Fe, Cu, and Zn are of widespread neurobiological importance, but must be regulated closely as too much or too little of these metals can have adverse effects on brain function. Recent evidence from nutritional models notes that the hippocampus is particularly vulnerable to Fe and Zn deficiencies. We recently performed a quantitative trait loci (QTL) analysis as a preliminary step in identifying genes that contribute to natural variation in hippocampal Fe, Cu, and Zn content. We used ICP-MS to measure the concentrations of these metals in 120-day-old mice from 30 strains of the BXD/TY panel. The BXD/Ty recombinant inbred strain panel is well-suited for complex trait analysis, as all strains are genotyped with a dense marker set and have been phenotyped extensively for neurobehavioral traits and hippocampal gene expression. We observed a wide-range of hippocampal Fe, Cu, and Zn concentrations across the BXD strains. These concentrations were related to systemic Fe status, but not to Fe, Cu, and Zn elsewhere in the brain. The three metals also showed strong covariance, suggestive of overlap in their regulatory pathways. We identified two QTL, on chromosomes 14 and 9, most strongly associated with Cu but also suggestively associated with Fe (chr. 14) and Zn (chr. 9). We also performed genetic correlational analyses with existing data on these strains and revealed associations with cognitive, anxiety-related, and alcohol-related phenotypes. Covariance of these metals with gene expression is also discussed. This work shows that hippocampal Fe, Cu, and Zn are under polygenic influence and that trace metal regulation is associated with hippocampus-related behaviors. Future work will elucidate the genes underlying the two QTL identified, to aid in identifying homologous genetic variants in human populations, which may underlie altered trace metal homeostasis and related neurological disease.

Copper and zinc are trace nutrients essential for normal brain function, yet an excess of these elements can be toxic. It is important therefore that these metals be closely regulated. We recently conducted a quantitative trait loci (QTL) analysis to identify chromosomal regions in the mouse containing possible regulatory genes. The animals came from 15 strains of the BXD/Ty recombinant inbred (RI) strain panel and the brain regions analyzed were frontal cortex, caudate-putamen, nucleus accumbens and ventral midbrain. Several QTL were identified for copper and/or zinc, most notably on chromosomes 1, 8, 16 and 17. Genetic correlational analysis also revealed associations between these metals and dopamine, cocaine responses, saccharine preference, immune response and seizure susceptibility. Notably, the QTL on chromosome 17 is also associated with seizure susceptibility and contains the histocompatibility H2 complex. This work shows that regulation of zinc and copper is under polygenic influence and is intimately related to CNS function. Future work will reveal genes underlying the QTL and how they interact with other genes and the environment. More importantly, revelation of the genetic underpinnings of copper and zinc brain homeostasis will aid our understanding of neurological diseases that are related to copper and zinc imbalance.

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The gene, BTBD9, was recently linked to restless legs syndrome, periodic limb movements and iron status in humans. In a homologous region in mouse, an area containing btbd9 was also identified as being related to iron homeostasis. This finding is important as iron status in brain has been implicated in restless legs syndrome.

In recent years researchers have become increasingly convinced that the performance of information retrieval systems can be greatly enhanced by the use of key phrases for automatic conceptual document indexing and retrieval. In this article we describe two programs, INDEX and INDEXD, which locate repeated phrases in a document, gather statistical information about them, and rank them according to their value as index phrases. The programs show promise as the basis for a sophisticated conceptual indexing system. The simpler program, INDEX, ranks phrases in such a way that frequently occurring phrases which contain several frequently occurring words are given a high ranking. INDEXD Is an extension of INDEX which incorporates a dictionary for stemming, weighting of words and validation of syntax of output phrases. Sample output of both programs is included, and we discuss plans to combine INDEXD with linguistic and artificial intelligence techniques to provide a general conceptual phrase-indexing system that can incorporate expert knowledge about a given application area.