1. Kollati Y, Akella RRD, Naushad SM, Patel RK, Reddy GB, Dirisala VR. Molecular insights into the role of genetic determinants of congenital hypothyroidism. Genomics Inform. 2021 Sep;19(3):e29.
2. Naushad SM, Vattam KK, Devi YKD, Hussain T, Alrokayan S, Kutala VK. Mechanistic insights into the CYP2C19 genetic variants prevalent in the Indian population.Gene. 2021 Jun 5;784:145592.
3. Naushad SM, Janaki Ramaiah M, Kutala VK, Hussain T, Alrokayan SA. Pharmacogenetic determinants of thiopurines in an Indian cohort. Pharmacol Rep. 2021 Feb;73(1):278-287.
4. Tamhankar PM, Vasudevan L, Kondurkar P, Niazi S, Christopher R, Solanki D, Dholakia P, Muranjan M, Kamate M, Kalane U, Sheth J, Tamhankar V, Gulati R, Vasikarla M, Danda S, Naushad SM, Girisha KM, Patil S. Clinical Characteristics, Molecular Profile, and Outcomes in Indian Patients with Glutaric Aciduria Type 1. J Pediatr Genet. 2021 Sep;10(3):213-221.
5. Naushad SM, Hussain T, Alrokayan SA, Kutala VK. Pharmacogenetic profiling of dihydropyrimidine dehydrogenase (DPYD) variants in the Indian population. J Gene Med. 2021 Jan;23(1):e3289.
6. Naushad SM, Kutala VK, Hussain T, Alrokayan SA. Pharmacogenetic determinants of warfarin in the Indian population. Pharmacol Rep. 2021  Oct;73(5):1396-1404.
7. Naushad SM, Alrokayan SA, Almajhdi FN, Hussain T. Influence of RFC1 c.80A>G Polymorphism on Methotrexate-Mediated Toxicity and Therapeutic Efficacy in Rheumatoid Arthritis: A Meta-analysis. Ann Pharmacother. Ann Pharmacother. 2021 Dec;55(12):1429-1438.
8. Naushad SM, Hussain T, Alrokayan S, Kutala VK. Alpha synuclein (SNCA) rs7684318 variant contributes to Parkinson's disease risk by altering transcription factor binding related with Notch and Wnt signaling. Neurosci Lett. 2021 Apr 17;750:135802.
9. Radha Rama Devi A, Naushad SM, Jain R, Lingappa L. A rare case of fatty acyl-CoA reductase 1 deficiency in an Indian infant manifesting rhizomelic chondrodystrophy phenotype. Clin Genet. 2021 May;99(5):744-745.
10. Naushad SM, Kutala VK. Artificial neural network and bioavailability of the immunosuppression drug. Curr Opin Organ Transplant. 2020 Aug;25(4):435-441. IF: 2.571
11. Indumathi B, Oruganti SS, Naushad SM, Kutala VK. Probing the epigenetic signatures in subjects with coronary artery disease. Mol Biol Rep. 2020 Sep;47(9):6693-6703. IF: 1.402
12. Kollati Y, Akella RRD, Naushad SM, Thalla M, Reddy GB, Dirisala VR. The rs1991517 polymorphism is a genetic risk factor for congenital hypothyroidism. 3 Biotech. 2020 Jun;10(6):285. IF: 1.798
13. Kanukurti J, Mohammed N, Sreedevi NN, Khan SA, Baba KSSS, Bhaskar MV, Satish OS, Naushad SM, Mohan IK. Evaluation of Galectin-3 as a Novel Diagnostic Biomarker in Patients with Heart Failure with Preserved Ejection Fraction. J Lab Physicians. 2020 Aug;12(2):126-132.
