Search

Your search keyword '"Auvinen, A."' showing total 9,114 results
Start Over Author "Auvinen, A."
9,114 results on '"Auvinen, A."'

1. Effects of saturation and fluctuating hotspots for flow observables in ultrarelativistic heavy-ion collisions

Author

Hirvonen, Henry, Kuha, Mikko, Auvinen, Jussi, Eskola, Kari J., Kanakubo, Yuuka, and Niemi, Harri

Subjects
High Energy Physics - Phenomenology, Nuclear Theory
Abstract

We investigate the effects of saturation dynamics on midrapidity flow observables by adding fluctuating hotspots into the novel Monte Carlo EKRT (MC-EKRT) event generator for high-energy nuclear collisions. We demonstrate that the intensity of the saturation effects significantly affects the ratio between the flow coefficients $v_3$ and $v_2$ at the LHC. Adding a hotspot substructure to the nucleons enhances the saturation effects and improves the agreement with the measured data. We show that the collision-energy dependence of the flow coefficients obtained using the MC-EKRT initial states with hotspots is improved in comparison with the earlier event-by-event EKRT model. In addition, we present the results for the charged hadron multiplicity distribution in Pb+Pb collisions at the LHC, and show that the minijet-multiplicity originating fluctuations of the saturation scale included in MC-EKRT, as well as the presence of hotspots, are necessary for describing the measured large-multiplicity tail in the distribution., Comment: 13 pages, 7 figures

Published
2024

2. MC-EKRT: Monte Carlo event generator with saturated minijet production for initializing 3+1 D fluid dynamics in high energy nuclear collisions

Author

Kuha, Mikko, Auvinen, Jussi, Eskola, Kari J., Hirvonen, Henry, Kanakubo, Yuuka, and Niemi, Harri

Subjects
High Energy Physics - Phenomenology, Nuclear Theory
Abstract

We present a novel Monte-Carlo implementation of the EKRT model, MC-EKRT, for computing partonic initial states in high-energy nuclear collisions. Our new MC-EKRT event generator is based on collinearly factorized, dynamically fluctuating pQCD minijet production, supplemented with a saturation conjecture that controls the low-$p_T$ particle production. Previously, the EKRT model has been very successful in describing low-$p_T$ observables at mid-rapidity in heavy-ion collisions at the LHC and RHIC energies. As novel features, our new MC implementation gives a full 3-dimensional initial state event-by-event, includes dynamical minijet-multiplicity fluctuations in the saturation and particle production, introduces a new type of spatially dependent nuclear parton distribution functions, and accounts for the conservation of energy/momentum and valence-quark number. In this proof-of-principle study, we average a large set of event-by-event MC-EKRT initial conditions and compute the rapidity and centrality dependence of the charged hadron multiplicities and elliptic flow for the LHC Pb+Pb and RHIC Au+Au collisions using 3+1 D viscous fluid-dynamical evolution. Also event-by-event fluctuations and decorrelations of initial eccentricities are studied. The good agreement with the rapidity-dependent data suggests that the same saturation mechanism that has been very successful in explaining the mid-rapidity observables, works well also at larger rapidities., Comment: 31 pages, 18 figures

Published
2024

4. Probing the shape of the quark-gluon plasma droplet via event-by-event QGP tomography

Author

Karmakar, Bithika, Zigic, Dusan, Huovinen, Pasi, Djordjevic, Marko, Djordjevic, Magdalena, and Auvinen, Jussi

Subjects
High Energy Physics - Phenomenology, Nuclear Theory
Abstract

This study investigates Quark-Gluon Plasma (QGP) in heavy-ion collisions through two avenues: high-$p_{\perp}$ frameworks and hydrodynamic modeling. Using the T$_{\text{R}}$ENTo model, we find that IP-Glasma mimicking $p=0$ value aligns well with high-$p_{\perp}$ data, in agreement with Bayesian analysis of the low-$p_{\perp}$ regime. While adjusting $p$ values may improve a fit to a particular high-$p_{\perp}$ observable, it does not permit an earlier onset of transverse expansion., Comment: 15 pages, 6 figures

Published
2024

10. Blood DNA methylation profiling identifies cathepsin Z dysregulation in pulmonary arterial hypertension

Author

Ulrich, Anna, Wu, Yukyee, Draisma, Harmen, Wharton, John, Swietlik, Emilia M., Cebola, Inês, Vasilaki, Eleni, Balkhiyarova, Zhanna, Jarvelin, Marjo-Riitta, Auvinen, Juha, Herzig, Karl-Heinz, Coghlan, J. Gerry, Lordan, James, Church, Colin, Howard, Luke S., Pepke-Zaba, Joanna, Toshner, Mark, Wort, Stephen J., Kiely, David G., Condliffe, Robin, Lawrie, Allan, Gräf, Stefan, Morrell, Nicholas W., Wilkins, Martin R., Prokopenko, Inga, and Rhodes, Christopher J.

Published
2024
Full Text
View/download PDF

11. Characterizing prostate cancer risk through multi-ancestry genome-wide discovery of 187 novel risk variants.

Author

Wang, Anqi, Shen, Jiayi, Rodriguez, Alex, Saunders, Edward, Chen, Fei, Janivara, Rohini, Darst, Burcu, Sheng, Xin, Xu, Yili, Chou, Alisha, Benlloch, Sara, Dadaev, Tokhir, Brook, Mark, Plym, Anna, Sahimi, Ali, Hoffman, Thomas, Takahashi, Atushi, Matsuda, Koichi, Momozawa, Yukihide, Fujita, Masashi, Laisk, Triin, Figuerêdo, Jéssica, Muir, Kenneth, Ito, Shuji, Liu, Xiaoxi, Uchio, Yuji, Kubo, Michiaki, Kamatani, Yoichiro, Lophatananon, Artitaya, Wan, Peggy, Andrews, Caroline, Lori, Adriana, Choudhury, Parichoy, Schleutker, Johanna, Tammela, Teuvo, Sipeky, Csilla, Auvinen, Anssi, Giles, Graham, Southey, Melissa, MacInnis, Robert, Cybulski, Cezary, Wokolorczyk, Dominika, Lubinski, Jan, Rentsch, Christopher, Cho, Kelly, Mcmahon, Benjamin, Neal, David, Donovan, Jenny, Hamdy, Freddie, Martin, Richard, Nordestgaard, Borge, Nielsen, Sune, Weischer, Maren, Bojesen, Stig, Røder, Andreas, Stroomberg, Hein, Batra, Jyotsna, Chambers, Suzanne, Horvath, Lisa, Clements, Judith, Tilly, Wayne, Risbridger, Gail, Gronberg, Henrik, Aly, Markus, Szulkin, Robert, Eklund, Martin, Nordstrom, Tobias, Pashayan, Nora, Dunning, Alison, Ghoussaini, Maya, Travis, Ruth, Key, Tim, Riboli, Elio, Park, Jong, Sellers, Thomas, Lin, Hui-Yi, Albanes, Demetrius, Weinstein, Stephanie, Cook, Michael, Mucci, Lorelei, Giovannucci, Edward, Lindstrom, Sara, Kraft, Peter, Hunter, David, Penney, Kathryn, Turman, Constance, Tangen, Catherine, Goodman, Phyllis, Thompson, Ian, Hamilton, Robert, Fleshner, Neil, Finelli, Antonio, Parent, Marie-Élise, Stanford, Janet, Ostrander, Elaine, Koutros, Stella, Beane Freeman, Laura, Stampfer, Meir, Wolk, Alicja, and Håkansson, Niclas

Subjects
Humans, Male, Black People, Genetic Predisposition to Disease, Genome-Wide Association Study, Hispanic or Latino, Polymorphism, Single Nucleotide, Prostatic Neoplasms, Risk Factors, White People, Asian People
Abstract

The transferability and clinical value of genetic risk scores (GRSs) across populations remain limited due to an imbalance in genetic studies across ancestrally diverse populations. Here we conducted a multi-ancestry genome-wide association study of 156,319 prostate cancer cases and 788,443 controls of European, African, Asian and Hispanic men, reflecting a 57% increase in the number of non-European cases over previous prostate cancer genome-wide association studies. We identified 187 novel risk variants for prostate cancer, increasing the total number of risk variants to 451. An externally replicated multi-ancestry GRS was associated with risk that ranged from 1.8 (per standard deviation) in African ancestry men to 2.2 in European ancestry men. The GRS was associated with a greater risk of aggressive versus non-aggressive disease in men of African ancestry (P = 0.03). Our study presents novel prostate cancer susceptibility loci and a GRS with effective risk stratification across ancestry groups.

Published
2023

12. Evaluation of European-based polygenic risk score for breast cancer in Ashkenazi Jewish women in Israel

Author

Levi, Hagai, Carmi, Shai, Rosset, Saharon, Yerushalmi, Rinat, Zick, Aviad, Yablonski-Peretz, Tamar, Consortium, The BCAC, Wang, Qin, Bolla, Manjeet K, Dennis, Joe, Michailidou, Kyriaki, Lush, Michael, Ahearn, Thomas, Andrulis, Irene L, Anton-Culver, Hoda, Antoniou, Antonis C, Arndt, Volker, Augustinsson, Annelie, Auvinen, Päivi, Freeman, Laura Beane, Beckmann, Matthias, Behrens, Sabine, Bermisheva, Marina, Bodelon, Clara, Bogdanova, Natalia V, Bojesen, Stig E, Brenner, Hermann, Byers, Helen, Camp, Nicola, Castelao, Jose, Chang-Claude, Jenny, Chirlaque, María-Dolores, Chung, Wendy, Clarke, Christine, Collaborators, NBCS, Collee, Margriet J, Colonna, Sarah, Consortium, CTS, Couch, Fergus, Cox, Angela, Cross, Simon S, Czene, Kamila, Daly, Mary, Devilee, Peter, Dork, Thilo, Dossus, Laure, Eccles, Diana M, Eliassen, A Heather, Eriksson, Mikael, Evans, Gareth, Fasching, Peter, Fletcher, Olivia, Flyger, Henrik, Fritschi, Lin, Gabrielson, Marike, Gago-Dominguez, Manuela, García-Closas, Montserrat, Garcia-Saenz, Jose Angel, Genkinger, Jeanine, Giles, Graham G, Goldberg, Mark, Guénel, Pascal, Hall, Per, Hamann, Ute, He, Wei, Hillemanns, Peter, Hollestelle, Antoinette, Hoppe, Reiner, Hopper, John, Investigators, ABCTB, Jakovchevska, Simona, Jakubowska, Anna, Jernström, Helena, John, Esther, Johnson, Nichola, Jones, Michael, Vijai, Joseph, Kaaks, Rudolf, Khusnutdinova, Elza, Kitahara, Cari, Koutros, Stella, Kristensen, Vessela, Kurian, Allison W, Lacey, James, Lambrechts, Diether, Le Marchand, Loic, Lejbkowicz, Flavio, Lindblom, Annika, Loibl, Sibylle, Lori, Adriana, Lubinski, Jan, Mannermaa, Arto, Manoochehri, Mehdi, Mavroudis, Dimitrios, Menon, Usha, Mulligan, AnnaMarie, Murphy, Rachel, Nevelsteen, Ines, Newman, William G, and Obi, Nadia

Subjects
Biological Sciences, Biomedical and Clinical Sciences, Genetics, Oncology and Carcinogenesis, Breast Cancer, Prevention, Cancer, Humans, Female, Breast Neoplasms, Genome-Wide Association Study, Jews, Israel, Genetic Predisposition to Disease, Risk Factors, Multifactorial Inheritance, Transcription Factors, Genomics, Polymorphism, Genetic, BCAC Consortium, NBCS Collaborators, CTS Consortium, ABCTB Investigators, Polymorphism, Genetic, Medical and Health Sciences, Genetics & Heredity, Clinical sciences
Abstract

BackgroundPolygenic risk score (PRS), calculated based on genome-wide association studies (GWASs), can improve breast cancer (BC) risk assessment. To date, most BC GWASs have been performed in individuals of European (EUR) ancestry, and the generalisation of EUR-based PRS to other populations is a major challenge. In this study, we examined the performance of EUR-based BC PRS models in Ashkenazi Jewish (AJ) women.MethodsWe generated PRSs based on data on EUR women from the Breast Cancer Association Consortium (BCAC). We tested the performance of the PRSs in a cohort of 2161 AJ women from Israel (1437 cases and 724 controls) from BCAC (BCAC cohort from Israel (BCAC-IL)). In addition, we tested the performance of these EUR-based BC PRSs, as well as the established 313-SNP EUR BC PRS, in an independent cohort of 181 AJ women from Hadassah Medical Center (HMC) in Israel.ResultsIn the BCAC-IL cohort, the highest OR per 1 SD was 1.56 (±0.09). The OR for AJ women at the top 10% of the PRS distribution compared with the middle quintile was 2.10 (±0.24). In the HMC cohort, the OR per 1 SD of the EUR-based PRS that performed best in the BCAC-IL cohort was 1.58±0.27. The OR per 1 SD of the commonly used 313-SNP BC PRS was 1.64 (±0.28).ConclusionsExtant EUR GWAS data can be used for generating PRSs that identify AJ women with markedly elevated risk of BC and therefore hold promise for improving BC risk assessment in AJ women.

