Abstract:Kashin-Beck disease (KBD) is an endemic chronic osteochondral disease, which has a high prevalence and morbidity in the Eastern Siberia of Russia, and in the broad diagonal, northern-east to southern-west belt in China and North Korea. In 1990's, it was estimated that in China 1-3 million people had some degree of symptoms of the disease, although even higher estimates have been presented. In China, the extensive prevalence peaked in the late 1950's, but since then, in contrast to the global trend of the osteo… Show more
“…KBD primarily occurs in the northeast and southwest regions of China where selenium deficiency has been associated with the disease pathogenesis (4). To date, there are more than 0.66 million KBD patients in China, while less than 30 million residents are at risk in endemic areas (4,5).…”
Section: Introductionmentioning
confidence: 99%
“…At present, diagnosis of KBD remains to be based on clinic manifestations and X-ray changes of metaphyseal (5). KBD may be classed as early, stage І, II and III, according to the severity (6).…”
Abstract. The aim of the present study was to investigate the early diagnostic biomarkers of Kashin-Beck disease (KBD), and to compare the common signaling pathways of peripheral mononuclear cells between patients with KBD and those with osteoarthritis (OA). A total of 20 and 12 peripheral blood samples were separately collected from KBD patients and normal control subjects, respectively, in an endemic area according to the diagnosis criteria. Total RNAs were extracted and gene expression levels were determined using an Agilent whole genome expression microarrays. The gene expression data of OA were obtained from GEO published database. Significant different pathways between KBD and OA were analyzed using Ingenuity Pathway Analysis software. A total of 82 differentially expressed genes, 51 significant different signaling pathways and five significant biological functions were identified in KBD patient samples, while 89, 50 and five significantly different genes, pathways and functions were identified in OA. Nine common significant pathways and five common differentially expressed genes were identified between the KBD and OA. Nine common significant pathways and five common differentially expressed genes were found between the two diseases. The present results suggest that there are similarities in vascular microcirculation, immunoreactions and cell apoptosis between KBD and OA, which may contribute to the early diagnosis and pathogenetic study of KBD.
“…KBD primarily occurs in the northeast and southwest regions of China where selenium deficiency has been associated with the disease pathogenesis (4). To date, there are more than 0.66 million KBD patients in China, while less than 30 million residents are at risk in endemic areas (4,5).…”
Section: Introductionmentioning
confidence: 99%
“…At present, diagnosis of KBD remains to be based on clinic manifestations and X-ray changes of metaphyseal (5). KBD may be classed as early, stage І, II and III, according to the severity (6).…”
Abstract. The aim of the present study was to investigate the early diagnostic biomarkers of Kashin-Beck disease (KBD), and to compare the common signaling pathways of peripheral mononuclear cells between patients with KBD and those with osteoarthritis (OA). A total of 20 and 12 peripheral blood samples were separately collected from KBD patients and normal control subjects, respectively, in an endemic area according to the diagnosis criteria. Total RNAs were extracted and gene expression levels were determined using an Agilent whole genome expression microarrays. The gene expression data of OA were obtained from GEO published database. Significant different pathways between KBD and OA were analyzed using Ingenuity Pathway Analysis software. A total of 82 differentially expressed genes, 51 significant different signaling pathways and five significant biological functions were identified in KBD patient samples, while 89, 50 and five significantly different genes, pathways and functions were identified in OA. Nine common significant pathways and five common differentially expressed genes were identified between the KBD and OA. Nine common significant pathways and five common differentially expressed genes were found between the two diseases. The present results suggest that there are similarities in vascular microcirculation, immunoreactions and cell apoptosis between KBD and OA, which may contribute to the early diagnosis and pathogenetic study of KBD.
“…Unlike other bone and joint diseases, for example, rheumatoid arthritis (RA), osteoarthritis (OA), reactive arthritis, and even septic arthritis, KBD showed obvious geographical features [1]. The characteristics of KBD are articular cartilage damage and chondrocytes apoptosis.…”
Section: Introductionmentioning
confidence: 99%
“…The characteristics of KBD are articular cartilage damage and chondrocytes apoptosis. KBD can affect many joints, and the most commonly affected joints are the knee, ankle, and hand [1,2]. Early investigations of KBD etiology and pathogenesis mainly focused on the effects of the endemic factors, such as selenium deficiency, cereal contamination by mycotoxin, and high humic acid levels in drinking water [2].…”
Kashin-Beck disease (KBD), a particular type of osteoarthritis (OA), and an endemic disease with articular cartilage damage and chondrocytes apoptosis, can affect many joints, and the most commonly affected joints are the knee, ankle, and hand. KBD has traditionally been classified as a non-inflammatory OA. However, recent studies have shown that inflammation has played an important role in the development of KBD. Nowadays, clinical KBD is not only an endemic disease, but also a combined result of many other non-endemic factors, which contains age, altered biomechanics, joint trauma and secondary OA. The characteristics of the developmental joint failure of advanced KBD, because of the biochemical and mechanical processes, are tightly linked with the interaction of joint damage and its immune response, as well as the subsequent state of chronic inflammation leading to KBD progression. In this review, we focus on the epidemiology, pathology, imaging, cytokines and transduction pathways investigating the association of inflammation with KBD; meanwhile, a wide range of data will be discussed to elicit our current hypotheses considering the role of inflammation and immune activation in KBD development.
“…Fortunately, the incidence of KBD in children has fallen considerably over the past decades after comprehensive prevention measures. Nonetheless, 640,000 adults with KBD require treatment [4].…”
The objective of this study was to evaluate the reliability and validity of the joint dysfunction index (JDI) for assessment of therapeutic efficacy for Kashin-Beck disease (KBD). In an initial survey, completed questionnaires were obtained from 276 of 281 patients (98.2 %). A follow-up survey was completed with 64 KBD patients among 276 cases. A third survey selected 60 KBD patients who underwent intra-articular injection of sodium hyaluronate in the knees ascertained from the findings of the second questionnaire. Reliability was assessed using test-retest, "split-half" reliability and Cronbach's alpha coefficient. Factor analysis and item-to-domain correlation were used to analyze validity. The coefficient of variation (CV) was used to measure the sensitivity of scale. Feasibility assessment included consideration of completion time, rate of recovery, and time of completion. Reliability analysis comprised a test-retest correlation coefficient of 0.404-0.546 and a kappa test of 0.404-0.546. Internal consistency analysis comprised a Cronbach alpha coefficient of 0.689 and a split-half coefficient of 0.677. Principal component factor analysis for validity testing extracted a common factor with a cumulative variance contribution of 45.44 %. The JDI score from 276 KBD cases revealed no significant difference associated with age, gender, education, or the body mass index. Sensitivity analysis showed that there was no significant difference between pre-treatment and post-treatment values, with a CV of 96.55-172.06 %. In conclusion, the JDI can be used to evaluate the efficacy of agents used to treat KBD.
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