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1.
Front Neurol ; 15: 1396673, 2024.
Article de Anglais | MEDLINE | ID: mdl-38952466

RÉSUMÉ

Introduction: The online study investigated the sleep, psychological conditions, and risk factors during the wave of transmission of COVID-19 since December 7, 2022. Methods: We distributed questionnaires through networking mediums to residents to gather information about COVID-19 infection, sleep, and mental status. Results: During the extraordinary period in China, 91.9% of 1094 participants claimed to be infected with COVID-19, 36.8% reported poor sleep quality, 75.9% reported anxiety, and 65.5% reported depression. In retrospect, people have experienced lower sleep quality, longer sleep latency, enhanced rising time, and decreased sleep efficiency after the infection wave. After adjusting confounding factors, the elderly, women, urban residents, people with comorbidity, anxiety, depression, stress state, and COVID-19 infection have high risks for sleep disorders during the period. Discussion: The survey indicates that sleep disturbance caused by COVID-19 involves multiple dimensions, such as physiology, psychology, and society. The COVID-19 infection-related sleep problem should be taken seriously. Apart from conventional treatment, psychological issues of insomnia can not be ignored.

2.
Bioengineered ; 13(4): 10335-10349, 2022 04.
Article de Anglais | MEDLINE | ID: mdl-35435110

RÉSUMÉ

Cervical cancer (CC) is a gynecological cancer, which has become the second malignant tumor with mortality in developing countries. The purpose of current study was to explore the influence of Circular RNA 0001823 (circ_0001823) in the CC development. Thirty CC tissues and paracancerous tissues were obtained, and Hela and CaSki CC cells were purchased for this study. The cell growth was analyzed by CCK-8 and colony formation assays. The cell metastasis was determined with Transwell assay. The circ_0001823, miR-613, and RAB8A expression were analyzed with qRT-PCR analysis. The specific mechanisms of circRNA_0001823 were analyzed by Dual luciferase reporter and RNA pull-down assays. The circ_0001823 and RAB8A expressions were increased, and miR-613 were decreased in the CC cells and tissues. Knockdown of circ_0001823 inhibited the malignant behavior of the CC cells, which was antagonized by miR-613 inhibitor. Over-expressed RAB8A reversed the miR-613 effects in the CC cells. Knockdown of circ_0001823 inhibited the malignant behaviors of the CC cells via regulating the miR-613/RAB8A axis.


Sujet(s)
microARN , Tumeurs du col de l'utérus , Lignée cellulaire tumorale , Prolifération cellulaire/génétique , Femelle , Humains , microARN/génétique , microARN/métabolisme , ARN circulaire/génétique , Tumeurs du col de l'utérus/métabolisme , Protéines G rab/génétique , Protéines G rab/métabolisme
3.
Bioengineered ; 12(1): 4081-4091, 2021 12.
Article de Anglais | MEDLINE | ID: mdl-34288797

RÉSUMÉ

Gastric cancer is one of the most common malignant tumors. Long non-coding RNAs play crucial roles in gastric cancer progression. This study investigated the effect of LINC01320 on malignant behaviors of gastric cancer cells and explored its possible molecular mechanism. LINC01320 expression in gastric cancer tissues and cell lines was measured by qRT-PCR. Cell proliferation, transwell, and cell cloning assays were used to detect the effect of LINC01320 on the proliferation, migration, and invasion abilities, respectively, of gastric cancer cells. Bioinformatics analysis was used to predict the binding of miR-495-5p with LINC01320 and RAB19. A luciferase reporter assay was performed to verify their interactions. Finally, the N6-methyladenosine (m6A) modification of LINC01320 by METTL14 was identified through RIP experiments. LINC01320 was highly expressed in gastric cancer tissues and cells. LINC01320 overexpression promoted the proliferation, migration, and invasion of gastric cancer cells, while LINC01320 knockdown exerted the opposite effects. Moreover, miR-495-5p was predicted and demonstrated to target LINC01320 and RAB19. LINC01320 sponged miR-495-5p to regulate the expression of RAB19. Additionally, LINC01320-induced increases in cell viability, migration, and invasion of gastric cancer were alleviated by miR-495-5p and silenced RAB19. Furthermore, epigenetic studies showed that METTL14-mediated m6A modification led to LINC01320 up-regulation. METTL14 regulated the m6A modification of LINC01320. Overexpressed LINC01320 contributed to the aggressive phenotype of gastric cancer cells via regulating the miR-495-5p/RAB19 axis. This finding may provide new potential targets for treating gastric cancer.


Sujet(s)
Adénosine/analogues et dérivés , Mouvement cellulaire/génétique , microARN/métabolisme , ARN long non codant/métabolisme , Tumeurs de l'estomac/génétique , Tumeurs de l'estomac/anatomopathologie , Régulation positive/génétique , Protéines G rab/métabolisme , Adénosine/métabolisme , Séquence nucléotidique , Lignée cellulaire tumorale , Prolifération cellulaire/génétique , Régulation de l'expression des gènes tumoraux , Humains , Methyltransferases/métabolisme , microARN/génétique , Invasion tumorale , ARN long non codant/génétique , Transduction du signal , Protéines G rab/génétique
4.
Sensors (Basel) ; 16(12)2016 Dec 15.
Article de Anglais | MEDLINE | ID: mdl-27983670

RÉSUMÉ

Recently location based services (LBS) have become increasingly popular in indoor environments. Among these indoor positioning techniques providing LBS, a fusion approach combining WiFi-based and pedestrian dead reckoning (PDR) techniques is drawing more and more attention of researchers. Although this fusion method performs well in some cases, it still has some limitations, such as heavy computation and inconvenience for real-time use. In this work, we study map information of a given indoor environment, analyze variations of WiFi received signal strength (RSS), define several kinds of indoor landmarks, and then utilize these landmarks to correct accumulated errors derived from PDR. This fusion scheme, called Landmark-aided PDR (LaP), is proved to be light-weight and suitable for real-time implementation by running an Android application designed for the experiment. We compared LaP with other PDR-based fusion approaches. Experimental results show that the proposed scheme can achieve a significant improvement with an average accuracy of 2.17 m.

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