Published
2023

14. Constraining $\eta /s$ through high-p$_\perp$ theory and data

Author

Karmakar, Bithika, Zigic, Dusan, Salom, Igor, Auvinen, Jussi, Huovinen, Pasi, Djordjevic, Marko, and Djordjevic, Magdalena

Subjects
High Energy Physics - Phenomenology, Nuclear Theory
Abstract

We study whether it is possible to use high-$p_\perp$ data/theory to constrain the temperature dependence of the shear viscosity over entropy density ratio $\eta/s$ of the matter formed in ultrarelativistic heavy-ion collisions at the BNL Relativistic Heavy Ion Collider (RHIC) and the CERN Large Hadron Collider (LHC). We use two approaches: i) We calculate high-$p_\perp$ $R_{AA}$ and flow coefficients $v_2$, $v_3$ and $v_4$ assuming different $(\eta/s)(T)$ of the fluid-dynamically evolving medium. ii) We calculate the quenching strength ($\hat{q}/T^3$) from our dynamical energy loss model and convert it to $\eta/s$ as a function of temperature. It turned out that the first approach can not distinguish between different $(\eta/s)(T)$ assumptions when the evolution is constrained to reproduce the low-$p_\perp$ data. In distinction, $(\eta/s)(T)$ calculated using the second approach agrees surprisingly well with the $(\eta/s)(T)$ inferred through state-of-the-art Bayesian analyses of the low-$p_\perp$ data even in the vicinity of $T_c$, while providing much smaller uncertainties at high temperatures., Comment: 25 pages, 9 figures, Version published in Physical Review C

Published
2023
Full Text
View/download PDF

15. Metagenome-assembled microbial genomes from Parkinson’s disease fecal samples

Author

Ilhan Cem Duru, Alexandre Lecomte, Tânia Keiko Shishido, Pia Laine, Joni Suppula, Lars Paulin, Filip Scheperjans, Pedro A. B. Pereira, and Petri Auvinen

Subjects
Parkinson’s disease, Metagenome, Ruminococcus bromii, Microdiversity, Medicine, Science
Abstract

Abstract The human gut microbiome composition has been linked to Parkinson’s disease (PD). However, knowledge of the gut microbiota on the genome level is still limited. Here we performed deep metagenomic sequencing and binning to build metagenome-assembled genomes (MAGs) from 136 human fecal microbiomes (68 PD samples and 68 control samples). We constructed 952 non-redundant high-quality MAGs and compared them between PD and control groups. Among these MAGs, there were 22 different genomes of Collinsella and Prevotella, indicating high variability of those genera in the human gut environment. Microdiversity analysis indicated that Ruminococcus bromii was statistically significantly (p

Published
2024
Full Text
View/download PDF

17. Do people's health, financial and social resources contribute to subjective wellbeing differently at the age of fifty than later in life?

Author

Terhi Auvinen, Ismo Linnosmaa, and Mieke Rijken

Subjects
Aging, Subjective wellbeing, Health, Social networks, Resource theories, International survey, Human ecology. Anthropogeography, GF1-900, Social sciences (General), H1-99
Abstract

Population aging calls for a thorough understanding of how age impacts subjective wellbeing. Resource theories posit that people need resources, such as health and social relations, to produce subjective wellbeing. Since losing resources is more likely at older age, we examined whether the availability of resources indeed changes with age, and how this affects subjective wellbeing.We analysed data from 75,895 individuals aged 50 and older participating in two or more waves of the Survey of Health, Ageing, and Retirement in Europe. We analysed, separately for women and men, fixed effect regression models, estimating main and interaction effects of age and indicators of health, financial and social resources on two indicators of subjective wellbeing, i.e., life satisfaction and quality of life.We found that the contribution of health to subjective wellbeing does not diminish in later life, and is not different for women and men. Also, having some close others is important for both women and men to maintain subjective wellbeing at every age. However, having a wider social network contributes more to the subjective wellbeing of women than of men at older age. Furthermore, having limited financial means and being widowed might get a bit easier to endure with advanced age, though there is no threshold of age after which any of these resources becomes irrelevant.Health and social policies are needed to strengthen older people's resources, to help maintain subjective wellbeing up to very old age. Gender differences should be taken into account when developing these policies.

Published
2024
Full Text
View/download PDF

18. Trends in the incidence of newly diagnosed cerebral cavernous malformations in Finland: a population-based retrospective cohort studyResearch in context

Author

Aleksi Halmela, Emilia Saari, Jani Raitanen, Timo Koivisto, Anssi Auvinen, and Juhana Frösen

Subjects
Cerebral, Cavernoma, Cavernous malformation, Incidence, Symptoms, Public aspects of medicine, RA1-1270
Abstract

Summary: Background: The few previous studies that have estimated the incidence of cerebral cavernous malformations (cavernomas) have reported incidence rates of 0.2–1.9/100,000 for diagnosed cavernomas. Our aim was to describe incidence trends of cavernomas by clinical presentation. Methods: We conducted a retrospective cohort study of cavernomas diagnosed at two university hospitals in Finland (Kuopio University Hospital, KUH and Tampere University Hospital, TAUH). Cavernoma diagnoses during 2004–2020 were identified from the KUH and TAUH Care registry databases and verified from medical records and diagnostic imaging studies. We calculated the age-standardized incidence rates using the European standard population and analysed incidence trend and changes in trend by sex, age group, and calendar year using Poisson regression. Findings: A total of 669 cavernoma diagnoses were identified during 2004–2020 in the combined KUH and TAUH population. The age-standardized incidence rate was 2.01/100,000 (95% confidence interval (CI) 1.85–2.16) for all cavernoma diagnoses, 1.25/100,000 (1.13–1.37) for asymptomatic, 0.75/100,000 (0.66–0.85) for symptomatic, and 0.46/100,000 (0.39–0.53) for ruptured cavernomas. No significant difference in the incidence of cavernoma diagnoses was seen between the KUH and TAUH populations or between the sexes. Incidence of cavernomas was highest at ages 40–59 years and low in those under 20 or over 80 years of age. Incidence of diagnosed cavernomas, especially asymptomatic, increased during the study period. Interpretation: In our population-based study, incidence of cavernomas was higher than previously reported and increased during the study period. The burden imposed by cavernomas on healthcare system is considerable and increasing. Funding: The Research Council of Finland, Kuopio University Hospital, Tampere University Hospital, and Wellbeing services county of Pirkanmaa.

Published
2024
Full Text
View/download PDF

19. Aerobic adaptation and metabolic dynamics of Propionibacterium freudenreichii DSM 20271: insights from comparative transcriptomics and surfaceome analysis

Author

Iida Loivamaa, Annika Sillanpää, Paulina Deptula, Bhawani Chamlagain, Minnamari Edelmann, Petri Auvinen, Tuula A. Nyman, Kirsi Savijoki, Vieno Piironen, and Pekka Varmanen

Subjects
Propionibacterium, vitamin B12, cobamides, aerobic, anaerobic, transcriptomics, Microbiology, QR1-502
Abstract

ABSTRACT Propionibacterium freudenreichii (PFR) DSM 20271T is a bacterium known for its ability to thrive in diverse environments and to produce vitamin B12. Despite its anaerobic preference, recent studies have elucidated its ability to prosper in the presence of oxygen, prompting a deeper exploration of its physiology under aerobic conditions. Here, we investigated the response of DSM 20271T to aerobic growth by employing comparative transcriptomic and surfaceome analyses alongside metabolite profiling. Cultivation under controlled partial pressure of oxygen (pO2) conditions revealed significant increases in biomass formation and altered metabolite production, notably of vitamin B12, pseudovitamin-B12, propionate, and acetate, under aerobic conditions. Transcriptomic analysis identified differential expression of genes involved in lactate metabolism, tricarboxylic acid cycle, and electron transport chain, suggesting metabolic adjustments to aerobic environments. Moreover, surfaceome analysis unveiled growth environment-dependent changes in surface protein abundance, with implications for adaptation to atmospheric conditions. Supplementation experiments with key compounds highlighted the potential for enhancing aerobic growth, emphasizing the importance of iron and α-ketoglutarate availability. Furthermore, in liquid culture, FeSO4 supplementation led to increased heme production and reduced vitamin B12 production, highlighting the impact of oxygen and iron availability on the metabolic pathways. These findings deepen our understanding of PFR’s physiological responses to oxygen availability and offer insights for optimizing its growth in industrial applications.IMPORTANCEThe study of the response of Propionibacterium freudenreichii to aerobic growth is crucial for understanding how this bacterium adapts to different environments and produces essential compounds like vitamin B12. By investigating its physiological changes under aerobic conditions, we can gain insights into its metabolic adjustments and potential for enhanced growth. These findings not only deepen our understanding of P. freudenreichii's responses to oxygen availability but also offer valuable information for optimizing its growth in industrial applications. This research sheds light on the adaptive mechanisms of this bacterium, providing a foundation for further exploration and potential applications in various fields.

Published
2024
Full Text
View/download PDF

20. Ecumenical Missiology: God's Mission and the Battle against Oppressive Power Relations and Poverty

Author

Auvinen, Mari-Anna

Subjects
Philosophy and religion, International Missionary Council
Abstract

In this article I analyse the concept and contextuality of ecumenical missiology and its contemporary paradigms. Furthermore, I argue that the mission from the margins paradigm may construct a new method for undoing constantly increasing marginalization when understoodfrom both its theological and philosophicalpoints of view. This article celebrates togetherness in missio Dei as life-giving mission of God and argues that transformation is the only hope for humankind and the churches. It was written to honour Finnish missiologist Dr Risto Ahonen on his 80th birthday. Keywords paradigms of ecumenical missiology, mission from the margins, development of ecumenical missiology, contextual theology, Together towards Life and Evangelii Gaudium, transformation, Lutheranism, Climate Change and Poverty as Missiological Challenges In December 2019, the Finnish Ecumenical Council, the Institute of Atmospheric and Earth System Research, and the Finnish Innovation Fund Sitra co-organized a [...]

