Elevated serum IL-6 levels predict treatment interruption in patients with moderate to severe psoriasis: a 6-year real-world cohort study

Abstract Background: Real-world, primary data on the treatment of psoriasis are scarce, especially concerning the role of soluble biomarkers as outcome predictors. Objective: The authors evaluated the utility of Th1/Th17 serum cytokines along with clinical characteristics as predictors of drug survival in the treatment of psoriasis. Methods: The authors consecutively included participants with moderate to severe psoriasis who were followed up for 6 years. Baseline interferon-α, tumor necrosis factor-α, and inter-leukin (IL)-2, IL-4, IL-6, IL-10, and IL-17A were measured using a cytometric bead array; clinical data were assessed. The authors calculated hazard ratios (HRs) for drug survival using a Cox proportional hazards model. Results: The authors included 262 patients, most of whom used systemic immunosuppressants or biologics. In the multivariate model, poor quality of life measured by the Dermatology Life Quality Index (HR = 1.04; 95% CI 1.01-1.07; p = 0.012) and elevated baseline IL-6 (HR = 1.99; 95% CI 1.29-3.08; p = 0.002) were associated with treatment interruption. Study limitations: The main limitation of any cohort study is the presence of confounders that could not be detected in clinical evaluation. Conclusions: Poor quality of life and elevated baseline serum IL-6 level predicted treatment interruption in patients with moderate to severe psoriasis. Although IL-6 is not the most important mediator of the inflammatory pathway in the skin environment, it is an interesting biomarker candidate for predicting psoriasis treatment response.

Elevated serum IL-6 levels predict treatment interruption in patients with moderate to severe psoriasis: a 6-year real-world cohort study.

BACKGROUND: Real-world, primary data on the treatment of psoriasis are scarce, especially concerning the role of soluble biomarkers as outcome predictors. OBJECTIVE: The authors evaluated the utility of Th1/Th17 serum cytokines along with clinical characteristics as predictors of drug survival in the treatment of psoriasis. METHODS: The authors consecutively included participants with moderate to severe psoriasis who were followed up for 6 years. Baseline interferon-α, tumor necrosis factor-α, and interleukin (IL)-2, IL-4, IL-6, IL-10, and IL-17A were measured using a cytometric bead array; clinical data were assessed. The authors calculated hazard ratios (HRs) for drug survival using a Cox proportional hazards model. RESULTS: The authors included 262 patients, most of whom used systemic immunosuppressants or biologics. In the multivariate model, poor quality of life measured by the Dermatology Life Quality Index (HR = 1.04; 95% CI 1.01‒1.07; p = 0.012) and elevated baseline IL-6 (HR = 1.99; 95% CI 1.29‒3.08; p = 0.002) were associated with treatment interruption. STUDY LIMITATIONS: The main limitation of any cohort study is the presence of confounders that could not be detected in clinical evaluation. CONCLUSIONS: Poor quality of life and elevated baseline serum IL-6 level predicted treatment interruption in patients with moderate to severe psoriasis. Although IL-6 is not the most important mediator of the inflammatory pathway in the skin environment, it is an interesting biomarker candidate for predicting psoriasis treatment response.

Sensitivity of different DNA extraction methods and PCR to detect resistance in patients with leprosy stratified by the bacilloscopic index.

INTRODUCTION: Antimicrobial resistance in leprosy is an emerging problem, and the quantitative impact of low bacilloscopic indexes (BIs) on the sensitivity of molecular tests is unknown. We aimed to evaluate the sensitivity of gene sequencing for the detection of mutations related to antimicrobial resistance in Mycobacterium leprae in patients with low BIs using an analytical model. METHODS: Patients with leprosy were included and divided into two groups depending on their BIs (≥ 2+ and < 2+). The sensitivities of the two DNA extraction methods were compared after amplifying and sequencing the repetitive element (RLEP), folP1, rpoB and gyrA in M. leprae. RESULTS: We included 56 patients with leprosy: 35 had BIs less than 2+ (22 had negative slit-skin smear [SSS] results) and 21 patients had BIs greater than or equal to 2+. The sensitivity of the amplification of the RLEP target and the gene sequencing of folP1, rpoB and gyrA was 50 to 70% lower in patients with a BI less than 2+ and was significantly reduced in patients with lower BIs for all targets (p < 0.001). One patient had a mutation in the folP1 gene, and 14 patients had mutations in the gyrA gene, but no mutations related to antimicrobial resistance were found. CONCLUSIONS: We can conclude that the sensitivity of molecular tests is directly related to the BI, but these tests can still detect up to 20% of the targets in patients with BIs < 2+. New strategies to improve the sensitivity for detecting antimicrobial resistance in leprosy patients and reasonable clinical criteria for follow-up and the introduction of alternative treatments must be developed.

