| 1. |
- Grännö, O., et al.
(författare)
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Preclinical protein signatures in blood predict Crohn's disease and Ulcerative colitis several years before the diagnosis
- 2024
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Ingår i: Journal of Crohn's & Colitis. - : Oxford University Press. - 1873-9946 .- 1876-4479. ; 18:Suppl. 1, s. I660-I661
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- Background: We aimed to identify protein signatures predictive of a future diagnosis of inflammatory bowel disease (IBD).Methods: We conducted a case-control study, nested within large population-based cohorts with biorepositories. Samples were obtained from individuals who later in life were diagnosed with IBD (preclinical cases) and compared with age and sex-matched individuals who remained free from IBD during follow-up (controls). Using proximity extension assays (Olink, Uppsala), we measured 176 proteins. We applied regularized logistic regression to identify protein signatures of preclinical disease in serum from the discovery cohort (n=312). Their performance was validated in an external preclinical cohort (n=222). The biological relevance of identified proteins was further assessed in an inception cohort (n=144). Finally, we used an IBD twin cohort (n=327) to examine the impact of genetic and shared environmental factors on identified proteins.Results: We identified 34 proteins associated with preclinical Crohn’s disease (CD) in the discovery cohort (Pfalse discovery rate <0.10), with 9 confirmed in the validation cohort (Pfalse discovery rate <0.05). For preclinical ulcerative colitis (UC), 45 proteins were identified and 12 validated (Fig. 1A-B). In the discovery cohort, a signature of 29 proteins differentiated preclinical CD cases from controls with an AUC of 0.85 (Fig. 1G). Its performance was confirmed when applied to the preclinical validation cohort (AUC=0.84, Fig. 1H). Moreover, the signature had excellent capacity to differentiate newly diagnosed CD from healthy controls in the inception cohort (AUC = 0.99, Fig. 1I). The preclinical UC signature had a significant, but albeit lower, predictive capacity in the discovery (AUC=0.77), validation (AUC=0.67) and inception cohort (AUC=0.90, Fig. 1G-I).15 of 17 proteins associated with preclinical IBD demonstrated significantly higher intra-pair correlation coefficients in healthy monozygotic- compared to dizygotic twin pairs, indicating an influence from genetic factors on the regulation of these protein markers. The preclinical signature for CD demonstrated an AUC of 0.87 when comparing twins with preclinical CD (n=10) to matched external healthy twins. However, its predictive capacity was lower when comparing preclinical CD twins with their healthy twin siblings (AUC=0.58), i.e., when accounting for genetic and shared environmental factors. The difference in AUC estimates in the twin cohort was not significant (P=0.07).
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| 2. |
- Rode, Julia, 1992-, et al.
(författare)
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Probiotic Mixture Containing Lactobacillus helveticus, Bifidobacterium longum and Lactiplantibacillus plantarum Affects Brain Responses Toward an Emotional Task in Healthy Subjects : A Randomized Clinical Trial
- 2022
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Ingår i: Frontiers in nutrition. - : Frontiers Media S.A.. - 2296-861X. ; 9
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Tidskriftsartikel (refereegranskat)abstract
- Background: Evidence from preclinical studies suggests that probiotics affect brain function via the microbiome-gut-brain axis, but evidence in humans remains limited.Objective: The present proof-of-concept study investigated if a probiotic product containing a mixture of Bifidobacterium longum R0175, Lactobacillus helveticus R0052 and Lactiplantibacillus plantarum R1012 (in total 3 × 109 CFU/day) affected functional brain responses in healthy subjects during an emotional attention task.Design: In this double-blinded, randomized, placebo-controlled crossover study (Clinicaltrials.gov, NCT03615651), 22 healthy subjects (24.2 ± 3.4 years, 6 males/16 females) were exposed to a probiotic intervention and a placebo for 4 weeks each, separated by a 4-week washout period. Subjects underwent functional magnetic resonance imaging while performing an emotional attention task after each intervention period. Differential brain activity and functional connectivity were assessed.Results: Altered brain responses were observed in brain regions implicated in emotional, cognitive and face processing. Increased activation in the orbitofrontal cortex, a region that receives extensive sensory input and in turn projects to regions implicated in emotional processing, was found after probiotic intervention compared to placebo using a cluster-based analysis of functionally defined areas. Significantly reduced task-related functional connectivity was observed after the probiotic intervention compared to placebo. Fecal microbiota composition was not majorly affected by probiotic intervention.Conclusion: The probiotic intervention resulted in subtly altered brain activity and functional connectivity in healthy subjects performing an emotional task without major effects on the fecal microbiota composition. This indicates that the probiotic effects occurred via microbe-host interactions on other levels. Further analysis of signaling molecules could give possible insights into the modes of action of the probiotic intervention on the gut-brain axis in general and brain function specifically. The presented findings further support the growing consensus that probiotic supplementation influences brain function and emotional regulation, even in healthy subjects. Future studies including patients with altered emotional processing, such as anxiety or depression symptoms are of great interest.Clinical Trial Registration: [http://clinicaltrials.gov/], identifier [NCT03615651].
