The DOI matches its Crossref record; 62 of the 62 references it cites were found in a registry or an index.
Consumption of red meat and whole-grain bread in relation to biomarkers of obesity, inflammation, glucose metabolism and oxidative stress
Open accessAbstract
PURPOSE: To examine the association of red meat and whole-grain bread consumption with plasma levels of biomarkers related to glucose metabolism, oxidative stress, inflammation and obesity. METHODS: Our cross-sectional study was based on 2,198 men and women who were selected as a sub-cohort for an investigation of biological predictors of diabetes and cardiovascular diseases from the European Prospective Investigation into Cancer and Nutrition-Potsdam study. Circulating levels of glycated hemoglobin, adiponectin, hs-CRP, gamma-glutamyltransferase, alanine-aminotransferase, fetuin-A, HDL-cholesterol and triglycerides were measured from random blood samples. Diet and lifestyle data were assessed by questionnaires, and anthropometric data were measured. RESULTS: After multivariable adjustment, higher consumption of whole-grain bread was significantly (P trend <0.05) associated with lower levels of GGT, ALT and hs-CRP, whereas higher consumption of red meat was significantly associated with higher levels of GGT and hs-CRP when adjusted for potential confounding factors related to lifestyle and diet. Further adjustment for body mass index and waist circumference attenuated the association between red meat and hs-CRP (P = 0.19). CONCLUSIONS: The results of this study suggest that high consumption of whole-grain bread is related to lower levels of GGT, ALT and hs-CRP, whereas high consumption of red meat is associated with higher circulating levels of GGT and hs-CRP.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Figures
![Fig. 1 Geometric means (95 % CI) of plasma hs-CRP levels across quintiles of red meat according to categories of whole-grain bread consumption [adjusted for age, sex, education (sport activity (0, 0.1–4, or >4 h/week), occupational activity (light, moderate, heavy), smoking (never, past or current <20, current 20 or more cigarettes/day), alcohol intake (0, 0.1–5, 5.1–10, 10.1–20, 20.1–40 or >40 g/day) and dietary variables (continuous): energy intake, consumptions of coffee and food items aggregating into same dietary pattern with red meat such as cabbages, cooked vegetables, legumes, cooked potatoes, mushrooms, sauce and poultry and food items aggregating into same dietary pattern with whole-grain bread, such as pasta and rice, pizza, vegetarian dishes, muesli, other bread than whole-grain bread, wine and spirits. P for interaction = 0.02]](/paper-figures/b288b3515fc64cd9ab98140d5335f045/consumption-of-red-meat-and-whole-grain-bread-in-relation-to-biomarkers-of-figure-1.jpg)
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Reported associations of red meat consumption with biomarkers of inflammation, glucose metabolism, and hepatocellular and oxidative stress were mostly explainable by differences in BMI (7,8).”
