Evidence map›Paper›PMID 27049828›Full record

ArticleOncotarget2016

Neuroendocrine immunomodulation network dysfunction in SAMP8 mice and PrP-hAβPPswe/PS1ΔE9 mice: potential mechanism underlying cognitive impairment.

Jian-Hui Wang, Xiao-Rui Cheng, Xiao-Rui Zhang, Tong-Xing Wang, Wen-Jian Xu, Fei Li, Feng Liu, Jun-Ping Cheng, Xiao-Chen Bo, Sheng-Qi Wang and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.6field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. A young testicular microenvironment protects Leydig cells against age-related dysfunction in a mouse model of premature aging.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2019
    Article
  8. Review
  9. Article
  10. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 1 institution in 1 country.

Jian-Hui WangDepartment of Neuroimmunopharmacology, Beijing Institute of Pharmacology and Toxicology, Beijing, China.
Xiao-Rui ChengDepartment of Neuroimmunopharmacology, Beijing Institute of Pharmacology and Toxicology, Beijing, China.
Xiao-Rui ZhangDepartment of Neuroimmunopharmacology, Beijing Institute of Pharmacology and Toxicology, Beijing, China.
Tong-Xing WangDepartment of Neuroimmunopharmacology, Beijing Institute of Pharmacology and Toxicology, Beijing, China.
Wen-Jian XuDepartment of Biotechnology, Beijing Institute of Radiation Medicine, Beijing, China.
Fei LiDepartment of Biotechnology, Beijing Institute of Radiation Medicine, Beijing, China.
Feng LiuDepartment of Neuroimmunopharmacology, Beijing Institute of Pharmacology and Toxicology, Beijing, China.
Jun-Ping ChengDepartment of Neuroimmunopharmacology, Beijing Institute of Pharmacology and Toxicology, Beijing, China.
Xiao-Chen BoDepartment of Biotechnology, Beijing Institute of Radiation Medicine, Beijing, China.
Sheng-Qi WangDepartment of Biotechnology, Beijing Institute of Radiation Medicine, Beijing, China.
Wen-Xia ZhouDepartment of Neuroimmunopharmacology, Beijing Institute of Pharmacology and Toxicology, Beijing, China.
Yong-Xiang ZhangDepartment of Neuroimmunopharmacology, Beijing Institute of Pharmacology and Toxicology, Beijing, China.
Beijing Radiation Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Senescence-accelerated mouse prone 8 strain (SAMP8) and PrP-hAβPPswe/PS1ΔE9 (APP/PS1) mice are classic animal models of sporadic Alzheimer's disease and familial AD respectively. Our study showed that object recognition memory, spatial learning and memory, active and passive avoidance were deteriorated and neuroendocrine immunomodulation (NIM) network was imbalance in SAMP8 and APP/PS1 mice. SAMP8 and APP/PS1 mice had their own specific phenotype of cognition, neuroendocrine, immune and NIM molecular network. The endocrine hormone corticosterone, luteinizing hormone and follicle-stimulating hormone, chemotactic factor monocyte chemotactic protein-1, macrophage inflammatory protein-1β, regulated upon activation normal T cell expressed and secreted factor and eotaxin, pro-inflammatory factor interleukin-23, and the Th1 cell acting as cell immunity accounted for cognitive deficiencies in SAMP8 mice, while adrenocorticotropic hormone and gonadotropin-releasing hormone, colony stimulating factor granulocyte colony stimulating factor, and Th2 cell acting as humoral immunity in APP/PS1 mice. On the pathway level, chemokine signaling and T cell receptor signaling pathway played the key role in cognition impairments of two models, while cytokine-cytokine receptor interaction and natural killer cell mediated cytotoxicity were more important in cognitive deterioration of SAMP8 mice than APP/PS1 mice. This mechanisms of NIM network underlying cognitive impairment is significant for further understanding the pathogenesis of AD and can provide useful information for development of AD therapeutic drug.

Indexed as

Disease Models, AnimalGene Regulatory NetworksAlzheimer DiseaseAmyloid beta-Protein PrecursorAnimalsBehavior, AnimalCellular SenescenceCognitive DysfunctionHumansImmunomodulationMaleMiceMice, TransgenicNeurosecretory SystemsPresenilin-1Amyloid beta-Protein PrecursorPresenilin-1Alzheimer's diseaseGerotargetlearning and memoryneuroendocrine immunomodulationPrPhAβPPswe/PS1ΔE9 (APP/PS1) micesenescence-accelerated mouse prone 8 strain (SAMP8)

Identifiers

PMID27049828
PMCPMC5029605
OpenAlexW2330014262

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.