Alterations of IGF-1, complement C3 and superoxide dismutase in patients with moderate-to-severe obstructive sleep apnea hypopnea syndrome

Tandem Mass Tag-Labeled Quantitative Proteome Analyses Identify C1R and A2M as Novel Serum Biomarkers in Pregnant Women with Obstructive Sleep Apnea

The aim of this study was to identify serum diagnostic biomarkers associated with the severity of obstructive sleep apnea (OSA) during pregnancy. Differentially expressed proteins (DEPs) were identified in the control (C), mild (O), and moderate (MO) OSA groups (n = 3 in each group). Bioinformatics analysis was conducted to identify the underlying functions, pathways, and networks of the proteins. Receiver operating characteristic curves were used to assess the diagnostic value of the identified DEPs. The enzyme-linked immunoassay was performed to detect serum levels of the complement C1r subcomponent (C1R) and alpha-2-macroglobulin (A2M) in 79 pregnant women with OSA (mild OSA [n = 32]; moderate OSA [n = 29], and severe OSA [n = 18]) and 65 healthy pregnant women without OSA. Pearson's correlation analysis was conducted to analyze the correlation between C1R and A2M levels and OSA clinicopathological factors. In total, 141 DEPs, 29 DEPs, and 103 DEPs were identified in the three groups (i.e., the mild OSA vs control group, the moderate OSA vs mild apnea group, and the moderate OSA vs control group, respectively). C1R and A2M were identified as continuously up-regulated proteins, and the levels of C1R and A2M were associated with OSA severity. C1R and A2M were found to be correlated with body mass index, systolic blood pressure, apnea-hypopnea index, oxygen desaturation index, time with saturation below 90%, and lowest SaO2. Adverse maternal and neonatal outcomes were observed in pregnant women with OSA. C1R and A2M have been identified as diagnostic biomarkers and are associated with the severity of OSA during pregnancy.

Changes of Serum Adiponectin Level in Patients with Obstructive Sleep Apnea Hypopnea Syndrome and Its Relationship with Sleep Monitoring Indexes

Objective

To observe the changes of serum adiponectin (AP) levels in patients with obstructive sleep apnea hypopnea syndrome (OSAHS) and explore the correlation between serum AP and polysomnography (PSG) parameters in patients with OSAHS.

Methods

The data of subjects who underwent PSG at the hospital between January 2021 and December 2022 were collected retrospectively and divided into simple snoring group (AHI < 5 times/h, n = 45), mild OSAHS group (5 ≤ AHI < 15 times/h, n = 63), moderate OSAHS group (15 ≤ AHI ≤ 30 times/h, n = 52), and severe OSAHS group (AHI > 30 times/h, n = 60). The general data, PSG indices, and serological indices of the subjects were collected and compared between groups. Pearson correlation analysis and partial correlation analysis were employed to examine the correlation between serum AP level and PSG parameters. Ordered logistic regression was employed to analyze the risk factors influencing the severity of OSAHS. The predictive capability of the serum AP level in determining the occurrence of OSAHS was assessed using ROC. The serum AP levels of subjects with different subtypes of PSG indicators were compared.

Results

In the simple snoring group, mild OSAHS group, moderate OSAHS group, and severe OSAHS group, there were statistically significant differences in microarousal count, MAI, AHI, times of blood oxygen decreased by ≥ 3%, L-SaO2, and TS90% among the 4 groups (P < 0.05). The level of serum AP was positively correlated with L-SaO2 and negatively correlated with the proportion of REM, microarousal count, MAI, AHI, times of blood oxygen decreased by ≥ 3%, TS90%, and LP (P < 0.05). High AHI was a risk factor affecting the severity of OSAHS (95% CI: 1.446-4.170). The AUC of serum AP level in diagnosing OSAHS was 0.906 (95% CI: 0.8601-0.9521), and when the Youden Index was 0.678, the sensitivity was 88.9%, and the specificity was 78.9% (P < 0.0001). In the population with a high microarousal count, high AHI, and high times of blood oxygen decreased by ≥ 3% and high TS90%, the serum AP level was lower than that in the low-level population (P < 0.05). In the population with high L-SaO2, the serum AP level was higher than that in low-level population (P < 0.05).

Conclusion

The level of serum AP decreased with the increase of the disease severity of patients with OSAHS and demonstrates a significant predictive capability for the occurrence of OSAHS. Monitoring the level of serum AP can effectively forecast the risk of OSAHS. Furthermore, alterations in serum AP levels are associated with both hypoxemia and a heightened frequency of arousal in patients with OSAHS.