Published
2024
Full Text
View/download PDF

24. Elevated fecal calprotectin is associated with gut microbial dysbiosis, altered serum markers and clinical outcomes in older individuals

Author

Sebastian Heinzel, Jenna Jureczek, Veera Kainulainen, Anni I. Nieminen, Ulrike Suenkel, Anna-Katharina von Thaler, Christoph Kaleta, Gerhard W. Eschweiler, Kathrin Brockmann, Velma T. E. Aho, Petri Auvinen, Walter Maetzler, Daniela Berg, and Filip Scheperjans

Subjects
Inflammation, Gut microbiota, Calprotectin, Metabolites, Cardiovascular disease, Neurological disease, Medicine, Science
Abstract

Abstract Fecal calprotectin is an established marker of gut inflammation in inflammatory bowel disease (IBD). Elevated levels of fecal calprotectin as well as gut microbial dysbiosis have also been observed in other clinical conditions. However, systemic and multi-omics alterations linked to elevated fecal calprotectin in older individuals remain unclear. This study comprehensively investigated the relationship between fecal calprotectin levels, gut microbiome composition, serum inflammation and targeted metabolomics markers, and relevant lifestyle and medical data in a large sample of older individuals (n = 735; mean age ± SD: 68.7 ± 6.3) from the TREND cohort study. Low (0–50 μg/g; n = 602), moderate (> 50–100 μg/g; n = 64) and high (> 100 μg/g; n = 62) fecal calprotectin groups were stratified. Several pro-inflammatory gut microbial genera were significantly increased and short-chain fatty acid producing genera were decreased in high vs. low calprotectin groups. In serum, IL-17C, CCL19 and the toxic metabolite indoxyl sulfate were increased in high vs. low fecal calprotectin groups. These changes were partially mediated by the gut microbiota. Moreover, the high fecal calprotectin group showed increased BMI and a higher disease prevalence of heart attack and obesity. Our findings contribute to the understanding of fecal calprotectin as a marker of gut dysbiosis and its broader systemic and clinical implications in older individuals.

Published
2024
Full Text
View/download PDF

26. Selective solvothermal extraction of tetrabromobisphenol A to promote plastic recycling

Author

Paavo Auvinen, Ville H. Nissinen, Erno Karjalainen, Kirsi Korpijärvi, Eerika Olkkonen, Krista Grönlund, Ilkka Rytöluoto, Lauri Kuutti, Mika Suvanto, Janne Jänis, and Jarkko J. Saarinen

Subjects
Plastic recycling, Mechanical recycling, Plastic characterization, Additive removal, Brominated flame retardant, Chemical engineering, TP155-156
Abstract

Removal of brominated flame retardants (BFRs) is imperative for increasing the recycling rate of hazardous plastic waste. In mechanical recycling, BFRs should be removed without damaging the surrounding polymer matrix, but economically viable processes under mild conditions are still rare. In this study, tetrabromobisphenol A (TBBPA) was solvothermally extracted from a compounded high-impact polystyrene (HIPS, 2500 ppm Br) model sample in an autoclave using mixtures of water, isopropanol (IPA) and NaOH as solvents. Removal of total elemental bromine was analyzed with X-ray fluorescence (XRF), whereas the removal of TBBPA and other plastic additives was evaluated with direct insertion probe mass spectrometry (DIP-MS). IPA/NaOH extraction provided efficient bromine removal, but it also extracted plenty of other plastic additives, including phenolic stabilizers Irganox 1076 and Cyasorb UV-2908. The inclusion of water in the IPA/NaOH mixture shifted the extraction selectivity towards TBBPA, leaving most of the other additives unaffected. Furthermore, H2O/IPA/NaOH was found to be equally effective in removing TBBPA from the samples with bromine concentrations an order of magnitude higher (25,000 ppm). Yet, larger plastic particle size hindered the extraction efficiency. 1H NMR and size exclusion chromatography confirmed that the HIPS matrix was left unaffected after all the studied extractions. Additionally, DIP-MS was found to be a valuable characterization method for assessing the removal and decomposition of various additives from solid plastic samples with minimal sample preparation. Overall, the results presented herein offer a target-selective extraction processes under relatively mild conditions for further advancing the mechanical recycling of plastics.

Published
2025
Full Text
View/download PDF

27. Importance of higher harmonics and $v_4$ puzzle in quark-gluon plasma tomography

Author

Zigic, Dusan, Auvinen, Jussi, Salom, Igor, Huovinen, Pasi, and Djordjevic, Magdalena

Subjects
High Energy Physics - Phenomenology
Abstract

QGP tomography aims to constrain the parameters characterizing the properties and evolution of Quark-Gluon Plasma (QGP) formed in heavy-ion collisions, by exploiting low and high-$p_\perp$ theory and data. Higher-order harmonics $v_n$ ($n>2$) are an important -- but seldom explored -- part of this approach. However, to take full advantage of them, several issues have to be addressed: i) consistency of different methods for calculating $v_n$, ii) importance of event-by-event fluctuations to high-$p_\perp$ $R_{AA}$ and $v_2$ predictions, iii) sensitivity of higher harmonics to the initial state of fluid-dynamical evolution. We obtain that i) several methods for calculating harmonics are compatible with each other, ii) event-by-event calculations are important in mid-central collisions, and iii) various initializations of the evolution of the medium lead to quantitatively and qualitatively different predictions, likely to be distinguished by future measurements. We also find that the present high-$p_\perp$ $v_4$ data cannot be reproduced using initial states for fluid-dynamical evolution given by state-of-the-art models. We call this discrepancy high-$p_\perp$ $v_4$ puzzle at the LHC.

Published
2022

29. Response to the letter to the editor regarding 'Mobile phone use and brain tumour risk − COSMOS, a prospective cohort study'

Author

Maria Feychting, Joachim Schüz, Mireille B. Toledano, Roel Vermeulen, Anssi Auvinen, Aslak Harbo Poulsen, Isabelle Deltour, Rachel B. Smith, Joel Heller, Hans Kromhout, Anke Huss, Christoffer Johansen, Giorgio Tettamanti, and Paul Elliott

Subjects
Cell phones, Radiofrequency Fields, Electromagnetic Fields, Non-Ionizing Radiation, Brain Neoplasms, Cohort study, Environmental sciences, GE1-350
Published
2024
Full Text
View/download PDF

30. Soins primaires pour tous: Le Canada peut s'inspirer de pays semblables ayant un niveau eleve de continuity relationnelle entre patientele et centres de soins primaires

Author

Shahaed, Heba, Glazier, Richard H., Anderson, Michael, Barbazza, Erica, Bos, Veronique L.L.C., Saunes, Ingrid S., Auvinen, Juha, Daneshvarfard, Maryam, and Kiran, Tara

Subjects
Health, World Health Organization, Organisation for Economic Co-operation and Development
Abstract

Les systemes de sante qui reposent sur un solide reseau de soins primaires obtiennent de meilleurs resultats, ont moins de depenses et sont plus equitables (1). Pourtant, meme au debut [...]

Published
2024
Full Text
View/download PDF

34. Physical activity, sedentary time and breast cancer risk: a Mendelian randomisation study

Author

Dixon-Suen, Suzanne C, Lewis, Sarah J, Martin, Richard M, English, Dallas R, Boyle, Terry, Giles, Graham G, Michailidou, Kyriaki, Bolla, Manjeet K, Wang, Qin, Dennis, Joe, Lush, Michael, Investigators, ABCTB, Ahearn, Thomas U, Ambrosone, Christine B, Andrulis, Irene L, Anton-Culver, Hoda, Arndt, Volker, Aronson, Kristan J, Augustinsson, Annelie, Auvinen, Päivi, Freeman, Laura E Beane, Becher, Heiko, Beckmann, Matthias W, Behrens, Sabine, Bermisheva, Marina, Blomqvist, Carl, Bogdanova, Natalia V, Bojesen, Stig E, Bonanni, Bernardo, Brenner, Hermann, Brüning, Thomas, Buys, Saundra S, Camp, Nicola J, Campa, Daniele, Canzian, Federico, Castelao, Jose E, Cessna, Melissa H, Chang-Claude, Jenny, Chanock, Stephen J, Clarke, Christine L, Conroy, Don M, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Daly, Mary B, Devilee, Peter, Dörk, Thilo, Dwek, Miriam, Eccles, Diana M, Eliassen, A Heather, Engel, Christoph, Eriksson, Mikael, Evans, D Gareth, Fasching, Peter A, Fletcher, Olivia, Flyger, Henrik, Fritschi, Lin, Gabrielson, Marike, Gago-Dominguez, Manuela, García-Closas, Montserrat, García-Sáenz, José A, Goldberg, Mark S, Guénel, Pascal, Gündert, Melanie, Hahnen, Eric, Haiman, Christopher A, Häberle, Lothar, Håkansson, Niclas, Hall, Per, Hamann, Ute, Hart, Steven N, Harvie, Michelle, Hillemanns, Peter, Hollestelle, Antoinette, Hooning, Maartje J, Hoppe, Reiner, Hopper, John, Howell, Anthony, Hunter, David J, Jakubowska, Anna, Janni, Wolfgang, John, Esther M, Jung, Audrey, Kaaks, Rudolf, Keeman, Renske, Kitahara, Cari M, Koutros, Stella, Kraft, Peter, Kristensen, Vessela N, Kubelka-Sabit, Katerina, Kurian, Allison W, Lacey, James V, Lambrechts, Diether, Le Marchand, Loic, Lindblom, Annika, Loibl, Sibylle, Lubiński, Jan, Mannermaa, Arto, and Manoochehri, Mehdi

Subjects
Aging, Genetics, Breast Cancer, Clinical Research, Cancer, Prevention, Female, Humans, Breast Neoplasms, Exercise, Mendelian Randomization Analysis, Polymorphism, Single Nucleotide, Risk Factors, Sedentary Behavior, Breast Cancer Association Consortium, Breast, Physical activity, Sedentary Behaviour, Engineering, Medical and Health Sciences, Education, Sport Sciences
Abstract

ObjectivesPhysical inactivity and sedentary behaviour are associated with higher breast cancer risk in observational studies, but ascribing causality is difficult. Mendelian randomisation (MR) assesses causality by simulating randomised trial groups using genotype. We assessed whether lifelong physical activity or sedentary time, assessed using genotype, may be causally associated with breast cancer risk overall, pre/post-menopause, and by case-groups defined by tumour characteristics.MethodsWe performed two-sample inverse-variance-weighted MR using individual-level Breast Cancer Association Consortium case-control data from 130 957 European-ancestry women (69 838 invasive cases), and published UK Biobank data (n=91 105-377 234). Genetic instruments were single nucleotide polymorphisms (SNPs) associated in UK Biobank with wrist-worn accelerometer-measured overall physical activity (nsnps=5) or sedentary time (nsnps=6), or accelerometer-measured (nsnps=1) or self-reported (nsnps=5) vigorous physical activity.ResultsGreater genetically-predicted overall activity was associated with lower breast cancer overall risk (OR=0.59; 95% confidence interval (CI) 0.42 to 0.83 per-standard deviation (SD;~8 milligravities acceleration)) and for most case-groups. Genetically-predicted vigorous activity was associated with lower risk of pre/perimenopausal breast cancer (OR=0.62; 95% CI 0.45 to 0.87,≥3 vs. 0 self-reported days/week), with consistent estimates for most case-groups. Greater genetically-predicted sedentary time was associated with higher hormone-receptor-negative tumour risk (OR=1.77; 95% CI 1.07 to 2.92 per-SD (~7% time spent sedentary)), with elevated estimates for most case-groups. Results were robust to sensitivity analyses examining pleiotropy (including weighted-median-MR, MR-Egger).ConclusionOur study provides strong evidence that greater overall physical activity, greater vigorous activity, and lower sedentary time are likely to reduce breast cancer risk. More widespread adoption of active lifestyles may reduce the burden from the most common cancer in women.