14. Radha Rama Devi A, Naushad SM, Lingappa L. Clinical and Molecular Diagnosis of Joubert Syndrome and Related Disorders. Pediatr Neurol. 2020 May;106:43-49. IF: 2.89
15. Kollati Y, Akella RRD, Naushad SM, Borkar D, Thalla M, Nagalingam S, Lingappa L, Patel RK, Reddy GB, Dirisala VR. Newborn screening and single nucleotide variation profiling of TSHR, TPO, TG and DUOX2 candidate genes for congenital hypothyroidism. Mol Biol Rep. 2020 Sep 15. doi: 10.1007/s11033-020-05803-x. IF: 1.402
16. Mohan IK, Khan SA, Shiva Krishna D, Vijaya Bhaskar M, Sai Baba KSS, Hussain T, Alrokayan SA, Naushad SM. Adaptive Neuro-Fuzzy Inference System-Based Exploration of the Interrelationships of 25-Hydroxyvitamin D, Calcium, Phosphorus with Parathyroid Hormone Production. Indian J Clin Biochem. 2020 Jan;35(1):121-126.
17. Sreenu B, Kameswari S, Naushad S, Kutala V. Application of machine learning tools for evaluating the impact of premenopausal hysterectomy on serum anti-mullerian hormone levels. Indian Journal of Biochemistry Biophysics. 2020 April; 57(2):245-251. IF: 0.537
18. Naushad SM, Pavani A, Rupasree Y, Hussain T, Alrokayan SA, Kutala VK. Recipient ABCB1, donor and recipient CYP3A5 genotypes influence tacrolimus pharmacokinetics in liver transplant cases. Pharmacol Rep. 2019 Jun;71(3):385-392. IF: 2.754
19. Radha Rama Devi A, Kadali S, Radhika A, Singh V, Kumar MA, Reddy GM, Naushad SM. Acute Gaucher Disease-Like Condition in an Indian Infant with a Novel Biallelic Mutation in the Prosaposin Gene. J Pediatr Genet. 2019 Jun;8(2):81-85.
20. Naushad SM, Dorababu P, Rupasree Y, Pavani A, Raghunadharao D, Hussain T, Alrokayan SA, Kutala VK. Classification and regression tree-based prediction of 6-mercaptopurine-induced leucopenia grades in children with acute lymphoblastic leukemia. Cancer Chemother Pharmacol. 2019 May;83(5):875-880. IF: 2.967
21. Kadali S, Naushad SM, Radha Rama Devi A, Bodiga VL. Biochemical, machine learning and molecular approaches for the differential diagnosis of Mucopolysaccharidoses. Mol Cell Biochem. 2019 Aug;458(1-2):27-37. IF: 2.795
22. Naushad SM, Rama Devi AR, Hussain T, Alrokayan SA, Janaki Ramaiah M, Kutala VK. In silico analysis of the structural and functional implications of SLC19A1 R27H polymorphism. J Genet. 2019 Sep;98:85. IF: 0.993
23. Radha Rama Devi A, Ganapathy A, Mannan AU, Sabharanjak S, Naushad SM. 1q42.12q42.2 Deletion in a Child with Midline Defects and Hypoplasia of the Corpus Callosum. Mol Syndromol. 2019 May;10(3):161-166. IF: 1.198
24. Hussain T, Naushad SM, Ahmed A, Alamery S, Mohammed AA, Abdelkader MO, Alkhrm NAN. Association of vitamin D receptor TaqI and ApaI genetic polymorphisms with nephrolithiasis and end stage renal disease: a meta-analysis. BMC Med Genet. 2019 Dec 10;20(1):193. IF: 1.585
25. Rama Devi AR, Lingappa L, Naushad SM. Identification and in Silico Characterization of a Novel CASK c.2546T>C (p.V849A) Mutation in a Male Infant with Pontocerebellar Hypoplasia. Ann Indian Acad Neurol. 2019 Oct-Dec;22(4):523-524.
26. Radha Rama Devi A, Naushad SM. Molecular diagnosis of asparagine synthetase (ASNS) deficiency in two Indian families and literature review of 29 ASNS deficient cases. Gene. 2019 Jul 1;704:97-102. IF: 2.984
27. Hussain T, Alamery S, Dikshit G, Mohammed AA, Naushad SM, Alrokayan S. Incense smoke exposure augments systemic oxidative stress, inflammation and endothelial dysfunction in male albino rats. Toxicol Mech Methods. 2019 Mar;29(3):211-218. IF: 2.295
28. Subhashini P, Jaya Krishna S, Usha Rani G, Sushma Chander N, Maheshwar Reddy G, Naushad SM. Application of machine learning algorithms for the differential diagnosis of peroxisomal disorders. J Biochem. 2019 Jan 1;165(1):67-73. IF: 2.476
29. Vidya N, Suvidya R, Naushad SM, Mohan K. A pilot study on machine learning approach to delineate metabolic signatures in intellectual disability. Int J Develop Disab 15 April 2019. Doi: 10.1080/20473869.2019.1599168. IF: 0.80
30. Kanukurti J, Sheshu Kumar B, Sirivelu B, Sai Baba KSS, Sai Satish O, Radha Rama Devi A, Naushad SM, Mohan IK. Correlation between total plasma homocysteine levels and oxidative DNA damage in healthy Indian adults. J Clin Diag Res. 2019; 13(6): BC21-24.
