The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
Mid‐life adiposity factors relate to blood–brain barrier integrity in late life
Open accessAbstract
Abstract. Gustafson DR, Karlsson C, Skoog I, Rosengren L, Lissner L, Blennow K (Gothenburg University, Gothenburg, Sweden; and Medical College of Wisconsin, Milwaukee, WI, USA). Mid‐life adiposity factors relate to blood–brain barrier integrity in late life. J Intern Med 2007; 262: 643–650. Objective. We explored the relationship between adiposity factors measured during mid‐life and blood–brain barrier (BBB) integrity measured via the cerebrospinal fluid/serum (CSF/S) albumin ratio in late life. Adiposity factors included body mass index and blood levels of sex hormone binding globulin (SHBG) and leptin. Design. Retrospective analyses over 24 years within a longitudinal study. Setting. Population‐based sample. Subjects. Eighty‐one women. Main outcome measures. CSF/S albumin ratio. Results. The CSF/S albumin ratio measured at age 70–84 years was higher amongst women who were overweight or obese (6.50 ± 2.79 vs. 5.23 ± 1.61, age‐adjusted P = 0.012), and was inversely correlated with SHBG (age‐adjusted r = −0.321, P < 0.005) at age 46–60 years. In stepwise regression models, SHBG predicted the CSF/S albumin ratio (beta = −0.017, R2 = 0.107, P = 0.007). The best model (R2 = 0.187) predicting CSF/S albumin ratio included SHBG, age group (age 46 years versus >46), overweight or obesity, and an age group by SHBG interaction. Conclusions. Lower levels of SHBG in mid‐life were related to worse BBB integrity in women after 24 years in late life, even considering other adiposity factors. SHBG may be important for understanding sex hormone‐mediated mechanisms in brain health or as an independent marker of adipose tissue, the largest endocrine organ.
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.
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?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Body mass index measured in midlife is more strongly associated with VCI, whereas body weight measured later in life has an inverse association with cognitive impairment, where obesity is associated with a lower risk of dementia.320”
From Vascular Contributions to Cognitive Impairment and Dementia: A Statement for Healthcare Professionals From the American Heart Association/American Stroke Association (2011) · cites this paper as [320]
Experimental — accuracy not yet measured
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
Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975) · Journal of Psychiatric Research · doi:10.1016/0022-3956(75)90026-6 · Cited by 88,282
Positional cloning of the mouse obese gene and its human homologue
Zhang, Y., Proenca, R., Maffei, M., Barone, M., Leopold, L., & Friedman, J. M. (1994) · Nature · doi:10.1038/372425a0 · Cited by 13,419
Diagnostic and Statistical Manual of Mental Disorders
&NA; (1988) · Alzheimer Disease & Associated Disorders · doi:10.1097/00002093-198802020-00022 · Cited by 12,603
Overweight, obesity, and mortality from cancer in a prospectively studied cohort of U.S. Adults
Calle, E. E., Rodriguez, C., Walker-Thurmond, K., & Thun, M. J. (2003) · New England Journal of Medicine · doi:10.1056/nejmoa021423 · Cited by 7,696
Leptin and the regulation of body weight in mammals
Friedman, J. M., & Halaas, J. L. (1998) · Nature · doi:10.1038/27376 · Cited by 5,405
Maffei, M., Halaas, J., Ravussin, E., Pratley, R. E., Lee, G. H., Zhang, Y., Fei, H., Kim, S., Lallone, R., Ranganathan, S., et al. (1995) · Nature Medicine · doi:10.1038/nm1195-1155 · Cited by 3,725
