6 research outputs found

    The Relationship between Zinc Levels and Autism: A Systematic Review and Meta-analysis

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    How to Cite This Article: Babaknejad N, Sayehmiri F, Sayehmiri K, Mohamadkhani A, Bahrami S. The Relationship between Zinc Levelsand Autism: Systematic Review and Meta-analysis. Iran J Child Neurol. Autumn 2016; 10(4):1-9. AbstractObjectiveAutism is a complex behaviorally defined disorder. There is a relationship between zinc (Zn) levels in autistic patients and development of pathogenesis, but the conclusion is not permanent. Materials & MethodsThe present study conducted to estimate this probability using meta-analysis method. In this study, Fixed Effect Model, twelve articles published from 1978 to 2012 were selected by searching Google scholar, PubMed, ISI Web of Science, and Scopus and information were analyzed. I² statistics were calculated to examine heterogeneity. The information was analyzed using R and STATA Ver. 12.2. ResultsThere was no significant statistical difference between hair, nail, and teeth Zn levels between controls and autistic patients: -0.471 [95% confidence interval (95% CI): -1.172 to 0.231]. There was significant statistical difference between plasma Zn concentration and autistic patients besides healthy controls: -0.253 (95% CI: 0.498 to -0.007). Using a Random Effect Model, the overall Integration of data from the two groups was -0.414 (95% CI: -0.878 to -0.051).ConclusionBased on sensitivity analysis, zinc supplements can be used for the nutritional therapy for autistic patients. References1. Arnold LE, Farmer C, Kraemeret HC, et al. Moderators, mediators, and other predictors of Risperidoneresponse in children with Autistic Disorder and Irritability. J Child Adolesc Psychopharmacol 2012; 20(2): 83-92.2. Karimzadeh P. Recent finding about etiology of autism. Rehabilitation 2000; 1(2):58-63.3. Dufault R, Schnoll R, Lukiw WJ, et al. Mercury exposure, nutritional deficiencies and metabolic disruptions may affect learning in children. Behav Brain Funct 2009; 5(44): 1-15.4. Morris CR, Agin CM. Syndrome of allergy, apraxia, and malabsorption: characterization of a neurodevelopmental phenotype that responds to omega 3 and vitamin E supplementation. Altern Ther Health Med 2009; 15(4): 34-43.5. An centers for Disease Control and Prevention (2012). Prevalence of autism spectrum disorders-Autism and Developmental Disabilities Monitoring Network, Prevalence of Autism Spectrum Disorders (ASDs) Among Multiple Areas of the United States in 2008, United States, Morbidity and Mortal Weekly Report (MMWR); Vol. 61(3).6. Dufault R, Lukiw WJ, Crider R, et al. A macro epigenetic approach to identify factors responsible for the autism epidemic in the United States. Clin Epigenetics 2012; 4(6): 2-12.7. Faber S, Zinn GM, Kern GC, et al. The plasma zinc/ serum copper ratio as a biomarker in children with autism spectrum disorders. Biomarkers 2009; 14(3): 171–180.8. Cornish E. Gluten and casein free diets in autism: a study of the effects on food choice and nutrition. J Hum Nutr Dietet 2012; 15: 261-268.9. De Palma G, Catalani S, Franco A, et al. Lack of correlation between metallic elements analyzed in hair by ICP-MS and Autism. J Autism Dev Disord 2012; 42(3):342–353.10. Adams