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| 1 | Effect of angiotensin converting enzyme gene I/D polymorphism in South Indian children with nephrotic syndrome显示文摘Nephrotic syndrome is one of the most common childhood kidney diseases. It is mostly found in the age group of 2 to 8 years. Around 10%-15% of nephrotic syndrome cases are non-responders of steroid treatment(SRNS).Angiotensin converting enzyme(ACE)(I/D) gene association studies are important for detecting kidney disease and herein we assessed the association of ACE(I/D) polymorphism with nephrotic syndrome in South Indian children. We recruited 260 nephrotic syndrome(162 boys and 98 girls) and 218(140 boys and 78 girls) control subjects. ACE I/D polymorphism was analyzed by PCR using genotype allele specific primers. In ACE(I/D), we did not find significant association for the ungrouped data of nephrotic syndrome children and the control subjects. Kidney biopsies were done in 86 nephrotic syndrome cases(minimal change disease, n = 51;focal segmental glomerulosclerosis, n = 27;diffuse mesangial proliferation, n = 8). We segregated them into the minimal change disease/focal segmental glomerulosclerosis groups and observed that the ACE’D’ allele was identified with borderline significance in cases of focal segmental glomerulosclerosis and the ’Ⅰ’ allele was assessed as having very weak association in cases of minimal change disease. ’Ⅱ’ genotype was weakly associated with minimal change disease. Gender specific analysis revealed weak association of’ID’ genotype with female nephrotic syndrome in females. Dominant expression of DD genotype was observed in males with nephrotic syndrome. Our finding indicated that ACE(I/D) has moderate association with focal segmental glomerulosclerosis. However, due to the limited number of biopsy proven focal segmental glomerulosclerosis subjects enrolled, further studies are required to confirm these results. | Aravind Selvin Kumar Ramanathan Balakrishnan Karuppiah Murali Vijayan Kamaraj Raju Dhivakar Mani Rathika Chinniah Manikandan Thirunavukkarasu Padma Malini Ravi Jeyaram Illiayaraja Krishnan Prabha Senguttuvan | 2019 | The Journal of Biomedical Research2019，33，3： | 2 |
| 2 | Emergence of a new antibiotic resistance mechanism in India, Pakistan, and the UK: a molecular, biological, and epidemiological study 显示文摘 | Kumarasamy KK Toleman MA Walsh TR Bagaria J Butt F Balakrishnan R Chaudhary U Doumith M Giske CG Irfan S Krishnan P Kumar AV Maharjan S Mushtaq S Noorie T Paterson DL Pearson A Perry C Pike R Rao B Ray U Sarma JB Sharma M Sheridan E Thirunarayan MA Turton J Upadhyay S Warner M Welfare W Livermore DM Woodford N | 2010 | Lancet Infect Dis2010，10，9： | 1 |
| 3 | Emergence of a new antibiotic resistance mechanism in India, Pakistan, and the UK: a molecular, biological, and epidemiological study显示文摘 | Karthikeyan K Kumarasamy Mark A Toleman Timothy R Walsh Jay Bagaria Fafhana Butt Ravikumar Balakrishnan Uma Chaudhary Michel Doumith Christian G Giske Seema Irfan Padma Krishnan Anil V Kumar Sunil Maharjan Shazad Mushtaq Tabassum Noorie David L Paterson A | 2010 | The Lancet Infectious Diseases2010，，9： | 1 |
| 4 | Emergence of a new antibiotic resistance mechanism in India, Pakistan, and the UK: a molecular, biological, and epidemiological study 显示文摘 | Kumarasamy KK Toleman MA Walsh TR Bagaria J Butt F Balakrishnan R Chaudhary U Doumith M Giske CG Irfan S Krishnan P Kumar AV Maharjan S Mushtaq S Noorie T Paterson DL Pearson A Perry C Pike R Rao B Ray U Sarma JB Sharma M Sheridan E Thirunarayan MA Turton J Upadhyay S Warner M Welfare W Livermore DM Woodford N | 2010 | Lancet Infec Dis2010，10，9： | 1 |
| 5 | Emergence of a new antibiotic resistance mechanism in India, Pakistan, and the UK: a molecular, biological, and epidemiological study 显示文摘 | Kumarasamy KK Toleman MA Walsh TR Bagaria J Butt F Balakrishnan R Chaudhary U Doumith M Giske CG Irfan S Krishnan P Kumar AV Maharjan S Mushtaq S Noorie T Paterson DL Pearson A Perry C Pike R Rao B Ray U Sarma JB Sharma M Sheridan E Thirunarayan MA Turton J Upadhyay S Warner M Welfare W Livermore DM Woodford N | 2010 | Lancet Infect Dis2010，10，9： | 1 |
| 6 | 显示文摘 | Krishnan Balakrishnan Richard D Conzalez | 1993 | Catalysis1993，144，： | 1 |
| 7 | Protection against symptomatic SARS-CoV-2 infection during the second wave among individuals with pre-existing binding antibodies to SARS-CoV-2: A population-based study from Puducherry, India显示文摘During the COVID-19 pandemic,several studies have shown that severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)infection is associated with a substantial reduction in the risk of subsequent reinfection with antigenically-related variants of the virus for at least 6 months[1,2]. | Premkumar Ramasubramani Dhanajayan Govindan Nandini Balakrishnan Krishnan Tamilarasu Kadhiravan Sitanshu Sekhar Kar | 2023 | Asian Pacific Journal of Tropical Medicine2023，16，10： | 0 |
| 8 | Contrast Enhancement Based Image Detection Using Edge Preserved Key Pixel Point Filtering显示文摘In existing methods for segmented images,either edge point extraction or preservation of edges,compromising contrast images is so sensitive to noise.The Degeneration Threshold Image Detection(DTID)framework has been proposed to improve the contrast of edge filtered images.Initially,DTID uses a Rapid Bilateral Filtering process for filtering edges of contrast images.This filter decomposes input images into base layers in the DTID framework.With minimal filtering time,Rapid Bilateral Filtering handles high dynamic contrast images for smoothening edge preservation.In the DTID framework,Rapid Bilateral Filtering with Shift-Invariant Base Pass Domain Filter is insensitive to noise.This Shift-Invariant Filtering estimates value across edges for removing outliers(i.e.,noise preserving base layers of the contrast image).The intensity values are calculated in the base layer of the contrast image for accurately detecting nearby spatial locations using Shift-Invariant base Pass Domain Filter(SIDF).At last,Affine Planar Transformation is applied to detect edge filtered contrast images in the DTID framework for attaining a high quality of the image.It normalizes the translation and rotation of images.With this,Degeneration Threshold Image Detection maximizes average contrast enhancement quality and performs an experimental evaluation of factors such as detection accuracy,rate,and filtering time on contrast images.Experimental analysis shows that the DTID framework reduces the filtering time taken on contrast images by 54%and improves average contrast enhancement quality by 27%compared to GUMA,HMRF,SWT,and EHS.It provides better performance on the enhancement of average contrast enhancement quality by 28%,detection accuracy rate by 26%,and reduction in filtering time taken on contrast images by 30%compared to state-of-art methods. | Balakrishnan Natarajan Pushpalatha Krishnan | 2022 | Computer Systems Science & Engineering2022，42，8： | 0 |
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