Nature and Science of Sleep最新文献

{"title":"Obstructive Sleep Apnea Syndrome and Obesity Indicators, Circulating Blood Lipid Levels, and Adipokines Levels: A Bidirectional Two-Sample Mendelian Randomization Study","authors":"Yating Zhang, Hongyan Wang, Jie Yang, Sanchun Wang, Weifang Tong, Bo Teng","doi":"10.2147/nss.s460989","DOIUrl":"https://doi.org/10.2147/nss.s460989","url":null,"abstract":"<strong>Purpose:</strong> This investigation sought to elucidate the genetic underpinnings that connect obesity indicators, circulating blood lipid levels, adipokines levels and obstructive sleep apnea syndrome (OSAS), employing a bidirectional two-sample Mendelian randomization (MR) analysis that utilizes data derived from extensive genome-wide association studies (GWAS).<br/><strong>Methods:</strong> We harnessed genetic datasets of OSAS available from the FinnGen consortium and summary data of four obesity indices (including neck circumference), seven blood lipid (including triglycerides) and eleven adipokines (including leptin) from the IEU OpenGWAS database. We primarily utilized inverse variance weighted (IVW), weighted median, and MR-Egger methods, alongside MR-PRESSO and Cochran’s Q tests, to validate and assess the diversity and heterogeneity of our findings.<br/><strong>Results:</strong> After applying the Bonferroni correction, we identified significant correlations between OSAS and increased neck circumference (Odds Ratio [OR]: 3.472, 95% Confidence Interval [CI]: 1.954– 6.169, P= 2.201E-05) and decreased high-density lipoprotein (HDL) cholesterol levels (OR: 0.904, 95% CI: 0.858– 0.952, P= 1.251E-04). Concurrently, OSAS was linked to lower leptin levels (OR: 1.355, 95% CI: 1.069– 1.718, P= 0.012) and leptin receptor levels (OR: 0.722, 95% CI: 0.530– 0.996, P= 0.047). Sensitivity analyses revealed heterogeneity in HDL cholesterol and leptin indicators, but further multiplicative random effects IVW method analysis confirmed these correlations as significant (P&lt; 0.05) without notable heterogeneity or horizontal pleiotropy in other instrumental variables.<br/><strong>Conclusion:</strong> This investigation compellingly supports the hypothesis that OSAS could be a genetic predisposition for elevated neck circumference, dyslipidemia, and adipokine imbalance. These findings unveil potential genetic interactions between OSAS and metabolic syndrome, providing new pathways for research in this domain. Future investigations should aim to delineate the specific biological pathways by which OSAS impacts metabolic syndrome. Understanding these mechanisms is critical for developing targeted prevention and therapeutic strategies.<br/><br/><strong>Keywords:</strong> sleep disorders, metabolic syndrome, causal inference, GWAS<br/>","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141171717","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Microstructural Changes in the Cerebral White Matter After 12 Months of CPAP Treatment for Moderate to Severe Obstructive Sleep Apnoea: A TBSS Study","authors":"Xiang Liu, Zhipeng Wei, Long Ting, Xuming Liu, Yongqiang Shu, Huang Ling, Lifeng Li, Yumeng Liu, Guojin Xia, Dechang Peng, Haijun Li","doi":"10.2147/nss.s460919","DOIUrl":"https://doi.org/10.2147/nss.s460919","url":null,"abstract":"<strong>Introduction:</strong> Continuous positive airway pressure (CPAP) therapy improves clinical symptoms in patients with obstructive sleep apnea (OSA); however, the mechanism of this clinical improvement and how it may be associated with the restoration of white matter (WM) structures in the brain is unclear. Therefore, this study investigated the relationship between the structural recovery of brain WM and improvements in cognitive function and emotion after long-term (12 months) CPAP treatment in patients with OSA.<br/><strong>Methods:</strong> We collected data from 17 patients with OSA before and 12 months after CPAP treatment, including sleep monitoring, clinical assessment, and diffusion tensor imaging (DTI) magnetic resonance imaging.<br/><strong>Results:</strong> We observed a partial reversible recovery of brain WM (mean and radial diffusion coefficients) after treatment. This recovery involved the commissural fibers (cingulum, body of corpus callosum), projection fibers (retrolenticular part of the internal capsule, posterior thalamic radiation, posterior limb of the internal capsule, superior corona radiata, posterior corona radiata), association fibers (external capsule, superior longitudinal fasciculus, inferior longitudinal fasciculus), and other regions. In addition, the improvements in WM fibers in one part of the brain significantly were correlated with the Hamilton Anxiety Scale and Hamilton Depression Scale scores.<br/><strong>Discussion:</strong> Our results suggest that reversible recovery of reduced brain WM integrity due to OSA may require longer CPAP treatment. Moreover, changes in the integrity of the commissural fibers were associated with emotion regulation. These restored WM areas may explain the cognitive and mood improvements observed after OSA treatment.