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Rajasekaran Shanmuganathan,Soundararajan Dilip Chand Raja,Nayagam Sharon Miracle,Tangavel Chitraa,Raveendran Muthuraja,K. S. Srivijayanand,Shetty Ajoy Prasad,Kanna Rishi Mugesh 대한척추외과학회 2023 Asian Spine Journal Vol.17 No.1
Study Design: Profiling proteins expressed in the nucleus pulposus (NP) of intervertebral discs (IVDs) in five different biological states. Purpose: To evaluate the molecular complexity of the collagen (COL) framework and its role in the health and disease of human IVDs. Overview of Literature: Changes in COL composition have been linked to degenerative disk disease (DDD). Despite the fact that humans have 28 different types of COLs, most of the literature focuses solely on COL-1 and COL-2. This study used high-end proteomic technology to examine the entire COL composition of the human IVD across fetal (developmental-FD), normal (healthy-ND), scoliotic (early degeneration-SD), herniated (degenerate-DH), and degenerated (DD) disk phenotypes. Methods: Forty NP tissues were snap-frozen in liquid nitrogen (–196°C) immediately before being subjected to proteomic and bioinformatic analyses from five different disk phenotypes (eight each). Results: Tandem mass spectrometric analysis revealed a total of 1,050 proteins in FDs, 1,809 in ND, 1,487 in SD, 1,859 in DH, and 1,538 in the DD group. Of 28 major collagens reported in the human body, this study identified 24 different collagens with 34 subtypes in NP. Fibril-forming collagens (COL-1, 2, and 11A1) and fibril-associated collagens with interrupted triple helices (COL-9A1, 12A1, and 14A1) were abundantly expressed in FDs, representing their role in the development of NP. Multiplexin (COL-15), a hybrid proteoglycan–collagen molecule, was discovered only in FDs. Degeneration was associated with COL2A1 downregulation and COL-10A1 upregulation. Conclusions: COL10 was discovered to be a new biomarker for disk degeneration. Besides COL-1 and 2, other important COLs (6, 9, 11, 12, 14, 15) with anabolic potential and abundant expression in the fetal phenotype could be investigated for tissue engineering and novel DDD therapy.
Fingerprinting in Cucumber and Melon (Cucumis spp.) Genotypes Using Morphological and ISSR Markers
Senthil Natesan,Rajiv Krishna Parvathaneni,Ashok Arunachalam Devaraj,Raveendran Muthuraja,Rajasree Venkatachalam,Arun Prathap Subramani,Pugalendhi Laxmanan 한국작물학회 2011 Journal of crop science and biotechnology Vol.14 No.1
In the present investigation, 13 Cucumis genotypes from different geographical areas of India were screened for genetic diversity using 19 morphological traits and 15 ISSR primers. The analysis of morphological traits grouped the accessions into six clusters. Cluster V contained the maximum number of genotypes namely Kanivellari, Long Green, Andaman Local, Perundurai Local, and Sempatti Local. Clusters I and VI contained the minimum number of genotypes. Among all the characters, the highest mean value was observed in fruit length (23.38) and the lowest mean value was observed in stripes on the blossom end (1.31). The 15 ISSR primers generated 109 polymorphic alleles. The average number of ISSR alleles generated was 8.3 per primer and the level of polymorphism was 87.20%. The ISSR primer UBC 825 was highly informative with a PIC value of 0.8934. The 13 genotypes were grouped into six clusters based on ISSR markers. Cluster III contained the maximum number of genotypes, namely Kanivellari,Sankagiri Local, Perundurai Local, Long Melon, and Sempatti Local, while Clusters I, II, IV, and V (Karur Local, Andaman Local,Edapaddi Local, and N 78, respectively) contained the minimum number of genotypes. The ISSR profile generated genotypes specific allele namely, UBC812_(700bp) and UBC812_(1000bp) for Cluster VI which contained Cucumis genotypes collected from the northern part of India. Similarly, UBC 808 produced specific allele UBC808_(650bp) formed in Cluster III which contained genotypes collected from Tamil Nadu and Kerala.
Fingerprinting in Cucumber and Melon (Cucumis spp.) Genotypes Using Morphological and ISSR Markers
Parvathaneni, Rajiv Krishna,Natesan, Senthil,Devaraj, Ashok Arunachalam,Muthuraja, Raveendran,Venkatachalam, Rajasree,Subramani, Arun Prathap,Laxmanan, Pugalendhi 한국작물학회 2011 Journal of crop science and biotechnology Vol.14 No.1
Prevalence, Patterns, and Genetic Association Analysis of Modic Vertebral Endplate Changes
Rishi Mugesh Kanna,Rajasekaran Shanmuganathan,Veera Ranjani Rajagopalan,Senthil Natesan,Raveendran Muthuraja,Kenneth Man Chee Cheung,Danny Chan,Patrick Yu Ping Kao,Anita Yee,Ajoy Prasad Shetty 대한척추외과학회 2017 Asian Spine Journal Vol.11 No.4
Study Design: A prospective genetic association study. Purpose: The etiology of Modic changes (MCs) is unclear. Recently, the role of genetic factors in the etiology of MCs has been evaluated. However, studies with a larger patient subset are lacking, and candidate genes involved in other disc degeneration phenotypes have not been evaluated. We studied the prevalence of MCs and genetic association of 41 candidate genes in a large Indian cohort. Overview of Literature: MCs are vertebral endplate signal changes predominantly observed in the lumbar spine. A significant association between MCs and lumbar disc degeneration and nonspecific low back pain has been described, with the etiopathogenesis implicating various mechanical, infective, and biochemical factors. Methods: We studied 809 patients using 1.5-T magnetic resonance imaging to determine the prevalence, patterns, distribution, and type of lumbar MCs. Genetic association analysis of 71 single nucleotide polymorphisms (SNPs) of 41 candidate genes was performed based on the presence or absence of MCs. SNPs were genotyped using the Sequenome platform, and an association test was performed using PLINK software. Results: The mean age of the study population (n=809) was 36.7±10.8 years. Based on the presence of MCs, the cohort was divided into 702 controls and 107 cases (prevalence, 13%). MCs were more commonly present in the lower (149/251, 59.4%) than in the upper (102/251, 40.6%) endplates. L4–5 endplates were the most commonly affected levels (30.7%). Type 2 MCs were the most commonly observed pattern (n=206, 82%). The rs2228570 SNP of VDR (p =0.02) and rs17099008 SNP of MMP20 (p =0.03) were significantly associated with MCs. Conclusions: Genetic polymorphisms of SNPs of VDR and MMP20 were significantly associated with MCs. Understanding the etiopathogenetic mechanisms of MCs is important for planning preventive and therapeutic strategies.