11 results on '"Salamanca-Fernandez, E"'
Search Results
2. Historical exposure to non-persistent environmental pollutants and risk of type 2 diabetes in a Spanish sub-cohort from the European Prospective Investigation into Cancer and Nutrition study
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Salamanca-Fernández, E., Iribarne-Durán, L.M., Rodríguez-Barranco, M., Vela-Soria, F., Olea, N., Sánchez-Pérez, M.J., and Arrebola, J.P.
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- 2020
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3. Risk thresholds for alcohol consumption: combined analysis of individual-participant data for 599 912 current drinkers in 83 prospective studies
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Wood, A.M. Kaptoge, S. Butterworth, A.S. Willeit, P. Warnakula, S. Bolton, T. Paige, E. Paul, D.S. Sweeting, M. Burgess, S. Bell, S. Astle, W. Stevens, D. Koulman, A. Selmer, R.M. Verschuren, W.M.M. Sato, S. Njølstad, I. Woodward, M. Salomaa, V. Nordestgaard, B.G. Yeap, B.B. Fletcher, A. Melander, O. Kuller, L.H. Balkau, B. Marmot, M. Koenig, W. Casiglia, E. Cooper, C. Arndt, V. Franco, O.H. Wennberg, P. Gallacher, J. de la Cámara, A.G. Völzke, H. Dahm, C.C. Dale, C.E. Bergmann, M.M. Crespo, C.J. van der Schouw, Y.T. Kaaks, R. Simons, L.A. Lagiou, P. Schoufour, J.D. Boer, J.M.A. Key, T.J. Rodriguez, B. Moreno-Iribas, C. Davidson, K.W. Taylor, J.O. Sacerdote, C. Wallace, R.B. Quiros, J.R. Tumino, R. Blazer, D.G., II Linneberg, A. Daimon, M. Panico, S. Howard, B. Skeie, G. Strandberg, T. Weiderpass, E. Psaty, B.M. Kromhout, D. Salamanca-Fernandez, E. Kiechl, S. Krumholz, H.M. Grioni, S. Palli, D. Huerta, J.M. Price, J. Sundström, J. Arriola, L. Arima, H. Travis, R.C. Panagiotakos, D.B. Karakatsani, A. Trichopoulou, A. Kühn, T. Grobbee, D.E. Barrett-Connor, E. van Schoor, N. Boeing, H. Overvad, K. Kauhanen, J. Wareham, N. Langenberg, C. Forouhi, N. Wennberg, M. Després, J.-P. Cushman, M. Cooper, J.A. Rodriguez, C.J. Sakurai, M. Shaw, J.E. Knuiman, M. Voortman, T. Meisinger, C. Tjønneland, A. Brenner, H. Palmieri, L. Dallongeville, J. Brunner, E.J. Assmann, G. Trevisan, M. Gillum, R.F. Ford, I.F. Sattar, N. Lazo, M. Thompson, S.G. Ferrari, P. Leon, D.A. Davey Smith, G. Peto, R. Jackson, R. Banks, E. Di Angelantonio, E. Danesh, J. Veikko, S. Gómez de la Cámara, A. Rimm, E.B. Dallongeville, J.-P. Gillumn, R.F. Thompson, S. Emerging Risk Factors Collaboration/EPIC-CVD/UK Biobank Alcohol Study Group
- Abstract
Background: Low-risk limits recommended for alcohol consumption vary substantially across different national guidelines. To define thresholds associated with lowest risk for all-cause mortality and cardiovascular disease, we studied individual-participant data from 599 912 current drinkers without previous cardiovascular disease. Methods: We did a combined analysis of individual-participant data from three large-scale data sources in 19 high-income countries (the Emerging Risk Factors Collaboration, EPIC-CVD, and the UK Biobank). We characterised dose–response associations and calculated hazard ratios (HRs) per 100 g per week of alcohol (12·5 units per week) across 83 prospective studies, adjusting at least for study or centre, age, sex, smoking, and diabetes. To be eligible for the analysis, participants had to have information recorded about their alcohol consumption amount and status (ie, non-drinker vs current drinker), plus age, sex, history of diabetes and smoking status, at least 1 year of follow-up after baseline, and no baseline history of cardiovascular disease. The main analyses focused on current drinkers, whose baseline alcohol consumption was categorised into eight predefined groups according to the amount in grams consumed per week. We assessed alcohol consumption in relation to all-cause mortality, total cardiovascular disease, and several cardiovascular disease subtypes. We corrected HRs for estimated long-term variability in alcohol consumption using 152 640 serial alcohol assessments obtained some years apart (median interval 5·6 years [5th–95th percentile 1·04–13·5]) from 71 011 participants from 37 studies. Findings: In the 599 912 current drinkers included in the analysis, we recorded 40 310 deaths and 39 018 incident cardiovascular disease events during 5·4 million person-years of follow-up. For all-cause mortality, we recorded a positive and curvilinear association with the level of alcohol consumption, with the minimum mortality risk around or below 100 g per week. Alcohol consumption was roughly linearly associated with a higher risk of stroke (HR per 100 g per week higher consumption 1·14, 95% CI, 1·10–1·17), coronary disease excluding myocardial infarction (1·06, 1·00–1·11), heart failure (1·09, 1·03–1·15), fatal hypertensive disease (1·24, 1·15–1·33); and fatal aortic aneurysm (1·15, 1·03–1·28). By contrast, increased alcohol consumption was log-linearly associated with a lower risk of myocardial infarction (HR 0·94, 0·91–0·97). In comparison to those who reported drinking >0–≤100 g per week, those who reported drinking >100–≤200 g per week, >200–≤350 g per week, or >350 g per week had lower life expectancy at age 40 years of approximately 6 months, 1–2 years, or 4–5 years, respectively. Interpretation: In current drinkers of alcohol in high-income countries, the threshold for lowest risk of all-cause mortality was about 100 g/week. For cardiovascular disease subtypes other than myocardial infarction, there were no clear risk thresholds below which lower alcohol consumption stopped being associated with lower disease risk. These data support limits for alcohol consumption that are lower than those recommended in most current guidelines. Funding: UK Medical Research Council, British Heart Foundation, National Institute for Health Research, European Union Framework 7, and European Research Council. © 2018 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license.
