Effect of various anticoagulants on the bioanalysis of drugs in rat blood: implication for pharmacokinetic studies of anticancer drugs View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2016-12-20

AUTHORS

Preeti Kulkarni, Ashwin Karanam, Murari Gurjar, Sagar Dhoble, Arvind B. Naik, Bhaskar H. Vidhun, Vikram Gota

ABSTRACT

BackgroundPharmacokinetic studies are vital in development and optimization of drugs. While blood samples can be collected either in EDTA, heparin or citrate containing tubes for the estimation of drug levels in plasma, EDTA tubes are more commonly used. The purpose of this study was to evaluate the effects of anticoagulants on bioanalysis of drugs. Six drugs used extensively in cancer therapy were selected. Albino wistar rats (N = 6 per drug) were dosed with one of the following drugs intraperitoneally—pemetrexed (50 mg/kg), imatinib (50 mg/kg), erlotinib (25 mg/kg), meropenem (60 mg/kg), 6-mercaptopurine (20 mg/kg) and voriconazole (6 mg/kg). Blood samples were collected 2 h after dosing (1 h in 6-mercaptopurine group due to short half-life) by terminal bleeding from the retro-orbital plexus. Blood was collected in each of Disodium ETDA, heparin, trisodium citrate (TSC) and no anticoagulant (plain) tubes. Drug levels in these samples were determined by validated HPLC assays. ANOVA with Tukey’s post hoc test was performed to identify statistically significant differences in drug concentrations in anticoagulant tubes. p < 0.05 was considered statistically significant.ResultsSignificant differences in concentration between anticoagulant tubes was observed in case of erlotinib (p = 0.013) and meropenem (p = 0.00), while borderline statistical significance for pemetrexed (p = 0.076). TSC tubes overestimated erlotinib levels, heparin tubes underestimated meropenem concentrations and EDTA tubes overestimated pemetrexed concentrations.ConclusionsCareful selection of anti-coagulant is necessary for accurate characterization of pharmacokinetics of drugs. Routine use of EDTA tubes may lead to erroneous interpretation of pharmacokinetic data. More... »

PAGES

2102

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s40064-016-3770-4

DOI

http://dx.doi.org/10.1186/s40064-016-3770-4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1025644302

