Correction to: ThalPred: a web-based prediction tool for discriminating thalassemia trait and iron deficiency anemia.

Following publication of the original article [1], the authors reported an error in one of the authors' names. In this Correction the incorrect and correct author name are shown. The original publication of this article has been corrected.

ThalPred: a web-based prediction tool for discriminating thalassemia trait and iron deficiency anemia.

BACKGROUND: The hypochromic microcytic anemia (HMA) commonly found in Thailand are iron deficiency anemia (IDA) and thalassemia trait (TT). Accurate discrimination between IDA and TT is an important issue and better methods are urgently needed. Although considerable RBC formulas and indices with various optimal cut-off values have been developed, distinguishing between IDA and TT is still a challenging problem due to the diversity of various anemic populations. To address this problem, it is desirable to develop an improved and automated prediction model for discriminating IDA from TT. METHODS: We retrospectively collected laboratory data of HMA found in Thai adults. Five machine learnings, including k-nearest neighbor (k-NN), decision tree, random forest (RF), artificial neural network (ANN) and support vector machine (SVM), were applied to construct a discriminant model. Performance was assessed and compared with thirteen existing discriminant formulas and indices. RESULTS: The data of 186 patients (146 patients with TT and 40 with IDA) were enrolled. The interpretable rules derived from the RF model were proposed to demonstrate the combination of RBC indices for discriminating IDA from TT. A web-based tool 'ThalPred' was implemented using an SVM model based on seven RBC parameters. ThalPred achieved prediction results with an external accuracy, MCC and AUC of 95.59, 0.87 and 0.98, respectively. CONCLUSION: ThalPred and an interpretable rule were provided for distinguishing IDA from TT. For the convenience of health care team experimental scientists, a web-based tool has been established at http://codes.bio/thalpred/ by which users can easily get their desired screening test result without the need to go through the underlying mathematical and computational details.

RHD-specific microRNA for regulation of the DEL blood group: integration of computational and experimental approaches.

OBJECTIVE: The discovery of specific microRNAs (miRNA) mediates a better understanding of molecular mechanisms, diagnosis and prognosis of complex phenotypes. Synthesis of the RhD blood group involves multiple factors causing variation in the expression of RHD antigens. The mechanism underlying the extremely weak expression of RHD antigen associated with the RHD variant called DEL (D-elute) is incompletely understood. Down-regulation of gene expression through miRNA is a guide to the potential involvement of miRNAs in the DEL blood group. In order to determine the association of miRNAs and Rh-DEL blood donors with DEL variant, we investigated the expression level RHD-specific miRNA. METHODS: Blood samples were serologically tested for RhD blood group determination. DNA was analysed using SSP-PCR for the Asian-type DEL allele (RHD 1227 G>A). Bioinformatics analyses were applied for prediction of candidate RHD-specific miRNA. The RHD-specific miRNA expression level was quantitated using a real-time-qPCR approach. The miRNA expression levels of various RhD blood groups were compared and statistically analysed. RESULTS: The bioinformatics tools (n = 3) for prediction of miRNA targeting on RHD identified miR-98 as the miRNA potentially specific for the 3' UTR of RHD. The relative expression levels of miR-98 among D-positive (n = 50), D-negative (n = 49) and DEL (n = 63) subjects showed no statistically significant differences (P-values = 0.58). CONCLUSION: This is the first attempt to determine whether miR-98 is involved in RHD expression using computational and experimental approaches. Further investigations are necessary to fully characterize the miRNA genetics in DEL blood group regulation.

Significant association between TIM1 promoter polymorphisms and protection against cerebral malaria in Thailand.

Although cerebral malaria is a major life-threatening complication of Plasmodium falciparum infection, its pathophysiology is not well understood. Prolonged activation of the T helper type 1 (Th1) response characterized by the production of pro-inflammatory cytokines such as IFN-gamma and TNF-alpha has been suggested to be responsible for immunopathological process leading to cerebral malaria unless they are downregulated by the anti-inflamatory cytokines produced by the Th2 response. The T cell immunoglobulin and mucin domain (TIM) family of proteins are cell surface proteins involved in regulating Th1 and Th2 immune responses. In this study, the possible association between the polymorphisms of TIM1, TIM3, and TIMD4 genes and the severity of malaria was examined in 478 adult Thai patients infected with P. falciparum malaria. The TIM1 promoter haplotype comprising three derived alleles, -1637A (rs7702919), -1549C (rs41297577) and -1454A (rs41297579), which were in complete linkage disequilibrium, was significantly associated with protection against cerebral malaria (OR = 0.41; 95% CI = 0.24-0.71; P= 0.0009). Allele-specific transcription quantification analysis revealed that the level of mRNA transcribed from TIM1 was higher for the protective promoter haplotype than for the other promoter haplotype (P= 0.004). Engagement with TIM1 in combination with T cell receptor stimulation induces anti-inflammatory Th2 cytokine production, which can protect the development of cerebral malaria caused by overproduction of pro-inflammatory Th1 cytokines. The present results suggest that the higher TIM1 expression associated with the protective TIM1 promoter haplotype confers protection against cerebral malaria.