Gerard Marshall Raj

Dr. Gerard Marshall Raj

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Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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31 July 2020 in Irish Journal of Medical Science (1971 -)
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SDSathian Dananjayan
Sathian Dananjayan
GRGerard Marshall Raj
Gerard Marshall Raj

20 May 2020 in The International Journal of Health Planning and Management
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SDSathian Dananjayan
Sathian Dananjayan
GRGerard Marshall Raj
Gerard Marshall Raj
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5 June 2024 in Medicine Advances
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GRGerard Marshall Raj
Gerard Marshall Raj
SDSathian Dananjayan
Sathian Dananjayan
KGKiran Kumar Gudivada
Kiran Kumar Gudivada

10 September 2022 in Irish Journal of Medical Science (1971 -)
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KMKalpana Ramanna Mali
Kalpana Ramanna Mali
MEMadhavi Eerike
Madhavi Eerike
GRGerard Marshall Raj
Gerard Marshall Raj
DBDEBASIS BISOI
DEBASIS BISOI
RPRekha Priyadarshini
Rekha Priyadarshini
SJSiddharam S. Janti
Siddharam S. Janti

15 November 2018 in Drug Metabolism and Personalized Therapy
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GRGerard Marshall Raj
Gerard Marshall Raj
JMJayanthi Mathaiyan
Jayanthi Mathaiyan
MWMukta Wyawahare
Mukta Wyawahare
RPRekha Priyadarshini
Rekha Priyadarshini
Background: This work aimed to evaluate the influence of single nucleotide polymorphisms (SNPs) in the SLC47A1 (922-158G>A; rs2289669) and SLC47A2 (−130G>A; rs12943590) genes on the relative change in HbA1c in type 2 diabetes mellitus (T2DM) patients of South India who are taking metformin as monotherapy. It also aims to study the effects of these SNPs on the dose requirement of metformin for glycemic control and the adverse effects of metformin. Methods: Diabetes patients on metformin monotherapy were recruited based on the eligibility criteria (n=105). DNA was extracted and genotyping was performed with a real-time PCR system using TaqMan® SNP genotyping assay method. The HbA1c levels were measured using Bio-Rad D-10™ Hemoglobin Analyzer. Results: After adjusting for multiple comparisons (Bonferroni correction) the difference found in the glycemic response between the “GG” genotype and “AG/AA” genotype groups of the SLC47A2 gene was not significant (p=0.027; which was greater than the critical value of 0.025). Patients with “GG” genotype showed a 5.5% decrease in HbA1c from baseline compared to those with the “AG/AA” genotype (0.1% increase). The SNP in the SLC47A1 gene also did not influence the glycemic response to metformin (p=0.079). The median dose requirements based on the genotypes of the rs12943590 variant (p=0.357) or rs2289669 variant (p=0.580) were not significantly different. Similarly, there was no significant difference in the occurrence of adverse effects across the genotypes in both the SLC47A1 (p=0.615) and SLC47A2 (p=0.309) genes. Conclusions: The clinical response to metformin was not associated with the SNPs in the SLC47A1 and SLC47A2 genes coding for the multidrug and toxin extrusion protein (MATE) transporters. Furthermore, the studied SNPs had no influence on the dose requirement or adverse effects of metformin.

3 February 2015 in European Journal of Clinical Pharmacology
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GRGerard Marshall Raj
Gerard Marshall Raj
RPRekha Priyadarshini
Rekha Priyadarshini
JMJayanthi Mathaiyan
Jayanthi Mathaiyan