Comparing HLA Shared Epitopes in French Caucasian Patients with Scleroderma

Although many studies have analyzed HLA allele frequencies in several ethnic groups in patients with scleroderma (SSc), none has been done in French Caucasian patients and none has evaluated which one of the common amino acid sequences, 67FLEDR71, shared by HLA-DRB susceptibility alleles, or 71TRAELDT77, shared by HLA-DQB1 susceptibility alleles in SSc, was the most important to develop the disease. HLA-DRB and DQB typing was performed for a total of 468 healthy controls and 282 patients with SSc allowing FLEDR and TRAELDT analyses. Results were stratified according to patient’s clinical subtypes and autoantibody status. Moreover, standardized HLA-DRß1 and DRß5 reverse transcriptase Taqman PCR assays were developed to quantify ß1 and ß5 mRNA in 20 subjects with HLA-DRB1*15 and/or DRB1*11 haplotypes. FLEDR motif is highly associated with diffuse SSc (χ2 = 28.4, p<10−6) and with anti-topoisomerase antibody (ATA) production (χ2 = 43.9, p<10−9) whereas TRAELDT association is weaker in both subgroups (χ2 = 7.2, p = 0.027 and χ2 = 14.6, p = 0.0007 respectively). Moreover, FLEDR motif- association among patients with diffuse SSc remains significant only in ATA subgroup. The risk to develop ATA positive SSc is higher with double dose FLEDR than single dose with respectively, adjusted standardised residuals of 5.1 and 2.6. The increase in FLEDR motif is mostly due to the higher frequency of HLA-DRB1*11 and DRB1*15 haplotypes. Furthermore, FLEDR is always carried by the most abundantly expressed ß chain: ß1 in HLA DRB1*11 haplotypes and ß5 in HLA-DRB1*15 haplotypes

Burden of disease scenarios for 204 countries and territories, 2022–2050: a forecasting analysis for the Global Burden of Disease Study 2021

