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Chen Chen,* Yan-Mei Liu,* Shu-Xia Xuan, Mei-Fang Zhou, Peng Zhou, Bin Cheng, Jin-Duan Lin, Wei-Guo Yin, Lin-Hai Li Department of Laboratory Medicine, The Sixth Affiliated Hospital of Guangzhou Medical University, Qingyuan People’s Hospital, Qingyuan, People’s Republic of China*These authors contributed equally to this workCorrespondence: Wei-Guo Yin; Lin-Hai LiDepartment of Laboratory Medicine, The Sixth Affiliated Hospital of Guangzhou Medical University, Qingyuan People’s Hospital, Qingyuan, 511518, People’s Republic of ChinaTel +86 763 311 3890Email wgy09dr_mn@163.com; lilinhai_abc@outlook.comObjective: To establish and verify the method for detecting the immune phenotype of peripheral blood T lymphocytes by cellular immune chip technology, analyze the immune status, and discuss its clinical diagnostic value of different populations in the Qingyuan area.Methods: First, a cellular immune chip was used to detect the number of T lymphocyte subsets CD3+, CD4+, CD8+, and CD4/CD8, followed by evaluating the accuracy and precision through a comparison with flow cytometry. After passing the performance verification, a large-scale detection was performed by a cellular immune chip in 8389 cases. Immunochip technology detects the expression of T lymphocyte subsets and analyzes the differences in cellular immune function among people with physical examination, inflammation, and cancer, as well as different cancer types and in genders.Results: The cell immunochip method and flow cytometry method have the same accuracy and precision in detecting specimens, and the former is fast and simple, and is suitable for clinical use; big data analysis is expected to establish a reference range for CD3+, CD4+, and CD8+ T cell counts in Qingyuan. There are statistical differences in CD3+, CD4+, CD8+ T cell counts in physical examination, inflammation and cancer populations; there are also certain differences in CD3+, CD4+, CD8+ T cell counts and CD4/CD8 ratios between different cancer types and different diseases.Conclusion: The method of cell immunochip technology to detect T lymphocyte subsets is simple and practical, with accurate results and rapid detection. It can be used for immune function monitoring and treatment prognosis evaluation of people with different diseases, and it is worthy of popularization and application in clinical practice.Keywords: T lymphocyte, physical examination, CD4/CD8, cellular immune chip

Li-Ping Zhu,1,&ast; Wei-Lan Yin,2,&ast; Lei Peng,1,&ast; Xiao-Hong Zhou,3 Peng Zhou,1 Shu-Xia Xuan,1 Ying Luo,1 Chen Chen,1 Bin Cheng,1 Jin-Duan Lin,1 Yan-Mei Liu,1 Feng-Jun Tan,4 Wei-Guo Yin1,&ast; 1Department of Molecular Diagnosis Center, The Sixth Affiliated Hospital of Guangzhou Medical University, Qingyuan People’s Hospital, Qingyuan, 511518, Guangdong, People’s Republic of China; 2Department of Physiology & Institute of Neuroscience, University of South China, Hengyang, 421001, Hunan, People’s Republic of China; 3Kingmed Diagnostic Center for Clinical Laboratory, Guangzhou, 510330, Guangdong, People’s Republic of China; 4Department of Otorhinolaryngology, The Sixth Affiliated Hospital of Guangzhou Medical University, Qingyuan People’s Hospital, Qingyuan, 511518, Guangdong, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Wei-Guo YinDepartment of Molecular Diagnosis Center, The Sixth Affiliated Hospital of Guangzhou Medical University, Qingyuan People’s Hospital, No. B24, Xincheng Yinquan Road, Qingcheng District, Qingyuan, 511518, Guangdong, People’s Republic of ChinaTel +86 763 311 3890Email wgy09dr_mn@163.comObjective: This study explored the correlation between myocardial infarction (MI) and the Glu504Lys polymorphism in the aldehyde dehydrogenase 2 (ALDH2) gene in the Qingyuan area.Methods: The Glu504Lys polymorphism of the ALDH2 gene was analyzed using the polymerase chain reaction and deoxyribonucleic acid microarray analysis for 468 patients diagnosed with MI for the first time and 132 healthy subjects.Results: There was a significant difference in the distribution of the ALDH2 genotype between the MI group and the control group (P = 0.0492), but there was no significant difference in allele frequency between the two groups (P = 0.1363). The clinical data showed that there were statistically significant differences (P < 0.05) in the two groups’ gender and age distributions, rates of diabetes and hypertension, levels of alcohol and tobacco use, serological levels of heart markers, blood lipids and glucose. The subgroup analysis of ALDH2 genotypes found that alcohol consumption, high levels of myoglobin, and low levels of high-density lipoprotein cholesterol were significantly associated with a higher incidence of MI (P < 0.05). After adjusting for gender, hypertension, diabetes, and other related influencing factors, logistic regression analysis showed that the ALDH2 genotype GA/AA was an independent risk factor for MI (P < 0.05, OR = 1.479, 95% CI = 1.003– 2.179).Conclusion: The presence of risk alleles with the genetic effect (ALDH2 genotype GA/AA) is an independent risk factor for MI.Keywords: myocardial infarction, aldehyde dehydrogenase 2, polymorphism