1.Screening of CLEC3B protein based on bioinformatics and its role in diagnosing sepsis
Yuting ZHANG ; Fulong LUO ; Yingchun HU ; Muhu CHENG ; Wu ZHONG
China Medical Equipment 2024;21(1):119-122,129
Objective:To investigate the CLEC3B protein of differentially expressed proteins(DEPs)in serum of normal persons and patients with sepsis,and explore the possibility that target C-type lectin domain family 3 member B(CLEC3B)protein was used as molecular markers of sepsis.Methods:Peripheral bloods of 10 healthy persons and 18 patients with sepsis were collected,and the data of peripheral serum proteins were collected by data independent acquisition(DIA)method.The data were uploaded to iDEP online platform to analyze the DEPs in peripheral blood of patients with sepsis.Bioinformatics analysis of these DEPs was conducted to screen out the key proteins of sepsis.Enzyme linked immunosorbent assay(ELISA)was used to verify and plot the receiver operating characteristic(ROC)curves of key proteins.Results:A total of 138 differentially expressed proteins(DEPs)were screened out by using proteomics analysis,of which 34 kinds of proteins were significantly down-regulated and 104 kinds of proteins were significantly up-regulated.DEPs mostly concentrated in cellular processes,biological regulation,biological process regulation,participating binding,catalytic activation,molecular function regulation,immune system,signal transduction and so on.A protein-protein interaction network was constructed by DEPs,which screened out the key protein CLEC3B.ELISA results showed that the CLEC3B protein concentration[(297.73±22.00)ng/mL]of patients in the sepsis group was significantly lower than that[(452.42±191.72)ng/mL]in the healthy group,and the difference was statistically significant(t=13.13,P=0.000).The area under curve(AUC)value of ROC curve,sensitivity and specificity of CLEC38 protein were respectively 0.998,97.73%and 100.0%.Conclusion:CLEC3B is significantly decreased in sepsis group,which sensitivity and specificity are high.It can be used as a potentially biological diagnostic biomarker of sepsis.
2.Analysis of drug-resistant mutations in human immunodeficiency virus-1 infected patients in Chongqing City from 2014 to 2018
Mei LI ; Jungang LI ; Fulong LUO ; Jing WANG ; Yaokai CHEN ; Mei HAN ; Renni DENG
Chinese Journal of Infectious Diseases 2020;38(5):283-287
Objective:To investigate the drug-resistant mutations of human immunodeficiency virus-1 (HIV-1) in patients who received highly active antiretroviral therapy (HAART) from 2014 to 2018.Methods:A total of 880 patients with HIV-1 infection who had been treated with HAART for more than six months in Chongqing Infectious Disease Medical Center from May 2014 to December 2018 were enrolled. Plasma samples were collected, and one-step reverse transcription-polymerase chain reaction (PCR) and nested PCR were taken to amplify protease and reverse transcriptase regions of HIV-1 pol gene region. The obtained amplified nucleotide sequences were compared with the drug resistance database for antiviral drug resistance analysis. Viral genotyping tool software was used to analyze HIV-1 subtype distribution. The categorical variables were compared using chi-square test. Results:Among 880 patients, the plasma HIV-1 viral load was (4.12±0.63) lg copies/mL, the CD4 + T lymphocyte count was (251±124)/μL, and the median duration of antiviral therapy was 26 months. In the subtypes analysis, the circulating recombinant form (CRF) 01-AE subtype was the largest proportion of HIV-1 subtypes, accounting for 38.9%(342/880), and the CRF07-BC subtype accounted for 28.5%(251/880), B+ C subtypes accounted for 16.2%(143/880). Drug-resistant mutations were detected in 534 patients, with a total drug resistance rate of 60.7%. The drug resistance rates of nucleoside reverse transcriptase inhibitors (NRTI), non-nucleoside reverse transcriptase inhibitors (NNRTI) and protease inhibitors (PI) were 51.0%(449/880), 58.6%(516/880) and 1.7%(15/880), respectively. The drug resistances to lamivudine, emtricitabine, efavirenz, and nevirapine were serious, and the medium/high resistance rates were 46.8%(412/880), 46.8%(412/880), 51.3%(451/880), and 53.6%(472/880), respectively, while those to zidomidudine (6.0%, 53/880), etravirin (9.0%, 451/880) and PI were not serious. M184IV (47.3%), K65R (22.2%) and K70RE (12.6%) were the most frequent mutations for NRTI. K103NS (25.1%), V106A (19.7%) and V179DE (14.4%) were the most frequent mutations for NNRTI. The most common drug-resistant mutations for PI were L10FIV (7.4%) and A71IVT (6.5%). The drug resistance rate of CRF01-AE subtype (69.3%, 237/342) was higher than those of CRF07-BC subtype (49.8%, 125/251) and B+ C subtype (51.0%, 73/143), the differences were statistically significant ( χ2=22.6 and 14.6, respectively, both P<0.05). Conclusions:The incidence of drug resistance is high among HIV-1 infected patients after six-month HAART treatment in Chongqing City. The drug resistance to NNRTI is the most common, followed by NRTI, while PI is less resistant. Drug resistance is the main reason for the virological breakthrough in HIV-1 infected patients.