The Autism-Spectrum Quotient in Siblings of People With Autism.

This study measures the distribution of autistic traits, using the autism-spectrum quotient (AQ), in siblings of individuals with autism spectrum conditions (ASC). Total AQ scores, along with AQ subscales, were collected from child, adolescent and adult controls, siblings, and volunteers with ASC using one of the three age-appropriate versions of the instrument: the AQ (adult self-report), the AQ-adolescent and AQ-child (both parent-reports). We examined the effect of Group (case, sibling and control) and AQ version (adult, adolescent and adult) on total and subscale scores. In addition, we tested for sex differences in all groups and on all versions. We found that in male and female adults, AQ scores in siblings fell between cases and controls (cases > siblings > controls). In children and adolescents, female siblings also scored higher than control females (female cases > female siblings > female controls), but there was no difference between male siblings and controls (male cases > male siblings = male controls). An investigation of subscale scores revealed that male siblings only differed from controls on the "Communication" subscale (male cases > male siblings > male controls), while female siblings differed from controls on all subscales except "Imagination" (female cases > female siblings > female controls). This study confirms the broader autism phenotype in siblings, and reveals this is modulated by sex and AQ version. Autism Res 2017, 10: 289-297. © 2016 The Authors Autism Research published by Wiley Periodicals, Inc. on behalf of International Society for Autism Research.This is the final version of the article. It first appeared from Wiley via https://doi.org/10.1002/aur.165

A Nonsynonymous Change in Adhesion G Protein–Coupled Receptor L3 Associated With Risk for Equine Degenerative Myeloencephalopathy in the Caspian Horse

Equine degenerative myeloencephalopathy (EDM), a neurological disease of young horses, causes progressive development of symmetric ataxia predominantly in the pelvic limbs. Equine degenerative myeloencephalopathy is likely inherited and with no known treatment affected horses frequently need euthanasia. Alpha-tocopherol deficiency during early life appears to contribute to the phenotype. This study sought to identify any genetic variants correlated with EDM in Caspian foals. Two half-sibling EDM-diagnosed cases were genotyped at 52,063 loci and evaluated by the Autozygosity by Difference statistic. Additional horses not affected by EDM were used for genetic comparison to identify regions unique to the case phenotype. The associated region on chromosome 3 contains only one gene encoding adhesion G protein–coupled receptor L3 (ADGRL3). Adhesion G protein–coupled receptor L3 is a member of the latrophilin subfamily of G protein–coupled receptors and may contribute to attention deficit/hyperactivity disorder in humans and hyperactive motor function in mice and zebrafish. Analysis of the predicted coding regions for Equine ADGRL3 in affected horses revealed a nonsynonymous single nucleotide polymorphism at Chr3:71,917,591 bp. Caspian and Caspian cross-relatives (n = 81) of the two initial cases and unrelated horses from similar breeds (n = 130, including Arabians, American Miniatures, and Shetlands) possessed this allele at 5% frequency, with no homozygotes observed within the non-Caspian breeds. This study suggests that a polymorphism in ADGRL3 could contribute to a genetic predisposition to Caspian horse EDM

Mineral and organic fertilization alters the microbiome of a soil nematode Dorylaimus stagnalis and its resistome

Although the effects of fertilization on the abundance and diversity of soil nematodes have been widely studied, the impact of fertilization on soil nematode microbiomes remains largely unknown. Here, we investigated how different fertilizers: no fertilizer, mineral fertilizer, clean slurry (pig manure with a reduced antibiotic burden) and dirty slurry (pig manure with antibiotics) affect the microbiome of a dominant soil nematode and its associated antibiotic resistance genes (ARGs). The results of 16S rRNA gene high throughput sequencing showed that the microbiome of the soil nematode Dorylaimus stagnalis is diverse (Shannon index: 9.95) and dominated by Proteobacteria (40.3%). Application of mineral fertilizers significantly reduced the diversity of the nematode microbiome (by 28.2%; P < 0.05) but increased the abundance of Proteobacteria (by 70.1%; P = 0.001). Microbial community analysis, using a null hypothesis model, indicated that microbiomes associated with the nematode are not neutrally assembled. Organic fertilizers also altered the diversity of the nematode microbiome, but had no impact on its composition as illustrated by principal coordinates analysis (PCoA). Interestingly, although no change of total ARGs was observed in the nematode microbiome and no significant relationship existed between nematode microbiome and resistome, the abundance of 48 out of a total of 75 ARGs was enriched in the organic fertilizer treatments. Thus, the data suggests that ARGs in the nematode microbiome still had a risk of horizontal gene transfer under fertilization and nematodes might be a potential refuge for ARGs

A Urinary Metabolic Signature for Multiple Sclerosis and Neuromyelitis Optica

Urine is a metabolite-rich biofluid that reflects the body’s effort to maintain chemical and osmotic homeostasis. Clinical diagnosis routinely relies on urine samples because the collection process is easy and noninvasive. Despite these advantages, urine is an under-investigated source of biomarkers for multiple sclerosis (MS). Nuclear magnetic resonance spectroscopy (NMR) has become a common approach for analyzing urinary metabolites for disease diagnosis and biomarker discovery. For illustration of the potential of urinary metabolites for diagnosing and treating MS patients, and for differentiating between MS and other illnesses, 38 urine samples were collected from healthy controls, MS patients, and neuromyelitis optica-spectrum disorder (NMO-SD) patients and analyzed with NMR, multivariate statistics, one-way ANOVA, and univariate statistics. Urine from MS patients exhibited a statistically distinct metabolic signature from healthy and NMO-SD controls. A total of 27 metabolites were differentially altered in the urine from MS and NMO-SD patients and were associated with synthesis and degradation of ketone bodies, amino acids, propionate and pyruvate metabolism, tricarboxylic acid cycle, and glycolysis. Metabolites altered in urine from MS patients were shown to be related to known pathogenic processes relevant to MS, including alterations in energy and fatty acid metabolism, mitochondrial activity, and the gut microbiota