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Dive into the research topics where Fake Li is active.

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Featured researches published by Fake Li.


Journal of Infection | 2012

Rapid and effective diagnosis of tuberculosis and rifampicin resistance with Xpert MTB/RIF assay: A meta-analysis

Kai Chang; Weiping Lu; Junji Wang; Kejun Zhang; Shuangrong Jia; Fake Li; Shaoli Deng; Ming Chen

OBJECTIVES Xpert MTB/RIF (Cepheid) assay has been introduced for the diagnosis of tuberculosis (TB) and RIF-resistance. The meta-analysis was used to establish the overall accuracy of Xpert MTB/RIF assay for diagnosing TB and RIF-resistance. METHODS Based on comprehensive searches of the Pubmed and Embase, we identified outcome data from all articles estimating diagnostic accuracy with Xpert MTB/RIF assay. A summary estimation for sensitivity, specificity, diagnostic odds ratios (DOR) and the area under the summary ROC curve (AUC) was calculated by using the bivariate random-effects approach. RESULTS The meta-analysis included 18 studies (10,224 suspected specimens). The summary estimate was 90.4% (95%CI 89.2%-91.4%) for sensitivity, 98.4% (95%CI 98.0%-98.7%) for specificity and 328.3/0.9822 for DOR/AUC in pulmonary tuberculosis (PTB). The sensitivity, specificity and DOR/AUC of detecting RIF-resistance were 94.1%, 97.0% and 177.8/0.9832, respectively. For extrapulmonary tuberculosis, the overall pooled sensitivity was 80.4% and specificity was 86.1%. The findings in subgroup analysis were as follows: the accuracy of Xpert MTB/RIF assay is higher in smear-positive specimens and the sensitivity of diagnosing PTB in adults was higher than that in children (90.8% versus 74.3%). CONCLUSIONS TB and RIF-resistance can be rapidly and effectively diagnosed with Xpert MTB/RIF assay.


BMC Cancer | 2012

Does risk for ovarian malignancy algorithm excel human epididymis protein 4 and CA125 in predicting epithelial ovarian cancer: a meta-analysis.

Fake Li; Ruxiu Tie; Kai Chang; Feng Wang; Shaoli Deng; Weiping Lu; Lili Yu; Ming Chen

BackgroundsRisk for Ovarian Malignancy Algorithm (ROMA) and Human epididymis protein 4 (HE4) appear to be promising predictors for epithelial ovarian cancer (EOC), however, conflicting results exist in the diagnostic performance comparison among ROMA, HE4 and CA125.MethodsRemote databases (MEDLINE/PUBMED, EMBASE, Web of Science, Google Scholar, the Cochrane Library and ClinicalTrials.gov) and full texts bibliography were searched for relevant abstracts. All studies included were closely assessed with the QUADAS-2 (Quality Assessment of Diagnostic Accuracy Studies-2). EOC predictive value of ROMA was systematically evaluated, and comparison among the predictive performances of ROMA, HE4 and CA125 were conducted within the same population. Sensitivity, specificity, DOR (diagnostic odds ratio), LR ± (positive and negative likelihood ratio) and AUC (area under receiver operating characteristic-curve) were summarized with a bivariate model. Subgroup analysis and sensitivity analysis were used to explore the heterogeneity.ResultsData of 7792 tests were retrieved from 11 studies. The overall estimates of ROMA for EOC predicting were: sensitivity (0.89, 95% CI 0.84-0.93), specificity (0.83, 95% CI 0.77-0.88), and AUC (0.93, 95% CI 0.90-0.95). Comparison of EOC predictive value between HE4 and CA125 found, specificity: HE4 (0.93, 95% CI 0.87-0.96) > CA125 (0.84, 95% CI 0.76-0.90); AUC: CA125 (0.88, 95% CI 0.85-0.91) > HE4 (0.82, 95% CI 0.78-0.85). Comparison of OC predictive value between HE4 and CA125 found, AUC: CA125 (0.89, 95% CI 0.85-0.91) > HE4 (0.79, 95% CI 0.76-0.83). Comparison among the three tests for EOC prediction found, sensitivity: ROMA (0.86, 95%CI 0.81-0.91) > HE4 (0.80, 95% CI 0.73-0.85); specificity: HE4 (0.94, 95% CI 0.90-0.96) > ROMA (0.84, 95% CI 0.79-0.88) > CA125 (0.78, 95%CI 0.73-0.83).ConclusionsROMA is helpful for distinguishing epithelial ovarian cancer from benign pelvic mass. HE4 is not better than CA125 either for EOC or OC prediction. ROMA is promising predictors of epithelial ovarian cancer to replace CA125, but its utilization requires further exploration.


