41 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. Wecker L, Miller SB, Cochran SR, Dugger DL, Johnson WD. Trace element concentrations in hair from autistic children. J Ment Defic Res 1985; 29(1): 15-22.24. Adams JB, Audhya T, McDonough-Means S, et al. Nutritional and metabolic status of children with autism vs. neurotypical children, and the association with autism severity. Nutr Metab (Lond) 2011; 8(34): 1-30.25. Adams JB, Holloway CE, George F, Quig D. Analyses of toxic metals and essential minerals in the hair of Arizona Children with Autism and associated conditions, and their mothers. Biol Trace Elem Res 2006; 110: 194-207.26. Al-Farsi YM, Waly MI, Al-Sharbati MM, et al. Levels of heavy metals and essential minerals in hair samples of children with Autism in Oman: a Case–Control Study. Biol Trace Elem Res 2013;151(2): 181-6.27. Russo AJ. Decreased serum Cu/Zn SOD in children with Autism. Nutr Metab Insights 2009; 2: 27-35.28. Xia W, Zhou Y, Sun C, Wang J, Wu L. 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 inverse association of serum HBV DNA level with HDL and adiponectin in chronic hepatitis B infection

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    <p>Abstract</p> <p>BACKGROUND</p> <p>The natural history of hepatitis B virus (HBV) is complex and influenced by the level of viral replication and host factors. The hepatoprotective role of high density lipoproteins (HDL) and adiponectin as host factors on HBV persistence is less well understood.</p> <p>METHODS</p> <p>To investigate correlation between HBV DNA level with clinical parameters in patients with chronic hepatitis B, 92 male subjects with HBV infection without any risk factors for diabetes were enrolled in this study. Age and BMI of the study population were matched and HBV DNA, ALT, tumor necrosis factor alpha (TNF-α), adiponectin and lipid levels was measured.</p> <p>RESULTS</p> <p>Serum HBV DNA correlated inversely with serum HDL level (r = -0.23; P = 0.014). The median of log copies/ml for HBV DNA (3.67) was considered as cut off point. Patients with HBV DNA level higher than cut off point had lower adiponectin (8.7 ± 5.3 vs 10.7 ± 4.9 μg/ml p = 0.05). Also, adiponectin had a negative correlation with TNF-α (r = -0.21, P = 0.04) and positive correlations with HDL (r = 0.18, P = 0.043).Multivariate regression models show that serum HDL level is an independed factor to predict serum HBV DNA.</p> <p>CONCLUSION</p> <p>Our findings showed that higher HBV DNA levels are associated with lower HDL and adiponectin but induced TNF-alpha values.</p

    Network of microRNAs-mRNAs Interactions in Pancreatic Cancer

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    Background. MicroRNAs are small RNA molecules that regulate the expression of certain genes through interaction with mRNA targets and are mainly involved in human cancer. This study was conducted to make the network of miRNAs-mRNAs interactions in pancreatic cancer as the fourth leading cause of cancer death. Methods. 56 miRNAs that were exclusively expressed and 1176 genes that were downregulated or silenced in pancreas cancer were extracted from beforehand investigations. MiRNA-mRNA interactions data analysis and related networks were explored using MAGIA tool and Cytoscape 3 software. Functional annotations of candidate genes in pancreatic cancer were identified by DAVID annotation tool. Results. This network is made of 217 nodes for mRNA, 15 nodes for miRNA, and 241 edges that show 241 regulations between 15 miRNAs and 217 target genes. The miR-24 was the most significantly powerful miRNA that regulated series of important genes. ACVR2B, GFRA1, and MTHFR were significant target genes were that downregulated. Conclusion. Although the collected previous data seems to be a treasure trove, there was no study simultaneous to analysis of miRNAs and mRNAs interaction. Network of miRNA-mRNA interactions will help to corroborate experimental remarks and could be used to refine miRNA target predictions for developing new therapeutic approaches

    Protein-x of hepatitis B virus in interaction with CCAAT/enhancer-binding protein α (C/EBPα) - an in silico analysis approach

