Colorectal cancer is one of the malignant tumors with the highest mortality rate in the world. Survival rates vary significantly among patients at various stages of the disease. A biomarker capable of early diagnosis is required to facilitate the early detection and treatment of colorectal cancer. Human endogenous retroviruses (HERVs) are abnormally expressed in various diseases, including cancer, and have been involved in cancer development. Real-time quantitative PCR was used to detect the transcript levels of HERV-K(HML-2)
Objectives Our objective was to determine the antibody and cytokine profiles in different COVID-19 patients. Methods COVID-19 patients with different clinical classifications were enrolled in this study. The level of IgG antibodies, IgA, IgM, IgE, and IgG subclasses targeting N and S proteins were tested using ELISA. Neutralizing antibody titers were determined by using a toxin neutralization assay (TNA) with live SARS-CoV-2. The concentrations of 8 cytokines, including IL-2, IL-4, IL-6, IL-10, CCL2, CXCL10, IFN-γ, and TNF-α, were measured using the Protein Sample Ella-Simple ELISA system. The differences in antibodies and cytokines between severe and moderate patients were compared by t-tests or Mann-Whitney tests. Results A total of 79 COVID-19 patients, including 49 moderate patients and 30 severe patients, were enrolled. Compared with those in moderate patients, neutralizing antibody and IgG-S antibody titers in severe patients were significantly higher. The concentration of IgG-N antibody was significantly higher than that of IgG-S antibody in COVID-19 patients. There was a significant difference in the distribution of IgG subclass antibodies between moderate patients and severe patients. The positive ratio of anti-S protein IgG3 is significantly more than anti-N protein IgG3, while the anti-S protein IgG4 positive rate is significantly less than the anti-N protein IgG4 positive rate. IL-2 was lower in COVID-19 patients than in healthy individuals, while IL-4, IL-6, CCL2, IFN-γ, and TNF-α were higher in COVID-19 patients than in healthy individuals. IL-6 was significantly higher in severe patients than in moderate patients. The antibody level of anti-S protein was positively correlated with the titer of neutralizing antibody, but there was no relationship between cytokines and neutralizing antibody. Conclusions Our findings show the severe COVID-19 patients’ antibody levels were stronger than those of moderate patients, and a cytokine storm is associated with COVID-19 severity. There was a difference in immunoglobulin type between anti-S protein antibodies and anti-N protein antibodies in COVID-19 patients. And clarified the value of the profile in critical prevention.
Hematological malignant tumors (HMTs) are serious diseases that threaten human health and life with high mortality. Therefore, it is necessary to develop novel strategies for diagnosis and treatment. Human endogenous retroviruses (HERVs) have recently attracted increasing attention as potential targets for cancer diagnosis and therapy. In this study, we explored the association between HERV-K expression levels and HMTs development. Clinical data and peripheral blood samples were collected from 236 leukemia, 384 lymphoma patients, and 69 healthy controls. Quantitative polymerase chain reaction was used to detect the expression of HERV-K gag, pol, and env genes in peripheral blood mononuclear cells or different cell subpopulations. Differently expressed HERV-K genes were further tested by using deep sequencing method, and further analyzed with gene ontology (GO) annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment. B cell- and T cell-related cytokines in patients were also detected by enzyme-linked immunosorbent assay (ELISA). The results showed that the expression levels of the HERV-K gag, pol, and env genes in patients were significantly higher than in healthy controls. There was a correlation between the expression level of HERV-K and the clinicopathological parameters of leukemia patients. HERV-K expression was increased in the B lymphocytes of leukemia and lymphoma patients, but not in the T cells or neutrophils. The GO and KEGG analyses showed that abnormal expression of the HERV-K locus in patients affected immune regulation. The analysis of cytokines proved that the B cell-related cytokines, including interleukin (IL)-1β, IL-2, IL-4, IL-6, IL-10, tumor necrosis factor (TNF)-α, and interferon-gamma, were significantly decreased in patients, while the T cell-related cytokines, including IL-3, IL-12, and TNF-β, were not significantly changed. In conclusion, HERV-K genes might participate in the occurrence and development of leukemia and lymphoma, and might be biomarkers for the detection or evaluation of leukemia and lymphoma.