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/28053832


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1115", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Pharmacology and Pharmaceutical Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Gahlot Institute of Pharmacy, Plot No 59, Sector 14, Koparkhairne, Navi Mumbai, Maharashtra, India", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Gahlot Institute of Pharmacy, Plot No 59, Sector 14, Koparkhairne, Navi Mumbai, Maharashtra, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kulkarni", 
        "givenName": "Preeti", 
        "id": "sg:person.016506637435.32", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016506637435.32"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Clinical Pharmacology, Advanced Centre for Treatment, Research and Education in Cancer (ACTREC), Tata Memorial Centre, 410210, Navi Mumbai, Maharashtra, India", 
          "id": "http://www.grid.ac/institutes/grid.410869.2", 
          "name": [
            "Department of Clinical Pharmacology, Advanced Centre for Treatment, Research and Education in Cancer (ACTREC), Tata Memorial Centre, 410210, Navi Mumbai, Maharashtra, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Karanam", 
        "givenName": "Ashwin", 
        "id": "sg:person.01323027215.38", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01323027215.38"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Clinical Pharmacology, Advanced Centre for Treatment, Research and Education in Cancer (ACTREC), Tata Memorial Centre, 410210, Navi Mumbai, Maharashtra, India", 
          "id": "http://www.grid.ac/institutes/grid.410869.2", 
          "name": [
            "Department of Clinical Pharmacology, Advanced Centre for Treatment, Research and Education in Cancer (ACTREC), Tata Memorial Centre, 410210, Navi Mumbai, Maharashtra, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gurjar", 
        "givenName": "Murari", 
        "id": "sg:person.01021337126.03", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01021337126.03"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Clinical Pharmacology, Advanced Centre for Treatment, Research and Education in Cancer (ACTREC), Tata Memorial Centre, 410210, Navi Mumbai, Maharashtra, India", 
          "id": "http://www.grid.ac/institutes/grid.410869.2", 
          "name": [
            "Department of Clinical Pharmacology, Advanced Centre for Treatment, Research and Education in Cancer (ACTREC), Tata Memorial Centre, 410210, Navi Mumbai, Maharashtra, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Dhoble", 
        "givenName": "Sagar", 
        "id": "sg:person.011376527235.89", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011376527235.89"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Clinical Pharmacology, Advanced Centre for Treatment, Research and Education in Cancer (ACTREC), Tata Memorial Centre, 410210, Navi Mumbai, Maharashtra, India", 
          "id": "http://www.grid.ac/institutes/grid.410869.2", 
          "name": [
            "Department of Clinical Pharmacology, Advanced Centre for Treatment, Research and Education in Cancer (ACTREC), Tata Memorial Centre, 410210, Navi Mumbai, Maharashtra, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Naik", 
        "givenName": "Arvind B.", 
        "id": "sg:person.012174107635.86", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012174107635.86"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Gahlot Institute of Pharmacy, Plot No 59, Sector 14, Koparkhairne, Navi Mumbai, Maharashtra, India", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Gahlot Institute of Pharmacy, Plot No 59, Sector 14, Koparkhairne, Navi Mumbai, Maharashtra, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Vidhun", 
        "givenName": "Bhaskar H.", 
        "id": "sg:person.012771470235.44", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012771470235.44"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Clinical Pharmacology, Advanced Centre for Treatment, Research and Education in Cancer (ACTREC), Tata Memorial Centre, 410210, Navi Mumbai, Maharashtra, India", 
          "id": "http://www.grid.ac/institutes/grid.410869.2", 
          "name": [
            "Department of Clinical Pharmacology, Advanced Centre for Treatment, Research and Education in Cancer (ACTREC), Tata Memorial Centre, 410210, Navi Mumbai, Maharashtra, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gota", 
        "givenName": "Vikram", 
        "id": "sg:person.01233362400.14", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01233362400.14"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s12281-015-0219-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052545784", 
          "https://doi.org/10.1007/s12281-015-0219-0"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2016-12-20", 
    "datePublishedReg": "2016-12-20", 
