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Conway E, Wu H, Tian L. Overview of Risk Factors for Esophageal Squamous Cell Carcinoma in China. Cancers (Basel) 2023; 15:5604. [PMID: 38067307 PMCID: PMC10705141 DOI: 10.3390/cancers15235604] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 11/22/2023] [Accepted: 11/24/2023] [Indexed: 05/27/2024] Open
Abstract
(1) Background: China has the highest esophageal squamous cell carcinoma (ESCC) incidence areas in the world, with some areas of incidence over 100 per 100,000. Despite extensive public health efforts, its etiology is still poorly understood. This study aims to review and summarize past research into potential etiologic factors for ESCC in China. (2) Methods: Relevant observational and intervention studies were systematically extracted from four databases using key terms, reviewed using Rayyan software, and summarized into Excel tables. (3) Results: Among the 207 studies included in this review, 129 studies were focused on genetic etiologic factors, followed by 22 studies focused on dietary-related factors, 19 studies focused on HPV-related factors, and 37 studies focused on other factors. (4) Conclusions: ESCC in China involves a variety of factors including genetic variations, gene-environment interactions, dietary factors like alcohol, tobacco use, pickled vegetables, and salted meat, dietary behavior such as hot food/drink consumption, infections like HPV, poor oral health, gastric atrophy, and socioeconomic factors. Public health measures should prioritize genetic screening for relevant polymorphisms, conduct comprehensive investigations into environmental, dietary, and HPV influences, enhance oral health education, and consider socioeconomic factors overall as integral strategies to reduce ESCC in high-risk areas of China.
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Affiliation(s)
| | | | - Linwei Tian
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, 7 Sassoon Road, Hong Kong SAR, China; (E.C.); (H.W.)
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Nie Q, Qin L, Yan W, Luo Q, Ying T, Wang H, Wu J. Predictive model of diabetes mellitus in patients with idiopathic inflammatory myopathies. Front Endocrinol (Lausanne) 2023; 14:1118620. [PMID: 37139334 PMCID: PMC10150103 DOI: 10.3389/fendo.2023.1118620] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Accepted: 03/30/2023] [Indexed: 05/05/2023] Open
Abstract
Objectives Cardiovascular diseases are the common cause of death in patients with idiopathic inflammatory myopathies (IIMs). Diabetes mellitus was associated with higher cardiovascular mortality, but few studies focused on the risk of diabetes mellitus in IIMs patients. Our study is aimed at developing a predictive model of diabetes mellitus in IIMs patients. Methods A total of 354 patients were included in this study, of whom 35 (9.9%) were diagnosed as new-onset diabetes mellitus. The predictive nomogram was drawn based on the features selected by least absolute shrinkage and selection operator (LASSO) regression, univariate logistic regression, multivariable logistic regression, and clinical relationship. The discriminative capacity of the nomogram was assessed by C-index, calibration plot, and clinical usefulness. The predictive model was verified by the bootstrapping validation. Results The nomogram mainly included predictors such as age, gender, hypertension, uric acid, and serum creatinine. This predictive model demonstrated good discrimination and calibration in primary cohort (C-index=0.762, 95% CI: 0.677-0.847) and validation cohort (C-index=0.725). Decision curve analysis indicated that this predictive model was clinically useful. Conclusions Clinicians can assess the risk of diabetes mellitus in IIMs patients by using this prediction model, and preventive measures should be taken early for high-risk patients, ultimately reducing the adverse cardiovascular prognosis.
