Interaction of antioxidant gene variants and susceptibility to type 2 diabetes mellitus

Background: Diabetes is the seventh most common disease leading to death with a global estimate of 425 million diabetics, expected to be 629 million in 2045. The role of reactive metabolites and antioxidants, such as glutathione, glutathione peroxidase, superoxide dismutase and catalase in type 2 di...

Full description

Saved in:
Bibliographic Details
Published in:British journal of biomedical science Vol. 76; no. 4; pp. 166 - 171
Main Authors: Banerjee, M, Vats, P, Kushwah, AS, Srivastava, N
Format: Journal Article
Language:English
Published: England Taylor & Francis 02-10-2019
Taylor & Francis Ltd
Subjects:
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Abstract Background: Diabetes is the seventh most common disease leading to death with a global estimate of 425 million diabetics, expected to be 629 million in 2045. The role of reactive metabolites and antioxidants, such as glutathione, glutathione peroxidase, superoxide dismutase and catalase in type 2 diabetes mellitus (T2DM) provides an opportunity for identifying gene variants and risk genotypes. We hypothesised that certain antioxidant gene-gene interactions are linked with T2DM and can model disease risk prediction. Materials and methods: Genotyping of single nucleotide polymorphisms (SNPs) in antioxidant genes for glutathione (GST), glutathione peroxidase (GPx), superoxide dismutase (SOD) and catalase (CAT) was performed in 558 T2DMs and 410 age and sex matched healthy controls by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP), routine lab indices by standard techniques. Results: The null/null allele combination of GSTM1del and GSTT1del increased disease risk up to 1.7-fold. The combination of SNPs in GSTM1del, GSTT1del, GSTP1 + 313A/G and in CAT-21A/T, SOD2 + 47C/T, GPx1 + 599C/T increased the risk of diabetes 13.5 and 2.1-fold, respectively. Interaction of SNPs GSTM1del, GSTT1del, GSTP1 + 313A/G (105Ile/Val), CAT-21A/T, SOD2 + 47C/T, GPx1 + 599C/T were significantly linked with disease risk >5 × 10 3 fold. Conclusion: As the number of gene combinations increase, there is a rise in the odds ratio of disease risk, suggesting that gene-gene interaction plays an important role in T2DM susceptibility. Individuals who possess the GSTM1del, GSTT1del, GSTP1 105I/V(+313A/G), CAT-21A/T, SOD2 + 47C/T and GPx1 + 599C/T are at very high risk of developing T2DM.
AbstractList Background: Diabetes is the seventh most common disease leading to death with a global estimate of 425 million diabetics, expected to be 629 million in 2045. The role of reactive metabolites and antioxidants, such as glutathione, glutathione peroxidase, superoxide dismutase and catalase in type 2 diabetes mellitus (T2DM) provides an opportunity for identifying gene variants and risk genotypes. We hypothesised that certain antioxidant gene-gene interactions are linked with T2DM and can model disease risk prediction.Materials and methods: Genotyping of single nucleotide polymorphisms (SNPs) in antioxidant genes for glutathione (GST), glutathione peroxidase (GPx), superoxide dismutase (SOD) and catalase (CAT) was performed in 558 T2DMs and 410 age and sex matched healthy controls by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP), routine lab indices by standard techniques.Results: The null/null allele combination of GSTM1del and GSTT1del increased disease risk up to 1.7-fold. The combination of SNPs in GSTM1del, GSTT1del, GSTP1 + 313A/G and in CAT-21A/T, SOD2 + 47C/T, GPx1 + 599C/T increased the risk of diabetes 13.5 and 2.1-fold, respectively. Interaction of SNPs GSTM1del, GSTT1del, GSTP1 + 313A/G (105Ile/Val), CAT-21A/T, SOD2 + 47C/T, GPx1 + 599C/T were significantly linked with disease risk >5 × 103 fold.Conclusion: As the number of gene combinations increase, there is a rise in the odds ratio of disease risk, suggesting that gene-gene interaction plays an important role in T2DM susceptibility. Individuals who possess the GSTM1del, GSTT1del, GSTP1 105I/V(+313A/G), CAT-21A/T, SOD2 + 47C/T and GPx1 + 599C/T are at very high risk of developing T2DM.
