Elucidating miR-146a-3p as a key player in autophagy and lipid metabolism in Leishmania major infection.

Autophagy is a key step involved in many unicellular eukaryotic diseases, including leishmaniasis, for cellular remodelling and differentiation during parasite's lifecycle. Lipids play a significant role in the infection process that begins with Leishmania major invading host cells. MicroRNAs (miRNAs), a family of small, 22-24 nucleotide noncoding regulatory RNAs, target mRNAs to modify gene expression and, subsequently, proteome output may have a regulatory role in altering the host cell processes. We observed miR-146a-3p expression increases in a time-dependent manner post Leishmania major infection. Transfecting miR-146a-3p mimic increases the expression of ATG7, an autophagy gene that encodes an E1-like enzyme in two ubiquitin-like conjugation systems required for autophagosome progression. HPGD (15-hydroxyprostaglandin dehydrogenase) operates as an enzyme, converting prostaglandin to its non-active form. Microarray data and western studies reveal that miR-146a-3p targets and inhibits HPGD, thereby increasing prostaglandin activity in lipid droplets. Herein, our research focuses on miR-146a-3p, which boosts ATG7 expression while reducing HPGD post Leishmania major infections helping us comprehend the intricate network of microRNA, autophagy, and lipid metabolism in leishmaniasis.

Computationally designed synthetic peptides for transporter proteins imparts allostericity in Miltefosine resistant L. major.

The emergence of drug resistance is a major concern for combating against Cutaneous Leishmaniasis, a neglected tropical disease affecting 98 countries including India. Miltefosine is the only oral drug available for the disease and Miltefosine transporter proteins play a pivotal role in the emergence of drug-resistant Leishmania major. The cause of resistance is less accumulation of drug inside the parasite either by less uptake of the drug due to a decrease in the activity of P4ATPase-CDC50 complex or by increased efflux of the drug by P-glycoprotein (P-gp, an ABC transporter). In this paper, we are trying to allosterically modulate the behavior of resistant parasite (L. major) towards its sensitivity for the existing drug (Miltefosine, a phosphatidylcholine analog). We have used computational approaches to deal with the conservedness of the proteins and apparently its three-dimensional structure prediction through ab initio modeling. Long scale membrane-embedded molecular dynamics simulations were carried out to study the structural interaction and stability. Parasite-specific motifs of these proteins were identified based on the machine learning technique, against which a peptide library was designed. The protein-peptide docking shows good binding energy of peptides Pg5F, Pg8F and PC2 with specific binding to the motifs. These peptides were tested both in vitro and in vivo, where Pg5F in combination with PC2 showed 50-60% inhibition in resistant L. major's promastigote and amastigote forms and 80-90% decrease in parasite load in mice. We posit a model system wherein the data provide sufficient impetus for being novel therapeutics in order to counteract the drug resistance phenotype in Leishmania parasites.

Systems biology of autophagy in leishmanial infection and its diverse role in precision medicine.

Autophagy is a contentious issue in leishmaniasis and is emerging as a promising therapeutic regimen. Published research on the impact of autophagic regulation on Leishmania survival is inconclusive, despite numerous pieces of evidence that Leishmania spp. triggers autophagy in a variety of cell types. The mechanistic approach is poorly understood in the Leishmania parasite as autophagy is significant in both Leishmania and the host. Herein, this review discusses the autophagy proteins that are being investigated as potential therapeutic targets, the connection between autophagy and lipid metabolism, and microRNAs that regulate autophagy and lipid metabolism. It also highlights the use of systems biology to develop novel autophagy-dependent therapeutics for leishmaniasis by utilizing artificial intelligence (AI), machine learning (ML), mathematical modeling, network analysis, and other computational methods. Additionally, we have shown many databases for autophagy and metabolism in Leishmania parasites that suggest potential therapeutic targets for intricate signaling in the autophagy system. In a nutshell, the detailed understanding of the dynamics of autophagy in conjunction with lipids and miRNAs unfolds larger dimensions for future research.

Dissecting druggability of ABC transporter proteins in Mycobacterium species through network modeling.