Effect of Avian Influenza Virus subtype H9N2 on the expression of complement-associated genes in chicken erythrocytes

The H9N2 subtype avian influenza virus can infect both chickens and humans. Previous studies have reported a role for erythrocytes in immunity. However, the role of H9N2 against chicken erythrocytes and the presence of complement-related genes in erythrocytes has not been studied. This research investigated the effect of H9N2 on complement-associated gene expression in chicken erythrocytes. The expression of complement-associated genes (C1s, C1q, C2, C3, C3ar1, C4, C4a, C5, C5ar1, C7, CD93 and CFD) was detected by reverse transcription-polymerase chain reaction (RT-PCR). Quantitative Real-Time PCR (qRT-PCR) was used to analyse the differential expression of complement-associated genes in chicken erythrocytes at 0 h, 2 h, 6 h and 10 h after the interaction between H9N2 virus and chicken erythrocytes in vitro and 3, 7 and 14 d after H9N2 virus nasal infection of chicks. Expression levels of C1q, C4, C1s, C2, C3, C5, C7 and CD93 were significantly up-regulated at 2 h and significantly down-regulated at 10 h. Gene expression levels of C1q, C3ar1, C4a, CFD and C5ar1 were seen to be different at each time point. The expression levels of C1q, C4, C1s, C2, C3, C5, C7, CFD, C3ar1, C4a and C5ar1 were significantly up-regulated at 7 d and the gene expression of levels of C3, CD93 and C5ar1 were seen to be different at each time point. The results confirmed that all the complement-associated genes were expressed in chicken erythrocytes and showed the H9N2 virus interaction with chicken erythrocytes and subsequent regulation of chicken erythrocyte complement-associated genes expression. This study reported, for the first time, the relationship between H9N2 and complement system of chicken erythrocytes, which will provide a foundation for further research into the prevention and control of H9N2 infection.

Role of IGF-1 in neuroinflammation and cognition deficits induced by sleep deprivation

Sleep deprivation negatively influences cognition, however, the regulatory mechanisms to counteract this effect have not been identified. IGF-1 has been shown to be anti-inflammatory and neuroprotective in CNS injury models. In this study, we determined the impact of IGF-1 on brain injury and inflammation while modeling sleep deprivation. We found that IGF-1 was downregulated in human peripheral blood and in mice subjected to sleep deprivation for 5 days, with reduced activation of the downstream PI3K/AKT/GSK-3β pathway in mice brains. In addition, we found reduced levels of the anti-apoptosis enzyme Bcl-2 and increased levels of pro-apoptosis enzyme Caspase-9 expression, together with increased pro-inflammatory factors. The administration of IGF-1 after sleep deprivation induced activation of the PI3K/AKT/GSK-3β pathway, reversed changes in Bcl-2, Caspase-9, and pro-inflammatory factors, and alleviated cognitive impairment. Notably, IGF-1 also induced activation of the PI3K/AKT/GSK-3β pathway, and displayed anti-apoptosis and anti-inflammatory properties under normal sleep conditions,while IGF-1 did not improve the cognition under normal sleep conditions. These results suggest that the IGF-1/PI3K/AKT/GSK-3β pathway is involved in the regulation of cognitive function after sleep deprivation through modulation of apoptosis and inflammatory response. IGF-1 could be a viable therapeutic target, though further investigation is required to better understand its role in sleep deprivation.

The correlation of serum/plasma IGF-1 concentrations with obstructive sleep apnea hypopnea syndrome: A meta-analysis and meta-regression

BACKGROUND

Obstructive sleep apnea hypopnea syndrome (OSAHS) is a common disease that has serious cardiovascular and metabolic effects. Insulin-like growth factor 1 (IGF-1) levels are reportedly reduced in patients with OSAHS; however, this is still a matter of debate. Therefore, we investigated the association between serum/plasma IGF-1 levels and OSAHS in this meta-analysis.

METHODS

Wan Fang, Excerpta Medica dataBASE, Web of Science, China National Knowledge Infrastructure, VIP, PubMed, and other databases were searched for materials published in any language before April 2, 2022. Two researchers analyzed the studies for quality according to the Newcastle-Ottawa Scale. The acquired data were analyzed using Stata 11.0 and R 3.6.1 software. The effect size was estimated and calculated using standard mean differences and correlation coefficients. Moreover, a combined analysis was conducted using either a random- or fixed-effects model.

