Connection
Xiyuan Bai to NF-kappa B
This is a "connection" page, showing publications Xiyuan Bai has written about NF-kappa B.
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Connection Strength |
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![](https://profiles.ucdenver.edu/Framework/Images/connection_left.gif) |
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![](https://profiles.ucdenver.edu/Framework/Images/connection_right.gif) |
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0.874 |
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Bai X, Feldman NE, Chmura K, Ovrutsky AR, Su WL, Griffin L, Pyeon D, McGibney MT, Strand MJ, Numata M, Murakami S, Gaido L, Honda JR, Kinney WH, Oberley-Deegan RE, Voelker DR, Ordway DJ, Chan ED. Inhibition of nuclear factor-kappa B activation decreases survival of Mycobacterium tuberculosis in human macrophages. PLoS One. 2013; 8(4):e61925.
Score: 0.341
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Bai X, Bai A, Tomasicchio M, Hagman JR, Buckle AM, Gupta A, Kadiyala V, Bevers S, Serban KA, Kim K, Feng Z, Spendier K, Hagen G, Fornis L, Griffith DE, Dzieciatkowska M, Sandhaus RA, Gerber AN, Chan ED. a1-Antitrypsin Binds to the Glucocorticoid Receptor with Anti-Inflammatory and Antimycobacterial Significance in Macrophages. J Immunol. 2022 11 01; 209(9):1746-1759.
Score: 0.164
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Bai X, Stitzel JA, Bai A, Zambrano CA, Phillips M, Marrack P, Chan ED. Nicotine Impairs Macrophage Control of Mycobacterium tuberculosis. Am J Respir Cell Mol Biol. 2017 09; 57(3):324-333.
Score: 0.115
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Bai X, Oberley-Deegan RE, Bai A, Ovrutsky AR, Kinney WH, Weaver M, Zhang G, Honda JR, Chan ED. Curcumin enhances human macrophage control of Mycobacterium tuberculosis infection. Respirology. 2016 Jul; 21(5):951-7.
Score: 0.104
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Bai X, Ovrutsky AR, Kartalija M, Chmura K, Kamali A, Honda JR, Oberley-Deegan RE, Dinarello CA, Crapo JD, Chang LY, Chan ED. IL-32 expression in the airway epithelial cells of patients with Mycobacterium avium complex lung disease. Int Immunol. 2011 Nov; 23(11):679-91.
Score: 0.077
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Bai X, Chmura K, Ovrutsky AR, Bowler RP, Scheinman RI, Oberley-Deegan RE, Liu H, Shang S, Ordway D, Chan ED. Mycobacterium tuberculosis increases IP-10 and MIG protein despite inhibition of IP-10 and MIG transcription. Tuberculosis (Edinb). 2011 Jan; 91(1):26-35.
Score: 0.072
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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