Ontology type: schema:ScholarlyArticle
2007-11
AUTHORSRitu Aneja, Neerupma Dhiman, Jyoti Idnani, Anshumali Awasthi, Sudershan K. Arora, Ramesh Chandra, Harish C. Joshi
ABSTRACTBACKGROUND: Noscapine, a naturally occurring antitussive phthalideisoquinoline alkaloid, is a tubulin-binding agent currently in Phase I/II clinical trials for anticancer therapy. Unlike currently available antimitotics such as taxanes and vincas, noscapine is water-soluble, well tolerated, and shows no detectable toxicity. OBJECTIVE: The goal was to develop a simple, sensitive, quantitative, selective, and less time-consuming high-performance liquid chromatography (HPLC) method for determination of noscapine and to study its pharmacokinetics in mice models. METHOD: Noscapine was extracted from mice plasma using the protein-precipitation method and detected using a reversed-phase C8 column with mobile phase consisting of 35% acetonitrile and 65% ammonium acetate buffer (pH 4.5) at 232 nm wavelength. Pharmacokinetic studies of noscapine were performed in mice following intravenous bolus at 10 mg/kg and oral administrations at 75, 150, and 300 mg/kg. RESULTS: The standard curves for noscapine estimation were linear between 390 and 50,000 ng/ml (lower limit of quantification was 390 ng/ml) and the recovery was approximately 80%. Following 10 mg/kg intravenous dose, mean plasma concentrations of 7.88 microg/ml were achieved at 5 min in mice and declined with undetectable levels at 4 h. The mean total body clearance was 4.78 l/h. The mean volume of distribution (V (d)) was 5.05 l. Non-compartmental analysis yielded the mean area under the plasma concentration-time curve (AUC) for noscapine as 53.42, 64.08, and 198.35 h microg/ml reaching maximum plasma concentrations (C (max)) of 12.74, 23.24, and 46.73 microg/ml at a t (max) of 1.12, 1.50, and 0.46 h at the linearly increasing dose levels. CONCLUSION: A rapid and simple HPLC/UV method for the quantification of noscapine in plasma has been developed to study pharmacokinetics of noscapine at tumor-suppressive doses in the mouse. Since orally available anticancer drugs are rare, therefore, noscapine, an innocuous agent, having a mean oral bioavailability of 31.5% over the studied dose range merits its further advancement in humans for anticancer therapy. More... »
PAGES831
http://scigraph.springernature.com/pub.10.1007/s00280-007-0430-y
DOIhttp://dx.doi.org/10.1007/s00280-007-0430-y
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1045100009
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/17285314
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/2008/1103",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Clinical Sciences",
"type": "DefinedTerm"
},
{
"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"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Administration, Oral",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Animals",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Antineoplastic Agents, Phytogenic",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Area Under Curve",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Biological Availability",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Chromatography, High Pressure Liquid",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Dose-Response Relationship, Drug",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Drug Evaluation, Preclinical",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Female",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Half-Life",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Injections, Intravenous",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Male",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Mice",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Noscapine",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Reproducibility of Results",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Tissue Distribution",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Tubulin",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "Emory University",
"id": "https://www.grid.ac/institutes/grid.189967.8",
"name": [
"Laboratory for Drug Discovery and Research, Department of Cell Biology, Emory University School of Medicine, 615 Michael Street, 30322, Atlanta, GA, USA"
],
"type": "Organization"
},
"familyName": "Aneja",
"givenName": "Ritu",
"id": "sg:person.01365356361.20",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01365356361.20"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of Delhi",
"id": "https://www.grid.ac/institutes/grid.8195.5",
"name": [
"BR Ambedkar Center for Biomedical Research, University of Delhi, 110007, Delhi, India"
],
"type": "Organization"
},
"familyName": "Dhiman",
"givenName": "Neerupma",
"id": "sg:person.01134701361.16",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01134701361.16"
],
"type": "Person"
},
{
"affiliation": {
"name": [
"Preclinical Pharmacokinetics and Metabolism Laboratories, Lupin Research Park, 411042, Pune, India"
],
"type": "Organization"
},
"familyName": "Idnani",
"givenName": "Jyoti",
"type": "Person"
},
{
"affiliation": {
"name": [
"Preclinical Pharmacokinetics and Metabolism Laboratories, Lupin Research Park, 411042, Pune, India"
],
"type": "Organization"
},
"familyName": "Awasthi",
"givenName": "Anshumali",
"id": "sg:person.0755055067.88",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0755055067.88"
],
"type": "Person"
},
{
"affiliation": {
"name": [
"Preclinical Pharmacokinetics and Metabolism Laboratories, Lupin Research Park, 411042, Pune, India"
],
"type": "Organization"
},
"familyName": "Arora",
"givenName": "Sudershan K.",
