Lipids in Health and Disease最新文献

{"title":"Correction: Low‑grade inflammation is associated with a heterogeneous lipoprotein subclass profile in an apparently healthy population sample.","authors":"Daniel L Pontzen, Martin Bahls, Diana Albrecht, Stephan B Felix, Marcus Dörr, Till Ittermann, Matthias Nauck, Nele Friedrich","doi":"10.1186/s12944-024-02413-5","DOIUrl":"10.1186/s12944-024-02413-5","url":null,"abstract":"","PeriodicalId":18073,"journal":{"name":"Lipids in Health and Disease","volume":"23 1","pages":"420"},"PeriodicalIF":3.9,"publicationDate":"2024-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11670458/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142894977","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Tracking of serum lipids from prepuberty to young adulthood: results from the KiGGS cohort study.","authors":"Julia Truthmann, Anja Schienkiewitz, Antje Kneuer, Yong Du, Christa Scheidt-Nave","doi":"10.1186/s12944-024-02409-1","DOIUrl":"10.1186/s12944-024-02409-1","url":null,"abstract":"<p><strong>Background: </strong>Universal lipid screening in childhood for early detection and treatment of familial hypercholesterolemia is under discussion, but will also detect children with multifactorial dyslipidemia. Results from population-based studies can support the design of public health strategies. As few previous studies considered pubertal changes in serum lipid levels, we examined tracking of serum lipids from prepuberty to young adulthood in a population-based cohort.</p><p><strong>Methods: </strong>This longitudinal study includes 692 children from the German Health Interview and Examination Survey for Children and Adolescents (KiGGS; baseline: 2003-2006, follow-up: 2014-2017) who were 6-8 years old at baseline, at least 18 years old at follow-up, and had measurements of serum total cholesterol (TC), high-density and non-high-density lipoprotein cholesterol (HDL-C; non-HDL-C) at both time points. We calculated proportions of participants by life stage-specific risk categories applying cut points for young children and young adults. We used correlation coefficients to estimate serum lipid tracking from childhood to young adulthood. The association between follow-up and baseline lipid levels was examined in sex-specific multivariable linear regression models including body mass index (BMI), health-related behaviors and medication use as covariables.</p><p><strong>Results: </strong>The correlation coefficient between baseline and follow-up was 0.60 for non-HDL-C, 0.56 for TC, and 0.43 for HDL-C and was higher in males than in females. 67% of participants had acceptable and 9% had borderline/elevated non-HDL-C levels at both time points. Of participants with borderline/elevated non-HDL-C levels at baseline 32% remained in this category and 68% improved. Non-HDL-C levels at baseline explained 53% of the variance in levels at follow-up in males and 28% in females. After adjustment for covariables, the explained variance increased to 62% in males and 45% in females. An increase in BMI z-scores from childhood to young adulthood in all sexes and oral contraceptive use in females was positively associated with higher levels at follow-up.</p><p><strong>Conclusions: </strong>Non-HDL-C levels in prepuberty are moderate predictors of levels in young adulthood, along with increasing BMI from childhood to young adulthood, and oral contraceptive use among women. Comprehensive strategies including public health interventions targeting elevated lipid levels and obesity in combination, are essential to prevent premature cardiovascular events.</p>","PeriodicalId":18073,"journal":{"name":"Lipids in Health and Disease","volume":"23 1","pages":"421"},"PeriodicalIF":3.9,"publicationDate":"2024-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11670486/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142895429","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association between triglyceride-glucose index and its correlation indexes and stress urinary incontinence in postmenopausal women: evidence from NHANES 2005-2018.","authors":"Xueping Huang, Wen Hu, Limei Li","doi":"10.1186/s12944-024-02414-4","DOIUrl":"10.1186/s12944-024-02414-4","url":null,"abstract":"<p><strong>Background: </strong>Postmenopausal women are more susceptible to stress urinary incontinence (SUI), and insulin resistance (IR) is closely related to SUI. The triglyceride-glucose (TyG) index is an efficient metric for assessing IR. Investigating whether TyG index and its correlation indexes were correlated with SUI in postmenopausal women was the aim of this research.