Background: Future trends in disease burden and drivers of health are of great interest to policy makers and the public at large. This information can be used for policy and long-term health investment, planning, and prioritisation. We have expanded and improved upon previous forecasts produced as part of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) and provide a reference forecast (the most likely future), and alternative scenarios assessing disease burden trajectories if selected sets of risk factors were eliminated from current levels by 2050. Methods: Using forecasts of major drivers of health such as the Socio-demographic Index (SDI; a composite measure of lag-distributed income per capita, mean years of education, and total fertility under 25 years of age) and the full set of risk factor exposures captured by GBD, we provide cause-specific forecasts of mortality, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs) by age and sex from 2022 to 2050 for 204 countries and territories, 21 GBD regions, seven super-regions, and the world. All analyses were done at the cause-specific level so that only risk factors deemed causal by the GBD comparative risk assessment influenced future trajectories of mortality for each disease. Cause-specific mortality was modelled using mixed-effects models with SDI and time as the main covariates, and the combined impact of causal risk factors as an offset in the model. At the all-cause mortality level, we captured unexplained variation by modelling residuals with an autoregressive integrated moving average model with drift attenuation. These all-cause forecasts constrained the cause-specific forecasts at successively deeper levels of the GBD cause hierarchy using cascading mortality models, thus ensuring a robust estimate of cause-specific mortality. For non-fatal measures (eg, low back pain), incidence and prevalence were forecasted from mixed-effects models with SDI as the main covariate, and YLDs were computed from the resulting prevalence forecasts and average disability weights from GBD. Alternative future scenarios were constructed by replacing appropriate reference trajectories for risk factors with hypothetical trajectories of gradual elimination of risk factor exposure from current levels to 2050. The scenarios were constructed from various sets of risk factors: environmental risks (Safer Environment scenario), risks associated with communicable, maternal, neonatal, and nutritional diseases (CMNNs; Improved Childhood Nutrition and Vaccination scenario), risks associated with major non-communicable diseases (NCDs; Improved Behavioural and Metabolic Risks scenario), and the combined effects of these three scenarios. Using the Shared Socioeconomic Pathways climate scenarios SSP2-4.5 as reference and SSP1-1.9 as an optimistic alternative in the Safer Environment scenario, we accounted for climate change impact on health by using the most recent Intergovernmental Panel on Climate Change temperature forecasts and published trajectories of ambient air pollution for the same two scenarios. Life expectancy and healthy life expectancy were computed using standard methods. The forecasting framework includes computing the age-sex-specific future population for each location and separately for each scenario. 95% uncertainty intervals (UIs) for each individual future estimate were derived from the 2·5th and 97·5th percentiles of distributions generated from propagating 500 draws through the multistage computational pipeline. Findings: In the reference scenario forecast, global and super-regional life expectancy increased from 2022 to 2050, but improvement was at a slower pace than in the three decades preceding the COVID-19 pandemic (beginning in 2020). Gains in future life expectancy were forecasted to be greatest in super-regions with comparatively low life expectancies (such as sub-Saharan Africa) compared with super-regions with higher life expectancies (such as the high-income super-region), leading to a trend towards convergence in life expectancy across locations between now and 2050. At the super-region level, forecasted healthy life expectancy patterns were similar to those of life expectancies. Forecasts for the reference scenario found that health will improve in the coming decades, with all-cause age-standardised DALY rates decreasing in every GBD super-region. The total DALY burden measured in counts, however, will increase in every super-region, largely a function of population ageing and growth. We also forecasted that both DALY counts and age-standardised DALY rates will continue to shift from CMNNs to NCDs, with the most pronounced shifts occurring in sub-Saharan Africa (60·1% [95% UI 56·8–63·1] of DALYs were from CMNNs in 2022 compared with 35·8% [31·0–45·0] in 2050) and south Asia (31·7% [29·2–34·1] to 15·5% [13·7–17·5]). This shift is reflected in the leading global causes of DALYs, with the top four causes in 2050 being ischaemic heart disease, stroke, diabetes, and chronic obstructive pulmonary disease, compared with 2022, with ischaemic heart disease, neonatal disorders, stroke, and lower respiratory infections at the top. The global proportion of DALYs due to YLDs likewise increased from 33·8% (27·4–40·3) to 41·1% (33·9–48·1) from 2022 to 2050, demonstrating an important shift in overall disease burden towards morbidity and away from premature death. The largest shift of this kind was forecasted for sub-Saharan Africa, from 20·1% (15·6–25·3) of DALYs due to YLDs in 2022 to 35·6% (26·5–43·0) in 2050. In the assessment of alternative future scenarios, the combined effects of the scenarios (Safer Environment, Improved Childhood Nutrition and Vaccination, and Improved Behavioural and Metabolic Risks scenarios) demonstrated an important decrease in the global burden of DALYs in 2050 of 15·4% (13·5–17·5) compared with the reference scenario, with decreases across super-regions ranging from 10·4% (9·7–11·3) in the high-income super-region to 23·9% (20·7–27·3) in north Africa and the Middle East. The Safer Environment scenario had its largest decrease in sub-Saharan Africa (5·2% [3·5–6·8]), the Improved Behavioural and Metabolic Risks scenario in north Africa and the Middle East (23·2% [20·2–26·5]), and the Improved Nutrition and Vaccination scenario in sub-Saharan Africa (2·0% [–0·6 to 3·6]). Interpretation: Globally, life expectancy and age-standardised disease burden were forecasted to improve between 2022 and 2050, with the majority of the burden continuing to shift from CMNNs to NCDs. That said, continued progress on reducing the CMNN disease burden will be dependent on maintaining investment in and policy emphasis on CMNN disease prevention and treatment. Mostly due to growth and ageing of populations, the number of deaths and DALYs due to all causes combined will generally increase. By constructing alternative future scenarios wherein certain risk exposures are eliminated by 2050, we have shown that opportunities exist to substantially improve health outcomes in the future through concerted efforts to prevent exposure to well established risk factors and to expand access to key health interventions

Analyzing HLA-G polymorphisms in children from women with scleroderma.