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Affiliation(s)
- Qiong Nie
- Department of Geriatrics, The Affiliated Hospital of Southwest Jiaotong University, The Third People's Hospital of Chengdu, Chengdu, China
- The Center of Gastrointestinal and Minimally Invasive Surgery, Department of General Surgery, The Affiliated Hospital of Southwest Jiaotong University, The Third People's Hospital of Chengdu, Chengdu, China
| | - Li Qin
- Department of Cardiology, Third Xiangya Hospital, Central South University, Changsha, China
| | - Wei Yan
- Department of Geriatrics, The Affiliated Hospital of Southwest Jiaotong University, The Third People's Hospital of Chengdu, Chengdu, China
| | - Qiang Luo
- Department of Cardiology, The Affiliated Hospital of Southwest Jiaotong University, The Third People's Hospital of Chengdu, Chengdu, China
| | - Tao Ying
- Department of Geriatrics, The Affiliated Hospital of Southwest Jiaotong University, The Third People's Hospital of Chengdu, Chengdu, China
| | - Han Wang
- Department of Cardiology, The Affiliated Hospital of Southwest Jiaotong University, The Third People's Hospital of Chengdu, Chengdu, China
- *Correspondence: Han Wang, ; Jing Wu,
| | - Jing Wu
- Department of Geriatrics, The Affiliated Hospital of Southwest Jiaotong University, The Third People's Hospital of Chengdu, Chengdu, China
- *Correspondence: Han Wang, ; Jing Wu,
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Qin L, Zhang Y, Yang X, Wang H. Development of the prediction model for hypertension in patients with idiopathic inflammatory myopathies. J Clin Hypertens (Greenwich) 2021; 23:1556-1566. [PMID: 33973700 PMCID: PMC8678666 DOI: 10.1111/jch.14267] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Revised: 03/18/2021] [Accepted: 03/20/2021] [Indexed: 12/23/2022]
Abstract
Cardiac involvement is an important cause of morbidity and mortality in patients with idiopathic inflammatory myopathies (IIMs). Hypertension, an important cardiovascular risk factor for the general population, has a crucial role in heart involvement. However, few studies have focused on the hypertension associated with IIMs. This study aimed to develop and assess the prediction model for incident hypertension in patients with IIMs. A retrospective cohort study was performed on 362 patients with IIMs, of whom 54 (14.9%) were given a diagnosis of new-onset hypertension from January 2008 to December 2018. The predictors of hypertension in IIMs were selected by least absolute shrinkage and selection operator (LASSO) regression, multivariable logistic regression, and clinically relevance, and then these predictors were used to draw the nomogram. Discrimination, calibration and clinical usefulness of the model were evaluated using the C-index, calibration plot, and decision curve analysis, respectively. The predicting model was validated by the bootstrapping validation. The nomogram mainly included predictors such as age, diabetes mellitus, triglyceride, low-density lipoprotein-cholesterol (LDL-C), antinuclear antibodies (ANA), and smoking. This prediction model demonstrated good discrimination with a C-index of 0.754 (95%CI, 0.684 to 0.824) and good calibration. The C-index of internal validation was 0.728, and decision curve analysis demonstrated that this nomogram was clinically useful. Clinicians can use this prediction model to assess the risk of hypertension in IIMs patients, and early preventive measures should be taken to reduce the incidence of hypertension in high-risk patients.
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Affiliation(s)
- Li Qin
- Department of Cardiology, The Affiliated Hospital of Southwest Jiaotong University, The Third People's Hospital of Chengdu, Sichuan, China
| | - Yiwen Zhang
- Department of Cardiology, The Affiliated Hospital of Southwest Jiaotong University, The Third People's Hospital of Chengdu, Sichuan, China
| | - Xiaoqian Yang
- Department of Cardiology, The Affiliated Hospital of Southwest Jiaotong University, The Third People's Hospital of Chengdu, Sichuan, China
| | - Han Wang
- Department of Cardiology, The Affiliated Hospital of Southwest Jiaotong University, The Third People's Hospital of Chengdu, Sichuan, China
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Wang QL, Xie SH, Li WT, Lagergren J. Smoking Cessation and Risk of Esophageal Cancer by Histological Type: Systematic Review and Meta-analysis. J Natl Cancer Inst 2017; 109. [DOI: 10.1093/jnci/djx115] [Citation(s) in RCA: 44] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/30/2023] Open
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A novel scoring system to analyze combined effect of lifestyle factors on pancreatic cancer risk: a retrospective case-control study. Sci Rep 2017; 7:13657. [PMID: 29057932 PMCID: PMC5651911 DOI: 10.1038/s41598-017-13182-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2017] [Accepted: 09/14/2017] [Indexed: 12/12/2022] Open
Abstract
Although several risk factors for the onset of pancreatic ductal adenocarcinoma (PDAC) have been identified, currently, no scoring system to systemically evaluate the risk of PDAC has been established. In this study, we aimed to use a population of over 1200 patients to build a novel scoring system, and evaluated combined effects of risk factors for PDAC patients.A set of 4904 participants including 1274 PDAC patients and 3630 non-cancer individuals were recruited for the single-center study over 17-year period (1997~2013). Systematic logical analysis were presented for case and control groups, and a risk rating system was constructed to assess combined risk factors. Seven independent risk factors were identified with the increased risk of PDAC, were selected into the risk score. A merged risk assessment model was established, demonstrating significantly increased PDAC risk in following a number of rising scores. Individuals with scores from 1 to more than 4, the responding OR (95% CI) were 3.06 (2.57~3.65), 7.08 (5.63~8.91), 22.4 (14.2~35.4), and 31.4 (12.7~77.5), respectively. The integer-based risk score in the study can be used for risk stratification to accurately evaluate PDAC occurrence at an early stage. This scoring system provides an accurate risk assessment of PDAC risk.