</p><p><strong>Methods: </strong>Data from 2,132 postmenopausal women from the National Health and Nutrition Examination Survey (NHANES) were included in the study for analysis. Weighted multiple logistic regression was used to evaluate the correlation between the TyG index and its correlation indexes and SUI. The nonlinear correlation between the TyG correlation indexes and SUI, as well as the diagnostic efficacy for SUI, was investigated using the smooth curve approach and receiver operating characteristics. Through detailed subgroup analysis, the stability and generalization of the results are confirmed.</p><p><strong>Results: </strong>Of the 26.87 million, 13.63 million, or 50.73%, suffered from SUI. The prevalence of SUI was significantly higher in the fourth quartile of TyG-BMI (OR = 1.93, 95% CI 1.13-2.84), TyG-WC (OR = 1.76, 95% CI 1.23-2.51), and TyG-WHtR (OR = 1.81, 95% CI 1.28-2.55) compared to the first quartile. Among the three models, TyG-WHtR always maintained a more significant correlation with SUI (Model 1:OR = 1.30;Model 2:OR = 1.33; Model 3:OR = 1.24). Smooth curve fitting results showed that TyG correlation indexes were not linearly correlated with SUI (P > 0.05). Subgroup analysis further confirmed the reliability and applicability of the results. TyG-BMI had the greatest diagnostic performance for SUI out of the four markers.</p><p><strong>Conclusions: </strong>In comparison to TyG, TyG correlation indexes showed a more significant correlation with SUI among postmenopausal women in US, with TyG-BMI showing the best diagnostic effectiveness.</p>","PeriodicalId":18073,"journal":{"name":"Lipids in Health and Disease","volume":"23 1","pages":"419"},"PeriodicalIF":3.9,"publicationDate":"2024-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11667865/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142882389","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association of visceral adiposity index and lipid accumulation product with frailty in U.S. adults: a cross-sectional study from NHANES.","authors":"Shaohua Yan, Ke Chai, Jiefu Yang, Hua Wang","doi":"10.1186/s12944-024-02410-8","DOIUrl":"10.1186/s12944-024-02410-8","url":null,"abstract":"<p><strong>Background: </strong>Frailty poses a considerable public health challenge because of its association with negative health consequences. Although obesity is recognized as a contributor to frailty, conventional measures fail to adequately account for the effects of visceral adiposity. The study aimed to investigate the associations between the visceral adiposity index (VAI) or lipid accumulation product (LAP) and frailty.</p><p><strong>Methods: </strong>This study used data from the National Health and Nutrition Examination Survey (NHANES), which included 5,279 participants aged ≥ 20 years. The VAI and LAP were calculated via recognized formulas, and frailty was evaluated via a deficit accumulation approach. We employed logistic regression and restricted cubic splines to assess the associations among LAP, VAI and frailty.</p><p><strong>Results: </strong>Out of 5,279 participants, 1,836 individuals were categorized as frail. According to the fully adjusted models, the highest VAI and LAP values were significantly associated with frailty, with adjusted ORs of 1.84 (95% CI: 1.40-2.42) and 2.47 (95% CI: 1.89-3.24), respectively, compared with the lowest values. A nonlinear relationship was identified between the LAP and frailty, with an inflection point of 1.589 (ln-transformed), whereas the VAI was linearly associated with frailty. Sensitivity analyses confirmed the robustness of these associations.</p><p><strong>Conclusion: </strong>The VAI and LAP are significantly related to frailty, highlighting the importance of visceral adiposity in frailty risk. These results increase the understanding of the metabolic underpinnings of frailty and may guide the development of targeted prevention strategies.