Search tips
Search criteria 


Logo of bmcmudisBioMed Centralsearchsubmit a manuscriptregisterthis articleBMC Musculoskeletal Disorders
BMC Musculoskelet Disord. 2012; 13: 130.
Published online 2012 July 24. doi:  10.1186/1471-2474-13-130
PMCID: PMC3416648

Expression profile analysis of mycotoxin-related genes in cartilage with endemic osteochondropathy kashin-beck disease



Kashin-Beck Disease (KBD) is an endemic osteochondropathy. Mycotoxins are believed to play an important role in the pathogenesis of KBD. Because the molecular mechanism of mycotoxin-induced cartilage lesions remains unclear, there is not effective treatment for KBD now. To identify key genes involved in the mycotoxin-induced cartilage lesions, we compared the expression profiles of mycotoxin-related genes (MRG) between KBD cartilage and healthy cartilage.


Total RNA was isolated from cartilage samples, following by being amplified, labeled and hybridized to Agilent human whole genome microarray chip. qRT-PCR was conducted to validate the microarray data. 1,167 MRG were derived from the environmentally related genomic database Toxicogenomics. The microarray data of MRG was subjected to single gene and gene ontology (GO) expression analysis for identifying differently expressed genes and GO.


We identified 7 up-regulated MRG and 2 down-regulated MRG in KBD cartilage, involved in collagen, apoptosis, metabolism and growth & development. GO expression analysis found that 4 apoptosis-related GO and 5 growth & development-related GO were significantly up-regulated in KBD cartilage.


Based on the results of previous and our studies, we suggest that mycotoxins might contribute to the development of KBD through dysfunction of MRG involved in collagen, apoptosis and growth & development in cartilage.

Keywords: Kashin-beck disease, Mycotoxins, Microarray


Kashin-Beck Disease (KBD) is an endemic osteochondropathy characterized by serious articular cartilage necrosis [1]. More than 2.5 million people suffer from KBD and about 30 million people are at the risk of KBD in China [2]. KBD usually occurs in the children aged 3–15 years with patients exhibiting short stature and joint deformities [1,3]. With age, secondary osteoarthritis and deformities of multiple joints will become evident in KBD patients [1,4]. KBD results in significant reduction of patients’ quality of life as well as heavy medical and financial burdens to local governments in China.

Various environmental etiologic hypotheses were proposed for KBD, such as selenium deficiency and cereal contamination by mycotoxins [4-7]. Mycotoxins are believed to play an important role in the pathogenesis of KBD [5]. Previous studies observed significant cytotoxicity of mycotoxins in cartilage [8-11]. However, the molecular mechanism of mycotoxin-induced cartilage lesions in KBD remains unclear, which make it difficult to develop efficient treatments for KBD. Most of current treatments of KBD focus on releasing the pains from secondary osteoarthritis and correcting joint deformities through surgery [12]. Understanding the molecular mechanism of mycotoxin-induced cartilage lesions is the key to develop effective treatments for KBD.

With the rapid development of high-throughput technologies, comparing genome-wide gene expression profiles between case and control groups become possible now. Significantly differentially expressed genes are likely to involve in the development of target diseases, and provide insight for revealing potential pathogenesis. To identify the key genes contributing to mycotoxin-induced cartilage lesions in KBD, we compared the expression profiles of 1,167 mycotoxin-related genes (MRG) between KBD cartilage and healthy cartilage. Both single gene and gene set expression analysis [13,14] were conducted to identify differently expressed MRG and gene ontology(GO). To the best of our knowledge, this study is the first MGR expression analysis of KBD. Our results may help to unravel the molecular mechanism of mycotoxin-induced cartilage lesions in KBD.


All studies were approved by the Institutional Review Boards of Xi’an Jiaotong University. Informed-consent documents were written by all KBD patients and the relatives of donors.