From Amino acids, lipid metabolites, and ferritin as potential mediators linking red meat consumption to type 2 diabetes (2015) · cites this paper as [7]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Riboli, E., Hunt, K., Slimani, N., Ferrari, P., Norat, T., Fahey, M., Charrondière, U., Hémon, B., Casagrande, C., Vignat, J., et al. (2002) · Public Health Nutrition · doi:10.1079/phn2002394 · Cited by 1,866
Self-citationObesity, Fat Distribution, and Weight Gain as Risk Factors for Clinical Diabetes in Men
Chan, J. M., Rimm, E. B., Colditz, G. A., Stampfer, M. J., & Willett, W. C. (1994) · Diabetes Care · doi:10.2337/diacare.17.9.961 · Cited by 1,808
Mechanism of hepatic insulin resistance in non-alcoholic fatty liver disease
Samuel, V. T., Liu, Z.-X., Qu, X., Elder, B. D., Bilz, S., Befroy, D., Romanelli, A. J., & Shulman, G. I. (2004) · Journal of Biological Chemistry · doi:10.1074/jbc.m313478200 · Cited by 1,322
Mente, A., de Koning, L., Shannon, H. S., & Anand, S. S. (2009) · Archives of Internal Medicine · doi:10.1001/archinternmed.2009.38 · Cited by 1,267
Micha, R., Wallace, S. K., & Mozaffarian, D. (2010) · Circulation · doi:10.1161/circulationaha.109.924977 · Cited by 1,244
Adiponectin and protection against type 2 diabetes mellitus
Spranger, J., Kroke, A., Möhlig, M., Bergmann, M. M., Ristow, M., Boeing, H., & Pfeiffer, A. F. H. (2003) · The Lancet · doi:10.1016/s0140-6736(03)12255-6 · Cited by 1,120
Self-citationOberley, L. W. (1988) · Free Radical Biology and Medicine · doi:10.1016/0891-5849(88)90036-6 · Cited by 1,105
R�sen, P., Nawroth, P., King, G. L., M�ller, W., Tritschler, H., & Packer, L. (2001) · Diabetes/Metabolism Research and Reviews · doi:10.1002/dmrr.196 · Cited by 890
McKeown, N. M., Meigs, J. B., Liu, S., Saltzman, E., Wilson, P. W. F., & Jacques, P. F. (2004) · Diabetes Care · doi:10.2337/diacare.27.2.538 · Cited by 786
Cited by
Sorted by citations
Items 201–238 of 238
Viljatuotteiden käytön yhteys matala-asteiseen tulehdukseen
Taskinen, E. (2021) · UEF eRepo (University of Eastern Finland)
Cardiorespiratory Toxicity of Biomass Pollutants
Aïkpé, J. F. A., Godonou, J.-B. M., Senou, M., Koukpoliyi, C. R., Hounkonnou, A., Akakpo, B. H., Gbénou, J., & Dansou, P. (2021) · Journal of the Medical Sciences (Berkala Ilmu Kedokteran) · doi:10.12691/ajmsm-9-3-2
Characterising whole grains in nutrition research and practice
Dalton, S. M. C. (2014) · Research Online (University of Wollongong)
Moore, D. (2021) · University of New Hampshire Scholars Repository (University of New Hampshire at Manchester)
Integrative Medicine and Hepatobiliary and Pancreatic Cancer: What to Expect
Hriso, C., Bazzan, A. J., Monti, D., & Newberg, A. B. (2021) · Springer eBooks · doi:10.1007/978-3-030-37482-2_49-1
Factors behind higher COVID-19 recovery and lower fatality rates in India - need for a focused study
Ramakrishnan, A. G., & Sharma, K. (2021) · IEEE Region Humanitarian Technology Conference · doi:10.1109/r10-htc53172.2021.9641736
Fisk, W. A., Levin, E., Hong, J., & Koo, J. Y. M. (2014) · CRC Press eBooks · doi:10.1201/b16638-18
Can lifestyle factors be the key in deciding the COVID-19 outcome?Preprint
Ramakrishnan, A. G., Sharma, K., & Gangadhar, B. N. (2022) · doi:10.31219/osf.io/qhupm