Published
2022

39. Improving cancer incidence evaluation through local government area matching: a study of the Edo-Benin cancer registry in Nigeria

Author

Gregrey A. Oko-oboh, Anssi Auvinen, Darlington E. Obaseki, and Janne Pitkäniemi

Subjects
Cancer registration, Local Government Area, Incidence, Edo-Benin, Nigeria, Public aspects of medicine, RA1-1270
Abstract

Abstract Background Cancer registries in Nigeria, as well as in other sub-Saharan African countries, face challenges in adhering to international cancer registration standards. We aimed to improve cancer incidence estimation by identifying under-reporting of new cancers through matching patient-reported local government areas (LGAs) in Edo state, Nigeria, to their respective catchment populations. Methods Information on cancers was obtained from records of hospitals, medical clinics, pathology laboratories, and death certificates according to IARC guidelines. We utilized normalized scores to establish consistency in the number of cancers by calendar time, and standardized incidence ratios (SIR) to assess the variation in cancer incidence across LGAs compared to Edo state average. Subsequently, we estimated sex- and site-specific annual incidence using the average number of cancers from 2016 to 2018 and the predicted mid-year population in three LGAs. Age-standardization was performed using the direct method with the World Standard Population of 1966. Results The number of incident cancers consistent between 2016–2018 in Egor, Oredo, and Uhunmwonde showed a significantly increased SIR. From 2016 to 2018 in these three LGAs, 1,045 new cancers were reported, with 453 (42.4%) in males and 592 (57.6%) in females. The average annual age-standardized incidence rate (ASR) was 50.6 (95% CI: 45.2 – 56.6) per 105. In men, the highest incidence was prostate cancer (ASR: 22.4 per 105), and in women, it was breast cancer (ASR: 16.5 per 105), and cervical cancer (ASR: 12.0 per 105). Microscopically verified cancers accounted for 98.1%. Conclusions We found lower age-standardized incidence rates than those reported earlier for the Edo state population. Collecting information on the local government areas of the cancers allows better matching with the respective target population. We recommend using LGA information to improve the evaluation of population-based cancer incidence in sub-Saharan countries.

Published
2024
Full Text
View/download PDF

40. Do LUTS Predict Mortality? An Analysis Using Random Forest Algorithms

Author

Åkerla J, Nevalainen J, Pesonen JS, Pöyhönen A, Koskimäki J, Häkkinen J, Tammela TL, and Auvinen A

Subjects
lower urinary tract symptoms, mortality, machine learning, cohort studies, Geriatrics, RC952-954.6
Abstract

Jonne Åkerla,1,2 Jaakko Nevalainen,3 Jori S Pesonen,4 Antti Pöyhönen,5 Juha Koskimäki,1 Jukka Häkkinen,6 Teuvo LJ Tammela,1,2 Anssi Auvinen3 1Department of Urology, Tampere University Hospital, Tampere, Finland; 2Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland; 3Faculty of Social Sciences, Tampere University, Tampere, Finland; 4Department of Surgery, Päijät-Häme Central Hospital, Lahti, Finland; 5Centre for Military Medicine, The Finnish Defence Forces, Riihimäki, Finland; 6Department of Urology, Länsi-Pohja healthcare District, Kemi, FinlandCorrespondence: Jonne Åkerla, Department of Urology, Tampere University Hospital, Teiskontie 35, Tampere, 33521, Finland, Tel +358 311 611, Fax +358 311 64256, Email jonne.akerla@gmail.comPurpose: To evaluate a random forest (RF) algorithm of lower urinary tract symptoms (LUTS) as a predictor of all-cause mortality in a population-based cohort.Materials and Methods: A population-based cohort of 3143 men born in 1924, 1934, and 1944 was evaluated using a mailed questionnaire including the Danish Prostatic Symptom Score (DAN-PSS-1) to assess LUTS as well as questions on medical conditions and behavioral and sociodemographic factors. Surveys were repeated in 1994, 1999, 2004, 2009 and 2015. The cohort was followed-up for vital status until the end of 2018. RF uses an ensemble of classification trees for prediction with a good flexibility and without overfitting. RF algorithms were developed to predict the five-year mortality using LUTS, demographic, medical, and behavioral factors alone and in combinations.Results: A total of 2663 men were included in the study, of whom 917 (34%) died during follow-up (median follow-up time 15.0 years). The LUTS-based RF algorithm showed an area under the curve (AUC) 0.60 (95% CI 0.52– 0.69) for five-year mortality. An expanded RF algorithm, including LUTS, medical history, and behavioral and sociodemographic factors, yielded an AUC 0.73 (0.65– 0.81), while an algorithm excluding LUTS yielded an AUC 0.71 (0.62– 0.78).Conclusion: An exploratory RF algorithm using LUTS can predict all-cause mortality with acceptable discrimination at the group level. In clinical practice, it is unlikely that LUTS will improve the accuracy to predict death if the patient’s background is well known.Keywords: lower urinary tract symptoms, mortality, machine learning, cohort studies

Published
2024

41. Blood DNA methylation profiling identifies cathepsin Z dysregulation in pulmonary arterial hypertension

Author

Anna Ulrich, Yukyee Wu, Harmen Draisma, John Wharton, Emilia M. Swietlik, Inês Cebola, Eleni Vasilaki, Zhanna Balkhiyarova, Marjo-Riitta Jarvelin, Juha Auvinen, Karl-Heinz Herzig, J. Gerry Coghlan, James Lordan, Colin Church, Luke S. Howard, Joanna Pepke-Zaba, Mark Toshner, Stephen J. Wort, David G. Kiely, Robin Condliffe, Allan Lawrie, Stefan Gräf, Nicholas W. Morrell, Martin R. Wilkins, Inga Prokopenko, and Christopher J. Rhodes

Subjects
Science
Abstract

Abstract Pulmonary arterial hypertension (PAH) is characterised by pulmonary vascular remodelling causing premature death from right heart failure. Established DNA variants influence PAH risk, but susceptibility from epigenetic changes is unknown. We addressed this through epigenome-wide association study (EWAS), testing 865,848 CpG sites for association with PAH in 429 individuals with PAH and 1226 controls. Three loci, at Cathepsin Z (CTSZ, cg04917472), Conserved oligomeric Golgi complex 6 (COG6, cg27396197), and Zinc Finger Protein 678 (ZNF678, cg03144189), reached epigenome-wide significance (p

Published
2024
Full Text
View/download PDF

43. High-resolution large-eddy simulation of indoor turbulence and its effect on airborne transmission of respiratory pathogens; model validation and infection probability analysis

Author

Auvinen, Mikko, Kuula, Joel, Grönholm, Tiia, Sühring, Matthias, and Hellsten, Antti

Subjects
Physics - Fluid Dynamics
Abstract

High-resolution large-eddy simulation (LES) is exploited to study indoor air turbulence and its effect on the dispersion of respiratory virus-laden aerosols and subsequent transmission risks. The methodology is applied to assess two dissimilar approaches to reduce transmission risks: a strategy to augment the indoor ventilation capacity with portable air purifiers and a strategy to utilize partitioning by exploiting portable space dividers. To substantiate the physical relevance of the LES model, a set of experimental aerosol concentration measurements are carried out, and their results are used for validating the LES model results. The obtained LES dispersion results are subjected to pathogen exposure and infection probability analysis. Wells-Riley probability model is extended to rely on realistic time- and space-dependent concentration fields to yield time- and space-dependent infection probability fields. The use of air purifiers leads to greater reduction in absolute risks compared to the analytical Wells-Riley model, which fails to predict the original risk level. However, the two models do agree on the relative risk reduction. The spatial partitioning strategy is demonstrated to have an undesirable effect when employed without other measures. The partitioning approach may yield positive results when employed together with targeted air purifier units. The LES-based results are examined in juxtaposition with the classical Wells-Riley model, which is shown to significantly underestimate the infection probability, highlighting the importance of employing accurate indoor turbulence modeling when evaluating different risk-reduction strategies., Comment: Preprint, 24 pages, 20 figures

Published
2021
Full Text
View/download PDF

44. Jet-temperature anisotropy revealed through high-$p_\perp$ data

Author

Stojku, Stefan, Auvinen, Jussi, Zivkovic, Lidija, Huovinen, Pasi, and Djordjevic, Magdalena

Subjects
Nuclear Theory, High Energy Physics - Phenomenology
Abstract

We explore to what extent, and how, high-$p_\perp$ data and predictions reflect the shape and anisotropy of the QCD medium formed in ultrarelativistic heavy-ion collisions. To this end, we use our recently developed DREENA-A framework, which can accommodate any temperature profile within the dynamical energy loss formalism. We show that the ratio of high-$p_\perp$ $v_2$ and $(1-R_{AA})$ predictions reaches a well-defined saturation value, which is directly proportional to the time-averaged anisotropy of the evolving QGP, as seen by the jets., Comment: 15 pages, 6 figures

Published
2021
Full Text
View/download PDF

45. DREENA-A framework as a QGP tomography tool

Author

Zigic, Dusan, Salom, Igor, Auvinen, Jussi, Huovinen, Pasi, and Djordjevic, Magdalena

Subjects
Nuclear Theory, High Energy Physics - Phenomenology
Abstract

We present a fully optimised framework DREENA-A based on a state-of-the-art energy loss model. The framework can include any, in principle arbitrary, temperature profile within the dynamical energy loss formalism. Thus, 'DREENA' stands for Dynamical Radiative and Elastic ENergy loss Approach, while 'A' stands for Adaptive. DREENA-A does not use fitting parameters within the energy loss model, allowing it to fully exploit differences in temperature profiles which are the only input in the framework. The framework applies to light and heavy flavor observables, different collision energies, and large and smaller systems. This, together with the ability to systematically compare data and predictions within the same formalism and parameter set, makes DREENA-A a unique multipurpose QGP tomography tool., Comment: 21 pages, 7 figures

Published
2021
Full Text
View/download PDF

46. General and abdominal adiposity and hypertension in eight world regions: a pooled analysis of 837 population-based studies with 7·5 million participants

