Comparative effects of losartan and irbesartan on serum uric acid in hypertensive patients with hyperuricaemia and gout.

OBJECTIVE: Losartan has been shown to increase urinary uric acid excretion and hence to lower serum uric acid levels. The purposes of the present study were: (1) to evaluate the effects of losartan on serum uric acid in hypertensive patients with hyperuricemia and gout, (2) to compare the effects of losartan with those of irbesartan, another angiotensin II receptor antagonist and (3) to evaluate whether losartan 50 mg b.i.d. has a greater impact on serum uric acid levels than losartan 50 mg once a day. METHODS: Thirteen hypertensive patients with hyperuricaemia and gout completed this prospective, randomized, double-blind, cross-over study. Uric acid-lowering drugs were stopped 3 weeks before the beginning of the study. Patients were randomized to receive either losartan 50 mg or irbesartan 150 mg once a day, for 4 weeks. During this phase, a placebo was given in the evening. After 4 weeks, the dose was increased to losartan 50 mg b.i.d., or irbesartan 150 mg b.i.d. for another 4 week period. Subsequently, the patients were switched to the alternative treatment modality. Enalapril (20 mg o.d.) was given during the run-in period and between the two treatment phases. Serum and urinary uric acid were measured at the beginning and at the end of each treatment phase. RESULTS: Our results show that losartan 50 mg once daily decreased serum uric acid levels from 538 +/- 26 to 491 +/- 20 micromol/l (P < 0.01). Irbesartan had no effect on serum uric acid. Increasing the dose of losartan from 50 mg o.d. to 50 mg twice a day, did not further decrease serum uric acid. This may in part be due to a low compliance to the evening dose as measured with an electronic device. Indeed, whatever the prescribed drug, the mean compliance of the evening dose was always significantly lower than that of the morning dose. The uricosuric effect of losartan appears to decrease with time when a new steady state of lower serum uric acid is reached. CONCLUSIONS: In contrast to irbesartan, losartan was uricosuric and decreased serum uric acid levels. Losartan 50 mg b.i.d. did not produce a greater fall in serum uric acid than losartan once a day. Losartan might be a useful therapeutic tool to control blood pressure and reduce serum uric acid levels in hypertensive patients with hyperuricaemia and gout.

Le trouble de l'adaptation, un diagnostic anodin ? : une étude comparative avec le trouble dépressif majeur