Background: Diabetes is the seventh most common disease leading to death with a global estimate of 425 million diabetics, expected to be 629 million in 2045. The role of reactive metabolites and antioxidants, such as glutathione, glutathione peroxidase, superoxide dismutase and catalase in type 2 diabetes mellitus (T2DM) provides an opportunity for identifying gene variants and risk genotypes. We hypothesised that certain antioxidant gene-gene interactions are linked with T2DM and can model disease risk prediction. Materials and methods: Genotyping of single nucleotide polymorphisms (SNPs) in antioxidant genes for glutathione (GST), glutathione peroxidase (GPx), superoxide dismutase (SOD) and catalase (CAT) was performed in 558 T2DMs and 410 age and sex matched healthy controls by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP), routine lab indices by standard techniques. Results: The null/null allele combination of GSTM1del and GSTT1del increased disease risk up to 1.7-fold. The combination of SNPs in GSTM1del, GSTT1del, GSTP1 + 313A/G and in CAT-21A/T, SOD2 + 47C/T, GPx1 + 599C/T increased the risk of diabetes 13.5 and 2.1-fold, respectively. Interaction of SNPs GSTM1del, GSTT1del, GSTP1 + 313A/G (105Ile/Val), CAT-21A/T, SOD2 + 47C/T, GPx1 + 599C/T were significantly linked with disease risk >5 × 10 3 fold. Conclusion: As the number of gene combinations increase, there is a rise in the odds ratio of disease risk, suggesting that gene-gene interaction plays an important role in T2DM susceptibility. Individuals who possess the GSTM1del, GSTT1del, GSTP1 105I/V(+313A/G), CAT-21A/T, SOD2 + 47C/T and GPx1 + 599C/T are at very high risk of developing T2DM.
: Diabetes is the seventh most common disease leading to death with a global estimate of 425 million diabetics, expected to be 629 million in 2045. The role of reactive metabolites and antioxidants, such as glutathione, glutathione peroxidase, superoxide dismutase and catalase in type 2 diabetes mellitus (T2DM) provides an opportunity for identifying gene variants and risk genotypes. We hypothesised that certain antioxidant gene-gene interactions are linked with T2DM and can model disease risk prediction. : Genotyping of single nucleotide polymorphisms (SNPs) in antioxidant genes for glutathione ( ), glutathione peroxidase ( ), superoxide dismutase ( ) and catalase (CAT) was performed in 558 T2DMs and 410 age and sex matched healthy controls by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP), routine lab indices by standard techniques. : The null/null allele combination of del and del increased disease risk up to 1.7-fold. The combination of SNPs in del, del, + 313A/G and in -21A/T, + 47C/T, + 599C/T increased the risk of diabetes 13.5 and 2.1-fold, respectively. Interaction of SNPs del, del, + 313A/G (105Ile/Val), -21A/T, + 47C/T, + 599C/T were significantly linked with disease risk >5 × 10 fold. : As the number of gene combinations increase, there is a rise in the odds ratio of disease risk, suggesting that gene-gene interaction plays an important role in T2DM susceptibility. Individuals who possess the del, del, 105I/V(+313A/G), -21A/T, + 47C/T and + 599C/T are at very high risk of developing T2DM.