Author

Zhou, Bin, Bennett, James E, Wickham, Aidan P, Singleton, Rosie K, Mishra, Anu, Carrillo-Larco, Rodrigo M, Ikeda, Nayu, Jain, Lakshya, Barradas-Pires, Ana, Heap, Rachel A, Lhoste, Victor PF, Sheffer, Kate E, Phelps, Nowell H, Rayner, Archie W, Gregg, Edward W, Woodward, Mark, Stevens, Gretchen A, Iurilli, Maria LC, Danaei, Goodarz, Di Cesare, Mariachiara, Aguilar-Salinas, Carlos A, Ahmad, Noor Ani, Bovet, Pascal, Chen, Zhengming, Damasceno, Albertino, Filippi, Sarah L, Janszky, Imre, Kengne, Andre P, Khang, Young-Ho, Khunti, Kamlesh, Laxmaiah, Avula, Lim, Lee-Ling, Lissner, Lauren, Margozzini, Paula, Mbanya, Jean Claude N, McGarvey, Stephen T, Shaw, Jonathan E, Söderberg, Stefan, Soto-Mota, Luis Adrián, Wang, Junyang, Zaccardi, Francesco, Abarca-Gómez, Leandra, Abbasi-Kangevari, Mohsen, Abdrakhmanova, Shynar, Abdul Ghaffar, Suhaila, Abdul Rahim, Hanan F, Abdurrahmonova, Zulfiya, Abu-Rmeileh, Niveen M, Acosta-Cazares, Benjamin, Adam, Ishag, Adamczyk, Marzena, Aekplakorn, Wichai, Agdeppa, Imelda A, Aghazadeh-Attari, Javad, Agyemang, Charles, Ahmad, Mohamad Hasnan, Ahmadi, Ali, Ahmadi, Naser, Ahmadi, Nastaran, Ahmed, Soheir H, Ahrens, Wolfgang, Aitmurzaeva, Gulmira, Ajlouni, Kamel, Al-Hazzaa, Hazzaa M, Al-Hinai, Halima, Al-Lawati, Jawad A, Al-Raddadi, Rajaa, Al Asfoor, Deena, Al Hourani, Huda M, Alarouj, Monira, AlBuhairan, Fadia, AlDhukair, Shahla, Ali, Mohamed M, Alieva, Anna V, Alkandari, Abdullah, Alkhatib, Buthaina M, Aly, Eman, Amarapurkar, Deepak N, Amiano Etxezarreta, Pilar, Amougou, Norbert, Andersen, Lars Bo, Anderssen, Sigmund A, Androutsos, Odysseas, Anjana, Ranjit Mohan, Ansari-Moghaddam, Alireza, Anufrieva, Elena, Aounallah-Skhiri, Hajer, Aris, Tahir, Arku, Raphael E, Arlappa, Nimmathota, Aryal, Krishna K, Assah, Felix K, Assembekov, Batyrbek, Assunção, Maria Cecília F, Auvinen, Juha, Avdičová, Mária, Azad, Kishwar, Azevedo, Ana, Azimi-Nezhad, Mohsen, Azizi, Fereidoun, Bacopoulou, Flora, Bahijri, Suhad, Bajramovic, Izet, Balakrishna, Nagalla, Bamoshmoosh, Mohamed, Banach, Maciej, Bandosz, Piotr, Banegas, José R, Baran, Rafał, Barbagallo, Carlo M, Barbosa Filho, Valter, Barceló, Alberto, Baretić, Maja, Barnoya, Joaquin, Barrera, Lena, Barros, Aluisio JD, Barros, Mauro Virgílio Gomes, Basit, Abdul, Bastos, Joao Luiz, Batieha, Anwar M, Batista, Aline P, Batista, Rosangela L, Battakova, Zhamilya, Baur, Louise A, Bayauli, Pascal M, Bel-Serrat, Silvia, Belavendra, Antonisamy, Ben Romdhane, Habiba, Benedek, Theodora, Benedics, Judith, Benet, Mikhail, Benitez Rolandi, Gilda Estela, Benzeval, Michaela, Bere, Elling, Berger, Nicolas, Bergh, Ingunn Holden, Berkinbayev, Salim, Bernabe-Ortiz, Antonio, Bettiol, Heloísa, Beybey, Augustin F, Bezerra, Jorge, Bhagyalaxmi, Aroor, Bhargava, Santosh K, Bika Lele, Elysée Claude, Bikbov, Mukharram M, Bista, Bihungum, Bjelica, Dusko J, Bjerregaard, Peter, Bjertness, Espen, Bjertness, Marius B, Björkelund, Cecilia, Bloch, Katia V, Blokstra, Anneke, Bo, Simona, Bobak, Martin, Boddy, Lynne M, Boehm, Bernhard O, Boggia, Jose G, Bogova, Elena, Bonaccio, Marialaura, Bonilla-Vargas, Alice, Borghs, Herman, Botomba, Steve, Bourne, Rupert, Boymatova, Khadichamo, Braeckman, Lutgart, Braithwaite, Tasanee, Brajkovich, Imperia, Branca, Francesco, Brenner, Hermann, Brewster, Lizzy M, Briceño, Yajaira, Brinduse, Lacramioara, Bringolf-Isler, Bettina, Brito, Miguel, Brug, Johannes, Bugge, Anna, Buntinx, Frank, Buoncristiano, Marta, Burns, Con, Cabrera de León, Antonio, Caixeta, Roberta B, Cama, Tilema, Can, Günay, Cândido, Ana Paula C, Cañete, Felicia, Capanzana, Mario V, Čapková, Naděžda, Capuano, Eduardo, Capuano, Rocco, Capuano, Vincenzo, Cardoso, Viviane C, Carlsson, Axel C, Casanueva, Felipe F, Casas, Maribel, Censi, Laura, Cervantes‐Loaiza, Marvin, Chamnan, Parinya, Chamukuttan, Snehalatha, Chan, Queenie, Chaturvedi, Nish, Chen, Fangfang, Chen, Huashuai, Chen, Long-Sheng, Cheng, Yiling J, Cheraghian, Bahman, Chetrit, Angela, Chikova-Iscener, Ekaterina, Chinapaw, Mai JM, Chinnock, Anne, Chiolero, Arnaud, Chirita-Emandi, Adela, Chirlaque, María-Dolores, Chong, Chean Lin, Christofaro, Diego G, Chudek, Jerzy, Cifkova, Renata, Cirillo, Massimo, Claessens, Frank, Clare, Philip, Cohen, Emmanuel, Confortin, Susana C, Coppinger, Tara C, Cortés, Lilia Yadira, Cosmin, Cojocaru R, Costanzo, Simona, Cowan, Melanie J, Cowell, Chris, Crampin, Amelia C, Cross, Amanda J, Crujeiras, Ana B, Cruz, Juan J, Cucu, Alexandra M, Cureau, Felipe V, Cuschieri, Sarah, D'Arrigo, Graziella, d'Orsi, Eleonora, da Silva-Ferreira, Haroldo, Dahm, Christina C, Dallongeville, Jean, Dankner, Rachel, Davletov, Kairat, de Assis Guedes de Vasconcelos, Francisco, de Assis, Maria Alice Altenburg, De Bacquer, Dirk, De Bacquer, Jaco, de Bont, Jeroen, De Curtis, Amalia, de Fragas Hinnig, Patrícia, de Gaetano, Giovanni, De Henauw, Stefaan, De Miguel-Etayo, Pilar, de Oliveira, Paula Duarte, de Paiva, Karina Mary, De Ridder, Karin, de Valois Correia Júnior, Marco Aurélio, Deepa, Mohan, DeGennaro, Vincent Jr, Demarest, Stefaan, Dennison, Elaine, Deschamps, Valérie, Dhimal, Meghnath, Díez Ripollés, María Pilar, Dika, Zivka, Djalalinia, Shirin, Dominguez, Liria, Donati, Maria Benedetta, Donfrancesco, Chiara, Dong, Guanghui, Donoso, Silvana P, Dorobantu, Maria, Dörr, Marcus, Dragano, Nico, Drygas, Wojciech, Du, Shufa, Duante, Charmaine A, Duboz, Priscilla, Duda, Rosemary B, Duleva, Vesselka L, Dushpanova, Anar, Dyussupova, Azhar, Dziankowska-Zaborszczyk, Elzbieta, Ebrahimi, Narges, Echeverría, Guadalupe, Eddie, Ricky, Eftekhar, Ebrahim, Efthymiou, Vasiliki, Egbagbe, Eruke E, Eghtesad, Sareh, Ekelund, Ulf, El-Khateeb, Mohammad, El Ati, Jalila, Elosua, Roberto, Enang, Ofem, Erasmus, Rajiv T, Erem, Cihangir, Ergor, Gul, Eriksen, Louise, Eriksson, Johan G, Escobedo-de la Peña, Jorge, Esmaeili, Ali, Evans, Roger G, Fakhradiyev, Ildar, Fakhretdinova, Albina A, Fall, Caroline H, Faramarzi, Elnaz, Farjam, Mojtaba, Farzadfar, Farshad, Farzi, Yosef, Fattahi, Mohammad Reza, Fawwad, Asher, Felix-Redondo, Francisco J, Ferguson, Trevor S, Fernandes, Romulo A, Fernández-Bergés, Daniel, Fernando, Desha R, Ferrante, Daniel, Ferrari, Gerson, Ferrari, Marika, Ferreccio, Catterina, Ferrer, Eldridge, Figueiró, Thamara Hubler, Fijalkowska, Anna, Fink, Günther, Fisberg, Mauro, Forsner, Maria, Fottrell, Edward F, Fouad, Heba M, Francis, Damian K, Frontera, Guillermo, Fuchs, Flavio D, Fuchs, Sandra C, Furdela, Viktoriya, Furusawa, Takuro, Gabriela, Stefan Adela, Gaciong, Zbigniew, Galán Cuesta, Manuel, Galbarczyk, Andrzej, Galcheva, Sonya V, Galfo, Myriam, Garcia-de-la-Hera, Manoli, Garcia, Pablo, Garnett, Sarah P, Gasull, Magda, Gazzinelli, Andrea, Gehring, Ulrike, Gerdts, Eva, Ghaderi, Ebrahim, Ghamari, Seyyed-Hadi, Ghanbari, Ali, Ghasemi, Erfan, Gheorghe-Fronea, Oana-Florentina, Ghimire, Anup, Gialluisi, Alessandro, Giampaoli, Simona, Gianfagna, Francesco, Gironella, Glen, Giwercman, Aleksander, Gkiouras, Konstantinos, Glushkova, Natalya, Godara, Ramesh, Godos, Justyna, Goldberg, Marcel, Gómez, Georgina, Gómez Gómez, Jesús Humberto, Gomez, Luis F, Gómez, Santiago F, Gomula, Aleksandra, Gonçalves Cordeiro da Silva, Bruna, Gonçalves, Helen, Gonçalves, Mauer, González-Alvarez, Ana D, Gonzalez-Chica, David A, González-Gil, Esther M, Gonzalez-Gross, Marcela, González-Rivas, Juan P, Gonzalez, Angel R, Gottrand, Frederic, Grafnetter, Dušan, Grajda, Aneta, Grammatikopoulou, Maria G, Grodzicki, Tomasz, Grøholt, Else