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Amyloid beta and diabetic pathology cooperatively stimulate cytokine expression in an Alzheimer’s mouse model

Overview of attention for article published in Journal of Neuroinflammation, January 2020
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

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Title
Amyloid beta and diabetic pathology cooperatively stimulate cytokine expression in an Alzheimer’s mouse model
Published in
Journal of Neuroinflammation, January 2020
DOI 10.1186/s12974-020-1707-x
Pubmed ID
Authors

Sitara B. Sankar, Carmen Infante-Garcia, Laura D. Weinstock, Juan Jose Ramos-Rodriguez, Carmen Hierro-Bujalance, Cecilia Fernandez-Ponce, Levi B. Wood, Monica Garcia-Alloza

Abstract

Diabetes is a risk factor for developing Alzheimer's disease (AD); however, the mechanism by which diabetes can promote AD pathology remains unknown. Diabetes results in diverse molecular changes in the brain, including dysregulation of glucose metabolism and loss of cerebrovascular homeostasis. Although these changes have been associated with increased Aβ pathology and increased expression of glial activation markers in APPswe/PS1dE9 (APP/PS1) mice, there has been limited characterization, to date, of the neuroinflammatory changes associated with diabetic conditions. To more fully elucidate neuroinflammatory changes associated with diabetes that may drive AD pathology, we combined the APP/PS1 mouse model with either high-fat diet (HFD, a model of pre-diabetes), the genetic db/db model of type 2 diabetes, or the streptozotocin (STZ) model of type 1 diabetes. We then used a multiplexed immunoassay to quantify cortical changes in cytokine proteins. Our analysis revealed that pathology associated with either db/db, HFD, or STZ models yielded upregulation of a broad profile of cytokines, including chemokines (e.g., MIP-1α, MIP-1β, and MCP-1) and pro-inflammatory cytokines, including IL-1α, IFN-γ, and IL-3. Moreover, multivariate partial least squares regression analysis showed that combined diabetic-APP/PS1 models yielded cooperatively enhanced expression of the cytokine profile associated with each diabetic model alone. Finally, in APP/PS1xdb/db mice, we found that circulating levels of Aβ1-40, Aβ1-42, glucose, and insulin all correlated with cytokine expression in the brain, suggesting a strong relationship between peripheral changes and brain pathology. Altogether, our multiplexed analysis of cytokines shows that Alzheimer's and diabetic pathologies cooperate to enhance profiles of cytokines reported to be involved in both diseases. Moreover, since many of the identified cytokines promote neuronal injury, Aβ and tau pathology, and breakdown of the blood-brain barrier, our data suggest that neuroinflammation may mediate the effects of diabetes on AD pathogenesis. Therefore, strategies targeting neuroinflammatory signaling, as well as metabolic control, may provide a promising strategy for intervening in the development of diabetes-associated AD.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 83 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 17%
Student > Ph. D. Student 11 13%
Student > Master 8 10%
Student > Bachelor 5 6%
Other 4 5%
Other 13 16%
Unknown 28 34%
Readers by discipline Count As %
Medicine and Dentistry 14 17%
Biochemistry, Genetics and Molecular Biology 10 12%
Neuroscience 6 7%
Pharmacology, Toxicology and Pharmaceutical Science 4 5%
Nursing and Health Professions 2 2%
Other 15 18%
Unknown 32 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 February 2020.
All research outputs
#3,265,379
of 23,191,112 outputs
Outputs from Journal of Neuroinflammation
#646
of 2,674 outputs
Outputs of similar age
#79,994
of 451,477 outputs
Outputs of similar age from Journal of Neuroinflammation
#17
of 81 outputs
Altmetric has tracked 23,191,112 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,674 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has gotten more attention than average, scoring higher than 73% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 451,477 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 81 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.