This study was conducted to analyze alterations in the human serum proteome as a consequence of infection by malaria parasites Plasmodium falciparum and P. vivax to obtain mechanistic insights about disease pathogenesis, host immune response, and identification of potential protein markers. Serum samples from patients diagnosed with falciparum malaria (FM) (n = 20), vivax malaria (VM) (n = 17) and healthy controls (HC) (n = 20) were investigated using multiple proteomic techniques and results were validated by employing immunoassay-based approaches. Specificity of the identified malaria related serum markers was evaluated by means of analysis of leptospirosis as a febrile control (FC). Compared to HC, 30 and 31 differentially expressed and statistically significant (p<0.05) serum proteins were identified in FM and VM respectively, and almost half (46.2%) of these proteins were commonly modulated due to both of the plasmodial infections. 13 proteins were found to be differentially expressed in FM compared to VM. Functional pathway analysis involving the identified proteins revealed the modulation of different vital physiological pathways, including acute phase response signaling, chemokine and cytokine signaling, complement cascades and blood coagulation in malaria. A panel of identified proteins consists of six candidates; serum amyloid A, hemopexin, apolipoprotein E, haptoglobin, retinol-binding protein and apolipoprotein A-I was used to build statistical sample class prediction models. By employing PLS-DA and other classification methods the clinical phenotypic classes (FM, VM, FC and HC) were predicted with over 95% prediction accuracy. Individual performance of three classifier proteins; haptoglobin, apolipoprotein A-I and retinol-binding protein in diagnosis of malaria was analyzed using receiver operating characteristic (ROC) curves. The discrimination of FM, VM, FC and HC groups on the basis of differentially expressed serum proteins demonstrates the potential of this analytical approach for the detection of malaria as well as other human diseases.

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Objectives:Reliability and usefulness of various adverse drug reaction (ADR) causality assessment scales have not been fully explored. There is no universally accepted method for causality grading of ADRs. In the present study we assessed agreement between the two widely used causality assessment scales, that is, the World Health Organization-Uppsala Monitoring Center (WHO-UMC) criteria and the Naranjo algorithm.Materials and Methods:The same observer assessed all ADRs (n = 913) collected between January 2010 and December 2012 using the WHO-UMC criteria and Naranjo algorithm at a tertiary care hospital in India. We found that the most frequently assigned causality category was “possible” with both the scales.Results:A disagreement in the causality assessment was found in 45 (4.9%) cases reflecting “poor” agreement between the two scales (Kappa statistic with 95% confidence interval = 0.143 [0.018, 0.268]). The mean time taken to assess causality of the ADR using the WHO-UMC criteria was shorter than that by the Naranjo algorithm.Conclusion:This study showed that there is a poor agreement between the WHO-UMC criteria and Naranjo algorithm with the former being less time-consuming.

Leptospirosis is a zoonotic infectious disease of tropical, subtropical and temperate zones, which is caused by the pathogenic spirochetes of genus Leptospira. Although this zoonosis is generally not considered as fatal, the pathogen can eventually cause severe infection with septic shock, multi-organ failure and lethal pulmonary hemorrhages leading to mortality. In this study, we have performed a proteomic analysis of serum samples from leptospirosis patients (n=6), febrile controls (falciparum malaria) (n=8) and healthy subjects (n=18) to obtain an insight about disease pathogenesis and host immune responses in leptospiral infections. 2DE and 2D-DIGE analysis in combination with MALDI-TOF/TOF MS revealed differential expression of 22 serum proteins in leptospirosis patients compared to the healthy controls. Among the identified differentially expressed proteins, 8 candidates exhibited different trends compared to the febrile controls. Functional analysis suggested the involvement of differentially expressed proteins in vital physiological pathways, including acute phase response, complement and coagulation cascades and hemostasis. This is the first report of analysis of human serum proteome alterations in leptospirosis patients, which revealed several differentially expressed proteins, including α-1-antitrypsin, vitronectin, ceruloplasmin, G-protein signaling regulator, apolipoprotein A-IV, which have not been reported in context of leptospirosis previously. This study will enhance our understanding about leptospirosis pathogenesis and provide a glimpse of host immunological responses. Additionally, a few differentially expressed proteins identified in this study may further be investigated as diagnostic or prognostic serum biomarkers for leptospirosis. This article is part of a Special Issue entitled: Integrated omics.

A study was carried out to determine the extent to which ECs comply with format requirements given in guidelines and regulations. ECs were sent a written communication requesting them to permit investigators to study their approval letter for compliance with the ICMR Guidelines and Schedule Y using a pre-designed proforma. Of the 60 ECs approached, only 20 agreed to participate. Legal experts and social scientists were not present at the approval meetings of most of the ECs. Only 7 ECs had a quorum according to Schedule Y Several ECs did not state whether documents such as the clinical trial agreement and insurance policy were reviewed. Delays in sending approval letters could be shortened with efficacious operating of ECs. There is a need to train EC members and create a better awareness of regulatory requirements. There is also a need to evolve a mechanism to monitor EC functioning.