REGULATION OF ALTERNATIVE CARBON METABOLISM IN CANDIDA ALBICANS

Candida albicans is the most important fungal pathogen of humans. Transcript profiling studies show that upon phagocytosis by macrophages, C. albicans undergoes a massive metabolic reorganization activating genes involved in alternative carbon metabolism, including the glyoxylate cycle, β-oxidation and gluconeogenesis. Mutations in key enzymes such as ICL1 (glyoxylate cycle) and FOX2 (fatty acid β-oxidation) revealed that alternative carbon metabolic pathways are required for full virulence in C. albicans. These studies indicate C. albicans uses non-preferred carbon sources allowing its adaptation to microenvironments were nutrients are scarce. It has become apparent that the regulatory networks required for regulation of alternative carbon metabolism in C. albicans are considerably different from the Saccharomyces cerevisiae paradigm and appear more analogous to the Aspergillus nidulans systems. Well-characterized transcription factors in S. cerevisiae have no apparent phenotype or are missing in C. albicans. CTF1 was found to be a single functional homolog of the A. nidulans FarA/FarB proteins, which are transcription factors required for fatty acid utilization. Both FOX2 and ICL1 were found to be part of a large CTF1 regulon. To increase our understanding of how CTF1 regulates its target genes, including whether regulation is direct or indirect, the FOX2 and ICL1 promoter regions were analyzed using a combination of bioinformatics and promoter deletion analysis. To begin characterizing the FOX2 and ICL1 promoters, 5’ rapid amplification of cDNA ends (5’RACE) was used to identify two transcriptional initiation sites in FOX2 and one in ICL1. GFP reporter assays show FOX2 and ICL1 are rapidly expressed in the presence of alternative carbon sources. Both FOX2 and ICL1 harbor the CCTCGG sequence known to be bound by the Far proteins, hence rendering the motif as a putative CTF1 DNA binding element. In this study, the CCTCGG sequence was found to be essential for FOX2 regulation. However, this motif does not appear to be equally important for the regulation of ICL1. This study supports the notion that although C. albicans has diverged from the paradigms of model fungi, C. albicans has made specific adaptations to its transcription-based regulatory network that may contribute to its metabolic flexibility.

Type I hypersensitivity and its pharmacological modulation in {\it Trichinella\/}-induced intestinal fluid secretion and rapid rejection of the parasite in immunized rats

Studies were performed to test the hypothesis that type I hypersensitivity underlies worm induced intestinal fluid secretion and the rapid rejection of Trichinella spiralis from immunized rats, and the two events may be related in a cause-effect manner.^ Two approaches were taken. One was to determine whether inhibition of anaphylaxis-mediated Cl$\sp{-}$ and fluid secretion accompanying a secondary infection impedes worm rejection from immune hosts. The other was to determine whether induction of intestinal fluid secretion in nonimmune hosts interfered with worm establishment. In both studies, fluid secretion was measured volumetrically 30 min after a challenge infection and worms were counted.^ In immunized rats indomethacin did not affect the worm-induced fluid secretion when used alone, despite inhibiting mucosal prostaglandin synthesis. Fluid secretion was reduced by treatment with diphenhydramine and further reduced by the combination of diphenhydramine and indomethacin. The paradoxical effects of indomethacin when used alone compared with its coadministration with diphenhydramine is explained by the enhancing effect of indomethacin on histamine release. Abolishing net fluid secretion in these studies had no effect on rapid worm rejection in immune hosts.^ Worm establishment was reduced in recipients of immune serum containing IgE antibodies. Net intestinal fluid secretion induced in normal rats by PGE$\sb2$, cholera toxin, or hypertonic mannitol solution had no effect on worm establishment compared with untreated controls.^ In a related experiment, worm-induced intestinal fluid secretion and worm rejection in immune rats were partially blocked by concurrent injection with 5-HT$\sb2$ and 5-HT$\sb3$ blockers (Ketanserin and MDL-72222), suggesting that 5-HT is involved. This possible involvement was supported in that treatment of nonimmune rats with 5-HT significantly inhibited worm establishment in the intestine.^ Results indicate that anaphylaxis is the basis for both worm-induced intestinal fluid secretion and rapid rejection of T. spiralis in immune rats, but these events are independent of one another. 5-HT is a possible mediator of worm rejection, however, its mechanism of action is related to something other than fluid secretion. ^

