Search

Your search keyword '"Houdt, R. Van"' showing total 5 results
Start Over Author "Houdt, R. Van" Database OpenAIRE
5 results on '"Houdt, R. Van"'

2. Progression of liver fibrosis following acute hepatitis C virus infection in HIV-positive MSM

Author

Newsum, A.M., Kooij, K.W., Boyd, A., Smit, C., Wit, F.W.N.M., Meer, J.T.M. van der, Prins, M., Reiss, P., Valk, M. van der, Eden, H. van, Molenkamp, R., Pijnappel, F., Reesink, H.W., Schinkel, J., Steba, G.S., Berk, G.E.L. van den, Brinkman, K., Hooijenga, I., Kwa, D., Meche, N. van der, Toonen, A., Vos, D., Broekhuizen, M. van, Lauw, E.N., Mulder, J.W., Arend, J.E., Kessel, A. van, Silvius, B., Versloot, M., Boonstra, A., Rijnders, B.J.A., Brokking, W., Eeden, A. van, Elsenburg, L., Nobel, H.E., Laar, T.J.W. van de, Veldt, W. van der, Geerlings, S.E., Goorhuis, A., Hovius, J.W., Lempkes, B., Nellen, F.J.B., Poll, T. van der, Prins, J.M., Vugt, M. van, Wiersinga, W.J., Duinen, M. van, Eden, J. van, Hazenberg, A., Hes, A.M.H. van, Pijnappel, F.J.J., Smalhout, S.Y., Weijsenfeld, A.M., Jurriaans, S., Back, N.K.T., Zaaijer, H.L., Berkhout, B., Cornelissen, M.T.E., Schinkel, C.J., Wolthers, K.C., Peters, E.J.G., Agtmael, M.A. van, Bomers, M., Sigaloff, K.C.E., Heitmuller, M., Laan, L.M., Ang, C.W., Houdt, R. van, Jonges, M., Pettersson, A.M., Prehn, J. van, Berge, M. van den, Stegeman, A., Baas, S., Looff, L.H. de, Wintermans, B., Veenemans, J., Pronk, M.J.H., Ammerloan, H.S.M., Munnik, E.S. de, Jansz, A.R., Tjhie, J., Wegdam, M.C.A., Deiman, B., Scharnhorst, V., Elsenburg, L.J.M., Nobel, H., Damen, M., Kasteren, M.E.E. van, Berrevoets, M.A.H., Brouwer, A.E., Adams, A., Kruijf-van de Wiel, B.A.E. de, Keelan-Pfaf, S., Ven, B. van de, Ven, B. van der, Buiting, A.G.M., Murck, J.L., Versteeg, D., Ende, M.E. van der, Box, H.I., Gorp, E.C.M. van, Nouwen, J.L., Schurink, C.A.M., Verbon, A., Vries-Sluijs, T.E.M.S. de, Jong-Peltenburg, N.C. de, Bassant, N., Beek, J.E.A. van, Vriesde, M., Zonneveld, L.M. van, Berg-Cameron, H.J. van den, Groot, J. de, Boucher, C.A.B., Koopmans, M.P.G., Kampen, J.J.A. van, Branger, J., Douma, R.A., Duijf-van de Ven, C.J.H.M., Schippers, E.F., Nieuwkoop, C. van, IJperen, J.M. van, Geilings, J., Hut, G. van der, Burgel, N.D. van, Leyten, E.M.S., Gelinck, L.B.S., Mollema, F., Davids-Veldhuis, S., Hartingsveld, A.Y. van, Wildenbeest, G.S., Heikens, E., Groeneveld, P.H.P., Bouwhuis, J.W., Lammers, A.J.J., Kraan, S., Hulzen, A.G.W. van, Kruiper, M.S.M., Bliek, G.L. van