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Showing 1129 to 1132 of 1132 entries
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Hyperglycemia Induces Trained Immunity in Macrophages and Their Precursors and Promotes Atherosclerosis.

Circulation

Edgar L, Akbar N, Braithwaite AT, Krausgruber T, Gallart-Ayala H, Bailey J, Corbin AL, Khoyratty TE, Chai JT, Alkhalil M, Rendeiro AF, Ziberna K, Arya R, Cahill TJ, Bock C, Laurencikiene J, Crabtree MJ, Lemieux ME, Riksen NP, Netea MG, Wheelock CE, Channon KM, Rydén M, Udalova IA, Carnicer R, Choudhury RP.
PMID: 34255973
Circulation. 2021 Sep 21;144(12):961-982. doi: 10.1161/CIRCULATIONAHA.120.046464. Epub 2021 Jul 13.

BACKGROUND: Cardiovascular risk in diabetes remains elevated despite glucose-lowering therapies. We hypothesized that hyperglycemia induces trained immunity in macrophages, promoting persistent proatherogenic characteristics.METHODS: Bone marrow-derived macrophages from control mice and mice with diabetes were grown in physiological glucose (5...

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Edgar L, Akbar N, Braithwaite AT, et al. Hyperglycemia Induces Trained Immunity in Macrophages and Their Precursors and Promotes Atherosclerosis. Circulation. 2021;144(12):961-982doi: 10.1161/CIRCULATIONAHA.120.046464.
Edgar, L., Akbar, N., Braithwaite, A. T., Krausgruber, T., Gallart-Ayala, H., Bailey, J., Corbin, A. L., Khoyratty, T. E., Chai, J. T., Alkhalil, M., Rendeiro, A. F., Ziberna, K., Arya, R., Cahill, T. J., Bock, C., Laurencikiene, J., Crabtree, M. J., Lemieux, M. E., Riksen, N. P., Netea, M. G., Wheelock, C. E., Channon, K. M., Rydén, M., Udalova, I. A., Carnicer, R., & Choudhury, R. P. (2021). Hyperglycemia Induces Trained Immunity in Macrophages and Their Precursors and Promotes Atherosclerosis. Circulation, 144(12), 961-982. https://doi.org/10.1161/CIRCULATIONAHA.120.046464
Edgar, Laurienne, et al. "Hyperglycemia Induces Trained Immunity in Macrophages and Their Precursors and Promotes Atherosclerosis." Circulation vol. 144,12 (2021): 961-982. doi: https://doi.org/10.1161/CIRCULATIONAHA.120.046464
Edgar L, Akbar N, Braithwaite AT, Krausgruber T, Gallart-Ayala H, Bailey J, Corbin AL, Khoyratty TE, Chai JT, Alkhalil M, Rendeiro AF, Ziberna K, Arya R, Cahill TJ, Bock C, Laurencikiene J, Crabtree MJ, Lemieux ME, Riksen NP, Netea MG, Wheelock CE, Channon KM, Rydén M, Udalova IA, Carnicer R, Choudhury RP. Hyperglycemia Induces Trained Immunity in Macrophages and Their Precursors and Promotes Atherosclerosis. Circulation. 2021 Sep 21;144(12):961-982. doi: 10.1161/CIRCULATIONAHA.120.046464. Epub 2021 Jul 13. PMID: 34255973; PMCID: PMC8448412.
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Saving Resources: SARS-CoV-2 Diagnostics by Real-Time RT-PCR Using Reduced Reaction Volumes.

Diseases (Basel, Switzerland)

Bock S, Hoffmann B, Beer M, Wernike K.
PMID: 34842648
Diseases. 2021 Nov 15;9(4). doi: 10.3390/diseases9040084.

Since the beginning of 2020, the betacoronavirus SARS-CoV-2 is causing a global pandemic of an acute respiratory disease termed COVID-19. The diagnostics of the novel disease is primarily based on direct virus detection by RT-PCR; however, the availability of...