</p>","PeriodicalId":18073,"journal":{"name":"Lipids in Health and Disease","volume":"23 1","pages":"417"},"PeriodicalIF":3.9,"publicationDate":"2024-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11665064/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142882393","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The role of the triglyceride-glucose index as a biomarker of cardio-metabolic syndromes.","authors":"Verena Gounden, Sridevi Devaraj, Ishwarlal Jialal","doi":"10.1186/s12944-024-02412-6","DOIUrl":"10.1186/s12944-024-02412-6","url":null,"abstract":"<p><strong>Background: </strong>The Triglyceride-glucose (TyG) index represents a simple, cost-effective, and valid proxy for insulin resistance. This surrogate marker has also been proposed as a predictor of metabolic and cardiovascular disease (CVD). In this descriptive review, we aimed to assess the utility of the TyG index as a predictive biomarker of cardiometabolic diseases.</p><p><strong>Methods: </strong>A search was conducted in PubMed, and Web of Science to identify cross-sectional and more importantly prospective studies examining the use of the TyG index as a predictive biomarker. The following terms were utilized in addition to the TyG index: \"insulin resistance\", \"metabolic syndrome\", \"diabetes\"; \"cardiovascular diseases\".</p><p><strong>Results: </strong>This descriptive review included thirty prospective studies in addition to cross-sectional studies. Following adjustment for confounding variables, an elevated TyG index was associated with a significantly increased risk for the development of Metabolic Syndrome (MetS), Type 2 Diabetes, hypertension, and CVD. Also in limited studies, the TyG index was associated with endothelial dysfunction, increased oxidative stress and a pro-inflammatory phenotype.</p><p><strong>Conclusion: </strong>Overall, our findings support the use of the TyG index as a valid biomarker to assess the risk of developing MetS, T2DM, as well as atherosclerotic cardiovascular disease.</p>","PeriodicalId":18073,"journal":{"name":"Lipids in Health and Disease","volume":"23 1","pages":"416"},"PeriodicalIF":3.9,"publicationDate":"2024-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11664894/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142882399","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Retraction Note: The effect of probiotics supplementation on blood pressure: a systemic review and meta-analysis.","authors":"Dan Qi, Xiao-Lu Nie, Jian-Jun Zhang","doi":"10.1186/s12944-024-02418-0","DOIUrl":"10.1186/s12944-024-02418-0","url":null,"abstract":"","PeriodicalId":18073,"journal":{"name":"Lipids in Health and Disease","volume":"23 1","pages":"418"},"PeriodicalIF":3.9,"publicationDate":"2024-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11667904/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142882394","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association of triglyceride-glucose index and diabesity: evidence from a national longitudinal study.","authors":"Fan Zhang, Yan Sun, Yan Bai, Rong Wu, Hua Yang","doi":"10.1186/s12944-024-02403-7","DOIUrl":"10.1186/s12944-024-02403-7","url":null,"abstract":"<p><strong>Background: </strong>Diabesity, a co-occurrence of diabetes and obesity, is a growing public health concern globally. The triglyceride-glucose (TyG) index, a surrogate marker of insulin resistance, has been associated with various metabolic disorders. This study aimed to investigate the association between TyG index and new-onset diabesity in a national longitudinal study.</p><p><strong>Methods: </strong>We utilized data from the China Health and Retirement Longitudinal Study (CHARLS). Baseline data from the first wave (2011) and follow-up data from the third wave (2015) were analyzed. A Competing risks model based on Fine and Gray's subdistribution hazard approach was employed to examine the association between the TyG index and developing of three mutually exclusive outcomes: remaining free of diabetes and obesity, diabetes alone, and new-onset diabesity (co-occurrence of diabetes and obesity).