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153. Modulation of plant chemistry by rhizosphere bacteria

Author

Jeon, J., Raaijmakers, J.M., Etalo, D.W., Wezel, G.P. van, Offringa, R., Balazadeh, S., Choi, Y.H., Bouwmeester, H.J., Hall, R.D., and Leiden University

Subjects
Flavonoids, Induced systemic resistance, Plant metabolomics, fungi, Broccoli, Metabolic alterations, Arabidopsis, food and beverages, Phenylpropanoids, Beneficial rhizobacteria, Non-targeted metabolomics, Gene expression, Bacteria-plant interactions
Abstract

Plant-microbe interaction resulted in different physio/chemical responses by host plant and interacting rhizobacteria. This thesis focuses on how different plants and rhizobacteria combinations modulate plant metabolism. Factorial combinations of different plant species, including Arabidopsis thaliana (model plant), Brassica oleracea var. italica (crop) and Artemisia annua (medicinal plant), and phylogenetically distinct rhizobacterial species, including Pseudomonas fluorescens SS101 (Pf SS101), Microbacterium and three Paraburkholderia species, were used as study model systems in this thesis. Untargeted metabolomics was used to assess the impact of these rhizobacteria on the shoot chemistry of the host plant species. This study revealed that root treatment of different plant species with rhizobacteria altered 18-78% of the detected plant secondary metabolites in the shoot. We also assessed the impact of a known bacterial trait on plant phenotype and chemistry. cysH mutation of Pf SS101 affected the chain elongation of aliphatic glucosinolate biosynthesis in Arabidopsis whereas it led to an accumulation of indolic glucosinolates and flavonoids in Broccoli. To further discover the bacterial traits affected during the interaction with Broccoli roots, genome wide transcriptome analysis was carried out, resulting in upregulation of genes involved in flagellar assembly, chemotaxis, and motility together with nutrient uptake and (an)ion transporter in Paraburkholderia species.

Published
2020

154. CREAM-Pushing the high energy frontier of directly measured cosmic rays

Author

Ganel, O., Ahn, H. S., Allison, P., Bagliesi, M. G., Beatty, J. J., Bigongiari, G., Boyle, P., Childers, J. T., Conklin, N. B., Coutu, S., Duvernois, M. A., Han, J. H., Hyun, H. J., Jeon, J. A., Kim, K. C., Lee, J. K., Lee, M. H., Lutz, L., Maestro, P., Malinin, A., Marrocchesi, P. S., Minnick, S., Mognet, S. I., Nam, S. W., Nutter, S., Park, H., Park, I. H., Park, N. H., Seo, E. S., Swordy, S., Sina, R., Wakely, S., Wu, J., Yang, J., Yoon, Y. S., Zei, R., and Zinn, S. Y.

Published
2006
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157. Growth differentiation factor 15 protects against the aging-mediated systemic inflammatory response in humans and mice.

Author

Moon, JS, Goeminne, LJE, Kim, JT, Tian, JW, Kim, S-H, Nga, HT, Kang, SG, Kang, BE, Byun, J-S, Lee, Y-S, Jeon, J-H, Shong, M, Auwerx, J, Ryu, D, Yi, H-S, Moon, JS, Goeminne, LJE, Kim, JT, Tian, JW, Kim, S-H, Nga, HT, Kang, SG, Kang, BE, Byun, J-S, Lee, Y-S, Jeon, J-H, Shong, M, Auwerx, J, Ryu, D, and Yi, H-S

Abstract

Mitochondrial dysfunction is associated with aging-mediated inflammatory responses, leading to metabolic deterioration, development of insulin resistance, and type 2 diabetes. Growth differentiation factor 15 (GDF15) is an important mitokine generated in response to mitochondrial stress and dysfunction; however, the implications of GDF15 to the aging process are poorly understood in mammals. In this study, we identified a link between mitochondrial stress-induced GDF15 production and protection from tissue inflammation on aging in humans and mice. We observed an increase in serum levels and hepatic expression of GDF15 as well as pro-inflammatory cytokines in elderly subjects. Circulating levels of cell-free mitochondrial DNA were significantly higher in elderly subjects with elevated serum levels of GDF15. In the BXD mouse reference population, mice with metabolic impairments and shorter survival were found to exhibit higher hepatic Gdf15 expression. Mendelian randomization links reduced GDF15 expression in human blood to increased body weight and inflammation. GDF15 deficiency promotes tissue inflammation by increasing the activation of resident immune cells in metabolic organs, such as in the liver and adipose tissues of 20-month-old mice. Aging also results in more severe liver injury and hepatic fat deposition in Gdf15-deficient mice. Although GDF15 is not required for Th17 cell differentiation and IL-17 production in Th17 cells, GDF15 contributes to regulatory T-cell-mediated suppression of conventional T-cell activation and inflammatory cytokines. Taken together, these data reveal that GDF15 is indispensable for attenuating aging-mediated local and systemic inflammation, thereby maintaining glucose homeostasis and insulin sensitivity in humans and mice.