Sensitivity of different DNA extraction methods and PCR to detect resistance in patients with leprosy stratified by the bacilloscopic index

ABSTRACT Introduction: Antimicrobial resistance in leprosy is an emerging problem, and the quantitative impact of low bacilloscopic indexes (BIs) on the sensitivity of molecular tests is unknown. We aimed to evaluate the sensitivity of gene sequencing for the detection of mutations related to antimicrobial resistance in Mycobacterium leprae in patients with low BIs using an analytical model. Methods: Patients with leprosy were included and divided into two groups depending on their BIs (≥ 2+ and < 2+). The sensitivities of the two DNA extraction methods were compared after amplifying and sequencing the repetitive element (RLEP), folP1, rpoB and gyrA in M. leprae. Results: We included 56 patients with leprosy: 35 had BIs less than 2+ (22 had negative slit-skin smear [SSS] results) and 21 patients had BIs greater than or equal to 2+. The sensitivity of the amplification of the RLEP target and the gene sequencing of folP1, rpoB and gyrA was 50 to 70% lower in patients with a BI less than 2+ and was significantly reduced in patients with lower BIs for all targets (p < 0.001). One patient had a mutation in the folP1 gene, and 14 patients had mutations in the gyrA gene, but no mutations related to antimicrobial resistance were found. Conclusions: We can conclude that the sensitivity of molecular tests is directly related to the BI, but these tests can still detect up to 20% of the targets in patients with BIs < 2+. New strategies to improve the sensitivity for detecting antimicrobial resistance in leprosy patients and reasonable clinical criteria for follow-up and the introduction of alternative treatments must be developed.

iTRAQ-based proteomic analysis of Paracoccidioides brasiliensis in response to hypoxia.

Aerobic organisms require oxygen for energy. In the course of the infection, adaptation to hypoxia is crucial for survival of human pathogenic fungi. Members of the Paracoccidioides complex face decreased oxygen tensions during the life cycle stages. In Paracoccidioides brasiliensis proteomic responses to hypoxia have not been investigated and the regulation of the adaptive process is still unknown, and this approach allowed the identification of 216 differentially expressed proteins in hypoxia using iTRAQ-labelling. Data suggest that P. brasiliensis reprograms its metabolism when submitted to hypoxia. The fungus reduces its basal metabolism and general transport proteins. Energy and general metabolism were more representative and up regulated. Glucose is apparently directed towards glycolysis or the production of cell wall polymers. Plasma membrane/cell wall are modulated by increasing ergosterol and glucan, respectively. In addition, molecules such as ethanol and acetate are produced by this fungus indicating that alternative carbon sources probably are activated to obtain energy. Also, detoxification mechanisms are activated. The results were compared with label free proteomics data from Paracoccidioides lutzii. Biochemical pathways involved with acetyl-CoA, pyruvate and ergosterol synthesis were up-regulated in both fungi. On the other hand, proteins from TCA, transcription, protein fate/degradation, cellular transport, signal transduction and cell defense/virulence processes presented different profiles between species. Particularly, proteins related to methylcitrate cycle and those involved with acetate and ethanol synthesis were increased in P. brasiliensis proteome, whereas GABA shunt were accumulated only in P. lutzii. The results emphasize metabolic adaptation processes for distinct Paracoccidioides species.

Quantitative proteomics and phosphoproteomics of Trypanosoma cruzi epimastigote cell cycle.

