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Accumulating evidence indicates that gut microorganisms have a pathogenic role in autoimmune diseases, including in multiple sclerosis1. Studies of experimental autoimmune encephalomyelitis (an animal model of multiple sclerosis)2,3, as well as human studies4–6, have implicated gut microorganisms in the development or severity of multiple sclerosis. However, it remains unclear how gut microorganisms act on the inflammation of extra-intestinal tissues such as the spinal cord. Here we show that two distinct signals from gut microorganisms coordinately activate autoreactive T cells in the small intestine that respond specifically to myelin oligodendrocyte glycoprotein (MOG). After induction of experimental autoimmune encephalomyelitis in mice, MOG-specific CD4+T cells are observed in the small intestine. Experiments using germ-free mice that were monocolonized with microorganisms from the small intestine demonstrated that a newly isolated strain in the family Erysipelotrichaceae acts similarly to an adjuvant to enhance the responses of T helper 17 cells. Shotgun sequencing of the contents of the small intestine revealed a strain of Lactobacillus reuterithat possesses peptides that potentially mimic MOG. Mice that were co-colonized with these two strains showed experimental autoimmune encephalomyelitis symptoms that were more severe than those of germ-free or monocolonized mice. These data suggest that the synergistic effects that result from the presence of these microorganisms should be considered in the pathogenicity of multiple sclerosis, and that further study of these microorganisms may lead to preventive strategies for this disease.

The human gut harbors a large and diverse community of commensal bacteria. Among them, Bifidobacterium is known to exhibit various probiotic effects including protection of hosts from infectious diseases. We recently discovered that genes encoding an ATP-binding-cassette-type carbohydrate transporter present in certain bifidobacteria contribute to protecting gnotobiotic mice from death induced by enterohemorrhagic Escherichia coliO157:H7. We elucidated the molecular mechanism on lethal infection in mice associated with several bifidobacterial strains by a multi-omics approach combining genomics, transcriptomics and metabolomics. The combined data clearly show that acetate produced by protective bifidobacteria acts in vivo to promote defense functions of the host epithelial cells and thereby protects the host from lethal infection. As demonstrated here, our multi-omics approach provides a powerful strategy for evaluation of host-microbial interactions in the complex gut ecosystem.

Fructooligosaccharides (FOS) are considered as prebiotics and are well known for their health-promoting properties, including antitumor, allergy–preventive, and infection–protective effects. They exert these effects by modulating the gut microbial composition and dynamics. In the present study, we performed a comparative whole metagenome shotgun sequencing analysis (WMGS) to elucidate the gut microbiota and secretary Immunoglobulin A (SIgA) dynamics as a result of 5% (w/w) FOS supplementation over a period of 7 days (fecal samples were collected every day). A number of taxa including Bacteroides, Lactobacillus, Roseburia, Clostridia, Faecalibaculum, and Enterorhabduswere found to be modulated with SIgA production in the murine gut. The process of SIgA production from FOS metabolization was found to be carried out via the production of short-chain fatty acids in the gut. Species of Bacteroidesand Roseburia; namely, B. caccae, B. finegoldii, B. ovatus, B. thetaiotamicron,and Roseburia intestinalis,respectively, are predominantly responsible for FOS metabolization in the murine gut. The abundances of these bacterial species and their corresponding functions involved in FOS metabolization decreased over time even though these prebiotics were administered continuously for seven days. This suggests that there is a decrease in FOS metabolization over time. In addition, the present analysis suggests that the administration of FOS may help to reduce the pathogenic bacteria from the gut via SIgA production.

It was generally believed that autosomal CpG islands (CGIs) escape methylation. However, our comprehensive analysis of allelic methylation status of 149 CGIs on human chromosome 21q revealed that a sizable fraction of them are methylated on both alleles even in normal blood cells. Here, we performed a similar analysis of 656 CGIs on chromosome 11q, which is gene-rich in contrast with 21q. The results indicate that 11q contains less methylated CGIs, especially those with tandem repeats and those in the coding or 3'-untranslated regions (UTRs), than 21q. Thus, methylation status of CGIs may substantially differ from one chromosome to another.