"id": "sg:person.0713246736.32",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0713246736.32"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of Delhi",
"id": "https://www.grid.ac/institutes/grid.8195.5",
"name": [
"BR Ambedkar Center for Biomedical Research, University of Delhi, 110007, Delhi, India"
],
"type": "Organization"
},
"familyName": "Chandra",
"givenName": "Ramesh",
"id": "sg:person.01347332402.71",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01347332402.71"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Emory University",
"id": "https://www.grid.ac/institutes/grid.189967.8",
"name": [
"Laboratory for Drug Discovery and Research, Department of Cell Biology, Emory University School of Medicine, 615 Michael Street, 30322, Atlanta, GA, USA"
],
"type": "Organization"
},
"familyName": "Joshi",
"givenName": "Harish C.",
"id": "sg:person.01171123402.11",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01171123402.11"
],
"type": "Person"
}
],
"citation": [
{
"id": "https://doi.org/10.3109/00498258109045268",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1000194403"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1021/jm050674q",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1000486926"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1021/jm050674q",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1000486926"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1182/blood-2005-08-3516",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1001506031"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1177/10600280940280s503",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1001757798"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1177/10600280940280s503",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1001757798"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1600-0773.1961.tb00320.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1001813889"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1023/a:1010618632738",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1003425850",
"https://doi.org/10.1023/a:1010618632738"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1021/jm0494220",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1010698462"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1021/jm0494220",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1010698462"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.bcp.2004.08.032",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1011047037"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1074/jbc.m203927200",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1012673588"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1124/mol.63.4.799",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1014462655"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1242/jcs.00029",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1015638790"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf00981140",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1016573958",
"https://doi.org/10.1007/bf00981140"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf00981140",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1016573958",
"https://doi.org/10.1007/bf00981140"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nrc1317",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1020709483",
"https://doi.org/10.1038/nrc1317"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nrc1317",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1020709483",
"https://doi.org/10.1038/nrc1317"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.3109/00498257909038719",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1026071854"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/jnci/92.3.182",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1027662719"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1074/jbc.m110369200",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1028465055"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1517/14728214.6.2.317",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1030846820"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf00609627",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1030999507",
"https://doi.org/10.1007/bf00609627"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf00609627",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1030999507",
"https://doi.org/10.1007/bf00609627"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf00609627",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1030999507",
"https://doi.org/10.1007/bf00609627"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0378-4347(00)84448-5",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1033314898"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf00315110",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1033624607",
"https://doi.org/10.1007/bf00315110"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf00315110",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1033624607",
"https://doi.org/10.1007/bf00315110"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00280-004-0903-1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1034324531",
"https://doi.org/10.1007/s00280-004-0903-1"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00280-004-0903-1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1034324531",
"https://doi.org/10.1007/s00280-004-0903-1"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s002620000109",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1035502052",
