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The skeleton has been suggested to function as an endocrine organ controlling whole organism energy balance, however the mediators of this effect and their molecular links remain unclear. Here, utilizing Schnurri-3-/- (Shn3-/-) mice with augmented osteoblast activity, we show Shn3-/-mice display resistance against diet-induced obesity and enhanced white adipose tissue (WAT) browning. Conditional deletion of Shn3 in osteoblasts but not adipocytes recapitulates lean phenotype of Shn3-/-mice, indicating this phenotype is driven by skeleton. We further demonstrate osteoblasts lacking Shn3 can secrete cytokines to promote WAT browning. Among them, we identify a C-terminal fragment of SLIT2 (SLIT2-C), primarily secreted by osteoblasts, as a Shn3-regulated osteokine that mediates WAT browning. Lastly, AAV-mediated Shn3 silencing phenocopies the lean phenotype and augmented glucose metabolism. Altogether, our findings establish a novel bone-fat signaling axis via SHN3 regulated SLIT2-C production in osteoblasts, offering a potential therapeutic target to address both osteoporosis and metabolic syndrome.
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Tecido Adiposo Branco , Osso e Ossos , Dieta Hiperlipídica , Peptídeos e Proteínas de Sinalização Intercelular , Camundongos Knockout , Obesidade , Osteoblastos , Animais , Obesidade/metabolismo , Obesidade/genética , Obesidade/etiologia , Tecido Adiposo Branco/metabolismo , Osteoblastos/metabolismo , Peptídeos e Proteínas de Sinalização Intercelular/metabolismo , Peptídeos e Proteínas de Sinalização Intercelular/genética , Camundongos , Dieta Hiperlipídica/efeitos adversos , Osso e Ossos/metabolismo , Proteínas do Tecido Nervoso/metabolismo , Proteínas do Tecido Nervoso/genética , Masculino , Tecido Adiposo Marrom/metabolismo , Camundongos Endogâmicos C57BL , Adipócitos/metabolismo , Transdução de SinaisRESUMO
The cellular and molecular mediators of peri-implant fibrosis-a most common reason for implant failure and for surgical revision after the replacement of a prosthetic joint-remain unclear. Here we show that peri-implant fibrotic tissue in mice and humans is largely composed of a specific population of skeletal cells expressing the leptin receptor (LEPR) and that these cells are necessary and sufficient to generate and maintain peri-implant fibrotic tissue. In a mouse model of tibial implantation and osseointegration that mimics partial knee arthroplasty, genetic ablation of LEPR+ cells prevented peri-implant fibrosis and the implantation of LEPR+ cells from peri-implant fibrotic tissue was sufficient to induce fibrosis in secondary hosts. Conditional deletion of the adhesion G-protein-coupled receptor F5 (ADGRF5) in LEPR+ cells attenuated peri-implant fibrosis while augmenting peri-implant bone formation, and ADGRF5 inhibition by the intra-articular or systemic administration of neutralizing anti-ADGRF5 in the mice prevented and reversed peri-implant fibrosis. Pharmaceutical agents that inhibit the ADGRF5 pathway in LEPR+ cells may be used to prevent and treat peri-implant fibrosis.
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Only in the past decade have skeletal stem cells (SSCs), a cell type displaying formal evidence of stemness and serving as the ultimate origin of mature skeletal cell types such as osteoblasts, been defined. Here, we discuss a pair of recent reports that identify that SSCs do not represent a single cell type, but rather a family of related cells that each have characteristic anatomic locations and distinct functions tailored to the physiology of those sites. The distinct functional properties of these SSCs in turn provide a basis for the diseases of their respective locations. This concept emerges from one report identifying a distinct vertebral skeletal stem cell driving the high rate of breast cancer metastasis to the spine over other skeletal sites and a report identifying two SSCs in the calvaria that interact to mediate both physiologic calvarial mineralization and pathologic calvarial suture fusion in craniosynostosis. Despite displaying functional differences, these SSCs are each united by shared features including a shared series of surface markers and parallel differentiation hierarchies. We propose that this diversity at the level of SSCs in turn translates into a similar diversity at the level of mature skeletal cell types, including osteoblasts, with osteoblasts derived from different SSCs each displaying different functional and transcriptional characteristics reflecting their cell of origin. In this model, osteoblasts would represent not a single cell type, but rather a family of related cells each with distinct functions, paralleling the functional diversity in SSCs.