Résumé Le trouble de l'adaptation est un diagnostic très fréquent, mais étonnamment peu étudié et controversé. Il est, selon les études, considéré comme une forme mineure d'un trouble psychiatrique spécifique, comme une fragilité psychologique révélée par un événement stressant pour le sujet ou encore comme une forme précoce annonçant un trouble psychiatrique majeur. Ces trois points de vue ramènent en fait tous à la question de fond concernant son étiologie. L'objectif de cette étude est de montrer si le trouble de l'adaptation est un diagnostic clairement différencié dont l'existence est justifiée. Afin de tenter de répondre à cette question, il nous est apparu intéressant de comparer cette catégorie diagnostique à une autre catégorie diagnostique psychiatrique importante, le trouble dépressif majeur. Dans cette étude rétrospective nous avons sélectionné tous les patients avec un diagnostic de trouble de l'adaptation ou un trouble dépressif majeur parmi les patients hospitalisés à l'hôpital psychiatrique de Malévoz en Valais en 1993 (580). Elle est basée sur des diagnostics cliniques. Nous avons comparé leurs données socio-démographiques (âge, sexe, nationalité, état civil, activité professionnelle), leurs antécédents psychiatriques (hospitalisations antérieures, suivi psychiatrique ambulatoire, antécédents de tentamen), leurs hospitalisations ultérieures dans les 5 ans, leur hospitalisation actuelle (durée, tentamens, comorbidité) et les traitements médicamenteux prescrits (leur nombre et leur classe). Notre étude met en évidence certaines distinctions entre le trouble de l'adaptation et le trouble dépressif majeur: les patients souffrant de trouble de l'adaptation diffèrent des troubles dépressifs majeurs par le fait qu'ils sont plus fréquemment des hommes, célibataires et plus jeunes que ceux souffrant de trouble dépressif majeur; leur durée d'hospitalisation est plus courte, leur évolution entre les hospitalisations est meilleure et ils reçoivent moins de psychotropes. Nous ne pouvons cependant pas conclure à une distinction claire de ces deux catégories diagnostiques, ni que le trouble de l'adaptation n'est pas simplement lié à une moindre gravité. Nos résultats confirment par contre que ce diagnostic n'est pas non plus un diagnostic anodin (nombre élevé d'antécédents psychiatriques, de tentamens, d'hospitalisations psychiatriques ultérieures, importance des comorbidités de même que la lourdeur des traitements psychotropes prescrits (notamment la fréquence des neuroleptiques). A notre avis, les trois hypothèses étiologiques (forme mineure, trouble précoce ou fragilité psychologique spécifique révélée par un événement stressant) qui ont été évoquées peuvent être considérées comme plausibles suivant le point de vue que l'on choisit. Le diagnostic de trouble de l'adaptation révèle une des limitations de l'approche du DSM-Ill-R qui se veut athéorique. Le fait que dans sa définition même, le DSM-111-R évoque "qu'il faut souvent se référer au seul jugement clinique" le montre bien, un tel diagnostic renvoie inévitablement à une référence psychopathologique. Nous pensons qu'il est illusoire de vouloir se passer d'une telle référence qui elle seule permet d'appréhender justement la portée symbolique d'un événement donné pour un individu. Summary In this retrospective study we selected all the patients with a diagnosis of adjustment disorder (77) or major depressive disorder (125) among the patients hospitalised in the psychiatric hospital of Malevoz in Valais during the year 1993 (580). It is based on clinical diagnosis. Their social and demographic characteristics (age, sex, nationality, marital status, professional activity), their past psychiatric history (earlier psychiatric hospitalisations, ambulatory treatment and attempted suicide), their hospitalisations during the next 5 years, their index hospitalisation (length, attempted suicide, comorbidity) and their drug treatment (number and class of prescribed drugs) were compared. This survey confirms certain differences be-tween adjustment disorder and major depression disorder: patients suffering from adjustment disorder were more often men, not married, younger than those suffering from major depression; their hospitalisations were shorter with a better evolution between hospitalisations and they received less medication. However, the study does not allow to clearly distinguish between the two diagnoses or to conclude that adjustment disorder is not only a minor form of a specific psychiatric disorder. Yet it confirms that adjustment disorder is not a light diagnosis (importance of the psychiatric past, high number of past attempted suicides, rehospitalisations, number of comorbid disorders and weight of the prescribed psychotropic treatments among which neuroleptics were frequent). The three aetiological hypotheses that have been proposed (minor form of a specific disorder, specific psychological vulnerability revealed by a stress factor or precursor manifestation of a major psychiatric disorder) can still be considered as plausible. The diagnosis of adjustment disorder points to methodological limitations of the atheoretical approach of the DSM-III-R. The fact that, in its DSM-III-R definition, it is stated that the diagnosis of adjustment disorder has often to be based only on clinical judgment shows very well that such a diagnosis inevitably refers to a psychopathological theory. Indeed, the authors consider an approach without such a reference as difficult, a reference which remains the only way to appreciate accurately the symbolic weight of a given event for an individual person.