"https://doi.org/10.1007/s002620000109"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1073/pnas.91.9.3497",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1037107362"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.jchromb.2005.03.010",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1041718573"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1158/1078-0432.ccr-04-0360",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1047735293"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0378-4347(00)84381-9",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1048026214"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1073/pnas.95.4.1601",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1050085553"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1081/cnv-58823",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1050445610"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1081/cnv-58823",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1050445610"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/jps.2600540206",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1052212446"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2174/1567201043480036",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1069186394"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2174/1568011023354290",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1069191902"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2174/1568011053352569",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1069192017"
],
"type": "CreativeWork"
},
{
"id": "https://app.dimensions.ai/details/publication/pub.1075087961",
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00520-002-0405-9",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1075247154",
"https://doi.org/10.1007/s00520-002-0405-9"
],
"type": "CreativeWork"
}
],
"datePublished": "2007-11",
"datePublishedReg": "2007-11-01",
"description": "BACKGROUND: Noscapine, a naturally occurring antitussive phthalideisoquinoline alkaloid, is a tubulin-binding agent currently in Phase I/II clinical trials for anticancer therapy. Unlike currently available antimitotics such as taxanes and vincas, noscapine is water-soluble, well tolerated, and shows no detectable toxicity.\nOBJECTIVE: The goal was to develop a simple, sensitive, quantitative, selective, and less time-consuming high-performance liquid chromatography (HPLC) method for determination of noscapine and to study its pharmacokinetics in mice models.\nMETHOD: Noscapine was extracted from mice plasma using the protein-precipitation method and detected using a reversed-phase C8 column with mobile phase consisting of 35% acetonitrile and 65% ammonium acetate buffer (pH 4.5) at 232 nm wavelength. Pharmacokinetic studies of noscapine were performed in mice following intravenous bolus at 10 mg/kg and oral administrations at 75, 150, and 300 mg/kg.\nRESULTS: The standard curves for noscapine estimation were linear between 390 and 50,000 ng/ml (lower limit of quantification was 390 ng/ml) and the recovery was approximately 80%. Following 10 mg/kg intravenous dose, mean plasma concentrations of 7.88 microg/ml were achieved at 5 min in mice and declined with undetectable levels at 4 h. The mean total body clearance was 4.78 l/h. The mean volume of distribution (V (d)) was 5.05 l. Non-compartmental analysis yielded the mean area under the plasma concentration-time curve (AUC) for noscapine as 53.42, 64.08, and 198.35 h microg/ml reaching maximum plasma concentrations (C (max)) of 12.74, 23.24, and 46.73 microg/ml at a t (max) of 1.12, 1.50, and 0.46 h at the linearly increasing dose levels.\nCONCLUSION: A rapid and simple HPLC/UV method for the quantification of noscapine in plasma has been developed to study pharmacokinetics of noscapine at tumor-suppressive doses in the mouse. Since orally available anticancer drugs are rare, therefore, noscapine, an innocuous agent, having a mean oral bioavailability of 31.5% over the studied dose range merits its further advancement in humans for anticancer therapy.",
"genre": "research_article",
"id": "sg:pub.10.1007/s00280-007-0430-y",
"inLanguage": [
"en"
],
"isAccessibleForFree": false,
"isPartOf": [
{
"id": "sg:journal.1088364",
"issn": [
"0344-5704",
"1432-0843"
],
"name": "Cancer Chemotherapy and Pharmacology",
"type": "Periodical"
},
{
"issueNumber": "6",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "60"
}
],
"name": "Preclinical pharmacokinetics and bioavailability of noscapine, a tubulin-binding anticancer agent",
"pagination": "831",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"d6d36289e4936c7ed1ea44bb2702a5b322968f48fb415b1b040353fa3d28a1e2"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"17285314"
]
},
{
"name": "nlm_unique_id",
"type": "PropertyValue",
"value": [
"7806519"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/s00280-007-0430-y"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1045100009"
]
}
],
"sameAs": [
"https://doi.org/10.1007/s00280-007-0430-y",
"https://app.dimensions.ai/details/publication/pub.1045100009"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-11T14:26",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000373_0000000373/records_13069_00000001.jsonl",
"type": "ScholarlyArticle",
"url": "http://link.springer.com/10.1007%2Fs00280-007-0430-y"
}
]Download the RDF metadata as: json-ld nt turtle xml License info
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.10.1007/s00280-007-0430-y'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00280-007-0430-y'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00280-007-0430-y'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00280-007-0430-y'
This table displays all metadata directly associated to this object as RDF triples.
296 TRIPLES
21 PREDICATES
80 URIs
38 LITERALS
26 BLANK NODES