| 1. |
- Girdhar, Khyati, et al.
(author)
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Dynamics of the gut microbiome, IgA response, and plasma metabolome in the development of pediatric celiac disease
- 2023
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In: Microbiome. - : BMC. - 2049-2618. ; 11:1
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Journal article (peer-reviewed)abstract
- Background Celiac disease (CD) is an autoimmune disorder triggered by gluten consumption. Almost all CD patients possess human leukocyte antigen (HLA) DQ2/DQ8 haplotypes; however, only a small subset of individuals carrying these alleles develop CD, indicating the role of environmental factors in CD pathogenesis. The main objective of this study was to determine the contributory role of gut microbiota and microbial metabolites in CD onset. To this end, we obtained fecal samples from a prospective cohort study (ABIS) at ages 2.5 and 5 years. Samples were collected from children who developed CD after the final sample collection (CD progressors) and healthy children matched by age, HLA genotype, breastfeeding duration, and gluten-exposure time (n=15-16). We first used 16S sequencing and immunoglobulin-A sequencing (IgA-seq) using fecal samples obtained from the same children (i) 16 controls and 15 CD progressors at age 2.5 and (ii) 13 controls and 9 CD progressors at age 5. We completed the cytokine profiling, and plasma metabolomics using plasma samples obtained at age 5 (n=7-9). We also determined the effects of one microbiota-derived metabolite, taurodeoxycholic acid (TDCA), on the small intestines and immune cell composition in vivo.Results CD progressors have a distinct gut microbiota composition, an increased IgA response, and unique IgA targets compared to healthy subjects. Notably, 26 plasma metabolites, five cytokines, and one chemokine were significantly altered in CD progressors at age 5. Among 26 metabolites, we identified a 2-fold increase in TDCA. TDCA treatment alone caused villous atrophy, increased CD4+ T cells, Natural Killer cells, and two important immunoregulatory proteins, Qa-1 and NKG2D expression on T cells while decreasing T-regulatory cells in intraepithelial lymphocytes (IELs) in C57BL/6J mice.Conclusions Pediatric CD progressors have a distinct gut microbiota composition, plasma metabolome, and cytokine profile before diagnosis. Furthermore, CD progressors have more IgA-coated bacteria and unique targets of IgA in their gut microbiota. TDCA feeding alone stimulates an inflammatory immune response in the small intestines of C57BJ/6 mice and causes villous atrophy, the hallmark of CD. Thus, a microbiota-derived metabolite, TDCA, enriched in CD progressors plasma, has the potential to drive inflammation in the small intestines and enhance CD pathogenesis.
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| 2. |
- Saduaskaite-Kühne, Vaiva, 1970-, et al.
(author)
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Inheritance of MHC class II genes in lithuanian families with type 1 diabetes
- 2003
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In: IMMUNOLOGY OF DIABETES II: PATHOGENESIS FROM MOUSE TO MAN. - : New York Academy of Sciences. - 1573314609 ; 1005, s. 295-300
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Conference paper (peer-reviewed)abstract
- Type 1 diabetes mellitus (DM) is caused by genetic and environmental factors. Twice as many fathers as mothers of children with type 1 DM have the disease. The reason for the differences remains unclear. We looked at the transmission rates of diabetes-related alleles from parents to children with diabetes. All children with newly diagnosed type 1 DM from August 1, 1996 to August 1, 2000, aged 0 to 15 years, in Lithuania were invited to participate. Blood samples for full genetic analysis were available from 125 families. HLA DQA1, DQB1, and DRB1 typing was done on DNA extracted from peripheral blood, by polymerase chain reaction amplification, manual dot-blotting onto nylon membranes, synthetic sequence-specific oligonucleotide probe 3′-end labeling with 32P-dCTP, and hybridization, followed by stringency washes, autoradiography, and allele calling. Frequency of diabetes risk-related alleles DQB1*0302, DQA1*0201, DR4, and DR3 was less prevalent among Lithuanian than among Swedish children with type 1 DM. Transmission rates of DR4-DQB1*0302-DQA1*0301 and DR3-DQB1*0201-DQA1*0501 haplotypes from parents were higher than expected: χ2 (TDT) 30.56, p < 0.0001, and χ2 (TDT) 11.26, p= 0.0008, respectively. DQB1*0302 and DR4 were significantly more frequently transmitted from both parents, but DR3 was transmitted more frequently only from mothers. Any of these alleles had similar frequencies among female and male offspring. We conclude that, besides DR4-DQB1*0302-DQA1*0301 and DR3-DQB1*0201-DQA1*0501, there are other inherited alleles that determine risk for type 1 DM among children in Lithuania. Fathers might transfer other alleles of disease susceptibility in higher frequency or mothers might provide a protective environment during pregnancy, which results in higher risk to offspring of fathers than mothers to develop diabetes.