Biosensors and Bioelectronics | 2014

Label-free and high-sensitive detection of human breast cancer cells by aptamer-based leaky surface acoustic wave biosensor array

Kai Chang; Yan Pi; Weiping Lu; Feng Wang; Feng Pan; Fake Li; Shuangrong Jia; Jianfeng Shi; Shaoli Deng; Ming Chen

A label-free and high-sensitive sensing technology for tumor cell recognition and detection was developed based on a novel 2 × 3 model of leaky surface acoustic wave (LSAW) aptasensor array. In this methodology, every resonator crystal unit of the LSAW aptasensor array had an individual oscillator circuit to work without mutual interference, and could oscillate independently with the phase shift stability of ± 0.15° in air phase and ± 0.3° in liquid phase. The aptamer was firstly assembled to the gold electrode surface of 100 MHz LiTaO3 piezoelectric crystal, which could effectively captured target cells (MCF-7 cells) based on the specific interaction between aptamer and the overexpression of MUC1 protein on tumor cell surface. The aptamer-cell complexes increased the mass loading of LSAW aptasensor and led to phase shifts of LSAW. The plot of phase shift against the logarithm of concentration of MCF-7 cells was linear over the range from 1 × 10(2) cells mL(-1) to 1 × 10(7) cells mL(-1) with a correlation coefficient of 0.994. The detection limit as low as 32 cells mL(-1) was achieved for MCF-7 cells. The LSAW aptasensor also exhibited excellent specificity and stability. In addition, this aptasensor could be regenerated for ten times without irreversible loss of activity. Therefore, the LSAW aptasensor may offer a promising approach for tumor cell detection and have great potential in clinical applications.


Cellular Physiology and Biochemistry | 2015

Early Secreted Antigen ESAT-6 of Mycobacterium Tuberculosis Promotes Apoptosis of Macrophages via Targeting the MicroRNA155-SOCS1 Interaction

Fake Li; Shuangrong Jia; Kejun Zhang; Wenbing Jiang; Ya Shang; Kai Chang; Shaoli Deng; Ming Chen

Background: The early secreted antigenic target 6-kDa protein (ESAT-6) of Mycobacterium tuberculosis (Mtb) not only acts as a key player for virulence but also exhibits a strong immunotherapeutic potential against Mtb. However, little is known about the molecular basis for its potential in immunotherapy. The present study was designed to unravel the role of miRNA-155 in ESAT-6-mediated enhancement of host immunity and apoptosis in macrophages. Methods: Lentivirus-mediated miR-155 sponge and miR-155 and SOCS1 overexpression vectors were developed in macrophages. TLR2- or p65-specific siRNA knockdown was employed to silence TLR2 or p65. Quantitative polymerase chain reaction and western blotting analyses were performed to determine mRNA and protein expression levels, respectively. Macrophage apoptosis was analyzed by flow cytometry. Results: ESAT-6 significantly increased miR-155 expression, which was dependent on TLR2/NF-κB activation in macrophages. Induced expression of miRNA-155 was required for the ESAT-6-mediated protective immune response and macrophage apoptosis. ESAT-6 promoted macrophage apoptosis by targeting the miR-155-SOCS1 pathway. The differential expression levels of TLR2, BIC, and SOCS1 were involved in regulating the immune response in human peripheral blood mononuclear cells of patients with active tuberculosis (TB) and latent TB (LTB). Conclusion: ESAT-6 promotes apoptosis of macrophages via targeting the miRNA155-SOCS1 interaction.


Biosensors and Bioelectronics | 2012

Detection of single-nucleotide polymorphisms with novel leaky surface acoustic wave biosensors, DNA ligation and enzymatic signal amplification.

Qinghua Xu; Kai Chang; Weiping Lu; Wei Chen; Yi Ding; Shuangrong Jia; Kejun Zhang; Fake Li; Jianfeng Shi; Liang Cao; Shaoli Deng; Ming Chen

