Objective To investigate the clinical application value of GeneXpert Mycobacterium tuberculosis (MTB)/ rifampin (RIF) in urine samples for tuberculosis diagnosis. Methods The patients with clinically highly suspected tuberculosis admitted to West China Hospital of Sichuan University between January 1, 2018 and June 1, 2023 were selected retrospectively. The diagnostic efficacy of urine GeneXpert MTB/RIF detection, such as sensitivity, specificity, positive predictive value, and negative predictive value, were retrospectively analyzed to evaluate its clinical value in the diagnosis of tuberculosis. Correlation analysis was further conducted to explore the correlation between positive levels of GeneXpert MTB/RIF in urine samples and laboratory test indicators. Results A total of 400 patients were included. Among them, 163 cases were in the clinical tuberculosis group and 237 cases were in the clinical non tuberculosis group. In the clinical tuberculosis group, 112 cases were urogenital tuberculosis patients and 51 cases were non-urogenital tuberculosis patients. The sensitivity, specificity, positive predictive value, and negative predictive value of urine GeneXpert MTB/RIF in the diagnosis of tuberculosis were 55.2%, 97.5%, 93.8% and 76.0%, respectively. The sensitivity, specificity, positive predictive value, and negative predictive value of urine GeneXpert MTB/RIF in the diagnosis of urogenital tuberculosis were 65.2%, 92.0%, 76.0% and 87.2%, respectively, and the diagnostic sensitivity was further improved. Correlation analysis showed that the positive degree of urine GeneXpert MTB/RIF was correlated with the levels of hemoglobin, serum total protein, blood serum albumin, and other indicators. Conclusions Urine GeneXpert MTB/RIF detection offers high sensitivity and specificity in the diagnosis of tuberculosis, especially in urogenital tuberculosis, which is helpful for the early and rapid diagnosis of tuberculosis patients. The positive degree reported by the GeneXpert MTB/RIF in urine may indicate disease severity.
ObjectiveTo investigate the associations of signal transducers and activators of transcription 6 (STAT6) gene polymorphisms with susceptibility to tuberculosis in western Chinese Han population.MethodsA total of 900 tuberculosis patients and 1 534 healthy controls of West China Hospital of Sichuan University were enrolled from January 2014 to February 2016. Improved multiplex ligation detection reaction method was used to detect four polymorphisms (rs1059513, rs73118432, rs841718, and rs10783813) of STAT6 gene. The allelic frequencies, genetic types, and different genetic models were analyzed using the chi-square test and unconditional logistic regression models to evaluate the associations of STAT6 gene with tuberculosis risk.ResultsEventually, a total of 856 cases and 1 511 health controls were recruited in our study. No significant differences were observed in allele frequencies, genotype distributions, or genetic models (additive model, dominant model and recessive model) at rs1059513, rs73118432, rs841718, and rs10783813 in STAT6 gene (P>0.05). We found a strong linkage disequilibrium among rs73118432, rs841718, and rs10783813, but there was no statistical difference in haplotype frequencies between the two groups (P>0.05).ConclusionsSTAT6 gene rs73118432, rs841718, rs10783813, and rs1059513 polymorphisms might have no associations with tuberculosis susceptibility in western Chinese Han population. Further studies with larger sample sizes are needed to comfirm these results.
ObjectiveTo explore the single locus mutation that related to hepatitis B virus (HBV) co-infection by means of genome-wide association study (GWAS) in Chinese Han patients with pulmonary tuberculosis (TB).MethodsA total of 946 patients with pulmonary TB enrolled between March 2013 and March 2018 were genotyped by Illumina Human Omni Express gene chip. After quality control, 389 972 single nucleotide polymorphisms (SNPs) of 703 patients with single TB infection and 53 patients with TB-HBV co-infection were included in the follow-up association analysis.ResultsThe SNP with the strongest statistical correlation signal was rs118122819 (P=2.923×10−12, odds ratio=7.933) located on chromosome 8p23.1. Other potential susceptibility genes included CDH4 (rs73309833), MARCH1 (rs3797020), and DNER (rs13393112), etc. In addition, a strong linkage imbalance between rs118122819 and rs4840365 (D’=0.88, r2=0.76) was found, while rs4840365 was located in the MFHAS1 gene region.ConclusionsThis study provides evidence for the presence of susceptibility gene locus for HBV co-infection in pulmonary TB patients, and provides important clues for the mechanism research, disease prevention, and treatment of co-infection. But these associations must be replicated and validated in larger studies.