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- 2018
4. Consumptiion of fruits,vegetables, and fruit juices and differentiated thyroid carcinoma risk in the European Investigation into Cancer and Nutrition (EPIC) study
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Zamora-Ros, R, Beraud, V, Franceschi, S, Cayssials, V, Tsilidis, KK, Boutron-Ruault, MC, Weiderpass, E, Overvad, K, Tjonneland, A, Eriksen, AK, Bonnet, F, Affret, A, Katzke, V, Kuhn, T, Boeing, H, Trichopoulou, A, Valanou, E, Karakatsani, A, Masala, G, Grioni, S, Santucci de Magistris, M, Tumino, R, Ricceri, F, Skeie, G, Parr, CL, Merino, S, Salamanca-Fernandez, E, Chirlaque, MD, Ardanaz, E, Amiano, P, Almquist, M, Drake, I, Hennings, J, Sandstrom, M, Bueno-de-Mesquita, HB, Peeters, PH, Khaw, KT, Wareham, NJ, Schmidt, JA, Perez-Cornago, A, Aune, D, Riboli, E, Slimani, N, Scalbert, A, Romieu, I, Agudo, A, Rinaldi, S, and Imperial College Trust
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vegetables ,Adult ,Male ,Healthy Diet ,fruits ,Middle Aged ,fruit juices ,Diet ,Cohort Studies ,Europe ,Fruit and Vegetable Juices ,Fruit ,thyroid cancer ,Humans ,Female ,Prospective Studies ,Thyroid Neoplasms ,Oncology & Carcinogenesis ,EPIC ,intake ,1112 Oncology And Carcinogenesis ,Aged - Abstract
Fruit and vegetable (F&V) intake is considered as probably protective against overall cancer risk, but results in previous studies are not consistent for thyroid cancer (TC). The purpose of this study is to examine the association between the consumption of fruits, vegetables, fruit juices and differentiated thyroid cancer risk within the European Prospective Investigation into Cancer and Nutrition (EPIC) study. The EPIC study is a cohort including over half a million participants, recruited between 1991 and 2000. During a mean follow-up of 14 years, 748 incident first primary differentiated TC cases were identified. F&V and fruit juice intakes were assessed through validated country-specific dietary questionnaires. Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated using Cox regression models adjusted for potential confounding factors. Comparing the highest versus lowest quartile of intake, differentiated TC risk was not associated with intakes of total F&V (HR: 0.89; 95% CI: 0.68–1.15; p-trend = 0.44), vegetables (HR: 0.89; 95% CI: 0.69–1.14; p-trend = 0.56), or fruit (HR: 1.00; 95% CI: 0.79–1.26; p-trend = 0.64). No significant association was observed with any individual type of vegetable or fruit. However, there was a positive borderline trend with fruit juice intake (HR: 1.23; 95% CI: 0.98–1.53; p-trend = 0.06). This study did not find any significant association between F&V intakes and differentiated TC risk; however a positive trend with fruit juice intake was observed, possibly related to its high sugar content.