This manuscript describes a new technique for detecting single-nucleotide polymorphisms (SNPs) by integrating a leaky surface acoustic wave (LSAW) biosensor, enzymatic DNA ligation and enzymatic signal amplification. In this technique, the DNA target is hybridized with a capture probe immobilized on the surface of a LSAW biosensor. Then, the hybridized sequence is ligated to biotinylated allele-specific detection probe using Taq DNA ligase. The ligation does not take place if there is a single-nucleotide mismatch between the target and the capture probe. The ligated detection probe is transformed into a streptavidin-horseradish peroxidase (SA-HRP) terminal group via a biotin-streptavidin complex. Then, the SA-HRP group catalyzes the polymerization of 3,3-diaminobenzidine (DAB) to form a surface precipitate, thus effectively increasing the sensitivity of detecting surface mass changes and allowing detection of SNPs. Optimal detection conditions were found to be: 0.3 mol/L sodium ion concentration in PBS, pH 7.6, capture probe concentration 0.5 μmol/L and target sequence concentration 1.0 μmol/L. The detection limit was found to be 1 × 10(-12)mol/L. Using this technique, we were able to detect a single-point mutation at nucleotide A2293G in Japanese encephalitis virus.


PLOS ONE | 2012

Association between CD209 -336A/G and -871A/G Polymorphisms and Susceptibility of Tuberculosis: A Meta-Analysis

Kai Chang; Shaoli Deng; Weiping Lu; Feng Wang; Shuangrong Jia; Fake Li; Lili Yu; Ming Chen

Background The association between CD209 promoter polymorphisms (-336A/G, -871A/G) and tuberculosis (TB) risk has been widely reported, but results of previous studies remain controversial and ambiguous. To assess the association between CD209 polymorphisms and TB risk, a meta-analysis was performed. Methods Based on comprehensive searches of the PubMed, Embase, Web of Science, Weipu, and CBM databases, we identified outcome data from all articles estimating the association between CD209 polymorphisms and TB risk. The pooled odds ratio (OR) with 95% confidence intervals (CIs) were calculated. Results A total of 14 studies with 3,610 cases and 3,539 controls were identified. There was no significant association between CD209 -336A/G polymorphism and TB risk (OR = 1.04, 95% CI = 0.91–1.19 for G vs. A; OR = 1.13, 95% CI = 0.84–1.53 for GG vs. AA; OR = 1.04, 95% CI = 0.87–1.24 for GG+AG vs. AA; OR = 1.11, 95% CI = 0.88–1.39 for GG vs. AG+AA). However, the significant association was revealed for Asians in GG vs. AA (OR = 2.48, 95% CI = 1.46–4.22, P = 0.0008) and GG vs. AG+AA (OR = 2.10, 95% CI = 1.33–3.32, P = 0.001). For the CD209 -871A/G polymorphism, lack of an association was also found (OR = 0.81, 95% CI = 0.70–0.95 for G vs. A; OR = 1.00, 95% CI = 0.52–1.93 for GG vs. AA; OR = 0.73, 95% CI = 0.60–0.89 for GG+AG vs. AA; OR = 1.09, 95% CI = 0.57–2.10 for GG vs. AG+AA). Conclusion The present meta-analysis suggested that CD209 promoter polymorphisms (-336A/G, -871A/G) were unlikely to substantially contribute to TB susceptibility. However, the GG genotype of CD209 -336A/G polymorphism might be a genetic risk factor that increases TB susceptibility for Asians in GG vs. AA and GG vs. AG+AA.


Biosensors and Bioelectronics | 2014

Development and validation of a novel leaky surface acoustic wave immunosensor array for label-free and high-sensitive detection of cyclosporin A in whole-blood samples

Kai Chang; Feng Wang; Yi Ding; Feng Pan; Fake Li; Shuangrong Jia; Weiping Lu; Shaoli Deng; Jianfeng Shi; Ming Chen

This manuscript described a novel 2×3 model of leaky surface acoustic wave (LSAW) immunosensor array for label-free and high-sensitive detection of Cyclosporin A (CsA) in whole-blood samples. In this technique, every resonator crystal unit of the LSAW immunosensor array had an individual oscillator circuit to work without mutual interference. The LSAW immunosensor was first immobilized with protein A from Staphylococcus aureus and monoclonal anti-CsA antibody on the gold electrode surface of 100 MHz LiTaO3 piezoelectric crystals, which then captured the CsA. The CsA increased the mass loading of LSAW immunosensor and leaded to phase shifts of LSAW. Consequently, under optimal conditions, the designed LSAW immunosensor exhibited a detection limit of 0.89 ng/mL, quantification limit of 2.96 ng/mL, and wide dynamic linear range from 1 ng/mL to 1000 ng/mL for CsA detection. Application of the LSAW immunosensor array to clinical sample revealed that consistency and comparability between LSAW immunosensor and the enzyme multiplied immunoassay method were good. Moreover, the immunosensor could be regenerated for ten times without appreciable loss of activity. Therefore, the self-designed LSAW immunosensor array provided a rapid, accurate, label-free, easy handling, and dynamic real-time method for the detection of immunosuppressive drugs in clinical laboratory.