Karin, Grøntved, Anders, Guajardo, Viviana, Guallar-Castillón, Pilar, Guerchet, Maëlenn, Guerrero, Ramiro, Guimaraes, Andre L, Gujral, Unjali P, Gulliford, Martin C, Gunter, Marc J, Gupta, Rajeev, Gureje, Oye, Gurinović, Mirjana A, Gurzkowska, Beata, Gutierrez, Laura, Gwee, Xinyi, Haghshenas, Rosa, Hakimi, Hamid, Halkjær, Jytte, Hambleton, Ian R, Hamzeh, Behrooz, Hanekom, Willem A, Hange, Dominique, Hanif, Abu AM, Hantunen, Sari, Hao, Jie, Hardman, Carla Menêses, Hardy, Louise, Hari Kumar, Rachakulla, Harooni, Javad, Hashemi-Shahri, Seyed Mohammad, Hassapidou, Maria, Hata, Jun, Haugsgjerd, Teresa, Heinen, Mirjam, Hendriks, Marleen Elisabeth, Henrique, Rafael dos Santos, Henriques, Ana, Hernandez Cadena, Leticia, Herrala, Sauli, Herrera-Cuenca, Marianella, Herrera, Victor M, Herter-Aeberli, Isabelle, Herzig, Karl-Heinz, Heshmat, Ramin, Hill, Allan G, Ho, Sai Yin, Holdsworth, Michelle, Homayounfar, Reza, Homs, Clara, Hoogendijk, Emiel O, Horimoto, Andrea RVR, Hormiga, Claudia M, Horta, Bernardo L, Houti, Leila, Howitt, Christina, Htay, Thein Thein, Htet, Aung Soe, Htike, Maung Maung Than, Huerta, José María, Huhtaniemi, Ilpo Tapani, Huiart, Laetitia, Huidumac Petrescu, Constanta, Huisman, Martijn, Husseini, Abdullatif, Huybrechts, Inge, Hwalla, Nahla, Iacoviello, Licia, Iakupova, Ellina M, Iannone, Anna G, Igland, Jannicke, Ijoma, Chinwuba, Iotova, Violeta, Irazola, Vilma E, Ishida, Takafumi, Isiguzo, Godsent C, Islam, Muhammad, Islam, Sheikh Mohammed Shariful, Islek, Duygu, Ittermann, Till, Ivanova-Pandourska, Ivaila Y, Iwasaki, Masanori, Jääskeläinen, Tuija, Jackson, Rod T, Jaddou, Hashem Y, Jadoul, Michel, Jafar, Tazeen, Jan, Nataša, Janus, Edward, Jarani, Juel, Jarnig, Gerald, Jarvelin, Marjo-Riitta, Jasienska, Grazyna, Jelaković, Ana, Jelaković, Bojan, Jha, Anjani Kumar, Jimenez, Ramon O, Jöckel, Karl-Heinz, Joffres, Michel, Jokelainen, Jari J, Jonas, Jost B, Joshi, Pradeep, Joshi, Rohina, Josipović, Josipa, Joukar, Farahnaz, Jóźwiak, Jacek J, Juolevi, Anne, Juresa, Vesna, Jureša, Vesna, Kaaks, Rudolf, Kaducu, Felix O, Kadvan, Agnes L, Kafatos, Anthony, Kajantie, Eero O, Kakutia, Natia, Kállayová, Daniela, Kalmatayeva, Zhanna, Kalter-Leibovici, Ofra, Kannan, Srinivasan, Kapantais, Efthymios, Karaglani, Eva, Karakosta, Argyro, Karki, Khem B, Kassi Anicet, Adoubi, Katibeh, Marzieh, Katulanda, Prasad, Katzmarzyk, Peter T, Kauhanen, Jussi, Kazakbaeva, Gyulli M, Kaze, François F, Ke, Calvin, Keinänen-Kiukaanniemi, Sirkka, Kelishadi, Roya, Kelleher, Cecily, Kemper, Han CG, Keramati, Maryam, Kersting, Mathilde, Khader, Yousef Saleh, Khaledifar, Arsalan, Khalili, Davood, Kheiri, Bahareh, Kheradmand, Motahareh, Khosravi, Alireza, Kiechl-Kohlendorfer, Ursula, Kiechl, Sophia J, Kiechl, Stefan, Kim, Hyeon Chang, Klakk, Heidi, Klanarong, Suntara, Klanova, Jana, Klimek, Magdalena, Knoflach, Michael, Kobel, Susanne, Koirala, Bhawesh, Kolle, Elin, Kolsteren, Patrick, König, Jürgen, Korpelainen, Raija, Korrovits, Paul, Korzycka, Magdalena, Kos, Jelena, Koskinen, Seppo, Koussoh Simone, Malik, Kovács, Éva, Kovalskys, Irina, Kowlessur, Sudhir, Koziel, Slawomir, Kratenova, Jana, Kratzer, Wolfgang, Kriemler, Susi, Kristensen, Peter Lund, Krizan, Helena, Kroker-Lobos, Maria F, Krokstad, Steinar, Kruger, Herculina S, Kruger, Ruan, Kryst, Łukasz, Kubinova, Ruzena, Kujala, Urho M, Kujundzic, Enisa, Kulaga, Zbigniew, Kulimbet, Mukhtar, Kumari, Meena, Kunešová, Marie, Kurjata, Pawel, Kyobutungi, Catherine, La, Quang Ngoc, Labadarios, Demetre, Lachat, Carl, Lai, Daphne, Laid, Youcef, Lall, Lachmie, Landaeta Jimenez, Maritza, Landais, Edwige, Lankila, Tiina, Lanska, Vera, Lappas, Georg, Larijani, Bagher, Lateva, Mina P, Latt, Tint Swe, Laurenzi, Martino, Lazo-Porras, Maria, Le Coroller, Gwenaëlle, Le Nguyen Bao, Khanh, Lehtimäki, Terho, Lemogoum, Daniel, Leong, Elvynna, Leszczak, Justyna, Leung, Gabriel M, Li, Yanping, Liivak, Merike, Lim, Charlie, Lim, Wei-Yen, Lima-Costa, M Fernanda, Lin, Hsien-Ho, Lind, Lars, Litwin, Mieczyslaw, Liu, Liping, Liu, Xiaotian, Longo Abril, Guadalupe, Lopes, Oscar, Lopez-Garcia, Esther, López-Gil, José Francisco, Lopez, Tania, Lozano, José Eugenio, Lukrafka, Janice L, Luksiene, Dalia, Lundqvist, Annamari, Lunet, Nuno, Lunogelo, Charles, Lustigová, Michala, M'Buyamba-Kabangu, Jean-René, Machado-Coelho, George LL, Machado-Rodrigues, Aristides M, Macia, Enguerran, Madar, Ahmed A, Maestre, Gladys E, Maggi, Stefania, Magliano, Dianna J, Magnacca, Sara, Magriplis, Emmanuella, Mahasampath, Gowri, Maire, Bernard, Makdisse, Marcia, Malekpour, Mohammad-Reza, Malekzadeh, Fatemeh, Malekzadeh, Reza, Mallikharjuna Rao, Kodavanti, Malyutina, Sofia, Maniego, Lynell V, Manios, Yannis, Mann, Jim I, Mansour-Ghanaei, Fariborz, Manzato, Enzo, Mapatano, Mala Ali, Maria-Magdalena, Rosu, Mariño, Joany, Markaki, Anastasia, Marques, Larissa Pruner, Marrugat, Jaume, Martorell, Reynaldo, Maruszczak, Katharina, Masala, Giovanna, Mascarenhas, Luis P, Masimango Imani, Mannix, Masinaei, Masoud, Mathiesen, Ellisiv B, Matijasevich, Alicia, Matłosz, Piotr, Matsha, Tandi E, Matsudo, Victor, Matteo, Giletta, Maulik, Pallab K, Mavrogianni, Christina, Mc Donald Posso, Anselmo J, McFarlane, Shelly R, McLean, Rachael M, Mediene Benchekor, Sounnia, Mehlig, Kirsten, Mehrparvar, Amir Houshang, Melgarejo, Jesus D, Méndez, Fabián, Mendivil, Carlos O, Mendoza Montano, Carlos, Menezes, Ana Maria B, Mensink, Gert BM, Mereke, Alibek, Meshram, Indrapal I, Meto, Diane T, Meyer, Haakon E, Mi, Jie, Miłkowska, Karolina, Miller, Jody C, Milushkina, Olga, Minderico, Cláudia S, Mini, GK, Miquel, Juan Francisco, Miranda, J Jaime, Mirjalili, Mohammad Reza, Mišigoj-Duraković, Marjeta, Mistretta, Antonio, Mocanu, Veronica, Modesti, Pietro A, Moghaddam, Sahar Saeedi, Mohammad, Kazem, Mohammadi, Mohammad Reza, Mohammadi, Zahra, Mohammadifard, Noushin, Mohammadpourhodki, Reza, Mohan, Viswanathan, Mohd Yusoff, Muhammad Fadhli, Mohebbi, Iraj, Møller, Niels C, Molnár, Dénes, Momenan, Amirabbas, Mondo, Charles K, Monroy-Valle, Michele M, Montenegro Mendoza, Roger A, Monterrubio-Flores, Eric, Monyeki, Kotsedi Daniel K, Moon, Jin Soo, Moosazadeh, Mahmood, Moradpour, Farhad, Moreira, Leila B, Morejon, Alain, Moreno, Luis A, Morgan, Karen, Moschonis, George, Moslem, Alireza, Mosquera, Mildrey, Mossakowska, Malgorzata, Mostafa, Aya, Mostafavi, Seyed-Ali, Motlagh, Mohammad Esmaeel, Motta, Jorge, Moura-dos-Santos, Marcos André, Mridha, Malay K, Msyamboza, Kelias P, Mu, Thet Thet, Muca, Florian, Mugoša, Boban, Munroe, Patricia B, Mursu, Jaakko, Musa, Kamarul Imran, Musić Milanović, Sanja, Musil, Vera, Musinguzi, Geofrey, Mustafa, Norlaila, Muyer, Muel Telo Marie-Claire, Nabipour, Iraj, Naidu, Balkish M, Najafi, Farid, Nalecz, Hanna, Námešná, Jana, Narayan, KM Venkat, Naseri, Take, Nathalie, Michels, Neelapaichit, Nareemarn, Nejatizadeh, Azim, Nenko, Ilona, Nervi, Flavio, Neuhauser, Hannelore K, Ng, Tze Pin, Nguyen, Chung T, Nguyen, Quang V, Nguyen, Quang Ngoc, Ni, Michael Y, Nie, Peng, Nieto-Martínez, Ramfis E, Niiranen, Teemu J, Ninomiya, Toshiharu, Nishi, Nobuo, Nishtar, Sania, Noale, Marianna, Noboa, Oscar A, Nogueira, Helena, Norton, Kevin I, Noto, Davide, Nowak-Szczepanska, Natalia, Nsour, Mohannad Al, Nuhoğlu, Irfan, Nurk, Eha, Nuwaha, Fred, Nyirenda, Moffat, O'Neill, Terence W, Ochimana, Caleb, Ochoa-Avilés, Angélica M, Oda, Eiji, Odili, Augustine N, Oh, Kyungwon, Ohtsuka, Ryutaro, Oldenburg, Brian, Olié, Valérie, Omar, Mohd Azahadi, Omar, Saeed M, Onat, Altan, Ong, Sok