Only in the past decade have the stem cells in the skeleton been identified. Here, we discuss a pair of recent reports that identify that skeletal stem cells are actually a family of related cells that each have distinct locations and functions. These site-specific skeletal stem cells account for the signature diseases occurring in different regions of the skeleton. Specifically, one of these stem cells forms the spine and establishes that this stem cell drives the high rate of breast cancer metastasis to the spine over other skeletal sites. There are also at least two skeletal stem cells in the flat bones of the skull, with mutations alerting how these two stem cells "talk" to each other serving as a cause for disorders of premature skull fusion. Despite displaying differences in their function, these stem cells are each united by shared features including a partially shared series marker genes. We also here propose that this diversity at the level of skeletal stem cells translates into a similar diversity in mature skeletal cell types, including osteoblasts. In this model, osteoblasts are not a single cell type, but rather a family of related cells each with distinct functions.
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An in vivo animal model of a weight-bearing intra-articular implant is crucial to the study of implant osseointegration and aseptic loosening caused by osseointegration failure. Osseointegration, defined as a direct structural and functional attachment between living bone tissue and the surface of a load-carrying implant, is essential for implant stability and considered a prerequisite for the long-term clinical success of implants in total joint arthroplasty. Compared to large animal models, murine models offer extensive genetic tools for tracing cell differentiation and proliferation. The 18- to 22-week-old C57BL/6J background mice underwent either press-fitted or loose implantation of a titanium implant, achieving osseointegration or fibrous integration. A protocol was developed for both versions of the procedure, including a description of the relevant anatomy. Samples were subjected to microcomputed tomography and underwent biomechanical testing to access osseointegration. Lastly, samples were fixed and embedded for histological evaluation. The absence of mineralized tissue and weakened maximum pull-out force in loose implantation samples indicated that these implants were less mechanically stable compared to the control at 4 weeks postoperation. Histological analysis demonstrated extensive fibrotic tissue in the peri-implant area of loose implantation samples and excellent implant osseointegration in press-fitted samples at 4 weeks. Both mechanically stable and unstable hemiarthroplasty models with either osseous ingrowth or a robust periprosthetic fibrosis were achieved in mice. We hope that this model can help address current limitations for in vivo study of aseptic loosening and lead to necessary translational benefits.
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Transforming growth factor beta (TGF-ß) is ubiquitously found in bone and plays a key role in bone turnover. Mice expressing constitutively active TGF-ß receptor type I (Mx1;TßRICA mice) are osteopenic. Here, we identified the candidate genes involved in bone turnover in Mx1;TßRICA mice using RNA sequencing analysis. A total of 285 genes, including 87 upregulated and 198 downregulated genes, were differentially expressed. According to the KEGG analysis, some genes were involved in osteoclast differentiation (Fcgr4, Lilrb4a), B cell receptor signaling (Cd72, Lilrb4a), and neutrophil extracellular trap formation (Hdac7, Padi4). Lilrb4 is related to osteoclast inhibition protein, whereas Hdac7 is a Runx2 corepressor that regulates osteoblast differentiation. Silencing Lilrb4 increased the number of osteoclasts and osteoclast marker genes. The knocking down of Hdac7 increased alkaline phosphatase activity, mineralization, and osteoblast marker genes. Therefore, our present study may provide an innovative idea for potential therapeutic targets and pathways in TßRI-associated bone loss.
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Remodelação Óssea , Osteoclastos , Animais , Camundongos , Remodelação Óssea/genética , Osteoclastos/metabolismo , Osteoclastos/citologia , Osteoblastos/metabolismo , Regulação da Expressão Gênica , Receptor do Fator de Crescimento Transformador beta Tipo I/genética , Receptor do Fator de Crescimento Transformador beta Tipo I/metabolismo , Diferenciação Celular/genética , Histona Desacetilases/metabolismo , Histona Desacetilases/genética , Perfilação da Expressão GênicaRESUMO
The development of bone-targeting drug delivery systems holds immense promise for improving the treatment of skeletal diseases. By precisely delivering therapeutic agents to the affected areas of bone, these strategies can enhance drug efficacy, minimize off-target effects, and promote patient adherence, ultimately leading to improved treatment outcomes and an enhanced quality of life for patients. This review aims to provide an overview of the current state of affinity-based bone-targeting agents and recent breakthroughs in innovative bone-targeting adeno-associated virus (AAV) strategies to treat skeletal diseases in mice. In particular, this review will delve into advanced AAV engineering, including AAV serotype selection for bone targeting and capsid modifications for bone-specific tropism. Additionally, we will highlight recent advancements in AAV-mediated gene therapy for skeletal diseases and discuss challenges and future directions of this promising therapeutic approach.
