Multiomics analysis of human peripheral blood reveals marked molecular profiling changes caused by one night of sleep deprivation

Ckip-1 3'UTR alleviates prolonged sleep deprivation induced cardiac dysfunction by activating CaMKK2/AMPK/cTNI pathway

Sleep deprivation (SD) has emerged as a critical concern impacting human health, leading to significant damage to the cardiovascular system. However, the underlying mechanisms are still unclear, and the development of targeted drugs is lagging. Here, we used mice to explore the effects of prolonged SD on cardiac structure and function. Echocardiography analysis revealed that cardiac function was significantly decreased in mice after five weeks of SD. Real-time quantitative PCR (RT-q-PCR) and Masson staining analysis showed that cardiac remodeling marker gene Anp (atrial natriuretic peptide) and fibrosis were increased, Elisa assay of serum showed that the levels of creatine kinase (CK), creatine kinase-MB (CK-MB), ANP, brain natriuretic peptide (BNP) and cardiac troponin T (cTn-T) were increased after SD, suggesting that cardiac remodeling and injury occurred. Transcript sequencing analysis indicated that genes involved in the regulation of calcium signaling pathway, dilated cardiomyopathy, and cardiac muscle contraction were changed after SD. Accordingly, Western blotting analysis demonstrated that the cardiac-contraction associated CaMKK2/AMPK/cTNI pathway was inhibited. Since our preliminary research has confirmed the vital role of Casein Kinase-2 -Interacting Protein-1 (CKIP-1, also known as PLEKHO1) in cardiac remodeling regulation. Here, we found the levels of the 3' untranslated region of Ckip-1 (Ckip-1 3'UTR) decreased, while the coding sequence of Ckip-1 (Ckip-1 CDS) remained unchanged after SD. Significantly, adenovirus-mediated overexpression of Ckip-1 3'UTR alleviated SD-induced cardiac dysfunction and remodeling by activating CaMKK2/AMPK/cTNI pathway, which proposed the therapeutic potential of Ckip-1 3'UTR in treating SD-induced heart disease.

A combined effect of fish-originated collagen peptides and caffeine on the cognitive function of sleep-deprived mice

Refreshing beverages, consumed worldwide, commonly take advantage of caffeine's impacts on attention and motor performance. However, excessive long-term caffeine intake might disturb sleep/wake rhythms and exacerbate daily anxiety. Fish-originated collagen peptides (FCP) are of high nutrient value with stimulating, calming or relaxing effects, which could reduce the excitotoxicity of caffeine. This study aims to investigate two facets: (1) the combined effect of caffeine and FCP (namely C&F) on the cognitive function of sleep-deprived mice by different administration strategies with dose dependence (low and high dose) or time dependence (intervention in a day and prevention for a week); (2) the potential "microbiota-gut-brain" mechanism by which C&F improves sleep deprivation (SD)-induced cognitive impairments. Here, C57BL/6 mice were administered caffeine (10 or 20 mg per kg per bw) combined with FCP (100 or 200 mg per kg per bw) and were then subjected to 48 h SD. The open-field and Morris water maze tests were performed to evaluate the cognitive function and spatial learning capacities of mice. Our results indicated that the cognitive impairments of SD mice were significantly relieved to a different degree by treating C&F in a dose- and time-dependent manner. The pathological observation of the hippocampus indicated both intervention (time of a day) and prevention (time of a week) of the C&F protected brain tissue from SD-induced injuries. The accumulated pro-inflammatory neurometabolites and factors were significantly inhibited by C&F via the hypothalamus-hippocampal circuit. Furthermore, 16S rDNA analysis of colonic contents showed that the level of Lactobacillus murinus was significantly upregulated and that of Clostridia_UCG-014 was suppressed in the C&F group. The receiver operating characteristic (ROC) curve of Lactobacillus murinus indicated a certain diagnostic utility to distinguish C&F intervention (AUC = 0.52) or prevention (AUC = 0.68). Pathways of ko04622 (immune system) and ko00472 (metabolism processes) were significantly regulated by C&F in a time-dependent manner. Based on PICRUSt2 algorithm analysis, C&F might potentially regulate gut microbial functions through several metabolic pathways, including the RIG-I-like receptor signaling pathway and limonene and pinene degradation. In conclusion, C&F plays a key role in brain function and behavior, which could synergistically relieve cognitive impairments via the microbiota-gut-brain axis.

