1,292 results on '"Franks S."'
Search Results
2. Contributors
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Aggarwal, Vimla, primary, Barber, T.M., additional, Becker, Christian M., additional, Bhangu, Karanveer, additional, Brännström, Mats, additional, Brown, Carolyn J., additional, Burney, Richard O., additional, Capalbo, Antonio, additional, Chan, Wai-Yee, additional, Chen, Andy Chun Hang, additional, Chen, Chien-Wen, additional, Chen, Ming-Jer, additional, Chen, Zi-Jiang, additional, Chou, Ya-Ching, additional, Choy, Kwong Wai, additional, Clarke, Hugh J., additional, Cordoba, Marcos, additional, Dahm-Kähler, Pernilla, additional, Dai, Mo-Yu, additional, de Paredes, Jessica Garcia, additional, Ding, Guo-Lian, additional, Dong, Zirui, additional, Du, Jin, additional, Eguizabal, C., additional, Fice, Heather E., additional, Franks, S., additional, Gao, Qing-Qin, additional, Giordano, Jessica, additional, Giudice, Linda C., additional, Gosnell, Jordan, additional, Guo, Ting, additional, Haller, Meade, additional, Hardy, Tristan, additional, He, Qilong, additional, Herrera, L., additional, Honaramooz, Ali, additional, Huang, Cheng, additional, Huang, He-Feng, additional, Hussein, Ghada, additional, Jaillard, Sylvie, additional, Jiang, Hai-Ping, additional, Jiang, Zi-Ru, additional, Kasak, Laura, additional, Kawamura, Kazuhiro, additional, Khatibi, Ali, additional, Konwar, Chaini, additional, Laan, Maris, additional, Lai, Guan-Lin, additional, LaMarre, Jonathan, additional, Lamb, Dolores J., additional, Lee, Yin Lau, additional, Lee, Yi-Xuan, additional, Levy, Brynn, additional, Li, Xin-Yuan, additional, Li, Yao, additional, Li, Yu-Fei, additional, Liao, Jinyue, additional, Liu, Ming, additional, Liu, Xiaodong, additional, Liu, Xin-Mei, additional, Lo, Y.M. Dennis, additional, Ma, Xinyi, additional, Ma, Yun-Yi, additional, Martin-Inaraja, M., additional, Missmer, Stacey A., additional, Miu, Kai Kei, additional, Montgomery, Grant, additional, Montserrat, N., additional, Morton, Cynthia C., additional, Navarro-Cobos, Maria Jose, additional, Norman, Robert J., additional, O’Neill, Marisol, additional, Ou, Fanghong, additional, Pang, Yanli, additional, Peñaherrera, Maria S., additional, Poli, Maurizio, additional, Polo, Jose M., additional, Qiao, Jie, additional, Qin, Yingying, additional, Rahmawati, Endah, additional, Rahmioglu, Nilufer, additional, Robaire, Bernard, additional, Robinson, Wendy P., additional, Rogers, Alice P., additional, Rogers, Peter A.W., additional, Romayor, I., additional, Rull, Kristiina, additional, Ruthig, Victor A., additional, Shanahan, Matthew A., additional, Shao, Xuan, additional, Sinclair, Andrew H., additional, Stalker, Leanne, additional, Stanley, Kate, additional, Stosic, Melissa, additional, Strug, Michael, additional, Suen, Hoi-Ching, additional, Tan, Jia Ping, additional, Teixeira, Jose M., additional, Thirumavalavan, Nannan, additional, Tsang, Jason C.H., additional, Tscherner, Allison, additional, Tucker, Elena J., additional, Tzeng, Chii-Ruey, additional, Van den Veyver, Ignatia B., additional, van Riel, Margot, additional, Vermeesch, Joris R., additional, Vossaert, Liesbeth, additional, Wang, Wei, additional, Wang, Yan-Ling, additional, Wang, Zhangting, additional, Wapner, Ronald, additional, Werry, Nicholas, additional, White, Jeffrey T., additional, Wilson, Samantha L., additional, Wu, Jun, additional, Xu, Peng, additional, Yan, Liying, additional, Yan, Zhiqiang, additional, Yeung, William Shu Biu, additional, Yu, Stephanie C.Y., additional, Yuan, Peng, additional, Yuan, Victor, additional, Zhai, Fan, additional, Zhao, Shidou, additional, Zhao, Yue, additional, Zhelyazkova, Boryana, additional, Zhou, Qi, additional, and Zondervan, Krina, additional
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- 2023
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3. Developmental origins and genetic basis of polycystic ovary syndrome
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Barber, T.M., primary and Franks, S., additional
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- 2023
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4. Gut bacteriome and mood disorders in women with PCOS
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Lee, S, primary, Tejesvi, M V, additional, Hurskainen, E, additional, Aasmets, O, additional, Plaza-Díaz, J, additional, Franks, S, additional, Morin-Papunen, L, additional, Tapanainen, J S, additional, Ruuska, T S, additional, Altmäe, S, additional, Org, E, additional, Salumets, A, additional, Arffman, R K, additional, and Piltonen, T T, additional
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- 2024
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5. Longitudinal immunophenotyping to track motor progression in Parkinson’s Associated with a TH mutation
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Gopinath, A., primary, Ramirez-Zamora, A., additional, Franks, S., additional, Riaz, T., additional, Smith, A., additional, Dizon, G., additional, Hornstein, L., additional, Follett, J., additional, Swartz, C., additional, Bravo, J., additional, Kugelmann, E.L., additional, Farrer, M., additional, Okun, M.S., additional, and Khoshbouei, H., additional
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- 2024
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6. Genome-wide association of polycystic ovary syndrome implicates alterations in gonadotropin secretion in European ancestry populations
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Giudice, Linda, Hayes, MG, Urbanek, M, Ehrmann, DA, Armstrong, LL, Lee, JY, Sisk, R, Karaderi, T, Barber, TM, McCarthy, MI, and Franks, S
- Abstract
© 2015 Macmillan Publishers Limited. All rights reserved.Polycystic ovary syndrome (PCOS) is a common, highly heritable complex disorder of unknown aetiology characterized by hyperandrogenism, chronic anovulation and defects in glucose homeostasis. Increas
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- 2015
7. The Role of Prolactin in the Uterus Breast
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Bonney, R. C., primary and Franks, S., additional
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- 2020
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8. Mathematical modelling of contact dermatitis from nickel and chromium
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Ward, J. P., Franks, S. J., Tindall, M. J., King, J. R., Curtis, A., and Evans, G. S.
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- 2019
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9. Age at adiposity rebound in childhood is associated with PCOS diagnosis and obesity in adulthood—longitudinal analysis of BMI data from birth to age 46 in cases of PCOS
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Koivuaho, E., Laru, J., Ojaniemi, M, Puukka, K., Kettunen, J., Tapanainen, J. S., Franks, S., Järvelin, M.-R., Morin-Papunen, L., Sebert, S., and Piltonen, T. T.