Peng, H., Xie, X., Pan, X., Zheng, J., Zeng, Y., Cai, X., Hu, Z., & Peng, X. (2020) · Research Square · doi:10.21203/rs.3.rs-63427/v2
Peng, H., Xie, X., Pan, X., Zheng, J., Zeng, Y., Cai, X., Hu, Z., & Peng, X. (2020) · Research Square · doi:10.21203/rs.3.rs-63427/v1
Postmenopausal women with high TNF-α concentrations presented less reduction in fat and blood lipids
Almeida, J. A., Pires, L. V., Lima, L. E., Santana, F. B., Júnior, W. M. D. S., Silva‐Grigoletto, M. E. D., & Mendes-Netto, R. S. (2022) · PAJAR - Pan-American Journal of Aging Research · doi:10.15448/2357-9641.2022.1.42759
silva, F. B. L. E., & Schuh, D. S. (2022) · Brazilian Journal of Health Review · doi:10.34119/bjhrv5n4-028
Role of Integrative Medicine in Liver Transplantation
Bazzan, A. J., Newberg, A. B., & Monti, D. (2017) · Springer eBooks · doi:10.1007/978-3-319-07209-8_31
Role of Integrative Medicine in Liver Transplantation
Bazzan, A. J., Newberg, A. B., & Monti, D. (2015) · Springer eBooks · doi:10.1007/978-3-319-05543-5_31-1
Integrative Medicine and Hepatobiliary and Pancreatic Cancer: What to Expect
Hriso, C., Bazzan, A. J., Monti, D., & Newberg, A. B. (2022) · Springer eBooks · doi:10.1007/978-3-030-41683-6_49
Evaluation of Non Enzymatic Status in Antioxidant Capital in Senegalese Type 2 Diabetics
Thiam, S., Touré, M., Samba, A., Ardja, A. A., Ndiaye, A., Coly, N. F., Soumah, I. Y., Diedhiou, F., Agossou, H., Tounkara, A. R., et al. (2023) · Asian Journal of Biochemistry Genetics and Molecular Biology · doi:10.9734/ajbgmb/2023/v14i3313
Самохвалова, О. В., Олійник, С. Г., & Stepankova, G. (2023) · doi:10.30525/978-9934-26-328-6-27
Jin, H., Maddela, R. L., & Sinnott, R. (2023) · Health · doi:10.4236/health.2023.1510075
Аnalysis of global trends in the use of whole-grain products in the nutrition of the population
Pyrieva, E. A., Safronova, A. I., & Gurchenkova, M. A. (2023) · Voprosy Pitaniya · doi:10.33029/0042-8833-2023-92-6-38-44
Role of Reactive C protein in Mediating the Effect of body mass index on bladder cancer DiseasesPreprint
Chen, J., Zuo, J., Shi, H., Li, X., Zhan, P., Wang, H., & Fu, S. (2024) · Research Square · doi:10.21203/rs.3.rs-3886434/v1
Toprak, K., & Ayaz, A. (2024) · Turkish Journal of Family Medicine & Primary Care · doi:10.21763/tjfmpc.1392271
Peng, H., Xie, X., Pan, X., Zheng, J., Zeng, Y., Cai, X., Hu, Z., & Peng, X. (2021) · Figshare · doi:10.6084/m9.figshare.14608975
Peng, H., Xie, X., Pan, X., Zheng, J., Zeng, Y., Cai, X., Hu, Z., & Peng, X. (2021) · Figshare · doi:10.6084/m9.figshare.14608984
Peng, H., Xie, X., Pan, X., Zheng, J., Zeng, Y., Cai, X., Hu, Z., & Peng, X. (2021) · Figshare · doi:10.6084/m9.figshare.14608981
Peng, H., Xie, X., Pan, X., Zheng, J., Zeng, Y., Cai, X., Hu, Z., & Peng, X. (2021) · Figshare · doi:10.6084/m9.figshare.14608978
Dietary Regimens: Whole Grains and Multiple Sclerosis
Abdulsamad, H. M. R., Baig, A., Aljoudi, S., Rabeh, N., Dimassi, Z., & Hamdan, H. (2024) · Nutritional neurosciences · doi:10.1007/978-981-97-4673-6_11
From Pasture to Plate: Investigating the Role of Bovine Sources in Multiple Sclerosis
Rabeh, N., Aljoudi, S., Dimassi, Z., Al-Ali, H. J., Alhosani, K. M., & Hamdan, H. (2024) · Nutritional neurosciences · doi:10.1007/978-981-97-4673-6_6
Hosseinpour‐Niazi, S., Mirmiran, P., Hadaegh, F., Daneshpour, M. S., Hedayati, M., & Azizi, F. (2022) · Figshare · doi:10.6084/m9.figshare.19793517