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Doenças Ósseas , Dependovirus , Sistemas de Liberação de Medicamentos , Terapia Genética , Vetores Genéticos , Dependovirus/genética , Humanos , Animais , Terapia Genética/métodos , Sistemas de Liberação de Medicamentos/métodos , Vetores Genéticos/administração & dosagem , Vetores Genéticos/genética , Doenças Ósseas/terapia , Osso e Ossos/metabolismo , Técnicas de Transferência de Genes , CamundongosRESUMO
Background: Recently, the osteogenic potential of Adiponectin-labeled adipogenic lineage progenitors (Adipoq-lineage progenitors) in bone marrow has been observed to support bone maintenance and repair. However, little is known about the function of Schnurri-3 (SHN3, also known as HIVEP3) in other mesenchymal lineage cells, apart from its negative regulation of bone formation on osteoblasts. Method: In this study, we used single-cell RNA sequencing (scRNA-seq) profiling to demonstrate that Adipoq-lineage progenitors express higher levels of Shn3 compared to other mesenchymal cell populations in mice and humans. To investigate the role of SHN3 in Adipoq-lineage progenitors, we generated a murine model specifically harboring a Shn3-deficient allele in Adipoq-expressing cells. Information of mice body weight was collected weekly to generate body weight curve. Bone phenotype was analyzed using micro-CT and histomorphometric studies. To eliminate the role of peripheral adipose tissue on bone, we collected adipose wet weight, performed intraperitoneal glucose tolerance tests and intraperitoneal insulin tolerance tests, and conducted a fat-transplantation study. Osteoblast and osteoclast functions were assessed through toluidine blue staining and TRAP staining, respectively. We further investigated the effect of Shn3 depletion on the differentiation of Adipoq-lineage progenitors through immunostaining and in vitro differentiation assays. Finally, we evaluated whether Shn3 deficiency in Adipoq-lineage progenitors affects the fracture healing process by generating bi-cortical femoral fracture models. Results: Depletion of Shn3 in Adipoq-lineage progenitors resulted in a significant increase in trabecular bone mass and bone formation in vivo, without disrupting whole-body energy metabolism and skeletal development. Consistent with these findings, both cell-lineage tracing and functional assays revealed that Shn3 ablation effectively shifted the cell fate of Adipoq-lineage progenitors towards an osteogenic phenotype in the bone marrow. Furthermore, in vivo studies demonstrated that the lack of Shn3 in Adipoq-lineage progenitors also enhanced bone fracture healing under pathological conditions. Conclusion: Overall, our findings provide a novel strategy for targeting the osteoanabolic potential of bone marrow Adipoq-lineage progenitors as a potential treatment for bone loss-related disorders. Translational potential of this article: We have identified a novel gene target that directs the cell fate of a previously identified non-osteogenic cell population under physiological conditions. This study not only expands the therapeutic value of Shn3 ablation in treating osteoporotic or traumatic bone diseases but also provides new insights into the contribution of bone marrow Adipoq-lineage progenitors to osteogenesis. Thus, this article further supports Shn3 silencing as a valuable approach to treat osteopenia and accelerate fracture healing (see graphical abstract).
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Artificial intelligence (AI) chatbots utilizing large language models (LLMs) have recently garnered significant interest due to their ability to generate humanlike responses to user inquiries in an interactive dialog format. While these models are being increasingly utilized to obtain medical information by patients, scientific and medical providers, and trainees to address biomedical questions, their performance may vary from field to field. The opportunities and risks these chatbots pose to the widespread understanding of skeletal health and science are unknown. Here we assess the performance of 3 high-profile LLM chatbots, Chat Generative Pre-Trained Transformer (ChatGPT) 4.0, BingAI, and Bard, to address 30 questions in 3 categories: basic and translational skeletal biology, clinical practitioner management of skeletal disorders, and patient queries to assess the accuracy and quality of the responses. Thirty questions in each of these categories were posed, and responses were independently graded for their degree of accuracy by four reviewers. While each of the chatbots was often able to provide relevant information about skeletal disorders, the quality and relevance of these responses varied widely, and ChatGPT 4.0 had the highest overall median score in each of the categories. Each of these chatbots displayed distinct limitations that included inconsistent, incomplete, or irrelevant responses, inappropriate utilization of lay sources in a professional context, a failure to take patient demographics or clinical context into account when providing recommendations, and an inability to consistently identify areas of uncertainty in the relevant literature. Careful consideration of both the opportunities and risks of current AI chatbots is needed to formulate guidelines for best practices for their use as source of information about skeletal health and biology.