Chlorogenic acid improves the cognitive deficits of sleep-deprived mice via regulation of immunity function and intestinal flora

BACKGROUND

Sleep deprivation (SD) has become a global health concern with serious consequences containing memory deficits and gastrointestinal dysfunctions. The gut-brain axis serves as a crucial link between the brain and gut, and the utilization of chlorogenic acid (CGA) presents a compelling strategy for mitigating or potentially resolving various neuroinflammation-associated disorders. However, it is still unknown how CGA may interact with the gut, microbiota and the brain during SD.

PURPOSE

This study aims to explore the therapeutic effect and underlying mechanism of microbiota-gut-brain axis by which CGA prevents SD-induced cognitive deficits.

STUDY DESIGN AND METHODS

CGA (30, 60 mg/kg.bw.) was gavaged to C57BL/6 mice, and then they were submitted to 48-h SD. The cognitive and spatial learning abilities were investigated through behavioral tests. Furthermore, we explored the action mechanism of this compound with haematological analysis, histopathological examination, Western blot, ELISA and 16S rRNA gene pyrosequencing from colonic contents.

RESULTS

The cognitive deficits induced by SD were significantly relieved by administration of CGA in a dose-dependent manner. The hematoxylin and eosin staining of hippocampus and colon tissues indicated that pretreatment of CGA not only protected brain tissue from SD, but also maintained intestinal integrity. In the hippocampus, the increased pro-inflammatory neurometabolites were significantly prevented by CGA, and an immune profile capable of hippocampal-dependent spatial memory was improved via Nrf2/PPAR signaling pathways. The observed immunomodulatory effect was concomitant with augmentation of the intestinal barrier, as evidenced by the heightened expressions of tight junction proteins. 16S rRNA analysis of colonic contents revealed that levels of Clostridia_UCG-014 and lipopolysaccharide were significantly inhibited, and those of Lactobacillus and intestinal tight junction proteins were upregulated in the CGA group. Pathways of ko05322 (immune disease) and ko04610 (immune system) were significantly regulated by CGA. Based on PICRUSt2 algorithm, CGA probably influenced gut microbial functions via several metabolism pathways, such as arginine biosynthesis, pyrimidine metabolism and purine metabolism.

CONCLUSION

The present study first proved the efficacy and mechanism of CGA in alleviating SD-induced cognitive impairment and neuroinflammation via creating a systemic protection, a bidirectional communication system connecting the gut with the brain. The intestinal barrier improvement and the reshaped "SD microbiota" profiles restored immunity functions, which were probably the main contributors to Nrf2/PPAR activation and the neuroprotective effect of CGA. Overall, this work provided novel insights of CGA, which might guide the more reasonable clinical use of CGA in the pathogenesis of sleep-related disorders.

Applications of multi-omics analysis in human diseases

Multi-omics usually refers to the crossover application of multiple high-throughput screening technologies represented by genomics, transcriptomics, single-cell transcriptomics, proteomics and metabolomics, spatial transcriptomics, and so on, which play a great role in promoting the study of human diseases. Most of the current reviews focus on describing the development of multi-omics technologies, data integration, and application to a particular disease; however, few of them provide a comprehensive and systematic introduction of multi-omics. This review outlines the existing technical categories of multi-omics, cautions for experimental design, focuses on the integrated analysis methods of multi-omics, especially the approach of machine learning and deep learning in multi-omics data integration and the corresponding tools, and the application of multi-omics in medical researches (e.g., cancer, neurodegenerative diseases, aging, and drug target discovery) as well as the corresponding open-source analysis tools and databases, and finally, discusses the challenges and future directions of multi-omics integration and application in precision medicine. With the development of high-throughput technologies and data integration algorithms, as important directions of multi-omics for future disease research, single-cell multi-omics and spatial multi-omics also provided a detailed introduction. This review will provide important guidance for researchers, especially who are just entering into multi-omics medical research.