Alterations and clinical relevance of gut microbiota in patients with Peutz-Jeghers syndrome: A prospective study.

OBJECTIVE: In this case-control study we aimed to investigate the intestinal microbiota profile of patients with Peutz-Jeghers syndrome (PJS) and its association with polyp growth. METHODS: Thirty-two PJS patients and 35 healthy controls were enrolled. Fecal samples of all participants were collected for gut microbiota analysis via 16S rRNA gene (regions V3-V4) sequencing. SPSS version 22.0 and R software version 3.1.0 were used for the statistical analysis. RESULTS: The richness was comparable, while the overall structure of the gut microbiota differed significantly between the PJS and control groups (weighted UniFrac, P = 0.001; unweighted UniFrac, P = 0.008). Significantly different abundances of two phyla, seven families, and 18 genera as well as twenty-nine differentially enriched functional modules (false discovery rate, P < 0.05) between the two groups were identified. Morganella was positively associated with the median number of polyps (JPN; r = 0.96, P < 0.001) and number of newly discovered polyps in the jejunum between two recent endoscopic resections (JPNG; r = 0.78, P = 0.04). Desulfovibrio was positively associated with JPNG (r = 0.87, P = 0.01). Blautia was negatively associated with the median maximum size of polyps in the jejunum (JPS). Anaerostipes was negatively associated with JPN, JPNG and JPS. Clostridium XVIII and Fusicatenibacter were negatively associated with JPN and JPS, respectively. CONCLUSIONS: We found remarkably different gut microbiota of patients with PJS compared to healthy individuals and associations between specific fecal bacteria and clinical features of PJS. These findings may provide a new perspective for the management of PJS in clinical practice.

Spatio-temporal distribution of malaria in Yunnan Province, China.

The spatio-temporal distribution pattern of malaria in Yunnan Province, China was studied using a geographic information system technique. Both descriptive and temporal scan statistics revealed seasonal fluctuation in malaria incidences in Yunnan Province with only one peak during 1995-2000, and two apparent peaks from 2001 to 2005. Spatial autocorrelation analysis indicated that malaria incidence was not randomly distributed in the province. Further analysis using spatial scan statistics discovered that the high risk areas were mainly clustered at the bordering areas with Myanmar and Laos, and in Yuanjiang River Basin. There were obvious associations between Plasmodium vivax and Plasmodoium falciparum malaria incidences and climatic factors with a clear 1-month lagged effect, especially in cluster areas. All these could provide information on where and when malaria prevention and control measures would be applied. These findings imply that countermeasures should target high risk areas at suitable times, when climatic factors facilitate the transmission of malaria.