der, Bor, P.C.J., Bloembergen, P., Wolthagen, M.H.M., Ruijs, G.J.H.M., Kroon, E., Boer, M.G.J. de, Scheper, H., Jolink, H., Dorama, W., Holten, N. van, Claas, E.C.J., Wessels, E., Hollander, J.G. den, Pogany, K., Roukens, A., Douma, R., Kastelijns, M., Smit, J.V., Smit, E., Struik-Kalkman, D., Tearno, C., Niekerk, T. van, Pontesilli, O., Lowe, S.H., Lashof, A.M.L.O., Posthouwer, D., Ackens, R.P., Burgers, K., Schippers, J., Enberg-Maes, B.W., Loo, I.H.M. van, Havenith, T.R.A., Vrouenraets, S.M.E., Broekhuizen, M.C. van, Vlasblom, D.J., Kroeze, M., Smits, P.H.M., Weijer, S., Moussaoui, R. el, Bosma, A.S., Vonderen, M.G.A. van, Kampschreur, L.M., Faber, S., Steeman-Bouma, R., Wed, J., Kootstra, G.J., Delsing, C.E., Burg-van de Plas, M. van der, Heins, H., Kortmann, W., Twillert, G. van, Renckens, R., Ruiter-Pronk, D., Truijen-Oud, E.A. van, Stuart, J.W.T.C., Jansen, E.R., Hoogewerf, M., Rozemeijer, W., Reijden, W.A. van der, Sinnige, J.C., Blok, W.L., Frissen, P.H.J., Lettinga, K.D., Schouten, W.E.M., Veenstra, J., Brouwer, C.J., Geerders, G.E., Hoeksema, K., Kleene, M.J., Knapen, M., Meche, I.B. van der, Mulder-Seeleman, E., Toonen, A.J.M., Wijnands, S., Crevel, R. van, Dofferhoff, A.S.M., Hofstede, H.J.M. ter, Hoogerwerf, J., Keuter, M., Richel, O., Albers, M., Grintjes-Huisman, K.J.T., Haan, M. de, Marneef, M., Strik-Albers, R., Rahamat-Langendoen, J., Stelma, E.E., Burger, D., Gisolf, E.H., Hassing, R.J., Claassen, M., Beest, G. ter, Bentum, P.H.M. van, Langebeek, N., Tiemessen, R., Swanink, C.M.A., Lelyveld, S.F.L. van, Soetekouw, R., Prijt, L.M.M. van der, Swaluw, J. van der, Bermon, N., Jansen, R., Herpers, B.L., Veenendaal, D., Verhagen, D.W.M., Wijk, M. van, Bierman, W.F.W., Bakker, M., Kleinnij, APH - Global Health, AII - Infectious diseases, Graduate School, Infectious diseases, APH - Aging & Later Life, Global Health, APH - Methodology, APH - Digital Health, APH - Personalized Medicine, Gastroenterology & Hepatology, Internal Medicine, Virology, Medical Microbiology & Infectious Diseases, Med Microbiol, Infect Dis & Infect Prev, MUMC+: DA MMI Staf (9), RS: CAPHRI - R4 - Health Inequities and Societal Participation, MUMC+: TPZ Verpleegkundig Team Infectieziekten (9), MUMC+: DA MMI Infectieserologie (9), MUMC+: DA MMI AIOS (9), MUMC+: DA KFT Medische Staf (9), Anatomy and neurosciences, Amsterdam Movement Sciences - Rehabilitation & Development, Internal medicine, and Microbes in Health and Disease (MHD)