<br/><br/><strong>Keywords:</strong> obstructive sleep apnea, continuous positive airway pressure, diffusion tensor imaging, tract-based spatial statistics<br/>","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141171716","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Unveiling Coronasomnia: Pandemic Stress and Sleep Problems During the COVID-19 Outbreak","authors":"Si Chen, Cecilia Cheng","doi":"10.2147/nss.s459945","DOIUrl":"https://doi.org/10.2147/nss.s459945","url":null,"abstract":"<strong>Abstract:</strong> The COVID-19 pandemic posed an unprecedented challenge to public well-being, necessitating an examination of its health impact. This review discusses the relationship between pandemic-induced stressors and individual sleep patterns and quality. The pandemic stressors include lockdown or physical distancing measures, direct virus exposure, and the dissemination of misinformation and disinformation. The pandemic led to delayed sleep-wake cycles, except for healthcare professionals, and worsened sleep quality. The prevalence of insomnia was higher for women due to pre-existing conditions and susceptibility stressors such as lockdown stress and family responsibilities. Healthcare professionals, who experienced worsened work conditions during the pandemic, reported higher rates of insomnia and sleep difficulties due to infection anxiety and post-traumatic stress from direct virus exposure. For the general population, stress stemmed from social isolation under lockdown and overwhelming false information available online, resulting in sleep problems. Taken together, the findings highlight the importance of promoting social interactions, providing psychological support services, and caution in navigating health information. In summary, this review underscores the need for individual- and group-centered approaches in ongoing research and interventions to address pandemic-related stress and sleep issues during COVID-19.<br/><br/><strong>Keywords:</strong> sleep health, sleep disturbance, insomnia, infodemic<br/>","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141171511","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Bridging AI and Clinical Practice: Integrating Automated Sleep Scoring Algorithm with Uncertainty-Guided Physician Review","authors":"Michal Bechny, Giuliana Monachino, Luigi Fiorillo, Julia van der Meer, Markus H Schmidt, Claudio LA Bassetti, Athina Tzovara, Francesca D Faraci","doi":"10.2147/nss.s455649","DOIUrl":"https://doi.org/10.2147/nss.s455649","url":null,"abstract":"<strong>Purpose:</strong> This study aims to enhance the clinical use of automated sleep-scoring algorithms by incorporating an uncertainty estimation approach to efficiently assist clinicians in the manual review of predicted hypnograms, a necessity due to the notable inter-scorer variability inherent in polysomnography (PSG) databases. Our efforts target the extent of review required to achieve predefined agreement levels, examining both in-domain (ID) and out-of-domain (OOD) data, and considering subjects’ diagnoses.<br/><strong>Patients and Methods:</strong> A total of 19,578 PSGs from 13 open-access databases were used to train U-Sleep, a state-of-the-art sleep-scoring algorithm. We leveraged a comprehensive clinical database of an additional 8832 PSGs, covering a full spectrum of ages (0– 91 years) and sleep-disorders, to refine the U-Sleep, and to evaluate different uncertainty-quantification approaches, including our novel confidence network. The ID data consisted of PSGs scored by over 50 physicians, and the two OOD sets comprised recordings each scored by a unique senior physician.<br/><strong>Results:</strong> U-Sleep demonstrated robust performance, with Cohen’s kappa (K) at 76.2% on ID and 73.8– 78.8% on OOD data. The confidence network excelled at identifying uncertain predictions, achieving AUROC scores of 85.7% on ID and 82.5– 85.6% on OOD data. Independently of sleep-disorder status, statistical evaluations revealed significant differences in confidence scores between aligning vs discording predictions, and significant correlations of confidence scores with classification performance metrics. To achieve κ ≥ 90% with physician intervention, examining less than 29.0% of uncertain epochs was required, substantially reducing physicians’ workload, and facilitating near-perfect agreement.<br/><strong>Conclusion:</strong> Inter-scorer variability limits the accuracy of the scoring algorithms to ~80%. By integrating an uncertainty estimation with U-Sleep, we enhance the review of predicted hypnograms, to align with the scoring taste of a responsible physician. Validated across ID and OOD data and various sleep-disorders, our approach offers a strategy to boost automated scoring tools’ usability in clinical settings.