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Bock S, Hoffmann B, Beer M, et al. Saving Resources: SARS-CoV-2 Diagnostics by Real-Time RT-PCR Using Reduced Reaction Volumes. Diseases. 2021;9(4)doi: 10.3390/diseases9040084.
Bock, S., Hoffmann, B., Beer, M., & Wernike, K. (2021). Saving Resources: SARS-CoV-2 Diagnostics by Real-Time RT-PCR Using Reduced Reaction Volumes. Diseases (Basel, Switzerland), 9(4), . https://doi.org/10.3390/diseases9040084
Bock, Sabine, et al. "Saving Resources: SARS-CoV-2 Diagnostics by Real-Time RT-PCR Using Reduced Reaction Volumes." Diseases (Basel, Switzerland) vol. 9,4 (2021). doi: https://doi.org/10.3390/diseases9040084
Bock S, Hoffmann B, Beer M, Wernike K. Saving Resources: SARS-CoV-2 Diagnostics by Real-Time RT-PCR Using Reduced Reaction Volumes. Diseases. 2021 Nov 15;9(4). doi: 10.3390/diseases9040084. PMID: 34842648; PMCID: PMC8628695.
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Enabling a learning healthcare system with automated computer protocols that produce replicable and personalized clinician actions.

Journal of the American Medical Informatics Association : JAMIA

Morris AH, Stagg B, Lanspa M, Orme J, Clemmer TP, Weaver LK, Thomas F, Grissom CK, Hirshberg E, East TD, Wallace CJ, Young MP, Sittig DF, Pesenti A, Bombino M, Beck E, Sward KA, Weir C, Phansalkar SS, Bernard GR, Taylor Thompson B, Brower R, Truwit JD, Steingrub J, Duncan Hite R, Willson DF, Zimmerman JJ, Nadkarni VM, Randolph A, Curley MAQ, Newth CJL, Lacroix J, Agus MSD, Lee KH, deBoisblanc BP, Scott Evans R, Sorenson DK, Wong A, Boland MV, Grainger DW, Dere WH, Crandall AS, Facelli JC, Huff SM, Haug PJ, Pielmeier U, Rees SE, Karbing DS, Andreassen S, Fan E, Goldring RM, Berger KI, Oppenheimer BW, Wesley Ely E, Gajic O, Pickering B, Schoenfeld DA, Tocino I, Gonnering RS, Pronovost PJ, Savitz LA, Dreyfuss D, Slutsky AS, Crapo JD, Angus D, Pinsky MR, James B, Berwick D.
PMID: 33594410
J Am Med Inform Assoc. 2021 Jun 12;28(6):1330-1344. doi: 10.1093/jamia/ocaa294.

Clinical decision-making is based on knowledge, expertise, and authority, with clinicians approving almost every intervention-the starting point for delivery of "All the right care, but only the right care," an unachieved healthcare quality improvement goal. Unaided clinicians suffer from...

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Morris AH, Stagg B, Lanspa M, et al. Enabling a learning healthcare system with automated computer protocols that produce replicable and personalized clinician actions. J Am Med Inform Assoc. 2021;28(6):1330-1344doi: 10.1093/jamia/ocaa294.
Morris, A. H., Stagg, B., Lanspa, M., Orme, J., Clemmer, T. P., Weaver, L. K., Thomas, F., Grissom, C. K., Hirshberg, E., East, T. D., Wallace, C. J., Young, M. P., Sittig, D. F., Pesenti, A., Bombino, M., Beck, E., Sward, K. A., Weir, C., Phansalkar, S. S., Bernard, G. R., Taylor Thompson, B., Brower, R., Truwit, J. D., Steingrub, J., Duncan Hite, R., Willson, D. F., Zimmerman, J. J., Nadkarni, V. M., Randolph, A., Curley, M. A. Q., Newth, C. J. L., Lacroix, J., Agus, M. S. D., Lee, K. H., deBoisblanc, B. P., Scott Evans, R., Sorenson, D. K., Wong, A., Boland, M. V., Grainger, D. W., Dere, W. H., Crandall, A. S., Facelli, J. C., Huff, S. M., Haug, P. J., Pielmeier, U., Rees, S. E., Karbing, D. S., Andreassen, S., Fan, E., Goldring, R. M., Berger, K. I., Oppenheimer, B. W., Wesley Ely, E., Gajic, O., Pickering, B., Schoenfeld, D. A., Tocino, I., Gonnering, R. S., Pronovost, P. J., Savitz, L. A., Dreyfuss, D., Slutsky, A. S., Crapo, J. D., Angus, D., Pinsky, M. R., James, B., & Berwick, D. (2021). Enabling a learning healthcare system with automated computer protocols that produce replicable and personalized clinician actions. Journal of the American Medical Informatics Association : JAMIA, 28(6), 1330-1344. https://doi.org/10.1093/jamia/ocaa294
Morris, Alan H, et al. "Enabling a learning healthcare system with automated computer protocols that produce replicable and personalized clinician actions." Journal of the American Medical Informatics Association : JAMIA vol. 28,6 (2021): 1330-1344. doi: https://doi.org/10.1093/jamia/ocaa294
Morris AH, Stagg B, Lanspa M, Orme J, Clemmer TP, Weaver LK, Thomas F, Grissom CK, Hirshberg E, East TD, Wallace CJ, Young MP, Sittig DF, Pesenti A, Bombino M, Beck E, Sward KA, Weir C, Phansalkar SS, Bernard GR, Taylor Thompson B, Brower R, Truwit JD, Steingrub J, Duncan Hite R, Willson DF, Zimmerman JJ, Nadkarni VM, Randolph A, Curley MAQ, Newth CJL, Lacroix J, Agus MSD, Lee KH, deBoisblanc BP, Scott Evans R, Sorenson DK, Wong A, Boland MV, Grainger DW, Dere WH, Crandall AS, Facelli JC, Huff SM, Haug PJ, Pielmeier U, Rees SE, Karbing DS, Andreassen S, Fan E, Goldring RM, Berger KI, Oppenheimer BW, Wesley Ely E, Gajic O, Pickering B, Schoenfeld DA, Tocino I, Gonnering RS, Pronovost PJ, Savitz LA, Dreyfuss D, Slutsky AS, Crapo JD, Angus D, Pinsky MR, James B, Berwick D. Enabling a learning healthcare system with automated computer protocols that produce replicable and personalized clinician actions. J Am Med Inform Assoc. 2021 Jun 12;28(6):1330-1344. doi: 10.1093/jamia/ocaa294. PMID: 33594410; PMCID: PMC8661391.
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An inhibitor-mediated beta-cell dedifferentiation model reveals distinct roles for FoxO1 in glucagon repression and insulin maturation.