Cartilage sample collection

Articular cartilage specimens were collected from 9 adult KBD patients and 9 adult normal controls, respectively (Table (Table1).1). All study subjects were Chinese Han. There were 100 randomly selected patients with serious KBD undergoing free knee replacement surgery every year at Shaanxi province of China. Our 9 KBD patients were randomly selected from the KBD patients undergoing free knee replacement surgery, and came from the KBD prevalent areas-Linyou county and Yongshou county at Shaanxi province. According to the KBD clinical diagnosis criteria of China (Diagnostic code GB16395-1996), KBD patients were diagnosed with grade II or III KBD based on the radiography and cartilage sections after hematoxylin and eosin (H&E) staining(Figure staining(Figure1)1) [15]. The healthy cartilage was collected from the knees of fresh cadaver within 8 hours of death caused by traffic accidents. All cadaver donors came from non-KBD prevalent areas, and excluded KBD, genetic bone and cartilage diseases, osteoarthritis and rheumatoid arthritis by cartilage section examination with H&E staining. The cartilage specimens were collected from the same anatomic area of femoral condyles of knee. The obtained cartilage specimens were rapidly dissected and frozen in liquid nitrogen, and stored at −80°C until RNA extraction.

Table 1
Characteristics of KBD and control sample pairs
Figure 1
Characteristics of Kashin-Beck disease (KBD). A, Representative KBD patients with grade III KBD(left female patient aged 43 years, middle male patient aged 49 years, right male patient aged 46 years); B&C, Images of hands( ...

RNA preparation

Frozen cartilage specimens were rapidly ground in liquid nitrogen with freezer mill (SPEX CertiPrep, Metuchen, NJ, USA). Using Agilent Total RNA Isolation Mini kit (Agilent Technologies, Santa Clara, CA, USA), total RNA was isolated from cartilage following manufacturer recommended protocol. The quality and integrity of isolated total RNA were evaluated by 1% agarose gel electrophoresis.

Microarray hybridization

The isolated total RNA was first transcribed into aRNA using Amino Allyl MessageAmp aRNA Kit (Applied Biosystems, Austin, TX, USA). The aRNA of KBD patients was labeled with Cy5 fluorescent dye, and the aRNA of healthy controls was labeled with Cy3 fluorescent dye. For each KBD-control pair, 0.5 μg of labeled aRNA was purified separately and mixed together with hybridization buffer before microarray hybridization. The hybridization solution was prepared using In Situ Hybridization Kit Plus (Agilent Technologies). Agilent Human 1A 22 k Whole Genome microarray (G4110B) that contains 22,575 oligonucleotides probes representing 21,073 human genes, was applied in this study. Microarray hybridization was performed in Gene-Machines hybridization chamber (Gene-Machines, San Carlos, CA, USA) following by washing according to Agilent oligonucleotide microarray hybridization protocol. Hybridization signals were recorded by Agilent scanner (G52565BA), and analyzed by Feature Extraction 9.3 (Agilent Technologies) and Spotfire 8.0 (Spotfire Inc., Cambridge, MA, USA) software. The quality of the fluorescent spots on the microarray was evaluated and recorded as present or absent. The fluorescent spots that failed to pass the quality control procedure were excluded for further analysis. Linear and LOWESS normalization were conducted to eliminate possible dye-related bias of the microarray data. The generated files were imported into spreadsheets (Excel, Microsoft Corp., Redmond, WA, USA) for following statistical analysis. Our microarray data are MIAME compliant and have been deposited in a MIAME compliant database ArrayExpress(Accession number:E-MEXP-3196).

Data analysis

To evaluate the expression levels of MRG in KBD cartilage, 1,167 MRG were derived from environmentally related genomic database Toxicogenomics ([16,17]. The expression ratios of the 1,167 MRG were calculated from the microarray data. Significantly differently expressed MRG were defined by expression ratios <0.5 or >2.0.