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- 2017
5. Pre-diagnostic circulating insulin-like growth factor-I and bladder cancer risk in the European Prospective Investigation into Cancer and Nutrition
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Lin, C, Travis, RC, Appleby, PN, Tipper, S, Weiderpass, E, Chang-Claude, J, Gram, IT, Kaaks, R, Kiemeney, LA, Ljungberg, B, Tumino, R, Tjonneland, A, Roswall, N, Overvad, K, Boutron-Ruault, M-C, Manciniveri, FR, Severi, G, Trichopoulou, A, Masala, G, Sacerdote, C, Agnoli, C, Panico, S, Bueno-de-Mesquita, B, Peeters, PH, Salamanca-Fernandez, E, Chirlaque, M-D, Ardanaz, E, Dorronsoro, M, Menendez, V, Lujan-Barroso, L, Liedberg, F, Freisling, H, Gunter, M, Aune, D, Cross, AJ, Riboli, E, Key, TJ, Perez-Cornago, A, Lin, C, Travis, RC, Appleby, PN, Tipper, S, Weiderpass, E, Chang-Claude, J, Gram, IT, Kaaks, R, Kiemeney, LA, Ljungberg, B, Tumino, R, Tjonneland, A, Roswall, N, Overvad, K, Boutron-Ruault, M-C, Manciniveri, FR, Severi, G, Trichopoulou, A, Masala, G, Sacerdote, C, Agnoli, C, Panico, S, Bueno-de-Mesquita, B, Peeters, PH, Salamanca-Fernandez, E, Chirlaque, M-D, Ardanaz, E, Dorronsoro, M, Menendez, V, Lujan-Barroso, L, Liedberg, F, Freisling, H, Gunter, M, Aune, D, Cross, AJ, Riboli, E, Key, TJ, and Perez-Cornago, A
- Abstract
Previous in vitro and case-control studies have found an association between the insulin-like growth factor (IGF)-axis and bladder cancer risk. Circulating concentrations of IGF-I have also been found to be associated with an increased risk of several cancer types; however, the relationship between pre-diagnostic circulating IGF-I concentrations and bladder cancer has never been studied prospectively. We investigated the association of pre-diagnostic plasma concentrations of IGF-I with risk of overall bladder cancer and urothelial cell carcinoma (UCC) in a case-control study nested within the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. A total of 843 men and women diagnosed with bladder cancer between 1992 and 2005 were matched with 843 controls by recruitment centre, sex, age at recruitment, date of blood collection, duration of follow-up, time of day and fasting status at blood collection using an incidence density sampling protocol. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated using conditional logistic regression with adjustment for smoking status. No association was found between pre-diagnostic circulating IGF-I concentration and overall bladder cancer risk (adjusted OR for highest versus lowest fourth: 0.91, 95% CI: 0.66-1.24, ptrend = 0.40) or UCC (n of cases = 776; 0.91, 0.65-1.26, ptrend = 0.40). There was no significant evidence of heterogeneity in the association of IGF-I with bladder cancer risk by tumour aggressiveness, sex, smoking status, or by time between blood collection and diagnosis (pheterogeneity > 0.05 for all). This first prospective study indicates no evidence of an association between plasma IGF-I concentrations and bladder cancer risk.
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- 2018
6. Risk thresholds for alcohol consumption:combined analysis of individual-participant data for 599 912 current drinkers in 83 prospective studies
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Wood, A. M. (Angela M.), Kaptoge, S. (Stephen), Butterworth, A. S. (Adam S.), Willeit, P. (Peter), Warnakula, S. (Samantha), Bolton, T. (Thomas), Paige, E. (Ellie), Paul, D. S. (Dirk S.), Sweeting, M. (Michael), Burgess, S. (Stephen), Bell, S. (Steven), Astle, W. (William), Stevens, D. (David), Koulman, A. (Albert), Selmer, R. M. (Randi M.), Verschuren, W. M. (W. M. Monique), Sato, S. (Shinichi), Njolstad, I. (Inger), Woodward, M. (Mark), Salomaa, V. (Veikko), Nordestgaard, B. G. (Borge G.), Yeap, B. B. (Bu B.), Fletcher, A. (Astrid), Melander, O. (Olle), Kuller, L. H. (Lewis H.), Balkau, B. (Beverley), Marmot, M. (Michael), Koenig, W. (Wolfgang), Casiglia, E. (Edoardo), Cooper, C. (Cyrus), Arndt, V. (Volker), Franco, O. H. (Oscar H.), Wennberg, P. (Patrik), Gallacher, J. (John), de la Camara, A. G. (Agustin Gomez), Volzke, H. (Henry), Dahm, C. C. (Christina C.), Dale, C. E. (Caroline E.), Bergmann, M. M. (Manuela M.), Crespo, C. J. (Carlos J.), van der Schouw, Y. T. (Yvonne T.), Kaaks, R. (Rudolf), Simons, L. A. (Leon A.), Lagiou, P. (Pagona), Schoufour, J. D. (Josje D.), Boer, J. M. (Jolanda M. A.), Key, T. J. (Timothy J.), Rodriguez, B. (Beatriz), Moreno-Iribas, C. (Conchi), Davidson, K. W. (Karina W.), Taylor, J. O. (James O.), Sacerdote, C. (Carlotta), Wallace, R. B. (Robert B.), Quiros, J. R. (J. Ramon), Tumino, R. (Rosario), Blazer, D. G. (Dan