JB, Romdalvik J, Ramanujam VM, Legator MS, et al. Mercury, Lead, and Zinc in Baby teeth of children with Autism versus controls. J Toxicol Environ Health A 2007;7(12): 1046-1051.11. Blaurock-Busch E, Amin OR, Rabah T. Heavy metals and Trace elements in hair and urine of a sample of Arab children with Autistic Spectrum Disorder. Maedica (Buchar) 2011;6(4): 247-252.12. Russo AJ, Devito R. Analysis of Copper and Zinc Plasma Concentration and the efficacy of Zinc therapy in individuals with Asperger’s syndrome, pervasive Developmental Disorder Not Otherwise Specified (PDDNOS) and Autism. Biomarker Insights 2011; 6:127–133.13. Shearer TR, Larson K, Neuschwander J, Gedney B. Minerals in the hair and nutrient intake of Autistic children. J Autism Dev Disord 1982; 12(1): 25-30.14. Liberati A, Tetzlaff J, Mulrow C, et al. The PRISMA statement for reporting systematic reviews and metaanalyses of studies that evaluate healthcare interventions: explanation and elaboration. BMJ 2009; 21: 339- b2700.15. Hartung J, Knapp G, Sinha BK. Statistical Meta- analysis with application. John Willey and Sons 2008, INC, USA.16. Babaknejad N, Sayehmiri F, Sayehmiri K, et al. The relationship between selenium levels and breast cancer: a systematic review and meta-analysis. Biol Trace Elem Res 2014;159(1-3):1-7.17. Al-Ayadehi LY. Heavy metals and trace elements in hair samples of autistic children in central Saudi Arabia. Neurosciences (Riyadh) 2005; 10(3):213-8.18. Blaurock-Busch E, Amin OR, Dessoki HH, Rabah T. Toxic metals and essential elements in hair and severity of symptoms among children with Autism. Mædica J Clin Med 2012;7(1): 38-47.19. Elsheshtawy E, Tobar S, Sherra K, et al, Study of some biomarkers in hair of children with autism. MECPsych 2011;18 18:6–10.20. Russo AJ. Increased Copper in individuals with Autism normalizes post Zinc therapy more efficiently in Individuals with in current GI Disease. Nutr Metab Insights 2011;4: 49–54.21. Jackson MJ, Garrod PJ. Plasma Zinc, Copper, and Amino Acid levelsin the blood of Autistic Children. J Autism Child Schizophr 1978; 8(2): 203-206.22. Priya MDL, Geetha A. Level of trace elements (Copper, Zinc, Magnesium and Selenium) and toxic elements(Lead and Mercury)in the Hair and Nail of Children with Autism. Biol Trace Elem Res 2011; 142(2): 148–158.23. 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A preliminary study on nutritional status and intake in Chinese children with autism. Eur J Pediatr 2010; 169(10):1201-1205.29. Russo AJ, Bazin AP, Bigega R, et al. Plasma Copper and Zinc Concentration in Individuals with Autism Correlate with Selected Symptom Severity. Nutr Metab Insights 2012;5: 41–47.30. Bjørklund G. The role of zinc and copper in autism spectrum disorders. Acta Neurobiol Exp 2013; 73: 225–236.31. Yasuda H, Yoshida K, Yasuda Y, Tsutsui T. Infantile zinc deficiency: Association with autism spectrum disorders. Sci Rep 2011; 1(129): 1-4.32. Frye RE, Rossignol D2, Casanova MF, et al. A review of traditional and novel treatments for seizures in autism spectrum disorder: findings from a systematic review and expert panel. Front Public Health 2013; 1(31): 1-17.33. Yasuda H, Tsutsui T. Assessment of Infantile Mineral Imbalances in Autism Spectrum Disorders (ASDs). Int J Environ Res Public Health 2013;10(11): 6027–6043