To further investigate MRG expression patterns of KBD in the context of molecular functions and biological processes, gene set enrichment analysis software was used to identify differently expressed gene ontology(GO) between KBD cartilage and healthy cartilage [13,14]. GSEA is a computational method, which can be used to determine whether a set of functionally related genes present similar expression pattern between case and control groups. GSEA calculates a normalized enrichment score (NES) for each gene set, which reflects the over-represented degree of corresponding gene set in cases compared to controls. The obtained positive and negative NES values indicated the gene set up-regulation and down-regulation in KBD cartilage compared to healthy cartilage, respectively. The gene sets with extreme ES values were suggested to be significantly correlated with study phenotypes by GSEA[13,14]. Gene ontology database 3.0 containing 1,454 GO categories were downloaded from GSEA Website(, and applied in this study. Significantly differently expressed GO were defined as p values  0.05 calculated by GSEA.

qRT-PCR validation

qRT-PCR was conducted to validate our microarray data using an independent sample set (Table (Table1).1). 4 up-regulated and 4 down-regulated genes in microarray experiment were randomly selected for qRT-PCR, including TMSL8, CASP8AP2, PAPSS2, VEGF, POSTN, TACC1, CBR3 and BMF. Total RNA was isolated and prepared in the same way as used by microarray experiment. Superscript II reverse transcriptase (Invitrogen, Carlsbad, CA, USA) was used to convert the isolated total RNA into cDNA. ABI 7500 Real-Time PCR Detection System (Applied Biosystems, Foster City, CA) was applied for amplification and detection of cDNA following manufacturer recommended protocol. Glyceraldehyde-3-phosphate dehydrogenase (GAPDH) was simultaneously assayed by qRT-PCR as an endogenous invariant control. All primer and probe sets were supplied by TaqMan Gene Expression Assays (Applied Biosystems). The expression levels of the 8 genes were normalized to the amount of GAPDH.


Single gene expression analysis

Microarray experiment detected about 55%(mean ± SD 11,928 ± 1134) of all probe sets corresponding to the transcripts recognized as present in each cartilage sample. Small difference was observed between the percentage of transcripts expressed in KBD cartilage and that in healthy cartilage, KBD 53.9 ± 4.6% vs healthy controls 51.8 ± 8.1%.

As shown by Table Table2,2, we identified 10 up-regulated MRG in KBD with an averaged expression ratio 5.23. The 10 up-regulated genes involve in various biological processes, including apoptosis, metabolism, extracellular matrix, growth factor and cytoskeleton & cell movement. Additionally, metabolism-related FABP4 and growth factor-related POSTN showed lower expression levels in KBD cartilage compared to healthy cartilage.

Table 2
Differently expressed MRG between KBD cartilage and healthy cartilage

Gene set expression analysis

GO expression analysis results are presented in Table Table3.3. GSEA detected significant up-regulation of 4 apoptosis-related GO in KBD cartilage, including APOPTOSIS_GO (NES = 0.551), ANTI_APOPTOSIS(NES = 0.450), REGULATION_OF_PROGRAMMED_CELL_DEATH (NES = 0.470) and REGULATION_OF_APOPTOSIS (NES = 0.470) (Additional file 1: Figure S1). Additionally, 5 development-related GO presented higher expression levels in KBD cartilage than in healthy cartilage, including ORGAN_MORPHOGENESIS(NES = 0.663), ORGAN_DEVELOPMENT(NES = 0.511), SYSTEM_DEVELOPMEN(NES = 0.512), ANATOMICAL_STRUCTURE_DEVELOPMENT(NES = 0.506) and REGULATION_OF_DEVELOPMENTAL_PROCESS(NES = 0.473) (Additional file 2: Figure S2).

Table 3
Differently expressed gene ontology between KBD cartilage and healthy cartilage

qRT-PCR validation

As shown by Figure Figure2,2, we observed increased expression levels of TMSL8, CASP8AP2, PAPSS2 and VEGF in KBD cartilage compared to healthy cartilage. The expression levels of POSTN, TACC1, CBR3 and BMF appeared to decrease in KBD cartilage. The expression patterns of the 8 genes were consistent between microarray and qRT-PCR, confirming the validity of our microarray data.