G., II), Linneberg, A. (Allan), Daimon, M. (Makoto), Panico, S. (Salvatore), Howard, B. (Barbara), Skeie, G. (Guri), Strandberg, T. (Timo), Weiderpass, E. (Elisabete), Nietert, P. J. (Paul J.), Psaty, B. M. (Bruce M.), Kromhout, D. (Daan), Salamanca-Fernandez, E. (Elena), Kiechl, S. (Stefan), Krumholz, H. M. (Harlan M.), Grioni, S. (Sara), Palli, D. (Domenico), Huerta, J. M. (Jose M.), Price, J. (Jackie), Sundstrom, J. (Johan), Arriola, L. (Larraitz), Arima, H. (Hisatomi), Travis, R. C. (Ruth C.), Panagiotakos, D. B. (Demosthenes B.), Karakatsani, A. (Anna), Trichopoulou, A. (Antonia), Kuhn, T. (Tilman), Grobbee, D. E. (Diederick E.), Barrett-Connor, E. (Elizabeth), van Schoor, N. (Natasja), Boeing, H. (Heiner), Overvad, K. (Kim), Kauhanen, J. (Jussi), Wareham, N. (Nick), Langenberg, C. (Claudia), Forouhi, N. (Nita), Wennberg, M. (Maria), Despres, J.-P. (Jean-Pierre), Cushman, M. (Mary), Cooper, J. A. (Jackie A.), Rodriguez, C. J. (Carlos J.), Sakurai, M. (Masaru), Shaw, J. E. (Jonathan E.), Knuiman, M. (Matthew), Voortman, T. (Trudy), Meisinger, C. (Christa), Tjonneland, A. (Anne), Brenner, H. (Hermann), Palmieri, L. (Luigi), Dallongeville, J. (Jean), Brunner, E. J. (Eric J.), Assmann, G. (Gerd), Trevisan, M. (Maurizio), Gillum, R. F. (Richard F.), Ford, I. (Ian), Sattar, N. (Naveed), Lazo, M. (Mariana), Thompson, S. G. (Simon G.), Ferrari, P. (Pietro), Leon, D. A. (David A.), Smith, G. D. (George Davey), Peto, R. (Richard), Jackson, R. (Rod), Banks, E. (Emily), Di Angelantonio, E. (Emanuele), Danesh, J. (John), Wood, A. M. (Angela M.), Kaptoge, S. (Stephen), Butterworth, A. S. (Adam S.), Willeit, P. (Peter), Warnakula, S. (Samantha), Bolton, T. (Thomas), Paige, E. (Ellie), Paul, D. S. (Dirk S.), Sweeting, M. (Michael), Burgess, S. (Stephen), Bell, S. (Steven), Astle, W. (William), Stevens, D. (David), Koulman, A. (Albert), Selmer, R. M. (Randi M.), Verschuren, W. M. (W. M. Monique), Sato, S. (Shinichi), Njolstad, I. (Inger), Woodward, M. (Mark), Salomaa, V. (Veikko), Nordestgaard, B. G. (Borge G.), Yeap, B. B. (Bu B.), Fletcher, A. (Astrid), Melander, O. (Olle), Kuller, L. H. (Lewis H.), Balkau, B. (Beverley), Marmot, M. (Michael), Koenig, W. (Wolfgang), Casiglia, E. (Edoardo), Cooper, C. (Cyrus), Arndt, V. (Volker), Franco, O. H. (Oscar H.), Wennberg, P. (Patrik), Gallacher, J. (John), de la Camara, A. G. (Agustin Gomez), Volzke, H. (Henry), Dahm, C. C. (Christina C.), Dale, C. E. (Caroline E.), Bergmann, M. M. (Manuela M.), Crespo, C. J. (Carlos J.), van der Schouw, Y. T. (Yvonne T.), Kaaks, R. (Rudolf), Simons, L. A. (Leon A.), Lagiou, P. (Pagona), Schoufour, J. D. (Josje D.), Boer, J. M. (Jolanda M. A.), Key, T. J. (Timothy J.), Rodriguez, B. (Beatriz), Moreno-Iribas, C. (Conchi), Davidson, K. W. (Karina W.), Taylor, J. O. (James O.), Sacerdote, C. (Carlotta), Wallace, R. B. (Robert B.), Quiros, J. R. (J. Ramon), Tumino, R. (Rosario), Blazer, D. G. (Dan G., II), Linneberg, A. (Allan), Daimon, M. (Makoto), Panico, S. (Salvatore), Howard, B. (Barbara), Skeie, G. (Guri), Strandberg, T. (Timo), Weiderpass, E. (Elisabete), Nietert, P. J. (Paul J.), Psaty, B. M. (Bruce M.), Kromhout, D. (Daan), Salamanca-Fernandez, E. (Elena), Kiechl, S. (Stefan), Krumholz, H. M. (Harlan M.), Grioni, S. (Sara), Palli, D. (Domenico), Huerta, J. M. (Jose M.), Price, J. (Jackie), Sundstrom, J. (Johan), Arriola, L. (Larraitz), Arima, H. (Hisatomi), Travis, R. C. (Ruth C.), Panagiotakos, D. B. (Demosthenes B.), Karakatsani, A. (Anna), Trichopoulou, A. (Antonia), Kuhn, T. (Tilman), Grobbee, D. E. (Diederick E.), Barrett-Connor, E. (Elizabeth), van Schoor, N. (Natasja), Boeing, H. (Heiner), Overvad, K. (Kim), Kauhanen, J. (Jussi), Wareham, N. (Nick), Langenberg, C. (Claudia), Forouhi, N. (Nita), Wennberg, M. (Maria), Despres, J.-P. (Jean-Pierre), Cushman, M. (Mary), Cooper, J. A. (Jackie A.), Rodriguez, C. J. (Carlos J.), Sakurai, M. (Masaru), Shaw, J. E. (Jonathan E.), Knuiman, M. (Matthew), Voortman, T. (Trudy), Meisinger, C. (Christa), Tjonneland, A. (Anne), Brenner, H. (Hermann), Palmieri, L. (Luigi), Dallongeville, J. (Jean), Brunner, E. J. (Eric J.), Assmann, G. (Gerd), Trevisan, M. (Maurizio), Gillum, R. F. (Richard F.), Ford, I. (Ian), Sattar, N. (Naveed), Lazo, M. (Mariana), Thompson, S. G. (Simon G.), Ferrari, P. (Pietro), Leon, D. A. (David A.), Smith, G. D. (George Davey), Peto, R. (Richard), Jackson, R. (Rod), Banks, E. (Emily), Di Angelantonio, E. (Emanuele), and Danesh, J. (John)
- Abstract
