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Aims: Bone marrow mononuclear cells (BM-MNCs) are a rich source of hematopoietic stem cells that have been widely used in experimental therapies for patients with various diseases, including fractures.Activation of angiogenesis is believed to be one of the major modes of action of BM-MNCs; however, the essential mechanism by which BM-MNCs activate angiogenesis remains elusive. This study aimed to demonstrate that BM-MNCs promote bone healing by enhancing angiogenesis through direct cell-to-cell interactions via gap junctions, in addition to a previously reported method.

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Human Oncostatin M deficiency underlies an inherited severe bone marrow failure syndrome.

J Clin Invest

January 2025

Laboratory of Genome Dynamics in the Immune, INSERM UMR 116, Équipe Labellisée LIGUE 2023, Paris, France.

Oncostatin M (OSM) is a cytokine with the unique ability to interact with both the OSM receptor (OSMR) and the leukemia inhibitory factor receptor (LIFR). On the other hand, OSMR interacts with IL31RA to form the interleukin-31 receptor. This intricate network of cytokines and receptors makes it difficult to understand the specific function of OSM.

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ANKRD11 binding to cohesin suggests a connection between KBG syndrome and Cornelia de Lange syndrome.

Proc Natl Acad Sci U S A

January 2025

Shenzhen Key Laboratory of Biomolecular Assembling and Regulation, Department of Neuroscience, School of Life Sciences, Southern University of Science and Technology, Shenzhen 518055, China.

Ankyrin Repeat Domain-containing Protein 11 () is a causative gene for KBG syndrome, a significant risk factor for Cornelia de Lange syndrome (CdLS), and a highly confident autism spectrum disorder gene. Mutations of lead to developmental abnormalities in multiple organs/tissues including the brain, craniofacial and skeletal bones, and tooth structures with unknown mechanism(s). Here, we find that ANKRD11, via a short peptide fragment in its N-terminal region, binds to the cohesin complex with a high affinity, implicating why mutation can cause CdLS.

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Prediction models for the complication incidence and survival rate of dental implants-a systematic review and critical appraisal.

Int J Implant Dent

January 2025

Center of Oral Implantology, Stomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou, China.

Purpose: This systematic review aims to assess the performance, methodological quality and reporting transparency in prediction models for the dental implant's complications and survival rates.

Methods: A literature search was conducted in PubMed, Web of Science, and Embase databases. Peer-reviewed studies that developed prediction models for dental implant's complications and survival rate were included.

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Bone mechanical function is determined by multiple factors, some of which are still being elucidated. Here, we present a multivariate analysis of the role of bone tissue composition in the proximal femur stiffness of cadaver bones (n = 12, age 44-93). Stiffness was assessed by testing under loading conditions simulating a sideways fall onto the hip.

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