Figure 2
Histogram showing the expression values of the selected 8 genes measured by microarray and qRT-PCR.


In this study, we compared MRG expression profiles between KBD cartilage and healthy cartilage, and identified a set of differently expressed MRG and GO. Based on the results of previous and our studies, we suggested that mycotoxins might contribute to the cartilage lesions of KBD through affecting the expression and biological function of MRG involved in apoptosis, collagen synthesis and growth & development in cartilage.


Excess chondrocyte apoptosis is one of the primary pathological changes of KBD [1,18]. The molecular mechanism underlying abnormal chondrocyte apoptosis in KBD remains unclear now. In this study, we found that apoptosis-related BAX and BCL2 genes were significantly up-regulated in KBD. This result is consistent with that of previous study, which observed excess chondrocyte apoptosis and increased expression of BAX and BCL2 in KBD cartilage compared to healthy cartilage. GO expression analysis further found that 4 apoptosis-related GO were significantly up-regulated in KBD cartilage. BAX and BCL2 are important apoptosis regulatory factors in human body [19]. According to the environmentally related genomic database Toxicogenomics (, the expression and biological function of BAX and BCL2 suffer from the impact of multiple mycotoxins. For instance, it was reported that T-2 toxin was able to induce apoptosis via BAX and BCL-2 mediated apoptosis process [8,20]. Because T-2 toxin was an important environmental risk factors of KBD [1,5], we may infer that T-2 toxin contributed to the cartilage lesions through dysfunction of BAX/BCL2 mediated apoptosis in KBD. Further studies may be necessarily to investigate the role of BAX/BCL2 mediated apoptosis in KBD cartilage damages caused by mycotoxins.

Extracellular matrix

Previous study found that mycotoxins could damage collagen in KBD cartilage [21], but the molecular mechanism was not clear. In this study, we found that collagen gene COL5A2 was significantly up-regulated in KBD cartilage. COL5A2 encodes an alpha chain of type V collagen, which is a minor component of extracellular matrix. It was reported that type V collagen could regulate the initiation of collagen fibril assembly [22]. The lack of type V collagen results in reduction of collagen production and abnormality of collagen structure [22], which were observed in KBD cartilage [23]. Another study found that mycotoxins could alter the expression of COL5A2 in human body [24], which might lead to abnormal collagen production [23]. Therefore, we may infer that the dysfunction of type V collagen regulated collagen production contributed to mycotoxins-induced cartilage lesions in KBD.

We observed that THBS1 gene was significantly down-regulated in OA cartilage compared to KBD cartilage. Another study also found that THBS1 was significantly down-regulated in OA compared to rheumatoid arthritis [25]. It seems that THBS1 might be a biomarker for distinguishing OA from KBD and rheumatoid arthritis. THBS1 encodes thrombospondin 1, which is an adhesive glycoprotein and can mediate cell-to-cell and cell-to-matrix interactions. Previous study found that THBS1 protein could bind to type V collagen, and played an important role in angiogenesis [26]. Furthermore, Pasteels JL suggested that abnormal angiogenesis contributed greatly to the development of KBD [27]. Hinsenkamp M suggested that mycotoxins might contribute to the occurrence of KBD through inhibition of angiogenesis [28]. Given our study results, the role of THBS1 in the development of KBD may be worthwhile for further studies.

Growth and development

Serious KBD patients usually have skeletal developmental disorders, including short fingers, short limb and short stature. In this study, development-related IGFBP2 and IGFBP4 genes presented higher expression levels in KBD cartilage than in healthy cartilage. The proteins encoded by IGFBP 2 and IGFBP4 belong to insulin-like growth factor binding protein family, which can inhibit growth and development through binding to insulin-like growth factor [29,30]. Previous microarray study found that mycotoxins were able to alter the expression of IGFBP2 and IGFBP4 [24]. Additionally, GO expression analysis observed that 5 development-related GO were significantly up-regulated in KBD cartilage. Mycotoxins may contribute to the skeletal developmental disorders of KBD through affecting the expression and biological function of growth and development-related genes, such as IGFBP2 and IGFBP4.