<br/><br/><strong>Keywords:</strong> automated sleep scoring, uncertainty quantification, explainable AI, polysomnography, sleep medicine<br/>","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141171580","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association Between Sleep Apnea Syndrome and Osteoarthritis: Insights from Bidirectional Mendelian Randomization and Bioinformatics Analysis","authors":"Lian Weng, Xiongjunjie Luo, Yuxi Luo, Qian Zhang, Kaitao Yao, Junjie Tan, Yiran Yin","doi":"10.2147/nss.s461010","DOIUrl":"https://doi.org/10.2147/nss.s461010","url":null,"abstract":"<strong>Background:</strong> Sleep apnea syndrome(SAS) and osteoarthritis (OA) are two prevalent diseases that often coexist, but the causal relationship between them remains unclear. In light of this, our team utilizes Mendelian Randomization and bioinformatics analysis methods to investigate the potential association between the two diseases.<br/><strong>Methods:</strong> In this study, we utilized GWAS data pertaining to SAS and OA to assess the causal relationship between the two diseases through Mendelian randomization (MR) analysis. We then employed transcriptomic data to perform differential gene identification, WGCNA, shared gene determination, functional enrichment analysis, and colocalization analysis, all designed to further elucidate the mechanisms underlying the association between the two diseases. In the end, we utilized Mendelian randomization (MR) analysis again to delve deeper into the relationship between the two diseases and immune cells.<br/><strong>Results:</strong> Our research findings indicate that SAS is a risk factor for OA (p = 0.000004), knee OA (p = 0.0000001) and hip OA(p = 0.001). Furthermore, OA (p = 0.000195), knee OA (p = 0.001) are significant risk factors for SAS. However, there is no clear evidence that hip OA (p = 0.892) is a risk factor for SAS. Interestingly, the genes shared between OA and SAS are significantly enriched in leukocyte migration, leukocyte chemotaxis. Moreover, colocalization analysis suggests that the genes JUNB, COL8A1, FOSB, and IER2 may be key genes associated with both diseases. Furthermore, 57 immune cell phenotypes are associated with SAS, 95 with OA, and 6 shared between both diseases.<br/><strong>Conclusion:</strong> This research confirmed the bidirectional causal relationship between SAS and OA. Notably, the 4 genes (JUNB, COL8A1, FOSB, IER2) and 6 immune phenotypes are crucial for both diseases, these provide hopeful targets for future interventions against these two diseases.<br/><br/>","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140889170","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Characterisation of Symptom and Polysomnographic Profiles Associated with Cardiovascular Risk in a Sleep Clinic Population with Obstructive Sleep Apnoea","authors":"Emily Kemp, Kate Sutherland, Yu Sun Bin, Andrew SL Chan, Hasthi Dissanayake, Brendon J Yee, Kristina Kairaitis, John Robert Wheatley, Philip de Chazal, Amanda J Piper, Peter A Cistulli","doi":"10.2147/nss.s453259","DOIUrl":"https://doi.org/10.2147/nss.s453259","url":null,"abstract":"<strong>Aim:</strong> Recent data have identified specific symptom and polysomnographic profiles associated with cardiovascular disease (CVD) in patients with obstructive sleep apnoea (OSA). Our aim was to determine whether these profiles were present at diagnosis of OSA in patients with established CVD and in those with high cardiovascular risk. Participants in the Sydney Sleep Biobank (SSB) database, aged 30– 74 years, self-reported presence of CVD (coronary artery disease, cerebrovascular disease, or heart failure). In those without established CVD, the Framingham Risk Score (FRS) estimated 10-year absolute CVD risk, categorised as “low” (&lt; 6%), “intermediate” (6– 20%), or “high” (&gt; 20%). Groups were compared on symptom and polysomnographic variables.<br/><strong>Results:</strong> 629 patients (68% male; mean age 54.3 years, SD 11.6; mean BMI 32.3 kg/m², SD 8.2) were included. CVD was reported in 12.2%. A further 14.3% had a low risk FRS, 38.8% had an intermediate risk FRS, and 34.7% had a high risk FRS. Groups differed with respect to age, sex and BMI. OSA severity increased with established CVD and increasing FRS. The symptom of waking too early was more prevalent in the higher FRS groups (p=0.004). CVD and FRS groups differed on multiple polysomnographic variables; however, none of these differences remained significant after adjusting for age, sex, and BMI.<br/><strong>Conclusion:</strong> Higher CVD risk was associated with waking too early in patients with OSA. Polysomnographic variations between groups were explained by demographic differences. Further work is required to explore the influence of OSA phenotypic characteristics on susceptibility to CVD.<br/><br/><strong>Keywords:</strong> obstructive sleep apnoea, cardiovascular disease<br/>","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140889169","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sleep Duration Irregularity is Associated with Elevated Blood Pressure During Submaximal Exercise in Young Adults","authors":"Joaquin U Gonzales, Jacob R Dellinger","doi":"10.2147/nss.s460212","DOIUrl":"https://doi.org/10.2147/nss.s460212","url":null,"abstract":"<strong>Purpose:</strong> Irregularity in nightly sleep duration is reported to associate with elevated blood pressure (BP), but it is unclear whether this association can be observed with BP measured during exercise after controlling for factors known to influence the exercise pressor reflex.