PPARγ Pro12Ala and His447His polymorphisms and susceptibility to Alzheimer’s disease: a meta-analysis

Lee, Young Ho; Song, Gwan Gyu

doi:10.4238/2015.june.29.18

Cited by 2 publications

(2 citation statements)

References 24 publications

(34 reference statements)

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“…Similarly, in the second study case, we found that the differentially expressed (such as VDR [ 60 ], SP1 [ 61 ], CREB1 [ 62 ], and RELB [ 63 ]) and the non-differentially expressed (such as ESR1 [ 64 ], PPARG [ 65 ], ESR2 [ 66 ], and PPARD [ 67 ]) genes are AD-related genes. Besides this, we also found that some of the hub nodes in the network are not included in the AD-related gene dataset, such as the differentially expressed genes RXRA , STAT3 , STAT1 , PSMD14 , and so forth, and the non-differentially expressed HNF4A , PGR , ESRRA , THRB , and so forth, which are worth paying more attention to in further study.…”

Section: Discussionmentioning

confidence: 78%

Knowledge-Based Neuroendocrine Immunomodulation (NIM) Molecular Network Construction and Its Application

Wang¹,

Han²,

Zhang³

et al. 2018

Molecules

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Growing evidence shows that the neuroendocrine immunomodulation (NIM) network plays an important role in maintaining and modulating body function and the homeostasis of the internal environment. The disequilibrium of NIM in the body is closely associated with many diseases. In the present study, we first collected a core dataset of NIM signaling molecules based on our knowledge and obtained 611 NIM signaling molecules. Then, we built a NIM molecular network based on the MetaCore database and analyzed the signaling transduction characteristics of the core network. We found that the endocrine system played a pivotal role in the bridge between the nervous and immune systems and the signaling transduction between the three systems was not homogeneous. Finally, employing the forest algorithm, we identified the molecular hub playing an important role in the pathogenesis of rheumatoid arthritis (RA) and Alzheimer’s disease (AD), based on the NIM molecular network constructed by us. The results showed that GSK3B, SMARCA4, PSMD7, HNF4A, PGR, RXRA, and ESRRA might be the key molecules for RA, while RARA, STAT3, STAT1, and PSMD14 might be the key molecules for AD. The molecular hub may be a potentially druggable target for these two complex diseases based on the literature. This study suggests that the NIM molecular network in this paper combined with the forest algorithm might provide a useful tool for predicting drug targets and understanding the pathogenesis of diseases. Therefore, the NIM molecular network and the corresponding online tool will not only enhance research on complex diseases and system biology, but also promote the communication of valuable clinical experience between modern medicine and Traditional Chinese Medicine (TCM).

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Section: Discussionmentioning

confidence: 78%

Knowledge-Based Neuroendocrine Immunomodulation (NIM) Molecular Network Construction and Its Application

Wang¹,

Han²,

Zhang³

et al. 2018

Molecules

View full text Add to dashboard Cite

show abstract

“…In addition, emerging evidence suggests that PPARγ effectively regulates microglia activation under physiological and pathological conditions, facilitating Aβ microglial phagocytosis [53]. In addition, PPARγ polymorphisms have been studied in AD; however, the results are controversial and inconclusive [54].…”

Section: Peroxisome Proliferator-activated γ Receptormentioning

confidence: 99%

Alzheimer’s Disease Neuroprotection: Associated Receptors

Câmara¹

2020

Neuroprotection - New Approaches and Prospects

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Research with humans and animals has been developed over the past few years to identify receptors involved in Alzheimer's disease, aiming at a better understanding of the mechanisms and pathophysiological aspects associated with the disease. Such receptors, whether or not directly associated with current AD therapy, are relevant since their blockage or activation might result in improving or worsening the clinical scenario of the disease. In other words, such receptors might be involved in the AD prognosis. This chapter discusses some relevant points about the receptors involved with AD.

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PPARγ Pro12Ala and His447His polymorphisms and susceptibility to Alzheimer’s disease: a meta-analysis

Cited by 2 publications

References 24 publications

Knowledge-Based Neuroendocrine Immunomodulation (NIM) Molecular Network Construction and Its Application

Knowledge-Based Neuroendocrine Immunomodulation (NIM) Molecular Network Construction and Its Application

Alzheimer’s Disease Neuroprotection: Associated Receptors

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