RESULTS

Ultimately, 34 studies met our inclusion criteria. Our findings revealed that the plasma/serum IGF-1 concentrations in patients with OSAHS was significantly reduced compared with those in healthy subjects. Subgroup analyses were performed according to OSAHS severity, ethnicity, age, body mass index, specimen testing method, and study design. The outcomes suggested that nearly all subgroups of patients with OSAHS had reduced serum IGF-1 levels. Disease severity and differences in ethnicity were identified as possible influencing factors of serum IGF-1 levels in patients with OSAHS in the meta-regression analysis, and no other factors were found to alter plasma/serum IGF-1 concentrations. Moreover, plasma/serum IGF-1 concentrations were negatively correlated with apnea-hypopnea index and oxygen desaturation index scores and positively associated with minimum oxygen saturation.

CONCLUSION

Serum/plasma IGF-1 concentrations in patients with OSAHS were greatly reduced compared with those of patients in the control group, and were negatively correlated with apnea-hypopnea index and oxygen desaturation index scores and positively correlated with minimum oxygen saturation.

SYSTEMATIC REVIEW REGISTRATION

https://www.crd.york.ac.uk/PROSPERO/, identifier CRD42022322738.

Association between the circulating superoxide dismutase and obstructive sleep apnea: a meta-analysis

PURPOSE

Although it has been reported that superoxide dismutase (SOD) is related to obstructive sleep apnea (OSA), the results are controversial. In addition, the effects of the continuous positive airway pressure (CPAP) treatment on SOD levels are also inconsistent. The primary purpose of the present meta-analysis is to determine the relationship between the circulating SOD levels and OSA.

METHODS

The studies included in this meta-analysis were selected from the PubMed, Embase, Cochrane Library, and Scopus databases. Two researchers independently reviewed the studies. Data analysis was performed using Stata 15.1. The overall effects were measured using the standardized mean difference (SMD) with a 95% confidence interval (CI). A random-effects model or a fixed-effects model was used, depending on the heterogeneity of the studies.

RESULTS

A total of 14 studies were included, comprising 1240 patients and 457 controls. The results showed that the circulating SOD levels of the patients with OSA were significantly lower than that of the control group (SMD = - 1.645, 95% CI = - 2.279 to - 1.011, P < 0.001). We also studied changes in the circulating SOD levels in patients with OSA after the CPAP treatment. No significant difference was observed in the circulating SOD levels after the CPAP treatment (SMD = - 0.028, 95% CI = - 0.218 to 0.162, P = 0.772).

CONCLUSION

The results suggested that patients with OSA have reduced levels of SOD and were related to disease severity. The results also indicated that circulating SOD levels may be a reliable marker for detecting systemic oxidative stress in patients with OSA. However, the circulating SOD levels were not affected by the short-term (4-12 weeks) CPAP treatment. Therefore, further large-scale, well-designed randomized controlled trials with a longer CPAP therapy (more than 6 months preferably) and good adherence to the treatment are needed to investigate this issue.

Circulating levels of clusterin and complement factor H in patients with obstructive sleep apnea

Aim: Obstructive sleep apnea (OSA) activates the complement system; however, the levels of membrane attack complex (MAC) are unaltered suggesting regulatory mechanisms. Our aim was to investigate complement factor H (CFH) and clusterin, two important complement regulators in OSA. Materials & methods: We analyzed clusterin and CFH levels in plasma of 86 patients with OSA and 33 control subjects. Results: There was no difference in CFH levels between patients (1099.4/784.6-1570.5/μg/ml) and controls (1051.4/652.0-1615.1/μg/ml, p = 0.72). Clusterin levels were higher in patients with OSA (309.7/217.2-763.2/μg/ml vs 276.1/131.0-424.3/μg/ml, p = 0.048) with a trend for a positive correlation with disease severity (p = 0.073). Conclusion: Increase in clusterin levels may be protective in OSA by blocking the MAC formation.

Machine and Deep Learning in Molecular and Genetic Aspects of Sleep Research

Epidemiological sleep research strives to identify the interactions and causal mechanisms by which sleep affects human health, and to design intervention strategies for improving sleep throughout the lifespan. These goals can be advanced by further focusing on the environmental and genetic etiology of sleep disorders, and by development of risk stratification algorithms, to identify people who are at risk or are affected by, sleep disorders. These studies rely on comprehensive sleep-related data which often contains complex multi-dimensional physiological and molecular measurements across multiple timepoints. Thus, sleep research is well-suited for the application of computational approaches that can handle high-dimensional data. Here, we survey recent advances in machine and deep learning together with the availability of large human cohort studies with sleep data that can jointly drive the next breakthroughs in the sleep-research field. We describe sleep-related data types and datasets, and present some of the tasks in the field that can be targets for algorithmic approaches, as well as the challenges and opportunities in pursuing them.