<br/><strong>Methods:</strong> Twenty-nine young adults (22± 4y; 19 men, 10 women) performed cycling exercise until volitional fatigue to assess peak oxygen uptake (VO₂). Actigraphy was used to monitor sleep duration and daily physical activity for seven consecutive days after which participants completed two bouts of moderate-intensity cycling while BP and VO₂ were measured using a Tango+ device and indirect calorimetry, respectively. Systolic BP was averaged from the two bouts of exercise and expressed as a change from seated rest (∆SBP). Sleep duration regularity was calculated as standard deviation (SD) and coefficient of variation (CV).<br/><strong>Results:</strong> Systolic BP at seated rest, during exercise, and ∆SBP was 113± 13, 152± 21, and 38± 13 mmHg, respectively. Sleep duration SD (range 10– 146 min) and sleep duration CV (range 2– 54%) when excluding weekend nights were significantly correlated with ∆SBP (r = 0.58 and r = 0.62, respectively; both <em>p</em>&lt; 0.01) after adjusting for age, sex, body mass index, peak VO₂, physical activity, resting systolic BP, chronotype, and the VO₂ response to exercise. Sleep duration regularity analyzed with weekend nights included (across all seven days) was also significantly correlated with ∆SBP (<em>p</em>≤ 0.01), but had weaker correlation coefficients.<br/><strong>Conclusion:</strong> These results indicate that sleep regularity, especially when excluding weekend nights, is associated with the rise in systolic BP during moderate-intensity exercise in young adults. Sleep duration regularity may be a useful tool to capture the impact of intermittent nights of insufficient sleep on BP dysregulation.<br/><br/><strong>Keywords:</strong> sleep duration, sleep variability, blood pressure, exercise, VO₂, chronotype<br/>","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140839007","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association of Sleep Pattern and Genetic Susceptibility with Obstructive Sleep Apnea: A Prospective Analysis of the UK Biobank","authors":"Rong Zhou, Chen Suo, Yong Jiang, Liyun Yuan, Tiejun Zhang, Xingdong Chen, Guoqing Zhang","doi":"10.2147/nss.s443721","DOIUrl":"https://doi.org/10.2147/nss.s443721","url":null,"abstract":"","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141138310","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Validation of Downloadable Mobile Snore Applications by Polysomnography (PSG)","authors":"Yi-Hsien Shiao, Chung-Chieh Yu, Yuan-Chieh Yeh","doi":"10.2147/nss.s433351","DOIUrl":"https://doi.org/10.2147/nss.s433351","url":null,"abstract":"Purpose: Obstructive sleep apnea (OSA) is a common breathing disorder during sleep that is associated with symptoms such as snoring, excessive daytime sleepiness, and breathing interruptions. Polysomnography (PSG) is the most reliable diagnostic test for OSA; however, its high cost and lengthy testing duration make it difficult to access for many patients. With the availability of free snore applications for home-monitoring, this study aimed to validate the top three ranked snore applications, namely SnoreLab (SL), Anti Snore Solution (ASS), and Sleep Cycle Alarm (SCA), using PSG. Patients and Methods: Sixty participants underwent an overnight PSG while simultaneously using three identical smartphones with the tested apps to gather sleep and snoring data. Results: The study discovered that all three applications were significantly correlated with the total recording time and snore counts of PSG, with ASS showing good agreement with snore counts. Furthermore, the Snore Score, Time Snoring of SL, and Sleep Quality of SCA had a significant correlation with the natural logarithm of apnea hypopnea index (lnAHI) of PSG. The Snore Score of SL and the Sleep Quality of SCA were shown to be useful for evaluating snore severity and for pre-diagnosing or predicting OSA above moderate levels. Conclusion: These findings suggest that some parameters of free snore applications can be employed to monitor OSA progress, and future research could involve adjusted algorithms and larger-scale studies to further authenticate these downloadable snore and sleep applications.","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141144761","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Reoxygenation Mitigates Intermittent Hypoxia-Induced Systemic Inflammation and Gut Microbiota Dysbiosis in High-Fat Diet-Induced Obese Rats","authors":"Menglu Dong, Xili Liang, Tian Zhu, Ting Xu, Liwei Xie, Yuan Feng","doi":"10.2147/nss.s454297","DOIUrl":"https://doi.org/10.2147/nss.s454297","url":null,"abstract":"","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141144748","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}