We investigated the MRG expression profiles of KBD, and identified a set of differently expressed MRG and GO between KBD cartilage and healthy cartilage. Based on the results of previous and our studies, we suggest that mycotoxins might contribute to the development of KBD through dysfunction of MRG involved in apoptosis, collagen synthesis and growth & development in cartilage. Our efforts may help to understand the molecular mechanism underlying KBD.

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

FZ and XG designed the study. WZW and XG prepared all test samples and conducted the experiments. FZ and SXW performed statistical analysis and prepared the manuscript. All authors have read and approved the final manuscript.

Pre-publication history

The pre-publication history for this paper can be accessed here:

Supplementary Material

Additional file 1:

Figure S1. GSEA gene ontology expression analysis results of APOPTOSIS_GO (A), REGULATION_OF_APOPTOSIS(B), REGULATION_OF_PROGRAMMED_CELL_DEATH (C) and ANTI_APOPTOSIS (D). The top portion of each plot denotes the running enrichment score(ES), which reflects the overrepresented degree of corresponding gene set. The positive and negative ES values indicate gene set up-regulation and down-regulation in KBD compared to healthy controls, respectively. The middle portion of each plot shows the place of members of the gene set in the ranked list of genes. The bottom portion of each plot shows the values of ranking metric as it moving down the ranked list of genes.

Additional file 2:



This work was supported by the National Natural Scientific Foundation of China (30972556,81102086) and the Specialized Research Fund for the Doctoral Program of Higher Education of China (20090201110049).