Subjects
Liver Cirrhosis, Male, 0301 basic medicine, HIV Infections, Disease, DISEASE, 0302 clinical medicine, ANTIRETROVIRAL THERAPY, STAGE, Interquartile range, HEPATOCELLULAR-CARCINOMA, Immunology and Allergy, 030212 general & internal medicine, Immunodeficiency, Netherlands, liver fibrosis, RISK, education.field_of_study, IMMUNODEFICIENCY, Coinfection, HIV/hepatitis C virus coinfection, MEN, Hepatitis C, Markov Chains, Infectious Diseases, Hepatocellular carcinoma, Disease Progression, SEX, Adult, medicine.medical_specialty, Population, Immunology, acute hepatitis C virus infection, 03 medical and health sciences, SDG 3 - Good Health and Well-being, Internal medicine, medicine, Humans, MSM, Homosexuality, Male, education, Retrospective Studies, Hepatitis, business.industry, fibrosis-4, Retrospective cohort study, NONINVASIVE INDEX, medicine.disease, Confidence interval, INDIVIDUALS, 030104 developmental biology, business
Abstract

Background: Whether continued, accelerated liver fibrosis progression occurs following acute hepatitis C virus infection (AHCVI) in HIV-positive MSM is unknown.Design and methods: HIV-positive MSM from the AIDS Therapy Evaluation in the Netherlands and MSM Observational Study for Acute Infection with Hepatitis C-cohorts with primary AHCVI and at least one fibrosis-4 (FIB-4) measurement less than 2 years before and 1 year after estimated AHCVI were included. Mixed-effect linear models were used to evaluate (time-updated) determinants of FIB-4 levels over time. Determinants of transitioning to and from FIB-4 1.45 were examined using multistate Markov models.Results: Of 313 MSM, median FIB-4 measurements per individual was 12 (interquartile range = 8-18) and median follow-up following AHCVI was 3.5 years (interquartile range = 1.9-5.6). FIB-4 measurements averaged at 1.00 [95% confidence interval (CI) = 0.95-1.05] before AHCVI, 1.31 (95% CI = 1.25-1.38) during the first year of AHCVI and 1.10 (95% CI = 1.05-1.15) more than 1 year after AHCVI. Mean FIB-4 more than 1 year after AHCVI was higher for chronically infected patients compared with those successfully treated (P = 0.007). Overall FIB-4 scores were significantly higher with older age, lower CD4(+) cell count, longer duration from HIV-diagnosis or AHCVI, and nonresponse to HCV-treatment. At the end of follow-up, 60 (19.2%) and eight MSM (2.6%) had FIB-4 between 1.45-3.25 and >= 3.25, respectively. Older age, lower CD4(+) cell count and detectable HIV-RNA were significantly associated with higher rates of progression to FIB-4 > 1.45, whereas older age, longer duration from HIV-diagnosis and nonresponse to HCV-treatment were significantly associated with lower rates of regression to FIB-4Conclusion: In this population of HIV-positive MSM, FIB-4 scores were higher during the first year of AHCVI, but FIB-4 >= 3.25 was uncommon by the end of follow-up. Well controlled HIV-infection appears to attenuate FIB-4 progression. Copyright (C) 2019 Wolters Kluwer Health, Inc. All rights reserved.

