&lt;p&gt;Astroglial Mechanisms Underlying Chronic Insomnia Disorder: A Clinical Study&lt;/p&gt;

Zhang, Ping; Li, Yingxue; Zhang, Zhe-Zhe; Yang, Ye; Rao, Ji-Xian; Xia, Lan; Li, Xueyan; Chen, Guihai; Wang, Fang

doi:10.2147/nss.s263528

Cited by 21 publications

(13 citation statements)

References 79 publications

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“…In addition, our previous study showed that CID patients had significantly increased serum levels of astrocyte biomarkers and we speculated that CID patients may have pathological changes in their astrocytes. 42 , 43 It is therefore possible that SAA, produced in the central or peripheral nervous system, could influence the development of insomnia symptoms by activating microglial cells and inducing proinflammatory cytokine production. It is important to note that this study only cross-sectionally investigated the levels of potential biomarkers in CID patients.…”

Section: Discussionmentioning

confidence: 99%

“…In addition, our previous study showed that CID patients had significantly increased serum levels of astrocyte biomarkers and we speculated that CID patients may have pathological changes in their astrocytes. 42,43 It is therefore possible that SAA, produced in the central or peripheral nervous system, could influence the development of insomnia symptoms by activating microglial https://doi.org/10.2147/NSS.S310698…”

Section: Discussionmentioning

confidence: 99%

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Relationships Between a Range of Inflammatory Biomarkers and Subjective Sleep Quality in Chronic Insomnia Patients: A Clinical Study

Xia¹,

Zhang²,

Niu³

et al. 2021

NSS

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Purpose To examine whether associations exist between chronic insomnia disorder (CID) and overlooked inflammatory factors (Serum amyloid protein A [SAA]), tumor necrosis factor [TNF]-α, granulocyte-macrophage colony-stimulating factor [GM-CSF], and regulated on activation and normal T cell expressed and presumably secreted [RANTES]). Patients and Methods A total of 65 CID patients and 39 sex- and age-matched good sleeper (GS) controls participated in this study. They completed a baseline survey to collect data on demographics, and were elevated sleep and mood by Pittsburgh Sleep Quality Index (PSQI), Athens Insomnia Scale (AIS), 17-item Hamilton Depression Rating Scale (HAMD-17) and 14-item Hamilton Anxiety Rating Scale (HAMA-14), respectively. The blood samples were collected and tested the serum levels of SAA, TNF-α, GM-CSF and RANTES. Results The CID group had higher serum levels of SAA, TNF-α, and GM-CSF and a lower level of RANTES than the GS group. In the Spearman correlation analysis, SAA and GM-CSF positively correlated with the PSQI and AIS scores. After controlling for sex, HAMD-17 score, and HAMA-14 score, the partial correlation analysis showed that GM-CSF was positively correlated with PSQI score. Further stepwise linear regression analyses showed that GM-CSF was positively associated with the PSQI and AIS scores, while RANTES was negatively associated with them, and SAA was positively associated with just the AIS score. Conclusion The serum levels of inflammatory mediators (SAA, TNF-α, and GM-CSF) were significantly elevated and the level of RANTES was significantly decreased in CID patients and, to some extent, the changes are related to the severity of insomnia. These findings may help us to improve interventions to prevent the biological consequences of CID by inhibiting inflammation, thereby promoting health.

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Section: Discussionmentioning

confidence: 99%

“…In addition, our previous study showed that CID patients had significantly increased serum levels of astrocyte biomarkers and we speculated that CID patients may have pathological changes in their astrocytes. 42,43 It is therefore possible that SAA, produced in the central or peripheral nervous system, could influence the development of insomnia symptoms by activating microglial https://doi.org/10.2147/NSS.S310698…”

Section: Discussionmentioning

confidence: 99%

Relationships Between a Range of Inflammatory Biomarkers and Subjective Sleep Quality in Chronic Insomnia Patients: A Clinical Study

Xia¹,

Zhang²,

Niu³

et al. 2021

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“… 59 Patients with chronic insomnia disorder exhibited increased GFAP serum levels, which could indicate some degree of astrocyte damage. 60 Mice with chronic sleep deprivation showed low-grade neuroinflammation, anxiogenic response and recognition memory impairment, accompanied by enhanced expression of GFAP in brain regions. 61 Consistent with these evidences, expression level of GFAP was negatively correlated with sleep health score in our PWAS results.…”

Section: Discussionmentioning

confidence: 99%

Genome-Wide Association Study and Genetic Correlation Scan Provide Insights into Its Genetic Architecture of Sleep Health Score in the UK Biobank Cohort