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- 2019
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10. Contributors
- Author
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Adashi, Eli Y., primary, Akasha, Azza M., additional, Asare-Werehene, Meshach, additional, Auersperg, Nelly, additional, Barad, David H., additional, Barber, T.M., additional, Bassil, Rawad, additional, Briley, Shawn M., additional, Bromfield, John J., additional, Carter, Lauren E., additional, Casper, Robert F., additional, Chan, Cindy, additional, Chang, Hsun-Ming, additional, Chen, Zi-Jiang, additional, Cook, David P., additional, Davis, John S., additional, De La Fuente, Rabindranath, additional, Dunning, K.R., additional, Fainaru, Ofer, additional, Fan, Heng-Yu, additional, Findlay, J.K., additional, Foster, W.G., additional, Franks, S., additional, Furlong, H.C., additional, Galliano, Daniela, additional, Gannon, A.M., additional, Gilchrist, R.B., additional, Gleicher, Norbert, additional, Haas, Jigal, additional, Hang, Jing, additional, Hughes, Camilla K., additional, Huhtaniemi, Ilpo, additional, Hummitzsch, Katja, additional, Hutt, K.J., additional, Irving-Rodgers, Helen F., additional, Kimbel, H.J., additional, Kol, Shahar, additional, Kushnir, Vitaly A., additional, LaVoie, Holly A., additional, Lee, Yi-Xuan, additional, Legro, Richard S., additional, Leung, Peter C.K., additional, Leung, Chi-Kwan, additional, Li, Mo, additional, Lin, Pei-Hsuan, additional, Lu, Gang, additional, Lv, Yue, additional, Ma, Yun-Yi, additional, Mayo, Kelly E., additional, Meidan, Rina, additional, Mills, Gordon B., additional, Nilsson, E.E., additional, Oktay, Kutluk, additional, Pangas, Stephanie A., additional, Pate, Joy L., additional, Pellicer, Nuria, additional, Pellicer, Antonio, additional, Piersanti, Rachel L., additional, Pierson, Roger A., additional, Prasasya, Rexxi D., additional, Previs, Rebecca A., additional, Qiao, Jie, additional, Qin, Yingying, additional, Rahmawati, Endah, additional, Rivero-Müller, Adolfo, additional, Robker, Rebecca L., additional, Rodgers, Raymond J., additional, Rodler, Daniela, additional, Rodriguez, Amanda, additional, Russell, Darryl L., additional, Rydze, Robert T., additional, Schneyer, Alan, additional, Schwartz, Jeff, additional, Seifer, David B., additional, Shieh, Dar-Bin, additional, Shrestha, Ketan, additional, Simpson, Joe Leigh, additional, Sinowatz, Fred, additional, Skinner, M.K., additional, Song, Yong Sang, additional, Strauss, Jerome F., additional, Sun, Qing-Yuan, additional, Sun, Yu, additional, Tal, Reshef, additional, Taylan, Enes, additional, Tsang, Benjamin K., additional, Tzeng, Chii-Ruey, additional, Vanderhyden, Barbara C., additional, Viveiros, Maria M., additional, Waldman, Ian N., additional, Walters, K.A., additional, Wang, Yun, additional, Welt, Corrine, additional, Westin, Shannon N., additional, Woodruff, Teresa K., additional, Yan, Jie, additional, Zhao, Han, additional, Zhi, Xu, additional, and Zhu, Yi-Min, additional
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- 2019
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11. Genetic and Environmental Factors in the Etiology of Polycystic Ovary Syndrome
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Barber, T.M., primary and Franks, S., additional
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- 2019
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12. Model Parameter Estimation Experiment (MOPEX): An overview of science strategy and major results from the second and third workshops
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Duan, Q, Schaake, J, Andréassian, V, Franks, S, Goteti, G, Gupta, HV, Gusev, YM, Habets, F, Hall, A, Hay, L, Hogue, T, Huang, M, Leavesley, G, Liang, X, Nasonova, ON, Noilhan, J, Oudin, L, Sorooshian, S, Wagener, T, and Wood, EF
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MOPEX ,a priori parameter estimation ,model calibration ,rainfall-runoff modeling ,regionalization ,uncertainty analysis ,Environmental Engineering - Abstract
The Model Parameter Estimation Experiment (MOPEX) is an international project aimed at developing enhanced techniques for the a priori estimation of parameters in hydrologic models and in land surface parameterization schemes of atmospheric models. The MOPEX science strategy involves three major steps: data preparation, a priori parameter estimation methodology development, and demonstration of parameter transferability. A comprehensive MOPEX database has been developed that contains historical hydrometeorological data and land surface characteristics data for many hydrologic basins in the United States (US) and in other countries. This database is being continuously expanded to include more basins in all parts of the world. A number of international MOPEX workshops have been convened to bring together interested hydrologists and land surface modelers from all over world to exchange knowledge and experience in developing a priori parameter estimation techniques. This paper describes the results from the second and third MOPEX workshops. The specific objective of these workshops is to examine the state of a priori parameter estimation techniques and how they can be potentially improved with observations from well-monitored hydrologic basins. Participants of the second and third MOPEX workshops were provided with data from 12 basins in the southeastern US and were asked to carry out a series of numerical experiments using a priori parameters as well as calibrated parameters developed for their respective hydrologic models. Different modeling groups carried out all the required experiments independently using eight different models, and the results from these models have been assembled for analysis in this paper. This paper presents an overview of the MOPEX experiment and its design. The main experimental results are analyzed. A key finding is that existing a priori parameter estimation procedures are problematic and need improvement. Significant improvement of these procedures may be achieved through model calibration of well-monitored hydrologic basins. This paper concludes with a discussion of the lessons learned, and points out further work and future strategy. © 2005 Elsevier Ltd. All rights reserved.
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- 2006
13. Nutrient changes in potting mix and Eucalyptus nitens leaf tissue under macadamia biochar amendments
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Wrobel-Tobiszewska, A., Boersma, M., Sargison, J., Adams, P., Singh, B., Franks, S., Birch, C. J., and Close, D. C.
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- 2018
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14. Low testosterone at age 31 associates with maternal obesity and higher body mass index from childhood until age 46:a birth cohort study
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Laru, J. (Johanna), Pinola, P. (Pekka), Ojaniemi, M. (Marja), Korhonen, E. (Elisa), Laikari, L. (Lotta), Franks, S. (Stephen), Piltonen, T. T. (Terhi T.), Tapanainen, J. S. (Juha S.), Niinimäki, M. (Maarit), Morin-Papunen, L. (Laure), Laru, J. (Johanna), Pinola, P. (Pekka), Ojaniemi, M. (Marja), Korhonen, E. (Elisa), Laikari, L. (Lotta), Franks, S. (Stephen), Piltonen, T. T. (Terhi T.), Tapanainen, J. S. (Juha S.), Niinimäki, M. (Maarit), and Morin-Papunen, L. (Laure)
- Abstract
Background: Low testosterone (T) levels in men associate with increased risks of obesity, type 2 diabetes, metabolic syndrome, and cardiovascular diseases. However, most studies are cross-sectional with follow-up-time < 10 years, and data on early growth are limited. Objective: To compare prenatal factors and body mass index (BMI) development from birth to age 46 in relation to low T at age 31. Materials and methods: Men with low T (T < 12.1 nmol/L, n = 132) and men with normal T at age 31 (n = 2561) were derived from the Northern Finland Birth Cohort 1966. Prenatal factors, longitudinal weight and height data from birth to age 14, and cross-sectional weight and height data at ages 31 and 46, and waist-hip-ratio (WHR) and T levels at age 31 were analyzed. Longitudinal modeling and timing of adiposity rebound (AR, second BMI rise at age 5–7 years) were calculated from fitted BMI curves. Results were adjusted for mother’s pre-pregnancy BMI and smoking status, birth weight for gestational age, alcohol consumption, education level, smoking status, and WHR at age 31. Results: Neither gestational age nor birth weight was associated with low T at age 31; however, maternal obesity during gestation was more prevalent among men with low T (9.8% vs. 3.5%, adjusted aOR: 2.43 [1.19−4.98]). Men with low T had earlier AR (5.28 vs. 5.82, aOR: 0.73 [0.56−0.94]) and higher BMI (p < 0.001) from AR onward until age 46. Men with both early AR and low T had the highest BMI from AR onward. Conclusions: In men, maternal obesity and early weight gain associate with lower T levels at age 31, independently of adulthood abdominal obesity. Given the well-known health risks related to obesity, and the rising prevalence of maternal obesity, the results of the present study emphasize the importance of preventing obesity that may also affect the later reproductive health of the offspring.
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- 2023
15. AMH as part of the diagnostic PCOS workup in large epidemiological studies
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Piltonen, T. T. (Terhi T.), Komsi, E. (Elina), Morin-Papunen, L. C. (Laure C.), Korhonen, E. (Elisa), Franks, S. (Stephen), Järvelin, M.-R. (Marjo-Riitta), Arffman, R. K. (Riikka K.), Ollila, M.-M. (Meri-Maija), Piltonen, T. T. (Terhi T.), Komsi, E. (Elina), Morin-Papunen, L. C. (Laure C.), Korhonen, E. (Elisa), Franks, S. (Stephen), Järvelin, M.-R. (Marjo-Riitta), Arffman, R. K. (Riikka K.), and Ollila, M.-M. (Meri-Maija)
- Abstract
Objectives: Previous studies have shown good correlation between polycystic ovarian morphology (PCOM) and serum anti-Müllerian hormone (AMH) levels. We evaluated the utility of AMH as a surrogate for PCOM as a part of the polycystic ovary syndrome (PCOS) diagnosis by describing how the use of different AMH cut-off values would change the prevalence of PCOS. Methods: A general population-based birth cohort study. Anti-Müllerian hormone concentrations were measured from serum samples taken at age 31 years (n = 2917) using the electrochemiluminescence immunoassay (Elecsys). Anti-Müllerian hormone data were combined with data on oligo/amenorrhoea and hyperandrogenism to identify women with PCOS. Results: The addition of AMH as a surrogate marker for PCOM increased the number of women fulfilling at least two PCOS features in accordance with the Rotterdam criteria. The prevalence of PCOS was 5.9% when using the AMH cut-off based on the 97.5% quartile (10.35 ng/mL) and 13.6% when using the recently proposed cut-off of 3.2 ng/mL. When using the latter cut-off value, the distribution of PCOS phenotypes A, B, C, and D was 23.9%, 4.7%, 36.6%, and 34.8%, respectively. Compared with the controls, all PCOS groups with different AMH concentration cut-offs showed significantly elevated testosterone (T), free androgen index (FAI), luteinizing hormone (LH), LH/follicle-stimulating hormone (FSH) ratio, body mass index (BMI), waist circumference, and homoeostatic model assessment of insulin resistance (HOMA-IR) values, as well as significantly decreased sex hormone-binding globulin (SHBG) values. Conclusions: Anti-Müllerian hormone could be useful surrogate for PCOM in large data sets, where transvaginal ultrasound is not feasible, to aid the capturing of women with typical PCOS characteristics. Anti-Müllerian hormone measurement from archived samples enables retrospective PCOS diagnosis when combined with oligo/amenorrhoea or hyperandrogenism.