31. Mekala JR, Naushad SM, Ponnusamy L, Arivazhagan G, Sakthiprasad V, Pal-Bhadra M. Epigenetic regulation of miR-200 as the potential strategy for the therapy against triple-negative breast cancer. Gene. 2018 Jan 30;641:248-258. IF: 2.984
32. Aravind Kumar M, Naushad SM, Narasimgu N, Nagaraju Naik S, Kadali S, Shanker U, Lakshmi Narasu M. Whole exome sequencing of breast cancer (TNBC) cases from India: association of MSH6 and BRIP1 variants with TNBC risk and oxidative DNA damage. Mol Biol Rep. 2018 Oct;45(5):1413-1419. IF: 1.402
33. Radha Rama Devi A, Lingappa L, Naushad SM. Identification of Two Novel Mutations in Aminomethyltransferase Gene in Cases of Glycine Encephalopathy. J Pediatr Genet. 2018 Sep;7(3):97-102.
34. Naushad SM, Hussain T, Indumathi B, Samreen K, Alrokayan SA, Kutala VK. Machine learning algorithm-based risk prediction model of coronary artery disease. Mol Biol Rep. 2018 Oct;45(5):901-910. IF: 1.402
35. Radha Rama Devi A, Naushad SM. SLC25A13 c.1610_1612delinsAT mutation in an Indian patient and literature review of 79 cases of citrin deficiency for genotype-phenotype associations. Gene. 2018 Aug 20;668:190-195. IF: 2.984
36. Hussain T, Alrokayan S, Upasna U, Pavithrakumari M, Jayapriya J, Kutala VK, Naushad SM. Meta-analysis of genetic polymorphisms in xenobiotic metabolizing enzymes and their association with breast cancer risk. J Genet. 2018 Jun;97(2):523-537. IF: 0.993
37. Kadali S, Madalasa T, Reddy GM, Naushad SM. Utility of amniotic fluid chitotriosidase in the prenatal diagnosis of lysosomal storage disorders. Clin Biochem. 2018 Nov;61:40-44. IF: 2.573
38. Thishya K, Vattam KK, Naushad SM, Raju SB, Kutala VK. Artificial neural network model for predicting the bioavailability of tacrolimus in patients with renal transplantation. PLoS One. 2018 Apr 5;13(4):e0191921. IF: 2.74
39. Aravind Kumar M, Singh V, Naushad SM, Shanker U, Lakshmi Narasu M. Microarray-based SNP genotyping to identify genetic risk factors of triple-negative breast cancer (TNBC) in South Indian population. Mol Cell Biochem. 2018 May;442(1-2):1-10. IF: 2.795
40. Naushad SM, Rama Devi AR, Nivetha S, Lakshmitha G, Stanley AB, Hussain T, Kutala VK. Neuro-fuzzy model of homocysteine metabolism. J Genet. 2017 Dec;96(6):919-926. IF: 0.993
41. Janaki Ramaiah M, Naushad SM, Lavanya A, Srinivas C, Anjana Devi T, Sampathkumar S, Dharan DB, Bhadra MP. Scriptaid cause histone deacetylase inhibition and cell cycle arrest in HeLa cancer cells: A study on structural and functional aspects. Gene. 2017 Sep 5;627:379-386. IF: 2.984
42. Mohan IK, Khan SA, Jacob R, Sushma Chander N, Hussain T, Alrokayan SA, Radha Rama Devi A, Naushad SM. Application of adaptive neuro-fuzzy inference systems (ANFIS) to delineate estradiol, glutathione and homocysteine interactions. Clin Nutr ESPEN. 2017 Aug;20:41-46. SJR: 0.50
43. Radha Rama Devi A, Panday NN, Naushad SM. FOXN1 Italian founder mutation in Indian family: Implications in prenatal diagnosis. Gene. 2017 Sep 5;627:222-225. IF: 2.984
44. Devi AR, Naushad SM. Targeted exome sequencing for the identification of complementation groups in methylmalonic aciduria: A south Indian experience. Clin Biochem. 2017 Jan;50(1-2):68-72. IF: 2.573
45. Mohan IK, Sai Baba KSS, Krishna Prasad C, Hussain T, Alrokayan SA, Naushad SM, Radha Rama Devi A. A micro-method for biotinidase estimation using dried blood spots and comparison with plasma biotinidase. IOSR J Dental and Med Sci 2017; 16(6): 23 – 26.
