Genetic diversity of the msp-1, msp-2, and glurp genes of P lasmodium falciparum isolates along the Thai-Myanmar borders

Objective: To study the genetic diversity at the msp-1, msp-2, and glurp genes of Plasmodium falciparum (P. falciparum) isolates from 3 endemic areas in Thailand: Tak, Kanchanaburi and Ranong provinces. Methods: A total of 144 P. falciparum isolates collected prior to treatment during January, 2012 to June, 2013 were genotyped. DNA was extracted; allele frequency and diversity of msp-1, msp-2, and glurp genes were investigated by nested polymerase chain reaction. Results: P. falciparum isolates in this study had high rate of multiple genotypes infection (96.5%) with an overall mean multiplicity of infection of 3.21. The distribution of allelic families of msp-1 was significantly different among isolates from Tak, Kanchanaburi, and Ranong but not for the msp-2. K1 and MAD20 were the predominant allelic families at the msp-1 gene, whereas alleles belonging to 3D7 were more frequent at the msp-2 gene. The glurp gene had the least diverse alleles. Population structure of P. falciparum isolates from Tak and Ranong was quite similar as revealed by the presence of similar proportions of MAD20 and K1 alleles at msp-1 loci, 3D7 and FC27 alleles at msp-2 loci as well as comparable mean MOI. Isolates from Kanchanaburi had different structures; the most prevalent alleles were K1 and RO33. Conclusions: The present study shows that P. falciparum isolates from Tak and Ranong provinces had similar allelic pattern of msp-1 and msp-2 and diversity but different from Kanchanaburi isolates. These allelic variant profiles are valuable baseline data for future epidemiological study of malaria transmission and for continued monitoring of polymorphisms associated with antimalarial drug resistance in these areas

VOCs from Exhaled Breath for the Diagnosis of Hepatocellular Carcinoma

Background: Volatile organic compound (VOC) profiles as biomarkers for hepatocellular carcinoma (HCC) are understudied. We aimed to identify VOCs from the exhaled breath for HCC diagnosis and compare the performance of VOCs to alpha-fetoprotein (AFP). The performance of VOCs for predicting treatment response and the association between VOCs level and survival of HCC patients were also determined. Methods: VOCs from 124 HCC patients and 219 controls were identified using the XGBoost algorithm. ROC analysis was used to determine VOCs performance in differentiating HCC patients from controls and in discriminating treatment responders from non-responders. The association between VOCs and the survival of HCC patients was analyzed using Cox proportional hazard analysis. Results: The combination of 9 VOCs yielded 70.0% sensitivity, 88.6% specificity, and 75.0% accuracy for HCC diagnosis. When differentiating early HCC from cirrhotic patients, acetone dimer had a significantly higher AUC than AFP, i.e., 0.775 vs. 0.714, respectively, p = 0.001. Acetone dimer classified HCC patients into treatment responders and non-responders, with 95.7% sensitivity, 73.3% specificity, and 86.8% accuracy. Isopropyl alcohol was independently associated with the survival of HCC patients, with an adjusted hazard ratio of 7.23 (95%CI: 1.36–38.54), p = 0.020. Conclusions: Analysis of VOCs is a feasible noninvasive test for diagnosing and monitoring HCC treatment response