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- 2023
16. Women with PCOS have an increased risk for cardiovascular disease regardless of diagnostic criteria:a prospective population-based cohort study
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Ollila, M.-M. (Meri-Maija), Arffman, R. K. (Riikka K.), Korhonen, E. (Elisa), Morin-Papunen, L. (Laure), Franks, S. (Stephen), Junttila, J. (Juhani), Piltonen, T. T. (Terhi T.), Ollila, M.-M. (Meri-Maija), Arffman, R. K. (Riikka K.), Korhonen, E. (Elisa), Morin-Papunen, L. (Laure), Franks, S. (Stephen), Junttila, J. (Juhani), and Piltonen, T. T. (Terhi T.)
- Abstract
Objective: Polycystic ovary syndrome (PCOS) is associated with many cardiovascular disease (CVD) risk factors, such as obesity, type 2 diabetes mellitus and hypertension. However, it remains debatable whether the presence of multiple CVD risk factors translates to increased CVD events. Desing: A prospective, population-based Northern Finland Birth Cohort 1966. Methods: Individuals with an expected date of birth in 1966 in Northern Finland have been followed from birth. Women in the cohort were classified as having PCOS according to either the National Institute of Health (NIH) criteria (n = 144) or the Rotterdam criteria (n = 386) at age 31, and they were compared to women without any PCOS features. The study population was re-examined at age 46, and the incidence of major adverse cardiovascular events (MACE), including myocardial infarction (MI), stroke, heart failure and cardiovascular mortality, was recorded up to age 53. Results: During the 22-year follow-up, both women with NIH-PCOS and women with Rotterdam-PCOS had a significantly higher risk for cardiovascular events than control women. The BMI-adjusted hazard ratio (HR) for MACE in the Rotterdam-PCOS group and the NIH-PCOS group was 2.33 (1.26–4.30) and 2.47 (1.18–5.17), respectively. The cumulative hazard curves in both diagnostic categories began to diverge at age 35. Regarding the individual CVD endpoints, MI was significantly more prevalent in both women with NIH-PCOS (P = 0.010) and women with Rotterdam-PCOS (P = 0.019), when compared to control women. Conclusions: PCOS should be considered a significant risk factor for CVD. Future follow-up will show how the risk of CVD events develops after menopausal age.
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- 2023
17. Targeting myeloid-derived suppressor cells in combination with primary mammary tumor resection reduces metastatic growth in the lungs
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Bosiljcic, Momir, Cederberg, Rachel A., Hamilton, Melisa J., LePard, Nancy E., Harbourne, Bryant T., Collier, Jenna L., Halvorsen, Elizabeth C., Shi, Rocky, Franks, S. Elizabeth, Kim, Ada Y., Banáth, Judit P., Hamer, Mark, Rossi, Fabio M., and Bennewith, Kevin L.
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- 2019
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18. 1339 IMPROVING INPATIENT MANAGEMENT OF DELIRIUM IN A DISTRICT GENERAL HOSPITAL
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Juwarkar, A, primary, Ahmed, S, additional, Franks, S, additional, and Ring, A, additional
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- 2023
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19. Benefits of protected area networks for breeding bird populations and communities
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Sanderson, F. J., primary, Wilson, J. D., additional, Franks, S. E., additional, and Buchanan, G. M., additional
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- 2022
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20. Immune targeting of three independent suppressive pathways (TIGIT, PD-L1, TGFβ) provides significant antitumor efficacy in immune checkpoint resistant models
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Franks, S. Elizabeth, primary, Fabian, Kellsye P., additional, Santiago-Sánchez, Ginette, additional, Wolfson, Benjamin, additional, and Hodge, James W., additional
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- 2022
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21. Characterizing Errors in Areal Rainfall Estimates: Application to Uncertainty Quantification and Decomposition in Hydrologic Modelling
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Hydrology and Water Resources Symposium (32nd : 2009 : Newcastle, Australia), Renard, B, Leblois, E, Kuczera, G, Kavetski, D, Thyer, M, and Franks, S
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- 2009
22. The direct and indirect effects of kisspeptin-54 on granulosa lutein cell function
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Owens, L A, Abbara, A, Lerner, A, O’floinn, S, Christopoulos, G, Khanjani, S, Islam, R, Hardy, K, Hanyaloglu, A C, Lavery, S A, Dhillo, W S, and Franks, S
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- 2018
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23. Bayesian Total Error Analysis for Hydrologic Models: Quantifying Uncertainties Arising from Input, Output and Structural Errors
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International Conference on Water Resources and Environment Research (4th : 2008 : Adelaide, S. Aust.), Renard, B, Kuczera, George, Kavetski, D, Thyer, M, and Franks, S
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- 2008
24. Mathematical Modelling of Nutrient-limited Tissue Growth
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King, J. R., Franks, S. J., Figueiredo, Isabel Narra, editor, Rodrigues, José Francisco, editor, and Santos, Lisa, editor
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- 2007
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25. Benefits of protected area networks for breeding bird populations and communities.
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Sanderson, F. J., Wilson, J. D., Franks, S. E., and Buchanan, G. M.
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BIRD populations ,BIRD breeding ,PROTECTED areas ,BIRD communities ,BIRD conservation ,WILDLIFE conservation - Abstract
Protected areas are a cornerstone of international conservation. The EU Natura 2000 network is the largest coordinated network of protected areas in the world, but its impact on biodiversity at the landscape scale is largely unknown. Here, we use data from Breeding Bird Survey (BBS) survey squares across Britain to test whether species abundance and population trends and levels of bird community specialisation are correlated with protected area coverage of BBS survey squares or 5‐km buffers around BBS squares. We compared area coverage by Natura 2000 protection and by the less strict protection of Sites of Special Scientific Interest protection alone. The abundance of birds of higher conservation concern and an index of community specialisation were positively correlated with coverage by protected area within survey squares and in a 5‐km buffer around squares. Population trends of species of higher conservation concern were positively correlated with the coverage of squares by Sites of Special Scientific Interest and the coverage of Natura 2000 within a 5‐km buffer around squares. The results suggest that Natura 2000 protection, in particular has positive conservation benefits for birds of higher conservation concern and community specialisation. This highlights the importance of protected areas, especially those with strictest protection, for maintaining biodiversity. Post‐Brexit, the UK should adopt legislation that results in the maintenance and strengthening of the current protected area network, as enforcing protection at a level of that provided by the Nature Directives is essential. As currently around half of Natura 2000 sites are not in favourable condition, even greater conservation benefits might be accrued if protected area management were improved. [ABSTRACT FROM AUTHOR]
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- 2023
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26. Polycystic ovary syndrome and leukocyte telomere length:cross-sectional and longitudinal changes
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Pölönen, J. (Johanna), Pinola, P. (Pekka), Ronkainen, J. (Justiina), Blakemore, A. I. (Alex I.), Buxton, J. L. (Jessica L.), Tapanainen, J. S. (Juha S.), Franks, S. (Stephen), Piltonen, T. T. (Terhi T.), Sebert, S. (Sylvain), Morin-Papunen, L. (Laure), Pölönen, J. (Johanna), Pinola, P. (Pekka), Ronkainen, J. (Justiina), Blakemore, A. I. (Alex I.), Buxton, J. L. (Jessica L.), Tapanainen, J. S. (Juha S.), Franks, S. (Stephen), Piltonen, T. T. (Terhi T.), Sebert, S. (Sylvain), and Morin-Papunen, L. (Laure)
- Abstract
Objective: Telomeres are DNA–protein complexes that protect chromosome ends from DNA damage and are surrogate biomarkers of cellular aging. Current evidence, almost entirely from cross-sectional observations, supports negative associations between leukocyte telomere length (LTL) and adverse lifestyle factors and cardiometabolic risk factors. Polycystic ovary syndrome (PCOS), the most common gynecological endocrine disorder, is associated with inflammation and oxidative stress, both factors associated with accelerated telomere attrition. We therefore hypothesized that LTL would be shorter and decrease more rapidly in women with PCOS in comparison to a control population. Design: This is a population-based cohort study comprising women of Northern Finland Birth Cohort 1966, with clinical examinations at ages 31 and 46. The sample included self-reported PCOS (age 31, n = 190; age 46, n = 207) and referent women (age 31, n = 1054; age 46, n = 1324) with data on LTL. Methods: The association between LTL and PCOS at ages 31 and 46 was analyzed by linear regression models adjusted for BMI, smoking, alcohol consumption and socioeconomic status at the corresponding age. Results: Women with PCOS had similar mean LTL at ages 31 and 46 (P > 0.4 for both). The mean LTL change between ages 31 and 46 did not differ between groups (P = 0.19). However, we observed a significant LTL attrition between ages 31 and 46 in the reference population (P < 0.001), but not in women with PCOS (P = 0.96). Conclusions: This finding may suggest a difference in the LTL attrition rate in women with PCOS, an unexpected finding that might affect their risk of age-related disease. Further research is needed to clarify the underlying mechanisms.