46. Kumudini N, Naushad SM, Alex Stanley B, Niveditha M, Sharmila G, Kumaraswami K, Borghain R, Mridula R, Kutala VK. Comparative analysis of four disease prediction models of Parkinson's disease. Mol Cell Biochem. 2016 Jan;411(1-2):127-34. IF: 2.795
47. Pavani A, Naushad SM, Lakshmitha G, Nivetha S, Stanley BA, Malempati AR, Kutala VK. Development of neuro-fuzzy model to explore gene-nutrient interactions modulating warfarin dose requirement. Pharmacogenomics. 2016 Aug;17(12):1315-25. IF: 2.339
48. Naushad SM, Janaki Ramaiah M, Stanley BA, Prasanna Lakshmi S, Vishnu Priya J, Hussain T, Alrokayan SA, Kutala VK. In silico approaches to identify the potential inhibitors of glutamate carboxypeptidase II (GCPII) for neuroprotection. J Theor Biol. 2016 Oct 7;406:137-42. IF: 2.327
49. Naushad SM, Janaki Ramaiah M, Pavithrakumari M, Jayapriya J, Hussain T, Alrokayan SA, Gottumukkala SR, Digumarti R, Kutala VK. Artificial neural network-based exploration of gene-nutrient interactions in folate and xenobiotic metabolic pathways that modulate susceptibility to breast cancer. Gene. 2016 Apr 15;580(2):159-168. IF: 2.984
50. Naushad SM, Divya C, Janaki Ramaiah M, Hussain T, Alrokayan SA, Kutala VK. Population-level diversity in the association of genetic polymorphisms of one-carbon metabolism with breast cancer risk. J Community Genet. 2016 Oct;7(4):279-290.
51. Pavani A, Naushad SM, Kumar RM, Srinath M, Malempati AR, Kutala VK. Artificial neural network-based pharmacogenomic algorithm for warfarin dose optimization. Pharmacogenomics. 2016;17(2):121-31. IF: 2.339
52. Shaik Mohammad N, Sai Shruti P, Bharathi V, Krishna Prasad C, Hussain T, Alrokayan SA, Naik U, Radha Rama Devi A. Clinical utility of folate pathway genetic polymorphisms in the diagnosis of autism spectrum disorders. Psychiatr Genet. 2016 Dec;26(6):281-286. IF: 1.267
53. Rupasree Y,  Naushad SM, Varshaa R, Mahalakshmi GS, Kumaraswami K, Rajasekhar L, Kutala VK. Application of Various Statistical Models to Explore Gene-Gene Interactions in Folate, Xenobiotic, Toll-Like Receptor and STAT4 Pathways that Modulate Susceptibility to Systemic Lupus Erythematosus. Mol Diagn Ther. 2016 Feb;20(1):83-95. IF: 3.38
54. Koganti SB, Kongara R, Boddepalli S, Mohammad NS, Thumma V, Nagari B, Sastry RA. Predictors of successful non-operative management of grade III & IV blunt pancreatic trauma. Ann Med Surg (Lond). 2016 Aug 9;10:103-9. SJR: 0.41
55. Pavani A, Naushad SM, Stanley BA, Kamakshi RG, Abinaya K, Amaresh Rao M, Uma A, Kutala VK. Mechanistic insights into the effect of CYP2C9*2 and CYP2C9*3 variants on the 7-hydroxylation of warfarin. Pharmacogenomics. 2015;16(4):393-400. IF: 2.339