    "description": "BackgroundPharmacokinetic studies are vital in development and optimization of drugs. While blood samples can be collected either in EDTA, heparin or citrate containing tubes for the estimation of drug levels in plasma, EDTA tubes are more commonly used. The purpose of this study was to evaluate the effects of anticoagulants on bioanalysis of drugs. Six drugs used extensively in cancer therapy were selected. Albino wistar rats (N\u00a0=\u00a06 per drug) were dosed with one of the following drugs intraperitoneally\u2014pemetrexed (50\u00a0mg/kg), imatinib (50\u00a0mg/kg), erlotinib (25\u00a0mg/kg), meropenem (60\u00a0mg/kg), 6-mercaptopurine (20\u00a0mg/kg) and voriconazole (6\u00a0mg/kg). Blood samples were collected 2\u00a0h after dosing (1\u00a0h in 6-mercaptopurine group due to short half-life) by terminal bleeding from the retro-orbital plexus. Blood was collected in each of Disodium ETDA, heparin, trisodium citrate (TSC) and no anticoagulant (plain) tubes. Drug levels in these samples were determined by validated HPLC assays. ANOVA with Tukey\u2019s post hoc test was performed to identify statistically significant differences in drug concentrations in anticoagulant tubes. p\u00a0<\u00a00.05 was considered statistically significant.ResultsSignificant differences in concentration between anticoagulant tubes was observed in case of erlotinib (p\u00a0=\u00a00.013) and meropenem (p\u00a0=\u00a00.00), while borderline statistical significance for pemetrexed (p\u00a0=\u00a00.076). TSC tubes overestimated erlotinib levels, heparin tubes underestimated meropenem concentrations and EDTA tubes overestimated pemetrexed concentrations.ConclusionsCareful selection of anti-coagulant is necessary for accurate characterization of pharmacokinetics of drugs. Routine use of EDTA tubes may lead to erroneous interpretation of pharmacokinetic data.", 
    "genre": "article", 
    "id": "sg:pub.10.1186/s40064-016-3770-4", 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1047790", 
        "issn": [
          "2193-1801"
        ], 
        "name": "SpringerPlus", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "5"
      }
    ], 
    "keywords": [
      "EDTA tubes", 
      "anticoagulant tubes", 
      "drug levels", 
      "blood samples", 
      "retro-orbital plexus", 
      "borderline statistical significance", 
      "albino Wistar rats", 
      "case of erlotinib", 
      "effects of anticoagulants", 
      "terminal bleeding", 
      "erlotinib levels", 
      "meropenem concentrations", 
      "Wistar rats", 
      "pemetrexed concentrations", 
      "pharmacokinetic data", 
      "ResultsSignificant differences", 
      "drug concentrations", 
      "routine use", 
      "optimization of drugs", 
      "rat blood", 
      "heparin tubes", 
      "drugs", 
      "pharmacokinetic study", 
      "statistical significance", 
      "cancer therapy", 
      "significant differences", 
      "anticoagulants", 
      "erlotinib", 
      "meropenem", 
      "anticancer drugs", 
      "blood", 
      "heparin", 
      "bioanalysis of drugs", 
      "HPLC assay", 
      "bleeding", 
      "imatinib", 
      "plexus", 
      "therapy", 
      "pharmacokinetics", 
      "rats", 
      "levels", 
      "study", 
      "differences", 
      "concentration", 
      "assays", 
      "effect", 
      "samples", 
      "ANOVA", 
      "tube", 
      "citrate", 
      "plasma", 
      "cases", 
      "significance", 
      "Tukey", 
      "test", 
      "erroneous interpretation", 
      "ETDA", 
      "use", 
      "purpose", 
      "trisodium citrate", 
      "EDTA", 
      "data", 
      "development", 
      "implications", 
      "accurate characterization", 
      "selection", 
      "bioanalysis", 
      "characterization", 
      "interpretation", 
      "estimation", 
      "optimization"
    ], 
    "name": "Effect of various anticoagulants on the bioanalysis of drugs in rat blood: implication for pharmacokinetic studies of anticancer drugs", 
    "pagination": "2102", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1025644302"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s40064-016-3770-4"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "28053832"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s40064-016-3770-4", 
      "https://app.dimensions.ai/details/publication/pub.1025644302"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-11-24T21:01", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20221124/entities/gbq_results/article/article_700.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1186/s40064-016-3770-4"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/s40064-016-3770-4'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s40064-016-3770-4'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s40064-016-3770-4'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s40064-016-3770-4'