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- 2022
27. Women with polycystic ovary syndrome are burdened with multimorbidity and medication use independent of body mass index at late fertile age:a population-based cohort study
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Kujanpää, L. (Linda), Arffman, R. K. (Riikka K.), Pesonen, P. (Paula), Korhonen, E. (Elisa), Karjula, S. (Salla), Järvelin, M.-R. (Marjo-Riitta), Franks, S. (Stephen), Tapanainen, J. S. (Juha S.), Morin-Papunen, L. (Laure), Piltonen, T. T. (Terhi T.), Kujanpää, L. (Linda), Arffman, R. K. (Riikka K.), Pesonen, P. (Paula), Korhonen, E. (Elisa), Karjula, S. (Salla), Järvelin, M.-R. (Marjo-Riitta), Franks, S. (Stephen), Tapanainen, J. S. (Juha S.), Morin-Papunen, L. (Laure), and Piltonen, T. T. (Terhi T.)
- Abstract
Introduction: This population-based follow-up study investigated the comorbidities, medication use, and healthcare services among women with polycystic ovary syndrome (PCOS) at age 46 years. Material and methods: The study population derived from the Northern Finland Birth Cohort 1966 and consisted of women reporting oligo/amenorrhea and hirsutism at age 31 years and/or a PCOS diagnosis by age 46 years (n = 246) and controls without PCOS symptoms or diagnosis (n = 1573), referred to as non-PCOS women. The main outcome measures were self-reported data on symptoms, diagnosed diseases, and medication and healthcare service use at the age of 46 years. Results: Overall morbidity risk was increased by 35% (risk ratio [RR] 1.35, 95% confidence interval [CI] 1.16–1.57) and medication use by 27% [RR 1.27, 95% CI 1.08–1.50) compared with non-PCOS women, and the risk remained after adjusting for body mass index. Diagnoses with increased prevalence in women with PCOS were migraine, hypertension, tendinitis, osteoarthritis, fractures, and endometriosis. PCOS was also associated with autoimmune diseases and recurrent upper respiratory tract infections and symptoms. Interestingly, healthcare service use did not differ between the study groups after adjusting for body mass index. Conclusions: Women with PCOS are burdened with multimorbidity and higher medication use, independent of body mass index.
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- 2022
28. An optimal growth pattern during pregnancy and early childhood associates with better fertility in men
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Laru, J. (Johanna), Ojaniemi, M. (Marja), Franks, S. (Stephen), Järvelin, M.-R. (Marjo-Riitta), Korhonen, E. (Elisa), Piltonen, T. T. (Terhi T), Sebert, S. (Sylvain), Tapanainen, J. S. (Juha S), Morin-Papunen, L. (Laure), Laru, J. (Johanna), Ojaniemi, M. (Marja), Franks, S. (Stephen), Järvelin, M.-R. (Marjo-Riitta), Korhonen, E. (Elisa), Piltonen, T. T. (Terhi T), Sebert, S. (Sylvain), Tapanainen, J. S. (Juha S), and Morin-Papunen, L. (Laure)
- Abstract
Objective: To evaluate the association between birth weight (BW), childhood and adolescent BMI, with reproductive capacity in men. Design: A prospective, population-based cohort study (Northern Finland birth cohort 1966). Methods: 6196 men born in 1966 followed from birth to age 50 years. Weight and height were measured repeatedly by professionals. Reproductive capacity (infertility assessment, male factor infertility and infertility treatment by age 46 years) was evaluated by questionnaires at ages 31 and 46 years. Number of children by age 50 years was recovered from registers. After excluding the men who reported never having attempted to have children or not answering the question at age 31 or 46 years (n=2041), 4128 men were included into the final study population. Results were adjusted for BW, BW for gestational age (GA), mother’s smoking status, marital status, educational level and smoking status. Results: Being small for GA (10.5% vs.8.2%, p=0.012) or having a lower BW (3495g vs.3548g, p=0.003) associated with childlessness. The association was however no longer significant after adjusting for marital status. Being underweight in early childhood was associated with an increased risk of infertility assessment (adjusted, aOR:2.04(1.07‐3.81)) and childlessness (aOR:1.47(1.01‐2.17)) compared to the normal weight group. Conversely, overweight or obesity in early childhood was associated with a decreased risk of infertility assessment (aOR:0.60(0.41‐0.87)), treatment (aOR:0.42(0.25‐0.70)) and male factor infertility (aOR:0.45(0.21‐0.97)). BMI in mid-childhood or puberty had no association with infertility or childlessness. Conclusion: In boys, an optimal growth trajectory during pregnancy and during early childhood seems to be very important for life-long fertility.
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- 2022
29. A population-based follow-up study shows high psychosis risk in women with PCOS
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Karjula, S. (Salla), Arffman, R. K. (Riikka K.), Morin-Papunen, L. (Laure), Franks, S. (Stephen), Järvelin, M.-R. (Marjo-Riitta), Tapanainen, J. S. (Juha S.), Miettunen, J. (Jouko), Piltonen, T. T. (Terhi T.), Karjula, S. (Salla), Arffman, R. K. (Riikka K.), Morin-Papunen, L. (Laure), Franks, S. (Stephen), Järvelin, M.-R. (Marjo-Riitta), Tapanainen, J. S. (Juha S.), Miettunen, J. (Jouko), and Piltonen, T. T. (Terhi T.)
- Abstract
Polycystic ovary syndrome (PCOS) is a common endocrine disorder affecting up to 18% of women. Besides metabolic and fertility aspects, attention has lately been directed towards the detrimental effect of PCOS on psychological health. The objective of the study was to investigate whether women with PCOS are at higher risk for psychotic disorders. The study population derives from the Northern Finland Birth Cohort 1966 (N = 5889 women). The women with PCOS were identified by two simple questions on oligo-amenorrhea and hirsutism at age 31. Women reporting both symptoms were considered PCOS (N = 124) and asymptomatic women as controls (N = 2145). The diagnosis of psychosis was traced using multiple national registers up to the year 2016. Symptoms of psychopathology were identified using validated questionnaires at age 31. Women with PCOS showed an increased risk for any psychosis by age 50 (HR [95% CI] 2.99, [1.52–5.82]). Also, the risk for psychosis after age 31 was increased (HR 2.68 [1.21–5.92]). The results did not change after adjusting for parental history of psychosis, nor were they explained by body mass index or hyperandrogenism at adulthood. The scales of psychopathology differed between women with PCOS and non-PCOS controls showing more psychopathologies among the affected women. PCOS cases were found to be at a three-fold risk for psychosis, and they had increased psychopathological symptoms. PCOS should be taken into consideration when treating women in psychiatric care. More studies are required to further assess the relationship between PCOS and psychotic diseases.
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- 2022
30. Metabolic profiling of polycystic ovary syndrome reveals interactions with abdominal obesity
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Alves, A Couto, Valcarcel, B, Mäkinen, V-P, Morin-Papunen, L, Sebert, S, Kangas, A J, Soininen, P, Das, S, De Iorio, M, Coin, L, Ala-Korpela, M, Järvelin, M-R, and Franks, S
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- 2017
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31. Overweight and obese but not normal weight women with PCOS are at increased risk of Type 2 diabetes mellitus—a prospective, population-based cohort study
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Ollila, M.-M.E., West, S., Keinänen-Kiukaanniemi, S., Jokelainen, J., Auvinen, J., Puukka, K., Ruokonen, A., Järvelin, M.-R., Tapanainen, J.S., Franks, S., Piltonen, T.T., and Morin-Papunen, L.C.
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- 2017
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32. Inferring Biological Mechanisms from Spatial Analysis: Prediction of a Local Inhibitor in the Ovary
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Silva-Buttkus, P. Da, Marcelli, G., Franks, S., Stark, J., Hardy, K., and Kafatos, Fotis C.
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- 2009
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33. Further studies on the light induced fading associated with the application of OSL to personnel dosimetry
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Benevides, L., Romanyukha, A., Hull, F., Duffy, M., Franks, S., Voss, S., and Moscovitch, M.
