Yong-Qiao He1,2, Xiao-Yu Liao3, Wen-Qiong Xue1,2, Ya-Fei Xu4, Feng-Hua Xu1,2, Fang-Fang Li1,2, Xi-Zhao Li1,2, Jiang-Bo Zhang1,2, Tong-Min Wang1,2, Fang Wang1,2, Huan-Lin Yu1,2, Qi-Sheng Feng1,2, Li-Zhen Chen1,2, Su-Mei Cao1,2, Qing Liu1,2, Jianbing Mu5, Wei-Hua Jia1,2,6,7. 1. Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China, Guangzhou. 2. Collaborative Innovation Center for Cancer Medicine; Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou. 3. Department of Endocrinology, Xinqiao Hospital, Third Military Medical University, Chongqing. 4. Shenzhen University Health Science Center, Shenzhen, China. 5. Laboratory of Malaria and Vector Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville, Maryland. 6. School of Public Health, Sun Yat-Sen University, Guangzhou. 7. Cancer Center of Guangzhou Medical University, Guangzhou.
Abstract
Background: Oral Epstein-Barr virus (EBV) status reflects host EBV activity and potentially links to EBV-associated diseases, however, factors influencing oral EBV loads or reactivation, such as environmental exposures or host factors, are not fully understood. Methods: A 2-stage, multicenter, cross-sectional study of 6558 subjects from 21 administrative cities of southern China and 3 populations from representative geographical areas in China (referred to as the south, north, and northeastern populations) was performed. The relationships between demographical factors and environmental exposures to EBV loads were analyzed by logistic regression models. Results: Current smoking, with a dose-response effect, was found to be strongly associated with higher oral EBV loads in the pooled data, with an odds ratio of 1.58 (95% confidence interval, 1.39-1.79), as well as in each of the separate populations. The odds ratio increased to 3.06 when current smokers in southern China were compared to never smokers in northern China. Additionally, higher oral EBV loads tended to be detected in older participants, male participants, and participants in southern China. Conclusions: This study provided evidence linking the effect of host-environmental factors, particularly smoking, to oral EBV activity. It could strengthen our understanding of the possible causal roles of EBV-related diseases, which may help to prevent or mitigate EBV-associated diseases.
Background: Oral Epstein-Barr virus (EBV) status reflects host EBV activity and potentially links to EBV-associated diseases, however, factors influencing oral EBV loads or reactivation, such as environmental exposures or host factors, are not fully understood. Methods: A 2-stage, multicenter, cross-sectional study of 6558 subjects from 21 administrative cities of southern China and 3 populations from representative geographical areas in China (referred to as the south, north, and northeastern populations) was performed. The relationships between demographical factors and environmental exposures to EBV loads were analyzed by logistic regression models. Results: Current smoking, with a dose-response effect, was found to be strongly associated with higher oral EBV loads in the pooled data, with an odds ratio of 1.58 (95% confidence interval, 1.39-1.79), as well as in each of the separate populations. The odds ratio increased to 3.06 when current smokers in southern China were compared to never smokers in northern China. Additionally, higher oral EBV loads tended to be detected in older participants, male participants, and participants in southern China. Conclusions: This study provided evidence linking the effect of host-environmental factors, particularly smoking, to oral EBV activity. It could strengthen our understanding of the possible causal roles of EBV-related diseases, which may help to prevent or mitigate EBV-associated diseases.
Authors: Y M Lo; L Y Chan; K W Lo; S F Leung; J Zhang; A T Chan; J C Lee; N M Hjelm; P J Johnson; D P Huang Journal: Cancer Res Date: 1999-03-15 Impact factor: 12.701
Authors: Jia Huang Lin; Chi Pang Wen; Chao Qiang Jiang; Jian-Min Yuan; Chien Jen Chen; Sai Yin Ho; Wayne Gao; Weisen Zhang; Renwei Wang; Yin-Chu Chien; Lin Xu; Xifeng Wu; Ya Li Jin; Woon-Puay Koh; Wan-Lun Hsu; Feng Zhu; Christopher Wen; Tong Zhu; June Han Lee; Zhi-Ming Mai; Maria Li Lung; Tai-Hing Lam Journal: Int J Epidemiol Date: 2021-07-09 Impact factor: 7.196
Authors: Tomas Olsson; Lars Alfredsson; Anna Karin Hedström; Jesse Huang; Nicole Brenner; Julia Butt; Jan Hillert; Tim Waterboer; Ingrid Kockum Journal: Sci Rep Date: 2020-07-03 Impact factor: 4.379