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| 3. |
- Wegmann, Bertil, 1978-, et al.
(author)
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Identification of potentially relevant metals for the etiology of autism by using a Bayesian multivariate approach for partially censored values
- 2023
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In: Scientific Reports. - : NATURE PORTFOLIO. - 2045-2322. ; 13:1
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Journal article (peer-reviewed)abstract
- Heavy metals are known to be able to cross the placental and blood brain barriers to affect critical neurodevelopmental processes in the fetus. We measured metal levels (Al, Cd, Hg, Li, Pb and Zn) in the cord blood of newborns and in the serum of the same children at 5 years of age, and compared between individuals with or without (controls) autism spectrum disorder (ASD) diagnosis. The samples were from a biobank associated with the All Babies in Southeast Sweden (ABIS) registry. We proposed a Bayesian multivariate log-normal model for partially censored values to identify potentially relevant metals for the etiology of ASD. Our results in cord blood suggest prenatal Al levels could be indicative of later ASD incidence, which could also be related to an increased possibility of a high, potentially toxic, exposure to Al and Li during pregnancy. In addition, a larger possibility of a high, potentially beneficial, exposure to Zn could occur during pregnancy in controls. Finally, we found decisive evidence for an average increase of Hg in 5-year-old ASD children compared to only weak evidence for controls. This is concordant with previous research showing an impaired ability for eliminating Hg in the ASD group.
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| 4. |
- Carlsson, Jenny, 1977-, et al.
(author)
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Detection of global glycosylation changes of serum proteins in type 1 diabetes using a lectin panel and multivariate data analysis
- 2008
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In: Talanta. - : Elsevier BV. - 0039-9140 .- 1873-3573. ; 76:2, s. 333-337
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Journal article (peer-reviewed)abstract
- Global glycosylation changes of serum proteins in type 1 diabetic patients have in this paper been investigated based on the interaction of the saccharide moiety of serum proteins with different lectins. Lectins are proteins, which bind carbohydrates specifically and reversibly. Panels with lectins of various carbohydrate specificities were immobilized on gold surfaces. Sera from healthy individuals, newly diagnosed type 1 diabetes patients and type 1 diabetes patients having had the disease for 4–6 years, respectively, were applied to the lectin panel. The biorecognition was evaluated with null ellipsometry. Data obtained were related to an internal standard of lactoferrin. Multivariate data analysis (MVDA) techniques were used to analyze data. Principal component analysis showed that the lectin panel enabled discrimination between sera from the three different above-mentioned groups. Using an artificial neuronal net (ANN), it was possible to correctly categorize unknown serum samples into one of the three groups.
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| 5. |
- Carlsson, Jenny, 1977-, et al.
(author)
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Determination of insulin autoantibodies using surface plasmon resonance: A screening study of newly diagnosed type 1 diabetes patients
- 2008
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Other publication (other academic/artistic)abstract
- We have investigated the screening potential of a surface plasmon resonance (SPR)-based indirectcompetitive immunoassay for quantification of insulin autoantibodies (IAA) in sera from childrennewly diagnosed with type 1 diabetes (T1D), using a radioimmunoassay (RIA) as reference technique.The two methods agreed well with respect to sample classification of 54 sera from newly diagnosedT1D children and 32 reference sera from non-diabetic children. Interestingly, five samples from newlydiagnosed T1D patients classified as IAA-negative according to RIA were IAA-positive with the SPRbasedassay, suggesting that the SPR-based assay might provide a higher sensitivity than the referenceRIA. However, 14 percent of the analyzed samples (five samples from non-diabetics and seven fromnewly diagnosed T1D patients) gave rise to anomalously high and easily distinguishable responses withthe SPR-based method, precluding IAA-quantification. A considerable part of the paper is devoted to adiscussion of possible causes of these anomalous responses. They were not due to temporary changesin the status of the patients, such as infections at the time of sampling, and also not related tocomplement activation. It is speculated whether a plausible explanation should instead be sought in theexistence of anti-idiotypic antibodies to IAA.