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- 2011
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34. Induction of Ovulation
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Franks, S., Templeton, Allan A., editor, and Drife, James O., editor
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- 1992
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35. Large expert-curated database for benchmarking document similarity detection in biomedical literature search
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O. L., Joubert J. W., Jung S. -H., Junior A. M., Kahan T., Kamboj S. K., Kang Y. -K., Karamanos Y., Karp N. A., Kelly R., Kenna R., Kennedy J., Kersten B., Khalaf R. A., Khalid J. M., Khatlani T., Khider T., Kijanka G. S., King S. R. B., Kluz T., Knox P., Kobayashi T., Koch K. -W., Kohonen-Corish M. R. J., Kong X., Konkle-Parker D., Korpela K. M., Kostrikis L. G., Kraiczy P., Kratz H., Krause G., Krebsbach P. H., Kristensen S. R., Kumari P., Kunimatsu A., Kurdak H., Kwon Y. D., Lachat C., Lagisz M., Laky B., Lammerding J., Lange M., Larrosa M., Laslett A. L., Laverman G. D., Leclair E. E., Lee K. -W., Lee M. -Y., Lee M. -S., Li G., Lieb K., Lim Y. Y., Lindsey M. L., Line P. -D., Liu D., Liu F., Liu H., Lloyd V. K., Lo T. -W., Locci E., Loidl J., Lorenzen J., Lorkowski S., Lovell N. H., Lu H., Lu W., Lu Z., Luengo G. S., Lundh L. -G., Lysy P. A., Mabb A., Mack H. G., Mackey D. A., Mahdavi S. R., Maher P., Maher T., Maity S. N., Malgrange B., Mamoulakis C., Mangoni A. A., Manke T., Manstead A. S. R., Mantalaris A., Marsal J., Marschall H. -U., Martin F. L., Martinez-Raga J., Martinez-Salas E., Mathieu D., Matsui Y., Maza E., McCutcheon J. E., McKay G. J., McMillan B., McMillan N., Meads C., Medina L., Merrick B. A., Metzger D. W., Meunier F. A., Michaelis M., Micheau O., Mihara H., Mintz E. M., Mizukami T., Moalic Y., Mohapatra D. P., Monteiro A., Montes M., Moran J. V., Morozov S. Y., Mort M., Murai N., Murphy D. J., Murphy S. K., Murray S. A., Naganawa S., Nammi S., Nasios G., Natoli R. M., Nguyen F., Nicol C., van Nieuwerburgh F., Nilsen E. B., Nobile C. J., O'Mahony M., Ohlsson S., Olatunbosun O., Olofsson P., Ortiz A., Ostrikov K., Otto S., Outeiro T. F., Ouyang S., Paganoni S., Page A., Palm C., Paradies Y., Parsons M. H., Parsons N., Pascal P., Paul E., Peckham M., Pedemonte N., Pellizzon M. A., Petrelli M., Pichugin A., Pinto C. J. C., Plevris J. N., Pollesello P., Polz M., Ponti G., Porcelli P., Prince M., Quinn G. P., Quinn T. J., Ramula S., Rappsilber J., Rehfeldt F., Reiling J. H., Remacle C., Rezaei M., Riddick E. W., Ritter U., Roach N. W., Roberts D. D., Robles G., Rodrigues T., Rodriguez C., Roislien J., Roobol M. J., Rowe A., Ruepp A., van Ruitenbeek J., Rust P., Saad S., Sack G. H., Santos M., Saudemont A., Sava G., Schrading S., Schramm A., Schreiber M., Schuler S., Schymkowitz J., Sczyrba A., Seib K. L., Shi H. -P., Shimada T., Shin J. -S., Shortt C., Silveyra P., Skinner D., Small I., Smeets P. A. M., So P. -W., Solano F., Sonenshine D. E., Song J., Southall T., Speakman J. R., Srinivasan M. V., Stabile L. P., Stasiak A., Steadman K. J., Stein N., Stephens A. W., Stewart D. I., Stine K., Storlazzi C., Stoynova N. V., Strzalka W., Suarez O. M., Sultana T., Sumant A. V., Summers M. J., Sun G., Tacon P., Tanaka K., Tang H., Tanino Y., Targett-Adams P., Tayebi M., Tayyem R., Tebbe C. C., Telfer E. E., Tempel W., Teodorczyk-Injeyan J. A., Thijs G., Thorne S., Thrift A. G., Tiffon C., Tinnefeld P., Tjahjono D. H., Tolle F., Toth E., Del Tredici A. L., Tsapas A., Tsirigotis K., Turak A., Tzotzos G., Udo E. E., Utsumi T., Vaidyanathan S., Vaillant M., Valsesia A., Vandenbroucke R. E., Veiga F. H., Vendrell M., Vesk P. A., Vickers P., Victor V. M., Villemur R., Vohl M. -C., Voolstra C. R., Vuillemin A., Wakelin S., Waldron L., Walsh L. J., Wang A. Y., Wang F., Wang Y., Watanabe Y., Weigert A., Wen J. -C., Wham C., White E. P., Wiener J., Wilharm G., Wilkinson S., Willmann R., Wilson C., Wirth B., Wojan T. R., Wolff M., Wong B. M., Wu T. -W., Wuerbel H., Xiao X., Xu D., Xu J. W., Xue B., Yalcin S., Yan H., Yang E. -C., Yang S., Yang W., Ye Y., Ye Z. -Q., Yli-Kauhaluoma J., Yoneyama H., Yu Y., Yuan G. -C., Yuh C. -H., Zaccolo M., Zeng C., Zevnik B., Zhang L., Zhang Y., Zhang Z. -Y., Zhao Y., Zhou M., Zuberbier T., Aanei C. M., Ahmad R., Al-Lawama M., Alanio A., Allardyce J., Alonso-Caneiro D., Atack J. M., Baier D., Bansal A., Benezeth Y., Berbesque C., Berrevoet F., Biedermann P. H. W., Bijleveld E., Bittner F., Blombach F., van den Bos W., Boudreau S. A., Bramoweth A. D., Braubach O., Cai Y., Campbell M., Catry T., Chen X., Cheng S., Chung H. -J., Chavez-Fumagalli M. A., Conway A., Costa B. M., Cyr N., Dean L. T., Denzel M. S., Dlamini S. V., Dudley K. J., Dufies M., Ecke T., Eckweiler D., Eixarch E., El-Adawy H., Emmrich J. V., Eustace A. J., Falter-Wagner C. M., Farhoudi R., Fuss J., Gao J., Gill M. R., Gloyn L., Goggs R., Govinden U., Greene G., Greiff V., Grundle D. S., Gruneberg P., Gumede N., Haore G., Harrison P., Hoenner X., Hojsgaard D., Hori H., Ikonomopoulou M. P., Jeurissen P., Johnson D. M., Kabra D., Kamagata K., Karmakar C., Kasian O., Kaye L. K., Khan M. M., Kim Y. -M., Kish J. K., Kobold S., Kohanbash G., Kohls G., Kugler J. -M., Kumar G., Lacy-Colson J., Latif A., Lauschke V. M., Li B., Lim C. J., Liu X., Lu J. -J., Lu Q., Mahavadi P., Marzocchi U., McGarrigle C. A., van Meerten T., Min R., Moal I., Molari M., Molleman L., Mondal S. R., van de Mortel T., Moss W. N., Moultos O. A., Mukherjee M., Nakayama K., Narayan E., Neumann P. -A., Nie J., Nie Y., Niemeyer F., Nolan F., Nwaiwu O., Oldenmenger W. H., Olumayede E., Ou J., Pallebage-Gamarallage M., Pearce S. P., Pelkonen T., Pelleri M. C., Pereira J. L., Pheko M., Pinto K. A., Piovesan A., Pluess M., Podolsky I. M., Prescott J., Qi D., Qi X., Raikou V. D., Ranft A., Rhodes J., Rotge J. -Y., Rowe A. D., Saggar M., Schuon R. A., Shahid S., Shalchyan V., Shirvalkar P., Shiryayev O., Singh J., Smout M. J., Soares A., Song C., Srivastava K., Srivastava R. K., Sun J., Szabo A., Szymanski W., Tai C. N. P., Takeuchi H., Tanadini-Lang S., Tang F., Tao W., Theron G., Tian C. F., Tian Y. -S., Tuttle L. M., Valenti A., Verlot P., Walker M., Wang J., Welter D., Winslade M., Wu D., Wu Y. -R., Xiao H., Xu B., Xu Z., Yang D., Yang M., Yankilevich P., You Y., Yu C., Zhan J., Zhang G., Zhang K., Zhang T., Zhao G., Zhao J., Zhou X., Zhu Z., Ajani P. A., Anazodo U. C., Bagloee S. A., Bail K., Bar I., Bathelt J., Benkeser D., Bernier M. L., Blanchard A. M., Boakye D. W., Bonatsos V., Boon M. H., Bouboulis G., Bromfield E., Brown J., Bul K. C. M., Burton K. J., Butkowski E. G., Carroll G., Chao F., Charrier E. E., Chen Y. -C., Choi J. R., Christoffersen T., Comel J. C., Cosse C., Cui Y., van Dessel P., Diodato D., Duffey M., Dutt A., Egea L. G., El-Said M., Faye M., Fernandez-Fernandez B., Foley K. G., Founou L. L., Fu F., Gadelkareem R. A., Galimov E., Garip G., Gemmill A., Gouil Q., Grey J., Gridneva Z., Grothe M. J., Grebert T., Guerrero F., Guignard L., Haenssgen M. J., Hasler D., Holgate J. Y., Huang A., Hulse-Kemp A. M., Jean-Quartier C., Jeon S. -M., Jia Y., Jutzeler C., Kalatzis P., Karim M., Karsay K., Keitel A., Kempe A., Keown J. R., Khoo C. M., Khwaja N., Kievit R. A., Kosanic S., Koutoukidis D. A., Kramer P., Kumar D., Kirag N., Lanza G., Le T. D., Leem