Published
2019
Full Text
View/download PDF

3. Predictive Performance of Cardiovascular Disease Risk Prediction Algorithms in People Living With HIV

Author

Zoest, R.A. van, Law, M., Sabin, C.A., Vaartjes, I., Valk, M. van der, Arends, J.E., Reiss, P., Wit, F.W., Geerlings, S.E., Godfried, M.H., Goorhuis, A., Hovius, J.W., Kuijpers, T.W., Nellen, F.J.B., Poll, D.T. van der, Prins, J.M., Vugt, H.J.M. van, Wiersinga, W.J., Wit, F.W.M.N., Duinen, M. van, Eden, J. van, Hes, A.M.H. van, Pijnappel, F.J.J., Weijsenfeld, A.M., Jurriaans, S., Back, N.K.T., Zaaijer, H.L., Berkhout, B., Cornelissen, M.T.E., Schinkel, C.J., Wolthers, K.C., Peters, E.J.G., Agtmael, M.A. van, Bomers, M., Heitmuller, M., Laan, L.M., Ang, C.W., Houdt, R. van, Pettersson, A.M., Vandenbroucke-Grauls, C.M.J.E., Berge, M. van den, Stegeman, A., Baas, S., Looff, L.H. de, Wintermans, B., Veenemans, J., Pronk, M.J.H., Ammerlaan, H.S.M., Munnik, E.S. de, Jansz, A.R., Tjhie, J., Wegdam, M.C.A., Deiman, B., Scharnhorst, V., Eeden, A. van, Brokking, W., Groot, M., Elsenburg, L.J.M., Damen, M., Kwa, I.S., Kasteren, M.E.E. van, Brouwer, A.E., Erve, R. van, Kruijf-van de Wiel, B.A.F.M. de, Ven, B. van de, Buiting, A.G.M., Kabel, P.J., Versteeg, D., Ende, M.E. van der, Bax, H.I., Gorp, E.C.M. van, Nouwen, J.L., Rijnders, B.J.A., Schurink, C.A.M., Verbon, A., Vries-Sluijs, T.E.M.S. de, Jong-Peltenburg, N.C. de, Bassant, N., Beek, J.E.A. van, Vriesde, M., Zonneveld, L.M. van, Berg-Cameron, H.J. van den, Groot, J. de, Zeeuw-de Man, M. de, Boucher, C.A.B., Koopmans, M.P.G., Kampen, J.J.A. van, Pas, S.D., Branger, J., Douma, R.A., Duijf-van de Ven, C.J.H.M., Schippers, E.F., Nieuwkoop, C. van, IJperen, J.M. van, Geilings, J., Hut, G. van der, Burgel, N.D. van, Leyten, E.M.S., Gelinck, L.B.S., Davids-Veldhuis, S., Hartingsveld, A.Y. van, Meerkerk, C., Wildenbeest, G.S., Heikens, E., Groeneveld, P.H.P., Bouwhuis, J.W., Lammers, A.J.J., Kraan, S., Hulzen, A.G.W. van, Kruiper, M.S.M., Bliek, G.L. van der, Bor, P.C.J., Bloembergen, P., Wolfhagen, M.J.H.M., Ruijs, G.J.H.M., Kroon, F.P., Boer, M.G.J. de, Scheper, H., Jolink, H., Dorama, W., Holten, N. van, Claas, E.C.J., Wessels, E., Hollander, J.G. den, Pogany, K., Roukens, A., Kastelijns, M., Smit, J.V., Smit, E., Struik-Kalkman, D., Tearno, C., Niekerk, T. van, Pontesilli, O., Lowe, S.H., Lashof, A.M.L.O., Posthouwer, D., Ackens, R.P., Burgers, K., Schippers, J., Weijenberg-Maes, B., Loo, I.H.M. van, Havenith, T.R.A., Mulder, J.W., Vrouenraets, S.M.E., Lauw, F.N., Broekhuizen, M.C. van, Vlasblom, D.J., Smits, P.H.M., Weijer, S., Moussaoui, R. el, Bosma, A.S., Vonderen, M.G.A. van, Kampschreur, L.M., Dijkstra, K., Faber, S., Weel, J., Kootstra, G.J., Delsing, C.E., Burg-van de Plas, M. van der, Heins, H., Kortmann, W., Twillert, G. van, Renckens, R., Ruiter-Pronk, D., Truijen-Oud, F.A. van, Stuart, J.W.T.C., IJzerman, E.P., Jansen, R., Reijden, W.A. van der, Brinkman, K., Berk, G.E.L. van den, Blok, W.L., Frissen, P.H.J., Lettinga, K.D., Schouten, W.E.M., Veenstra, J., Brouwer, C.J., Geerders, G.F., Hoeksema, K., Kleene, M.J., Meche, I.B. van der, Spelbrink, M., Toonen, A.J.M., Wijnands, S., Kwa, D., Regez, R., Crevel, R. van, Keuter, M., Ven, A.J.A.M. van der, Hofstede, H.J.M. ter, Dofferhoff, A.S.M., Hoogerwerf, J., Grintjes-Huisman, K.J.T., Haan, M. de, Marneef, M., Rahamat-Langendoen, J., Stelma, F.F., Burger, D., Gisolf, E.H., Hassing, R.J., Claassen, M., Beest, G. ter, Bentum, P.H.M. van, Langebeek, N., Tiemessen, R., Swanink, C.M.A., Lelyveld, S.F.L. van, Soetekouw, R., Prijt, L.M.M. van der, Swaluw, J. van der, Bermon, N., Herpers, B.L., Veenendaal, D., Verhagen, D.W.M., Wijk, M. van, Bierman, W.F.W., Bakker, M., Kleinnijenhuis, J., Kloeze, E., Stienstra, Y., Wilting, K.R., Wouthuyzen-Bakker, M., Boonstra, A., Meulen, P.A. van der, Weerd, D.A. de, Niesters, H.G.M., Leer-Buter, C.C. van, Knoester, M., Hoepelman, A.I.M., Barth, R.E., Bruns, A.H.W., Ellerbroek, P.M., Mudrikova, T., Oosterheert, J.J., Schadd, E.M., Wassenberg, M.W.M., Zoelen, M.A.D. van, Aarsman, K., Elst-Laurijssen, D.H., Rozemeijer, Graduate School, AII - Infectious diseases, APH - Aging & Later Life, Infectious diseases, Global Health, APH - Digital Health, APH - Personalized Medicine, APH - Global Health, Microbes in Health and Disease (MHD), Neurochirurgie, RS: MHeNs - R3 - Neuroscience, Med Microbiol, Infect Dis & Infect Prev, MUMC+: DA MMI Staf (9), RS: CAPHRI - R4 - Health Inequities and Societal Participation, Internal medicine, Pediatric surgery, Amsterdam Movement Sciences - Rehabilitation & Development, ACS - Diabetes & metabolism, AGEM - Digestive immunity, Medical Microbiology and Infection Prevention, Amsterdam Reproduction & Development (AR&D), Internal Medicine, Virology, and Medical Microbiology & Infectious Diseases