The protozoan Trypanosoma cruzi is the causative agent of the neglected infectious illness Chagas disease. During its life cycle it differentiates into replicative and non-replicative life stages. So far, T. cruzi cell division has been investigated by transcriptomics but not by proteomics approaches. Here we show the first quantitative proteome analysis of T. cruzi cell division. T. cruzi epimastigote cultures were subject to synchronization with hydroxyurea and harvested at different time points. Analysis by flow cytometry, bright field and fluorescence microscopy indicated that samples collected at 0 h, 2 h, 6 h and 14 h overrepresented G1, G1-S, S and M cell cycle phases, respectively. After trypsin digestion of these samples, the resulting peptides were labelled with iTRAQ and subjected to LC-MS/MS. Also, iTRAQ-labelled phosphopeptides were enriched with TiO2 to access the phosphoproteome. Overall, 597 protein groups and 94 phosphopeptides presented regulation with the most remarkable variation in abundance at 6 h (S-phase). Comparison of our proteomic data to previous transcriptome-wise analysis of epimastigote cell cycle showed 16 sequence entries in common, with the highest mRNA/protein correlation observed in transcripts with peak abundance in G1-phase. Our data revealed regulated proteins and phosphopeptides which play important roles in the control of cell division in other organisms and some of them were previously detected in the nucleus or associated with T. cruzi chromatin.

The interference of polypharmacy and the importance of clinical pharmacy advice in the treatment of leprosy: a case-control study.

INTRODUCTION: Although supervised doses are essential for reducing leprosy treatment failure, the impact of specific drug interactions has rarely been assessed. This study aimed to estimate the risk of leprosy treatment suspension in patients receiving polypharmacy. METHODS We performed this case-control study in which the primary outcome was defined as the need to discontinue multibacillary leprosy treatment for at least one supervised dose, and the main risk factor was the detection of polypharmacy. Multivariate analysis by logistic regression was used for calculating odds ratio (OR). RESULTS: This study included 103 patients, of whom 43 needed to discontinue leprosy treatment (hemolysis = 26, hepatitis = 2, hemolysis associated with hepatitis = 6, and suspected treatment resistance = 9) and the rest did not. The severity of drug interactions had no effect on treatment discontinuation. Patients who used five or more drugs in addition to leprosy treatment had almost a 4-fold greater risk of treatment suspension (OR, 3.88; 95% confidence interval: 1.79-9.12; p < 0.001). The number of drugs used also positively influenced the occurrence of hemolysis (p < 0.001). No patient presented evidence of molecular resistance to rifampicin, dapsone, or ofloxacin treatment, as evidenced by genetic sequencing detection of rpoB, folp1, and gyrA mutations. CONCLUSIONS: Polypharmacy has deleterious effects on the already difficult-to-adhere-to treatment of leprosy and polypharmacy induces hemolysis. Additional measures must be taken to avoid the undesirable effects of inadequate polypharmacy.

The interference of polypharmacy and the importance of clinical pharmacy advice in the treatment of leprosy: a case-control study

Abstract INTRODUCTION: Although supervised doses are essential for reducing leprosy treatment failure, the impact of specific drug interactions has rarely been assessed. This study aimed to estimate the risk of leprosy treatment suspension in patients receiving polypharmacy. METHODS We performed this case-control study in which the primary outcome was defined as the need to discontinue multibacillary leprosy treatment for at least one supervised dose, and the main risk factor was the detection of polypharmacy. Multivariate analysis by logistic regression was used for calculating odds ratio (OR). RESULTS: This study included 103 patients, of whom 43 needed to discontinue leprosy treatment (hemolysis = 26, hepatitis = 2, hemolysis associated with hepatitis = 6, and suspected treatment resistance = 9) and the rest did not. The severity of drug interactions had no effect on treatment discontinuation. Patients who used five or more drugs in addition to leprosy treatment had almost a 4-fold greater risk of treatment suspension (OR, 3.88; 95% confidence interval: 1.79-9.12; p < 0.001). The number of drugs used also positively influenced the occurrence of hemolysis (p < 0.001). No patient presented evidence of molecular resistance to rifampicin, dapsone, or ofloxacin treatment, as evidenced by genetic sequencing detection of rpoB, folp1, and gyrA mutations. CONCLUSIONS: Polypharmacy has deleterious effects on the already difficult-to-adhere-to treatment of leprosy and polypharmacy induces hemolysis. Additional measures must be taken to avoid the undesirable effects of inadequate polypharmacy.