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    <p>Abstract</p> <p>Background</p> <p>Even though many functions of protein-x from the Hepatitis B virus (HBV) have been revealed, the nature of protein-x is yet unknown. This protein is well-known for its transactivation activity through interaction with several cellular transcription factors, it is also known as an oncogene. In this work, we have presented computational approaches to design a model to show the structure of protein-x and its respective binding sites associated with the CCAAT/enhancer-binding protein α (C/EBPα). C/EBPα belongs to the bZip family of transcription factors, which activates transcription of several genes through its binding sites in liver and fat cells. The C/EBPα has been shown to bind and modulate enhancer I and the enhancer II/core promoter of HBV. In this study using the bioinformatics tools we tried to present a reliable model for the protein-x interaction with C/EBPα.</p> <p>Results</p> <p>The amino acid sequence of protein-x was extracted from UniProt [UniProt:Q80IU5] and the x-ray crystal structure of the partial CCAAT-enhancer α [PDB:<ext-link ext-link-id="1NWQ" ext-link-type="pdb">1NWQ</ext-link>] was retrieved from the Protein Data Bank (PDB). Similarity search for protein-x was carried out by psi-blast and bl2seq using NCBI [GenBank: <ext-link ext-link-id="BAC65106.1" ext-link-type="gen">BAC65106.1</ext-link>] and Local Meta-Threading-Server (LOMETS) was used as a threading server for determining the maximum tertiary structure similarities. Advanced MODELLER was implemented to design a comparative model, however, due to the lack of a suitable template, Quark was used for <it>ab initio </it>tertiary structure prediction.</p> <p>The PDB-blast search indicated a maximum of 23% sequence identity and 33% similarity with crystal structure of the porcine reproductive and respiratory syndrome virus leader protease Nsp1α [PDB:<ext-link ext-link-id="3IFU" ext-link-type="pdb">3IFU</ext-link>]. This meant that protein-x does not have a suitable template to predict its tertiary structure using comparative modeling tools, therefore we used QUARK as an <it>ab initio </it>3D prediction approach. Docking results from the <it>ab initio </it>tertiary structure of protein-x and crystal structure of the C/EBPα- DNA region [PDB:<ext-link ext-link-id="1NWQ" ext-link-type="pdb">1NWQ</ext-link>] illustrated the protein-binding site interactions. Indeed, the N-terminal part of 1NWQ has a high affinity for certain regions in protein-x (e.g. from Ala76 to Ser101 and Thr105 to Glu125).</p> <p>Conclusion</p> <p>In this study, we predicted the structure of protein-x of HBV in interaction with C/EBPα. The docking results showed that protein-x has an interaction synergy with C/EBPα. However, despite previous experimental data, protein-x was found to interact with DNA. This can lead to a better understanding of the function of protein-x and may provide an opportunity to use it as a therapeutic target.</p

    The role of mutations in core protein of hepatitis B virus in liver fibrosis

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    The core protein of hepatitis B virus encompasses B- and T-cell immunodominant epitopes and subdivided into two domains: the N-terminal and the functional C-terminal consisted phosphorylation sites. Mutations of the core gene may change the conformation of the core protein or cause alteration of important epitopes in the host immune response. In this study twenty nine men (mean age 40 ± 9 years old) with chronic hepatitis B were recruited for direct sequencing of the core gene. Serum ALT and HBV DNA level were measured at the time of liver biopsy. The effects of core protein mutations on patients' characteristics and subsequently mutations in B cell, T helper and cytotoxic T lymphocyte (CTL) epitopes and also C-terminal domain of core protein on the activity of liver disease was evaluated. Liver fibrosis was significantly increased in patients with core protein mutation (1.0 ± 0.8 vs 1.9 ± 1.4 for mean stage of fibrosis P = 0.05). Mutations in CTL epitopes and in phosphorylation sites of C-terminal domain of core protein also were associated with higher liver fibrosis (P = 0.003 and P = 0.04; Fisher's exact test for both). Patients with mutation in C-terminal domain had higher serum ALT (62 ± 17 vs 36 ± 12 IU/l, p = 0.02). Patients with mutations in B cell and T helper epitopes did not show significant difference in the clinical features. Our data suggests that core protein mutations in CTL epitopes and C-terminal domain accompanied with higher stage of liver fibrosis may be due to alterations in the function of core protein

    Global, regional, and national burden of hepatitis B, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019

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    Global, regional, and national incidence of six major immune-mediated inflammatory diseases: findings from the global burden of disease study 2019