Clinical Biochemistry | 2012

Rapid urinary trypsinogen-2 test in the early diagnosis of acute pancreatitis: A meta-analysis

Kai Chang; Weiping Lu; Kejun Zhang; Shuangrong Jia; Fake Li; Feng Wang; Shaoli Deng; Ming Chen

OBJECTIVES Urinary trypsinogen-2 has been implicated as a promising biomarker for the early diagnosis of acute pancreatitis (AP). The meta-analysis was used to establish the overall accuracy of urinary trypsinogen-2 test for diagnosing AP. METHODS Based on comprehensive searches of the PubMed and Embase databases, we identified and abstracted outcome data from all articles evaluating the diagnostic value of urinary trypsinogen-2. A summary estimate for sensitivity, specificity, 95% confidence region and 95% prediction region was calculated using the bivariate random-effects approach. RESULTS The meta-analysis included 13 studies (2342 patients, the proportion of severe AP from 13.21% to 30.00%). Overall, the pooled sensitivity was 82.3% (95%CI 79.3%-85.1%) and specificity was 93.5% (95%CI 92.2%-94.6%). The diagnostic odds ratios (DOR) was 85.23 (95%CI 40.14-180.99). The area under the summary ROC curve (AUC) was 0.9673. CONCLUSION The urinary trypsinogen-2 test is a reliable and rapid method for the early diagnosis of AP.


Journal of Clinical Microbiology | 2014

Rapid Detection of Hepatitis B Virus Variants Associated with Lamivudine and Adefovir Resistance by Multiplex Ligation-Dependent Probe Amplification Combined with Real-Time PCR

Shuangrong Jia; Feng Wang; Fake Li; Kai Chang; Kejun Zhang; Wenbin Jiang; Ya Shang; Shaoli Deng; Ming Chen

ABSTRACT Drug-resistant mutations of hepatitis B virus (HBV) are the major obstacles to successful therapy for chronic hepatitis B infection. Although there are many methods for detecting the antiviral drug-resistant mutations of HBV, their applications are restricted because of their shortcomings, such as low sensitivity, the time required, and the high cost. For this study, a multiplex ligation-dependent probe real-time PCR (MLP-RT-PCR) method was developed to simultaneously detect lamivudine (LAM)- and adefovir (ADV)-resistant HBV mutants (those with the mutations rtM204V/I, rtA181V/T, and rtN236T). The new method combined the high-throughput nature of multiplex ligation-dependent probe amplification (MLPA) with the rapid and sensitive detection of real-time PCR. In this report, MLP-RT-PCR was evaluated by detecting drug-resistant mutants in 116 patients with chronic hepatitis B infection. By MLP-RT-PCR analysis, LAM-resistant mutations were detected in 41 patients (35.3%), ADV-resistant mutations were detected in 17 patients (14.7%), and LAM- and-ADV-resistant mutations were detected in 5 patients (4.3%). Based on the results of MLP-RT-PCR, the mutations rtM204V, rtM204I, rtA181T, rtA181V, and rtN236T were 95.7% (111/116 patients), 98.3% (114/116 patients), 99.1% (115/116 patients), 98.3% (114/116 patients), and 99.1% (115/116 patients) concordant, respectively, with those of direct sequencing. The MLP-RT-PCR assay was more sensitive than direct sequencing for detecting mutations with low frequencies. Four samples containing the low-frequency (<10%) mutants were identified by MLP-RT-PCR and further confirmed by clonal sequencing. MLP-RT-PCR is a rapid and sensitive method that enables the detection of multidrug-resistant HBV mutations in clinical practice.


Applied Surface Science | 2013

Polypyrrole nanoparticles fabricated via Triton X-100 micelles template approach and their acetone gas sensing property

Fake Li; Hang Li; Hongmin Jiang; Kejun Zhang; Kai Chang; Shuangrong Jia; Wenbin Jiang; Ya Shang; Weiping Lu; Shaoli Deng; Ming Chen

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Shuangrong Jia

Third Military Medical University

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Kai Chang

Third Military Medical University

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Ming Chen

Third Military Medical University

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Kejun Zhang

Third Military Medical University

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Shaoli Deng

Third Military Medical University

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Weiping Lu

Third Military Medical University

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Feng Wang

Third Military Medical University

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Qinghua Xu

Third Military Medical University

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Ya Shang

Third Military Medical University

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Feng Pan

Third Military Medical University

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