Artificial intelligence chatbots are increasingly used as a source of information in health care and research settings due to their accessibility and ability to summarize complex topics using conversational language. However, it is still unclear whether they can provide accurate information for questions related to the medicine and biology of the skeleton. Here, we tested the performance of three prominent chatbotsChatGPT, Bard, and BingAIby tasking them with a series of prompts based on well-established skeletal biology concepts, realistic physicianpatient scenarios, and potential patient questions. Despite their similarities in function, differences in the accuracy of responses were observed across the three different chatbot services. While in some contexts, chatbots performed well, and in other cases, strong limitations were observed, including inconsistent consideration of clinical context and patient demographics, occasionally providing incorrect or out-of-date information, and citation of inappropriate sources. With careful consideration of their current weaknesses, artificial intelligence chatbots offer the potential to transform education on skeletal health and science.
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Inteligência Artificial , Osso e Ossos , Humanos , Osso e Ossos/fisiologia , Doenças Ósseas/terapiaRESUMO
Adeno-associated viral (AAV) vectors have emerged as crucial tools in advancing gene therapy for skeletal diseases, offering the potential for sustained expression with low postinfection immunogenicity and pathogenicity. Preclinical studies support both the therapeutic efficacy and safety of these vectors, illustrating the promise of AAV-mediated gene therapy. Emerging technologies and innovations in AAV-mediated gene therapy strategies, such as gene addition, gene replacement, gene silencing, and gene editing, offer new approaches to clinical application. Recently, the increasing preclinical applications of AAV to rare skeletal diseases, such as fibrodysplasia ossificans progressiva (FOP) and osteogenesis imperfecta (OI), and prevalent bone diseases, such as osteoporosis, bone fracture, critical-sized bone defects, and osteoarthritis, have been reported. Despite existing limitations in clinical use, such as high cost and safety, the AAV-mediated gene transfer platform is a promising approach to deliver therapeutic gene(s) to the skeleton to treat skeletal disorders, including those otherwise intractable by other therapeutic approaches. This review provides a comprehensive overview of the therapeutic advancements, challenges, limitations, and solutions within AAV-based gene therapy for prevalent and rare skeletal diseases.
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Doenças Ósseas , Dependovirus , Terapia Genética , Vetores Genéticos , Humanos , Dependovirus/genética , Terapia Genética/métodos , Vetores Genéticos/genética , Doenças Ósseas/terapia , Doenças Ósseas/genética , Animais , Técnicas de Transferência de Genes , Edição de Genes/métodosRESUMO
Tissue-resident stem cells are essential for development and repair, and in the skeleton, this function is fulfilled by recently identified skeletal stem cells (SSCs). However, recent work has identified that SSCs are not monolithic, with long bones, craniofacial sites, and the spine being formed by distinct stem cells. Recent studies have utilized techniques such as fluorescence-activated cell sorting, lineage tracing, and single-cell sequencing to investigate the involvement of SSCs in bone development, homeostasis, and disease. These investigations have allowed researchers to map the lineage commitment trajectory of SSCs in different parts of the body and at different time points. Furthermore, recent studies have shed light on the characteristics of SSCs in both physiological and pathological conditions. This review focuses on discussing the spatiotemporal distribution of SSCs and enhancing our understanding of the diversity and plasticity of SSCs by summarizing recent discoveries.
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Desenvolvimento Ósseo , Homeostase , Células-Tronco , Humanos , Animais , Células-Tronco/citologia , Células-Tronco/metabolismo , Osso e Ossos/citologia , Osso e Ossos/metabolismoRESUMO
Loss of refreshment in nucleus pulposus (NP) cellularity leads to intervertebral disc (IVD) degeneration. Nevertheless, the cellular sequence of NP cell differentiation remains unclear, although an increasing body of literature has identified markers of NP progenitor cells (NPPCs). Notably, due to their fragility, the physical enrichment of NP-derived cells has limited conventional transcriptomic approaches in multiple studies. To overcome this limitation, a spatially resolved transcriptional atlas of the mouse IVD is generated via the 10x Genomics Visium platform dividing NP spots into two clusters. Based on this, most reported NPPC-markers, including Cathepsin K (Ctsk), are rare and predominantly located within the NP-outer subset. Cell lineage tracing further evidence that a small number of Ctsk-expressing cells generate the entire adult NP tissue. In contrast, Tie2, which has long suggested labeling NPPCs, is actually neither expressed in NP subsets nor labels NPPCs and their descendants in mouse models; consistent with this, an in situ sequencing (ISS) analysis validated the absence of Tie2 in NP tissue. Similarly, no Tie2-cre-mediated labeling of NPPCs is observed in an IVD degenerative mouse model. Altogether, in this study, the first spatial transcriptomic map of the IVD is established, thereby providing a public resource for bone biology.
