{"title":"评估 DNA 甲基化(5-mC)在检测职业性铅暴露严重程度方面的诊断准确性和临床实用性。","authors":"Ravibabu Kalahasthi, Vinay Kumar Adepu, Raju Nagaraju","doi":"10.1007/s12291-023-01138-z","DOIUrl":null,"url":null,"abstract":"<p><p>This study investigated the diagnostic accuracy (DA) and clinical utility (CU) of DNA methylation (5 methylcytosine) in occupational Pb-exposure from Pb based industry. Blood Lead levels (BLLs) were measured using the ICP-OES method. The total DNA methylation (5-mC) was quantified using ELISA method. Based on their BLLs, the Pb-exposed workers were categorised into three groups: low (< 10 µg/dL), moderate (10-30 µg/dL), and high exposure (> 30 µg/dL). DNA methylation (5-mC) was significantly lower in moderate and high Pb-exposure groups when compared to the low Pb-exposure group. Workers exposed to high levels of Pb-exposure, the DA variables of 5-mC showed that the sensitivity was 74.7% [95% CI 65.4-84.0], specificity was 69.6% [95% CI 50.8-88.4], positive predictive value (PPV) was 89.9% [95% CI 82.7-97.0], Postive likelihood ratio (LR+) was 2.454 [95% CI 1.3-4.6], and diagnostic odds ratio (DOR) is 6.3 [95% CI 6.5-7.7]. In moderate Pb-exposure, the DA variables of 5-mC revealed that the sensitivity is 64.9% [95% CI 55.2-74.5], the specificity is 69.6% [95% CI 50.8-88.4], the PPV is 89.7% [95% CI 82.5-97.0], the LR+ is 2.132 [95% CI 1.13-4.03], and the DOR is 4.2 [95% CI 3.6-5.7]. The high Pb-exposure group had higher DA metrics when compared to moderate Pb exposure. The clinical utility (CU+) of 5-mC was found to have good utility of 0.671 [95% CI 0.566-0.776] in the high Pb exposure group and fair utility of 0.582 [95% CI 0.470-0.694] in moderate Pb exposure group. In conclusion, DNA methylation (5mC) could be used as a predictive biomarker for high Pb-exposure.</p>","PeriodicalId":22351,"journal":{"name":"Tectonics","volume":"12 1","pages":"572-578"},"PeriodicalIF":3.3000,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11436711/pdf/","citationCount":"0","resultStr":"{\"title\":\"Assessment of Diagnostic Accuracy and Clinical Utility of DNA Methylation (5-mC) in Detecting Severity of Occupational Lead Exposure.\",\"authors\":\"Ravibabu Kalahasthi, Vinay Kumar Adepu, Raju Nagaraju\",\"doi\":\"10.1007/s12291-023-01138-z\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>This study investigated the diagnostic accuracy (DA) and clinical utility (CU) of DNA methylation (5 methylcytosine) in occupational Pb-exposure from Pb based industry. Blood Lead levels (BLLs) were measured using the ICP-OES method. The total DNA methylation (5-mC) was quantified using ELISA method. Based on their BLLs, the Pb-exposed workers were categorised into three groups: low (< 10 µg/dL), moderate (10-30 µg/dL), and high exposure (> 30 µg/dL). DNA methylation (5-mC) was significantly lower in moderate and high Pb-exposure groups when compared to the low Pb-exposure group. Workers exposed to high levels of Pb-exposure, the DA variables of 5-mC showed that the sensitivity was 74.7% [95% CI 65.4-84.0], specificity was 69.6% [95% CI 50.8-88.4], positive predictive value (PPV) was 89.9% [95% CI 82.7-97.0], Postive likelihood ratio (LR+) was 2.454 [95% CI 1.3-4.6], and diagnostic odds ratio (DOR) is 6.3 [95% CI 6.5-7.7]. In moderate Pb-exposure, the DA variables of 5-mC revealed that the sensitivity is 64.9% [95% CI 55.2-74.5], the specificity is 69.6% [95% CI 50.8-88.4], the PPV is 89.7% [95% CI 82.5-97.0], the LR+ is 2.132 [95% CI 1.13-4.03], and the DOR is 4.2 [95% CI 3.6-5.7]. The high Pb-exposure group had higher DA metrics when compared to moderate Pb exposure. The clinical utility (CU+) of 5-mC was found to have good utility of 0.671 [95% CI 0.566-0.776] in the high Pb exposure group and fair utility of 0.582 [95% CI 0.470-0.694] in moderate Pb exposure group. In conclusion, DNA methylation (5mC) could be used as a predictive biomarker for high Pb-exposure.