Subjects
Male, Heart disease, Human immunodeficiency virus (HIV), risk prediction algorithms, Blood Pressure, HIV Infections, Disease, 030312 virology, medicine.disease_cause, SUBCLINICAL ATHEROSCLEROSIS, Risk Factors, cardiovascular disease, FRAMINGHAM, Pharmacology (medical), Netherlands, 0303 health sciences, INFECTED PATIENTS, Framingham Risk Score, Middle Aged, Prediction algorithms, Cholesterol, Infectious Diseases, Anti-Retroviral Agents, Cardiovascular Diseases, HUMAN-IMMUNODEFICIENCY-VIRUS, Female, Risk assessment, Algorithms, Adult, Anti-HIV Agents, CARDIOLOGY/AMERICAN HEART ASSOCIATION, HEART-DISEASE, AMERICAN-COLLEGE, DATA-COLLECTION, Risk Assessment, EVENTS, 03 medical and health sciences, SDG 3 - Good Health and Well-being, INFLAMMATION, Environmental health, SCORE, medicine, Humans, Propensity Score, business.industry, HIV, medicine.disease, CD4 Lymphocyte Count, MYOCARDIAL-INFARCTION, Propensity score matching, Disease risk, business
Abstract

Background: People living with HIV (PLWH) experience a higher cardiovascular disease (CVD) risk. Yet, traditional algorithms are often used to estimate CVD risk. We evaluated the performance of 4 commonly used algorithms.Setting: The Netherlands.Methods: We used data from 16,070 PLWH aged > 18 years, who were in care between 2000 and 2016, had no pre-existing CVD, had initiated first combination antiretroviral therapy >1 year ago, and had available data on CD4 count, smoking status, cholesterol, and blood pressure. Predictive performance of 4 algorithms [Data Collection on Adverse Effects of Anti-HIV Drugs Study (D: A: D); Systematic COronary Risk Evaluation adjusted for national data (SCORE-NL); Framingham CVD Risk Score (FRS); and American College of Cardiology and American Heart Association Pooled Cohort Equations (PCE)] was evaluated using a Kaplan-Meier approach. Model discrimination was assessed using Harrell's C-statistic. Calibration was assessed using observed-versusexpected ratios, calibration plots, and Greenwood-Nam-D'Agostino goodness-of-fit tests.Results: All algorithms showed acceptable discrimination (Harrell's C-statistic 0.73-0.79). On a population level, D: A: D, SCORE-NL, and PCE slightly underestimated, whereas FRS slightly overestimated CVD risk (observed-versus-expected ratios 1.35, 1.38, 1.14, and 0.92, respectively). D: A: D, FRS, and PCE best fitted our data but still yielded a statistically significant lack of fit (Greenwood-Nam-D'Agostino chi(2) ranged from 24.57 to 34.22, P Conclusions: All algorithms perform reasonably well in PLWH, with SCORE-NL performing poorest. Prediction algorithms are useful for clinical practice, but clinicians should be aware of their limitations (ie, lack of fit and slight underestimation of CVD risk in low-risk groups).