Blennow, K., de Leon, M. J., & Zetterberg, H. (2006) · The Lancet · doi:10.1016/s0140-6736(06)69113-7 · Cited by 3,134
Self-citationDing, E. L., Song, Y., Malik, V. S., & Liu, S. (2006) · JAMA · doi:10.1001/jama.295.11.1288 · Cited by 1,354
A COMPREHENSIVE PSYCHOPATHOLOGICAL RATING SCALE
Åsberg, M., Montgomery, S., Perris, C., Schalling, D., & Sedvall, G. (1978) · Acta Psychiatrica Scandinavica · doi:10.1111/j.1600-0447.1978.tb02357.x · Cited by 1,327
Obesity and Vascular Risk Factors at Midlife and the Risk of Dementia and Alzheimer Disease
Kivipelto, M., Ngandu, T., Fratiglioni, L., Viitanen, M., Kåreholt, I., Winblad, B., Helkala, E.-L., Tuomilehto, J., Soininen, H., & Nissinen, A. (2005) · Archives of Neurology · doi:10.1001/archneur.62.10.1556 · Cited by 1,291
Research works printed but not linked: 2
- 10.1210/jc.80.5.1591 · DOI
- 10.1042/BST20051029 · DOI · Paper page
Cited by
Sorted by citations
Gorelick, P. B., Scuteri, A., Black, S. E., DeCarli, C., Greenberg, S. M., Iadecola, C., Launer, L. J., Laurent, S., Lopez, O. L., Nyenhuis, D., et al. (2011) · Stroke · doi:10.1161/str.0b013e3182299496 · Cited by 3,811
Western diet consumption and cognitive impairment: Links to hippocampal dysfunction and obesity
Kanoski, S. E., & Davidson, T. L. (2010) · Physiology & Behavior · doi:10.1016/j.physbeh.2010.12.003 · Cited by 710
Dominguez, L. J., Veronese, N., Vernuccio, L., Catanese, G., Inzerillo, F., Salemi, G., & Barbagallo, M. (2021) · Nutrients · doi:10.3390/nu13114080 · Cited by 433
Obesity and cognitive decline: role of inflammation and vascular changes
Nguyen, J. C. D., Killcross, S., & Jenkins, T. A. (2014) · Frontiers in Neuroscience · doi:10.3389/fnins.2014.00375 · Cited by 440
Impact of Metabolic Syndrome on Neuroinflammation and the Blood–Brain Barrier
Dyken, P. C. V., & Lacoste, B. (2018) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00930 · Cited by 377
Metadata
- Authors
- Gustafson, D. R., Karlsson, C., Skoog, I., Rosengren, L., Lissner, L., & Blennow, K.
- Affiliations
- Medical College of Wisconsin (US)
- University of Gothenburg (SE)
- Corresponding author
- Gustafson, D. R.
- Venue
- Journal of Internal Medicine
- Publisher
- Wiley
- Published
- 2007-11-15
- Volume
- 262
- Issue
- 6
- Pages
- 643-650
- ISSN
- 0954-6820 (ISSN-L)
- 1365-2796
- OpenAlex
- W1563616747
- Cited by
- 107
- References
- 48
- Citations by year
- 2026: 3 · 2025: 5 · 2024: 7 · 2023: 5 · 2022: 7 · 2021: 12 · 2020: 8 · 2019: 13 · 2018: 4 · 2017: 8 · 2016: 6 · 2015: 7 · 2014: 6 · 2013: 3 · 2012: 3
- FWCI
- 1.49
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Internal Medicine (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Alzheimer's Association (ZEN‐01‐3151, IIRG‐00‐2159)
- Forskningsrådet för Arbetsliv och Socialvetenskap (ZEN-01-3151, IIRG-00-2159)
- Vetenskapsrådet (11267)
- Swedish Brain Power (11267)
- National Institutes of Health (1r03ag026098-01a1)
- National Institute on Aging (1R03AG026098)
- Topics
- Life Sciences › Neuroscience › Neurology › Barrier Structure and Function Studies
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Adipokines, Inflammation, and Metabolic Diseases
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Menopause: Health Impacts and Treatments
- Keywords
- blood-brain barrier integrity, CSF/serum albumin ratio, sex hormone-binding globulin, leptin, body mass index, obesity, overweight, women, aging, sex hormones, brain health
- MeSH terms
- Aged, Aged, 80 and over, Albumins, Blood-Brain Barrier, Female, Humans, Middle Aged, Obesity, Retrospective Studies, Serum Albumin, Sex Hormone-Binding Globulin, Biomarkers, Linear Models, Leptin, Overweight
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