A Pilot Study on the Association of Lead, 8-Hydroxyguanine, and Malondialdehyde Levels in Opium Addicts' Blood Serum with Illicit Drug Use and Non-Addict Persons.
Farzaneh Allahdinian HesaruiyehSaeed RajabiMohadeseh Motamed-JahromiMohammad SarhadiMichelle L BellRazieh KhaksefidiSomayeh SarhadiLeili MohammadiKamal DuaAmin MohammadpourPaolo MartellettiPublished in: International journal of environmental research and public health (2022)
While a large body of literature has shown the health problems of illicit drug use, research is needed on how substance abuse impacts DNA damage and contaminants in blood, especially given Pb-contaminated opium. This pilot study aimed to evaluate the levels of lead (Pb), 8-hydroxy di-guanine (8-oxo-Gua), and malondialdehyde (MDA) in the blood serum of opium addicts and non-addict people. The current study is a case-control study with a cross-sectional design. A sample of 50 opium-addicted and non-addict adults were chosen for this study using convenience and random sampling methods. Participants were divided into two groups: addicts and non-addicts. The atomic absorption spectroscopy method was used to measure the quantity of Pb, and the Enzyme-Linked Immunosorbent Assay (ELISA) method was used to measure the amount of 8-oxo-Gua and MDA. The data were analyzed using an independent t-test. The results show that the amount of Pb in the blood serum of addicted women and men was higher than levels in non-addict men and women, for the study participants ( p -value = 0.001). Blood levels were not significantly different between addicts and non-addicts for men or women for 8-oxo-Gua ( p -value = 0.647 for women and p -value = 0.785 for men) and MDA ( p -value = 0.867 for women and p -value = 0.995 for men). In general, addicts' blood Pb levels were found to be substantially higher than those of normal non-addict persons in this pilot study. As a result, testing for blood Pb levels in addicts may be informative in instances when symptoms are inconclusive.
Keyphrases
- heavy metals
- dna damage
- polycystic ovary syndrome
- healthcare
- pregnancy outcomes
- mental health
- middle aged
- systematic review
- risk assessment
- breast cancer cells
- metabolic syndrome
- aqueous solution
- type diabetes
- oxidative stress
- pregnant women
- cervical cancer screening
- adipose tissue
- escherichia coli
- cell death
- artificial intelligence
- physical activity
- high throughput
- electronic health record
- big data
- signaling pathway
- single molecule
- pi k akt
- candida albicans
- neural network