Your browser doesn't support javascript.
loading
Analysis of the metabolic profile of humans naturally exposed to RF-EM radiation.
Rangesh, Neel Mani; Malaisamy, Arun Kumar; Kumar, Nitesh; Kumar, Sanjay.
Afiliación
  • Rangesh NM; Department of Electronics & Communication Engineering, Birla Institute of Technology, Mesra, Ranchi, Jharkhand, 835 215, India. neelmr@gmail.com.
  • Malaisamy AK; Transcription Regulation Group, International Centre for Genetic Engineering and Biotechnology (ICGEB), Aruna Asaf Ali Marg, New Delhi, 110 067, India.
  • Kumar N; Department of Pathology, Indira Gandhi Institute of Medical Sciences (IGIMS), Sheikhpura, Patna, Bihar, 800 014, India.
  • Kumar S; Department of Electronics & Communication Engineering, Birla Institute of Technology, Mesra, Ranchi, Jharkhand, 835 215, India.
Metabolomics ; 20(3): 55, 2024 May 18.
Article en En | MEDLINE | ID: mdl-38762651
ABSTRACT

INTRODUCTION:

The 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.

OBJECTIVES:

This 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.

METHODS:

Untargeted 1H NMR spectroscopy was employed for metabolomics analyses to identify dysregulated metabolites. A total of 60 subjects were recruited with 5 ml urine samples each. These subjects were divided into two groups one highly exposed to RF-EM (n = 30) and the other consisting of low-exposure populations (n = 30).

RESULTS:

The 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.

CONCLUSION:

Untargeted 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.
Asunto(s)
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Ondas de Radio / Metaboloma / Metabolómica Límite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: Metabolomics Año: 2024 Tipo del documento: Article País de afiliación: India

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Ondas de Radio / Metaboloma / Metabolómica Límite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: Metabolomics Año: 2024 Tipo del documento: Article País de afiliación: India