Molecular changes underlying mammalian phenotypic innovation

Mammals are characterized by specific phenotypic traits that include lactation, hair, and relatively large brains with unique structures. Individual mammalian lineages have, in turn, evolved characteristic traits that distinguish them from others. These include obvious anatom¬ical differences but also differences related to reproduction, life span, cognitive abilities, be¬havior. and disease susceptibility. However, the molecular basis of the diverse mammalian phenotypes and the selective pressures that shaped their evolution remain largely unknown. In the first part of my thesis, I analyzed the genetic factors associated with the origin of a unique mammalian phenotype lactation and I studied the selective pressures that forged the transition from oviparity to viviparity. Using a comparative genomics approach and evolutionary simulations, I showed that the emergence of lactation, as well as the appear¬ance of the casein gene family, significantly reduced selective pressure on the major egg-yolk proteins (the vitellogenin family). This led to a progressive loss of vitellogenins, which - in oviparous species - act as storage proteins for lipids, amino acids, phosphorous and calcium in the isolated egg. The passage to internal fertilization and placentation in therian mam¬mals rendered vitellogenins completely dispensable, which ended in the loss of the whole gene family in this lineage. As illustrated by the vitellogenin study, changes in gene content are one possible underlying factor for the evolution of mammalian-specific phenotypes. However, more subtle genomic changes, such as mutations in protein-coding sequences, can also greatly affect the phenotypes. In particular, it was proposed that changes at the level of gene reg¬ulation could underlie many (or even most) phenotypic differences between species. In the second part of my thesis, I participated in a major comparative study of mammalian tissue transcriptomes, with the goal of understanding how evolutionary forces affected expression patterns in the past 200 million years of mammalian evolution. I showed that, while com¬parisons of gene expressions are in agreement with the known species phylogeny, the rate of expression evolution varies greatly among lineages. Species with low effective population size, such as monotremes and hominoids, showed significantly accelerated rates of gene expression evolution. The most likely explanation for the high rate of gene expression evolution in these lineages is the accumulation of mildly deleterious mutations in regulatory regions, due to the low efficiency of purifying selection. Thus, our observations are in agreement with the nearly neutral theory of molecular evolution. I also describe substantial differences in evolutionary rates between tissues, with brain being the most constrained (especially in primates) and testis significantly accelerated. The rate of gene expression evolution also varies significantly between chromosomes. In particular, I observed an acceleration of gene expression changes on the X chromosome, probably as a result of adaptive processes associated with the origin of therian sex chromosomes. Lastly, I identified several individual genes as well as co-regulated expression modules that have undergone lineage specific expression changes and likely under¬lie various phenotypic innovations in mammals. The methods developed during my thesis, as well as the comprehensive gene content analyses and transcriptomics datasets made available by our group, will likely prove to be useful for further exploratory analyses of the diverse mammalian phenotypes.

Relaxation of selective constraints causes independent selenoprotein extinction in insect genomes

BACKGROUND: Selenoproteins are a diverse family of proteins notable for the presence of the 21st amino acid, selenocysteine. Until very recently, all metazoan genomes investigated encoded selenoproteins, and these proteins had therefore been believed to be essential for animal life. Challenging this assumption, recent comparative analyses of insect genomes have revealed that some insect genomes appear to have lost selenoprotein genes. METHODOLOGY/PRINCIPAL FINDINGS: In this paper we investigate in detail the fate of selenoproteins, and that of selenoprotein factors, in all available arthropod genomes. We use a variety of in silico comparative genomics approaches to look for known selenoprotein genes and factors involved in selenoprotein biosynthesis. We have found that five insect species have completely lost the ability to encode selenoproteins and that selenoprotein loss in these species, although so far confined to the Endopterygota infraclass, cannot be attributed to a single evolutionary event, but rather to multiple, independent events. Loss of selenoproteins and selenoprotein factors is usually coupled to the deletion of the entire no-longer functional genomic region, rather than to sequence degradation and consequent pseudogenisation. Such dynamics of gene extinction are consistent with the high rate of genome rearrangements observed in Drosophila. We have also found that, while many selenoprotein factors are concomitantly lost with the selenoproteins, others are present and conserved in all investigated genomes, irrespective of whether they code for selenoproteins or not, suggesting that they are involved in additional, non-selenoprotein related functions. CONCLUSIONS/SIGNIFICANCE: Selenoproteins have been independently lost in several insect species, possibly as a consequence of the relaxation in insects of the selective constraints acting across metazoans to maintain selenoproteins. The dispensability of selenoproteins in insects may be related to the fundamental differences in antioxidant defense between these animals and other metazoans.