International audienceEmbryos during pregnancy and organs during transplantation, express high levels of soluble HLA-G (sHLA-G) molecules for successful implantation and protection against maternal immune cells or recipient's cells. We and others have shown that women with scleroderma (SSc) carry cells/DNA arising from pregnancy, so-called fetal microchimerism (Mc) more often and in higher quantities than healthy women decades after delivery. We hypothesized that high levels of fetal Mc were the consequence of a fetus with a high sHLA-G profile, therefore that children from women with SSc would have this profile more often than children from healthy women. High sHLA-G secretor profile is influenced by at least two variations in the HLA-G 3' untranslated region (UTR): a 14 bp deletion in exon 8 and the presence of cysteine (C) in position +3142 and by one variation in the 5' Upstream Regulatory Region (URR) at position -725. By a previously developed three-step multiplex PCR SNaPshot method, we evaluated 16 HLA-G polymorphisms in DNA samples from the first-born children of 39 women with SSc and 32 healthy women. Contrary to expectations, children from women with SSc did not have a high sHLA-G profile, but rather the opposite. We discuss possible reasons for this result and future orientations for HLA-G studies in SSc

1.65 Copy number variation of TLR7 and TLR8 genes is age and sex biased: which role in autoimmunity?

International audienceBACKGROUND AND OBJECTIVES: Women, having two X chromosomes, are more predisposed than men to autoimmune diseases. The X chromosome contains many genes linked to immunity which may contribute to this gender bias. In a mouse model, a duplication of the innate immunity X-linked toll like receptor 7 (Tlr7) gene has been shown to potentiate autoimmunity in males. We then proposed to investigate whether TLR7 gene and its neighboring paralog TLR8 could have variations in their copy numbers, contributing to the pathogenesis of rheumatoid arthritis (RA) in men. METHODS: A real-time quantitative PCR protocol was developed to assess copy number variation (CNV) of TLR7 and TLR8 gene, using sensitive and optimised ΔΔCt and standard curve methods, in DNA from peripheral blood mononuclear cells of 60 patients with RA (including 49 men) and 64 healthy controls (including 42 men). Among them, 31 men with RA and 18 healthy men were further screened for TLR7/8 CNV in 4 subpopulations: B cells, T cells, granulocytes and the depleted fraction of the former 3. RESULTS: TLR7/8 copy numbers significantly increased with age in PBMCs from all men (P < 0.0001, Spearman's rank correlation test), whether they had RA or not. The increase had mean amplitude of 20%, spanning from the age of 20 until 80, according to the linear-regression-curve's best fit. This age-dependent and disease-independent CNV increase was also observed in all cell subsets. Interestingly, such increase was not observed in women, healthy or with RA, but rather an opposite trend. CONCLUSION AND PERSPECTIVES: For the first time we showed an increased CNV in TLR7 and TLR8 genes which is age and sex-mediated. Several hypotheses could explain such phenomenon. For example, somatically acquired duplications can affect some cells over time and result in an increase with age in men. In parallel, X chromosome monosomy, previously described in aging women could account for the opposite trend in those. Another explanation for men can be due to the presence of feminine microchimerism, arising from feto-maternal or twin sister exchange during in utero life, as previously described. Such cells would carry 2 X chromosomes and contribute to the increased pool of X-linked genes among XY host cells. Investigating these hypotheses would provide better understanding of age-associated X-linked genetic modifications and the role of the X chromosome in gender differences in health and disease. Abstract topicOther

Cells from a vanished twin as a source of microchimerism 40 years later

We report the case of a 40-year-old man diagnosed with a scleroderma-like disease. Clinical similarities with graft versus host disease prompted initial testing for chimerism employing fluorescence in situ hybridization (FISH). Female cells were observed within peripheral blood mononuclear cells from the patient

Example of X chromosome inactivation status in 5 samples.

<p>Polymerase chain reaction products from the androgen receptor (<i>AR</i>) methylation assay shows random X chromosome inactivation (50–79%) in samples A and C, and skewed X chromosome inactivation (80–89%) in sample E. Samples B and D have a non-informative status. For each sample, DNA was either undigested (−) or digested (+) with the methylation-sensitive restriction enzyme <i>HpaII</i>. Marker (331-bp and 242-bp) fragments are visible.</p

Contingency analyses of X chromosome inactivation patterns in regard to various subjects’ characteristics.

<p>Contingency analyses of X chromosome inactivation patterns in regard to various subjects’ characteristics.</p

Comparison of X chromosome inactivation patterns and the presence of HLA-susceptibility alleles.

<p>Comparison of X chromosome inactivation patterns and the presence of HLA-susceptibility alleles.</p