 78.68 and 83.25% of men in our study might be in 10% higher risk of Ni-induced SPINA-GT and fT3 alterations, respectively. Due to the relationship established between Ni and the SPINA-GT parameter, it can be concluded that Ni has an influence on the secretory function of the thyroid gland in men. Although the further research is required, these findings suggest possible role of Ni in thyroid function disturbances.

Indexed as

Thyroid GlandTriiodothyronineBenchmarkingFemaleHumansMaleNickelThyrotropinThyroxineNickelThyrotropinThyroxineTriiodothyronineBMD modelingdose-response analysisendocrine disruptorsthyroid hormone leveltoxic metals

Identifiers

PMID37800147
PMCPMC10549921
OpenAlexW4386935013

What OpenQuestion holds

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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.