P721 Faecal microbiota analysis with body composition and nutritional habits simultaneously amongst Crohn’s disease patients
Bálint, A.(1);Bacsur, P.(1);Resál, T.(1);Jójárt, B.(2);Gyuris, Z.(3);Jaksa, G.(3);Pintér, L.(3);Takács, B.(4);Pál, S.(5);Gácser, A.(5);Szántó, K.J.(1);Rutka, M.(1);Bor, R.(1);Fábián, A.(1);Farkas, K.(1);Maléth, J.(2);Szepes, Z.(1);Molnár, T.(1);
(1)Szent-Györgyi Albert Medical School- University of Szeged, Department of Medicine, Szeged, Hungary;(2)Hungarian Academy of Science- University of Szeged, Momentum Epithelial Cell Signaling and Secretion Research Group, Szeged, Hungary;(3)Delta Bio 2000 Ltd., Delta Bio 2000 Ltd., Szeged, Hungary;(4)Hungarian Centre of Excellence of Molecular Medicine- University of Szeged, Mutagenesis and Carcinogenesis Research Group, Szeged, Hungary;(5)Hungarian Centre of Excellence of Molecular Medicine- University of Szeged, Pathogen Fungi Research Group, Szeged, Hungary;
Background
Changes in microbiome of the gut and decreased diversity in inflammatory bowel disease(IBD) is the subject of intense researches. The exact pathophysiological connection is lacking, but the systemic inflammation due to the microbial alterations are assumed. This study aimed to perform analysis of faecal microbiota composition simultaneously with body composition by bioelectrical impedance and nutrition habits in Crohn’s disease(CD) patients to find specific microbiota profiles connected with obesity, mesenterial fat, signs of systemic inflammation, nutritional and body composition characteristics.
Methods
In our prospective cohort study, CD patients were enrolled. At the inclusion, demographic and clinical data, blood, and faecal samples were obtained. Clinical disease activity was assessed by CDAI, and SES-CD. Laboratory tests were made including C-reactive protein(CRP), albumin and lipids (triglyceride, cholesterol). Faecal bacterial composition was assessed using shotgun metagenomics sequencing technique. Each patient underwent a body composition analysis via bioelectrical impedance analysis. A nutritional questionnaire was filled by each subject.
Results
Data of 27 CD patients with different localisation was analysed in this study (mean age was 35±11 years). According to the gut inflammation, some Blautia species correlated positively with SES-CD (p=0,004), and correlated with faecal calprotectin negatively (p=0,02), while Roseburia hominis negatively with CDAI scores(p=0,01). High CDAI scores were also associated with dysbiosis. Adlercreutzia equolifaciens and Blautia hansenii associated with triglyceride(negatively p=0,04, positively p=0,05). Firmicutes has a lower, while Bacteroidetes has a higher abundance at high cholesterol level(p=0,001, p=0,023). Lower Adlercreutzia and Lactobacillus abundance were seen in patients with high visceral fat area(p=0,05, p=0,01), while Clostridia correlated with percent body fat(p=0,025).Bifidobacterium bifidum were associated in people with low body weight or low skeletal muscle mass(p=0,01, p=0,03). Beside Clostridia, Eubacteriales also correlated with waist-hip ratio(p=0,04, p=0,04).
Conclusion
To our knowledge this is the first study to analyse microbiota profiles by shotgun sequencing technique in CD patients depending on body composition via bioelectrical impedance and nutrition. Changes in Blautia, Lactobacillus, Adlercreutzia, Roseburia and Bifidobacterium abundances in patients with CD and obesity highlight the importance of correlations between lipid metabolism, adipose tissue mass, and chronic inflammation. Through this, it helps to develop new therapeutic approaches, such as personalized pre- or probiotics or faecal microbiota transplantation.