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Dive into the research topics where Michael J. Sorich is active.

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Featured researches published by Michael J. Sorich.


Molecular Autism | 2013

Increased abundance of Sutterella spp. and Ruminococcus torques in feces of children with autism spectrum disorder

Lv Wang; Claus T. Christophersen; Michael J. Sorich; Jacobus P. Gerber; Manya Angley; Michael A. Conlon

BackgroundA recent report indicated that numbers of Sutterella spp. are elevated in gastrointestinal biopsies taken from children with autism spectrum disorder (ASD). We have recently reported changes in the numbers of some bacteria within the stool of ASD children, and now examine whether numbers of Sutterella spp. and some other mucosa-associated bacteria linked with gastrointestinal disease (Ruminococcus gnavus and Ruminococcus torques) are also altered in the stool of these children.FindingsWe show that numbers of Sutterella spp. are elevated in feces of ASD children relative to controls, and that numbers of R. torques are higher in the children with ASD with a reported functional gastrointestinal disorder than those without such a disorder.ConclusionsWe show further evidence of changes in the gut microbiota of children with ASD and confirm that the abundance of Sutterella spp. is altered in stool.


Applied and Environmental Microbiology | 2011

Low relative abundances of the mucolytic bacterium Akkermansia muciniphila and Bifidobacterium spp. in feces of children with autism.

Lv Wang; Claus T. Christophersen; Michael J. Sorich; Jacobus P. Gerber; Manya Angley; Michael A. Conlon

ABSTRACT Gastrointestinal disturbance is frequently reported for individuals with autism. We used quantitative real-time PCR analysis to quantify fecal bacteria that could influence gastrointestinal health in children with and without autism. Lower relative abundances of Bifidobacteria species and the mucolytic bacterium Akkermansia muciniphila were found in children with autism, the latter suggesting mucus barrier changes.


British Journal of Cancer | 2015

Meta-analysis of BRAF mutation as a predictive biomarker of benefit from anti-EGFR monoclonal antibody therapy for RAS wild-type metastatic colorectal cancer

Andrew Rowland; Mafalda M. Dias; Michael D. Wiese; Ganessan Kichenadasse; Ross A. McKinnon; Christos Stelios Karapetis; Michael J. Sorich

Metastatic colorectal cancer (mCRC) that harbours a BRAF V600E mutation (BRAF MT) is associated with poorer outcomes. However, whether this mutation is predictive of treatment benefit from anti-epidermal growth factor receptor (EGFR) monoclonal antibodies (mAbs) is uncertain. We conducted a systematic review and meta-analysis of randomised controlled trials (RCTs) published up to July 2014 that evaluated the effect of BRAF MT on the treatment benefit from anti-EGFR mAbs for mCRC. Seven RCTs met the inclusion criteria for assessment of overall survival (OS), whereas eight RCTs met the inclusion criteria for assessment of progression-free survival (PFS). For RAS WT/BRAF MT tumours, the hazard ratio for OS benefit with anti-EGFR mAbs was 0.97 (95% CI; 0.67–1.41), whereas the hazard ratio was 0.81 (95% CI; 0.70–0.95) for RAS WT/BRAF WT tumours. However, the test of interaction (P=0.43) was not statistically significant, highlighting that the observed differences in the effect of anti-EGFR mAbs on OS according to the BRAF mutation status may be due to chance alone. Regarding PFS benefit with anti-EGFR mAbs, the hazard ratio was 0.86 (95% CI; 0.61–1.21) for RAS WT/BRAF MT tumours as compared with 0.62 (95% CI; 0.50–0.77) for RAS WT/BRAF WT tumours (test of interaction, P=0.07). This meta-analysis demonstrates that there is insufficient evidence to definitively state that RAS WT/BRAF MT individuals attain a different treatment benefit from anti-EGFR mAbs for mCRC compared with RAS WT/BRAF WT individuals. As such, there are insufficient data to justify the exclusion of anti-EGFR mAb therapy for patients with RAS WT/BRAF MT mCRC.