56. Naushad SM, Shree Divyya P, Janaki Ramaiah M, Alex Stanley B, Prasanna Lakshmi S, Vishnupriya J, Kutala VK. Clinical utility of genetic variants of glutamate carboxypeptidase II in predicting breast cancer and prostate cancer risk. Cancer Genet. 2015 Nov;208(11):552-8. IF: 3.105
57. Rupasree Y, Naushad SM, Rajasekhar L, Uma A, Kutala VK. Association of TLR4 (D299G, T399I), TLR9 -1486T>C, TIRAP S180L and TNF-α promoter (-1031, -863, -857) polymorphisms with risk for systemic lupus erythematosus among South Indians. Lupus. 2015 Jan;24(1):50-7. IF: 2.251
58. Naushad SM, Vijayalakshmi SV, Rupasree Y, Kumudini N, Sowganthika S, Naidu JV, Ramaiah MJ, Rao DN, Kutala VK. Multifactor dimensionality reduction analysis to elucidate the cross-talk between one-carbon and xenobiotic metabolic pathways in multi-disease models. Mol Biol Rep. 2015 Jul;42(7):1211-24. IF: 1.402
59. Rupasree Y, Naushad SM, Rajasekhar L, Uma A, Kutala VK. Association of estrogen receptor 1 (ESR1) haplotypes with risk for systemic lupus erythematosus among South Indians. Indian J Exp Biol. 2015 Nov;53(11):714-8. IF: 0.783
60. Kumudini N, Uma A, Devi YP, Naushad SM, Mridula R, Borgohain R, Kutala VK. Association of Parkinson's disease with altered serum levels of lead and transition metals among South Indian subjects. Indian J Biochem Biophys. 2014 Apr;51(2):121-6. IF: 0.537
61. Kumudini N, Uma A, Naushad SM, Mridula R, Borgohain R, Kutala VK. Sexual dimorphism in xenobiotic genetic variants-mediated risk for Parkinson's disease. Neurol Sci. 2014 Jun;35(6):897-903. IF: 2.415
62. Kumudini N, Uma A, Naushad SM, Mridula R, Borgohain R, Kutala VK. Association of seven functional polymorphisms of one-carbon metabolic pathway with total plasma homocysteine levels and susceptibility to Parkinson's disease among South Indians. Neurosci Lett. 2014 May 7;568:1-5. IF: 2.274
63. Naushad SM, Reddy CA, Kumaraswami K, Divyya S, Kotamraju S, Gottumukkala SR, Digumarti RR, Kutala VK. Impact of hyperhomocysteinemia on breast cancer initiation and progression: epigenetic perspective. Cell Biochem Biophys. 2014 Mar;68(2):397-406. IF: 2.073
64. Pavani A, Naushad SM, Uma A, Kutala VK. Methodological issues in the development of a pharmacogenomic algorithm for warfarin dosing: comparison of two regression approaches. Pharmacogenomics. 2014 Jun;15(8):1125-32. IF: 2.339
65. Naushad SM, Krishnaprasad C, Devi AR. Adaptive developmental plasticity in methylene tetrahydrofolate reductase (MTHFR) C677T polymorphism limits its frequency in South Indians. Mol Biol Rep. 2014 May;41(5):3045-50. IF: 1.402
66. Dunna NR, Naushad SM, Vuree S, Anuradha C, Sailaja K, Surekha D, Rao DR, Vishnupriya S. Association of thymidylate synthase 5'-UTR 28bp tandem repeat and serine hydroxymethyltransfarase C1420T polymorphisms with susceptibility to acute leukemia. Asian Pac J Cancer Prev. 2014;15(4):1719-23.
