The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Inflammation-Sensitive Plasma Proteins Are Associated With Future Weight Gain
Open accessAbstract
Cross-sectional studies have associated obesity and other components of the so-called metabolic syndrome with low-grade inflammation. The temporal and causal relations of this association have not been fully explored. This study explored whether elevated levels of inflammation-sensitive plasma proteins (ISPs) (fibrinogen, orosomucoid, α1-antitrypsin, haptoglobin, and ceruloplasmin) are associated with future weight gain. Five ISPs were measured in 2,821 nondiabetic healthy men (38–50 years of age) who were reexamined after a mean follow-up of 6.1 years. Future weight gain was studied in relation to the number of elevated ISPs (i.e., in the top quartile). The proportion with a large weight gain (75th percentile ≥3.8 kg) was 21.0, 25.9, 26.8, and 28.3%, respectively, among men with none, one, two, and three or more ISPs in the top quartile (P for trend 0.0005). This relation remained significant after adjustments for weight at baseline, follow-up time, height (at baseline and follow-up), physical inactivity (at baseline and follow-up), smoking (at baseline and follow-up), high alcohol consumption, and insulin resistance. The relations were largely similar for all individual ISPs. Elevated ISP levels predict a large weight gain in middle-aged men. This relation could contribute to the relation between inflammation, the metabolic syndrome, and cardiovascular disease.
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
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.
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
Matthews, D. R., Hosker, J. P., Rudenski, A. S., Naylor, B. A., Treacher, D. F., & Turner, R. C. (1985) · Diabetologia · doi:10.1007/bf00280883 · Cited by 31,502
Acute-Phase Proteins and Other Systemic Responses to Inflammation
Gabay, C., & Kushner, I. (1999) · New England Journal of Medicine · doi:10.1056/nejm199902113400607 · Cited by 6,734
Yudkin, J. S., Stehouwer, C. D. A., Emeis, J. J., & Coppack, S. W. (1999) · Arteriosclerosis, Thrombosis, and Vascular Biology · doi:10.1161/01.atv.19.4.972 · Cited by 2,465
The role of TNFα and TNF receptors in obesity and insulin resistance
Hotamisligil, G. S. (1999) · Journal of Internal Medicine · doi:10.1046/j.1365-2796.1999.00490.x · Cited by 780
Weight Loss Reduces C-Reactive Protein Levels in Obese Postmenopausal Women
Tchernof, A., Nolan, A., Sites, C. K., Ades, P. A., & Poehlman, E. T. (2002) · Circulation · doi:10.1161/hc0502.103331 · Cited by 541
Effects of Cortisol and Growth Hormone on Lipolysis in Human Adipose Tissue
Ottosson, M. (2000) · Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.85.2.799 · Cited by 64
Cited by
Adipokines: inflammation and the pleiotropic role of white adipose tissue
Trayhurn, P., & Wood, I. S. (2004) · British Journal of Nutrition · doi:10.1079/bjn20041213 · Cited by 2,210
Inflammation: the link between insulin resistance, obesity and diabetes
Dandona, P. (2004) · Trends in Immunology · doi:10.1016/j.it.2003.10.013 · Cited by 2,170
The role of adipose tissue dysfunction in the pathogenesis of obesity-related insulin resistance
Goossens, G. H. (2008) · Physiology & Behavior · doi:10.1016/j.physbeh.2007.10.010 · Cited by 591
Endocrine and signalling role of adipose tissue: new perspectives on fat
Trayhurn, P. (2005) · Acta Physiologica Scandinavica · doi:10.1111/j.1365-201x.2005.01468.x · Cited by 502
Obesity and diabetes as high‐risk factors for severe coronavirus disease 2019 (Covid‐19)
Zhou, Y., Chi, J., Lv, W., & Wang, Y. (2021) · Diabetes/Metabolism Research and Reviews · doi:10.1002/dmrr.3377 · Cited by 490
Metadata
- Authors
- Engström, G., Hedblad, B., Stavenow, L., Lind, P., Janzon, L., & Lindgärde, F.
- Venue
- Diabetes
- Publisher
- American Diabetes Association
- Published
- 2003-08-01
- Volume
- 52
- Issue
- 8
- Pages
- 2097-2101
- ISSN
- 0012-1797 (ISSN-L)
- 1939-327X
- OpenAlex
- W2171466491
- Cited by
- 249
- References
- 6
- FWCI
- 9.86
- Type
- journal article
- Language
- en
- Open access
- bronze
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Inflammation-Sensitive Plasma Proteins Are Associated With Future Weight Gain. https://app.cochat.ai/papers/10.2337/diabetes.52.8.2097
- The paper
- Engström, G., Hedblad, B., Stavenow, L., Lind, P., Janzon, L., & Lindgärde, F. (2003). Inflammation-Sensitive Plasma Proteins Are Associated With Future Weight Gain. Diabetes. https://doi.org/10.2337/diabetes.52.8.2097
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.