Journal of Thrombosis and Haemostasis | 2010

Prasugrel vs. clopidogrel for cytochrome P450 2C19-genotyped subgroups: integration of the TRITON-TIMI 38 trial data

Michael J. Sorich; Agnes Vitry; Michael B. Ward; J. D. Horowitz; Ross A. McKinnon

Summary.  Background: Prasugrel is a newly marketed antiplatelet drug with improved cardiac outcomes as compared with clopidogrel for acute coronary syndromes involving percutaneous coronary intervention (PCI). Analysis of a subset of the TRITON‐TIMI 38 trial demonstrated that cytochrome P450 2C19 (CYP2C19) reduced‐function genotypes are associated with differential clinical responses to clopidogrel, but not prasugrel. Whether the CYP2C19 genotype has the potential to influence clinical choice of these drugs prior to PCI for individuals with unstable angina or non‐ST segment elevation myocardial infarction is currently uncertain. Methods and Results: An exploratory, secondary analysis was undertaken to estimate the clinical benefit of prasugrel over clopidogrel in subgroups defined by CYP2C19 genotype, by integrating the published results of the genetic substudy and the overall TRITON‐TIMI 38 trial. Individuals with a CYP2C19 reduced‐metabolizer genotype were estimated to have a substantial reduction in the risk of the composite primary outcome (cardiovascular death, myocardial infarction, or stroke) with prasugrel as compared with clopidogrel [relative risk (RR) 0.57; 95% confidence interval (CI) 0.39–0.83]. For CYP2C19 extensive metabolizers (∼ 70% of the population), however, the composite outcome risks with prasugrel and clopidogrel were not substantially different (RR 0.98; 95% CI 0.80–1.20). Conclusions: Integration of the TRITON‐TIMI 38 data suggests that the CYP2C19 genotype can discriminate between individuals who receive extensive benefit from using prasugrel instead of clopidogrel, and individuals with comparable clinical outcomes with prasugrel and clopidorel. Thus, CYP2C19 genotyping has the potential to guide the choice of antiplatelet therapy, and further research is warranted to validate this estimate.


Journal of Chemical Information and Modeling | 2009

Partial Charge Calculation Method Affects CoMFA QSAR Prediction Accuracy

Ruchi R. Mittal; Lisa Harris; Ross A. McKinnon; Michael J. Sorich

The 3D-QSAR method comparative molecular field analysis (CoMFA) involves the estimation of atomic partial charges as part of the process of calculating molecular electrostatic fields. Using 30 data sets from the literature the effect of using different common partial charge calculation methods on the predictivity (cross-validated R2) of CoMFA was studied. The partial charge methods ranged from the popular Gasteiger and the newer MMFF94 electronegativity equalization methods, to the more complex and computationally expensive semiempirical charges AM1, MNDO, and PM3. The MMFF94 and semiempirical MNDO, AM1, and PM3 methods for computing charges were found to result in statistically significantly more predictive CoMFA models than the Gasteiger charges. Although there was a trend toward the semiempirical charges performing better than the MMFF94 charges, the difference was not statistically significant. Thus, semiempirical partial charge calculation methods are suggested for the most predictive CoMFA models, but the MMFF94 charge calculation method is a very good alternative if semiempirical methods are not available or faster calculation speed is important.


Pharmacogenomics | 2012

Impact of the UGT1A1*28 allele on response to irinotecan: a systematic review and meta-analysis.

Mafalda M. Dias; Ross A. McKinnon; Michael J. Sorich

AIM Pre-emptive irinotecan dose reduction for UGT1A1*28 homozygotes may result in reduced risk of severe neutropenia and diarrhea. However, clinical utility and cost-effectiveness are dependent upon such a dose reduction not impacting irinotecan efficacy. Whether UGT1A1*28 genotype is associated with irinotecan response therefore is an important gap in existing knowledge to inform clinical utility. MATERIALS & METHODS A systematic review and meta-analysis was performed to analyze the difference in objective response rate (ORR) between irinotecan-administered cancer patients with different UGT1A1*28 genotypes: *28/*28 (homozygous variant), *1/*28 (heterozygous variant) or *1/*1 (wild-type). The effect of irinotecan dose on the association between UGT1A1*28 and ORR was also assessed. RESULTS Differences in ORR for either of the genotype comparisons, *28/*28 versus *1/*1 and *1/*28 versus *1/*1, were not statistically significant. Irinotecan dose also did not impact upon ORR differences between UGT1A1 genotype groups. CONCLUSION An individuals response to irinotecan is unlikely to be affected by UGT1A1*28 status.


Biomarkers in Medicine | 2014

Gastrointestinal microbiota and metabolite biomarkers in children with autism spectrum disorders

Lv Wang; Michael A. Conlon; Claus T. Christophersen; Michael J. Sorich; Manya Angley

Autism spectrum disorder (ASD) is a neurodevelopmental disorder. Many affected individuals also display symptoms of gastrointestinal (GI) disturbance, suggesting GI factors may play an important role in the pathogenesis of ASD and/or related complications. The current review will focus on evidence supporting a role for the GI microbiota and their fermentation products in the etiology and/or symptoms of ASD, and their potential use as biomarkers. GI-related biomarkers could potentially enable early identification of ASD at risk of GI disturbance, and thereby guide targeted interventions, potentially improving the health and quality of life of affected individuals.