King, Onland-Moret, N Charlotte, Ono, Lariane M, Onodugo, Obinna, Ordunez, Pedro, Ornelas, Rui, Ortiz, Ana P, Ortiz, Pedro J, Osmond, Clive, Ostojic, Sergej M, Ostovar, Afshin, Otero, Johanna A, Ottendahl, Charlotte B, Otu, Akaninyene, Overvad, Kim, Owusu-Dabo, Ellis, Padez, Cristina P, Pagkalos, Ioannis, Pajula, Natalja, Palloni, Alberto, Palmieri, Luigi, Pan, Wen-Harn, Panza, Francesco, Paoli, Mariela, Papadopoulou, Sousana K, Pareja, Rossina G, Park, Soon-Woo, Park, Suyeon, Parnell, Winsome R, Parsaeian, Mahboubeh, Pascanu, Ionela M, Pasquet, Patrick, Patel, Nikhil D, Pavlyshyn, Halyna, Pechlaner, Raimund, Pećin, Ivan, Pedro, João M, Peixoto, Sergio Viana, Peltonen, Markku, Pereira, Alexandre C, Peres, Karen GDA, Peres, Marco A, Perez-Londoño, Agustín, Pérez, Cynthia M, Peterkova, Valentina, Petrovna Kovtun, Olga, Peykari, Niloofar, Pham, Son Thai, Pichardo, Rafael N, Pierre-Marie, Preux, Pikhart, Hynek, Pilav, Aida, Piler, Pavel, Piwonska, Aleksandra, Pizarro, Andreia N, Plata, Silvia, Pop, Raluca M, Popkin, Barry M, Popovic, Stevo R, Porta, Miquel, Poudyal, Anil, Pourfarzi, Farhad, Pourshams, Akram, Poustchi, Hossein, Pradeepa, Rajendra, Price, Alison J, Prista, Antonio, Providencia, Rui, Puder, Jardena J, Pudule, Iveta, Puhakka, Soile, Puiu, Maria, Punab, Margus, Qorbani, Mostafa, Quialheiro, Anna, Quintana, Hedley K, Quiroga-Padilla, Pedro J, Quoc Bao, Tran, Rach, Stefan, Rahimikazerooni, Salar, Rahman, Mahmudur, Raitakari, Olli, Rakhmatulloev, Sherali, Rakovac, Ivo, Ramachandran, Ambady, Ramadan, Otim PC, Ramirez-Zea, Manuel, Ramos, Rafel, Rampal, Lekhraj, Rampal, Sanjay, Ramsay, Sheena E, Rangel Junior, João FLB, Rangel Reina, Daniel A, Rangelova, Lalka S, Rarra, Vayia, Rashidi, Mohammad-Mahdi, Rech, Cassiano Ricardo, Redon, Josep, Regecová, Valéria, Renner, Jane DP, Repasy, Judit A, Reuter, Cézane P, Revilla, Luis, Reynolds, Andrew, Rezaei, Negar, Rezaianzadeh, Abbas, Riboli, Elio, Rigo, Fernando, Rigotti, Attilio, Riley, Leanne M, Rinke de Wit, Tobias F, Risérus, Ulf, Ritti-Dias, Raphael M, Roa, Reina G, Roccaldo, Romana, Rodríguez-Artalejo, Fernando, Rodriguez-Perez, María del Cristo, Rodríguez-Villamizar, Laura A, Rodríguez, Andrea Y, Roggenbuck, Ulla, Rohloff, Peter, Rojas-Martinez, Rosalba, Romeo, Elisabetta L, Rosario, Rafaela V, Rosengren, Annika, Rouse, Ian, Rubinstein, Adolfo, Ruiz-Betancourt, Blanca Sandra, Ruiz-Castell, Maria, Ruiz Moreno, Emma, Rusakova, Iuliia A, Rusek, Wojciech, Rust, Petra, Rutkowski, Marcin, Saamel, Marge, Sabbaghi, Hamideh, Sachdev, Harshpal S, Sadjadi, Alireza, Safarpour, Ali Reza, Safi, Sare, Saghi, Mohammad Hossien, Saidi, Olfa, Saieva, Calogero, Sakata, Satoko, Saki, Nader, Šalaj, Sanja, Salazar Martinez, Eduardo, Salkhanova, Akkumis, Salonen, Jukka T, Samoutian, Margarita, Sánchez-Abanto, Jose, Sánchez Rodríguez, Inés, Santos, Diana A, Santos, Ina S, Santos, Maria Paula, Santos, Tamara R, Saramies, Jouko L, Sardinha, Luis B, Sarganas, Giselle, Sarrafzadegan, Nizal, Saum, Kai-Uwe, Savin, Stefan, Sbaraini, Mariana, Scazufca, Marcia, Schaan, Beatriz D, Schienkiewitz, Anja, Schindler, Karin, Schipf, Sabine, Schmidt, Amand Floriaan, Schmidt, Börge, Schmidt, Carsten O, Schöttker, Ben, Schramm, Sara, Schramm, Stine, Schröder, Helmut, Schultsz, Constance, Schutte, Aletta E, Sebert, Sylvain, Sedaghattalab, Moslem, Sein, Aye Aye, Sen, Abhijit, Sepanlou, Sadaf G, Sequera, Guillermo, Ševčíková, Ľudmila, Sewpaul, Ronel, Shamah-Levy, Teresa, Shamshirgaran, Seyed Morteza, Sharafkhah, Maryam, Sharma, Sanjib K, Sharman, Almaz, Shayanrad, Amaneh, Shayesteh, Ali Akbar, Shengelia, Lela, Shibuya, Kenji, Shimizu-Furusawa, Hana, Shiri, Rahman, Shoranov, Marat, Shrestha, Namuna, Si-Ramlee, Khairil, Sibai, Abla M, Sidossis, Labros S, Silva, Antonio M, Silva, Caroline Ramos de Moura, Silva, Diego Augusto Santos, Silva, Kelly Samara, Sim, Xueling, Simon, Mary, Sjöström, Michael, Skoblina, Natalia A, Slowikowska-Hilczer, Jolanta, Slusarczyk, Przemysław, Smeeth, Liam, Smith, Lee, Soares, Fernanda Cunha, Sobek, Grzegorz, Sobngwi, Eugène, Sodemann, Morten, Soemantri, Agustinus, Solfrizzi, Vincenzo, Somi, Mohammad Hossein, Sørgjerd, Elin P, Sorić, Maroje, Soto-Rojas, Victoria E, Soumaré, Aïcha, Sousa-Poza, Alfonso, Spiroski, Igor, Staessen, Jan A, Stang, Andreas, Steene-Johannessen, Jostein, Stehle, Peter, Stein, Aryeh D, Stergiou, George S, Stokwiszewski, Jakub, Stoyanova, Ekaterina, Stratton, Gareth, Stronks, Karien, Sturua, Lela, Suarez-Ortegón, Milton F, Suebsamran, Phalakorn, Sulo, Gerhard, Sundström, Johan, Suriyawongpaisal, Paibul, Swinburn, Boyd A, Sylva, René Charles, Szponar, Lucjan, Tai, E Shyong, Tambalis, Konstantinos D, Tamosiunas, Abdonas, Tanabayev, Baimakhan, Tanrygulyyeva, Maya, Tarawneh, Mohammed Rasoul, Tarp, Jakob, Tarqui-Mamani, Carolina B, Taxová Braunerová, Radka, Te Velde, Saskia, Tebar, William R, Tell, Grethe S, Tello, Tania, Thankappan, KR, Theodoridis, Xenophon, Thirunavukkarasu, Sathish, Thomas, Nihal, Thrift, Amanda G, Tichá, Ľubica, Timmermans, Erik J, Tjandrarini, Dwi Hapsari, Tjonneland, Anne, Tolstrup, Janne S, Topbas, Murat, Torres-Collado, Laura, Touloumi, Giota, Traissac, Pierre, Triantafyllou, Areti, Trivedi, Atul, Tshepo, Lechaba, Tsintavis, Panagiotis, Tuitele, John, Tuliakova, Azaliia M, Tulloch-Reid, Marshall K, Tullu, Fikru, Tuomainen, Tomi-Pekka, Turley, Maria L, Tzala, Evangelia, Tzotzas, Themistoklis, Tzourio, Christophe, Ueda, Peter, Ugel, Eunice, Ukoli, Flora AM, Usupova, Zhamyila, Uusitalo, Hannu MT, Uysal, Nalan, Valdivia, Gonzalo, Valvi, Damaskini, van Dam, Rob M, van den Born, Bert-Jan, Van der Heyden, Johan, van der Schouw, Yvonne T, Van Lippevelde, Wendy, Van Minh, Hoang, Van Schoor, Natasja M, van Valkengoed, Irene GM, Vanderschueren, Dirk, Vanuzzo, Diego, Varela-Moreiras, Gregorio, Vargas, Luz Nayibe, Vasan, Senthil K, Vasques, Daniel G, Vega, Tomas, Velasquez-Melendez, Gustavo, Velika, Biruta, Verdot, Charlotte, Verloigne, Maïté, Veronesi, Giovanni, Verschuren, WM Monique, Verstraeten, Roosmarijn, Viet, Lucie, Vik, Frøydis N, Vilar, Monica, Villalpando, Salvador, Vioque, Jesus, Virtanen, Jyrki K, Visser, Marjolein, Viswanathan, Bharathi, Vladulescu, Mihaela, Völzke, Henry, Voutilainen, Ari, Vrijheid, Martine, Wade, Alisha N, Wan Bebakar, Wan Mohamad, Wan Mohamud, Wan Nazaimoon, Wanderley Júnior, Rildo de Souza, Wang, Chongjian, Wang, Huijun, Wang, Ningli, Wang, Qian, Wang, Xiangjun, Wang, Ya Xing, Wang, Ying-Wei, Wannamethee, S Goya, Wareham, Nicholas, Wartha, Olivia, Weber, Adelheid, Webster-Kerr, Karen, Wedderkopp, Niels, Weghuber, Daniel, Wei, Wenbin, Westbury, Leo, Whincup, Peter H, Wickramasinghe, Kremlin, Widhalm, Kurt, Widyahening, Indah S, Więcek, Andrzej, Wilks, Rainford J, Willeit, Karin, Willeit, Peter, Williams, Julianne, Wilsgaard, Tom, Wojtyniak, Bogdan, Wong-McClure, Roy A, Wong, Andrew, Wong, Emily B, Wu, Frederick C, Wyszyńska, Justyna, Xu, Haiquan, Xu, Liang, Yaacob, Nor Azwany, Yan, Li, Yan, Weili, Yang, Yang, Yépez García, Martha, Yoosefi, Moein, Yoshihara, Akihiro, Younger-Coleman, Novie O, Yu, Yu-Ling, Yu, Yunjiang, Yusoff, Ahmad Faudzi, Zafiropulos, Vassilis, Zainuddin, Ahmad A, Zamani, Farhad, Zambon, Sabina, Zampelas, Antonis, Zapata, Maria Elisa, Zaw, Ko Ko, Zdrojewski, Tomasz, Żegleń, Magdalena, Zejglicova, Kristyna, Zeljkovic Vrkic, Tajana, Zhang, Bing, Zhang, Zhen-Yu, Zhecheva, Yanitsa V, Zholdin, Bekbolat, Zimmet, Paul, Zins, Marie, Zuñiga Cisneros, Julio, Zuziak, Monika, and Ezzati, Majid