</p>\",\"PeriodicalId\":22351,\"journal\":{\"name\":\"Tectonics\",\"volume\":\"12 1\",\"pages\":\"572-578\"},\"PeriodicalIF\":3.3000,\"publicationDate\":\"2024-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11436711/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Tectonics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/s12291-023-01138-z\",\"RegionNum\":1,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2023/6/12 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"GEOCHEMISTRY & GEOPHYSICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Tectonics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s12291-023-01138-z","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/6/12 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"GEOCHEMISTRY & GEOPHYSICS","Score":null,"Total":0}
引用次数: 0
摘要
本研究调查了 DNA 甲基化(5 甲基胞嘧啶)在铅工业职业性铅暴露中的诊断准确性(DA)和临床实用性(CU)。采用 ICP-OES 方法测量血液铅含量 (BLL)。DNA 总甲基化(5-mC)采用 ELISA 方法进行量化。根据他们的血铅含量,受铅污染的工人被分为三组:低(30 µg/dL)组、中(30 µg/dL)组和高(30 µg/dL)组。与低铅暴露组相比,中度和高度铅暴露组的 DNA 甲基化(5-mC)明显较低。在暴露于高浓度铅的工人中,5-mC 的 DA 变量显示灵敏度为 74.7% [95% CI 65.4-84.0],特异性为 69.6% [95% CI 50.8-88.4],阳性预测值(positive predictive value,阳性预测值)为 0.5%。阳性预测值(PPV)为 89.9% [95% CI 82.7-97.0],阳性似然比(LR+)为 2.454 [95% CI 1.3-4.6],诊断几率比(DOR)为 6.3 [95% CI 6.5-7.7]。在中度铅暴露中,5-mC 的 DA 变量显示灵敏度为 64.9% [95% CI 55.2-74.5],特异性为 69.6% [95% CI 50.8-88.4],PPV 为 89.7% [95% CI 82.5-97.0],LR+ 为 2.132 [95% CI 1.13-4.03],DOR 为 4.2 [95% CI 3.6-5.7]。与中度铅暴露相比,高铅暴露组的 DA 指标更高。在高铅暴露组,5-mC 的临床实用性(CU+)为 0.671 [95% CI 0.566-0.776],良好;在中度铅暴露组,5-mC 的临床实用性为 0.582 [95% CI 0.470-0.694],一般。总之,DNA甲基化(5mC)可作为高铅暴露的预测性生物标志物。
Assessment of Diagnostic Accuracy and Clinical Utility of DNA Methylation (5-mC) in Detecting Severity of Occupational Lead Exposure.
This study investigated the diagnostic accuracy (DA) and clinical utility (CU) of DNA methylation (5 methylcytosine) in occupational Pb-exposure from Pb based industry. Blood Lead levels (BLLs) were measured using the ICP-OES method. The total DNA methylation (5-mC) was quantified using ELISA method. Based on their BLLs, the Pb-exposed workers were categorised into three groups: low (< 10 µg/dL), moderate (10-30 µg/dL), and high exposure (> 30 µg/dL). DNA methylation (5-mC) was significantly lower in moderate and high Pb-exposure groups when compared to the low Pb-exposure group. Workers exposed to high levels of Pb-exposure, the DA variables of 5-mC showed that the sensitivity was 74.7% [95% CI 65.4-84.0], specificity was 69.6% [95% CI 50.8-88.4], positive predictive value (PPV) was 89.9% [95% CI 82.7-97.0], Postive likelihood ratio (LR+) was 2.454 [95% CI 1.3-4.6], and diagnostic odds ratio (DOR) is 6.3 [95% CI 6.5-7.7]. In moderate Pb-exposure, the DA variables of 5-mC revealed that the sensitivity is 64.9% [95% CI 55.2-74.5], the specificity is 69.6% [95% CI 50.8-88.4], the PPV is 89.7% [95% CI 82.5-97.0], the LR+ is 2.132 [95% CI 1.13-4.03], and the DOR is 4.2 [95% CI 3.6-5.7]. The high Pb-exposure group had higher DA metrics when compared to moderate Pb exposure. The clinical utility (CU+) of 5-mC was found to have good utility of 0.671 [95% CI 0.566-0.776] in the high Pb exposure group and fair utility of 0.582 [95% CI 0.470-0.694] in moderate Pb exposure group. In conclusion, DNA methylation (5mC) could be used as a predictive biomarker for high Pb-exposure.
期刊介绍:
Tectonics (TECT) presents original scientific contributions that describe and explain the evolution, structure, and deformation of Earth¹s lithosphere. Contributions are welcome from any relevant area of research, including field, laboratory, petrological, geochemical, geochronological, geophysical, remote-sensing, and modeling studies. Multidisciplinary studies are particularly encouraged. Tectonics welcomes studies across the range of geologic time.