  • Duan C, Guo X, Zhang XD, Yu HJ, Yan H, Gao Y, Ma WJ, Gao ZQ, Xu P, Lammi M. Comparative analysis of gene expression profiles between primary knee osteoarthritis and an osteoarthritis endemic to Northwestern China, Kashin-Beck disease. Arthritis Rheum. 2010;62(3):771–780. doi: 10.1002/art.27282. [PubMed] [Cross Ref]
  • Guo X, Zuo H, Cao CX, Zhang Y, Geng D, Zhang ZT, Zhang YG, von der Mark K, von der Mark H. Abnormal expression of Col X, PTHrP, TGF-beta, bFGF, and VEGF in cartilage with Kashin-Beck disease. J Bone Miner Metab. 2006;24(4):319–328. doi: 10.1007/s00774-006-0690-3. [PubMed] [Cross Ref]
  • Moreno-Reyes R, Suetens C, Mathieu F, Begaux F, Zhu D, Rivera MT, Boelaert M, Neve J, Perlmutter N, Vanderpas J. Kashin-Beck osteoarthropathy in rural Tibet in relation to selenium and iodine status. N Engl J Med. 1998;339(16):1112–1120. doi: 10.1056/NEJM199810153391604. [PubMed] [Cross Ref]
  • Downey CM, Horton CR, Carlson BA, Parsons TE, Hatfield DL, Hallgrimsson B, Jirik FR. Osteo-chondroprogenitor-specific deletion of the selenocysteine tRNA gene, Trsp, leads to chondronecrosis and abnormal skeletal development: a putative model for Kashin-Beck disease. PLoS Genet. 2009;5(8):e1000616. doi: 10.1371/journal.pgen.1000616. [PMC free article] [PubMed] [Cross Ref]
  • Chasseur C, Suetens C, Nolard N, Begaux F, Haubruge E. Fungal contamination in barley and Kashin-Beck disease in Tibet. Lancet. 1997;350(9084):1074. [PubMed]
  • Malaisse F, Mathieu F. Big bone disease. A multidisciplinary approach of Kashin-Beck disease in Tibet Autonomous–Region (P.R. China) Belgium:Les Presses Agronomiques de Gembloux. 2008. p. 153.
  • Zhang WH, Neve J, Xu JP, Vanderpas J, Wang ZL. Selenium, iodine and fungal contamination in Yulin District (People’s Republic of China) endemic for Kashin-Beck disease. Int Orthop. 2001;25(3):188–190. doi: 10.1007/s002640100242. [PubMed] [Cross Ref]
  • Chen J, Chu Y, Cao J, Yang Z, Guo X, Wang Z. T-2 toxin induces apoptosis, and selenium partly blocks, T-2 toxin induced apoptosis in chondrocytes through modulation of the Bax/Bcl-2 ratio. Food Chem Toxicol. 2006;44(4):567–573. doi: 10.1016/j.fct.2005.09.004. [PubMed] [Cross Ref]
  • Hou HF, Li JP, Ding GY, Ye WJ, Jiao P, Li QW. The cytotoxic effect and injury mechanism of deoxynivalenol on articular chondrocytes in human embryo. Zhonghua Yu Fang Yi Xue Za Zhi. 2011;45(7):629–632. [PubMed]
  • Kichou F, Walser MM. Effects of aflatoxin B1 on chicken chondrocytes in culture. Avian Dis. 1994;38(1):11–15. doi: 10.2307/1591830. [PubMed] [Cross Ref]
  • Wu W, Li G, Liu T, Vesonder RR. The effect of fumonisin B1 on isolated chondrocytes and on bone formation. Poult Sci. 1995;74(9):1431–1436. doi: 10.3382/ps.0741431. [PubMed] [Cross Ref]
  • Mathieu F, Suetens C, Begaux F, De Maertelaer V, Hinsenkamp M. Effects of physical therapy on patients with Kashin-Beck disease in Tibet. Int Orthop. 2001;25(3):191–193. doi: 10.1007/s002640000206. [PubMed] [Cross Ref]
  • Subramanian A, Tamayo P, Mootha VK, Mukherjee S, Ebert BL, Gillette MA, Paulovich A, Pomeroy SL, Golub TR, Lander ES. et al. Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles. Proc Natl Acad Sci U S A. 2005;102(43):15545–15550. doi: 10.1073/pnas.0506580102. [PubMed] [Cross Ref]
  • Subramanian A, Kuehn H, Gould J, Tamayo P, Mesirov JP. GSEA-P: a desktop application for gene set enrichment analysis. Bioinformatics. 2007;23(23):3251–3253. doi: 10.1093/bioinformatics/btm369. [PubMed] [Cross Ref]
  • Yang JB, Wang ZW, Liu JX. Diagnostic criteria of Kashin-Beck disease. Chin J Endemiol. 1994;13:24–32.
  • Davis AP, Wiegers TC, Murphy CG, Mattingly CJ. The curation paradigm and application tool used for manual curation of the scientific literature at the Comparative Toxicogenomics Database. Database (Oxford) 2011;2011:bar034. doi: 10.1093/database/bar034. [PMC free article] [PubMed] [Cross Ref]
