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Showing 3157 to 3161 of 3161 entries
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High-throughput LC-MS/MS Method for Simultaneous Determination of Pantoprazole and Atorvastatin in Rat Plasma: Application to a Pharmacokinetic Interaction Study.

Current drug metabolism

Le J, Liao Y, Li S, Chen X, Hong Z.
PMID: 34455944
Curr Drug Metab. 2021;22(6):481-490. doi: 10.2174/1389200222666210520090632.

BACKGROUND: Pantoprazole and atorvastatin are often used jointly in the clinic. The drug-drug interaction of pantoprazole and atorvastatin is worthy of being investigated.OBJECTIVE: A highly rapid, sensitive, and selective LC-MS/MS method was developed for simultaneous quantification of pantoprazole and...

Cite
Le J, Liao Y, Li S, et al. High-throughput LC-MS/MS Method for Simultaneous Determination of Pantoprazole and Atorvastatin in Rat Plasma: Application to a Pharmacokinetic Interaction Study. Curr Drug Metab. 2021;22(6):481-490doi: 10.2174/1389200222666210520090632.
Le, J., Liao, Y., Li, S., Chen, X., & Hong, Z. (2021). High-throughput LC-MS/MS Method for Simultaneous Determination of Pantoprazole and Atorvastatin in Rat Plasma: Application to a Pharmacokinetic Interaction Study. Current drug metabolism, 22(6), 481-490. https://doi.org/10.2174/1389200222666210520090632
Le, Jian, et al. "High-throughput LC-MS/MS Method for Simultaneous Determination of Pantoprazole and Atorvastatin in Rat Plasma: Application to a Pharmacokinetic Interaction Study." Current drug metabolism vol. 22,6 (2021): 481-490. doi: https://doi.org/10.2174/1389200222666210520090632
Le J, Liao Y, Li S, Chen X, Hong Z. High-throughput LC-MS/MS Method for Simultaneous Determination of Pantoprazole and Atorvastatin in Rat Plasma: Application to a Pharmacokinetic Interaction Study. Curr Drug Metab. 2021;22(6):481-490. doi: 10.2174/1389200222666210520090632. PMID: 34455944.
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Postmortem high-dimensional immune profiling of severe COVID-19 patients reveals distinct patterns of immunosuppression and immunoactivation.

Nature communications

Wu H, He P, Ren Y, Xiao S, Wang W, Liu Z, Li H, Wang Z, Zhang D, Cai J, Zhou X, Jiang D, Fei X, Zhao L, Zhang H, Liu Z, Chen R, Li W, Wang C, Zhang S, Qin J, Nashan B, Sun C.
PMID: 35022412
Nat Commun. 2022 Jan 12;13(1):269. doi: 10.1038/s41467-021-27723-5.

A complete diagnostic autopsy is the gold-standard to gain insight into Coronavirus disease 2019 (COVID-19) pathogenesis. To delineate the in situ immune responses to SARS-CoV-2 viral infection, here we perform comprehensive high-dimensional transcriptional and spatial immune profiling in 22...

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Wu H, He P, Ren Y, et al. Postmortem high-dimensional immune profiling of severe COVID-19 patients reveals distinct patterns of immunosuppression and immunoactivation. Nat Commun. 2022;13(1):269doi: 10.1038/s41467-021-27723-5.
Wu, H., He, P., Ren, Y., Xiao, S., Wang, W., Liu, Z., Li, H., Wang, Z., Zhang, D., Cai, J., Zhou, X., Jiang, D., Fei, X., Zhao, L., Zhang, H., Liu, Z., Chen, R., Li, W., Wang, C., Zhang, S., Qin, J., Nashan, B., & Sun, C. (2022). Postmortem high-dimensional immune profiling of severe COVID-19 patients reveals distinct patterns of immunosuppression and immunoactivation. Nature communications, 13(1), 269. https://doi.org/10.1038/s41467-021-27723-5
Wu, Haibo, et al. "Postmortem high-dimensional immune profiling of severe COVID-19 patients reveals distinct patterns of immunosuppression and immunoactivation." Nature communications vol. 13,1 (2022): 269. doi: https://doi.org/10.1038/s41467-021-27723-5
Wu H, He P, Ren Y, Xiao S, Wang W, Liu Z, Li H, Wang Z, Zhang D, Cai J, Zhou X, Jiang D, Fei X, Zhao L, Zhang H, Liu Z, Chen R, Li W, Wang C, Zhang S, Qin J, Nashan B, Sun C. Postmortem high-dimensional immune profiling of severe COVID-19 patients reveals distinct patterns of immunosuppression and immunoactivation. Nat Commun. 2022 Jan 12;13(1):269. doi: 10.1038/s41467-021-27723-5. PMID: 35022412.
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Predictors of intent to pursue a college health science education among high achieving minority 10 graders.