J. W., Leightley D., Leite A., Lercher L., Li Y., Lim R., Lima L. R. A., Lin L., Ling T., Liu Y., Liu Z., Lu Y., Lum F. M., Luo H., Machhi J., Macleod A., Macwan I., Madala H. R., Madani N., de Maio N., Makowiecki K., Mallinson D. J., Margelyte R., Maria C., Markonis Y., Marsili L., Mavoa S., McWilliams L., Megersa M., Souto-Maior C., Menichetti J., Mercieca-Bebber R., Miller J. J., Minde D. -P. M., Minges A., Mishra E., Mishra V. R., Moores C., Morrice N., Moskalensky A. E., Navarin N., Negera E., Nolet P., Nordberg A., Norden R., Nowicki J. P., Olova N., Olszewski P., Onzima R., Pan C. -L., Park C., Park D. I., Park S., Patil C. D., Pedro S. A., Perry S. R., Peter J., Peterson B. M., Pezzuolo A., Pozdnyakov I., Qian S., Qin L., Rafe A., Raote I., Raza A., Rebl H., Refai O., Regan T., Richa T., Richardson M. F., Robinson K. R., Rossoni L., Rouet R., Safaei S., Schneeberger P. H. H., Schwotzer D., Sebastian A., Selinski J., Seltmann S., Sha F., Shalev N., Shang J. -L., Singer J., Singh M., Smith T., Solomon-Moore E., Song L., Soraggi S., Stanley R., Steckhan N., Strobl F., Subissi L., Supriyanto I., Surve C. R., Suzuki T., Syme C., Sorelius K., Tang Y., Tantawy M., Tennakoon S., Teseo S., Toelzer C., Tomov N., Tovar M., Tran L., Tripathi S., Tuladhar A. M., Ukubuiwe A. C., Ung C. O. L., Valgepea K., Vatanparast H., Vidal A., Wang Q., Watari R., Webster R., Wei J., Wibowo D., Wingenbach T. S. H., Xavier R. M., Xiao S., Xiong P., Xu S., Yao R., Yao W., Yin Q., Zaitsu M., Zeineb Z., Zhan X. -Y., Zhang R., Zhang W., Zheng S., Zhou B., Ahmad H., Akinwumi S. A., Albery G. F., Alhowimel A., Ali J., Alshehri M., Alsuhaibani M., Anikin A., Azubuike S. O., Bach-Mortensen A., Baltiansky L., Bartas M., Belachew K. Y., Bhardwaj V., Binder K., Bland N. S., Boah M., Bullen B., Calabro G. E., Callahan T. J., Cao B., Chalmers K., Chang W., Che Z., Chen A. T. Y., Chen Z., Choi Y., Chowdhury M. A. K., Christensen M. R., Cooke R. S. C., Cottini M., Covington N. V., Cunningham C., Delarocque J., Devos L., Dhar A. R., Ding K. -F., Dong K., Dong Z., Dreyer N., Ekstrand C., Fardet T., Feleke B. E., Feurer T., Freitas A., Gao T., Giganti F., Grabowski P., Guerra-Mora J. R., Guo C., Guo X., Gupta H., He S., Heijne M., Heinemann S., Hogrebe A., Huang Z., Iskander-Rizk S., Iyer L. M., Jahan Y., James A. S., Joel E., Joffroy B., Jegousse C., Kambondo G., Karnati P., Kaya C., Ke A., Kelly D., Kickert R., Kidibule P. E., Kieselmann J. P., Kim H. J., Kitazawa T., Lamberts A., Liang H., Linn S. N., Litfin T., Liusuo W., Lygirou V., Mahato A. K., Mai Z. -M., Major R. W., Mali S., Mallis P., Mao W., Marvin-Dowle K., Mason L. D., Merideth B., Merino-Plaza M. 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D., Carninci P., Carvajal R., Chang S. C., Chao J., Chatterjee P., Chen L., Chhatriwalla A. K., Chikowe I., Chuang T. -J., Collevatti R. G., Cornejo D. A. V., Cuenda A., Dao M., Dauga D., Deng Z., Devkota K., Doan L. V., Elewa Y. H. A., Fan D., Faruk M., Feifei S., Ferguson T. S., Fleres F., Foster E. J., Foster S., Furer T., Gao Y., Garcia-Rivera E. J., Gazdar A., George R. B., Ghosh S., Gianchecchi E., Gleason J. M., Hackshaw A., Hall A., Hall R., Harper P., Hogg W. E., Huang G., Hunter K. E., Ijzerman A. P., Jesus C., Jian G., Lewis J. S., Kanj S. S., Kaur H., Kheir F., Kichatova V. S., Kiyani M., Klein R., Kovesi T., Kraschnewski J. L., Kumar A. P., Labutin D., Lazo-Langner A., Leclercq G., Li M., Li Q., Li T., Liao W. -T., Liao Z. -Y., Lin J., Lizer J., Lobreglio G., Lowies C., Lu C., Majeed H., Martin A., Martinez-Sobrido L., Meresh E., Middelveen M., Mohebbi A., Mota J., Mozaheb Z., Muyaya L., Nandhakumar A., Ng S. H. 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- Abstract
Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical science.
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- 2019
36. Frequent and Persistent, Asymptomatic Plasmodium falciparum Infections in African Infants, Characterized by Multilocus Genotyping
- Author
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Franks, S., Koram, K. A., Wagner, G. E., Tetteh, K., McGuinness, D., Wheeler, J. G., Nkrumah, F., Ranford-Cartwright, L., and Riley, E. M.
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- 2001
37. Publisher Correction:Discovery of rare variants associated with blood pressure regulation through meta-analysis of 1.3 million individuals
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Surendran, P, Feofanova, EV, Lahrouchi, N, Ntalla, I, Karthikeyan, S, Cook, J, Chen, L, Mifsud, B, Yao, C, Kraja, AT, Cartwright, JH, Hellwege, JN, Giri, A, Tragante, V, Thorleifsson, G, Liu, DJ, Prins, BP, Stewart, ID, Cabrera, CP, Eales, JM, Akbarov, A, Auer, PL, Bielak, LF, Bis, JC, Braithwaite, VS, Brody, JA, Daw, EW, Warren, HR, Drenos, F, Nielsen, SF, Faul, JD, Fauman, EB, Fava, C, Ferreira, T, Foley, CN, Franceschini, N, Gao, H, Giannakopoulou, O, Giulianini, F, Gudbjartsson, DF, Guo, X, Harris, SE, Havulinna, AS, Helgadottir, A, Huffman, JE, Hwang, S-J, Kanoni, S, Kontto, J, Larson, MG, Li-Gao, R, Lindstrom, J, Lotta, LA, Lu, Y, Luan, J, Mahajan, A, Malerba, G, Masca, NGD, Mei, H, Menni, C, Mook-Kanamori, DO, Mosen-Ansorena, D, Muller-Nurasyid, M, Pare, G, Paul, DS, Perola, M, Poveda, A, Rauramaa, R, Richard, M, Richardson, TG, Sepulveda, N, Sim, X, Smith, AV, Smith, JA, Staley, JR, Stanakova, A, Sulem, P, Theriault, S, Thorsteinsdottir, U, Trompet, S, Varga, TV, Velez Edwards, DR, Veronesi, G, Weiss, S, Willems, SM, Yao, J, Young, R, Yu, B, Zhang, W, Zhao, J-H, Zhao, W, Evangelou, E, Aeschbacher, S, Asllanaj, E, Blankenberg, S, Bonnycastle, LL, Bork-Jensen, J, Brandslund, I, Braund, PS, Burgess, S, Cho, K, Christensen, C, Connell, J, De Mutsert, R, Dominiczak, AF, Dorr, M, Eiriksdottir, G, Farmaki, A-E, Gaziano, JM, Grarup, N, Grove, ML, Hallmans, G, Hansen, T, Have, CT, Heiss, G, Jorgensen, ME, Jousilahti, P, Kajantie, E, Kamat, M, Karajamaki, A, Karpe, F, Koistinen, HA, Kovesdy, CP, Kuulasmaa, K, Laatikainen, I, Lannfelt, L, Lee, I-T, Lee, W-J, Linneberg, A, Martin, LW, Moitry, M, Nadkarni, G, Neville, MJ, Palmer, CNA, Papanicolaou, GJ, Pedersen, O, Peters, J, Poulter, N, Rasheed, A, Rasmussen, KL, Rayner, NW, Magi, R, Renstrom, F, Rettig, R, Rossouw, J, Schreiner, PJ, Sever, PS, Sigurdsson, EL, Skaaby, T, Sun, YV, Sundstrom, J, Thorgeirsson, G, Esko, T, Trabetti, E, Tsao, PS, Tuomi, T, Turner, ST, Tzoulaki, I, Vaartjes, I, Vergnaud, A-C, Willer, CJ, Wilson, PWF, Witte, DR, Yonova-Doing, E, Zhang, H, Aliya, N, Almgren, P, Amouyel, P, Asselbergs, FW, Barnes, MR, Blakemore, AI, Boehnke, M, Bots, ML, Bottinger, EP, Buring, JE, Chambers, JC, Chen, Y-DI, Chowdhury, R, Conen, D, Correa, A, Davey Smith, G, Boer, RAD, Deary, IJ, Dedoussis, G, Deloukas, P, Di Angelantonio, E, Elliott, P, Felix, SB, Ferrieres, J, Ford, I, Fornage, M, Franks, PW, Franks, S, Frossard, P, Gambaro, G, Gaunt, TR, Groop, L, Gudnason, V, Harris, TB, Hayward, C, Hennig, BJ, Herzig, K-H, Ingelsson, E, Tuomilehto, J, Jarvelin, M-R, Jukema, JW, Kardia, SLR, Kee, F, Kooner, JS, Kooperberg, C, Launer, LJ, Lind, L, Loos, RJF, Majumder, AAS, Laakso, M, McCarthy, MI, Melander, O, Mohlke, KL, Murray, AD, Nordestgaard, BG, Orho-Melander, M, Packard, CJ, Padmanabhan, S, Palmas, W, Polasek, O, Porteous, DJ, Prentice, AM, Province, MA, Relton, CL, Rice, K, Ridker, PM, Rolandsson, O, Rosendaal, FR, Rotter, JI, Rudan, I, Salomaa, V, Samani, NJ, Sattar, N, Sheu, WH-H, Smith, BH, Soranzo, N, Spector, TD, Starr, JM, Sebert, S, Taylor, KD, Lakka, TA, Timpson, NJ, Tobin, MD, Van der Harst, P, Van der Meer, P, Ramachandran, VS, Verweij, N, Virtamo, J, Volker, U, Weir, DR, Zeggini, E, Charchar, FJ, Wareham, NJ, Langenberg, C, Tomaszewski, M, Butterworth, AS, Caulfield, MJ, Danesh, J, Edwards, TL, Holm, H, Hung, AM, Lindgren, CM, Liu, C, Manning, AK, Morris, AP, Morrison, AC, O'Donnell, CJ, Psaty, BM, Saleheen, D, Stefansson, K, Boerwinkle, E, Chasman, DI, Levy, D, Newton-Cheh, C, Munroe, PB, Howson, JMM, and United Kingdom Research and Innovation