Published
2019
Full Text
View/download PDF

4. An iron detection system determines bacterial swarming initiation and biofilm formation

Author

Lin, Chuan-Sheng, Tsai, Yu-Huan, Chang, Chih-Jung, Tseng, Shun-Fu, Wu, Tsung-Ru, Lu, Chia-Chen, Wu, Ting-Shu, Lu, Jang-Jih, Horng, Jim-Tong, Martel, Jan, Ojcius, David M., Lai, Hsin-Chih, Young, John D., Andrews, S. C., Robinson, A. K., Rodriguez-Quinones, F., Touati, D., Yeom, J., Imlay, J. A., Park, W., Marx, J. J., Braun, V., Hantke, K., Cornelis, P., Wei, Q., Vinckx, T., Troxell, B., Hassan, H. M., Verstraeten, N., Lewis, K., Hall-Stoodley, L., Costerton, J. W., Stoodley, P., Kearns, D. B., Losick, R., Butler, M. T., Wang, Q., Harshey, R. M., Lai, S., Tremblay, J., Deziel, E., Overhage, J., Bains, M., Brazas, M. D., Hancock, R. E., Partridge, J. D., Kim, W., Surette, M. G., Givskov, M., Rather, P. N., Houdt, R. Van, Michiels, C. W., Mukherjee, S., Inoue, T., Frye, J. G., McClelland, M., McCarter, L., Silverman, M., Matilla, M. A., Wu, Y., Outten, F. W., Singh, P. K., Parsek, M. R., Greenberg, E. P., Welsh, M. J., Banin, E., Vasil, M. L., Wosten, M. M., Kox, L. F., Chamnongpol, S., Soncini, F. C., Groisman, E. A., Laub, M. T., Goulian, M., Krell, T., Lai, H. C., Lin, C. S., Soo, P. C., Tsai, Y. H., Wei, J. R., Wyckoff, E. E., Mey, A. R., Leimbach, A., Fisher, C. F., Payne, S. M., Livak, K. J., Schmittgen, T. D., Clarke, M. B., Hughes, D. T., Zhu, C., Boedeker, E. C., Sperandio, V., Stintzi, A., Clarke-Pearson, M. F., Brady, S. F., Drake, E. J., Gulick, A. M., Qaisar, U., Rowland, M. A., Deeds, E. J., Garcia, C. A., Alcaraz, E. S., Franco, M. A., Rossi, B. N. Passerini de, Mehi, O., Skaar, E. P., Visaggio, D., Nishino, K., Dietz, P., Gerlach, G., Beier, D., Bustin, S. A., Schwyn, B., Neilands, J. B., Sub algemeen U-talent, Dep Biologie, Sub Inorganic Chemistry and Catalysis, LS Infectiebiologie (Bacteriologie), Sub Condensed Matter and Interfaces, SGPL Stadsgeografie, and dI&I I&I-2

Subjects
0301 basic medicine, inorganic chemicals, Iron, 030106 microbiology, Swarming (honey bee), Microbial communities, Flagellum, Bacterial Physiological Phenomena, Models, Biological, Article, Microbiology, 03 medical and health sciences, Bacterial Proteins, Models, Coumarins, Bacteriology, Serratia marcescens, Multidisciplinary, biology, Biofilm, Bacterial, Gene Expression Regulation, Bacterial, biochemical phenomena, metabolism, and nutrition, biology.organism_classification, Biological, Cell biology, Gene Expression Regulation, Flagella, Biofilms, Signal transduction, Bacteria, Signal Transduction
Abstract

Iron availability affects swarming and biofilm formation in various bacterial species. However, how bacteria sense iron and coordinate swarming and biofilm formation remains unclear. Using Serratia marcescens as a model organism, we identify here a stage-specific iron-regulatory machinery comprising a two-component system (TCS) and the TCS-regulated iron chelator 2-isocyano-6,7-dihydroxycoumarin (ICDH-Coumarin) that directly senses and modulates environmental ferric iron (Fe3+) availability to determine swarming initiation and biofilm formation. We demonstrate that the two-component system RssA-RssB (RssAB) directly senses environmental ferric iron (Fe3+) and transcriptionally modulates biosynthesis of flagella and the iron chelator ICDH-Coumarin whose production requires the pvc cluster. Addition of Fe3+, or loss of ICDH-Coumarin due to pvc deletion results in prolonged RssAB signaling activation, leading to delayed swarming initiation and increased biofilm formation. We further show that ICDH-Coumarin is able to chelate Fe3+ to switch off RssAB signaling, triggering swarming initiation and biofilm reduction. Our findings reveal a novel cellular system that senses iron levels to regulate bacterial surface lifestyle.