</p><p><strong>Results: </strong>A total of 6,976 participants were included in the analysis. During a mean follow-up period of 4.0 years, a total of 557 diabetes and 155 diabesity were recorded, respectively. After adjusting for socio-demographic information, lifestyle and comorbidities, compared with participants in the lowest quartile of TyG, the corresponding adjusted subdistribution hazard ratios (HRs) with 95% confidence intervals (95% CIs) for participants in the second, third, and fourth quartiles were 2.112 (95% CI: 1.047-4.259; P-value = 0.037), 2.911 (95% CI: 1.481-5.722, P-value = 0.002), and 4.305 (95% CI: 2.220-8.346, P-value < 0.001). The association between TyG and diabetes alone was equally significant when diabesity treated as the competing risk. Sensitivity analyses proved the robustness of results.</p><p><strong>Conclusion: </strong>This national longitudinal study in China provides evidence that a higher TyG index is associated with an increased risk of developing diabesity.</p>","PeriodicalId":18073,"journal":{"name":"Lipids in Health and Disease","volume":"23 1","pages":"412"},"PeriodicalIF":3.9,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11660576/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142872452","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association between simple, combined lipid markers and 20-year cumulative incidence of type 2 diabetes: the ATTICA cohort study (2002-2022).","authors":"Ioanna Kechagia, Fotios Barkas, Evangelos Liberopoulos, Christina Chrysohoou, Petros P Sfikakis, Costas Tsioufis, Christos Pitsavos, Demosthenes Panagiotakos","doi":"10.1186/s12944-024-02383-8","DOIUrl":"10.1186/s12944-024-02383-8","url":null,"abstract":"<p><strong>Background: </strong>The aim of this study was to evaluate the association between simple, combined lipid biomarkers, and 20-year cumulative incidence of new type 2 diabetes mellitus (T2DM) among adults participating in the ATTICA cohort study (2002-2022).</p><p><strong>Methods: </strong>The present analysis included data from 2000 individuals free of T2DM at baseline (age 43 ± 13 years; 51% women). Sociodemographic, anthropometric, lifestyle, clinical, and biochemical parameters were collected at baseline and follow-up examinations; combined lipid markers were evaluated.</p><p><strong>Results: </strong>The 20-year cumulative incidence of T2DM was 26.3% (95%CI 24.4, 28.3%). All, simple and combined lipid markers were independently associated with new T2DM onset. The accuracy of simple and combined markers was approximately 75%, without any significant differences between simple and combined indices. The additive correct classification gain of lipid markers to glucose metabolism indices on 20-year new T2DM cumulative incidence varied between 0.9% for cardiometabolic index to 10.6% for LDL-cholesterol.</p><p><strong>Conclusions: </strong>Lipid profile is associated with the long-term onset of T2DM. Evaluated through simple or combined markers, lipid profiles can be utilized for identifying and improving risk stratification in individuals at high risk for T2DM, while also enhancing the effectiveness of primary prevention measures and public health strategies.</p>","PeriodicalId":18073,"journal":{"name":"Lipids in Health and Disease","volume":"23 1","pages":"413"},"PeriodicalIF":3.9,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11660781/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142872449","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association between all-cause mortality and triglyceride glucose body mass index among critically ill patients with sepsis: a retrospective cohort investigation.","authors":"Huijun Jin, Xuefeng Xu, Chun Ma, Xinghai Hao, Jinglan Zhang","doi":"10.1186/s12944-024-02390-9","DOIUrl":"10.1186/s12944-024-02390-9","url":null,"abstract":"<p><strong>Background: </strong>We determined utilizing a sepsis participant cohort whether there is a significant association between TyG-BMI (triglyceride glucose body mass index) and mortality rates at any stage.</p><p><strong>Methods: </strong>Herein, a historical cohort investigation approach was adopted, using information provided by the Medical Information Mart for Intensive Care-IV (MIMIC-IV). We categorized the included individuals in accordance with their TyG-BMI data quartiles, and the primary outcomes were mortality during the hospital stay and death rate due to any reason at postadmission day 28, 90, and 365. To evaluate TyG-BMI mortality's relationship with sepsis-induced mortality risk, we employed restricted cubic spline regression (RCS) and Cox regression models. Additionally, we confirmed TyG-BMI's significant predictive value for mortality via machine learning methods. Furthermore, we performed subgroup analyses to investigate possible differences among various patient groups.