Author Srivastava, N
Banerjee, M
Vats, P
Kushwah, AS
Author_xml – sequence: 1
  givenname: M
  surname: Banerjee
  fullname: Banerjee, M
  email: mhglucknow@rediffmail.com
  organization: Molecular & Human Genetics Laboratory, Department of Zoology, University of Lucknow
– sequence: 2
  givenname: P
  surname: Vats
  fullname: Vats, P
  organization: Molecular & Human Genetics Laboratory, Department of Zoology, University of Lucknow
– sequence: 3
  givenname: AS
  surname: Kushwah
  fullname: Kushwah, AS
  organization: Department of Zoology, Institute of Science, Banaras Hindu University
– sequence: 4
  givenname: N
  surname: Srivastava
  fullname: Srivastava, N
  organization: Department of Physiology, King George's Medical University
BackLink https://www.ncbi.nlm.nih.gov/pubmed/30900957$$D View this record in MEDLINE/PubMed
BookMark eNp9kEtv1DAURi1URKeFnwCyxIZNBj8TeweqeFSqxAbE0nLia-QqsQfbgc6_x9FMWbBgdW195z50rtBFTBEQeknJnhJF3hLdD0IJuWeE6j2VWqpeP0E7JgbREaX7C7TbmG6DLtFVKfekkWzon6FLTjQhWg479P02Vsh2qiFFnDy2sb0egmsV_4AI-JfNoX1KSxwua5ngUMMY5lCPuCZcjwfADLtgR6hQ8AJzi9byHD31di7w4lyv0bePH77efO7uvny6vXl_101ci9q5fvRSW00VHydpheYTEWQYiXcAUgk1auIkl1yBBeYn6XvOnWLaadYCwq_Rm9PcQ04_VyjVLKHdOM82QlqLYVT3kg1KbOjrf9D7tObYrjOMU0oFJ4Q3Sp6oKadSMnhzyGGx-WgoMZt582jebObN2Xzre3Wevo4LuL9dj6ob8O4EhOhTXuzvlGdnqj3OKfts4xSK4f_f8QcTjJRP
CitedBy_id crossref_primary_10_3390_ijerph20021520
crossref_primary_10_2147_DMSO_S300525
crossref_primary_10_2174_1875692120666221124121316
crossref_primary_10_1080_09674845_2019_1692455
crossref_primary_10_1016_j_neuint_2023_105490
crossref_primary_10_3390_antiox12061280
crossref_primary_10_1016_j_taap_2022_116057
crossref_primary_10_3390_antiox11061188
crossref_primary_10_1007_s00592_024_02309_x
crossref_primary_10_1080_09674845_2019_1660501
crossref_primary_10_2174_1573399816999201012201111
crossref_primary_10_1136_bmjdrc_2020_001773
crossref_primary_10_3389_fgene_2022_1015879
crossref_primary_10_47470_0869_7922_2023_31_2_83_88
crossref_primary_10_1002_gepi_22350
Cites_doi 10.1089/dia.2012.0326
10.1080/09674845.2018.1482734
10.4239/wjd.v6.i6.850
10.4103/0019-5359.42021
10.1016/j.ymgme.2010.12.012
10.1016/j.nut.2016.07.018
10.1016/j.metabol.2006.08.011
10.5455/dmm.20131027101207
10.1007/s10528-012-9499-z
10.1038/sj.cr.7290272
10.1007/s11033-013-2739-4
10.1016/S0140-6736(16)31679-8
10.1161/CIRCRESAHA.115.306825
10.4103/0022-3859.68633
10.1016/j.ijdm.2010.08.002
10.1186/1471-2350-14-110
10.1097/GIM.0b013e31812eece0
10.1007/s100380300021
10.1007/s10528-015-9675-z
10.3109/10715762.2014.971782
10.1186/1471-2350-2-4
10.1089/gtmb.2014.0265
ContentType Journal Article
Copyright 2019 British Journal of Biomedical Science 2019
2019 British Journal of Biomedical Science
Copyright_xml – notice: 2019 British Journal of Biomedical Science 2019
– notice: 2019 British Journal of Biomedical Science
DBID CGR
CUY
CVF
ECM
EIF
NPM
AAYXX
CITATION
4T-
K9.
