Evidence map›Paper›PMID 38762651›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2024

Analysis of the metabolic profile of humans naturally exposed to RF-EM radiation.

Neel Mani Rangesh, Arun Kumar Malaisamy, Nitesh Kumar, Sanjay Kumar

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Article in Metabolomics : Official journal of the Metabolomic Society, 2024. 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

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Neel Mani RangeshDepartment of Electronics & Communication Engineering, Birla Institute of Technology, Mesra, Ranchi, Jharkhand, 835 215, India. neelmr@gmail.com.
Arun Kumar MalaisamyTranscription Regulation Group, International Centre for Genetic Engineering and Biotechnology (ICGEB), Aruna Asaf Ali Marg, New Delhi, 110 067, India.
Nitesh KumarDepartment of Pathology, Indira Gandhi Institute of Medical Sciences (IGIMS), Sheikhpura, Patna, Bihar, 800 014, India.
Sanjay KumarDepartment of Electronics & Communication Engineering, Birla Institute of Technology, Mesra, Ranchi, Jharkhand, 835 215, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe world is experiencing exponential growth in communication, especially wireless communication. Wireless connectivity has recently become a part of everyone's daily life. Recent developments in low-cost, low-power, and miniature devices contribute to a significant rise in radiofrequency-electromagnetic field (RF-EM) radiation exposure in our environment, raising concern over its effect on biological systems. The inconsistent and conflicting research results make it difficult to draw definite conclusions about how RF-EM radiation affects living things.

objectivesThis study identified two micro-environments based on their level of exposure to cellular RF-EM radiation, one with significantly less exposure and another with very high exposure to RF-EM radiation. Emphasis is given to studying the metabolites in the urine samples of humans naturally exposed to these two different microenvironments to understand short-term metabolic dysregulations.

methodsUntargeted

resultsThe study found that the twenty-nine metabolites were dysregulated. Among them, 19 were downregulated, and 10 were upregulated. In particular, Glyoxylate and dicarboxylate and the TCA cycle metabolism pathway have been perturbed. The dysregulated metabolites were validated using the ROC curve analysis.

conclusionUntargeted urine metabolomics was conducted to identify dysregulated metabolites linked to RF-EM radiation exposure. Preliminary findings suggest a connection between oxidative stress and gut microbiota imbalance. However, further research is needed to validate these biomarkers and understand the effects of RF-EM radiation on human health. Further research is needed with a diverse population.

Indexed as

MetabolomeMetabolomicsRadio WavesAdultElectromagnetic FieldsFemaleHumansMaleMiddle AgedYoung AdultHuman urineNMR spectroscopyOxidative metabolismRadiofrequency-electromagnetic field (RF-EM) radiationUntargeted metabolomics

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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.