{\it Helicobacter pylori\/}: An infectious consideration when screening patients with complaints of dyspepsia

Historically, abdominal complaints have been generally dealt with palliatively. Seldom were underlying causes given consideration. However, in 1982 (Warren & Marshall, 1983), the identification of the bacterial agent Helicobacter pylori (known hereafter in this paper as H. pylori) as a potential link between gastrointestinal complaints such as gastric and duodenal ulcers, Crohn's Disease, and some forms of gastric cancer has given rise for concern. In 1994, the National Institute for Health recommended that patients with complaints of dyspepsia be studied for the occurrence of H. pylori. This study proposes to study the occurrence of H. pylori in patients who complain with dyspepsia with a relatively non invasive screening technique to be done in an office setting. The study findings were considered signifcant if p $\le$.05. This study indicated that 49% of patients with complaints of dyspepsia were postive for H. pylori infection with p =.000. ^

Serial evolutionary networks of within-patient HIV-1 sequences reveal patterns of evolution of X4 strains

Background The HIV virus is known for its ability to exploit numerous genetic and evolutionary mechanisms to ensure its proliferation, among them, high replication, mutation and recombination rates. Sliding MinPD, a recently introduced computational method [1], was used to investigate the patterns of evolution of serially-sampled HIV-1 sequence data from eight patients with a special focus on the emergence of X4 strains. Unlike other phylogenetic methods, Sliding MinPD combines distance-based inference with a nonparametric bootstrap procedure and automated recombination detection to reconstruct the evolutionary history of longitudinal sequence data. We present serial evolutionary networks as a longitudinal representation of the mutational pathways of a viral population in a within-host environment. The longitudinal representation of the evolutionary networks was complemented with charts of clinical markers to facilitate correlation analysis between pertinent clinical information and the evolutionary relationships. Results Analysis based on the predicted networks suggests the following:: significantly stronger recombination signals (p = 0.003) for the inferred ancestors of the X4 strains, recombination events between different lineages and recombination events between putative reservoir virus and those from a later population, an early star-like topology observed for four of the patients who died of AIDS. A significantly higher number of recombinants were predicted at sampling points that corresponded to peaks in the viral load levels (p = 0.0042). Conclusion Our results indicate that serial evolutionary networks of HIV sequences enable systematic statistical analysis of the implicit relations embedded in the topology of the structure and can greatly facilitate identification of patterns of evolution that can lead to specific hypotheses and new insights. The conclusions of applying our method to empirical HIV data support the conventional wisdom of the new generation HIV treatments, that in order to keep the virus in check, viral loads need to be suppressed to almost undetectable levels.