- Subjects
Genetics & Heredity ,Understanding Society Scientific Group ,Science & Technology ,business.industry ,Published Erratum ,Million Veteran Program ,MEDLINE ,Computational biology ,06 Biological Sciences ,Biology ,Blood pressure ,Text mining ,Meta-analysis ,EPIC-InterAct ,Genetics ,ComputingMethodologies_DOCUMENTANDTEXTPROCESSING ,business ,Life Sciences & Biomedicine ,EPIC-CVD ,11 Medical and Health Sciences ,LifeLines Cohort Study ,Developmental Biology - Abstract
In the version of this article originally published, the e-mail address of corresponding author Patricia B. Munroe was incorrect. The error has been corrected in the HTML and PDF versions of the article.
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- 2021
38. BMI in childhood and adolescence is associated with impaired reproductive function—a population-based cohort study from birth to age 50 years
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Laru, J, primary, Nedelec, R, additional, Koivuaho, E, additional, Ojaniemi, M, additional, Järvelin, M -R, additional, Tapanainen, J S, additional, Franks, S, additional, Tolvanen, M, additional, Piltonen, T T, additional, Sebert, S, additional, and Morin-Papunen, L, additional
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- 2021
- Full Text
- View/download PDF
39. O-163 Hyperandrogenaemia in early adulthood is an independent risk factor for abnormal glucose metabolism in later life
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Tuorila, K, primary, Ollila, M M, additional, Järvelin, M R, additional, Tapanainen, J, additional, Franks, S, additional, Puukka, K, additional, Piltonen, T, additional, and Morin-Papunen, L, additional
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- 2021
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40. Association of self-reported polycystic ovary syndrome, obesity, and weight gain from adolescence to adulthood with hypertensive disorders of pregnancy:a community-based approach
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Rantakallio, J. S. (Juhani S.S.), Nevalainen, J. E. (Jaana E.), West, S. I. (Sammeli I.), Ollila, M.-M. (Meri-Maija), Puukka, K. (Katri), Bloigu, A. H. (Aini H.), Järvelin, M.-R. (Marjo-Riitta), Tapanainen, J. S. (Juha S.), Franks, S. (Stephen), Dunkel, L. (Leo), Piltonen, T. T. (Terhi T.), Vääräsmäki, M. S. (Marja S.), and Morin-Papunen, L. C. (Laure C.)
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hyperandrogenism ,preeclampsia ,obesity ,cohort studies ,polycystic ovary syndrome ,weight gain ,follow-up studies - Abstract
The purpose of this prospective, population-based cohort study was to evaluate the roles of polycystic ovary syndrome (PCOS), obesity, weight gain, and hyperandrogenemia in the development of hypertensive disorders of pregnancy (HDP) through fertile age both in PCOS and in non-PCOS women. The study population—NFBC1966 (Northern Finland Birth Cohort 1966)—allowed a long-term follow-up of women from age 14 until 46 years who developed HDP (n=408) or did not (n=3373). HDP diagnosis was confirmed by combining hospital discharge records, data from Finnish Medical Birth Registers, and the questionnaire data at age 46. Women with self-reported PCOS (srPCOS; n=279), defined by both oligo-amenorrhea and hirsutism at age 31 or with PCOS diagnosis by age 46, were compared with women without reported PCOS (n=1577). Women with srPCOS had an increased HDP risk (odds ratio, 1.56 [95% CI, 1.03–2.37]), but the association disappeared after adjustment for body mass index. In women with srPCOS and HDP, body mass index increased from age 14 to 46 significantly more than in srPCOS women without HDP (median [interquartile range], 9.82 [6.23–14.6] and 7.21 [4.16–10.5] kg/m², respectively; P
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- 2021
41. Tissue Programmed Hydrogels Functionalized with GDNF Improve Human Neural Grafts in Parkinson's Disease (Adv. Funct. Mater. 47/2021)
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Hunt, CPJ, Penna, V, Gantner, CW, Moriarty, N, Wang, Y, Franks, S, Ermine, CM, de Luzy, IR, Pavan, C, Long, BM, Williams, RJ, Thompson, LH, Nisbet, DR, Parish, CL, Hunt, CPJ, Penna, V, Gantner, CW, Moriarty, N, Wang, Y, Franks, S, Ermine, CM, de Luzy, IR, Pavan, C, Long, BM, Williams, RJ, Thompson, LH, Nisbet, DR, and Parish, CL
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- 2021
42. Tissue Programmed Hydrogels Functionalized with GDNF Improve Human Neural Grafts in Parkinson's Disease
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Hunt, CPJ, Penna, V, Gantner, CW, Moriarty, N, Wang, Y, Franks, S, Ermine, CM, de Luzy, IR, Pavan, C, Long, BM, Williams, Richard, Thompson, LH, Nisbet, DR, Parish, CL, Hunt, CPJ, Penna, V, Gantner, CW, Moriarty, N, Wang, Y, Franks, S, Ermine, CM, de Luzy, IR, Pavan, C, Long, BM, Williams, Richard, Thompson, LH, Nisbet, DR, and Parish, CL
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- 2021
43. Is Viral Vector Gene Delivery More Effective Using Biomaterials?
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Wang, Y, Bruggeman, KF, Franks, S, Gautam, V, Hodgetts, SI, Harvey, AR, Williams, RJ, Nisbet, DR, Wang, Y, Bruggeman, KF, Franks, S, Gautam, V, Hodgetts, SI, Harvey, AR, Williams, RJ, and Nisbet, DR
- Abstract
Gene delivery has been extensively investigated for introducing foreign genetic material into cells to promote expression of therapeutic proteins or to silence relevant genes. This approach can regulate genetic or epigenetic disorders, offering an attractive alternative to pharmacological therapy or invasive protein delivery options. However, the exciting potential of viral gene therapy has yet to be fully realized, with a number of clinical trials failing to deliver optimal therapeutic outcomes. Reasons for this include difficulty in achieving localized delivery, and subsequently lower efficacy at the target site, as well as poor or inconsistent transduction efficiency. Thus, ongoing efforts are focused on improving local viral delivery and enhancing its efficiency. Recently, biomaterials have been exploited as an option for more controlled, targeted and programmable gene delivery. There is a growing body of literature demonstrating the efficacy of biomaterials and their potential advantages over other delivery strategies. This review explores current limitations of gene delivery and the progress of biomaterial-mediated gene delivery. The combination of biomaterials and gene vectors holds the potential to surmount major challenges, including the uncontrolled release of viral vectors with random delivery duration, poorly localized viral delivery with associated off-target effects, limited viral tropism, and immune safety concerns.