Boekeloo BO, Wang MQ, Zebrak KA, Le D.
UIID-AD: 2928
2013;16.

Minority populations are underrepresented in fields of science, perhaps limiting scientific perspectives. Informed by recent studies using Social Cognitive Career Theory, this study examined whether three conceptual constructs: self-efficacy, perceived adult support, and perceptions of barriers, as well as...

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Boekeloo BO, Wang MQ, Zebrak KA, et al. Predictors of intent to pursue a college health science education among high achieving minority 10 graders. 2013;16
Boekeloo, B. O., Wang, M. Q., Zebrak, K. A., & Le, D. (2013). Predictors of intent to pursue a college health science education among high achieving minority 10 graders. 16.
Boekeloo, B O, et al. "Predictors of intent to pursue a college health science education among high achieving minority 10 graders." vol. 16 (2013).
Boekeloo BO, Wang MQ, Zebrak KA, Le D. Predictors of intent to pursue a college health science education among high achieving minority 10 graders. 2013;16. UIID-AD: 2928.
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Predictors of intent to pursue a college health science education among high achieving minority 10(th) graders.

Boekeloo BO, Wang MQ, Zebrak KA, Le D.
UIID-AD: 4584
2013;

Minority populations are underrepresented in fields of science, perhaps limiting scientific perspectives. Informed by recent studies using Social Cognitive Career Theory, this study examined whether three conceptual constructs: self-efficacy, perceived adult support, and perceptions of barriers, as well as...

Cite
Boekeloo BO, Wang MQ, Zebrak KA, et al. Predictors of intent to pursue a college health science education among high achieving minority 10(th) graders. 2013;
Boekeloo, B. O., Wang, M. Q., Zebrak, K. A., & Le, D. (2013). Predictors of intent to pursue a college health science education among high achieving minority 10(th) graders. .
Boekeloo, B O, et al. "Predictors of intent to pursue a college health science education among high achieving minority 10(th) graders." vol. (2013).
Boekeloo BO, Wang MQ, Zebrak KA, Le D. Predictors of intent to pursue a college health science education among high achieving minority 10(th) graders. 2013; UIID-AD: 4584.
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Predicting student enrollment and persistence in college STEM fields using an expanded P-E fit framework: a large-scale multilevel study.

Le H, Robbins SB, Westrick P.
UIID-AD: 2784
2014;99:915-47. doi: 10.1037/a0035998.

Using an expanded person-environment fit (P-E fit) model, we conducted 2 studies to test the combined effects of 2 individual difference factors, ability-demand fit and interest-vocation fit, in predicting college student choice of and persistence in the science, technology,...

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Le H, Robbins SB, Westrick P. Predicting student enrollment and persistence in college STEM fields using an expanded P-E fit framework: a large-scale multilevel study. 2014;99:915-47doi: 10.1037/a0035998.
Le, H., Robbins, S. B., & Westrick, P. (2014). Predicting student enrollment and persistence in college STEM fields using an expanded P-E fit framework: a large-scale multilevel study. 99915-47. https://doi.org/10.1037/a0035998
Le, H, et al. "Predicting student enrollment and persistence in college STEM fields using an expanded P-E fit framework: a large-scale multilevel study." vol. 99 (2014): 915-47. doi: https://doi.org/10.1037/a0035998
Le H, Robbins SB, Westrick P. Predicting student enrollment and persistence in college STEM fields using an expanded P-E fit framework: a large-scale multilevel study. 2014;99:915-47. doi: 10.1037/a0035998. UIID-AD: 2784.
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Showing 3157 to 3161 of 3161 entries