Published
2020

158. Cumulative Burden of Colorectal Cancer Associated Genetic Variants Is More Strongly Associated With Early-Onset vs Late-Onset Cancer

Author

Archambault, AN, Su, Y-R, Jeon, J, Thomas, M, Lin, Y, Conti, DV, Win, AK, Sakoda, LC, Lansdorp-Vogelaar, I, Peterse, EFP, Zauber, AG, Duggan, D, Holowatyj, AN, Huyghe, JR, Brenner, H, Cotterchio, M, Bezieau, S, Schmit, SL, Edlund, CK, Southey, MC, MacInnis, RJ, Campbell, PT, Chang-Claude, J, Slattery, ML, Chan, AT, Joshi, AD, Song, M, Cao, Y, Woods, MO, White, E, Weinstein, SJ, Ulrich, CM, Hoffmeister, M, Bien, SA, Harrison, TA, Hampe, J, Li, CI, Schafmayer, C, Offit, K, Pharoah, PD, Moreno, V, Lindblom, A, Wolk, A, Wu, AH, Li, L, Gunter, MJ, Gsur, A, Keku, TO, Pearlman, R, Bishop, DT, Castellvi-Bel, S, Moreira, L, Vodicka, P, Kampman, E, Giles, GG, Albanes, D, Baron, JA, Berndt, SI, Brezina, S, Buch, S, Buchanan, DD, Trichopoulou, A, Severi, G, Chirlaque, M-D, Sanchez, M-J, Palli, D, Kuhn, T, Murphy, N, Cross, AJ, Burnett-Hartman, AN, Chanock, SJ, de la Chapelle, A, Easton, DF, Elliott, F, English, DR, Feskens, EJM, FitzGerald, LM, Goodman, PJ, Hopper, JL, Hudson, TJ, Hunter, DJ, Jacobs, EJ, Joshu, CE, Kury, S, Markowitz, SD, Milne, RL, Platz, EA, Rennert, G, Rennert, HS, Schumacher, FR, Sandler, RS, Seminara, D, Tangen, CM, Thibodeau, SN, Toland, AE, van Duijnhoven, FJB, Visvanathan, K, Vodickova, L, Potter, JD, Mannisto, S, Weigl, K, Figueiredo, J, Martin, V, Larsson, SC, Parfrey, PS, Huang, W-Y, Lenz, H-J, Castelao, JE, Gago-Dominguez, M, Munoz-Garzon, V, Mancao, C, Haiman, CA, Wilkens, LR, Siegel, E, Barry, E, Younghusband, B, Van Guelpen, B, Harlid, S, Zeleniuch-Jacquotte, A, Liang, PS, Du, M, Casey, G, Lindor, NM, Le Marchand, L, Gallinger, SJ, Jenkins, MA, Newcomb, PA, Gruber, SB, Schoen, RE, Hampel, H, Corley, DA, Hsu, L, Peters, U, Hayes, RB, Archambault, AN, Su, Y-R, Jeon, J, Thomas, M, Lin, Y, Conti, DV, Win, AK, Sakoda, LC, Lansdorp-Vogelaar, I, Peterse, EFP, Zauber, AG, Duggan, D, Holowatyj, AN, Huyghe, JR, Brenner, H, Cotterchio, M, Bezieau, S, Schmit, SL, Edlund, CK, Southey, MC, MacInnis, RJ, Campbell, PT, Chang-Claude, J, Slattery, ML, Chan, AT, Joshi, AD, Song, M, Cao, Y, Woods, MO, White, E, Weinstein, SJ, Ulrich, CM, Hoffmeister, M, Bien, SA, Harrison, TA, Hampe, J, Li, CI, Schafmayer, C, Offit, K, Pharoah, PD, Moreno, V, Lindblom, A, Wolk, A, Wu, AH, Li, L, Gunter, MJ, Gsur, A, Keku, TO, Pearlman, R, Bishop, DT, Castellvi-Bel, S, Moreira, L, Vodicka, P, Kampman, E, Giles, GG, Albanes, D, Baron, JA, Berndt, SI, Brezina, S, Buch, S, Buchanan, DD, Trichopoulou, A, Severi, G, Chirlaque, M-D, Sanchez, M-J, Palli, D, Kuhn, T, Murphy, N, Cross, AJ, Burnett-Hartman, AN, Chanock, SJ, de la Chapelle, A, Easton, DF, Elliott, F, English, DR, Feskens, EJM, FitzGerald, LM, Goodman, PJ, Hopper, JL, Hudson, TJ, Hunter, DJ, Jacobs, EJ, Joshu, CE, Kury, S, Markowitz, SD, Milne, RL, Platz, EA, Rennert, G, Rennert, HS, Schumacher, FR, Sandler, RS, Seminara, D, Tangen, CM, Thibodeau, SN, Toland, AE, van Duijnhoven, FJB, Visvanathan, K, Vodickova, L, Potter, JD, Mannisto, S, Weigl, K, Figueiredo, J, Martin, V, Larsson, SC, Parfrey, PS, Huang, W-Y, Lenz, H-J, Castelao, JE, Gago-Dominguez, M, Munoz-Garzon, V, Mancao, C, Haiman, CA, Wilkens, LR, Siegel, E, Barry, E, Younghusband, B, Van Guelpen, B, Harlid, S, Zeleniuch-Jacquotte, A, Liang, PS, Du, M, Casey, G, Lindor, NM, Le Marchand, L, Gallinger, SJ, Jenkins, MA, Newcomb, PA, Gruber, SB, Schoen, RE, Hampel, H, Corley, DA, Hsu, L, Peters, U, and Hayes, RB