Rapid effects of 1alpha,25-dihydroxyvitamin D3 on osteoblasts: Studies of membrane transducers that affect calcium signals

1,25-dihydroxyvitamin D3 [1,25(OH)2D 3] exerts pleiotropic effects on osteoblasts via both long-term nuclear receptor-mediated and rapid membrane-initiated pathways during bone remodeling and mineral homeostasis. This study explored the membrane transducers that mediate rapid effects of 1,25(OH)2D3 on osteoblasts, including sphingomyelinase (SMase) and L-type voltage sensitive calcium channels (VSCCs). ^ It was previously demonstrated that 1,25(OH)2D3 stimulates transmembrane influx of Ca2+ through VSCCs in ROS 17/2.8 osteoblasts, however the molecular identity of 1,25(OH)2D 3-regulated VSCC has not been known. In this study, on the basis of in vitro tests of three unique ribozymes specifically cleaving a1C mRNA, I transfected ROS 17/2.8 cells with vectors coding recombinant ribozyme modified with U1 snRNA structure, and successfully selected stable clonal cells in which the expression of a1C was strikingly reduced. Ca2+ influx studies in these cells compared to control transfectants showed selective attenuation of depolarization- and 1,25(OH)2D3-regulated Ca2+ responses. These results allow us to conclude that the cardiac ( a1C ) subtype of the L-type VSCC is the major membrane transducer of Ca 2+ influx in osteoblasts. ^ I also demonstrated that 1,25(OH)2D3 induces a rapid hydrolysis of membrane sphingomyelin (SM) in ROS 17/2.8 cells, with the concomitant generation of ceramide, detectable at 15 minute, and maximal at 1 hour after addition. Sphingosine, sphingosine-1-phosphate (SPP) and sphingosylphosphorylcholine (SPC), downstream products of SM hydrolysis, but not ceramide, elicit Ca 2+ release from intracellular stores. Considering ceramide, sphingosine, and SPP as second messengers modulating intracellular kinases or phosphatases, these findings implicate sphingolipid-signaling pathways in transducing rapid effects of 1,25(OH)2D3 on osteoblasts. In structure/function analyses of sphingolipid signaling, it was observed that psychosine elicits Ca2+ release from intracellular stores. This challenges the dogma that sphingosine phosphorylation permits mobilization of Ca2+ , because psychosine is a sphingosine analog galactosylated at 1-carbon, preventing phosphorylation at that site. Psychosine is the pathological metabolite found in patients with Krabbe's disease, suggesting that psychosine disrupts the physiological sphingolipid signaling by chronic release of Ca2+ from intracellular stores. ^ Slower SM turnover than Ca2+ influx through VSCCs in response to 1,25(OH)2D3 demonstrates ceramide does not mediate the 1,25(OH)2D3-induced Ca2+ signaling, a conclusion endorsed further by the failure of ceramide to induce Ca 2+ signaling. ^

Identification of the Causative Bacteria in Musculoskeletal Infections Using 16s rDNA - Denaturing Gradient Gel Electrophoresis Analysis