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Núcleo Pulposo , Células-Tronco , Transcriptoma , Animais , Camundongos , Núcleo Pulposo/metabolismo , Núcleo Pulposo/citologia , Células-Tronco/metabolismo , Transcriptoma/genética , Diferenciação Celular/genética , Degeneração do Disco Intervertebral/genética , Degeneração do Disco Intervertebral/metabolismo , Perfilação da Expressão Gênica/métodos , Modelos Animais de DoençasRESUMO
BACKGROUND: Multiple animal models have previously been utilized to investigate anterior fusion techniques, but a mouse model has yet to be developed. The purpose of this study was to develop murine anterior interbody and posterolateral fusion techniques. METHODS: Mice underwent either anterior interbody or posterolateral spinal fusion. A protocol was developed for both procedures, including a description of the relevant anatomy. Samples were subjected to micro-computed tomography to assess fusion success and underwent biomechanical testing with use of 4-point bending. Lastly, samples were fixed and embedded for histologic evaluation. RESULTS: Surgical techniques for anterior interbody and posterolateral fusion were developed. The fusion rate was 83.3% in the anterior interbody model and 100% in the posterolateral model. Compared with a control, the posterolateral model exhibited a greater elastic modulus. Histologic analysis demonstrated endochondral ossification between bridging segments, further confirming the fusion efficacy in both models. CONCLUSIONS: The murine anterior interbody and posterolateral fusion models are efficacious and provide an ideal platform for studying the molecular and cellular mechanisms mediating spinal fusion. CLINICAL RELEVANCE: Given the extensive genetic tools available in murine disease models, use of fusion models such as ours can enable determination of the underlying genetic pathways involved in spinal fusion.
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Vértebras Lombares , Fusão Vertebral , Animais , Camundongos , Vértebras Lombares/cirurgia , Fusão Vertebral/métodos , Microtomografia por Raio-X , Osteogênese , Modelos Animais de DoençasRESUMO
Large language model (LLM) chatbots possess a remarkable capacity to synthesize complex information into concise, digestible summaries across a wide range of orthopedic subject matter. As LLM chatbots become widely available they will serve as a powerful, accessible resource that patients, clinicians, and researchers may reference to obtain information about orthopedic science and clinical management. Here, we examined the performance of three well-known and easily accessible chatbots-ChatGPT, Bard, and Bing AI-in responding to inquiries relating to clinical management and orthopedic concepts. Although all three chatbots were found to be capable of generating relevant responses, ChatGPT outperformed Bard and BingAI in each category due to its ability to provide accurate and complete responses to orthopedic queries. Despite their promising applications in clinical management, shortcomings observed included incomplete responses, lack of context, and outdated information. Nonetheless, the ability for these LLM chatbots to address these inquires has largely yet to be evaluated and will be critical for understanding the risks and opportunities of LLM chatbots in orthopedics.
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Ortopedia , Humanos , Inteligência ArtificialRESUMO
In the complex tumor microenvironment (TME), mesenchymal cells are key players, yet their specific roles in prostate cancer (PCa) progression remain to be fully deciphered. This study employs single-cell RNA sequencing to delineate molecular changes in tumor stroma that influence PCa progression and metastasis. Analyzing mesenchymal cells from four genetically engineered mouse models (GEMMs) and correlating these findings with human tumors, we identify eight stromal cell populations with distinct transcriptional identities consistent across both species. Notably, stromal signatures in advanced mouse disease reflect those in human bone metastases, highlighting periostin's role in invasion and differentiation. From these insights, we derive a gene signature that predicts metastatic progression in localized disease beyond traditional Gleason scores. Our results illuminate the critical influence of stromal dynamics on PCa progression, suggesting new prognostic tools and therapeutic targets.