In order to know the genetic diversity of Blastocystis hominis from a health district of Valencia (Spain) 51 clinical isolates from symptomatic patients, 31 axenic and 20 monoxenic, were ribotyped by analysing the restriction fragment length polymorphism (RFLP) of amplicons obtained by polymerase chain reaction (PCR) of small-subunit of ribosomal DNA genes (SSU-rDNA). For this purpose, DNA was subjected to two independent PCR (RD3-RD5, F1-R1) and to three independent treatments with restrictases (AluI, HinfI and RsaI). The digested DNA was separated electrophoretically, the isolates were clustered into ribotypes (ribodemes, RD3-RD5; subgroups, F1-R1) according to their profiles and the results were translated into genetic subtypes (ST) proposed by a consensus terminology. The results show that the isolates studied are an heterogeneous population and that both PCR-RFLP SSU-rDNA protocols have a similar discriminative power, since it allowed the ribotyping of all isolates and their clustering into four demes: ribodemes 1, 3 and 3-r and 6, which include isolates belonging to subgroup III, IV, V and V-r, respectively; which were assigned to ST1 (2%), ST2 (3.9%) and ST4 (94.1%). The most common of which is a zoonotic subtype (Blastocystis ratti) which includes, according to recent studies, non-pathogenic and pathogenic variants.

BackgroundWhole genome sequencing provides better delineation of transmission clusters in Mycobacterium tuberculosis than traditional methods. However, its ability to reveal individual transmission links within clusters is limited. Here, we used a 2-step approach based on Bayesian transmission reconstruction to (1) identify likely index and missing cases, (2) determine risk factors associated with transmitters, and (3) estimate when transmission happened.Methods and findingsWe developed our transmission reconstruction method using genomic and epidemiological data from a population-based study from Valencia Region, Spain. Tuberculosis (TB) incidence during the study period was 8.4 cases per 100,000 people. While the study is ongoing, the sampling frame for this work includes notified TB cases between 1 January 2014 and 31 December 2016. We identified a total of 21 transmission clusters that fulfilled the criteria for analysis. These contained a total of 117 individuals diagnosed with active TB (109 with epidemiological data). Demographic characteristics of the study population were as follows: 80/109 (73%) individuals were Spanish-born, 76/109 (70%) individuals were men, and the mean age was 42.51 years (SD 18.46). We found that 66/109 (61%) TB patients were sputum positive at diagnosis, and 10/109 (9%) were HIV positive. We used the data to reveal individual transmission links, and to identify index cases, missing cases, likely transmitters, and associated transmission risk factors. Our Bayesian inference approach suggests that at least 60% of index cases are likely misidentified by local public health. Our data also suggest that factors associated with likely transmitters are different to those of simply being in a transmission cluster, highlighting the importance of differentiating between these 2 phenomena. Our data suggest that type 2 diabetes mellitus is a risk factor associated with being a transmitter (odds ratio 0.19 [95% CI 0.02–1.10], p < 0.003). Finally, we used the most likely timing for transmission events to study when TB transmission occurred; we identified that 5/14 (35.7%) cases likely transmitted TB well before symptom onset, and these were largely sputum negative at diagnosis. Limited within-cluster diversity does not allow us to extrapolate our findings to the whole TB population in Valencia Region.ConclusionsIn this study, we found that index cases are often misidentified, with downstream consequences for epidemiological investigations because likely transmitters can be missed. Our findings regarding inferred transmission timing suggest that TB transmission can occur before patient symptom onset, suggesting also that TB transmits during sub-clinical disease. This result has direct implications for diagnosing TB and reducing transmission. Overall, we show that a transition to individual-based genomic epidemiology will likely close some of the knowledge gaps in TB transmission and may redirect efforts towards cost-effective contact investigations for improved TB control.

A year long multicentre prospective study was carried out in the Valencia region of Spain, to determine the cause of community acquired pneumonia. The study was based on 510 of 833 patients with pneumonia. Of these, 462 were admitted to hospital, where 31 patients died. A cause was established in only 281 cases-208 of bacterial, 60 of viral, and 13 of mixed infection. The most common microorganisms were Streptococcus pneumoniae (14-5%), Legionella sp (14%), Influenza virus (8%), and Mycoplasma pneumoniae (4%). There was a higher incidence of Legionella sp than in other studies.