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- 2021
44. Replace and repair: Biomimetic bioprinting for effective muscle engineering
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Blake, C, Massey, O, Boyd-Moss, M, Firipis, K, Rifai, A, Franks, S, Quigley, A, Kapsa, R, Nisbet, DR, Williams, RJ, Blake, C, Massey, O, Boyd-Moss, M, Firipis, K, Rifai, A, Franks, S, Quigley, A, Kapsa, R, Nisbet, DR, and Williams, RJ
- Abstract
The debilitating effects of muscle damage, either through ischemic injury or volumetric muscle loss (VML), can have significant impacts on patients, and yet there are few effective treatments. This challenge arises when function is degraded due to significant amounts of skeletal muscle loss, beyond the regenerative ability of endogenous repair mechanisms. Currently available surgical interventions for VML are quite invasive and cannot typically restore function adequately. In response to this, many new bioengineering studies implicate 3D bioprinting as a viable option. Bioprinting for VML repair includes three distinct phases: printing and seeding, growth and maturation, and implantation and application. Although this 3D bioprinting technology has existed for several decades, the advent of more advanced and novel printing techniques has brought us closer to clinical applications. Recent studies have overcome previous limitations in diffusion distance with novel microchannel construct architectures and improved myotubule alignment with highly biomimetic nanostructures. These structures may also enhance angiogenic and nervous ingrowth post-implantation, though further research to improve these parameters has been limited. Inclusion of neural cells has also shown to improve myoblast maturation and development of neuromuscular junctions, bringing us one step closer to functional, implantable skeletal muscle constructs. Given the current state of skeletal muscle 3D bioprinting, the most pressing future avenues of research include furthering our understanding of the physical and biochemical mechanisms of myotube development and expanding our control over macroscopic and microscopic construct structures. Further to this, current investigation needs to be expanded from immunocompromised rodent and murine myoblast models to more clinically applicable human cell lines as we move closer to viable therapeutic implementation.
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- 2021
45. The gut microbiome in polycystic ovary syndrome and its association with metabolic traits
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Lüll, K. (Kreete), Arffman, R. K. (Riikka K.), Sola-Leyva, A. (Alberto), Molina, N. M. (Nerea M.), Aasmets, O. (Oliver), Herzig, K.-H. (Karl-Heinz), Plaza-Díaz, J. (Julio), Franks, S. (Stephen), Morin-Papunen, L. (Laure), Tapanainen, J. S. (Juha S.), Salumets, A. (Andres), Altmäe, S. (Signe), Piltonen, T. T. (Terhi T.), Org, E. (Elin), Lüll, K. (Kreete), Arffman, R. K. (Riikka K.), Sola-Leyva, A. (Alberto), Molina, N. M. (Nerea M.), Aasmets, O. (Oliver), Herzig, K.-H. (Karl-Heinz), Plaza-Díaz, J. (Julio), Franks, S. (Stephen), Morin-Papunen, L. (Laure), Tapanainen, J. S. (Juha S.), Salumets, A. (Andres), Altmäe, S. (Signe), Piltonen, T. T. (Terhi T.), and Org, E. (Elin)
- Abstract
Context: Despite the gut microbiome being widely studied in metabolic diseases, its role in polycystic ovary syndrome (PCOS) has been scarcely investigated. Objective: Compare the gut microbiome in late fertile age women with and without PCOS and investigate whether changes in the gut microbiome correlate with PCOS-related metabolic parameters. Design: Prospective, case–control study using the Northern Finland Birth Cohort 1966. Setting: General community. Participants: A total of 102 PCOS women and 201 age- and body mass index (BMI)-matched non-PCOS control women. Clinical and biochemical characteristics of the participants were assessed at ages 31 and 46 and analyzed in the context of gut microbiome data at the age of 46. Intervention: (s): None Main outcome measure(s): Bacterial diversity, relative abundance, and correlations with PCOS-related metabolic measures. Results: Bacterial diversity indices did not differ significantly between PCOS and controls (Shannon diversity P = .979, unweighted UniFrac P = .175). Four genera whose balance helps to differentiate between PCOS and non-PCOS were identified. In the whole cohort, the abundance of 2 genera from Clostridiales, Ruminococcaceae UCG-002, and Clostridiales Family XIII AD3011 group, were correlated with several PCOS-related markers. Prediabetic PCOS women had significantly lower alpha diversity (Shannon diversity P = .018) and markedly increased abundance of genus Dorea (false discovery rate = 0.03) compared with women with normal glucose tolerance. Conclusions: PCOS and non-PCOS women at late fertile age with similar BMI do not significantly differ in their gut microbial profiles. However, there are significant microbial changes in PCOS individuals depending on their metabolic health.
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- 2021
46. BMI in childhood and adolescence is associated with impaired reproductive function:a population-based cohort study from birth to age 50 years
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Laru, J. (J.), Nedelec, R. (R.), Koivuaho, E. (E.), Ojaniemi, M. (M.), Järvelin, M.-R. (M.-R.), Tapanainen, J. (J.S.), Franks, S. (S.), Tolvanen, M. (M.), Piltonen, T. (T.T.), Sebert, S. (S.), Morin-Papunen, L. (L.), Laru, J. (J.), Nedelec, R. (R.), Koivuaho, E. (E.), Ojaniemi, M. (M.), Järvelin, M.-R. (M.-R.), Tapanainen, J. (J.S.), Franks, S. (S.), Tolvanen, M. (M.), Piltonen, T. (T.T.), Sebert, S. (S.), and Morin-Papunen, L. (L.)
- Abstract
Study question: What is the association between childhood and adolescent BMI and reproductive capacity in women? Summary answer: Adolescent girls with obesity had an increased risk of infertility and childlessness in adulthood independently of their marital status or the presence of polycystic ovary syndrome (PCOS). What is known already: Girls with obesity (BMI (kg/m²)>95th percentile) more often exhibit menstrual irregularities and infertility problems as compared to those with normal weight, and premenarcheal girls with obesity have an increased risk of childlessness and infertility in adulthood. Follow-up studies on the relation between childhood and adolescence growth patterns and fertility or parity throughout the reproductive life span are limited. Study design, size, duration: A prospective, population-based cohort study (the Northern Finland birth cohort 1966) was performed with 5889 women born in 1966 and followed from birth to age 50 years. Postal questionnaires at ages 31 and 46 years addressed questions on reproductive capacity evaluated by decreased fecundability, need for infertility assessment and treatment by 46 years of age. Childlessness and number of children by age 50 years were recovered from registers. Women who did not report ever having attempted to achieve pregnancy (n = 1507) were excluded. The final study population included 4382 women who attempted to achieve pregnancy before age 46 years. Participants/materials, setting, methods: Data on BMI were collected by trained personnel at all stages. We assessed association with both prospectively measured BMI at various time points and with early adiposity phenotypes derived from linear mixed models including the timing and the BMI at adiposity peak (AP) and adiposity rebound (AR). Self-reported infertility assessments and treatments were assessed at ages 31 and 46 years. Data on deliveries were collected from the national birth register. Decreased fecundability was defined at age 31 y
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- 2021
47. Impact of FTO genotypes on BMI and weight in polycystic ovary syndrome: a systematic review and meta-analysis
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Wojciechowski, P., Lipowska, A., Rys, P., Ewens, K. G., Franks, S., Tan, S., Lerchbaum, E., Vcelak, J., Attaoua, R., Straczkowski, M., Azziz, R., Barber, T. M., Hinney, A., Obermayer-Pietsch, B., Lukasova, P., Bendlova, B., Grigorescu, F., Kowalska, I., Goodarzi, M. O., Strauss, III, J. F., McCarthy, M. I., Malecki, M. T., and GIANT Consortium
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- 2012
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48. Does Suppressing Luteinising Hormone Secretion Reduce The Miscarriage Rate? Results Of A Randomised Controlled Trial
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Clifford, K., Rai, R., Watson, H., Franks, S., and Regan, L.
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- 1996
49. Irregular menstruation and hyperandrogenaemia in adolescence are associated with polycystic ovary syndrome and infertility in later life: Northern Finland Birth Cohort 1986 study
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West, S., Lashen, H., Bloigu, A., Franks, S., Puukka, K., Ruokonen, A., Järvelin, M.-R., Tapanainen, J.S., and Morin-Papunen, L.
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- 2014
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50. Anti-Müllerian hormone: correlation with testosterone and oligo- or amenorrhoea in female adolescence in a population-based cohort study
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Pinola, P., Morin-Papunen, L.C., Bloigu, A., Puukka, K., Ruokonen, A., Järvelin, M.-R., Franks, S., Tapanainen, J.S., and Lashen, H.
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- 2014
- Full Text
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