Abstract Objectives The ‘treat-all’ strategy was implemented in Shenzhen, China in 2016. The effect of this extensive treatment on transmitted drug resistance (TDR) of HIV is unclear. Methods TDR analysis was performed, based on the partial HIV-1 pol gene obtained from the newly reported HIV-1 positive cases from 2011 to 2019 in Shenzhen, China. The HIV-1 molecular transmission networks were inferred to analyse the spread of TDR. Logistic regression was used to identify the potential risk factors with TDR mutations (TDRMs) to cluster. Results A total of 12 320 partial pol sequences were included in this study. The prevalence of TDR was 2.95% (363/12 320), which increased from 2.57% to 3.52% after ‘treat-all’. The TDR prevalence was increased in populations with the characteristics of CRF07_BC, being single, educated to junior college level and above, MSM and male. The sensitivities of viruses to six antiretroviral drugs were decreased. The clustering rate of TDRMs remained stable, and the sequences in the three drug resistance transmission clusters (DRTCs) were mainly found during 2011–16. CRF07_BC and CRF55_01B were the factors associated with TDRMs clustering in the networks. Conclusions The ‘treat-all’ strategy might have contributed to a small increase in TDR, while most of the TDRMs were distributed sporadically, which implies that the ‘treat-all’ strategy is helpful for the control of TDR in high-risk populations.
High level of HIV prevalence was found in some specific areas or populations in China. Shijingshan district was one of the areas with rapid increase of newly reported HIV cases in Beijing, China. Comprehensive investigation on HIV genetic characteristics is necessary in the district. In this study, we enrolled 223 newly identified HIV-1 sero-positive drug-naive patients from Shijingshan district. The full-length gag, pol, and partial env gene sequences were amplified and sequenced. Genetic characterization and transmission of drug resistance of HIV-1 were further investigated. Many stains, including CRF01_AE (48.25%), CRF07_BC (31.47%), subtype B (4.9%), 55_01B (1.40%), 59_01B (0.70%), 65_cpx (2.10%), 79_0107 (0.70%), and A (0.70%) and unique recombinant forms (URF) of 0107 (6.29%), 01B (1.40%), and 01BC (2.10%), were identified. Among 106 strains that harbor full-length PR gene, 10 (9.43%) strains contain mutations associated with drug resistance to protease inhibitors. Among 59 strains that harbor full-length reverse transcriptase (RT) gene, no strains contained mutations conferred to nucleoside reverse transcriptase inhibitors resistance and 4 strains (6.78%) contained drug-resistant mutations to non-nucleoside reverse transcriptase inhibitors. Among 58 sequences harboring full-length IN gene, 1 stain (1.72%) contained a mutation causing drug resistance to integrase strand transfer inhibitors. Our results provided detailed genetic data on HIV prevalent in Shijingshan district of Beijing, which would be helpful for understanding HIV-1 transmission among local populations.
'/%3e%3cuse xlink:href='%23a' transform='rotate(23.036 .093 25.536)'/%3e%3cuse xlink:href='%23a' transform='rotate(45.87 1.273 16.18)'/%3e%3cuse xlink:href='%23a' transform='rotate(69.945 .996 12.078)'/%3e%3cuse xlink:href='%23a' transform='rotate(20.66 -19.689 31.932)'/%3e%3c/svg%3e)
'%3e%3cpath fill='%23012169' d='M0 0v30h60V0z'/%3e%3cpath stroke='%23fff' stroke-width='6' d='m0 0 60 30m0-30L0 30'/%3e%3cpath stroke='%23C8102E' stroke-width='4' d='m0 0 60 30m0-30L0 30' clip-path='url(%23b)'/%3e%3cpath stroke='%23fff' stroke-width='10' d='M30 0v30M0 15h60'/%3e%3cpath stroke='%23C8102E' stroke-width='6' d='M30 0v30M0 15h60'/%3e%3c/g%3e%3c/svg%3e)