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Li S, Xu Y, Sun Z, Feng L, Shang D, Zhang C, Shi X, Han J, Su F, Yang H, Zhao J, Song C, Zhang Y, Li C, Li X. Identification of a lncRNA involved functional module for esophageal cancer subtypes. MOLECULAR BIOSYSTEMS 2017; 12:3312-3323. [PMID: 27539139 DOI: 10.1039/c6mb00101g] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Esophageal cancer (EC) is the sixth most common cause of death from cancer and has two principal histological subtypes: esophageal squamous cell carcinoma (ESCC) and esophageal adenocarcinoma (EAC). In addition, Barrett's esophagus (BE), due to its strong association with EAC, is generally considered to be a premalignant condition of EAC. lncRNAs are believed to function in initiation and progression of multiple cancers, and therefore should play prominent, but unknown roles in the determination and behavior of different EC subtypes. In this study, by using expression profile re-annotation and differential expression (DE) analysis, we identified DE-lncRNAs and DE-protein-coding genes (DE-PCGs), and then constructed a lncRNA-PCG network, using co-expressed DE-lncRNAs (550) and DE-PCGs (5236), which was also annotated for EC subtypes. After module mining of the network, we obtained twenty candidate lncRNA-PCG modules that were ranked by gene expression and subtype-specification. Within the top four modules, we identified an ESCC specific module, two EAC-BE-specific modules and a heterologous module. Novel candidate lncRNAs were identified, in addition to lncRNAs known to be functionally connected to EC, and could be responsible for the subtype disparities in the GO biological process and at pathway levels.
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Affiliation(s)
- Shang Li
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
| | - Yanjun Xu
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
| | - Zeguo Sun
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
| | - Li Feng
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
| | - Desi Shang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
| | - Chunlong Zhang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
| | - Xinrui Shi
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
| | - Junwei Han
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
| | - Fei Su
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
| | - Haixiu Yang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
| | - Jianmei Zhao
- School of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing 163319, China
| | - Chao Song
- School of Pharmacology, Daqing Campus, Harbin Medical University, Daqing 163319, China
| | - Yunpeng Zhang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
| | - Chunquan Li
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China. and School of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing 163319, China
| | - Xia Li
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
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Qu X, Wang K, Dong W, Shen H, Wang Y, Liu Q, Du J. Association between two CHRNA3 variants and susceptibility of lung cancer: a meta-analysis. Sci Rep 2016; 6:20149. [PMID: 26831765 PMCID: PMC4735583 DOI: 10.1038/srep20149] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2015] [Accepted: 12/30/2015] [Indexed: 02/07/2023] Open
Abstract
Genome-wide association studies (GWAS) have identified two CHRNA3 polymorphisms (rs578776 and rs938682) associated with lung cancer risk. Furthermore, these polymorphisms were investigated and genotyped by PCR analysis. All eligible case-control studies published up to Mar 1st 2015 were identified by searching Pubmed and Embase database. Negative association between rs578776-T allele and risk of lung cancer was obtained without obvious heterogeneity (OR: 0.83, 95% CI: 0.79-0.86; p = 0.898 for Q test). Rs938682-C allele carriers had a 12% to 28% decreased risk. Genotype model analysis showed results of dominant model for rs578776 (OR with 95% CI: 0.839(0.718-0.981)), dominant model for rs938682 (OR with 95% CI: 0.778(0.663-0.912)) and homozygous model for rs938682 (OR with 95% CI: 0.767(0.708-0.831)) were statistically significant. Subgroup analysis indicated rs578776-T variant had protective effect in Smokers, Caucasians, two histology subgroups, and two match subgroups. Meanwhile, rs938682-C allele was associated with decreased risk in Smokers, Caucasians, Lung cancer, and two match subgroups. Meta-regression suggested ethnicity might be the major source of heterogeneity in allele model and homozygous model for rs938682. Moreover, smoking status might contribute to part of heterogeneity under allele model. In summary, this meta-analysis suggested both rs578776 and rs938682 were significantly associated with the susceptibility of lung cancer.