Comprehensive knowledge of the gene content of human chromosome 21 (HSA21) is essential for understanding the etiology of Down syndrome (DS). Here we report the largest comparison of finished mouse and human sequence to date for a 1.35-Mb region of mouse chromosome 16 (MMU16) that corresponds to human chromosome 21q22.2. This includes a portion of the commonly described "DS critical region," thought to contain a gene or genes whose dosage imbalance contributes to a number of phenotypes associated with DS. We used comparative sequence analysis to construct a DNA feature map of this region that includes all known genes, plus 144 conserved sequences > or =100 bp long that show > or =80% identity between mouse and human but do not match known exons. Twenty of these have matches to expressed sequence tag and cDNA databases, indicating that they may be transcribed sequences from chromosome 21. Eight putative CpG islands are found at conserved positions. Models for two human genes, DSCR4 and DSCR8, are not supported by conserved sequence, and close examination indicates that low-level transcripts from these loci are unlikely to encode proteins. Gene prediction programs give different results when used to analyze the well-conserved regions between mouse and human sequences. Our findings have implications for evolution and for modeling the genetic basis of DS in mice.

The RUNX1gene on human chromosome 21q22.12 belongs to the ‘runt domain’ gene family of transcription factors (also known as AML/CBFA/PEBP2α). RUNX1is a key regulator of hematopoiesis and a frequent target of leukemia associated chromosomal translocations. Here we present a detailed analysis of the RUNX1locus based on its complete genomic sequence. RUNX1spans 260 kb and its expression is regulated through two distinct promoter regions, that are 160 kb apart. A very large CpG island complex marks the proximal promoter (promoter-2), and an additional CpG island is located at the 3′ end of the gene. Hitherto, 12 different alternatively spliced RUNX1cDNAs have been identified. Genomic sequence analysis of intron/exon boundaries of these cDNAs has shown that all consist of properly spliced authentic coding regions. This indicates that the large repertoire of RUNX1 proteins, ranging in size between 20–52 kDa, are generated through usage of alternatively spliced exons some of which contain in frame stop codons. The gene’s introns are largely depleted of repetitive sequences, especially of the LINE1 family. The RUNX1locus marks the transition from a ~1 Mb of gene-poor region containing only pseudogenes, to a gene-rich region containing several functional genes. A search for RUNX1sequences that may be involved in the high frequency of chromosomal translocations revealed that a 555 bp long segment originating in chromosome 11 FLI1gene was transposed into RUNX1intron 4.1. This intron harbors the t(8;21) and t(3;21) chromosomal breakpoints involved in acute myeloid leukemia. Interestingly, the FLI1homologous sequence contains a breakpoint of the t(11;22) translocation associated with Ewing's tumors, and may have a similar function in RUNX1.

Parkinson disease (PD) is a prevalent movement disorder of unknown cause whose incidence rises with increasing age. Nearly 20% of PD is familial, a small subset of which exhibits autosomal dominant transmission. However, in most families, the inheritance is not clear. To determine the most likely mode of inheritance of PD, we performed complex segregation analyses using kindreds of 136 PD patients randomly ascertained from a clinic population. The hypotheses of a nontransmissible environmental factor, no major gene or type (sporadic), and all Mendelian inheritance (dominant, recessive, additive, decreasing) were rejected (P <0.001). Familial clustering of PD in this data set is best explained by a rare familial factor which a) is transmitted in a non-Mendelian fashion, and b) influences the age at onset of PD. If confirmed, our results have immediate implications in gene-mapping studies which often search for genes that behave in a Mendelian fashion that affect susceptibility rather than age at onset and long term implications in understanding the pathogenesis of PD. Am. J. Med. Genet. 80:410–417, 1998. © 1998 Wiley-Liss, Inc.

Hallervorden-Spatz syndrome (HSS) (OMIM #234200) is a rare, autosomal recessive neurodegenerative disorder with brain iron accumulation as a prominent finding. Clinical features include extrapyramidal dysfunction, onset in childhood, and a relentlessly progressive course1. Histologic study reveals massive iron deposits in the basal ganglia. Systemic and cerebrospinal fluid iron levels are normal, as are plasma levels of ferritin, transferrin and ceruloplasmin. Conversely, in disorders of systemic iron overload, such as haemochromatosis, brain iron is not increased, which suggests that fundamental differences exist between brain and systemic iron metabolism and transport. In normal brain, non-haem iron accumulates regionally and is highest in basal ganglia2. Pathologic brain iron accumulation is seen in common disorders, including Parkinson's disease3,4, Alzheimer's disease5,6and Huntington disease7. In order to gain insight into normal and abnormal brain iron transport, metabolism and function, our approach was to map the gene for HSS. A primary genome scan was performed using samples from a large, consanguineous family (HS1) (see Fig. 1). While this family was immensely powerful for mapping, the region demonstrating homozygosity in all affected members spans only 4 cM, requiring very close markers in order to detect linkage. The HSS gene maps to an interval flanked by D20S906 and D20S116 on chromosome 20p12.3–p13. Linkage was confirmed in nine additional families of diverse ethnic backgrounds.