NAPCQ
7X8
DOI 10.1080/09674845.2019.1595869
DatabaseName Medline
MEDLINE
MEDLINE (Ovid)
MEDLINE
MEDLINE
PubMed
CrossRef
Docstoc
ProQuest Health & Medical Complete (Alumni)
Nursing & Allied Health Premium
MEDLINE - Academic
DatabaseTitle MEDLINE
Medline Complete
MEDLINE with Full Text
PubMed
MEDLINE (Ovid)
CrossRef
ProQuest Health & Medical Complete (Alumni)
Nursing & Allied Health Premium
Docstoc
MEDLINE - Academic
DatabaseTitleList ProQuest Health & Medical Complete (Alumni)

MEDLINE
Database_xml – sequence: 1
  dbid: ECM
  name: MEDLINE
  url: https://search.ebscohost.com/login.aspx?direct=true&db=cmedm&site=ehost-live
  sourceTypes: Index Database
DeliveryMethod fulltext_linktorsrc
Discipline Medicine
EISSN 2474-0896
EndPage 171
ExternalDocumentID 10_1080_09674845_2019_1595869
30900957
1595869
Genre Articles
Journal Article
GrantInformation_xml – fundername: University Grants Commission
  funderid: 10.13039/501100001501
GroupedDBID ---
0R~
23N
5GY
5RE
6J9
7RV
8AO
8R4
8R5
AAJNR
AALUX
ABBKH
ABEIZ
ABQIS
ABUPF
ACENM
ACGFO
ACGFS
ACGOD
ACPRK
ADCVX
ADFCX
ADFRT
AECIN
AENEX
AHMBA
AIJEM
AIRBT
ALMA_UNASSIGNED_HOLDINGS
ALQZU
ARJSQ
BABNJ
BENPR
BHPHI
BLEHA
BOHLJ
CCCUG
EBS
EMOBN
EX3
F5P
GROUPED_DOAJ
H13
HCIFZ
KYCEM
LJTGL
M4Z
M7P
OK1
P2P
Q2X
RWL
RXW
SJN
TAE
TAF
TFL
TFW
U5U
UHWXJ
UNMZH
WOW
WX9
X6Y
.GJ
3O-
3V.
53G
7X7
88E
88I
8AF
8C1
8FE
8FH
8FI
8FJ
9T4
AAFWJ
AAKQS
ABJNI
ABUWG
ACKZS
ADBBV
ADFZZ
AFKRA
AFPKN
AGYJP
ALIPV
AZQEC
BBNVY
BKEYQ
BPHCQ
BVXVI
C1A
CCPQU
CGR
CUY
CVF
CZDIS
DRXRE
DWQXO
DWTOO
ECM
EHMNL
EIF
EJD
FYUFA
GNUQQ
HMCUK
LK8
M1P
M2P
M2Q
NAPCQ
NPM
O9-
OHT
PGMZT
PQQKQ
PROAC
PSQYO
RPM
S0X
TDBHL
UKHRP
ZXP
AAYXX
CITATION
4T-
K9.
7X8
ID FETCH-LOGICAL-c394t-d6bf59a9183bc5a493c0407b0fdee5848b90d53538eae2fc5f633d829d920d503
ISSN 0967-4845
IngestDate Fri Oct 25 00:35:01 EDT 2024
Thu Oct 10 16:04:17 EDT 2024
Thu Sep 12 17:44:59 EDT 2024
Sat Sep 28 08:29:05 EDT 2024
Tue Jul 04 18:26:50 EDT 2023
IsPeerReviewed true
IsScholarly true
Issue 4
Keywords susceptibility
Type 2 diabetes mellitus
gene-gene interaction
antioxidants
gene variants
Language English
LinkModel OpenURL
MergedId FETCHMERGED-LOGICAL-c394t-d6bf59a9183bc5a493c0407b0fdee5848b90d53538eae2fc5f633d829d920d503
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
PMID 30900957
PQID 2311143003
PQPubID 4969
PageCount 6
ParticipantIDs crossref_primary_10_1080_09674845_2019_1595869
proquest_miscellaneous_2196527840
informaworld_taylorfrancis_310_1080_09674845_2019_1595869
pubmed_primary_30900957
proquest_journals_2311143003
PublicationCentury 2000
PublicationDate 2019-10-02
PublicationDateYYYYMMDD 2019-10-02
PublicationDate_xml – month: 10
  year: 2019
  text: 2019-10-02
  day: 02
PublicationDecade 2010
PublicationPlace England
PublicationPlace_xml – name: England
– name: London
PublicationTitle British journal of biomedical science
PublicationTitleAlternate Br J Biomed Sci
PublicationYear 2019
Publisher Taylor & Francis
Taylor & Francis Ltd
Publisher_xml – name: Taylor & Francis
– name: Taylor & Francis Ltd
References Moore DJ (CIT0002) 2009; 5
CIT0030
CIT0032
CIT0031
CIT0012
Saxena M (CIT0020) 2015; 7
Vats P (CIT0011) 2017; 4
CIT0013
CIT0016
CIT0015
Shi YY (CIT0006) 2005; 2005
CIT0018
CIT0001
CIT0022
Saxena M (CIT0008) 2017; 13