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| 3. |
- Salomon, Benita, 1993-, et al.
(författare)
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Prognostic potential of mucosal proteins in Ulcerative Colitis
- 2024
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Ingår i: Journal of Crohn's & Colitis. - : Oxford University Press. - 1873-9946 .- 1876-4479. ; 18:Suppl. 1, s. I544-I545
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- Background: Better prognostic measures for ulcerative colitis (UC) could significantly advance patient care. While the prognostic capacity of circulating proteins in UC has been explored, the role of mucosal proteins remains largely unknown. We examined mucosal protein markers in patients with incident ulcerative colitis and evaluated their prognostic value.Methods: Biopsies from macroscopically inflamed colonic/rectal mucosa of adult patients in the Swedish inception cohort of IBD (SIC IBD) were obtained at diagnosis of UC. Patients were followed prospectively, and clinical data were recorded after 3 and 12 months. Disease course was categorised as indolent or aggressive at 12 months, based on a composite outcome of colectomy, hospital admission for active disease, treatment refractoriness towards ≥2 biological agents; the use of >2 courses of corticosteroids, or a cumulative dose of >2.5 g. Relative estimates of 162 protein markers were assessed in homogenised tissue supernatants, using proximity extension assay technology (Olink Proteomics, Uppsala, Inflammation and Oncology II panel). Mann-Whitney U test, with Benjamini-Hochberg correction was used to identify differentially regulated mucosal proteins in aggressive vs indolent disease course, with a 5% false discovery rate (FDR). Smoothly clipped absolute deviation regularised logistic regression models were used to identify prognostic signatures distinguishing aggressive from indolent disease course. Performance was estimated in a leave-one-out cross-validation and reported as the area under the receiver operating characteristic (ROC) curve (AUC).Results: 117 patients provided a macroscopically inflamed colonic/rectal biopsy at diagnosis of UC. Basic demographics and clinical characteristics are presented in Table 1. Relative protein levels of WFdc2 and CCL20 were significantly lower in lysates from patients developing an aggressive course vs patients developing an indolent course, while estimates of MMP1, CCL11, WISP-1, OPG, RSPO3 and VEGFR2 were higher (Figure 1A). Regularized logistic regression identified signatures restricted to 28 proteins, distinguishing aggressive from indolent UC courses, yielding an AUC of 0.68 (95% confidence interval (CI): 0.56-0.80) for left-out samples (Figure 1B). Incorporating extent of inflammation at diagnosis in the model improved the AUC to 0.71 (95% CI: 0.60-0.83).Conclusion: We identified prognostic mucosal protein signatures associated with future course of ulcerative colitis by analysing inflamed mucosal biopsies that were obtained at diagnosis. These protein markers may highlight pathways of relevance for ulcerative colitis outcomes.
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| 4. |
- Salomon, Benita, 1993-, et al.