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Affiliation(s)
- Xiao Qu
- Institute of Oncology, Shandong Provincial Hospital Affiliated to Shandong University, Shandong University, 324 Jingwu Road, Jinan, 250021 P.R. China
| | - Kai Wang
- Institute of Oncology, Shandong Provincial Hospital Affiliated to Shandong University, Shandong University, 324 Jingwu Road, Jinan, 250021 P.R. China
| | - Wei Dong
- Department of Thoracic Surgery, Shandong Provincial Hospital Affiliated to Shandong University, Shandong University, 324 Jingwu Road, Jinan, 250021 P.R. China
| | - Hongchang Shen
- Department of Oncology, Shandong Provincial Hospital Affiliated to Shandong University, Shandong University, 324 Jingwu Road, Jinan, 250021 P.R. China
| | - Ying Wang
- Institute of Oncology, Shandong Provincial Hospital Affiliated to Shandong University, Shandong University, 324 Jingwu Road, Jinan, 250021 P.R. China
| | - Qi Liu
- Institute of Oncology, Shandong Provincial Hospital Affiliated to Shandong University, Shandong University, 324 Jingwu Road, Jinan, 250021 P.R. China
| | - Jiajun Du
- Institute of Oncology, Shandong Provincial Hospital Affiliated to Shandong University, Shandong University, 324 Jingwu Road, Jinan, 250021 P.R. China
- Department of Thoracic Surgery, Shandong Provincial Hospital Affiliated to Shandong University, Shandong University, 324 Jingwu Road, Jinan, 250021 P.R. China
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Farid SG, Morris-Stiff G. "OMICS" technologies and their role in foregut primary malignancies. Curr Probl Surg 2015; 52:409-41. [PMID: 26527526 DOI: 10.1067/j.cpsurg.2015.08.001] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2014] [Accepted: 08/03/2015] [Indexed: 12/18/2022]
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Wang AH, Liu Y, Wang B, He YX, Fang YX, Yan YP. Epidemiological studies of esophageal cancer in the era of genome-wide association studies. World J Gastrointest Pathophysiol 2014; 5:335-343. [PMID: 25133033 PMCID: PMC4133530 DOI: 10.4291/wjgp.v5.i3.335] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2014] [Revised: 04/17/2014] [Accepted: 06/03/2014] [Indexed: 02/06/2023] Open
Abstract
Esophageal cancer (EC) caused about 395000 deaths in 2010. China has the most cases of EC and EC is the fourth leading cause of cancer death in China. Esophageal squamous cell carcinoma (ESCC) is the predominant histologic type (90%-95%), while the incidence of esophageal adenocarcinoma (EAC) remains extremely low in China. Traditional epidemiological studies have revealed that environmental carcinogens are risk factors for EC. Molecular epidemiological studies revealed that susceptibility to EC is influenced by both environmental and genetic risk factors. Of all the risk factors for EC, some are associated with the risk of ESCC and others with the risk of EAC. However, the details and mechanisms of risk factors involved in the process for EC are unclear. The advanced methods and techniques used in human genome studies bring a great opportunity for researchers to explore and identify the details of those risk factors or susceptibility genes involved in the process of EC. Human genome epidemiology is a new branch of epidemiology, which leads the epidemiology study from the molecular epidemiology era to the era of genome wide association studies (GWAS). Here we review the epidemiological studies of EC (especially ESCC) in the era of GWAS, and provide an overview of the general risk factors and those genomic variants (genes, SNPs, miRNAs, proteins) involved in the process of ESCC.
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Abstract
This Opinion article discusses emerging evidence of direct contributions of nicotine to cancer onset and growth. The list of cancers reportedly connected to nicotine is expanding and presently includes small-cell and non-small-cell lung carcinomas, as well as head and neck, gastric, pancreatic, gallbladder, liver, colon, breast, cervical, urinary bladder and kidney cancers. The mutagenic and tumour-promoting activities of nicotine may result from its ability to damage the genome, disrupt cellular metabolic processes, and facilitate growth and spreading of transformed cells. The nicotinic acetylcholine receptors (nAChRs), which are activated by nicotine, can activate several signalling pathways that can have tumorigenic effects, and these receptors might be able to be targeted for cancer therapy or prevention. There is also growing evidence that the unique genetic makeup of an individual, such as polymorphisms in genes encoding nAChR subunits, might influence the susceptibility of that individual to the pathobiological effects of nicotine. The emerging knowledge about the carcinogenic mechanisms of nicotine action should be considered during the evaluation of regulations on nicotine product manufacturing, distribution and marketing.