Abstract

BACKGROUND & AIMS: Early-onset colorectal cancer (CRC, in persons younger than 50 years old) is increasing in incidence; yet, in the absence of a family history of CRC, this population lacks harmonized recommendations for prevention. We aimed to determine whether a polygenic risk score (PRS) developed from 95 CRC-associated common genetic risk variants was associated with risk for early-onset CRC. METHODS: We studied risk for CRC associated with a weighted PRS in 12,197 participants younger than 50 years old vs 95,865 participants 50 years or older. PRS was calculated based on single nucleotide polymorphisms associated with CRC in a large-scale genome-wide association study as of January 2019. Participants were pooled from 3 large consortia that provided clinical and genotyping data: the Colon Cancer Family Registry, the Colorectal Transdisciplinary Study, and the Genetics and Epidemiology of Colorectal Cancer Consortium and were all of genetically defined European descent. Findings were replicated in an independent cohort of 72,573 participants. RESULTS: Overall associations with CRC per standard deviation of PRS were significant for early-onset cancer, and were stronger compared with late-onset cancer (P for interaction = .01); when we compared the highest PRS quartile with the lowest, risk increased 3.7-fold for early-onset CRC (95% CI 3.28-4.24) vs 2.9-fold for late-onset CRC (95% CI 2.80-3.04). This association was strongest for participants without a first-degree family history of CRC (P for interaction = 5.61 × 10-5). When we compared the highest with the lowest quartiles in this group, risk increased 4.3-fold for early-onset CRC (95% CI 3.61-5.01) vs 2.9-fold for late-onset CRC (95% CI 2.70-3.00). Sensitivity analyses were consistent with these findings. CONCLUSIONS: In an analysis of associations with CRC per standard deviation of PRS, we found the cumulative burden of CRC-associated common genetic variants to associate with early-onset cancer, and to be mo

Published
2020

159. A Comparative Modeling Analysis of Risk-Based Lung Cancer Screening Strategies

Author

ten Haaf, Kevin, Bastani, M, Cao, PP, Jeon, J, Toumazis, I, Han, SS, Plevritis, SK, Blom, Erik, Kong, CY, Tammemagi, MC, Feuer, EJ, Meza, R, de Koning, Harry, ten Haaf, Kevin, Bastani, M, Cao, PP, Jeon, J, Toumazis, I, Han, SS, Plevritis, SK, Blom, Erik, Kong, CY, Tammemagi, MC, Feuer, EJ, Meza, R, and de Koning, Harry

Published
2020

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