Increasing attention to liver-bone crosstalk has spurred interest in targeted interventions for various forms of osteoporosis. Liver injury induced by different liver diseases can cause an imbalance in bone metabolism, indicating a novel regulatory paradigm between the liver and bone. However, the role of the liver-bone axis in both primary and secondary osteoporosis remains inadequately elucidated. Therefore, exploring the exact regulatory mechanisms of the liver-bone axis may offer innovative clinical approaches for treating diseases associated with the liver and bone.
Here, we summarize the latest research on the liver-bone axis by searching the PubMed and Web of Science databases and discuss the possible mechanism of the liver-bone axis in different types of osteoporosis. The literature directly reporting the regulatory role of the liver-bone axis in different types of osteoporosis from the PubMed and Web of Science databases has been included in the discussion of this review (including but not limited to the definition of the liver-bone axis, clinical studies, and basic research). In addition, articles discussing changes in bone metabolism caused by different etiologies of liver injury have also been included in the discussion of this review (including but not limited to clinical studies and basic research).
Several endocrine factors (IGF-1, FGF21, hepcidin, vitamin D, osteocalcin, OPN, LCAT, Fetuin-A, PGs, BMP2/9, IL-1/6/17, and TNF-α) and key genes (SIRT2, ABCB4, ALDH2, TFR2, SPTBN1, ZNF687 and SREBP2) might be involved in the regulation of the liver-bone axis. In addition to the classic metabolic pathways involved in inflammation and oxidative stress, iron metabolism, cholesterol metabolism, lipid metabolism and immunometabolism mediated by the liver-bone axis require more research to elucidate the regulatory mechanisms involved in osteoporosis.
During primary and secondary osteoporosis, the liver-bone axis is responsible for liver and bone homeostasis via several hepatokines and osteokines as well as biochemical signaling. Combining multiomics technology and data mining technology could further advance our understanding of the liver-bone axis, providing new clinical strategies for managing liver and bone-related diseases.
The translational potential of this article is as follows: Abnormal metabolism in the liver could seriously affect the metabolic imbalance of bone. This review summarizes the indispensable role of several endocrine factors and biochemical signaling pathways involved in the liver-bone axis and emphasizes the important role of liver metabolic homeostasis in the pathogenesis of osteoporosis, which provides novel potential directions for the prevention, diagnosis, and treatment of liver and bone-related diseases.
In healthy articular cartilage, chondrocytes are found along arcades of collagen fibers as Single Strings. With onset of cartilage degeneration this pattern changes to Double Strings. In the course of osteoarthritis Small Clusters, and finally Big Clusters form. In highly degenerated articular cartilage, another poorly understood pattern is found where chondrocyte morphology differs considerably, and the distribution of cells is diffuse. Progression of osteoarthritis is accompanied by key processes such as chondrocyte proliferation, apoptosis, hypertrophic differentiation, inflammation, and angiogenesis. The aim of this exploratory study was to identify biomarkers for these processes in the context of spatial cellular organizational changes in articular cartilage.
Cartilage explants (n = 166 patients) were sorted according to their predominant cellular pattern. Quantitative or semi-quantitative analysis of 39 biomarkers were performed by multiplex assay (31) or ELISA (8), and qualitative analysis on 12 immunohistochemical markers.
Hypertrophic differentiation (e.g. type-X collagen, osteopontin, osteocalcin and interleukin-6) and angiogenesis were associated with changes in chondrocyte organisation. First changes take place already at the transition from Single Strings to Double Strings. Drastic changes in the appearance of numerous biomarkers are found at the transition from Big Clusters to Diffuse.
Key processes in osteoarthritis and their biomarkers seem to depend on the spatial distribution of chondrocytes in articular cartilage. Abrupt changes in biomarker occurrence were observed between Big Clusters and Diffuse insinuating that the Diffuse pattern is composed of a different cell population or at least a different form of chondrocyte morphology.