    The Protective Roles of Zinc and Magnesium in Cadmium-Induced Renal Toxicity in Male Wistar Rats

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    Background: Cadmium (Cd) is a heavy metal that has widespread use. It enters the food chain in different ways, including soil and water. Cadmium can cause dysfunction of different body organs. Zinc (Zn) and magnesium (Mg) supplementation can have protective effects against cadmium toxicity due to their antagonistic and antioxidants properties. This study examines the influence of supplemental Zn and Mg on Cd renal toxicity. Methods: Young male Wistar rats were divided into six groups of five. The Cd group received 1 mg Cd/kg and the control group received 0.5 mg/kg normal saline (i.p.). The other four groups were administered 1 mg/kg Cd+0.5 mg/kg Zn, 1 mg/kg Cd+1.5 mg/kg Zn, 1 mg/kg Cd+ 0.5 mg/kg Mg, and 1 mg/kg Cd+ 1.5 mg/kg Mg (i.p.) for 21 days. Then, serum sodium, potassium, urea, creatinine, and protein levels were measured. Results: The results indicated that creatinine and protein levels decreased while urea, sodium, and potassium levels increased as a result of Cd exposure. Co-administered Cd and Zn and Mg decreased urea and increased sodium serum level in comparison to the cadmium group. Treatment by Mg, contrary to co-administered Cd and Zn, reduced serum protein level compared to the cadmium group. Compared to the cadmium treated group, Zn and Mg treatment enhanced serum creatinine level and reduced serum potassium level. Conclusion: The findings seem to suggest that zinc and magnesium compounds, due to their antagonistic and antioxidant activities, can protect Cd renal toxic effects in a dose-dependent manner

    Genotyping of Zoonotic Toxoplasm gondii Isolated from Aborted Fetuses of Ewes of Lorestan Province Based on SAG2، SAG3 and GRA6 Molecular Markers

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    Background & objectives: Toxoplasma gondii is a zoonotic obligate intracellular protozoan parasite that infects all warm-blooded animals as well as human worldwide. Determining the parasite genotype in intermediate hosts  is crucial in  evaluating the role of these types in human infections as wll as in prevention programs. Therefore, this study aimed to identify and detect the genotypes of Toxoplasma gondii in aborted fetuses of ewes in Lorestan province. Methods: Identification of the parasite was performed  on the brain and liver tissues of 142 aborted fetuses using  a conventional PCR based on amplification of highly repetitive 529 bp region of the parasite genome. Genotyping of positive samples, which were isolated from the brain and liver, was performed by PCR-RFLP based on SAG2, SAG3 and GRA6 molecular markers. Results: From a total of 142 samples  obtained from  brain  and fetus, 10 cases (7%) were determined as positive samples based on conventional PCR. The precence of parasite DNA was also confirmed in the liver of  3 positive samples. Evaluation of RFLP pattern of amplified SAG2, SAG3 and GRA6 genes showed the presence of various types of parasites, incuding type I in 3 samples, type II in 2 samples and atypical type in 5 samples. Conclusion: Isolation of types I, II and atypical type of T. gondii from ewes in  Lorestan province suggests the need for greater attention to parasite transmission from livestock to human, particularly in pregnant women and people with weakened immune system

    Evaluation and analysis of gaseous emission in landfill area and estimation of its pollutants dispersion, (case of Rodan in Hormozgan, Iran)

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    Background: The biogases are the mixture of gases produced through the microbial decomposition of organic waste which are amply observed in the landfills. The main purpose of this study was to estimate the emission rates of landfill gases such as carbon dioxide, methane and non-methane organic compounds (NMOCs) in the solid waste landfill of Rodan city in Hormozgan province. Methods: All the necessary information such as population, geographic and climate of Rodan city were collected. Solid waste analysis was then conducted. Afterward, the LandGEM software is used in this study for the purpose of estimation of total biogas, methane, carbon dioxide and NMOCs emission from Rodan’s landfill. Results: The analysis of results showed that only 24.18% of the produced waste in this city is perishable. The calculations indicate that the peak of biogas production which is equal to 420 tons per year would be achieved in the year 2019. The production rates of carbon dioxide and methane in the same year would be equal to 308 and 112 tons per year respectively. The pollutants transmittance calculations in the vicinity of the landfill revealed that the maximum pollutant concentration is within the maximum distance of 200 m. Conclusion: The results obtained in this study could be used for the purpose of design and installation of extraction or incineration equipment in the landfill of Rodan
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