ObjectiveTo analyze hepatitis B virus (HBV) genotype distribution and drug-resistant mutations in West China Hospital of Sichuan University, providing basis for hepatitis B individualized treatment.MethodsA total of 786 chronic hepatitis B patients admitted to West China Hospital of Sichuan University from January 2016 to December 2018 were enrolled in the study. Genotype and drug-resistant mutations were analyzed by Sanger sequencing, and statistical analysis was conducted by χ2 test.ResultsThree genotypes (B, C and D) were identified in 786 samples, 489 (62.2%) in genotype B, 291 (37.0%) in genotype C , and 6 (0.8%) in genotype D. The distribution differences of B and C genotypes in age and ethnic groups were statistically significant (P<0.05). Among them, 627 cases had drug-resistant mutations, with a drug-resistant mutation rate of 79.8%. A total of 262 cases (33.3%) were resistant to lamivudine and tibivudine, 102 cases (13.0%) were resistant to lamivudine, tibivudine and entecavir; 83 cases (10.6%) were resistant to adefovir dipivoxil. No tenofovir resistant strains were detected in 786 samples. There were statistically significant differences in drug resistance between B and C genotypes (χ2=14.356, P<0.01). The most common single mutation was M204I [179 cases (22.8%)], followed by 46 cases (5.9%) of A181V/T associated with adefovir dipivoxil resistance. The most common mixed mutation was L180M+M204V/I in 83 cases (10.6%), and another 102 cases (13.0%) showed M250V and/or V173L and/or T184A/G/S/I and/or S202G/I with L180M+M204V/I.ConclusionsHBV genotypes in West China Hospital of Sichuan University are mainly B and C, and the situation of drug resistance is severe and the mutation pattern is complex. Therefore, detecting HBV genotype and drug resistance mutation is necessary, which may develop better clinical treatments.
ObjectiveTo investigate the relationship between the gene polymorphism of autophagy-related gene 3 (ATG3) and the development and clinical symptoms of tuberculosis in tuberculosis patients in western China.MethodsAccording to the inclusion and exclusion criteria, 476 tuberculosis patients (tuberculosis group) who were admitted to West China Hospital of Sichuan University from December 2014 to November 2015 and 475 healthy controls (healthy control group) who underwent health examination during the same period were finally included. High-throughput genotyping technology was used to detect genotypes of three single nucleotide polymorphisms (SNPs) (rs2638029, rs2638037, rs3732817) of ATG3 gene, and relevant clinical data of subjects were collected. The relationship between gene polymorphism and susceptibility to tuberculosis and clinical symptoms was analyzed by statistical methods such as χ2 test and logistic regression model.ResultsExcept for GA genotype [odds ratio (OR) =1.375, 95% confidence interval (CI) (1.048, 1.805), P=0.022] and dominant genetic model GG+GA [OR=1.326, 95%CI (1.024, 1.717), P=0.032] in rs2638037, there was no statistically significant difference in the allele frequency, genotype and genetic patterns of rs2638029, rs3732817 and rs2638037 between the two groups (P>0.05), after the adjustment of the gender and age. But after correction by Bonferroni, GA genotype and dominant genetic patterns GG+GA showed no statistical significance between the two groups (P=0.132, 0.201). Haplotype CGA was associated with tuberculosis susceptibility [OR=1.262, 95%CI (1.001,1.593), P=0.048]. There was a statistically significant difference in weight loss symptoms among rs2638037 genotypes (χ2=8.131, P=0.017).ConclusionsThe haplotype CGA of three SNPs of ATG3 gene may be involved in the development of tuberculosis. The rs2638037 single nucleotide polymorphism may be related to weight loss, and more research is needed in the future.
