| Literature DB >> 33920428 |
Elikanah Olusayo Adegoke1, Md Saidur Rahman1, Yoo-Jin Park1, Young Ju Kim2, Myung-Geol Pang1.
Abstract
Endocrine-disrupting chemicals (EDCs) are hormonally active compounds in the environment that interfere with the body's endocrine system and consequently produce adverse health effects. Despite persistent public health concerns, EDCs remain important components of common consumer products, thus representing ubiquitous contaminants to humans. While scientific evidence confirmed their contribution to the severity of Influenza A virus (H1N1) in the animal model, their roles in susceptibility and clinical outcome of the coronavirus disease (COVID-19) cannot be underestimated. Since its emergence in late 2019, clinical reports on COVID-19 have confirmed that severe disease and death occur in persons aged ≥65 years and those with underlying comorbidities. Major comorbidities of COVID-19 include diabetes, obesity, cardiovascular disease, hypertension, cancer, and kidney and liver diseases. Meanwhile, long-term exposure to EDCs contributes significantly to the onset and progression of these comorbid diseases. Besides, EDCs play vital roles in the disruption of the body's immune system. Here, we review the recent literature on the roles of EDCs in comorbidities contributing to COVID-19 mortality, impacts of EDCs on the immune system, and recent articles linking EDCs to COVID-19 risks. We also recommend methodologies that could be adopted to comprehensively study the role of EDCs in COVID-19 risk.Entities:
Keywords: COVID-19; comorbid diseases; endocrine disrupting chemicals; immune dysfunction
Mesh:
Substances:
Year: 2021 PMID: 33920428 PMCID: PMC8069594 DOI: 10.3390/ijms22083939
Source DB: PubMed Journal: Int J Mol Sci ISSN: 1422-0067 Impact factor: 5.923
Figure 1The 10 commonly used endocrine-disrupting chemicals (EDCs) and their common sources.
Figure 2Heatmap representing the number of articles published on the 10 commonly used endocrine-disrupting chemicals (EDCs) in association with particular diseases. Data were collected by a thorough search of the Web of Science database. Only peer-reviewed papers published in English from 1978 to 2020 on specific EDCs and diseases were included.
Selected clinical studies on major comorbidities of COVID-19 and clinical outcomes.
| Sample Size (n) | Sex (%) | Sample Collection | Total Comorbidity (%) | Major Comorbidities (%) | Clinical Outcomes (%) | References |
|---|---|---|---|---|---|---|
| 138 | Male (54.3) | Zhongnan Hospital, Wuhan, China | 46.4 | Hypertension (31.2) | ICU patients (26.08) | Wang et al. [ |
| 41 | Male (73.0) | Jin Yin-tan Hospital, Wuhan, China | 32 | Diabetes (20) | ICU patients (31.70) | Huang et al. [ |
| 548 | Male (50.9) | Tongji | 64.6 | Hypertension (30.3) | Death (16.5) | Li et al. [ |
| 191 | Male (62) | Jinyintan Hospital and Wuhan Pulmonary Hospital, China | 48 | Hypertension (30) | Survivor (70.72) | Zhou et al. [ |
| 663 | Male (48.4) | Renmin Hospital, Wuhan, China | 37.3 | Lung disease (7.7) | Death (67.1) | Zhang et al. [ |
| 52 | Male (67) | Yin-tan hospital, Wuhan, China | 40 | Diabetes (17) | Died (61.53) | Yang et al. [ |
| NM | NM | North Carolina, USA | Cardiovascular diseases (14.0) | NM | NCDHHS [ | |
| 305 | Male (49.5) | A hospital in Georgia, USA | 94.09 | Diabetes (39.7) | Died (17.1) | Gold et al. [ |
| 1099 | Male (58.1) | Wuhan Jinyintan Hospital, Wuhan, China | 23.7 | Hypertension (15.0) | Died (1.4) | Guan et al. [ |
| 74 | Male (50.0) | Hospitals in the Zhejiang | 33.78 | Hypertension (16.22) | Severe cases (22.97) | Jin et al. [ |
| 1590 | Male (57.3) | Throughout China | 25.09 | Diabetes (8.2) | Death (3.1) | Guan et al. [ |
| 99 | Male (68) | Jinyintan Hospital, Wuhan, China | 51% | Cardiovascular disease (40) | Died (11) | Chen et al. [ |
| 44,672 | NM | Hubei Province, China | NM | Cardiovascular disease (10.5) | Died (2.3) | Wu and McGooga [ |
| 140 | Female (49.3) | Hospitals in Wuhan, China | 64.3 | Hypertension (30.0) | Non-severe cases (58.57) | |
| 7162 | NM | USA | 37.6 | Diabetes (10.9) | ICU patient (14) | CDC [ |
| 202 | Male (57.4) | Jiangsu province, China | 27.2 | Hypertension (14.4) | Death (0) | Huang et al. [ |
NM: Not mentioned. ICU: Intensive Care Unit. The percentage of dead patients is calculated within the selective period of time when the analysis was carried out; therefore, it may not represent the number of actual fatalities (%).