Carolyn Cummins

Prof. Carolyn Cummins

orcid

Research Focus & Metrics

Academic Career Length

30Years (1997-Present)

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

Representative Publications

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1 October 2005 in Cell Metabolism
Verified
Journal Article
Closed access
TITakeshi Inagaki
Takeshi Inagaki
MCMihwa Choi
Mihwa Choi
Antonio MoschettaAntonio Moschetta
Antonio Moschetta
LPLi Peng
Li Peng
CCCarolyn Cummins
Carolyn Cummins
SKSteven A. Kliewer
Steven A. Kliewer

1 March 2006 in Cell
Verified
Journal Article
Closed access
DMDaniel L. Motola
Daniel L. Motola
CCCarolyn Cummins
Carolyn Cummins
VRVeerle Rottiers
Veerle Rottiers
KSKamalesh K. Sharma
Kamalesh K. Sharma
TLTingting Li
Tingting Li
DMDavid J. Mangelsdorf
David J. Mangelsdorf

16 September 2007 in Nature Medicine
Verified
Journal Article
Closed access
MUMichihisa Umetani
Michihisa Umetani
HDHideharu Domoto
Hideharu Domoto
AGAndrew K Gormley
Andrew K Gormley
IYIvan S Yuhanna
Ivan S Yuhanna
CCCarolyn Cummins
Carolyn Cummins
DMDavid J Mangelsdorf
David J Mangelsdorf

18 May 2022 in Nature Reviews Endocrinology
Verified
Journal Article
Closed access
PDF file
JLJia-Xu Li
Jia-Xu Li
CCCarolyn Cummins
Carolyn Cummins

11 April 2014 in Science
Verified
Journal Article
Open access
PDF file
ALAnna Y. Lee
Anna Y. Lee
RSRobert P. St.ONge
Robert P. St.ONge
MPMichael J. Proctor
Michael J. Proctor
IWIain M. Wallace
Iain M. Wallace
ANAaron Nile
Aaron Nile
GGGuri Giaever
Guri Giaever
Yeasty HIPHOP: In order to identify how chemical compounds target genes and affect the physiology of the cell, tests of the perturbations that occur when treated with a range of pharmacological chemicals are required. By examining the haploinsufficiency profiling (HIP) and homozygous profiling (HOP) chemogenomic platforms,Leeet al.(p.208) analyzed the response of yeast to thousands of different small molecules, with genetic, proteomic, and bioinformatic analyses. Over 300 compounds were identified that targeted 121 genes within 45 cellular response signature networks. These networks were used to extrapolate the likely effects of related chemicals, their impact upon genetic pathways, and to identify putative gene functions.

1 March 2002 in The Journal of Pharmacology and Experimental Therapeutics
Verified
Journal Article
Closed access
PDF file
CCCarolyn Cummins
Carolyn Cummins
WJWolfgang Jacobsen
Wolfgang Jacobsen
LBLeslie Z. Benet
Leslie Z. Benet
Drug efflux by intestinal P-glycoprotein (P-gp) is known to decrease the oral bioavailability of many CYP3A4 substrates. We hypothesized that the interplay occurring between P-gp and CYP3A4 at the apical membrane would increase the opportunity for drug metabolism. To define the roles of P-glycoprotein (P-gp) and CYP3A4 in controlling the extent of intestinal absorption and metabolism, two substrates were tested. The transport, metabolism, and intracellular levels ofN-methyl piperazine-Phe-homoPhe-vinylsulfone phenyl (K77, a cysteine protease inhibitor; P-gp and CYP3A4 substrate) and felodipine (CYP3A4 substrate only) were measured across CYP3A4-transfected Caco-2 cells in the presence of an inhibitor of CYP3A4 and P-gp, cyclosporine (CsA), or an inhibitor of P-gp and not CYP3A4, GG918 (N-{4-[2-(1,2,3,4-tetrahydro-6,7- dimethoxy-2-isoquinolinyl)-ethyl]-phenyl}-9,10-dihydro-5-methoxy-9-oxo-4-acridine carboxamine). The extent of metabolism was measured by calculating the extraction ratio (ER) across the cells, while accounting for intracellular changes occurring with P-gp inhibition. The (A)pical to (B)asolateral and B→A ERs for K77 were 0.33 and 0.06, respectively. These changed with GG918 to 0.14 and 0.12 and with CsA to 0.06 and 0.04. Felodipine ERs were similar in both directions, 0.26 and 0.24 (A→B and B→A), and were unchanged in the presence of GG918 but decreased with CsA (0.14 and 0.11). The K77 absorption rate was increased 5 and 4.2-fold in the presence of CsA and GG918, respectively, whereas no change was observed for felodipine absorption. The decreased A→B ER and increased absorption of K77 with GG918 suggest that P-gp influences the extent of drug metabolism in the intestine via prolonging the access of drugs to CYP3A4 near the apical membrane and decreasing transport across the cells.