67. Naushad SM, Hussain T, Al-Attas OS, Prayaga A, Digumarti RR, Gottumukkala SR, Kutala VK. Molecular insights into the association of obesity with breast cancer risk: relevance to xenobiotic metabolism and CpG island methylation of tumor suppressor genes. Mol Cell Biochem. 2014 Jul;392(1-2):273-80. IF: 2.795
68. Rupasree Y, Naushad SM, Rajasekhar L, Kutala VK. Epigenetic modulation of RFC1, MHC2TA and HLA-DR in systemic lupus erythematosus: association with serological markers and six functional polymorphisms of one-carbon metabolic pathway. Gene. 2014 Feb 15;536(1):45-52. IF: 2.984
69. Lakshmi SV, Naushad SM, Reddy CA, Saumya K, Rao DS, Kotamraju S, Kutala VK. Oxidative stress in coronary artery disease: epigenetic perspective. Mol Cell Biochem. 2013 Feb;374(1-2):203-11. IF: 2.795
70. Kumudini N, Umai A, Devi YP, Naushad SM, Mridula R, Borgohain R, Kutala VK. Impact of COMT H108L, MAOB int 13 A>G and DRD2 haplotype on the susceptibility to Parkinson's disease in South Indian subjects. Indian J Biochem Biophys. 2013 Oct;50(5):436-41. IF: 0.537
71. Divyya S, Naushad SM, Addlagatta A, Murthy PV, Reddy ChR, Digumarti RR, Gottumukkala SR, Subbarao SA, Kutala VK. Association of glutamate carboxypeptidase II (GCPII) haplotypes with breast and prostate cancer risk. Gene. 2013 Mar 1;516(1):76-81. IF: 2.984
72. Vijaya Lakshmi SV, Naushad SM, Seshagiri Rao D, Kutala VK. Oxidative stress is associated with genetic polymorphisms in one-carbon metabolism in coronary artery disease. Cell Biochem Biophys. 2013 Nov;67(2):353-61. IF: 2.073
73. Naushad SM, Jain JM, Prasad CK, Naik U, Akella RR. Autistic children exhibit distinct plasma amino acid profile. Indian J Biochem Biophys. 2013 Oct;50(5):474-8. IF: 0.537
74. Divyya S, Naushad SM, Murthy PV, Reddy ChR, Kutala VK. GCPII modulates oxidative stress and prostate cancer susceptibility through changes in methylation of RASSF1, BNIP3, GSTP1 and Ec-SOD. Mol Biol Rep. 2013 Oct;40(10):5541-50. IF: 1.402
75. Rupasree Y, Naushad SM, Rajasekhar L, Kutala VK. Association of genetic variants of xenobiotic metabolic pathway with systemic lupus erythematosus. Indian J Biochem Biophys. 2013 Oct;50(5):447-52. IF: 0.537
76. Dorababu P, Naushad SM, Linga VG, Gundeti S, Nagesh N, Kutala VK, Reddanna P, Digumarti R. Genetic variants of thiopurine and folate metabolic pathways determine 6-MP-mediated hematological toxicity in childhood ALL. Pharmacogenomics. 2012 Jul;13(9):1001-8. IF: 2.339
77. Divyya S, Naushad SM, Addlagatta A, Murthy PV, Reddy ChR, Digumarti RR, Gottumukkala SR, Kumar A, Rammurti S, Kutala VK. Paradoxical role of C1561T glutamate carboxypeptidase II (GCPII) genetic polymorphism in altering disease susceptibility. Gene. 2012 Apr 15;497(2):273-9. IF: 2.984
78. Naushad SM, Pavani A, Rupasree Y, Divyya S, Deepti S, Digumarti RR, Gottumukkala SR, Prayaga A, Kutala VK. Association of aberrations in one-carbon metabolism with molecular phenotype and grade of breast cancer. Mol Carcinog. 2012 Oct;51 Suppl 1:E32-41. IF:3.825
79. Pavani A, Naushad SM, Mishra RC, Malempati AR, Pinjala R, Kumar TR, Kutala VK. Retrospective evidence for clinical validity of expanded genetic model in warfarin dose optimization in a South Indian population. Pharmacogenomics. 2012 Jun;13(8):869-78. IF: 2.339
80. Lakshmi SV, Naushad SM, Saumya K, Rao DS, Kutala VK. Role of CYP1A1 haplotypes in modulating susceptibility to coronary artery disease. Indian J Biochem Biophys. 2012 Oct;49(5):349-55. IF: 0.537
