Evidence map›Paper›PMID 38075040›Full record

ArticleFrontiers in endocrinology2023

Vanadium, cobalt, zinc, and rubidium are associated with markers of inflammation and oxidative stress in a Greek population with obesity.

Charalampia Amerikanou, Stamatia-Angeliki Kleftaki, Sotirios Karavoltsos, Dimitra Tagkouli, Aikaterini Sakellari, Evdokia Valsamidou, Aristea Gioxari, Nick Kalogeropoulos, Andriana C Kaliora

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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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. [Establishment of a Noninvasive Diagnostic Model for Wilson Disease Using Metallomics and Machine Learning].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Charalampia Amerikanou *Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University of Athens, Athens, Greece.
Stamatia-Angeliki Kleftaki *Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University of Athens, Athens, Greece.
Sotirios KaravoltsosDepartment of Chemistry, National and Kapodistrian University of Athens, Athens, Greece.
Dimitra TagkouliDepartment of Nutrition and Dietetics, School of Health Science and Education, Harokopio University of Athens, Athens, Greece.
Aikaterini SakellariDepartment of Chemistry, National and Kapodistrian University of Athens, Athens, Greece.
Evdokia ValsamidouDepartment of Nutrition and Dietetics, School of Health Science and Education, Harokopio University of Athens, Athens, Greece.
Aristea GioxariDepartment of Nutritional Science and Dietetics, School of Health Science, University of the Peloponnese, Kalamata, Greece.
Nick KalogeropoulosDepartment of Nutrition and Dietetics, School of Health Science and Education, Harokopio University of Athens, Athens, Greece.
Andriana C KalioraDepartment of Nutrition and Dietetics, School of Health Science and Education, Harokopio University of Athens, Athens, Greece.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The prevalence of obesity is rising globally, with negative effects on the socioeconomic system. As a result of its drivers which include low-grade chronic inflammation, oxidative stress, and fatty acid metabolism, this phenotype develops metabolic anomalies that exacerbate its pathogenesis. It has been discovered that metals and metalloids have substantial effects on both the immune system and metabolism and are influenced by factors connected to obesity. Although there is a known connection between metals, obesity, and related metabolic disorders, it is still under research. Methods: We determined the plasma levels of 16 metals and metalloids in 76 individuals with obesity and investigated the relationships with inflammatory and oxidative stress biomarkers in order to clarify the processes by which metals/metalloids exhibit their effects. Results: After adjusting for age, gender, BMI, physical activity level, smoking, the existence of metabolic abnormalities, and dietary intake of the corresponding metal, regression analysis revealed the following statistically significant associations; vanadium was negatively associated with oxLDL (Beta ± SE= -0.014 ± 0.005, p=0.007), zinc was negatively associated with leptin (Beta ± SE= -12.390 ± 5.226, p=0.025), cobalt was associated negatively with adiponectin (Beta ± SE= -0.030 ± 0.012, p=0.001) and positively with MPO (Beta ± SE= 0.002 ± 0.001, p=0.023), and rubidium was negatively associated with oxLDL (Beta ± SE= -1.139 ± 0.411, p=0.008) and positively with MPO (Beta ± SE= 0.324 ± 0.102, p=0.003). Discussion: The aforementioned associations highlight the need for further research, demonstrating the importance of inflammation and oxidative stress in the association between metals/metalloids and obesity-related metabolic abnormalities.

Indexed as

MetalloidsRubidiumCobaltGreeceHumansInflammationObesityOxidative StressVanadiumZincCobaltMetalloidsRubidiumVanadiumZincinflammationmetalsobesityoxidative stresstrace elements

Identifiers

PMID38075040
PMCPMC10703041

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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.