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Affiliation(s)
- Sergei A Grando
- Departments of Dermatology and Biological Chemistry, and Cancer Center and Research Institute, University of California, Irvine, California 92782, USA
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Tang W, Zhang S, Qiu H, Wang L, Sun B, Yin J, Gu H. Genetic variations in MTHFR and esophageal squamous cell carcinoma susceptibility in Chinese Han population. Med Oncol 2014; 31:915. [PMID: 24687778 DOI: 10.1007/s12032-014-0915-6] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2014] [Accepted: 03/07/2014] [Indexed: 12/19/2022]
Abstract
Esophageal cancer is the sixth most common cancer worldwide. Esophageal squamous cell carcinoma (ESCC) is a fatal malignancy associated with low 5-year survival rate. The aim of this study was to assess the association between methylenetetrahydrofolate reductase (MTHFR) tagging single nucleotide polymorphisms (SNPs) rs1801133 C>T, rs3753584 A>G, rs4845882 G>A, rs4846048 A>G and rs9651118 T>C genotypes and ESCC susceptibility in a hospital-based case-control study. We conducted genotyping analyses for these five SNPs with 629 ESCC cases and 686 controls in a Chinese Han population. Ligation detection reaction method was used to identify genotypes of these MTHFR SNPs. Our results demonstrated that MTHFR rs1801133 C>T was associated with the risk of ESCC; however, MTHFR rs4845882 G>A and rs4846048 A>G SNPs were associated with the decreased risk of ESCC, and MTHFR rs3753584 A>G and rs9651118 T>C SNPs were not associated with ESCC risk. Our findings suggests that MTHFR rs1801133 C>T, rs4845882 G>A and rs4846048 A>G SNPs may be genetic modifiers for developing ESCC in Chinese Han population.
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Affiliation(s)
- Weifeng Tang
- Department of Cardiothoracic Surgery, Affiliated People's Hospital of Jiangsu University, Zhenjiang, 212000, China
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Wang H, Cai Y, Cai L, Hu Y, Chen X, Deng J. Altered lipid levels in untreated patients with early polymyositis. PLoS One 2014; 9:e89827. [PMID: 24587064 PMCID: PMC3933648 DOI: 10.1371/journal.pone.0089827] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2013] [Accepted: 01/26/2014] [Indexed: 02/05/2023] Open
Abstract
Background Little is known so far on the lipid profile in polymyositis (PM) patients. Our aim is to identify lipid profiles in untreated patients with early PM, to assess the association between lipid profiles and C-reactive protein (a sensitive marker of inflammation) in these patients. Methods and Findings This work was conducted as a case-control study. Sixty untreated patients with PM and 60 age- and sex-matched healthy controls were included. The duration of PM was less than six months, and none of them had received intermittent or regular corticosteroids or disease-modifying antirheumatic drugs or biological agents prior to the study. Triglyceride (TG), total cholesterol (TC), LDL-cholesterol (LDL-C), and HDL-cholesterol (HDL-C), and C-reactive protein (CRP) were assessed using standard techniques. Thirty patients (50%) had a decreased level of HDL-C and 47% had an increased level of TG. The levels of HDL-C, LDL-C, and TC in PM were significantly lower than in controls (P<0.001, P<0.01, P<0.001, respectively). The level of TG was significantly higher in PM than in controls (P<0.001). The level of very low LDL-cholesterol (VLDL-C), and the ratios of VLDL-C/LDL-C, TC/HDL-C, and LDL-C/HDL-C were significantly higher than in controls (all P<0.001). Serum CRP levels correlated negatively with HDL-C (r = −0.352, P = 0.006) and TC (r = −0.262, P = 0.043). After adjustment for age, gender, smoking, drinking, body mass index, and pulmonary fibrosis/infection, linear regression model demonstrated that CRP is associated with HDL-C among PM patients (P = 0.028). Conclusions Dyslipidemia is a common feature in patients with PM that is characterized by a decrease in HDL-C and an increase in TG, suggesting a high risk of atherosclerosis. The Inflammatory condition in PM may account for the metabolism of HDL-C.
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Affiliation(s)
- Han Wang
- Cardiovascular Disease Research Institute, The Third People’s Hospital of Chengdu, The Second Affiliated Chengdu Clinical College of Chongqing Medical University, Chengdu, Sichuan, People’s Republic of China
- Department of Surgery, Renmin Hospital of Hubei University of Medicine, Shiyan, Hubei, People’s Republic of China
| | - Yingying Cai
- Department of Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, People’s Republic of China
| | - Lin Cai
- Cardiovascular Disease Research Institute, The Third People’s Hospital of Chengdu, The Second Affiliated Chengdu Clinical College of Chongqing Medical University, Chengdu, Sichuan, People’s Republic of China
| | - Yingchun Hu
- Department of Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, People’s Republic of China
| | - Xianxiang Chen
- Department of Surgery, Renmin Hospital of Hubei University of Medicine, Shiyan, Hubei, People’s Republic of China
- * E-mail: (JD); (XC)
| | - Juelin Deng
- Department of Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, People’s Republic of China
- * E-mail: (JD); (XC)
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