Saxena M (CIT0017) 2012; 3
Gautam S (CIT0023) 2013; 13
Saxena M (CIT0019) 2014; 140
CIT0003
Gautam S (CIT0021) 2011; 134
CIT0025
Verma S (CIT0014) 2013; 2
CIT0024
CIT0005
CIT0027
CIT0004
CIT0026
CIT0007
CIT0029
Negi G (CIT0010) 2011; 2
CIT0028
CIT0009
References_xml – ident: CIT0025
  doi: 10.1089/dia.2012.0326
– ident: CIT0012
  doi: 10.1080/09674845.2018.1482734
– ident: CIT0001
  doi: 10.4239/wjd.v6.i6.850
– ident: CIT0015
  doi: 10.4103/0019-5359.42021
– ident: CIT0024
  doi: 10.1016/j.ymgme.2010.12.012
– volume: 5
  start-page: 1015
  year: 2009
  ident: CIT0002
  publication-title: Vasc Health Risk Manag
  contributor:
    fullname: Moore DJ
– ident: CIT0026
  doi: 10.1016/j.nut.2016.07.018
– ident: CIT0032
  doi: 10.1016/j.metabol.2006.08.011
– ident: CIT0013
  doi: 10.5455/dmm.20131027101207
– volume: 13
  start-page: 439
  year: 2013
  ident: CIT0023
  publication-title: Indian J Med Sci
  contributor:
    fullname: Gautam S
– ident: CIT0016
  doi: 10.1007/s10528-012-9499-z
– volume: 2005
  start-page: 97
  year: 2005
  ident: CIT0006
  publication-title: Cell Res
  doi: 10.1038/sj.cr.7290272
  contributor:
    fullname: Shi YY
– ident: CIT0018
  doi: 10.1007/s11033-013-2739-4
– ident: CIT0003
  doi: 10.1016/S0140-6736(16)31679-8
– ident: CIT0009
  doi: 10.1161/CIRCRESAHA.115.306825
– volume: 134
  start-page: 107
  year: 2011
  ident: CIT0021
  publication-title: Indian J Med Res
  contributor:
    fullname: Gautam S
– ident: CIT0028
  doi: 10.4103/0022-3859.68633
– volume: 2
  start-page: 71
  year: 2011
  ident: CIT0010
  publication-title: Inst Integr Omics Appl Biotechnol J
  contributor:
    fullname: Negi G
– volume: 4
  start-page: 290
  year: 2017
  ident: CIT0011
  publication-title: Eur J Biomed Pharm Sci
  contributor:
    fullname: Vats P
– ident: CIT0022
  doi: 10.1016/j.ijdm.2010.08.002
– volume: 13
  start-page: 1
  year: 2017
  ident: CIT0008
  publication-title: Curr Diabetes Rev
  contributor:
    fullname: Saxena M
– ident: CIT0031
  doi: 10.1186/1471-2350-14-110
– ident: CIT0027
  doi: 10.1097/GIM.0b013e31812eece0
– ident: CIT0030
  doi: 10.1007/s100380300021
– volume: 7
  start-page: 560
  year: 2015
  ident: CIT0020
  publication-title: J Chem Pharm Res
  contributor:
    fullname: Saxena M
– volume: 2
  start-page: 685
  year: 2013
  ident: CIT0014
  publication-title: ‎Int J Bioassays
  contributor:
    fullname: Verma S
– ident: CIT0004
  doi: 10.1007/s10528-015-9675-z
– ident: CIT0005
  doi: 10.3109/10715762.2014.971782
– ident: CIT0029
  doi: 10.1186/1471-2350-2-4
– volume: 140
  start-page: 77
  year: 2014
  ident: CIT0019
  publication-title: Indian J Med Res
  contributor:
    fullname: Saxena M
– ident: CIT0007
  doi: 10.1089/gtmb.2014.0265
– volume: 3
  start-page: 3015
  year: 2012
  ident: CIT0017
  publication-title: Ann Biol Res
  contributor:
    fullname: Saxena M
SSID ssj0019276
Score 2.320118
Snippet Background: Diabetes is the seventh most common disease leading to death with a global estimate of 425 million diabetics, expected to be 629 million in 2045....
: Diabetes is the seventh most common disease leading to death with a global estimate of 425 million diabetics, expected to be 629 million in 2045. The role of...