Molecular metabolism

Casteels T, Zhang Y, Frogne T, Sturtzel C, Lardeau CH, Sen I, Liu X, Hong S, Pauler FM, Penz T, Brandstetter M, Barbieux C, Berishvili E, Heuser T, Bock C, Riedel CG, Meyer D, Distel M, Hecksher-Sørensen J, Li J, Kubicek S.
PMID: 34454092
Mol Metab. 2021 Aug 25;54:101329. doi: 10.1016/j.molmet.2021.101329. Epub 2021 Aug 25.

OBJECTIVE: The loss of forkhead box protein O1 (FoxO1) signaling in response to metabolic stress contributes to the etiology of type II diabetes, causing the dedifferentiation of pancreatic beta cells to a cell type reminiscent of endocrine progenitors. Lack...

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Casteels T, Zhang Y, Frogne T, et al. An inhibitor-mediated beta-cell dedifferentiation model reveals distinct roles for FoxO1 in glucagon repression and insulin maturation. Mol Metab. 2021;54:101329doi: 10.1016/j.molmet.2021.101329.
Casteels, T., Zhang, Y., Frogne, T., Sturtzel, C., Lardeau, C. H., Sen, I., Liu, X., Hong, S., Pauler, F. M., Penz, T., Brandstetter, M., Barbieux, C., Berishvili, E., Heuser, T., Bock, C., Riedel, C. G., Meyer, D., Distel, M., Hecksher-Sørensen, J., Li, J., & Kubicek, S. (2021). An inhibitor-mediated beta-cell dedifferentiation model reveals distinct roles for FoxO1 in glucagon repression and insulin maturation. Molecular metabolism, 54101329. https://doi.org/10.1016/j.molmet.2021.101329
Casteels, Tamara, et al. "An inhibitor-mediated beta-cell dedifferentiation model reveals distinct roles for FoxO1 in glucagon repression and insulin maturation." Molecular metabolism vol. 54 (2021): 101329. doi: https://doi.org/10.1016/j.molmet.2021.101329
Casteels T, Zhang Y, Frogne T, Sturtzel C, Lardeau CH, Sen I, Liu X, Hong S, Pauler FM, Penz T, Brandstetter M, Barbieux C, Berishvili E, Heuser T, Bock C, Riedel CG, Meyer D, Distel M, Hecksher-Sørensen J, Li J, Kubicek S. An inhibitor-mediated beta-cell dedifferentiation model reveals distinct roles for FoxO1 in glucagon repression and insulin maturation. Mol Metab. 2021 Aug 25;54:101329. doi: 10.1016/j.molmet.2021.101329. Epub 2021 Aug 25. PMID: 34454092; PMCID: PMC8476777.
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Showing 1129 to 1132 of 1132 entries