SGP-1: prediction and validation of homologous genes based on sequence alignments

Conventional methods of gene prediction rely on the recognition of DNA-sequence signals, the coding potential or the comparison of a genomic sequence with a cDNA, EST, or protein database. Reasons for limited accuracy in many circumstances are species-specific training and the incompleteness of reference databases. Lately, comparative genome analysis has attracted increasing attention. Several analysis tools that are based on human/mouse comparisons are already available. Here, we present a program for the prediction of protein-coding genes, termed SGP-1 (Syntenic Gene Prediction), which is based on the similarity of homologous genomic sequences. In contrast to most existing tools, the accuracy of SGP-1 depends little on species-specific properties such as codon usage or the nucleotide distribution. SGP-1 may therefore be applied to nonstandard model organisms in vertebrates as well as in plants, without the need for extensive parameter training. In addition to predicting genes in large-scale genomic sequences, the program may be useful to validate gene structure annotations from databases. To this end, SGP-1 output also contains comparisons between predicted and annotated gene structures in HTML format. The program can be accessed via a Web server at http://soft.ice.mpg.de/sgp-1. The source code, written in ANSI C, is available on request from the authors.

Structured RNAs in the ENCODE selected regions of the human genome

Functional RNA structures play an important role both in the context of noncoding RNA transcripts as well as regulatory elements in mRNAs. Here we present a computational study to detect functional RNA structures within the ENCODE regions of the human genome. Since structural RNAs in general lack characteristic signals in primary sequence, comparative approaches evaluating evolutionary conservation of structures are most promising. We have used three recently introduced programs based on either phylogenetic–stochastic context-free grammar (EvoFold) or energy directed folding (RNAz and AlifoldZ), yielding several thousand candidate structures (corresponding to ∼2.7% of the ENCODE regions). EvoFold has its highest sensitivity in highly conserved and relatively AU-rich regions, while RNAz favors slightly GC-rich regions, resulting in a relatively small overlap between methods. Comparison with the GENCODE annotation points to functional RNAs in all genomic contexts, with a slightly increased density in 3′-UTRs. While we estimate a significant false discovery rate of ∼50%–70% many of the predictions can be further substantiated by additional criteria: 248 loci are predicted by both RNAz and EvoFold, and an additional 239 RNAz or EvoFold predictions are supported by the (more stringent) AlifoldZ algorithm. Five hundred seventy RNAz structure predictions fall into regions that show signs of selection pressure also on the sequence level (i.e., conserved elements). More than 700 predictions overlap with noncoding transcripts detected by oligonucleotide tiling arrays. One hundred seventy-five selected candidates were tested by RT-PCR in six tissues, and expression could be verified in 43 cases (24.6%).

Comparative gene prediction in human and mouse

The completion of the sequencing of the mouse genome promises to help predict human genes with greater accuracy. While current ab initio gene prediction programs are remarkably sensitive (i.e., they predict at least a fragment of most genes), their specificity is often low, predicting a large number of false-positive genes in the human genome. Sequence conservation at the protein level with the mouse genome can help eliminate some of those false positives. Here we describe SGP2, a gene prediction program that combines ab initio gene prediction with TBLASTX searches between two genome sequences to provide both sensitive and specific gene predictions. The accuracy of SGP2 when used to predict genes by comparing the human and mouse genomes is assessed on a number of data sets, including single-gene data sets, the highly curated human chromosome 22 predictions, and entire genome predictions from ENSEMBL. Results indicate that SGP2 outperforms purely ab initio gene prediction methods. Results also indicate that SGP2 works about as well with 3x shotgun data as it does with fully assembled genomes. SGP2 provides a high enough specificity that its predictions can be experimentally verified at a reasonable cost. SGP2 was used to generate a complete set of gene predictions on both the human and mouse by comparing the genomes of these two species. Our results suggest that another few thousand human and mouse genes currently not in ENSEMBL are worth verifying experimentally.