In situ identification of the different spatial chondrocyte patterns by fluorescence microscopy has already been established in the recent past. Analysing human in-situ cartilage explants rather than isolated OA chondrocytes closes the gap between in vitro and in vivo studies and as such, stretches a big step towards translation of the observed findings. The direct association between tissue biomarker profile and cellular arrangements representing different states of OA sheds new light on the molecular and cellular physiopathology, especially in the context of larger processes such as angiogenesis, cellular proliferation, differentiation, and apoptosis. This also opens an interesting perspective for future investigation of such biomarkers and processes in clinical studies.
Advanced cell therapies emerged as promising candidates for treatment of knee articular diseases, but robust evidence regarding their clinical applicability is still lacking.
To assess the efficacy and safety of advanced mesenchymal stromal cells (MSC) therapy for knee osteoarthritis (OA) and chondral lesions.
Systematic review of randomized controlled trials conducted in accordance with Cochrane Handbook and reported following PRISMA checklist. GRADE approach was used for assessing the evidence certainty.
25 randomized controlled trials that enrolled 1048 participants were included. Meta-analyses data showed that, compared to viscosupplementation (VS), advanced MSC therapy resulted in a 1.91 lower pain VAS score (95 % CI ‐3.23 to −0.59; p < 0.00001) for the treatment of knee OA after 12 months. Compared to placebo, the difference was 0.99 lower pain VAS points (95 % CI ‐1.94 to −0.03; p = 0.76). According to the GRADE approach, the evidence was very uncertain for both comparisons. By excluding studies with high risk of bias, there was a similar size of effect (VAS MD ‐1.54, 95 % CI ‐2.09 to −0.98; p = 0.70) with improved (moderate) certainty of evidence, suggesting that MSC therapy probably reduces pain slightly better than VS. Regarding serious adverse events, there was no difference from advanced MSC therapy to placebo or to VS, with very uncertain evidence.
Advanced MSC therapy resulted in lower pain compared to placebo or VS for the treatment of knee OA after 12 months, with no difference in adverse events. However, the evidence was considered uncertain.
Currently, there is a lack of studies with good methodological structure aiming to evaluate the real clinical impact of advanced cell therapy for knee OA. The present study was well structured and conducted, with Risk of Bias, GRADE certainty assessment and sensitivity analysis. It explores the translational aspect of the benefits and safety of MSC compared with placebo and gold-standard therapy to give practitioners and researchers support to expand this therapy in their practice.
CRD42020158173. Access at https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=158173.
In the recent decade, there has been substantial progress in the technologies and philosophies associated with diagnosing and treating anterior cruciate ligament (ACL) injuries in China. The therapeutic efficacy of ACL reconstruction in re-establishing the stability of the knee joint has garnered widespread acknowledgment. However, the path toward standardizing diagnostic and treatment protocols remains to be further developed and refined.
In this context, the Chinese Association of Orthopaedic Surgeons (CAOS) and the Chinese Society of Sports Medicine (CSSM) collaboratively developed an expert consensus on diagnosing and treating ACL injury, aiming to enhance medical quality through refining professional standards.
The consensus drafting team invited experts across the Greater China region, including the mainland, Hong Kong, Macau, and Taiwan, to formulate and review the consensus using a modified Delphi method as a standardization approach. As members of the CSSM Lower Limb Study Group and the CAOS Arthroscopy and Sports Medicine Study Group, invited experts concentrated on two pivotal issues: “Graft Selection” and “Clinical Outcome Evaluation” during the second part of the consensus development.
This focused discussion ultimately led to a strong consensus on nine specific consensus terms.
The consensus clearly states that ACL reconstruction has no definitive “gold standard” graft choice. Autografts have advantages in healing capability but are limited in availability and have potential donor site morbidities; allografts reduce surgical trauma but incur additional costs, and there are concerns about slow healing, quality control issues, and a higher failure rate in young athletes; synthetic ligaments allow for early rehabilitation and fast return to sport, but the surgery is technically demanding and incurs additional costs. When choosing a graft, one should comprehensively consider the graft's characteristics, the doctor's technical ability, and the patient's needs. When evaluating clinical outcomes, it is essential to ensure an adequate sample size and follow-up rate, and the research should include patient subjective scoring, joint function and stability, complications, surgical failure, and the return to sport results. Medium and long-term follow-ups should not overlook the assessment of knee osteoarthritis.
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