Background: Low-risk limits recommended for alcohol consumption vary substantially across different national guidelines. To define thresholds associated with lowest risk for all-cause mortality and cardiovascular disease, we studied individual-participant data from 599 912 current drinkers without previous cardiovascular disease. Methods: We did a combined analysis of individual-participant data from three large-scale data sources in 19 high-income countries (the Emerging Risk Factors Collaboration, EPIC-CVD, and the UK Biobank). We characterised dose–response associations and calculated hazard ratios (HRs) per 100 g per week of alcohol (12·5 units per week) across 83 prospective studies, adjusting at least for study or centre, age, sex, smoking, and diabetes. To be eligible for the analysis, participants had to have information recorded about their alcohol consumption amount and status (ie, non-drinker vs current drinker), plus age, sex, history of diabetes and smoking status, at least 1 year of follow-up after baseline, and no baseline history of cardiovascular disease. The main analyses focused on current drinkers, whose baseline alcohol consumption was categorised into eight predefined groups according to the amount in grams consumed per week. We assessed alcohol consumption in relation to all-cause mortality, total cardiovascular disease, and several cardiovascular disease subtypes. We corrected HRs for estimated long-term variability in alcohol consumption using 152 640 serial alcohol assessments obtained some years apart (median interval 5·6 years [5th–95th percentile 1·04–13·5]) from 71 011 participants from 37 studies. Findings: In the 599 912 current drinkers included in the analysis, we recorded 40 310 deaths and 39 018 incident cardiovascular disease events during 5·4 million person-years of follow-up. For all-cause mortality, we recorded a positive and curvilinear association with the level of alcohol consumption, with the minimum mortality ris
- Published
- 2018
7. Association Between Low-Density Lipoprotein Cholesterol-Lowering Genetic Variants and Risk of Type 2 Diabetes: A Meta-analysis
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Lotta, LA, Sharp, SJ, Burgess, S, Perry, JRB, Stewart, ID, Willems, SM, Luan, J, Ardanaz, E, Arriola, L, Balkau, B, Boeing, H, Deloukas, P, Forouhi, NG, Franks, PW, Grioni, S, Kaaks, R, Key, TJ, Navarro, C, Nilsson, PM, Overvad, K, Palli, D, Panico, S, Quirós, J-R, Riboli, E, Rolandsson, O, Sacerdote, C, Salamanca-Fernandez, E, Slimani, N, Spijkerman, AMW, Tjonneland, A, Tumino, R, Van Der A, DL, Van Der Schouw, YT, McCarthy, MI, Barroso, I, O'Rahilly, S, Savage, DB, Sattar, N, Langenberg, C, Scott, RA, and Wareham, NJ
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Adult ,Risk ,Simvastatin ,Lipoproteins ,Coronary Artery Disease ,Cohort Studies ,Odds Ratio ,Humans ,ATP Binding Cassette Transporter, Subfamily G, Member 5 ,Genetic Association Studies ,Aged ,Polymorphism, Genetic ,Genetic Variation ,Membrane Proteins ,Membrane Transport Proteins ,Cholesterol, LDL ,Middle Aged ,Ezetimibe ,3. Good health ,Diabetes Mellitus, Type 2 ,Receptors, LDL ,lipids (amino acids, peptides, and proteins) ,Drug Therapy, Combination ,Hydroxymethylglutaryl CoA Reductases ,Hydroxymethylglutaryl-CoA Reductase Inhibitors ,Proprotein Convertase 9 - Abstract
IMPORTANCE: Low-density lipoprotein cholesterol (LDL-C)-lowering alleles in or near $\textit{NPC1L1}$ or $\textit{HMGCR}$, encoding the respective molecular targets of ezetimibe and statins, have previously been used as proxies to study the efficacy of these lipid-lowering drugs. Alleles near $\textit{HMGCR}$ are associated with a higher risk of type 2 diabetes, similar to the increased incidence of new-onset diabetes associated with statin treatment in randomized clinical trials. It is unknown whether alleles near $\textit{NPC1L1}$ are associated with the risk of type 2 diabetes. OBJECTIVE: To investigate whether LDL-C-lowering alleles in or near $\textit{NPC1L1}$ and other genes encoding current or prospective molecular targets of lipid-lowering therapy (ie, $\textit{HMGCR}$, $\textit{PCSK9}$, $\textit{ABCG5/G8}$, $\textit{LDLR}$) are associated with the risk of type 2 diabetes. DESIGN, SETTING, AND PARTICIPANTS: The associations with type 2 diabetes and coronary artery disease of LDL-C-lowering genetic variants were investigated in meta-analyses of genetic association studies. Meta-analyses included 50 775 individuals with type 2 diabetes and 270 269 controls and 60 801 individuals with coronary artery disease and 123 504 controls. Data collection took place in Europe and the United States between 1991 and 2016. EXPOSURES: Low-density lipoprotein cholesterol-lowering alleles in or near $\textit{NPC1L1}$, $\textit{HMGCR}$, $\textit{PCSK9}$, $\textit{ABCG5/G8}$, and $\textit{LDLR}$. MAIN OUTCOMES AND MEASURES: Odds ratios (ORs) for type 2 diabetes and coronary artery disease. RESULTS: Low-density lipoprotein cholesterol-lowering genetic variants at $\textit{NPC1L1}$ were inversely associated with coronary artery disease (OR for a genetically predicted 1-mmol/L [38.7-mg/dL] reduction in LDL-C of 0.61 [95% CI, 0.42-0.88]; $P$ = .008) and directly associated with type 2 diabetes (OR for a genetically predicted 1-mmol/L reduction in LDL-C of 2.42 [95% CI, 1.70-3.43]; $P$ < .001). For $\textit{PCSK9}$ genetic variants, the OR for type 2 diabetes per 1-mmol/L genetically predicted reduction in LDL-C was 1.19 (95% CI, 1.02-1.38; $P$ = .03). For a given reduction in LDL-C, genetic variants were associated with a similar reduction in coronary artery disease risk ($I^2$ = 0% for heterogeneity in genetic associations; $P$ = .93). However, associations with type 2 diabetes were heterogeneous ($I^2$ = 77.2%; $P$ = .002), indicating gene-specific associations with metabolic risk of LDL-C-lowering alleles. CONCLUSIONS AND RELEVANCE: In this meta-analysis, exposure to LDL-C-lowering genetic variants in or near $\textit{NPC1L1}$ and other genes was associated with a higher risk of type 2 diabetes. These data provide insights into potential adverse effects of LDL-C-lowering therapy.
8. Kisspeptin as potential biomarker of environmental chemical mixture effect on reproductive hormone profile: A pilot study in adolescent males.
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Rodriguez-Carrillo A, Remy S, D'Cruz SC, Salamanca-Fernandez E, Gil F, Olmedo P, Mustieles V, Vela-Soria F, Baken K, Olea N, Smagulova F, Fernandez MF, and Freire C
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- Male, Humans, Adolescent, Pilot Projects, Follicle Stimulating Hormone, Testosterone, Kisspeptins, Luteinizing Hormone
- Abstract
Background: Kisspeptin has been proposed as an effect biomarker to understand the mechanisms by which some environmental chemicals adversely affect the human reproductive system., Objective: To ascertain whether kisspeptin serum protein and DNA methylation levels are associated with exposure to several environmental chemicals (individually and as a mixture) and serum reproductive hormone levels in adolescent males., Methods: Three phenols (bisphenol A [BPA], methyl-paraben [MPB], and benzophenone-3 [BP3]); two toxic metals (arsenic and cadmium); and four metabolites of non-persistent pesticides, including insecticides (2-isopropyl-6-methyl-4-pyrimidinol [IMPy], malathion diacid [MDA], and dimethylcyclopropane carboxylic acid [DCCA]) and fungicides (ethylene thiourea [ETU]) were measured in first-morning urine samples of 133 adolescent males aged 15-17 years from the INMA-Granada cohort. In blood samples collected on the same day, KISS1 gene DNA methylation was measured at four CpGs from the Exon IV, as well as serum levels of kiss54 protein, total testosterone (T), estradiol (E
2 ), sex hormone binding-globulin, dehydroepiandrosterone sulfate, luteinizing hormone (LH), and follicle-stimulating hormone (FSH). Multiple linear regression and mixture (quantile g-computation) models were fit., Results: Urinary MDA and DCCA concentrations were associated with higher kiss54 levels [% change (95%CI) for each log-unit increase in concentration = 2.90 (0.32;5.56), and 1.93 (0.45,3.43), respectively]; IMPy with lower DNA methylation percentage at CpG1 and total CpGs [% change (95%CI) = -1.15 (-1.96;-0.33): -0.89 (-1.73;-0.01), respectively]; and BP3 and DCCA with lower total CpGs methylation [-0.53 (-1.04;-0.01) and - 0.69 (-1.37;-0.01), respectively]. The pesticide mixture and the whole chemical mixture were associated with higher kiss54 [% change (95%CI) = 9.09 (3.29;15.21) and 11.61 (3.96;19.82), respectively] and lower methylation levels at several CpGs. Additionally, serum kiss54 in the third tertile was associated with higher LH levels [% change (95%CI) = 28.69 (3.75-59.63)], and third-tertile CpG1, CpG2, and total CpG methylation percentages were associated with lower FSH and E2 ., Conclusion: The findings of the present study and the negative correlation between serum kiss54 levels and KISS1 DNA methylation percentages suggested that kisspeptin may be a promising effect biomarker., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper, (Copyright © 2023 The Authors. Published by Elsevier B.V. All rights reserved.)- Published
- 2023
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9. Development and validation of brain-derived neurotrophic factor measurement in human urine samples as a non-invasive effect biomarker.