SourceID proquest
crossref
pubmed
informaworld
SourceType Aggregation Database
Index Database
Publisher
StartPage 166
SubjectTerms Adult
Aged
Alleles
Antioxidants
Case-Control Studies
Catalase
Catalase - genetics
Diabetes
Diabetes mellitus (non-insulin dependent)
Diabetes Mellitus, Type 2 - diagnosis
Diabetes Mellitus, Type 2 - genetics
Diabetes Mellitus, Type 2 - physiopathology
Epistasis, Genetic
Female
Gene Frequency
Gene polymorphism
gene variants
gene-gene interaction
Genetic Predisposition to Disease
Genotyping
Glutathione peroxidase
Glutathione Peroxidase - genetics
Glutathione transferase
Glutathione Transferase - genetics
Humans
Male
Metabolites
Middle Aged
Polymerase chain reaction
Polymorphism, Restriction Fragment Length
Prognosis
Restriction fragment length polymorphism
Risk
Single-nucleotide polymorphism
Superoxide dismutase
Superoxide Dismutase - genetics
susceptibility
Type 2 diabetes mellitus
Title Interaction of antioxidant gene variants and susceptibility to type 2 diabetes mellitus
URI https://www.tandfonline.com/doi/abs/10.1080/09674845.2019.1595869
https://www.ncbi.nlm.nih.gov/pubmed/30900957
https://www.proquest.com/docview/2311143003
https://search.proquest.com/docview/2196527840
Volume 76
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://sdu.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Jj9MwFLY6g4S4IHYKAzISN5QqixPbR5aiEYi5tCy3yI5tMSPRoiYp_Hyel2wdECDEJa3sNrH8vvgtfn4fQk8VjZlh0kQV6JqIUJlEnKUmUpUUzCSVku5Q2OmKnn1ir5ZkOZt1XIBD23-VNLSBrO3J2b-Qdn9TaIDvIHO4gtTh-kdydyG-QABu9_htNuP3cwWfli1ZP9uDc-xyX1zEvK1dWovLkPV26EFI9ost2NmE6MBBIaRR1Ql_in84Yjng5YXY6N2F1pPI6wfR1JPDZW_b-vM34UI8AzPyane-F2C97sWwZxQCFAl3qW6DO7u-xBUyDkLaquvMF5RcaNeWEkqimHme226N9hwxAYtktOAmRTHS3Ymnc7mkFkIeJbfMKiS3CX18AXZczjxNzEHF7dBzhK6ksHrZxXP15qzfmuKpYyzsh94dC7MF23_2gInBMymH-2unxhk36xvoevBK8HMPp5topje30NV3Ie_iNvo4QhXeGjxCFbaowh2qoEfhKapws8UWVTjFHapwh6o76P3r5frlaRQoOaIq46SJVCFNzgUHRSCrXBCeVaAFqIyN0hpsWSZ5rPIMtKgWOjVVboosUyzliqfQEWd30fFmu9H3EU6UpmAPGyqIIhTul7CYyUKLTHFDSTpHi27eyq--8kqZdAVtw0SXdqLLMNFzxMezWzYOeMZjrsx-89-TThRleHnqElyfBNwJ0Htz9KTvhuXX7qnBy7Nt4Te2IqfdvI_n6J4XYT_aLObWg6EP_mFgD9G14Z06QcfNrtWP0FGt2scOlj8Ag8eudg
link.rule.ids 315,782,786,27933,27934
linkProvider Multiple Vendors
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Interaction+of+antioxidant+gene+variants+and+susceptibility+to+type+2+diabetes+mellitus&rft.jtitle=British+journal+of+biomedical+science&rft.au=Banerjee%2C+M&rft.au=Vats%2C+P&rft.au=Kushwah%2C+AS&rft.au=Srivastava%2C+N&rft.date=2019-10-02&rft.pub=Taylor+%26+Francis&rft.issn=0967-4845&rft.eissn=2474-0896&rft.volume=76&rft.issue=4&rft.spage=166&rft.epage=171&rft_id=info:doi/10.1080%2F09674845.2019.1595869&rft.externalDocID=1595869
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0967-4845&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0967-4845&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0967-4845&client=summon