The contribution of inflammation to the chronic joint disease osteoarthritis (OA) is unclear, and this lack of clarity is detrimental to efforts to identify therapeutic targets. Here we show that chondrocytes under inflammatory conditions undergo a metabolic shift that is regulated by NF-κB activation, leading to reprogramming of cell metabolism towards glycolysis and lactate dehydrogenase A (LDHA). Inflammation and metabolism can reciprocally modulate each other to regulate cartilage degradation. LDHA binds to NADH and promotes reactive oxygen species (ROS) to induce catabolic changes through stabilization of IκB-ζ, a critical pro-inflammatory mediator in chondrocytes. IκB-ζ is regulated bi-modally at the stages of transcription and protein degradation. Overall, this work highlights the function of NF-κB activity in the OA joint as well as a ROS promoting function for LDHA and identifies LDHA as a potential therapeutic target for OA treatment.

Significance: Osteoarthritis is a common debilitating joint disease that affects millions in the United States and for which there are few therapeutic options. Critical barriers to the successful development of osteoarthritis treatment include limited understanding of the pathways governing early cartilage degradation and ineffective delivery of therapeutic agents to the resident chondrocytes in the avascular cartilage. Using a peptidic nanoparticle carrying siRNA that specifically suppresses NF-κB, we show that early antiinflammatory intervention reduces chondrocyte death caused by joint injury, a known predisposing factor for osteoarthritis. The peptidic nanoparticle deeply penetrates human cartilage to deliver its therapeutic cargo to the chondrocytes, demonstrating its ability to permeate the dense cartilage matrix. This approach promises to overcome the barriers to effectively treat osteoarthritis.

The hypothesis that gene expression in meniscal tears varies depending on patient age and sex and whether the anterior cruciate ligament (ACL) is also torn. Methods: Meniscal tissue from twenty-eight patients with an isolated meniscal tear or a meniscal tear with a concomitant ACL tear was collected at the time of clinically indicated partial meniscectomy. Messenger RNA (mRNA) expression was examined by quantitative real-time polymerase chain reaction for molecular markers of osteoarthritis including proinflammatory cytokines (interleukin [IL]-1α, IL-1β, IL-6, and tumor necrosis factor-alpha [TNFα]), chemokines (IL-8, CCL3, CCL3L1, CXCL1, CXCL3, CXCL6, and CCL20), aggrecanases (ADAMTS-4 [a disintegrin and metalloproteinase with thrombospondin type-4 motifs] and ADAMTS-5), matrix metalloproteinases (MMP-1, MMP-3, MMP-9, and MMP-13), transcription factors (NFκB2 [nuclear factor kappa B2], NFκBIA [NF-kappa B inhibitor alpha], and IκBA [inhibitor of kappa B alpha]), and matrix components (bone morphogenetic protein [BMP]-2, type-I collagen alpha 1 [Col1a1], Col2a1, and aggrecan). Results: Expression of IL-1β (p = 0.02), ADAMTS-5 (p = 0.001), MMP-1 (p = 0.007), MMP-9 (p = 0.002), MMP-13 (p = 0.01), and NFκB2 (p = 0.01) was significantly higher in patients with a meniscal tear who were under the age of forty years than it was in those over the age of forty years. Similarly, the expression of ADAMTS-4 (p = 0.002), ADAMTS-5 (p = 0.02), MMP-1 (p = 0.02), and MMP-13 (p = 0.0002) was higher in patients with a meniscal tear and an ACL tear who were under the age of forty years than it was in those over forty years. In patients with a meniscal tear and an ACL tear, the expression of IL-1β (p = 0.01), TNFα (p = 0.02), MMP-13 (p = 0.004), CCL3 (p = 0.03), and CCL3L1 (p = 0.03) was significantly higher, while that of aggrecan (p = 0.03) was lower, than that in patients with a meniscal tear alone. The only sex-based difference in gene expression was higher levels of CCL3L1 in female patients (p < 0.05) of all ages with combined injuries. Conclusions and Clinical Relevance: These findings suggest clinically relevant differences in the response of the knee to meniscal tears on the basis of patient age and sex. Elevated expression levels of arthritis-related markers indicate an increased catabolic response in patients under forty years old. Higher expression of catabolic markers in patients with meniscal and ACL tears suggests this combined injury pattern is more likely to lead to the development of osteoarthritis. Catabolic activity in meniscal tissue may predict patients who are at risk for progression of osteoarthritis following partial meniscectomy....

Microarrays and RNA‐seq are at the forefront of high throughput transcriptome analyses. Since these methodologies are based on different principles, there are concerns about the concordance of data between the two techniques. The concordance of RNA‐seq and microarrays for genome‐wide analysis of differential gene expression has not been rigorously assessed in clinically derived ligament tissues. To demonstrate the concordance between RNA‐seq and microarrays and to assess potential benefits of RNA‐seq over microarrays, we assessed differences in transcript expression in anterior cruciate ligament (ACL) tissues based on time‐from‐injury. ACL remnants were collected from patients with an ACL tear at the time of ACL reconstruction. RNA prepared from torn ACL remnants was subjected to Agilent microarrays (N = 24) and RNA‐seq (N = 8). The correlation of biological replicates in RNA‐seq and microarrays data was similar (0.98 vs. 0.97), demonstrating that each platform has high internal reproducibility. Correlations between the RNA‐seq data and the individual microarrays were low, but correlations between the RNA‐seq values and the geometric mean of the microarrays values were moderate. The cross‐platform concordance for differentially expressed transcripts or enriched pathways was linearly correlated (r = 0.64). RNA‐Seq was superior in detecting low abundance transcripts and differentiating biologically critical isoforms. Additional independent validation of transcript expression was undertaken using microfluidic PCR for selected genes. PCR data showed 100% concordance (in expression pattern) with RNA‐seq and microarrays data. These findings demonstrate that RNA‐seq has advantages over microarrays for transcriptome profiling of ligament tissues when available and affordable. Furthermore, these findings are likely transferable to other musculoskeletal tissues where tissue collection is challenging and cells are in low abundance. © 2017 Orthopaedic Research Society. Published by Wiley Periodicals, Inc. J Orthop Res 36:484–497, 2018.

Osteoarthritis (OA), the most common form of arthritis, is associated with joint malfunction and chronic disability in the aged population. It is a multifactorial disorder to which several factors−such as age, sex, trauma, and obesity−contribute significantly. Obesity is one of the most influential but modifiable risk factors because it exerts an increased mechanical stress on the tibiofemoral cartilage. However, the high prevalence of OA in obese individuals in non-weightbearing areas, like finger joints, suggests that the link between being overweight and OA lies with factors other than simple biomechanics. An important correlation has been made between obesity and inflammation. Adipose tissues (and the infrapatellar fat pad) play an important role in this context because they are the major source of cytokines, chemokines, and metabolically active mediators called adipokines (or adipocytokines). These metabolic factors are known to possess catabolic and proinflammatory properties and to orchestrate the pathophysiological processes in OA. This review provides information on the relationship between obesity and OA through biomechanical and biochemical factors and highlights the functions of important obesity-related inflammatory products in the initiation and progression of OA. This information will broaden our thinking in identifying the targets for both prevention and intervention for OA.