Musculoskeletal infections are infections of the bone and surrounding tissues. They are currently diagnosed based on culture analysis, which is the gold standard for pathogen identification. However, these clinical laboratory methods are frequently inadequate for the identification of the causative agents, because a large percentage (25-50%) of confirmed musculoskeletal infections are false negatives in which no pathogen is identified in culture. My data supports these results. The goal of this project was to use PCR amplification of a portion of the 16S rRNA gene to test an alternative approach for the identification of these pathogens and to assess the diversity of the bacteria involved. The advantages of this alternative method are that it should increase sample sensitivity and the speed of detection. In addition, bacteria that are non-culturable or in low abundance can be detected using this molecular technique. However, a complication of this approach is that the majority of musculoskeletal infections are polymicrobial, which prohibits direct identification from the infected tissue by DNA sequencing of the initial 16S rDNA amplification products. One way to solve this problem is to use denaturing gradient gel electrophoresis (DGGE) to separate the PCR products before DNA sequencing. Denaturing gradient gel electrophoresis (DGGE) separates DNA molecules based on their melting point, which is determined by their DNA sequence. This analytical technique allows a mixture of PCR products of the same length that electrophoreses through agarose gels as one band, to be separated into different bands and then used for DNA sequence analysis. In this way, the DGGE allows for the identification of individual bacterial species in polymicrobial-infected tissue, which is critical for improving clinical outcomes. By combining the 16S rDNA amplification and the DGGE techniques together, an alternative approach for identification has been used. The 16S rRNA gene PCR-DGGE method includes several critical steps: DNA extraction from tissue biopsies, amplification of the bacterial DNA, PCR product separation by DGGE, amplification of the gel-extracted DNA, and DNA sequencing and analysis. Each step of the method was optimized to increase its sensitivity and for rapid detection of the bacteria present in human tissue samples. The limit of detection for the DNA extraction from tissue was at least 20 Staphylococcus aureus cells and the limit of detection for PCR was at least 0.05 pg of template DNA. The conditions for DGGE electrophoreses were optimized by using a double gradient of acrylamide (6 – 10%) and denaturant (30-70%), which increased the separation between distinct PCR products. The use of GelRed (Biotium) improved the DNA visualization in the DGGE gel. To recover the DNA from the DGGE gels the gel slices were excised, shredded in a bead beater, and the DNA was allowed to diffuse into sterile water overnight. The use of primers containing specific linkers allowed the entire amplified PCR product to be sequenced and then analyzed. The optimized 16S rRNA gene PCR-DGGE method was used to analyze 50 tissue biopsy samples chosen randomly from our collection. The results were compared to those of the Memorial Hermann Hospital Clinical Microbiology Laboratory for the same samples. The molecular method was congruent for 10 of the 17 (59%) culture negative tissue samples. In 7 of the 17 (41%) culture negative the molecular method identified a bacterium. The molecular method was congruent with the culture identification for 7 of the 33 (21%) positive cultured tissue samples. However, in 8 of the 33 (24%) the molecular method identified more organisms. In 13 of the 15 (87%) polymicrobial cultured tissue samples the molecular method identified at least one organism that was also identified by culture techniques. Overall, the DGGE analysis of 16S rDNA is an effective method to identify bacteria not identified by culture analysis.

The molecular mechanism of retinoic acid action: Regulation of tissue transglutaminase gene expression

Retinoic acid is a small lipophilic molecule that exerts profound effects on the growth and differentiation of both normal and transformed cells. It is also a natural morphogen that is critical in the development of embryonic structures. The molecular effects of retinoic acid involve alterations in the expression of several proteins and these changes are presumably mediated in part by alterations in gene expression. For instance, retinoic acid causes a rapid induction of tissue transglutaminase, an enzyme involved in protein cross-linking. The molecular mechanisms responsible for the effects of retinoic acid on gene expression have not been characterized. To approach this question, I have isolated and characterized tissue transglutaminase of cDNA clones. The deduced amino acid sequences of tissue transglutaminase and of factor XIIIa showed a relatively high degree of homology in their putative calcium binding domains.^ To explore the mechanism of induction of this enzyme, both primary (macrophages) and cultured cells (Swiss 3T3-C2 and CHO fibroblasts) were used. I found that retinoic acid is a general inducer of tissue transglutaminase mRNA in these cells. In murine peritoneal macrophages retinoic acid causes a rapid accumulation of this mRNA and this effect is independent of concurrent protein synthesis. The retinoic acid effect is not mediated by a post-transcriptional increase in the stability of the tissue transglutaminase mRNA, but appears to involve an increase in the transcription rate of the tissue transglutaminase gene. This provides the first example of regulation by retinoic acid of a specific gene, supporting the hypothesis that these molecules act by directly regulating the transcriptional activity of specific genes. A molecular model for the effects of retinoic acid on the expression of genes linked to cellular proliferation and differentiation is proposed. ^

