Culture-independent analyses of temporal variation of the dominant fecal microbiota and targeted bacterial subgroups in Crohn's disease

Gut microbiota shows host-specific diversity and temporal stability and significantly contributes to maintenance of a healthy gut. However, in inflammatory bowel disease, this microbiota has been implicated as a contributory factor to the illness. This study compared bacterial dynamics in Crohn's disease patients to those in a control group using a culture-independent method to assess the temporal stability, relative diversity, and similarity of the dominant fecal microbiota, Clostridium spp., Bacteroides spp., Bifidobacterium spp., and lactic acid bacteria spp. (LAB) for all individuals. Fecal samples were collected over several time points from individuals with Crohn's disease who were in remission (n = 11), from Crohn's disease patients who relapsed into an active Crohn's disease state (n = 5), and from a control group (n = 18). Denaturing gradient gel electrophoresis profiles were generated for the different microbial groups by specifically targeting different regions of the 16S rRNA gene and were compared on the basis of similarity and diversity. The temporal stability of dominant species for all Crohn's disease patients was significantly lower (P < 0.005) than that for the control group. Analysis of group-specific profiles for Bifidobacterium spp. found that they were similar in all samples, while the diversity of the LAB varied significantly between the groups, but temporal stability was not significantly altered. We observed significant changes in two functionally important mutualistic groups of bacteria, viz., Clostridium and Bacteroides spp., which may have implications for the host's gut health, since some genera are involved in production of short-chain fatty acid, e.g., butyrate.     

Epidemiological investigation on a suggestive case of Legionella pneumonia and public health implications

We report a case of Legionella pneumonia in a patient with psoriasis. The clinical strain had an identical PFGE pattern of 1 subtype of L. pneumophila serogroup 1 isolated at low concentration in a sporting club bath. Diagnostic, clinical and epidemiological aspects are discussed for their relevant public health implications.     

Personality disorders and response to medication treatment in panic disorder: a 1-year naturalistic study

OBJECTIVE: In this naturalistic and prospective study, personality was assessed in patients with panic disorder (PD), in order to evaluate whether personality features negatively influence the outcome of pharmacological treatment. METHOD: Before drug treatment, PD was diagnosed with the Structured Clinical Interview for DSM-IV disorders and personality was assessed with the Structured Interview for DSM-IV Personality Disorders. Moreover, all patients were evaluated with the SCL-90, the Ham-A and Ham-D. Then, patients were randomly treated with paroxetine (33.5+/-13.3 mg/day) or citalopram (34.7+/-15.2 mg/day) and were followed at monthly intervals for 1 year. Absence of full and limited-symptom attacks, anticipatory anxiety, phobic avoidance and depression for 3 months was used to establish remission. The effect of personality traits on each symptom domain was evaluated. RESULTS: Seventy-one patients completed the study. Remission rate was 76% for panic attacks and 46% for complete remission. When the effects of age, gender, age of onset and duration of PD, baseline SCL-90 phobic anxiety, Ham-A and Ham-D scores, Axis I comorbidity and the SIDP traits on remission were analyzed in a logistic regression, only borderline traits negatively influenced remission of panic attacks (OR=0.69; 95% CI=0.49-0.96; p=0.03), whereas the number of traits of each personality Cluster and the total number of SIDP traits did not affect the outcome of treatment. CONCLUSIONS: This study suggests that in PD patients, borderline features may negatively influence the response to monotherapy with SSRI drugs; therefore, other treatment strategies (i.e., combination of SSRI with psychotherapy) are needed to obtain remission in these patients.     

Emergency ambulance dispatches and apparent temperature: a time series analysis in Emilia-Romagna, Italy

IntroductionIncreases in mortality associated with oppressive weather have been widely investigated in several epidemiological studies. However, to properly understand the full public health significance of heat-related health effects, as well as to develop an effective surveillance system, it is also important to investigate the impact of stressful meteorological conditions on non-fatal events. The objective of our study was to evaluate the exposure–response relationship of ambulance dispatch data in association with biometeorological conditions using time series techniques similar to those used in previous studies on mortality.MethodsDaily data of emergency ambulance dispatches for people aged 35 or older in the summer periods from 2002 to 2006 were collected for the major towns in the Emilia–Romagna region. In the first stage of the analysis, the city-specific relationship between daily ambulance dispatches and increasing apparent temperature was explored using Generalized Additive Models while controlling for air pollution, seasonality, long-term trend, holidays and weekends. The relationship between ambulance dispatches and apparent temperature was approximated by linear splines. The effects of high temperatures on health were evaluated for respiratory and cardiovascular diseases as well as for all non-traumatic conditions. In the second stage of the analysis, city-specific effects were combined in fixed or random effect meta-analyses.ResultsThe percent change in the ambulance dispatches associated with every 1 °C increase in the mean apparent temperature between 25 and 30 °C was 1.45% (95% confidence interval: 0.95, 1.95) for non-traumatic diseases and 2.74% (95% CI: 1.34, 4.14) for respiratory diseases. The percent increase in risk was greater on days in which the mean apparent temperature exceeded 30 °C (8.85%, 95% CI: 7.12, 10.58 for non-traumatic diseases). In this interval of biometeorological conditions, cardiovascular diseases became positively associated with the apparent temperature. The risks increased with age. The increase in risk for the non-traumatic diseases reached 13.34% for people aged 75 or older compared to 4.75% for those aged 35–64.ConclusionTime series analysis techniques were adopted for the first time to investigate emergency ambulance dispatches to evaluate the risks associated with biometeorological discomfort. Our findings show a strong relationship between biometeorological conditions and ambulance dispatches.