B‐cell lymphoma‐3 controls mesenchymal stem cell commitment and senescence during skeletal aging

Wang, Fuxiao; Guo, Jiawei; Wang, Sicheng; Wang, Yili; Chen, Jiao; Yan, Hu; Zhang, Hao; Xu, Ke; Wei, Yan; Cao, Liehu; Chen, Xiao; Jing, Yingying; Su, Jiacan

doi:10.1002/ctm2.955

Cited by 16 publications

(17 citation statements)

References 10 publications

(12 reference statements)

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“…Articular cartilage transmits mechanical stress and aids in joint motion by providing an elastic and lubricated surface overlying the articular bone 36 . It is a layer of avascular, nerve-free connective tissue composed of chondrocytes and extracellular matrix (ECM) 35 , 37 . Chondrocytes regulate the composition of the ECM through their own anabolism and catabolism, which constitute the most basic cellular units of cartilage homeostasis 38 .…”

Section: Physiopathology Of Osteoarthritismentioning

confidence: 99%

Targeted and responsive biomaterials in osteoarthritis

Li¹,

Zhang²,

Han³

et al. 2023

Theranostics

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Osteoarthritis (OA) is a degenerative disease characterized by loss of articular cartilage and chronic inflammation, involving multiple cellular dysfunctions and tissue lesions. The non-vascular environment and dense cartilage matrix in the joints tend to block drug penetration, resulting in low drug bioavailability. There is a desire to develop safer and more effective OA therapies to meet the challenges of an aging world population in the future. Biomaterials have achieved satisfactory results in improving drug targeting, prolonging the duration of action, and achieving precision therapy. This article reviews the current basic understanding of the pathological mechanisms and clinical treatment dilemmas of OA, summarizes and discusses the advances for different kinds of targeted and responsive biomaterials in OA, seeking to provide new perspectives for the treatment of OA. Subsequently, limitations and challenges in clinical translation and biosafety are analyzed to guide the development of future therapeutic strategies for OA. As the need for precision medicine rises over time, emerging multifunctional biomaterials based on tissue targeting and controlled release will become an irreplaceable part of OA management.

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Section: Physiopathology Of Osteoarthritismentioning

confidence: 99%

Targeted and responsive biomaterials in osteoarthritis

Li¹,

Zhang²,

Han³

et al. 2023

Theranostics

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“…Chou et al also identified a subcluster–reparative chondrocytes indicate a high reparative ability 70 . The so‐called cartilage progenitor cells (CPCs) have already been identified and characterized that expressed stem‐cell‐related surface markers (BIRC5, CENPU, UNE2C, DHFR and STMN1) 80,81 . scRNA‐seq help to reveal the origin and functional properties of CPCs and specifically discovered its markers for further study.…”

Section: Elucidating Molecular Mechanisms Of Osteoarthritismentioning

confidence: 99%

Single‐cell RNA sequencing in osteoarthritis

Gu,

Hu,

Zhang

et al. 2023

Cell Proliferation

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Osteoarthritis is a progressive and heterogeneous joint disease with complex pathogenesis. The various phenotypes associated with each patient suggest that better subgrouping of tissues associated with genotypes in different phases of osteoarthritis may provide new insights into the onset and progression of the disease. Recently, single‐cell RNA sequencing was used to describe osteoarthritis pathogenesis on a high‐resolution view surpassing traditional technologies. Herein, this review summarizes the microstructural changes in articular cartilage, meniscus, synovium and subchondral bone that are mainly due to crosstalk amongst chondrocytes, osteoblasts, fibroblasts and endothelial cells during osteoarthritis progression. Next, we focus on the promising targets discovered by single‐cell RNA sequencing and its potential applications in target drugs and tissue engineering. Additionally, the limited amount of research on the evaluation of bone‐related biomaterials is reviewed. Based on the pre‐clinical findings, we elaborate on the potential clinical values of single‐cell RNA sequencing for the therapeutic strategies of osteoarthritis. Finally, a perspective on the future development of patient‐centred medicine for osteoarthritis therapy combining other single‐cell multi‐omics technologies is discussed. This review will provide new insights into osteoarthritis pathogenesis on a cellular level and the field of applications of single‐cell RNA sequencing in personalized therapeutics for osteoarthritis in the future.

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“…Six trajectories maintained the H-bond between eugenol and Ser113 for 1-20 ns. From the 20 ns H-bond trajectory (Supplementary Figure S2), the root-mean-square fluctuation (RMSF), the dynamic crosscorrelation map (DCCM) [23][24][25][26][27], and the time-dependent dynamic cross-correlation (TDDCC) were calculated.…”

Section: MD Simulation Of Holo Formmentioning

confidence: 99%

Molecular dynamics simulation analysis of structural dynamic cross correlation induced by odorant hydrogen-bonding in mouse eugenol olfactory receptor^*

Okamoto,

Ando

2023

Preprint

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Structural fluctuations and dynamic cross-correlations in the mouse eugenol olfactory receptor (Olfr73) were studied by molecular dynamics (MD) simulation. We focused on the hydrogen (H) bond of the odorant eugenol to Ser113, Asn207, and Tyr260 of the receptor protein, the importance of which has been suggested by previous experimental studies. The H-bond was not observed in docking simulations, but in subsequent MD simulations the H-bond to Ser113 was formed in 2–4 ns. The lifetime of the H-bond was in the range of 1–20 ns. On the trajectory with the most stable (20 ns) H-bond, the structural fluctuation of the α-carbon atoms of the receptor main chain was studied by calculating the root-mean-square fluctuations, the dynamic cross-correlation map, and the time-dependent dynamic cross-correlation. The analysis suggested a correlation transfer pathway Ser113 → Phe182 → (Leu259 or Tyr260) → Tyr291 induced by the ligand binding with a time scale of 4–6 ns.

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B‐cell lymphoma‐3 controls mesenchymal stem cell commitment and senescence during skeletal aging

Cited by 16 publications

References 10 publications

Targeted and responsive biomaterials in osteoarthritis

Targeted and responsive biomaterials in osteoarthritis

Single‐cell RNA sequencing in osteoarthritis

Molecular dynamics simulation analysis of structural dynamic cross correlation induced by odorant hydrogen-bonding in mouse eugenol olfactory receptor^*

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B‐cell lymphoma‐3 controls mesenchymal stem cell commitment and senescence during skeletal aging

Cited by 16 publications

References 10 publications

Targeted and responsive biomaterials in osteoarthritis

Targeted and responsive biomaterials in osteoarthritis

Single‐cell RNA sequencing in osteoarthritis

Molecular dynamics simulation analysis of structural dynamic cross correlation induced by odorant hydrogen-bonding in mouse eugenol olfactory receptor*

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Product

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Molecular dynamics simulation analysis of structural dynamic cross correlation induced by odorant hydrogen-bonding in mouse eugenol olfactory receptor^*