Yao¹,

Jia²,

Wen³

et al. 2022

NSS

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Most previous genetic studies of sleep behaviors were conducted individually, without comprehensive consideration of the complexity of various sleep behaviors. Our aim is to identify the genetic architecture and potential biomarker of the sleep health score, which more powerfully represents overall sleep traits. Patients and Methods: We conducted a genome-wide association study (GWAS) of sleep health score (overall assessment of sleep duration, snoring, insomnia, chronotype, and daytime dozing) using 336,463 participants from the UK Biobank. Proteome-wide association study (PWAS) and transcriptome-wide association study (TWAS) were then performed to identify candidate genes at the protein and mRNA level, respectively. We finally used linkage disequilibrium score regression (LDSC) to estimate the genetic correlations between sleep health score and other functionally relevance traits. Results: GWAS identified multiple variants near known candidate genes associated with sleep health score, such as MEIS1, FBXL13, MED20 and SMAD5. HDHD2 (P PWAS = 0.0146) and GFAP (P PWAS = 0.0236) were identified associated with sleep health score by PWAS. TWAS identified ORC4 (P TWAS = 0.0212) and ZNF732 (P TWAS = 0.0349) considering mRNA expression level. LDSC found significant genetic correlations of sleep health score with 3 sleep behaviors (including insomnia, snoring, dozing), 4 psychiatry disorders (major depressive disorder, attention deficit/hyperactivity disorder, schizophrenia, autism spectrum disorder), and 9 plasma protein (such as Stabilin-1, Stromelysin-2, Cytochrome c) (all LDSC P LDSC < 0.05). Conclusion: Our results advance the comprehensive understanding of the aetiology and genetic architecture of the sleep health score, refine the understanding of the relationship of sleep health score with other traits and diseases, and may serve as potential targets for future mechanistic studies of sleep phenotype.

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“…Thus, the relief/remission of their illness may not be accompanied by normalization of changed protein levels (damage of astrocytes structure may be a trait) (16). Subjects with CID also exhibit significantly lower levels of glial cell line-derived neurotrophic factor (GDNF) and brain-derived neurotrophic factor (BDNF) than healthy people (17). These findings strongly implicate astrocyte dysfunction in CID, but more evidence is needed to support this hypothesis (17).…”

Section: Introductionmentioning

confidence: 99%

“…Subjects with CID also exhibit significantly lower levels of glial cell line-derived neurotrophic factor (GDNF) and brain-derived neurotrophic factor (BDNF) than healthy people (17). These findings strongly implicate astrocyte dysfunction in CID, but more evidence is needed to support this hypothesis (17). Additional studies are needed to investigate other astrocyte-related markers to better understand the mechanism of CID.…”

Section: Introductionmentioning

confidence: 99%

Aquaporin-4, Connexin-30, and Connexin-43 as Biomarkers for Decreased Objective Sleep Quality and/or Cognition Dysfunction in Patients With Chronic Insomnia Disorder

Yang

Kong

et al. 2022

Front. Psychiatry

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ObjectivesTo examine serum concentrations of aquaporin-4 (AQP4), connexin-30 (CX30), connexin-43 (CX43), and their correlations with cognitive function in the patients with chronic insomnia disorder (CID).MethodsWe enrolled 76 subjects with CID and 32 healthy controls (HCs). Serum levels of AQP4, CX30, and CX43 were measured by enzyme-linked immunosorbent assays. Sleep quality was assessed with the Pittsburgh Sleep Quality Index (PSQI) and polysomnography, and mood was evaluated with 17-item Hamilton Depression Rating Scale and 14-item Hamilton Anxiety Rating Scale. Cognitive function was evaluated by the Chinese-Beijing Version of Montreal Cognitive Assessment (MoCA-C) and Nine Box Maze Test.ResultsThe serum levels of AQP4, CX43, and CX30 were significantly reduced in the CID group compared to the HCs. Partial correlation analysis showed that the biomarkers showed no significant correlations with PSQI score, AHI, ODI and TS90, but AQP4, CX43, and CX30 were positively associated with the percentage and total time of slow wave sleep in the CID group. Serum concentrations of AQP4 and CX30 were positively associated with MoCA-C score in the CID group, and AQP4 level negatively correlated with spatial working memory errors.ConclusionsSubjects with CID patients have decreased serum levels of AQP4, CX30, and CX43 indicating astrocyte dysfunction, which could be related to poor objective sleep quality and/or cognition dysfunction.

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<p>Astroglial Mechanisms Underlying Chronic Insomnia Disorder: A Clinical Study</p>

Cited by 21 publications

References 79 publications

Relationships Between a Range of Inflammatory Biomarkers and Subjective Sleep Quality in Chronic Insomnia Patients: A Clinical Study

Relationships Between a Range of Inflammatory Biomarkers and Subjective Sleep Quality in Chronic Insomnia Patients: A Clinical Study

Genome-Wide Association Study and Genetic Correlation Scan Provide Insights into Its Genetic Architecture of Sleep Health Score in the UK Biobank Cohort

Aquaporin-4, Connexin-30, and Connexin-43 as Biomarkers for Decreased Objective Sleep Quality and/or Cognition Dysfunction in Patients With Chronic Insomnia Disorder

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