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- Schluter, J., et al.
(författare)
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The gut microbiota is associated with immune cell dynamics in humans
- 2020
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Ingår i: Nature. - : Springer Science and Business Media LLC. - 0028-0836 .- 1476-4687. ; 588:7837, s. 303-307
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Tidskriftsartikel (refereegranskat)abstract
- Influence of the gut microbiome on the human immune system is revealed by systems analysis of vast clinical data from decades of electronic health records paired with massive longitudinal microbiome sequencing. The gut microbiota influences development(1-3) and homeostasis(4-7) of the mammalian immune system, and is associated with human inflammatory(8) and immune diseases(9,10) as well as responses to immunotherapy(11-14). Nevertheless, our understanding of how gut bacteria modulate the immune system remains limited, particularly in humans, where the difficulty of direct experimentation makes inference challenging. Here we study hundreds of hospitalized-and closely monitored-patients with cancer receiving haematopoietic cell transplantation as they recover from chemotherapy and stem-cell engraftment. This aggressive treatment causes large shifts in both circulatory immune cell and microbiota populations, enabling the relationships between the two to be studied simultaneously. Analysis of observed daily changes in circulating neutrophil, lymphocyte and monocyte counts and more than 10,000 longitudinal microbiota samples revealed consistent associations between gut bacteria and immune cell dynamics. High-resolution clinical metadata and Bayesian inference allowed us to compare the effects of bacterial genera in relation to those of immunomodulatory medications, revealing a considerable influence of the gut microbiota-together and over time-on systemic immune cell dynamics. Our analysis establishes and quantifies the link between the gut microbiota and the human immune system, with implications for microbiota-driven modulation of immunity.
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- Solanes, A, et al.
(författare)
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Combining MRI and clinical data to detect high relapse risk after the first episode of psychosis
- 2022
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Ingår i: Schizophrenia (Heidelberg, Germany). - : Springer Science and Business Media LLC. - 2754-6993. ; 8:1, s. 100-
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Tidskriftsartikel (refereegranskat)abstract
- Detecting patients at high relapse risk after the first episode of psychosis (HRR-FEP) could help the clinician adjust the preventive treatment. To develop a tool to detect patients at HRR using their baseline clinical and structural MRI, we followed 227 patients with FEP for 18–24 months and applied MRIPredict. We previously optimized the MRI-based machine-learning parameters (combining unmodulated and modulated gray and white matter and using voxel-based ensemble) in two independent datasets. Patients estimated to be at HRR-FEP showed a substantially increased risk of relapse (hazard ratio = 4.58, P < 0.05). Accuracy was poorer when we only used clinical or MRI data. We thus show the potential of combining clinical and MRI data to detect which individuals are more likely to relapse, who may benefit from increased frequency of visits, and which are unlikely, who may be currently receiving unnecessary prophylactic treatments. We also provide an updated version of the MRIPredict software.
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