- Author
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Olivas-Martinez A, Suarez B, Salamanca-Fernandez E, Reina-Perez I, Rodriguez-Carrillo A, Mustieles V, Olea N, Freire C, and Fernández MF
- Abstract
Background: Brain-derived neurotrophic factor (BDNF), a neurotrophic growth factor mainly expressed in the brain, has been proposed as a potential effect biomarker; that is, as a measurable biomarker whose values could be associated with several diseases, including neurological impairments. The European Human Biomonitoring Initiative (HBM4EU) has also recognized effect biomarkers as a useful tool for establishing link between exposure to environmental pollutants and human health. Despite the well-establish protocol for measuring serum BDNF, there is a need to validate its assessment in urine, a non-invasive sample that can be easily repeated over time. The aim of this study was to develop, standardize and validate a methodology to quantify BDNF protein levels in urine samples before its implementation in biomonitoring studies., Methods: Different experimental conditions and non-competitive commercial enzyme-linked immunosorbent assay (ELISA) kits were tested to determine the optimal analytical procedure, trying to minimize the shortcomings of ELISA kits. The fine-tune protocol was validated in a pilot study using both upon awakening ( n = 150) and prior to sleeping ( n = 106) urine samples from the same Spanish adolescent males in a well-characterized study population (the Spanish INMA-Granada cohort)., Results: The best results were obtained in 0.6 ml of urine after the acidification and extraction (pre-concentration) of samples. The highest reproducibility was obtained with the ELISA kit from Raybiotech. Urinary BDNF concentrations of adolescent males were within the previously reported range (morning = 0.047-6.801 ng/ml and night = 0.047-7.404 ng/ml). Urinary BDNF levels in the awakening and pre-sleep samples did not follow a normal distribution and were not correlated., Conclusion: The developed methodology offers good sensitivity and reproducibility. Having reliable markers in urine may facilitate both diagnosis and monitoring possible diseases (and treatment). Further studies are needed to implement urinary BDNF in biomonitoring studies to further elucidate its usefulness and biological significance for neurological impairments., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Olivas-Martinez, Suarez, Salamanca-Fernandez, Reina-Perez, Rodriguez-Carrillo, Mustieles, Olea, Freire and Fernández.)
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- 2023
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10. Greenhouse gases emissions from the diet and risk of death and chronic diseases in the EPIC-Spain cohort.
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González CA, Bonet C, de Pablo M, Sanchez MJ, Salamanca-Fernandez E, Dorronsoro M, Amiano P, Huerta JM, Chirlaque MD, Ardanaz E, Barricarte A, Quirós JR, Agudo A, and Rivera Ferrer MG
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- Chronic Disease, Diet, Female, Greenhouse Effect, Humans, Male, Prospective Studies, Spain epidemiology, Diabetes Mellitus, Type 2, Greenhouse Gases analysis
- Abstract
Background: Evidence from the scientific literature shows a significant variation in greenhouse gas (GHG) emissions from the diet, according to the type of food consumed. We aim to analyze the relationship between the daily dietary GHG emissions according to red meat, fruit and vegetables consumption and their relationship with risk of total mortality, and incident risk of chronic diseases., Methods: We examined data on the EPIC-Spain prospective study, with a sample of 40 621 participants. Dietary GHG emission values were calculated for 57 food items of the EPIC study using mean emission data from a systematic review of 369 published studies., Results: Dietary GHG emissions (kgCO2eq/day), per 2000 kcal, were 4.7 times higher in those with high red-meat consumption (>140 g/day) than those with low consumption (<70 g/day). The average dietary GHG emissions were similar in males and females, but it was significantly higher in youngest people and in those individuals with lower educational level, as well as for northern EPIC centers of Spain. We found a significant association with the risk of mortality comparing the third vs. the first tertile of dietary GHG emissions [hazard ratio (HR) 1.095; 95% confidence interval (CI) 1.007-1.19; trend test 0.037]. Risk of coronary heart disease (HR 1.26; 95% CI 1.08-1.48; trend test 0.003) and risk of type 2 diabetes (HR 1.24; 95% CI 1.11-1.38; trend test 0.002) showed significant association as well., Conclusions: Decreasing red-meat consumption would lead to reduce GHG emissions from diet and would reduce risk of mortality, coronary heart disease and type 2 diabetes., (© The Author(s) 2020. Published by Oxford University Press on behalf of the European Public Health Association. All rights reserved.)
- Published
- 2021
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11. Risk thresholds for alcohol consumption: combined analysis of individual-participant data for 599 912 current drinkers in 83 prospective studies.