Published
2016
Full Text
View/download PDF

5. An iron detection system determines bacterial swarming initiation and biofilm formation

Author

Lin, Chuan-Sheng, Tsai, Yu-Huan, Chang, Chih-Jung, Tseng, Shun-Fu, Wu, Tsung-Ru, Lu, Chia-Chen, Wu, Ting-Shu, Lu, Jang-Jih, Horng, Jim-Tong, Martel, Jan, Ojcius, David M., Lai, Hsin-Chih, Young, John D., Andrews, S. C., Robinson, A. K., Rodriguez-Quinones, F., Touati, D., Yeom, J., Imlay, J. A., Park, W., Marx, J. J., Braun, V., Hantke, K., Cornelis, P., Wei, Q., Vinckx, T., Troxell, B., Hassan, H. M., Verstraeten, N., Lewis, K., Hall-Stoodley, L., Costerton, J. W., Stoodley, P., Kearns, D. B., Losick, R., Butler, M. T., Wang, Q., Harshey, R. M., Lai, S., Tremblay, J., Deziel, E., Overhage, J., Bains, M., Brazas, M. D., Hancock, R. E., Partridge, J. D., Kim, W., Surette, M. G., Givskov, M., Rather, P. N., Houdt, R. Van, Michiels, C. W., Mukherjee, S., Inoue, T., Frye, J. G., McClelland, M., McCarter, L., Silverman, M., Matilla, M. A., Wu, Y., Outten, F. W., Singh, P. K., Parsek, M. R., Greenberg, E. P., Welsh, M. J., Banin, E., Vasil, M. L., Wosten, M. M., Kox, L. F., Chamnongpol, S., Soncini, F. C., Groisman, E. A., Laub, M. T., Goulian, M., Krell, T., Lai, H. C., Lin, C. S., Soo, P. C., Tsai, Y. H., Wei, J. R., Wyckoff, E. E., Mey, A. R., Leimbach, A., Fisher, C. F., Payne, S. M., Livak, K. J., Schmittgen, T. D., Clarke, M. B., Hughes, D. T., Zhu, C., Boedeker, E. C., Sperandio, V., Stintzi, A., Clarke-Pearson, M. F., Brady, S. F., Drake, E. J., Gulick, A. M., Qaisar, U., Rowland, M. A., Deeds, E. J., Garcia, C. A., Alcaraz, E. S., Franco, M. A., Rossi, B. N. Passerini de, Mehi, O., Skaar, E. P., Visaggio, D., Nishino, K., Dietz, P., Gerlach, G., Beier, D., Bustin, S. A., Schwyn, B., Neilands, J. B., Sub algemeen U-talent, Dep Biologie, Sub Inorganic Chemistry and Catalysis, LS Infectiebiologie (Bacteriologie), Sub Condensed Matter and Interfaces, SGPL Stadsgeografie, and dI&I I&I-2

Subjects
Biofilms, Bacteriology, Microbial communities
Abstract

Iron availability affects swarming and biofilm formation in various bacterial species. However, how bacteria sense iron and coordinate swarming and biofilm formation remains unclear. Using Serratia marcescens as a model organism, we identify here a stage-specific iron-regulatory machinery comprising a two-component system (TCS) and the TCS-regulated iron chelator 2-isocyano-6,7-dihydroxycoumarin (ICDH-Coumarin) that directly senses and modulates environmental ferric iron (Fe3+) availability to determine swarming initiation and biofilm formation. We demonstrate that the two-component system RssA-RssB (RssAB) directly senses environmental ferric iron (Fe3+) and transcriptionally modulates biosynthesis of flagella and the iron chelator ICDH-Coumarin whose production requires the pvc cluster. Addition of Fe3+, or loss of ICDH-Coumarin due to pvc deletion results in prolonged RssAB signaling activation, leading to delayed swarming initiation and increased biofilm formation. We further show that ICDH-Coumarin is able to chelate Fe3+ to switch off RssAB signaling, triggering swarming initiation and biofilm reduction. Our findings reveal a novel cellular system that senses iron levels to regulate bacterial surface lifestyle.

Published
2016

Catalog

Books, media, physical & digital resources
See catalog results