81. Naushad SM, Prayaga A, Digumarti RR, Gottumukkala SR, Kutala VK. Bcl-2/adenovirus E1B 19 kDa-interacting protein 3 (BNIP3) expression is epigenetically regulated by one-carbon metabolism in invasive duct cell carcinoma of breast. Mol Cell Biochem. 2012 Feb;361(1-2):189-95. IF: 2.795
82. Divyya S, Naushad SM, Kaul S, Anusha V, Subbarao SA, Kutala VK. Glutamate carboxypeptidase II (GCPII) genetic variants as determinants of hyperhomocysteinemia: implications in stroke susceptibility. Indian J Biochem Biophys. 2012 Oct;49(5):356-62. IF: 0.537
83. Pavani A, Naushad SM, Rupasree Y, Kumar TR, Malempati AR, Pinjala RK, Mishra RC, Kutala VK. Optimization of warfarin dose by population-specific pharmacogenomic algorithm. Pharmacogenomics J. 2012 Aug;12(4):306-11. IF: 2.910
84. Dorababu P, Naushad SM, Kutala VK, Digumarti R. Impact of age, gender and haplotypes of thiopurine methyltransferase (TPMT) and inosine triphosphate pyrophosphatase (ITPA) genes on 6-mercaptopurine toxicity in children with acute lymphoblastic leukemia. Eur J Clin Pharm 2012; 68: 885 – 886. IF: 3.263
85. Naushad SM, Reddy CA, Rupasree Y, Pavani A, Digumarti RR, Gottumukkala SR, Kuppusamy P, Kutala VK. Cross-talk between one-carbon metabolism and xenobiotic metabolism: implications on oxidative DNA damage and susceptibility to breast cancer. Cell Biochem Biophys. 2011 Dec;61(3):715-23. IF: 2.073
86. Naushad SM, Pavani A, Rupasree Y, Sripurna D, Gottumukkala SR, Digumarti RR, Kutala VK. Modulatory effect of plasma folate and polymorphisms in one-carbon metabolism on catecholamine methyltransferase (COMT) H108L associated oxidative DNA damage and breast cancer risk. Indian J Biochem Biophys. 2011 Aug;48(4):283-9. IF: 0.537
87. Naushad SM, Pavani A, Digumarti RR, Gottumukkala SR, Kutala VK. Epistatic interactions between loci of one-carbon metabolism modulate susceptibility to breast cancer. Mol Biol Rep. 2011 Nov;38(8):4893-901. IF: 1.402
88. Mohammad NS, Yedluri R, Addepalli P, Gottumukkala SR, Digumarti RR, Kutala VK. Aberrations in one-carbon metabolism induce oxidative DNA damage in sporadic breast cancer. Mol Cell Biochem. 2011 Mar;349(1-2):159-67. IF: 2.795
89. Vijaya Lakshmi SV, Naushad SM, Rupasree Y, Seshagiri Rao D, Kutala VK. Interactions of 5'-UTR thymidylate synthase polymorphism with 677C → T methylene tetrahydrofolate reductase and 66A → G methyltetrahydrofolate homocysteine methyl-transferase reductase polymorphisms determine susceptibility to coronary artery disease. J Atheroscler Thromb. 2011;18(1):56-64. IF: 3.876
90. Naushad SM, Devi AR. Role of parental folate pathway single nucleotide polymorphisms in altering the susceptibility to neural tube defects in South India. J Perinat Med. 2010;38(1):63-9.IF: 1.614
91. Govindaiah V, Naushad SM, Prabhakara K, Krishna PC, Radha Rama Devi A. Association of parental hyperhomocysteinemia and C677T Methylene tetrahydrofolate reductase (MTHFR) polymorphism with recurrent pregnancy loss. Clin Biochem. 2009 Mar;42(4-5):380-6. IF: 2.573
92. Vinukonda G, Shaik Mohammad N, Md Nurul Jain J, Prasad Chintakindi K, Rama Devi Akella R. Genetic and environmental influences on total plasma homocysteine and coronary artery disease (CAD) risk among South Indians. Clin Chim Acta. 2009 Jul;405(1-2):127-31.IF: 2.615
93. Mohammad NS, Jain JM, Chintakindi KP, Singh RP, Naik U, Akella RR. Aberrations in folate metabolic pathway and altered susceptibility to autism. Psychiatr Genet. 2009 Aug;19(4):171-6. IF: 1.267