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    Background The causes for immune-mediated inflammatory diseases (IMIDs) are diverse and the incidence trends of IMIDs from specific causes are rarely studied. The study aims to investigate the pattern and trend of IMIDs from 1990 to 2019. Methods We collected detailed information on six major causes of IMIDs, including asthma, inflammatory bowel disease, multiple sclerosis, rheumatoid arthritis, psoriasis, and atopic dermatitis, between 1990 and 2019, derived from the Global Burden of Disease study in 2019. The average annual percent change (AAPC) in number of incidents and age standardized incidence rate (ASR) on IMIDs, by sex, age, region, and causes, were calculated to quantify the temporal trends. Findings In 2019, rheumatoid arthritis, atopic dermatitis, asthma, multiple sclerosis, psoriasis, inflammatory bowel disease accounted 1.59%, 36.17%, 54.71%, 0.09%, 6.84%, 0.60% of overall new IMIDs cases, respectively. The ASR of IMIDs showed substantial regional and global variation with the highest in High SDI region, High-income North America, and United States of America. Throughout human lifespan, the age distribution of incident cases from six IMIDs was quite different. Globally, incident cases of IMIDs increased with an AAPC of 0.68 and the ASR decreased with an AAPC of −0.34 from 1990 to 2019. The incident cases increased across six IMIDs, the ASR of rheumatoid arthritis increased (0.21, 95% CI 0.18, 0.25), while the ASR of asthma (AAPC = −0.41), inflammatory bowel disease (AAPC = −0.72), multiple sclerosis (AAPC = −0.26), psoriasis (AAPC = −0.77), and atopic dermatitis (AAPC = −0.15) decreased. The ASR of overall and six individual IMID increased with SDI at regional and global level. Countries with higher ASR in 1990 experienced a more rapid decrease in ASR. Interpretation The incidence patterns of IMIDs varied considerably across the world. Innovative prevention and integrative management strategy are urgently needed to mitigate the increasing ASR of rheumatoid arthritis and upsurging new cases of other five IMIDs, respectively. Funding The Global Burden of Disease Study is funded by the Bill and Melinda Gates Foundation. The project funded by Scientific Research Fund of Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital (2022QN38)

    Global, regional, and national burden of disorders affecting the nervous system, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

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    BackgroundDisorders affecting the nervous system are diverse and include neurodevelopmental disorders, late-life neurodegeneration, and newly emergent conditions, such as cognitive impairment following COVID-19. Previous publications from the Global Burden of Disease, Injuries, and Risk Factor Study estimated the burden of 15 neurological conditions in 2015 and 2016, but these analyses did not include neurodevelopmental disorders, as defined by the International Classification of Diseases (ICD)-11, or a subset of cases of congenital, neonatal, and infectious conditions that cause neurological damage. Here, we estimate nervous system health loss caused by 37 unique conditions and their associated risk factors globally, regionally, and nationally from 1990 to 2021.MethodsWe estimated mortality, prevalence, years lived with disability (YLDs), years of life lost (YLLs), and disability-adjusted life-years (DALYs), with corresponding 95% uncertainty intervals (UIs), by age and sex in 204 countries and territories, from 1990 to 2021. We included morbidity and deaths due to neurological conditions, for which health loss is directly due to damage to the CNS or peripheral nervous system. We also isolated neurological health loss from conditions for which nervous system morbidity is a consequence, but not the primary feature, including a subset of congenital conditions (ie, chromosomal anomalies and congenital birth defects), neonatal conditions (ie, jaundice, preterm birth, and sepsis), infectious diseases (ie, COVID-19, cystic echinococcosis, malaria, syphilis, and Zika virus disease), and diabetic neuropathy. By conducting a sequela-level analysis of the health outcomes for these conditions, only cases where nervous system damage occurred were included, and YLDs were recalculated to isolate the non-fatal burden directly attributable to nervous system health loss. A comorbidity correction was used to calculate total prevalence of all conditions that affect the nervous system combined.FindingsGlobally, the 37 conditions affecting the nervous system were collectively ranked as the leading group cause of DALYs in 2021 (443 million, 95% UI 378–521), affecting 3·40 billion (3·20–3·62) individuals (43·1%, 40·5–45·9 of the global population); global DALY counts attributed to these conditions increased by 18·2% (8·7–26·7) between 1990 and 2021. Age-standardised rates of deaths per 100 000 people attributed to these conditions decreased from 1990 to 2021 by 33·6% (27·6–38·8), and age-standardised rates of DALYs attributed to these conditions decreased by 27·0% (21·5–32·4). Age-standardised prevalence was almost stable, with a change of 1·5% (0·7–2·4). The ten conditions with the highest age-standardised DALYs in 2021 were stroke, neonatal encephalopathy, migraine, Alzheimer's disease and other dementias, diabetic neuropathy, meningitis, epilepsy, neurological complications due to preterm birth, autism spectrum disorder, and nervous system cancer.InterpretationAs the leading cause of overall disease burden in the world, with increasing global DALY counts, effective prevention, treatment, and rehabilitation strategies for disorders affecting the nervous system are needed
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