XIST EXPRESSION IN MALES WITH SYSTEMIC LUPUS ERYTHEMATOSUS: BIMODAL DISTRIBUTION AND PARTIAL X-CHROMOSOME INACTIVATION
Notice bibliographique
Résumé
PT022 / #742 Topic: AS12 - Genetics, Epigenetics, Transcriptomics POSTER TOUR 05: SLE PATHOGENESIS 24-05-2025 10:00 AM - 10:20 AM Background/Purpose Systemic lupus erythematosus (SLE) exhibits a pronounced female-biased imbalance in disease prevalence, with a female-to-male ratio of 9:1. Although the exact mechanisms remain unclear, the significant role of X-chromosome dosage is supported by karyotypic risks associated with SLE. This study utilizes paired transcriptomic (RNAseq), proteomic (Olink), and epigenomic (EMSeq) data from large phase 3 trials to gain mechanistic insights into the drivers behind the sexual bias in SLE. Methods Baseline RNAseq, Olink, and EMseq data were collected from the whole blood of 722 SLE patients (680 female, 42 male) and 84 healthy controls (77 female, 7 male) from 2 phase 3 clinical trials ( NCT03616964 , NCT03616912 ). Differential expression analysis was performed using a factorial design to calculate the following comparisons for each modality: i) SLE vs healthy controls in females, ii) SLE vs healthy controls in males, and iii) interaction between sex and disease. Gene set enrichment analysis (GSEA) of patient subsets was conducted using Gene Ontology (GO) biological process terms. To ensure our cohort did not contain erroneous results due to Klinefelter’s males, we inferred X-chromosome heterozygosity by calculating the read depth of the X-chromosome from the EMseq bam files. To validate our results, we performed similar differential expression analysis on EMseq data from an independent cohort of SLE patients (241 females, 13 males) from 2 additional phase 3 clinical trials ( NCT01205438 , NCT01196091 ). Results The strongest changes differentiating how sexes respond to disease were observed in the expression of lncRNA XIST (X-inactive specific transcript) and epigenetics. Specifically, we noted an increased expression of XIST in males with SLE compared to healthy controls (Figure 1A), with this expression exhibiting a bimodal distribution (Figure 1B). GSEA indicated that males with high XIST expression exhibit enrichment in biological processes (GO) related to metabolism and immunoglobulin production, such as oxidative phosphorylation, B cell mediated immunity, and immunoglobulin production compared to XIST low males. Consistent with XIST’s known role in X-chromosome inactivation, we observed corresponding hypermethylation of the X-chromosome and downregulation of X-linked genes in males with SLE (Figure 1C). Lastly, we observed similar patterns of X-chromosome hypermethylation using EMseq data from an independent cohort of SLE patients. A) Violin plots of XIST expression (RNAseq) in women (left) and men (right). B) Density plot of the bimodal expression of XIST in men with SLE. Dashed red line indicates the separation between XIST high and XIST low groups. C) Distribution plots of significant changes (|FC| > 1.5; FDR < 0.1) in gene methylation (top), promoter methylation (middle), and gene expression (bottom) on the X chromosome in females (pink), XIST high males (green), and XIST low males (blue) compared to healthy controls. Figure 1. Partial X-chromosome inactivation in males with SLE. Conclusions This study, which includes the most comprehensive and largest dataset of male SLE patients to date, shows that males with SLE express significantly higher levels of XIST, accompanied by hypermethylation of the X-chromosome and downregulation of X-linked genes compared to healthy controls, suggesting partial X-chromosome inactivation in males with SLE. Importantly, we have confirmed that these changes are not artifacts of Klinefelter’s patients within the cohort. We hypothesize that this X-chromosome inactivation may be driving SLE via several mechanisms, including: i) inactivation of immunoregulatory molecules, ii) inducing development of SLE autoantibodies, and/or iii) driving interferon production via TLR7.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».