  • Herbert MR, Russo JP, Yang S, Roohi J, Blaxill M, Kahler SG, Cremer L, Hatchwell E. Autism and environmental genomics. Neurotoxicology. 2006;27(5):671–684. doi: 10.1016/j.neuro.2006.03.017. [PubMed] [Cross Ref]
  • Hinsenkamp M. Kashin-Beck disease. Int Orthop. 2001;25(3):133. doi: 10.1007/s002640000177. [PubMed] [Cross Ref]
  • Oltvai ZN, Milliman CL, Korsmeyer SJ. Bcl-2 heterodimerizes in vivo with a conserved homolog, Bax, that accelerates programmed cell death. Cell. 1993;74(4):609–619. doi: 10.1016/0092-8674(93)90509-O. [PubMed] [Cross Ref]
  • Bouaziz C, Martel C, Sharaf el dein O, Abid-Essefi S, Brenner C, Lemaire C, Bacha H. Fusarial toxin-induced toxicity in cultured cells and in isolated mitochondria involves PTPC-dependent activation of the mitochondrial pathway of apoptosis. Toxicol Sci. 2009;110(2):363–375. doi: 10.1093/toxsci/kfp117. [PubMed] [Cross Ref]
  • Yan D, Kang P, Yang J, Shen B, Zhou Z, Duan L, Deng J, Huang H, Pei FX. The effect of Kashin-Beck disease-affected feed and T-2 toxin on the bone development of Wistar rats. Int J Rheum Dis. 2010;13(3):266–272. doi: 10.1111/j.1756-185X.2010.01530.x. [PubMed] [Cross Ref]
  • Wenstrup RJ, Florer JB, Brunskill EW, Bell SM, Chervoneva I, Birk DE. Type V collagen controls the initiation of collagen fibril assembly. J Biol Chem. 2004;279(51):53331–53337. doi: 10.1074/jbc.M409622200. [PubMed] [Cross Ref]
  • Wang W, Guo X, Chen J, Xu P, Lammi MJ. Morphology and phenotype expression of types I, II, III, and X collagen and MMP-13 of chondrocytes cultured from articular cartilage of Kashin-Beck disease. J Rheumatol. 2008;35(4):696–702. [PubMed]
  • Jennen DG, Magkoufopoulou C, Ketelslegers HB, van Herwijnen MH, Kleinjans JC, van Delft JH. Comparison of HepG2 and HepaRG by whole-genome gene expression analysis for the purpose of chemical hazard identification. Toxicol Sci. 2010;115(1):66–79. doi: 10.1093/toxsci/kfq026. [PubMed] [Cross Ref]
  • Pohlers D, Beyer A, Koczan D, Wilhelm T, Thiesen HJ, Kinne RW. Constitutive upregulation of the transforming growth factor-beta pathway in rheumatoid arthritis synovial fibroblasts. Arthritis Res Ther. 2007;9(3):R59. doi: 10.1186/ar2217. [PMC free article] [PubMed] [Cross Ref]
  • Tolsma SS, Volpert OV, Good DJ, Frazier WA, Polverini PJ, Bouck N. Peptides derived from two separate domains of the matrix protein thrombospondin-1 have anti-angiogenic activity. J Cell Biol. 1993;122(2):497–511. doi: 10.1083/jcb.122.2.497. [PMC free article] [PubMed] [Cross Ref]
  • Pasteels JL, Liu FD, Hinsenkamp M, Rooze M, Mathieu F, Perlmutter N. Histology of Kashin-Beck lesions. Int Orthop. 2001;25(3):151–153. doi: 10.1007/s002640000190. [PubMed] [Cross Ref]
  • Hinsenkamp M, Ryppens F, Begaux F, Mathieu F, De Maertelaer V, Lepeire M, Haubruge E, Chasseur C, Stallenberg B. The anatomical distribution of radiological abnormalities in Kashin-Beck disease in Tibet. Int Orthop. 2001;25(3):142–146. doi: 10.1007/s002640100236. [PubMed] [Cross Ref]
  • Zhou J, Li W, Kamei H, Duan C. Duplication of the IGFBP-2 gene in teleost fish: protein structure and functionality conservation and gene expression divergence. PLoS One. 2008;3(12):e3926. doi: 10.1371/journal.pone.0003926. [PMC free article] [PubMed] [Cross Ref]
  • Sitar T, Popowicz GM, Siwanowicz I, Huber R, Holak TA. Structural basis for the inhibition of insulin-like growth factors by insulin-like growth factor-binding proteins. Proc Natl Acad Sci U S A. 2006;103(35):13028–13033. doi: 10.1073/pnas.0605652103. [PubMed] [Cross Ref]

Articles from BMC Musculoskeletal Disorders are provided here courtesy of BioMed Central