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| 6. |
- Teixeira, Pedro F., et al.
(author)
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Assisting the implementation of screening for type 1 diabetes by using artificial intelligence on publicly available data
- 2024
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In: DIABETOLOGIA. - : SPRINGER. - 0012-186X .- 1432-0428. ; 67, s. 985-994
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Journal article (peer-reviewed)abstract
- The type 1 diabetes community is coalescing around the benefits and advantages of early screening for disease risk. To be accepted by healthcare providers, regulatory authorities and payers, screening programmes need to show that the testing variables allow accurate risk prediction and that individualised risk-informed monitoring plans are established, as well as operational feasibility, cost-effectiveness and acceptance at population level. Artificial intelligence (AI) has the potential to contribute to solving these issues, starting with the identification and stratification of at-risk individuals. ASSET (AI for Sustainable Prevention of Autoimmunity in the Society; www.asset.healthcare) is a public/private consortium that was established to contribute to research around screening for type 1 diabetes and particularly to how AI can drive the implementation of a precision medicine approach to disease prevention. ASSET will additionally focus on issues pertaining to operational implementation of screening. The authors of this article, researchers and clinicians active in the field of type 1 diabetes, met in an open forum to independently debate key issues around screening for type 1 diabetes and to advise ASSET. The potential use of AI in the analysis of longitudinal data from observational cohort studies to inform the design of improved, more individualised screening programmes was also discussed. A key issue was whether AI would allow the research community and industry to capitalise on large publicly available data repositories to design screening programmes that allow the early detection of individuals at high risk and enable clinical evaluation of preventive therapies. Overall, AI has the potential to revolutionise type 1 diabetes screening, in particular to help identify individuals who are at increased risk of disease and aid in the design of appropriate follow-up plans. We hope that this initiative will stimulate further research on this very timely topic.
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| 7. |
- Aydemir, O, et al.
(author)
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Genetic Variation Within the HLA-DRA1 Gene Modulates Susceptibility to Type 1 Diabetes in HLA-DR3 Homozygotes
- 2019
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In: Diabetes. - : American Diabetes Association. - 1939-327X .- 0012-1797. ; 68:7, s. 1523-1527
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Journal article (peer-reviewed)abstract
- Type 1 diabetes (T1D) involves the interaction of multiple gene variants, environmental factors, and immunoregulatory dysfunction. Major T1D genetic risk loci encode HLA-DR and -DQ. Genetic heterogeneity and linkage disequilibrium in the highly polymorphic HLA region confound attempts to identify additional T1D susceptibility loci. To minimize HLA heterogeneity, T1D patients (N = 365) and control subjects (N = 668) homozygous for the HLA-DR3 high-risk haplotype were selected from multiple large T1D studies and examined to identify new T1D susceptibility loci using molecular inversion probe sequencing technology. We report that risk for T1D in HLA-DR3 homozygotes is increased significantly by a previously unreported haplotype of three single nucleotide polymorphisms (SNPs) within the first intron of HLA-DRA1. The homozygous risk haplotype has an odds ratio of 4.65 relative to the protective homozygous haplotype in our sample. Individually, these SNPs reportedly function as “expression quantitative trait loci,” modulating HLA-DR and -DQ expression. From our analysis of available data, we conclude that the tri-SNP haplotype within HLA-DRA1 may modulate class II expression, suggesting that increased T1D risk could be attributable to regulated expression of class II genes. These findings could help clarify the role of HLA in T1D susceptibility and improve diabetes risk assessment, particularly in high-risk HLA-DR3 homozygous individuals.
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| 8. |
- Berryman, Meghan A., et al.