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Wood AM, Kaptoge S, Butterworth AS, Willeit P, Warnakula S, Bolton T, Paige E, Paul DS, Sweeting M, Burgess S, Bell S, Astle W, Stevens D, Koulman A, Selmer RM, Verschuren WMM, Sato S, Njølstad I, Woodward M, Salomaa V, Nordestgaard BG, Yeap BB, Fletcher A, Melander O, Kuller LH, Balkau B, Marmot M, Koenig W, Casiglia E, Cooper C, Arndt V, Franco OH, Wennberg P, Gallacher J, de la Cámara AG, Völzke H, Dahm CC, Dale CE, Bergmann MM, Crespo CJ, van der Schouw YT, Kaaks R, Simons LA, Lagiou P, Schoufour JD, Boer JMA, Key TJ, Rodriguez B, Moreno-Iribas C, Davidson KW, Taylor JO, Sacerdote C, Wallace RB, Quiros JR, Tumino R, Blazer DG 2nd, Linneberg A, Daimon M, Panico S, Howard B, Skeie G, Strandberg T, Weiderpass E, Nietert PJ, Psaty BM, Kromhout D, Salamanca-Fernandez E, Kiechl S, Krumholz HM, Grioni S, Palli D, Huerta JM, Price J, Sundström J, Arriola L, Arima H, Travis RC, Panagiotakos DB, Karakatsani A, Trichopoulou A, Kühn T, Grobbee DE, Barrett-Connor E, van Schoor N, Boeing H, Overvad K, Kauhanen J, Wareham N, Langenberg C, Forouhi N, Wennberg M, Després JP, Cushman M, Cooper JA, Rodriguez CJ, Sakurai M, Shaw JE, Knuiman M, Voortman T, Meisinger C, Tjønneland A, Brenner H, Palmieri L, Dallongeville J, Brunner EJ, Assmann G, Trevisan M, Gillum RF, Ford I, Sattar N, Lazo M, Thompson SG, Ferrari P, Leon DA, Smith GD, Peto R, Jackson R, Banks E, Di Angelantonio E, and Danesh J
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- Alcohol Drinking mortality, Cardiovascular Diseases etiology, Female, Humans, Male, Middle Aged, Prospective Studies, Alcohol Drinking adverse effects
- Abstract
Background: Low-risk limits recommended for alcohol consumption vary substantially across different national guidelines. To define thresholds associated with lowest risk for all-cause mortality and cardiovascular disease, we studied individual-participant data from 599 912 current drinkers without previous cardiovascular disease., Methods: We did a combined analysis of individual-participant data from three large-scale data sources in 19 high-income countries (the Emerging Risk Factors Collaboration, EPIC-CVD, and the UK Biobank). We characterised dose-response associations and calculated hazard ratios (HRs) per 100 g per week of alcohol (12·5 units per week) across 83 prospective studies, adjusting at least for study or centre, age, sex, smoking, and diabetes. To be eligible for the analysis, participants had to have information recorded about their alcohol consumption amount and status (ie, non-drinker vs current drinker), plus age, sex, history of diabetes and smoking status, at least 1 year of follow-up after baseline, and no baseline history of cardiovascular disease. The main analyses focused on current drinkers, whose baseline alcohol consumption was categorised into eight predefined groups according to the amount in grams consumed per week. We assessed alcohol consumption in relation to all-cause mortality, total cardiovascular disease, and several cardiovascular disease subtypes. We corrected HRs for estimated long-term variability in alcohol consumption using 152 640 serial alcohol assessments obtained some years apart (median interval 5·6 years [5th-95th percentile 1·04-13·5]) from 71 011 participants from 37 studies., Findings: In the 599 912 current drinkers included in the analysis, we recorded 40 310 deaths and 39 018 incident cardiovascular disease events during 5·4 million person-years of follow-up. For all-cause mortality, we recorded a positive and curvilinear association with the level of alcohol consumption, with the minimum mortality risk around or below 100 g per week. Alcohol consumption was roughly linearly associated with a higher risk of stroke (HR per 100 g per week higher consumption 1·14, 95% CI, 1·10-1·17), coronary disease excluding myocardial infarction (1·06, 1·00-1·11), heart failure (1·09, 1·03-1·15), fatal hypertensive disease (1·24, 1·15-1·33); and fatal aortic aneurysm (1·15, 1·03-1·28). By contrast, increased alcohol consumption was log-linearly associated with a lower risk of myocardial infarction (HR 0·94, 0·91-0·97). In comparison to those who reported drinking >0-≤100 g per week, those who reported drinking >100-≤200 g per week, >200-≤350 g per week, or >350 g per week had lower life expectancy at age 40 years of approximately 6 months, 1-2 years, or 4-5 years, respectively., Interpretation: In current drinkers of alcohol in high-income countries, the threshold for lowest risk of all-cause mortality was about 100 g/week. For cardiovascular disease subtypes other than myocardial infarction, there were no clear risk thresholds below which lower alcohol consumption stopped being associated with lower disease risk. These data support limits for alcohol consumption that are lower than those recommended in most current guidelines., Funding: UK Medical Research Council, British Heart Foundation, National Institute for Health Research, European Union Framework 7, and European Research Council., (Copyright © 2018 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. Published by Elsevier Ltd.. All rights reserved.)
- Published
- 2018
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