Mycobacterium tuberculosis (Mtb) is an infectious disease that affects nearly 9.6 million people every year. Metals are important determinants of growth and pathogenicity of mycobacterium. In the present study, we have analyzed protein-protein interaction networks belonging to the iron, sulfur and molybdenum metabolism of Mycobacterium. Our analysis has identified some of the important target proteins one among them being irtA. Iron taken up by siderophores from the host is transported to irtA through which iron enters Mycobacterium. Thus, irtA plays a major role as an iron transporter in Mycobacterium. As irtA protein structure was not solved experimentally, we have predicted 3D structure of irtA. After successful model evaluation, we have identified thiosemicarbazones as possible drug candidates for irtA. Henceforth, we have designed five analogues of thiosemicarbazones and tested in silico for their efficacy against irtA using molecular docking, among them analogue 1 showed a very good efficacy.Communicated by Ramaswamy H. Sarma.

Autophagy proteins and its homeostasis in cellular environment.

Autophagy is a self-destructing mechanism of cell via lysosomal degradation, which helps to degrade/destroy hazardous substances, proteins, degenerating organelles and recycling nutrients. It plays an important role is cellular homeostasis and regulates internal environment of cell, moreover, when needed causes non-apoptotic programmed death of cell. Autophagy has been observed as one of the major factors in parasite clearance in leishmaniasis. Being an intra-cellular pathogen, the cell mediated response is the only alternative for adaptive immunity against Leishmania in host. Pro-inflammatory cytokines IL12 and TNFα generate Th2 response which helps in active phagocytosis of parasite whereas an anti-inflammatory cytokine like IL10 mediate parasite promotion by blocking autophagic pathways and inhibiting phagocytic actions. In the present chapter, through systems biology approach, we are trying to decipher the role of pro-inflammatory and anti-inflammatory cytokine in autophagy during leishmanial infection. TLR2/6 mediated signaling stimulated by LPG produces many pro-inflammatory cytokines like IL12, TNFα and IL6 etc. Among them TNFα, causes the activation of PI3P through a series of events, which results in activation of autophagic machinery, whereas, IL10 through ATG9 and mTOR activation, inhibits autophagy. The mathematical modeling of these pathways shows that, ATG9-PI3P act as a negative feedback loop in autophagic machinery of leishmaniasis.

Systems Studies Uncover miR-146a as a Target in Leishmania major Infection Model.

Leishmaniasis, the second most neglected tropical disease, has been reported to affect approximately 12 million people worldwide. The causative protozoan parasite Leishmania has shown drug resistance to available chemotherapies, owing to which we need to look for better approaches to deal with the clinical situations. As per recent reports, several miRNAs have been found to be differentially expressed during Leishmania major infection in host macrophages. We aim to evaluate the impact of miRNA-mediated gene regulation on the key players of inflammation and macrophage dysfunction. The origin of Leishmania miRNAs and their processing is a questionable phenomenon as of yet. Through our study, we aim to provide a framework of their characterization. We amalgamate chemical systems biology and synthetic biology approaches to identify putative miRNA targets and unravel the complexity of host-pathogen gene regulatory networks.

Structural sequence evolution and computational modeling approaches of the complement system in leishmaniasis.

The complement system is one of the first barriers and consists of well-balanced cascades of reactions which generates anaphylatoxins such as C5a and C3a. A G-protein coupled receptor C5a anaphylatoxin chemotactic receptor 1 (C5AR1, also known as CD88) is the receptor for C5a which is present on cells of myeloid origin. Owing to difficulty in obtaining crystal structures of GPCRs in either inactive or active state, accurate structural modeling is still highly desirable for the majority of GPCRs. In an attempt to dissect the conformational changes associated with GPCR activation, computational modeling approaches is being pursued in this paper along with the evolutionary divergence to deal with the structural variability.

Efflux pumps and antimicrobial resistance: Paradoxical components in systems genomics.

Efflux pumps play a major role in the increasing antimicrobial resistance rendering a large number of drugs of no use. Large numbers of pathogens are becoming multidrug resistant due to inadequate dosage and use of the existing antimicrobials. This leads to the need for identifying new efflux pump inhibitors. Design of novel targeted therapies using inherent complexity involved in the biological network modeling has gained increasing importance in recent times. The predictive approaches should be used to determine antimicrobial activities with high pathogen specificity and microbicidal potency. Antimicrobial peptides, which are part of our innate immune system, have the ability to respond to infections and have gained much attention in making resistant strain sensitive to existing drugs. In this review paper, we outline evidences linking host-directed therapy with the efflux pump activity to infectious disease.