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RICTOR is a key component of the mTORC2 signaling complex which is involved in the regulation of cell growth, proliferation and survival. RICTOR is highly expressed in neurons and is necessary for brain development. Here, we report eight unrelated patients presenting with intellectual disability and/or development delay and carrying variants in the RICTOR gene. The phenotypic presentation is diverse with associated features including growth failure, feeding difficulties, abnormal behavior, seizure, hypertonia, brain anomalies and various other congenital organ and skeletal malformations. All patients carried de novo or heterozygous variants inherited from one affected parent, including three missense variants, four loss-of-function variants and one 3 kb deletion encompassing RICTOR. The mTORC2 pathway was hyperactivated in a patient's fibroblasts carrying a missense variant, while the expression of RICTOR remained unchanged, indicating a gain-of-function mechanism. RNA sequencing on RICTOR knock-out mouse embryonic fibroblasts confirmed the potential role of RICTOR in neuronal cell development., Competing Interests: Competing interests: The authors declare no competing interests. Ethics approval: All sequencing experiments were performed upon written informed consent for clinical sequencing and/or by center-specific institutional review board approval for research sequencing., (© 2024. The Author(s), under exclusive licence to European Society of Human Genetics.)

Early and accurate diagnosis is crucial to prevent disease development and define therapeutic strategies. Due to predominantly unspecific symptoms, diagnosis of autoimmune diseases (AID) is notoriously challenging. Clinical decision support systems (CDSS) are a promising method with the potential to enhance and expedite precise diagnostics by physicians. However, due to the difficulties of integrating and encoding multi-omics data with clinical values, as well as a lack of standardization, such systems are often limited to certain data types. Accordingly, even sophisticated data models fall short when making accurate disease diagnoses and presenting data analyses in a user-friendly form. Therefore, the integration of various data types is not only an opportunity but also a competitive advantage for research and industry. We have developed an integration pipeline to enable the use of machine learning for patient classification based on multi-omics data in combination with clinical values and laboratory results. The application of our framework resulted in up to 96% prediction accuracy of autoimmune diseases with machine learning models. Our results deliver insights into autoimmune disease research and have the potential to be adapted for applications across disease conditions., Competing Interests: D eclarations Conflict of interest Jan Kruta, Raphael Carapito, Marten Trendelenburg, Thierry Martin, Marta Rizzi, Reinhard E. Voll, Andrea Cavalli, Eriberto Natali, Patrick Meier, Marc Stawiski, Johannes Mosbacher, Annette Mollet, Miriam Capri, Enrico Giampieri, Aurelia Santoro and Erik Schkommodau declare that they have no conflict of interest. Enkelejda Miho owns shares in aiNET GmbH. Ethics approval This study, involving human participants, complies with the Declaration of Helsinki and has received approvals from the appropriate medical ethical committees. The study has been approved by the CHU Strasbourg Medical Ethical Committee under the approval number CPP- IV- Est- 08/02/2011. Participants gave their informed consent prior to their involvement in the study., (© 2024. The Author(s).)

Extracellular vesicles released by tumors (tEVs) disseminate via circulatory networks and promote microenvironmental changes in distant organs favoring metastatic seeding. Despite their abundance in the bloodstream, how hemodynamics affect the function of circulating tEVs remains unsolved. We demonstrated that efficient uptake of tEVs occurs in venous endothelial cells that are subjected to hemodynamics. Low flow regimes observed in veins partially reroute internalized tEVs toward non-acidic and non-degradative Rab14-positive endosomes, at the expense of lysosomes, suggesting that endothelial mechanosensing diverts tEVs from degradation. Subsequently, tEVs promote the expression of pro-angiogenic transcription factors in low flow-stimulated endothelial cells and favor vessel sprouting in zebrafish. Altogether, we demonstrate that low flow regimes potentiate the pro-tumoral function of circulating tEVs by promoting their uptake and rerouting their trafficking. We propose that tEVs contribute to pre-metastatic niche formation by exploiting endothelial mechanosensing in specific vascular regions with permissive hemodynamics., (© 2023 The Authors. Published under the terms of the CC BY NC ND 4.0 license.)

Graft-versus-host disease (GVHD) and cytomegalovirus (CMV)-related complications are leading causes of mortality after unrelated-donor hematopoietic cell transplantation (UD-HCT). The non-conventional MHC class I gene MICB, alike MICA, encodes a stress-induced polymorphic NKG2D ligand. However, unlike MICA, MICB interacts with the CMV-encoded UL16, which sequestrates MICB intracellularly, leading to immune evasion. Here, we retrospectively analyzed the impact of mismatches in MICB amino acid position 98 (MICB98), a key polymorphic residue involved in UL16 binding, in 943 UD-HCT pairs who were allele-matched at HLA-A, -B, -C, -DRB1, -DQB1 and MICA loci. HLA-DP typing was further available. MICB98 mismatches were significantly associated with an increased incidence of acute (grade II-IV: HR, 1.20; 95% CI, 1.15 to 1.24; P < 0.001; grade III-IV: HR, 2.28; 95% CI, 1.56 to 3.34; P < 0.001) and chronic GVHD (HR, 1.21; 95% CI, 1.10 to 1.33; P < 0.001). MICB98 matching significantly reduced the effect of CMV status on overall mortality from a hazard ratio of 1.77 to 1.16. MICB98 mismatches showed a GVHD-independent association with a higher incidence of CMV infection/reactivation (HR, 1.84; 95% CI, 1.34 to 2.51; P < 0.001). Hence selecting a MICB98-matched donor significantly reduces the GVHD incidence and lowers the impact of CMV status on overall survival.

The prognosis of patients with relapsed/refractory (R/R) diffuse large B-cell lymphoma (DLBCL) remains unsatisfactory and, despite major advances in genomic studies, the biological mechanisms underlying chemoresistance are still poorly understood. We conducted for the first time a large-scale differential multi-omics investigation on DLBCL patient's samples in order to identify new biomarkers that could early identify patients at risk of R/R disease and to identify new targets that could determine chemorefractoriness. We compared a well-characterized cohort of R/R versus chemosensitive DLBCL patients by combining label-free quantitative proteomics and targeted RNA sequencing performed on the same tissues samples. The cross-section of both data levels allowed extracting a sub-list of 22 transcripts/proteins pairs whose expression levels significantly differed between the two groups of patients. In particular, we identified significant targets related to tumor metabolism (Hexokinase 3), microenvironment (IDO1, CXCL13), cancer cells proliferation, migration and invasion (S100 proteins) or BCR signaling pathway (CD79B). Overall, this study revealed several extremely promising biomarker candidates related to DLBCL chemorefractoriness and highlighted some new potential therapeutic drug targets. The complete datasets have been made publically available and should constitute a valuable resource for the future research.

Spondylocarpotarsal synostosis syndrome (SCT) is a rare Mendelian disorder (OMIM #272460) characterized by prenatal vertebral fusion, scoliosis, short stature and carpal and tarsal synostosis. SCT is typically known as an autosomal recessive disease caused by variants in the FLNB gene. The genetic basis of the rarer cases of vertical transmissions remains unknown. In two independent families with symptoms related to autosomal dominant SCT, we identified - by exome sequencing - two protein-altering variants in the embryonic myosin heavy chain 3 (MYH3) gene. As MYH3 variants are also associated with distal arthrogryposis (DA1, DA2A, DA2B) and autosomal dominant multiple pterygium syndromes (MPS), the present study expands the phenotypic spectrum of MYH3 variants to autosomal dominant SCT. Vertebral, carpal and tarsal fusions observed in both families further confirm that MYH3 plays a key role in skeletal development.