A metabolomic exploration of processed meat intake : dietary biomarkers and metabolic effects
Wedekind, R. (2020) · theses.fr (ABES) · doi:10.70675/9feb21c7z42f5z4b13z84edz05b650b15f0f
From fat to tumor: Exploring the inflammatory bridge via CRP in obesity-related bladder cancer
Chen, J., Zuo, J., Zhao, J., Zhu, X., Li, X. B., Zhan, P., Chen, P., Nie, Z., Fu, Y., Wang, H., et al. (2026) · Medicine · doi:10.1097/md.0000000000048851
Co-exposure to PFAS, PFAS alternatives, and metals and liver function in Chinese adults
Lu, S.-Y., Zhang, J.-L., Chen, N., Amjad, M., Zhang, Y.-T., He, W.-T., Liu, X., Chen, Y.-X., Zhou, J. M., Bao, W.-W., et al. (2026) · Environmental Pollution · doi:10.1016/j.envpol.2026.128327
Martins, L. B., Ranjbar, S., Strippoli, M. F., Lasserre, A. M., Marques-Vidal, P. M., Vuilleumier, S., Preisig, M., & Chatelan, A. (2026) · Journal of Affective Disorders · doi:10.1016/j.jad.2026.122116
Predictors of overweight and obesity among urban office workers in the Philippines
Oliveira, M. R. D. J. (2016) · doi:10.63201/nsep8898
Vahid, F., Doaei, S., & Bohn, T. (2026) · Nutrition Research · doi:10.1016/j.nutres.2026.09.002
Metadata
- Authors
- Montonen, J., Boeing, H., Fritsche, A., Schleicher, E., Joost, H.-G., Schulze, M. B., Steffen, A., & Pischon, T.
- Affiliations
- German Institute of Human Nutrition (DE)
- University of Tübingen (DE)
- Max Delbrück Center (DE)
- Corresponding author
- Steffen, Annika
- ORCID
- Venue
- European Journal of Nutrition
- Published
- 2012-03-18
- Volume
- 52
- Issue
- 1
- Pages
- 337-345
- ISSN
- 1436-6207 (ISSN-L)
- 1436-6215
- PMC
- PMC3549403
- OpenAlex
- W1982890062
- Cited by
- 234
- References
- 62
- Citations by year
- 2026: 5 · 2025: 4 · 2024: 15 · 2023: 12 · 2022: 27 · 2021: 26 · 2020: 19 · 2019: 19 · 2018: 17 · 2017: 21 · 2016: 12 · 2015: 27 · 2014: 17 · 2013: 11 · 2012: 2
- FWCI
- 17.60
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by
- Locations
- European Journal of Nutrition (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- MDC Repository (Max-Delbrueck-Center for Molecular Medicine) (submittedVersion)
- Funders
- Bundesministerium für Bildung und Forschung (0315381A)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Nutritional Studies and Diet
- Health Sciences › Nursing › Nutrition and Dietetics › Food composition and properties
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diet, Metabolism, and Disease
- Keywords
- red meat consumption, whole grain bread, obesity biomarkers, inflammation, glucose metabolism, oxidative stress, gamma-glutamyl transferase, alanine aminotransferase, high-sensitivity C-reactive protein, adiponectin, fetuin-A, HbA1c, HDL cholesterol, triglycerides, body mass index, waist circumference, diabetes risk
- MeSH terms
- Alanine Transaminase, Animals, Blood Glucose, Bread, C-Reactive Protein, Cardiovascular Diseases, Cattle, Edible Grain, Cross-Sectional Studies, Diet, Female, gamma-Glutamyltransferase, Glycated Hemoglobin, Humans, Inflammation, Life Style, Cholesterol, HDL, Male, Meat, Middle Aged, Obesity, Prospective Studies, Surveys and Questionnaires, Triglycerides, Biomarkers, Body Mass Index, Oxidative Stress, Adiponectin, Waist Circumference, alpha-2-HS-Glycoprotein
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review