</p><p><strong>Results: </strong>The cohort included 4759 individuals, aged 63.9 ± 15.0 years, involving 2885 males (60.6%). The rates of death that took place during hospital stay and at 28, 90 and 365 days postadmission were respectively 19.60%, 24.70%, 28.80%, and 35.20%. As reflected by Cox models, TyG-BMI was negatively associated with mortality risk at various intervals: in-hospital [hazard ratio (HR) 0.47 (0.39-0.56), P = 0.003], 28 days postadmission [HR 0.42 (0.35-0.49), P < 0.001], 90 days postadmission [HR 0.41 (0.35-0.48), P < 0.001], and 365 days postadmission [HR 0.41 (0.35-0.47), P < 0.001]. Additionally, the relationship between TyG-BMI and death rates was L-shaped, as reflected by the RCS, with a TyG-BMI of 249 being the turning point.</p><p><strong>Conclusions: </strong>Among sepsis patients in critical care, TyG-BMI is negatively correlated with mortality possibility at various intervals: during hospital stay and 28 days, 90 days, and one year postadmission. TyG-BMI is a beneficial parameter for categorizing risk levels among sepsis patients and for predicting their mortality risk within one year.</p>","PeriodicalId":18073,"journal":{"name":"Lipids in Health and Disease","volume":"23 1","pages":"414"},"PeriodicalIF":3.9,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11660890/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142872284","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association between life's simple 7 (LS7) and arthritis: the mediating role of body fat percentage (BFP).","authors":"Huan Chen, Zhao Wang, Ning Du, Jinseok Oh, Jing Xu, Rongcan Liu, Junlong Song, Junsheng Zhang, Chan Kang","doi":"10.1186/s12944-024-02392-7","DOIUrl":"10.1186/s12944-024-02392-7","url":null,"abstract":"<p><strong>Background: </strong>Life's Simple 7 (LS7), developed by the American Heart Association, addresses seven key health behaviors and relationship factors. Although LS7 has been studied in relation to various chronic diseases, its association with arthritis remains unclear. This study seeks to investigate the association between LS7 and arthritis, with particular emphasis on the mediating role of body fat percentage (BFP).</p><p><strong>Methods: </strong>Data from the 2011-2018 National Health and Nutrition Examination Survey (NHANES), including 16,332 adult participants, were analyzed. The connection between LS7 and arthritis was evaluated using multivariable logistic regression, smooth curve fitting, and subgroup analysis. Mediation analysis assessed the role of BFP in this relationship. Additionally, ROC curve analysis was used to assess the predictive performance of the model, and the Boruta algorithm identified the influential factors associated with arthritis.</p><p><strong>Results: </strong>After adjusting for relevant covariables, each standard deviation increase in LS7 was linked to a 13% lower likelihood of arthritis [OR = 0.87, 95% CI: 0.84, 0.89]. Participants in the highest LS7 tertile (T3) exhibited a 50% reduced likelihood of developing arthritis compared to those in the lowest tertile (T1) [OR = 0.50, 95% CI: 0.43, 0.60]. Mediation analysis confirmed that BFP significantly mediated the LS7-arthritis relationship. Furthermore, the Boruta algorithm identified LS7 and BFP as key variables associated with arthritis.</p><p><strong>Conclusion: </strong>Elevated LS7 scores were associated with a lower likelihood of arthritis, with BFP serving as a mediating factor. Improving LS7 scores and managing body fat may help prevent arthritis. Due to the study's cross-sectional design, causality cannot be confirmed. Future research should use longitudinal studies to verify these findings and target high-risk groups.</p>","PeriodicalId":18073,"journal":{"name":"Lipids in Health and Disease","volume":"23 1","pages":"415"},"PeriodicalIF":3.9,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11660577/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142872446","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}