Published
2024
Full Text
View/download PDF

48. TWINGEN: protocol for an observational clinical biobank recall and biomarker cohort study to identify Finnish individuals with high risk of Alzheimer’s disease

Author

Tommi Vasankari, Henri Vähä-Ypyä, Oskari Heikinheimo, Athena Matakidou, Jaakko Kaprio, Eero Vuoksimaa, Ying Wu, Kai Kaarniranta, Peeter Karihtala, Wei Zhou, Caroline Fox, Sanna-Kaisa Herukka, Sarah Smith, Apinya Lertratanakul, Katri Kaukinen, Johannes Kettunen, Minna Männikkö, Eeva Sliz, Markus Perola, Veikko Salomaa, Hilkka Soininen, Ilkka Kalliala, Mika Kähönen, Hao Chen, Andrey Loboda, Laure Morin-Papunen, Terhi Piltonen, Anders Mälarstig, Jason Miller, Jussi Hernesniemi, Henrike Heyne, Sirkku Peltonen, Daniel Gordin, Masahiro Kanai, Benjamin Challis, Juha Sinisalo, David Rice, Fredrik Åberg, Aarno Palotie, Samuli Ripatti, Oili Kaipiainen-Seppänen, Aki Havulinna, Satu Strausz, Tuomo Kiiskinen, Sanni Ruotsalainen, Jukka Koskela, Tuula Palotie, Mark Daly, Howard Jacob, Heiko Runz, Sally John, Robert Plenge, Mark McCarthy, Julie Hunkapiller, Dawn Waterworth, Petri Virolainen, Terhi Kilpi, Jukka Partanen, Anne Pitkäranta, Veli-Matti Kosma, Outi Tuovila, Raimo Pakkanen, Shameek Biswas, Xinli Hu, Johanna Schleutker, Mikko Arvas, Olli Carpen, Reetta Hinttala, Arto Mannermaa, Valtteri Julkunen, Anne Remes, Reetta Kälviäinen, Mikko Hiltunen, Jukka Peltola, Pentti Tienari, Juha Rinne, Adam Ziemann, Jeffrey Waring, Nizar Smaoui, Anne Lehtonen, Susan Eaton, Sanni Lahdenperä, Natalie Bowers, Edmond Teng, Fanli Xu, David Pulford, Martti Färkkilä, Sampsa Pikkarainen, Airi Jussila, Timo Blomster, Mikko Kiviniemi, Markku Voutilainen, Fedik Rahimov, Joseph Maranville, Tim Lu, Kirsi Kalpala, Melissa Miller, Linda McCarthy, Kari Eklund, Antti Palomäki, Pia Isomäki, Laura Pirilä, Johanna Huhtakangas, Marla Hochfeld, Nan Bing, Jorge Esparza Gordillo, Nina Mars, Tarja Laitinen, Margit Pelkonen, Paula Kauppi, Hannu Kankaanranta, Terttu Harju, Hubert Chen, Teemu Niiranen, Kaj Metsärinne, Marja-Riitta Taskinen, Tiinamaija Tuomi, Jari Laukkanen, Audrey Chu, Jaakko Parkkinen, Heikki Joensuu, Tuomo Meretoja, Lauri Aaltonen, Annika Auranen, Päivi Auvinen, Klaus Elenius, Relja Popovic, Bridget Riley-Gillis, Jennifer Schutzman, Heli Lehtonen, Stefan McDonough, Diptee Kulkarni, Terhi Ollila, Hannu Uusitalo, Erich Strauss, Kaisa Tasanen, Laura Huilaja, Katariina Hannula-Jouppi, Teea Salmi, Leena Koulu, David Choy, Anu Jalanko, Risto Kajanne, Mari Kaunisto, Chia-Yen Chen, Robert Yang, Kirsi Auro, Clement Chatelain, Mitja Kurki, Juha Karjalainen, Kimmo Palin, Priit Palta, Susanna Lemmelä, Manuel Rivas, Arto Lehisto, Andrea Ganna, Vincent Llorens, Kati Kristiansson, Kati Hyvärinen, Jarmo Ritari, Katri Pylkäs, Minna Karjalainen, Tuomo Mantere, Eeva Kangasniemi, Sami Heikkinen, Eija Laakkonen, Anu Loukola, Päivi Laiho, Tuuli Sistonen, Essi Kaiharju, Markku Laukkanen, Elina Järvensivu, Sini Lähteenmäki, Lotta Männikkö, Regis Wong, Hannele Mattsson, Tero Hiekkalinna, Kati Donner, Kalle Pärn, Elina Kilpeläinen, Hannele Laivuori, Harri Siirtola, Sirpa Soini, Teijo Kuopio, Ioanna Tachmazidou, Katja Kivinen, Pekka Nieminen, Adam Platt, Sanna Toppila-Salmi, Antti Mäkitie, Elmo Saarentaus, Kristiina Aittomäki, Elisabeth Widen, Marja Vääräsmäki, Erkki Isometsä, Laura Addis, Mika Helminen, Taneli Raivio, Mart Kals, Majd Mouded, Hanna Ollila, Vuokko Anttonen, Tarja Kokkola, Robert Graham, Amanda Elliott, Ali Abbasi, Bridget Riley-Gills, Dirk Paul, Katherine Klinger, Deepak Raipal, Antti Hakanen, Raisa Serpi, Johanna Mäkelä, Mengzhen Liu, Neha Raghavan, Adriana Huertas-Vazquez, Nicole Renaud, Roosa Kallionpää, John Eicher, Minna Raivio, Juulia Partanen, Riitta Lahesmaa, Glenda Lassi, Joanna Betts, Rajashree Mishra, Felix Vaura, Joel Rämö, Mary Pat Reeve, Johanna Mattson, Sauli Vuoti, Esa Pitkänen, Joni A Turunen, Stephanie Loomis, Pirkko Pussinen, Aino Salminen, Tuula Salo, Ulla Palotie, Maria Siponen, Liisa Suominen, Päivi Mäntylä, Ulvi Gursoy, Kirsi Sipilä, Venla Kurra, Laura Kotaniemi-Talonen, Outi Uimari, Taru Tukiainen, Niko Välimäki, Janet Kumar, Juha Mehtonen, Shabbeer Hassan, Pietro Della Briotta Parolo, Mutaamba Maasha, Javier Garcia-Tabuenca, Jiwoo Lee, Kristin Tsuo, Nina Pitkänen, Eero Punkka, Huei-Yi Shen, Mervi Aavikko, L. Elisa Lahtela, Timo P. Sipilä, Awaisa Ghazal, Sami Koskelainen, Teemu Paajanen, Shuang Luo, Javier Gracia-Tabuenca, Tiina Luukkaala, Iida Vähätalo, Marco Hautalahti, Tom Southerington, Paula Iso-Markku, Jaana Suvisaari, Zhihao Ding, Qingqin S Li, Amy Hart, Perttu Terho, Alessandro Porello, Anastasia Kytölä, Antti Aarnisalo, Aoxing Liu, Argyro Bizaki-Vallaskangas, Auli Toivola, Debby Ngo, Dermot Reilly, Ekaterina Khramtsova, Elisa Rahikkala, Eric Green, Eveliina Salminen, Fabiana Farias, George Okafo, Heidi Silven, Heli Salminen-Mankonen, Henna Palin, Iiris Hovatta, Jaakko Tyrmi, Jae-Hoon Sul, Jenni Aittokallio, Jyrki Pitkänen, Karen He, Katriina Aalto-Setälä, Maarit Niinimäki, Malla-Maria Linna, Marc Jung, Margaret G. Ehm, Marianna Niemi, Meijian Guan, Mike Mendelson, Minna Brunfeldt, Natalia Pujol, Nathan Lawless, Oluwaseun Alexander Dada, Rigbe Weldatsadik, Riikka Arffman, Rion Pendergrass, Sahar Mozaffari, Samuel Lessard, Sanna Siltanen, Shanmukha Sampath Padmanabhuni, Simonne Longerich, Susanna Savukoski, Thomas Damm Als, Timo Hiltunen, Tomi P. Mäkelä, Triin Laisk, Tytti Willberg, Varpu Jokimaa, Aija Kyttälä, Toni T Saari, Aino Aaltonen, Sari Aaltonen, Sari Kärkkäinen, Hilkka Liedes, Miina Ollikainen, Teemu Palviainen, Ilona Ruotsalainen, Mia Urjansson, Markus M Forsberg, Jaakko Lähteenmäki, Pia Nyberg, Jani Tikkanen, Mari E. Niemi, and Rodos Rodosthenous

Subjects
Medicine
Abstract

Introduction A better understanding of the earliest stages of Alzheimer’s disease (AD) could expedite the development or administration of treatments. Large population biobanks hold the promise to identify individuals at an elevated risk of AD and related dementias based on health registry information. Here, we establish the protocol for an observational clinical recall and biomarker study called TWINGEN with the aim to identify individuals at high risk of AD by assessing cognition, health and AD-related biomarkers. Suitable candidates were identified and invited to participate in the new study among THL Biobank donors according to TWINGEN study criteria.Methods and analysis A multi-centre study (n=800) to obtain blood-based biomarkers, telephone-administered and web-based memory and cognitive parameters, questionnaire information on lifestyle, health and psychological factors, and accelerometer data for measures of physical activity, sedentary behaviour and sleep. A subcohort is being asked to participate in an in-person neuropsychological assessment (n=200) and wear an Oura ring (n=50). All participants in the TWINGEN study have genome-wide genotyping data and up to 48 years of follow-up data from the population-based older Finnish Twin Cohort (FTC) study of the University of Helsinki. The data collected in TWINGEN will be returned to THL Biobank from where it can later be requested for other biobank studies such as FinnGen that supported TWINGEN.Ethics and dissemination This recall study consists of FTC/THL Biobank/FinnGen participants whose data were acquired in accordance with the Finnish Biobank Act. The recruitment protocols followed the biobank protocols approved by Finnish Medicines Agency. The TWINGEN study plan was approved by the Ethics Committee of Hospital District of Helsinki and Uusimaa (number 16831/2022). THL Biobank approved the research plan with the permission no: THLBB2022_83.

Published
2024
Full Text
View/download PDF

49. Comparison of outcomes of different biopsy schedules among men on active surveillance for prostate cancer: An analysis of the G.A.P.3 global consortium database

Author

Beckmann, Kerri R, Bangma, Chris H, Helleman, Jozien, Bjartell, Anders, Carroll, Peter R, Morgan, Todd, Nieboer, Daan, Santaolalla, Aida, Trock, Bruce J, Valdagni, Riccardo, Roobol, Monique J, Trock, Bruce, Ehdaie, Behfar, Carroll, Peter, Filson, Christopher, Logothetis, Christopher, Klotz, Laurence, Pickles, Tom, Hyndman, Eric, Moore, Caroline, Gnanapragasam, Vincent, Van Hemelrijck, Mieke, Dasgupta, Prokar, Bangma, Chris, Roobol, Monique, Villers, Arnauld, Robert, Grégoire, Semjonow, Axel, Rannikko, Antti, Perry, Antoinette, Hugosson, Jonas, Rubio‐Briones, Jose, Hefermehl, Lukas, Shiong, Lee Lui, Frydenberg, Mark, Stricker, Phillip, Sugimoto, Mikio, Chung, Byung Ha, van der Kwast, Theo, van der Linden, Wim, Hulsen, Tim, Ruwe, Boris, van Hooft, Peter, Steyerberg, Ewout, Beckmann, Kerri, Denton, Brian, Hayen, Andrew, Boutros, Paul, Guo, Wei, Benfante, Nicole, Cowan, Janet, Patil, Dattatraya, Park, Lauren, Ferrante, Stephanie, Mamedov, Alexandre, LaPointe, Vincent, Crump, Trafford, Stavrinides, Vasilis, Kimberly‐Duffell, Jenna, Olivier, Jonathan, Rancati, Tiziana, Ahlgren, Helén, Mascarós, Juanma, Löfgren, Annica, Lehmann, Kurt, Lin, Catherine Han, Cusick, Thomas, Hirama, Hiromi, Lee, Kwang Suk, Jenster, Guido, Auvinen, Anssi, Haider, Masoom, van Bochove, Kees, Kouspou, Michelle, and Paich, Kellie

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Oncology and Carcinogenesis, Urologic Diseases, Aging, Prevention, Cancer, Prostate Cancer, Clinical Research, Biopsy, Disease Progression, Humans, Male, Neoplasm Grading, Prostate, Prostate-Specific Antigen, Prostatic Neoplasms, Watchful Waiting, active surveillance, biopsy schedule, prostate cancer, treatment, upgrading, Global Action Plan Active Surveillance Prostate Cancer [G.A.P.3] Consortium, Paediatrics and Reproductive Medicine, Oncology & Carcinogenesis, Clinical sciences, Oncology and carcinogenesis
Abstract

BackgroundThe optimal interval for repeat biopsy during active surveillance (AS) for prostate cancer is yet to be defined. This study examined whether risk of upgrading (to grade group ≥ 2) or risk of converting to treatment varied according to intensity of repeat biopsy using data from the GAP3 consortium's global AS database.Materials and methodsIntensity of surveillance biopsy schedules was categorized according to centers' protocols: (a) Prostate Cancer Research International Active Surveillance project (PRIAS) protocols with biopsies at years 1, 4, and 7 (10 centers; 7532 men); (b) biennial biopsies, that is, every other year (8 centers; 4365 men); and (c) annual biopsy schedules (4 centers; 1602 men). Multivariable Cox regression was used to compare outcomes according to biopsy intensity.ResultsOut of the 13,508 eligible participants, 56% were managed according to PRIAS protocols (biopsies at years 1, 4, and 7), 32% via biennial biopsy, and 12% via annual biopsy. After adjusting for baseline characteristics, risk of converting to treatment was greater for those on annual compared with PRIAS biopsy schedules (hazard ratio [HR] = 1.66; 95% confidence interval [CI] = 1.51-1.83; p

Published
2022

Catalog

Books, media, physical & digital resources
See catalog results