94. Naushad SM, Jain Jamal MN, Prasad CK, Rama Devi AR. Relationship between methionine synthase, methionine synthase reductase genetic polymorphisms and deep vein thrombosis among South Indians. Clin Chem Lab Med. 2008;46(1):73-9.IF: 3.595
95. Naushad S, Jamal NJ, Angalena R, Prasad CK, Devi AR. Hyperhomocysteinemia and the compound heterozygous state for methylene tetrahydrofolate reductase are independent risk factors for deep vein thrombosis among South Indians. Blood Coagul Fibrinolysis. 2007 Mar;18(2):113-7. IF: 1.203
96. Radha Rama Devi A, Naushad SM, Prasad KC. Evaluation of total plasma homocysteine in Indian newborns using heel-prick samples. Indian J Pediatr. 2006 Jun;73(6):503-8. IF: 1.508
97. Rama Devi AR, Naushad SM. Newborn screening in India. Indian J Pediatr. 2004 Feb;71(2):157-60. IF: 1.508
98. Akella R, Vinukonda G, Gayatri R, Naushad S. Prevalence of methylene tetrahydrofolate reductase polymorphism in South Indian population. Current Science. 2004 February; 86(3):440-443.IF: 0.756
99. Kumar KS, Govindaiah V, Naushad SE, Devi RR, Jyothy A. Plasma homocysteine levels correlated to interactions between folate status and methylene tetrahydrofolate reductase gene mutation in women with unexplained recurrent pregnancy loss. J Obstet Gynaecol. 2003 Jan;23(1):55-8.IF: 0.807

BRIEF COMMUNICATIONS/INTERNATIONAL CONFERENCE ABSTRACTS

1. Naushad Shaik Mohammad. Can MTHFR 677 CT genotype alone predict the risk for neural tube defects? Rapid response. BMJ. Dec, 2005. IF: 17.4
2. Pavani Addepalli; Naushad Shaik Mohammad; Ramesh Kumar T; Amaresh Rao M; Ramakrishna Pinjala; Vijay Kumar Kutala. Development of Pharmacogenomic Algorithm for Warfarin Dose Monitoring in Indian Patients.  Circulation. 2010; 122: A13967. IF: 14.43
3. Rupasree, Yedluri, Rajasekhar, Liza, Pavani, Addepalli, Naushad, Shaik Mohammad, Kutala, Vijay Kumar; Impact of Aberrations In Xenobiotic Metabolism On the Susceptibility to Systemic Lupus Erythematosus. [abstract]. Arthritis Rheum 2011;63 Suppl 10 :1431. IF: 7.764

BOOK CHAPTERS:                                                                                 

1. Susinder Sundaram, Nithyanand Paramasivam, Naushad Shaik Mohammad, Nikhita Kutala, Vijay Kumar Kutala. Stem cell therapy in premature ovarian failure. I. Somasundaram (ed.), Stem Cell Therapy for Organ Failure,DOI 10.1007/978-81-322-2110-4__20, © Springer India 2015
2. Naushad SM, Janaki Ramaiah M, Vijay Kumar Kutala. Genetic basis linking variants of diabetes and obesity with breast cancer. Molecular Nutrition and Diabetes: book chapter. http://dx.doi.org/10.1016/B978-0-12-801585-8.00025-7.
3. Naushad SM, Dorababu P, Digumarti RR. Genetic variants of folate metabolic pathways in hematological toxicity of leukemia patients.Human Health Handbook ‘Nutrition and diet in leukemia and blood disease therapy'.
4. Naushad SM, Vijay Kumar Kutala. Systems Biology and Bioinformatics Insights into the Role of Free Radical-Mediated Oxidative Damage in the Pathophysiology of Cancer. Springer Nature Singapore Pte Ltd. 2021, S. Chakraborti et al. (eds.), Handbook of Oxidative Stress in Cancer: Mechanistic Aspects, https://doi.org/10.1007/978-981-15-4501-6_154-1

BOOK

1. Shaik Mohammad Naushad, Vijay Kumar Kutala. Role of aberrations in folate pathway in the etiology of breast cancer. Lambert Academic Publishing.