Objective To explore the relationships between the polymorphisms of inhibitor genes WIF1 and DKK1 in WNT signaling pathway and susceptibility to tuberculosis, clinical characteristics and laboratory indexes. Methods From December 2014 to November 2016, 475 tuberculosis patients and 370 healthy controls of West China Hospital of Sichuan University were enrolled in the study, and the clinical data of the subjects were collected. High-throughput genotyping technique was used to detect the polymorphisms of WIF1 rs58635985 and DKK1 rs11001548 in WNT signaling pathway. The allele frequency distribution, genotype, genetic model, clinical features and laboratory indexes of two single nucleotide polymorphisms were analyzed by χ2 test and logistic regression analysis. Results There was no significant difference in the allele frequency distribution (P=0.275, 0.949), genotype (P=0.214, 0.659) or genetic models: additive model (P=0.214, 0.659), dominant model (P=0.414, 0.827), recessive model (P=0.227, 0.658) of rs58635985 and rs11001548 between the tuberculosis group and the healthy control group. Subgroup analysis showed no significant difference in allele and genotype distribution between rs58635985 and rs11001548 (pulmonary tuberculosis group vs. healthy control group: P>0.05; pulmonary tuberculosis groupvs. extra-pulmonary tuberculosis group: P>0.05). There was no significant difference in the clinical features (fever, night sweat, fatigue,etc.) or laboratory indexes (complete blood count, erythrocyte sedimentation rate, TB-DNA, etc.) (P>0.05). Conclusions There is no association between rs58635985 of WIF1 gene or rs11001548 of DKK1 gene and genetic susceptibility, clinical characteristics and laboratory indexes in Han population in Western China. To expand the sample size for verification and analysis in different populations is necessary.
ObjectiveTo evaluate the expression level and diagnostic value of lnc-PAPSS2-2 (lnc-PA) in peripheral blood of active pulmonary tuberculosis (PTB) patients.MethodsFrom January 2011 to January 2018, 798 patients with active PTB and 1 650 healthy people undergoing health examination in West China Hospital of Sichuan University and their electronic health records (EHR) were collected. Peripheral blood lnc-PA levels were quantified by quantitative real-time polymerase chain reaction method. The data of lnc-PA and EHR were modeled using nomogram, and the receiver operating characteristic (ROC) curves of lnc-PA, EHR and the combination of lnc-PA and EHR were compared to evaluate the diagnostic value of lnc-PA for active PTB.ResultsThe level of lnc-PA was lower in active PTB patients than that in healthy controls (P<0.001). The areas under ROC curve of lnc-PA, EHR and their combination were 0.619, 0.962, and 0.964 in the training set and 0.626, 0.950, and 0.950 in the validation set, respectively.ConclusionThe diagnostic ability of lnc-PA is poor and that of EHR is good, which indicates that the clinical value of lnc-PA as a biomarker of active PTB remains to be further explored.
ObjectiveTo explore the relationship between single nucleotide polymorphisms (SNPs) of the Toll-like receptor 4 (TLR4) gene and the risk of pulmonary tuberculosis (PTB) more comprehensively and objectively through meta-analysis.MethodsWe searched all available articles published before June 13th, 2019 in main Chinese and English databases systematically and comprehensively, including PubMed, Embase, China National Knowledge Infrastructure, Wanfang and CQVIP databases. The literature was screened according to the inclusion and exclusion criteria set in advance. In addition, the basic characteristics and data of the included literature were recorded according to a pre-made data collection form. Statistical analyses were performed using the Stata 15.0 software.ResultsA total of 17 eligible original articles were included in the study eventually. Furthermore, allele and genotype data of the 4 most widely studied SNPs (rs4986790, rs4986791, rs10759932, and rs11536889) in the TLR4 gene were extracted. And their allelic model, dominant model, recessive model, homozygous model, and heterozygous model were separately analyzed by meta-analysis. The results showed that the C allele of rs10759932 increased the risk of PTB [odd ratio (OR)=1.144, 95% confidence interval (CI) (1.043, 1.254), P=0.004]. Compared with the TT genotype, the CC+CT genotype and the CT genotype alone of rs10759932 also increased the risk of PTB [OR=1.218, 95%CI (1.084, 1.369), P=0.001; OR=1.227, 95%CI (1.085, 1.387), P=0.001]. Nevertheless, there was no statistical correlation between the other three SNPs (rs4986790, rs4986791 and rs11536889) and the susceptibility to PTB (P>0.05).ConclusionThe allele model, dominant model (CC+CT vs. TT), and heterozygous model (CT vs. TT) of rs10759932 located on the TLR4 gene are closely related to the risk of PTB.