Arthritis Research & Therapy | 2012

Polymorphisms in cytochrome P450 2C19 enzyme and cessation of leflunomide in patients with rheumatoid arthritis

Michael D. Wiese; Matthew Schnabl; Catherine O'Doherty; L. Spargo; Michael J. Sorich; Leslie G. Cleland; Susanna Proudman

IntroductionRational selection of disease modifying anti-rheumatic drugs in the treatment of rheumatoid arthritis (RA) has many potential advantages, including rapid disease control, reduced long-term disability and reduced overall cost to the healthcare system. Inter-individual genetic differences are particularly attractive as markers to predict efficacy and toxicity, as they can be determined rapidly prior to drug selection. The aims of this study, therefore, were to investigate the association between differences in genes associated with the metabolism, clearance and efficacy of leflunomide with its cessation in a group of rheumatoid arthritis patients who were treated with an intensive contemporary, treat-to-target approach.MethodsThis retrospective cohort study identified all individuals who received leflunomide and were enrolled in the Early Arthritis inception cohort at the Royal Adelaide Hospital between 2001 and July 2011. Inclusion criteria were age (>18) and a diagnosis of rheumatoid arthritis. Patients were excluded if a DNA sample was not available, if they withdrew from the cohort or if clinical data were insufficient. Subjects were followed for 12 months or until either another disease modifying antirheumatic drug was added or leflunomide was ceased. The following single nucleotide polymorphisms (SNPs) were determined: CYP2C19*2 (rs4244285), CYP2C19*17 (rs12248560), ABCG2 421C>A (rs2231142), CYP1A2*1F (rs762551) and DHODH 19C>A (rs3213422). The effects of variables on cessation were assessed with Cox Proportional Hazard models.ResultsThirty-three of 78 (42.3%) patients ceased leflunomide due to side effects. A linear trend between cytochrome P450 2C19 (CYP2C19) phenotype and leflunomide cessation was observed, with poor and intermediate metabolizers ceasing more frequently (adjusted Hazard Ratio = 0.432 for each incremental change in phenotype, 95% CI 0.237 to 0.790, P = 0.006). Previously observed associations between cytochrome P450 1A2 (CYP1A2) and dihydro-orotate dehydrogenase (DHODH) genotype and toxicity were not apparent, but there was a trend for ATP-binding cassette sub-family G member 2 (ABCG2) genotype to be associated with cessation due to diarrhea.ConclusionsCYP2C19 phenotype was associated with cessation due to toxicity, and since CYP2C19 intermediate and poor metabolizers have lower teriflunomide concentrations, it is likely that they have a particularly poor risk:benefit ratio when using this drug.


Biomarkers | 2011

A review of candidate urinary biomarkers for autism spectrum disorder.

Lv Wang; Manya Angley; Jacobus P. Gerber; Michael J. Sorich

Context: Autism is a complex, heterogeneous neurodevelopmental condition with a strong genetic component potentially impacted by various environmental factors influencing susceptibility. There are no reliable laboratory tests available to confirm an autism diagnosis. Objective: To examine the published literature and identify putative urinary biomarkers of autism. Methods: A comprehensive literature search was conducted using electronic bibliographic databases. Results: Putative autism biomarkers were identified that could be categorized according to the key theories that exist regarding the etiology of autism: gastrointestinal factors, immune dysregulation, heavy metal toxicity, neurotransmitter abnormalities, and oxidative stress. Conclusion: There is scope for specific urinary biomarkers to be useful for identification of autistic metabolic phenotypes.


Clinical Pharmacology & Therapeutics | 2013

Challenges and Limitations in the Interpretation of Systematic Reviews: Making Sense of Clopidogrel and CYP2C19 Pharmacogenetics

Michael J. Sorich; Thomas M. Polasek; Michael D. Wiese

From 2010 to 2012, nine systematic reviews reported highly variable conclusions regarding the association between carriage of a cytochrome P450 2C19 loss‐of‐function allele and the risk of adverse cardiovascular (CV) events in individuals using clopidogrel. Possible contributors to the variable findings include differences in patient populations, CV end points, and statistical models utilized by the systematic reviews, as well as unexplained heterogeneity, inconsistent/incomplete reporting, and risk of publication bias with respect to the primary studies.

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Michael D. Wiese

University of South Australia

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Michael B. Ward

University of South Australia

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Lv Wang

University of South Australia

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Manya Angley

University of South Australia

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Jacobus P. Gerber

University of South Australia

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Paul A. Smith

Australian Wine Research Institute

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