(author)
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Autoimmune-associated genetics impact probiotic colonization of the infant gut
- 2022
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In: Journal of Autoimmunity. - : Elsevier. - 0896-8411 .- 1095-9157. ; 133
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Journal article (peer-reviewed)abstract
- To exemplify autoimmune-associated genetic influence on the colonization of bacteria frequently used in probiotics, microbial composition of stool from 1326 one-year-old infants was analyzed in a prospective general-population cohort, All Babies In Southeast Sweden (ABIS). We show that an individual's HLA haplotype composition has a significant impact on which common Bifidobacterium strains thrive in colonizing the gut. The effect HLA has on the gut microbiome can be more clearly observed when considered in terms of allelic dosage. HLA DR1-DQ5 showed the most significant and most prominent effect on increased Bifidobacterium relative abundance. Therefore, HLA DR1-DQ5 is proposed to act as a protective haplotype in many individuals. Protection-associated HLA haplotypes are more likely to influence the promotion of specific bifidobacteria. In addition, strain-level differences are correlated with colonization proficiency in the gut depending on HLA haplotype makeup. These results demonstrate that HLA genetics should be considered when designing effective probiotics, particularly for those at high genetic risk for autoimmune diseases.
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| 9. |
- Carlsson, Emma, et al.
(author)
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Psychological stress in children may alter the immune response
- 2014
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In: Journal of Immunology. - : American Association of Immunologists. - 0022-1767 .- 1550-6606. ; 192:5, s. 2071-2081
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Journal article (peer-reviewed)abstract
- Psychological stress is a public health issue even in children and has been associated with a number of immunological diseases. The aim of this study was to examine the relationship between psychological stress and immune response in healthy children, with special focus on autoimmunity. In this study, psychological stress was based on a composite measure of stress in the family across the domains: 1) serious life events, 2) parenting stress, 3) lack of social support, and 4) parental worries. PBMCs, collected from 5-y-old high-stressed children (n = 26) and from 5-y-old children without high stress within the family (n = 52), from the All Babies In Southeast Sweden cohort, were stimulated with Ags (tetanus toxoid and b-lactoglobulin) and diabetes-related autoantigens (glutamic acid decarboxylase 65, insulin, heat shock protein 60, and tyrosine phosphatase). Immune markers (cytokines and chemokines), clinical parameters (C-peptide, proinsulin, glucose), and cortisol, as an indicator of stress, were analyzed. Children from families with high psychological stress showed a low spontaneous immune activity (IL-5, IL-10, IL-13, IL-17, CCL2, CCL3, and CXCL10; p less than 0.01) but an increased immune response to tetanus toxoid, b-lactoglobulin, and the autoantigens glutamic acid decarboxylase 65, heat shock protein 60, and tyrosine phosphatase (IL-5, IL-6, IL-10, IL-13, IL-17, IFN-g, TNF-A, CCL2, CCL3, and CXCL10; p less than 0.05). Children within the high-stress group showed high level of cortisol, but low level of C-peptide, compared with the control group (p less than 0.05). This supports the hypothesis that psychological stress may contribute to an imbalance in the immune response but also to a pathological effect on the insulin-producing b cells.Copyright © 2014 by The American Association of Immunologists.
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| 10. |
- Hanna, Stephanie J., et al.
(author)
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Single-cell RNAseq identifies clonally expanded antigen-specific T-cells following intradermal injection of gold nanoparticles loaded with diabetes autoantigen in humans
- 2023
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In: Frontiers in Immunology. - : FRONTIERS MEDIA SA. - 1664-3224. ; 14
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Journal article (peer-reviewed)abstract
- Gold nanoparticles (GNPs) have been used in the development of novel therapies as a way of delivery of both stimulatory and tolerogenic peptide cargoes. Here we report that intradermal injection of GNPs loaded with the proinsulin peptide C19-A3, in patients with type 1 diabetes, results in recruitment and retention of immune cells in the skin. These include large numbers of clonally expanded T-cells sharing the same paired T-cell receptors (TCRs) with activated phenotypes, half of which, when the TCRs were re-expressed in a cell-based system, were confirmed to be specific for either GNP or proinsulin. All the identified gold-specific clones were CD8+, whilst proinsulin-specific clones were both CD8+ and CD4+. Proinsulin-specific CD8+ clones had a distinctive cytotoxic phenotype with overexpression of granulysin (GNLY) and KIR receptors. Clonally expanded antigen-specific T cells remained in situ for months to years, with a spectrum of tissue resident memory and effector memory phenotypes. As the T-cell response is divided between targeting the gold core and the antigenic cargo, this offers a route to improving resident memory T-cells formation in response to vaccines. In addition, our scRNAseq data indicate that focusing on clonally expanded skin infiltrating T-cells recruited to intradermally injected antigen is a highly efficient method to enrich and identify antigen-specific cells. This approach has the potential to be used to monitor the intradermal delivery of antigens and nanoparticles for immune modulation in humans.
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