 

This table displays all metadata directly associated to this object as RDF triples.

180 TRIPLES      21 PREDICATES      97 URIs      88 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s40064-016-3770-4 schema:about anzsrc-for:11
2 anzsrc-for:1115
3 schema:author N7d41b76acd134c7a82a71d8b192a6a82
4 schema:citation sg:pub.10.1007/s12281-015-0219-0
5 schema:datePublished 2016-12-20
6 schema:datePublishedReg 2016-12-20
7 schema:description BackgroundPharmacokinetic studies are vital in development and optimization of drugs. While blood samples can be collected either in EDTA, heparin or citrate containing tubes for the estimation of drug levels in plasma, EDTA tubes are more commonly used. The purpose of this study was to evaluate the effects of anticoagulants on bioanalysis of drugs. Six drugs used extensively in cancer therapy were selected. Albino wistar rats (N = 6 per drug) were dosed with one of the following drugs intraperitoneally—pemetrexed (50 mg/kg), imatinib (50 mg/kg), erlotinib (25 mg/kg), meropenem (60 mg/kg), 6-mercaptopurine (20 mg/kg) and voriconazole (6 mg/kg). Blood samples were collected 2 h after dosing (1 h in 6-mercaptopurine group due to short half-life) by terminal bleeding from the retro-orbital plexus. Blood was collected in each of Disodium ETDA, heparin, trisodium citrate (TSC) and no anticoagulant (plain) tubes. Drug levels in these samples were determined by validated HPLC assays. ANOVA with Tukey’s post hoc test was performed to identify statistically significant differences in drug concentrations in anticoagulant tubes. p < 0.05 was considered statistically significant.ResultsSignificant differences in concentration between anticoagulant tubes was observed in case of erlotinib (p = 0.013) and meropenem (p = 0.00), while borderline statistical significance for pemetrexed (p = 0.076). TSC tubes overestimated erlotinib levels, heparin tubes underestimated meropenem concentrations and EDTA tubes overestimated pemetrexed concentrations.ConclusionsCareful selection of anti-coagulant is necessary for accurate characterization of pharmacokinetics of drugs. Routine use of EDTA tubes may lead to erroneous interpretation of pharmacokinetic data.
8 schema:genre article
9 schema:isAccessibleForFree true
10 schema:isPartOf Nbd9c50afd1c44de5a2176bb3f75b9a4e
11 Ne19550e245874f7e8e0c879fae30a58c
12 sg:journal.1047790
13 schema:keywords ANOVA
14 EDTA
15 EDTA tubes
16 ETDA
17 HPLC assay
18 ResultsSignificant differences
19 Tukey
20 Wistar rats
21 accurate characterization
22 albino Wistar rats
23 anticancer drugs
24 anticoagulant tubes
25 anticoagulants
26 assays
27 bioanalysis
28 bioanalysis of drugs
29 bleeding
30 blood
31 blood samples
32 borderline statistical significance
33 cancer therapy
34 case of erlotinib
35 cases
36 characterization
37 citrate
38 concentration
39 data
40 development
41 differences
42 drug concentrations
43 drug levels
44 drugs
45 effect
46 effects of anticoagulants
47 erlotinib
48 erlotinib levels
49 erroneous interpretation
50 estimation
51 heparin
52 heparin tubes
53 imatinib
54 implications
55 interpretation
56 levels
57 meropenem
58 meropenem concentrations
59 optimization
60 optimization of drugs
61 pemetrexed concentrations
62 pharmacokinetic data
63 pharmacokinetic study
64 pharmacokinetics
65 plasma
66 plexus
67 purpose
68 rat blood
69 rats
70 retro-orbital plexus
71 routine use
72 samples
73 selection
74 significance
75 significant differences
76 statistical significance
77 study
78 terminal bleeding
79 test
80 therapy
81 trisodium citrate
82 tube
83 use
84 schema:name Effect of various anticoagulants on the bioanalysis of drugs in rat blood: implication for pharmacokinetic studies of anticancer drugs
85 schema:pagination 2102
86 schema:productId N24fe0861a9624bca9ceac7f9f7139ae6
87 Ndaf7b2b3747c43a485c158adfcdb7983
88 Nf49597a9c39d4ef29f9c8767f5c9eeeb
89 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025644302
90 https://doi.org/10.1186/s40064-016-3770-4
91 schema:sdDatePublished 2022-11-24T21:01
92 schema:sdLicense https://scigraph.springernature.com/explorer/license/
93 schema:sdPublisher N52a12156a0f74cfc94ad3688c06af6cb
94 schema:url https://doi.org/10.1186/s40064-016-3770-4
95 sgo:license sg:explorer/license/
96 sgo:sdDataset articles
97 rdf:type schema:ScholarlyArticle
98 N24fe0861a9624bca9ceac7f9f7139ae6 schema:name doi
99 schema:value 10.1186/s40064-016-3770-4