Characterization and evolution of the novel gene family FAM90A in primates originated by multiple duplication and rearrangement events

Genomic plasticity of human chromosome 8p23.1 region is highly influenced by two groups of complex segmental duplications (SDs), termed REPD and REPP, that mediate different kinds of rearrangements. Part of the difficulty to explain the wide range of phenotypes associated with 8p23.1 rearrangements is that REPP and REPD are not yet well characterized, probably due to their polymorphic status. Here, we describe a novel primate-specific gene family, named FAM90A (family with sequence similarity 90), found within these SDs. According to the current human reference sequence assembly, the FAM90A family includes 24 members along 8p23.1 region plus a single member on chromosome 12p13.31, showing copy number variation (CNV) between individuals. These genes can be classified into subfamilies I and II, which differ in their upstream and 5′-untranslated region sequences, but both share the same open reading frame and are ubiquitously expressed. Sequence analysis and comparative fluorescence in situ hybridization studies showed that FAM90A subfamily II suffered a big expansion in the hominoid lineage, whereas subfamily I members were likely generated sometime around the divergence of orangutan and African great apes by a fusion process. In addition, the analysis of the Ka/Ks ratios provides evidence of functional constraint of some FAM90A genes in all species. The characterization of the FAM90A gene family contributes to a better understanding of the structural polymorphism of the human 8p23.1 region and constitutes a good example of how SDs, CNVs and rearrangements within themselves can promote the formation of new gene sequences with potential functional consequences.

Identifying protein-coding genes in genomic sequences

The vast majority of the biology of a newly sequenced genome is inferred from the set of encoded proteins. Predicting this set is therefore invariably the first step after the completion of the genome DNA sequence. Here we review the main computational pipelines used to generate the human reference protein-coding gene sets.

Comparative gene finding in chicken indicates that we are closing in on the set of multi-exonic widely-expressed human genes

The recent availability of the chicken genome sequence poses the question of whether there are human protein-coding genes conserved in chicken that are currently not included in the human gene catalog. Here, we show, using comparative gene finding followed by experimental verification of exon pairs by RT–PCR, that the addition to the multi-exonic subset of this catalog could be as little as 0.2%, suggesting that we may be closing in on the human gene set. Our protocol, however, has two shortcomings: (i) the bioinformatic screening of the predicted genes, applied to filter out false positives, cannot handle intronless genes; and (ii) the experimental verification could fail to identify expression at a specific developmental time. This highlights the importance of developing methods that could provide a reliable estimate of the number of these two types of genes.

A genomic analysis identifies a novel component in the genetic structure of sub-Saharan African populations

Studies of large sets of SNP data have proven to be a powerful tool in the analysis of the genetic structure of human populations. In this work, we analyze genotyping data for 2,841 SNPs in 12 Sub-Saharan African populations, including a previously unsampled region of south-eastern Africa (Mozambique). We show that robust results in a world-wide perspective can be obtained when analyzing only 1,000 SNPs. Our main results both confirm the results of previous studies, and show new and interesting features in Sub-Saharan African genetic complexity. There is a strong differentiation of Nilo-Saharans, much beyond what would be expected by geography. Hunter-gatherer populations (Khoisan and Pygmies) show a clear distinctiveness with very intrinsic Pygmy (and not only Khoisan) genetic features. Populations of the West Africa present an unexpected similarity among them, possibly the result of a population expansion. Finally, we find a strong differentiation of the south-eastern Bantu population from Mozambique, which suggests an assimilation of a pre-Bantu substrate by Bantu speakers in the region.

Global alcohol exposure estimates by country, territory and region for 2005--a contribution to the Comparative Risk Assessment for the 2010 Global Burden of Disease Study.