Expression cloning of a candidate prostate cancer oncogene

Genetic analysis, both karyotyping and comparative genomic hybridization, of prostate cancer cell lines and specimens have revealed multiple areas of concordant increases in DNA content. An increase of DNA in specific regions of the genome in cancer is often associated with the amplification of oncogenes. Based on these observations we have hypothesized that oncogenes are involved in the initiation or progression of prostate cancer. An expression cloning approach was utilized to identify candidate oncogenes in prostate cancer. ^ A full-length, unidirectional cDNA expression library was constructed from DU145 prostate cancer cells. The cDNA library was screened using CP12, a rat prostate epithelial cell line. In soft agarose assays, CP12 (parental or vector transfected) do not form colonies. However, upon the introduction of a number of known oncogenes CP12 becomes anchorage independent in soft agarose. Based on this in-vitro phenotypic shift, a DU145 cDNA library was stably transfected into CP12, and selected for anchorage independence. Two hundred fifty nine anchorage independent clones were isolated. Some colonies contained more than one insert, bringing the candidate oncogene pool to approximately 400. Seven inserts were sequenced at random. Using the sequences obtained, GenBank was screened, and matches were found with p53, PARG1, a mitochondrial ATPase, RNF6, and three unknown genes that mapped to Unigene clusters. As the pool of cDNA inserts appeared promising, overexpressed genes were further selected. From 259 clones, 17 clones were overexpressed more than 6-fold in DU145 compared to Normal Prostate. From the 17 clones, 12 cDNA inserts were strongly expressed in DU145 and were isolated for sequencing. ^ Two of the sequences, 1G6 and 3E9, were identical. Expression of 1G6/2G9/3E9 was tested by RT-PCR. 1G6/2G9/3E9 was not expressed in normal prostate, but was expressed in all prostate cancer cell lines tested as well as six prostate cancer samples. When retransfected into CP12, 1G6/2G9/3E9 induced the formation of foci and anchorage independent colonies. Thus, functional and expression data suggest that 1G6/2G9/3E9 may be a prostate cancer oncogene. ^

Genetic variability and the hypothalamic control of energy balance

Background. Obesity is a major health problem throughout the industrialized world. Despite numerous attempts to curtail the rapid growth of obesity, its incidence continues to rise. Therefore, it is crucial to better understand the etiology of obesity beyond the concept of energy balance.^ Aims. The first aim of this study was to first investigate the relationship between eating behaviors and body size. The second goal was to identify genetic variation associated with eating behaviors. Thirdly, this study aimed to examine the joint relationships between eating behavior, body size and genetic variation.^ Methods. This study utilized baseline data ascertained in young adults from the Training Interventions and Genetics of Exercise (TIGER) Study. Variables assessed included eating behavior (Emotional Eating Scale, Eating Attitudes Test-26, and the Block98 Food Frequency Questionnaire), body size (body mass index, waist and hip circumference, waist/hip ratio, and percent body fat), genetic variation in genes implicated related to the hypothalamic control of energy balance, and appropriate covariates (age, gender, race/ethnicity, smoking status, and physical activity. For the genetic association analyses, genotypes were collapsed by minor allele frequency, and haplotypes were estimated for each gene. Additionally, Bayesian networks were constructed in order to determine the relationships between genetic variation, eating behavior and body size.^ Results. We report that the EAT-26 score, Caloric intake, percent fat, fiber intake, HEAT index, and daily servings of vegetables, meats, grains, and fats were significantly associated with at least one body size measure. Multiple SNPs in 17 genes and haplotypes from 12 genes were tested for their association with body size. Variation within both DRD4 and HTR2A was found to be associated with EAT-26 score. In addition, variation in the ghrelin gene (GHRL) was significantly associated with daily Caloric intake. A significant interaction between daily servings of grains and the HEAT index and variation within the leptin receptor gene (LEPR) was shown to influence body size.^ Conclusion. This study has shown that there is a substantial genetic component to eating behavior and that genetic variation interacts with eating behavior to influence body size.^