100 rdf:type schema:PropertyValue
101 N52a12156a0f74cfc94ad3688c06af6cb schema:name Springer Nature - SN SciGraph project
102 rdf:type schema:Organization
103 N7d41b76acd134c7a82a71d8b192a6a82 rdf:first sg:person.016506637435.32
104 rdf:rest N8a1cb23a166c48518737927ec9d30b75
105 N7e84d31e87414d8fb89c7e95ab24f07c rdf:first sg:person.012771470235.44
106 rdf:rest Nefaef5b62356442694109e927d0f5c85
107 N8a1cb23a166c48518737927ec9d30b75 rdf:first sg:person.01323027215.38
108 rdf:rest Nf13a4590a24f4ac0818aefd1310105df
109 Nbd9c50afd1c44de5a2176bb3f75b9a4e schema:volumeNumber 5
110 rdf:type schema:PublicationVolume
111 Nc28f18ccc7014a948064400c7309071d rdf:first sg:person.011376527235.89
112 rdf:rest Nfefa14bc117c40b1ad36b30c7633e49d
113 Ndaf7b2b3747c43a485c158adfcdb7983 schema:name dimensions_id
114 schema:value pub.1025644302
115 rdf:type schema:PropertyValue
116 Ne19550e245874f7e8e0c879fae30a58c schema:issueNumber 1
117 rdf:type schema:PublicationIssue
118 Nefaef5b62356442694109e927d0f5c85 rdf:first sg:person.01233362400.14
119 rdf:rest rdf:nil
120 Nf13a4590a24f4ac0818aefd1310105df rdf:first sg:person.01021337126.03
121 rdf:rest Nc28f18ccc7014a948064400c7309071d
122 Nf49597a9c39d4ef29f9c8767f5c9eeeb schema:name pubmed_id
123 schema:value 28053832
124 rdf:type schema:PropertyValue
125 Nfefa14bc117c40b1ad36b30c7633e49d rdf:first sg:person.012174107635.86
126 rdf:rest N7e84d31e87414d8fb89c7e95ab24f07c
127 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
128 schema:name Medical and Health Sciences
129 rdf:type schema:DefinedTerm
130 anzsrc-for:1115 schema:inDefinedTermSet anzsrc-for:
131 schema:name Pharmacology and Pharmaceutical Sciences
132 rdf:type schema:DefinedTerm
133 sg:journal.1047790 schema:issn 2193-1801
134 schema:name SpringerPlus
135 schema:publisher Springer Nature
136 rdf:type schema:Periodical
137 sg:person.01021337126.03 schema:affiliation grid-institutes:grid.410869.2
138 schema:familyName Gurjar
139 schema:givenName Murari
140 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01021337126.03
141 rdf:type schema:Person
142 sg:person.011376527235.89 schema:affiliation grid-institutes:grid.410869.2
143 schema:familyName Dhoble
144 schema:givenName Sagar
145 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011376527235.89
146 rdf:type schema:Person
147 sg:person.012174107635.86 schema:affiliation grid-institutes:grid.410869.2
148 schema:familyName Naik
149 schema:givenName Arvind B.
150 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012174107635.86
151 rdf:type schema:Person
152 sg:person.01233362400.14 schema:affiliation grid-institutes:grid.410869.2
153 schema:familyName Gota
154 schema:givenName Vikram
155 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01233362400.14
156 rdf:type schema:Person
157 sg:person.012771470235.44 schema:affiliation grid-institutes:None
158 schema:familyName Vidhun
159 schema:givenName Bhaskar H.
160 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012771470235.44
161 rdf:type schema:Person
162 sg:person.01323027215.38 schema:affiliation grid-institutes:grid.410869.2
163 schema:familyName Karanam
164 schema:givenName Ashwin
165 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01323027215.38
166 rdf:type schema:Person
167 sg:person.016506637435.32 schema:affiliation grid-institutes:None
168 schema:familyName Kulkarni
169 schema:givenName Preeti
170 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016506637435.32
171 rdf:type schema:Person
172 sg:pub.10.1007/s12281-015-0219-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052545784
173 https://doi.org/10.1007/s12281-015-0219-0
174 rdf:type schema:CreativeWork
175 grid-institutes:None schema:alternateName Gahlot Institute of Pharmacy, Plot No 59, Sector 14, Koparkhairne, Navi Mumbai, Maharashtra, India
176 schema:name Gahlot Institute of Pharmacy, Plot No 59, Sector 14, Koparkhairne, Navi Mumbai, Maharashtra, India
177 rdf:type schema:Organization
178 grid-institutes:grid.410869.2 schema:alternateName Department of Clinical Pharmacology, Advanced Centre for Treatment, Research and Education in Cancer (ACTREC), Tata Memorial Centre, 410210, Navi Mumbai, Maharashtra, India
179 schema:name Department of Clinical Pharmacology, Advanced Centre for Treatment, Research and Education in Cancer (ACTREC), Tata Memorial Centre, 410210, Navi Mumbai, Maharashtra, India
180 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...