AIMS: This study aimed to estimate the prevalence of life-time abstainers, former drinkers and current drinkers, adult per-capita consumption of alcohol and pattern of drinking scores, by country and Global Burden of Disease region for 2005, and to forecast these indicators for 2010. DESIGN: Statistical modelling based on survey data and routine statistics. SETTING AND PARTICIPANTS: A total of 241 countries and territories. MEASUREMENTS: Per-capita consumption data were obtained with the help of the World Health Organization's Global Information System on Alcohol and Health. Drinking status data were obtained from Gender, Alcohol and Culture: An International Study, the STEPwise approach to Surveillance study, the World Health Survey/Multi-Country Study and other surveys. Consumption and drinking status data were triangulated to estimate alcohol consumption across multiple categories. FINDINGS: In 2005 adult per-capita annual consumption of alcohol was 6.1 litres, with 1.7 litres stemming from unrecorded consumption; 17.1 litres of alcohol were consumed per drinker, 45.8% of all adults were life-time abstainers, 13.6% were former drinkers and 40.6% were current drinkers. Life-time abstention was most prevalent in North Africa/Middle East and South Asia. Eastern Europe and Southern sub-Saharan Africa had the most detrimental pattern of drinking scores, while drinkers in Europe (Eastern and Central) and sub-Saharan Africa (Southern and West) consumed the most alcohol. CONCLUSIONS: Just over 40% of the world's adult population consumes alcohol and the average consumption per drinker is 17.1 litres per year. However, the prevalence of abstention, level of alcohol consumption and patterns of drinking vary widely across regions of the world.

Design and evaluation of a panel os single-nucleotide polymorphisms in microRNA genomic regions for association studies in human disease

MicroRNAs (miRNA) are recognized posttranscriptional gene repressors involved in the control of almost every biological process. Allelic variants in these regions may be an important source of phenotypic diversity and contribute to disease susceptibility. We analyzed the genomic organization of 325 human miRNAs (release 7.1, miRBase) to construct a panel of 768 single-nucleotide polymorphisms (SNPs) covering approximately 1 Mb of genomic DNA, including 131 isolated miRNAs (40%) and 194 miRNAs arranged in 48 miRNA clusters, as well as their 5-kb flanking regions. Of these miRNAs, 37% were inside known protein-coding genes, which were significantly associated with biological functions regarding neurological, psychological or nutritional disorders. SNP coverage analysis revealed a lower SNP density in miRNAs compared with the average of the genome, with only 24 SNPs located in the 325 miRNAs studied. Further genotyping of 340 unrelated Spanish individuals showed that more than half of the SNPs in miRNAs were either rare or monomorphic, in agreement with the reported selective constraint on human miRNAs. A comparison of the minor allele frequencies between Spanish and HapMap population samples confirmed the applicability of this SNP panel to the study of complex disorders among the Spanish population, and revealed two miRNA regions, hsa-mir-26a-2 in the CTDSP2 gene and hsa-mir-128-1 in the R3HDM1 gene, showing geographical allelic frequency variation among the four HapMap populations, probably because of differences in natural selection. The designed miRNA SNP panel could help to identify still hidden links between miRNAs and human disease.

Genetic and genomic analysis modeling of germline c-MYC overexpression and cancer susceptibility

Background: Germline genetic variation is associated with the differential expression of many human genes. The phenotypic effects of this type of variation may be important when considering susceptibility to common genetic diseases. Three regions at 8q24 have recently been identified to independently confer risk of prostate cancer. Variation at 8q24 has also recently been associated with risk of breast and colorectal cancer. However, none of the risk variants map at or relatively close to known genes, with c-MYC mapping a few hundred kilobases distally. Results: This study identifies cis-regulators of germline c-MYC expression in immortalized lymphocytes of HapMap individuals. Quantitative analysis of c-MYC expression in normal prostate tissues suggests an association between overexpression and variants in Region 1 of prostate cancer risk. Somatic c-MYC overexpression correlates with prostate cancer progression and more aggressive tumor forms, which was also a pathological variable associated with Region 1. Expression profiling analysis and modeling of transcriptional regulatory networks predicts a functional association between MYC and the prostate tumor suppressor KLF6. Analysis of MYC/Myc-driven cell transformation and tumorigenesis substantiates a model in which MYC overexpression promotes transformation by down-regulating KLF6. In this model, a feedback loop through E-cadherin down-regulation causes further transactivation of c-MYC.Conclusion: This study proposes that variation at putative 8q24 cis-regulator(s) of transcription can significantly alter germline c-MYC expression levels and, thus, contribute to prostate cancer susceptibility by down-regulating the prostate tumor suppressor KLF6 gene.