(författare)
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The serum protein profile across the IBD spectrum : Results from the COLLIBRI consortium
- 2024
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Ingår i: Journal of Crohn's & Colitis. - : Oxford University Press. - 1873-9946 .- 1876-4479. ; 18:Suppl. 1, s. I674-I676
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- Background: Inflammatory bowel disease (IBD) is a heterogeneous disorder. Both subtypes, i.e., Crohn’s disease (CD) and ulcerative colitis (UC), differ in disease behaviour and inflamed gastrointestinal segments. Despite this, randomized controlled trials stratify patients based on CD and UC. Molecular characterization could uncover subtype-specific differences that could guide treatment and thereby overcome current therapeutic limitations. Therefore, we aimed to examine differences in serum inflammatory protein profiles across the IBD spectrum.Methods: This was a cross-sectional multicentre study of adult patients (≥18 years) with IBD from one Belgian and eight Swedish hospitals in the COLLIBRI consortium. IBD diagnosis and classification was based on international criteria, according to the Montreal classification. Relative serum protein levels were assessed using proximity extension assay technology (Olink Proteomics, Uppsala, Sweden; inflammation panel). We adopted smoothly clipped absolute deviation penalized logistic regression models to discriminate CD and UC patients. Using fitted CD vs UC logistic models, we estimated probability scores of CD vs UC for each patient based on their serum protein profiles. Scores ranged from 0 to 1, where lower scores indicated a higher molecular resemblance to UC. We evaluated the performance using leave-one-out cross-validation and the area under the curve (AUC).Results: Relative levels of 86 serum inflammatory proteins were available from 1,551 patients with IBD (CD, N=883; UC, N=639 and IBD-U, N=29) (Table 1). CD vs UC probability scores based on protein estimates for patients with UC, IBDU and different CD phenotypes (ileal CD, L1; colonic CD, L2; ileocolonic CD L3) are shown in Figure 1A. We observed a spectrum of IBD patients based on their CD vs CD probability scores with most pronounced differences between ileal CD and UC. Probability scores also differed significantly between colonic CD and ileal CD, but not between ileal and ileocolonic CD. The model performance to discriminate CD and UC yielded an AUC of 0.75. Restricting the samples to only one CD phenotype vs UC respectively resulted in the highest AUC for ileal CD (0.81), followed by ileocolonic CD (0.75) and colonic CD (0.65). Key proteins in the CD vs. UC model with higher protein estimates in UC were IL-17A, MMP10, FGF19. Contrary, CSF1, and SLAMF1, were higher in CD (Figure 1B).Conclusion: Our results on inflammation related serum proteins advocate for a more nuanced classification of CD into ileal-predominant and colonic-predominant subtypes. Such stratification could advance our understanding of IBD pathophysiology and may provide guidance for future therapeutic approaches.
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| 5. |
- Sudhakar, P., et al.
(författare)
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Biomarkers for IBD using OLINK Proteomics inflammation panel : Preliminary results from the COLLIBRI consortium
- 2022
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Ingår i: Journal of Crohn's & Colitis. - : Oxford University Press. - 1873-9946 .- 1876-4479. ; 16:Suppl. 1, s. I123-I124
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- Background: Circulating serum proteins have provided insights into disease pathogenesis and are being used to identify prognostic, diagnostic and therapeutic biomarkers for chronic inflammatory diseases. With this pilot project, the Collaborative IBD Biomarker Research Initiative (COLLIBRI) consortium aimed to unravel disease heterogeneity in inflammatory bowel disease (IBD).Methods: Serum samples were cross-sectionally obtained from 3,390 indi -viduals (Crohn’s disease (CD), n=1815; ulcerative colitis (UC), n=1170;healthy, n=405) recruited at nine centres from Sweden and Belgium. Relative levels of 92 proteins were analysed using the Proseek Multiplex Inflammation I Probe kit 96x96 (Olink Proteomics, Uppsala, Sweden) and reported as arbitrary units, i.e., normalised protein expression on a log2 scale. Using a multivariate integrative approach, we identified protein signatures distinguishing CD and UC samples and attempted to identify clusters or subgroups within patients. Recruiting centre, cohort and batch information were considered for the integrative analysis. Optimisation was performed for identifying the number of components and features per component using 5-fold cross-validation and Leave-One-Group-Out-Cross-Validation, respectively. Information on transcriptional regulators was retrieved from the ReMap project using the orthogonal regulatory resource ChEA3.Results: A panel of 8 proteins was identified which could segregate CD and UC patients (Figure 1). FGF19 exhibited a consistent trend of expression (downregulated in CD) across all batches of datasets. An integrated AUC of 72.5% was achieved across the different batches of samples used in the study with the highest AUC (79.2%, P-value 8.5e-07) being recorded for a single batch of samples (CD = 42, UC = 56). On a centre-specific dataset, the cross-centre integrated signature achieved an AUC of 75.1%. We identified three transcription factors (MEF2A, BATF, NFKB2), of which the two latter ones are known to modulate intestinal inflammation and which could potentially regulate the expression of at least half of the genes encoding the proteins in the predictive 8-protein panel.Conclusion: We identified an integrated proteomic biomarker panel capable of separating CD and UC patients. Through further integration of confounder variables along with using other supervised and unsupervised approaches, subsequent analyses may further refine the molecul arheterogeneity among CD and UC patients. Our results demonstrate the need for large datasets to identify relevant clusters of patients with IBD, since the diagnosis exhibits a high degree of clinical heterogeneity.
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