The High Sensitivity of the Multi-Cancer Detection Test ONCOVERYX-F Offers a Promising Platform for Ovarian Cancer Screening.

We evaluated the potential relevance of our multi-cancer detection test, OncoVeryx-F, for ovarian cancer screening. For this, we compared its accuracy with that of CA125-based screening. We demonstrate here that, in contrast to CA125-based detection, OncoVeryx-F detected ovarian cancer with very high sensitivity and specificity. Importantly here, Stage I cancers too could be detected with an accuracy of >98%. Furthermore, again unlike CA 125, the detection accuracy of OncoVeryx-F remained comparable in both Caucasian and South Asian/Indian women. Thus, the robustness and accuracy of OncoVeryx-F, particularly for early-stage detection, underscores its potential utility for ovarian cancer screening.

A non-invasive method for concurrent detection of multiple early-stage cancers in women.

Untargeted serum metabolomics was combined with machine learning-powered data analytics to develop a test for the concurrent detection of multiple cancers in women. A total of fifteen cancers were tested where the resulting metabolome data was sequentially analysed using two separate algorithms. The first algorithm successfully identified all the cancer-positive samples with an overall accuracy of > 99%. This result was particularly significant given that the samples tested were predominantly from early-stage cancers. Samples identified as cancer-positive were next analysed using a multi-class algorithm, which then enabled accurate discernment of the tissue of origin for the individual samples. Integration of serum metabolomics with appropriate data analytical tools, therefore, provides a powerful screening platform for early-stage cancers.

A non-invasive method for concurrent detection of early-stage women-specific cancers.

We integrated untargeted serum metabolomics using high-resolution mass spectrometry with data analysis using machine learning algorithms to accurately detect early stages of the women specific cancers of breast, endometrium, cervix, and ovary across diverse age-groups and ethnicities. A two-step approach was employed wherein cancer-positive samples were first identified as a group. A second multi-class algorithm then helped to distinguish between the individual cancers of the group. The approach yielded high detection sensitivity and specificity, highlighting its utility for the development of multi-cancer detection tests especially for early-stage cancers.

Co-Administration of Anticancer Candidate MK-2206 Enhances the Efficacy of BCG Vaccine Against Mycobacterium tuberculosis in Mice and Guinea Pigs.

The failure of M. bovis BCG to induce long-term protection has been endowed to its inability to escape the phagolysosome, leading to mild activation of CD8+ mediated T cell response. Induction of apoptosis in host cells plays an important role in potentiating dendritic cells-mediated priming of CD8+ T cells, a process defined as "cross-priming." Moreover, IL-10 secretion by infected cells has been reported to hamper BCG-induced immunity against Tuberculosis (TB). Previously, we have reported that apoptosis of BCG-infected macrophages and inhibition of IL-10 secretion is FOXO3 dependent, a transcription factor negatively regulated by the pro-survival activated threonine kinase, Akt. We speculate that FOXO3-mediated induction of apoptosis and abrogation of IL-10 secretion along with M. bovis BCG immunization might enhance the protection imparted by BCG. Here, we have assessed whether co-administration of a known anti-cancer Akt inhibitor, MK-2206, enhances the protective efficacy of M. bovis BCG in mice model of infection. We observed that in vitro MK-2206 treatment resulted in FOXO3 activation, enhanced BCG-induced apoptosis of macrophages and inhibition of IL-10 secretion. Co-administration of M. bovis BCG along with MK-2206 also increased apoptosis of antigen-presenting cells in draining lymph nodes of immunized mice. Further, MK-2206 administration improved BCG-induced CD4+ and CD8+ effector T cells responses and its ability to induce both effector and central memory T cells. Finally, we show that co-administration of MK-2206 enhanced the protection imparted by M. bovis BCG against Mtb in aerosol infected mice and guinea pigs. Taken together, we provide evidence that MK-2206-mediated activation of FOXO3 potentiates BCG-induced immunity and imparts protection against Mtb through enhanced innate immune response.

Concurrent interactome and metabolome analysis reveals role of AKT1 in central carbon metabolism.

OBJECTIVE: Signal transduction not only initiates entry into the cell cycle, but also reprograms the cell's metabolism. To control abnormalities in cell proliferation, both the aspects should be taken care of, thus pleiotropic signaling molecules are considered as crucial modulators. Considering this, we investigated the role of AKT1 in central carbon metabolism. The role of AKT1 has already been established in the process of cell cycle, but its contribution to the central carbon metabolism is sparsely studied. RESULTS: To address this, we combined the metabolomics and proteomics approaches. In accordance to our hypothesis, we found that the AKT1 kinase activity is regulating the levels of acetyl CoA through pyruvate dehydrogenase complex. Further, the decreased levels of acetyl CoA and dependency of acetyl CoA acetyl transferase protein on AKT1 kinase activity was also found to perturb the synthesis rate of palmitic acid which is a representative of fatty acid. This was analyzed in the present study using lipid labeling method through mass spectrometry.

Rb interactome data and its modulations during cell cycle progression in HEK 293 cells.

The Rb protein is a tumor suppressor protein that regulates the key G1S checkpoint consequently blocking the progression of cell cycle into S-phase. Despite its pertinent role in cell cycle regulation, comprehensive information on its interacting partners across cell cycle progression is lacking. Here, we aim to submit a comprehensive set of Rb interactors as the cell progresses from G0 through G1 and S into G2 phase in HEK 293 cell line. Affinity purification of HA-tagged Rb protein along with its interactors was analyzed by mass spectrometry (AP-MS). SILAC labeling enabled differentiation of Rb interactors in different cell cycle stages as well as their quantification - G0 cells were labeled with light labels of lysine and arginine (K0R0), cells in G1S transition were labeled with heavy labels (K8R10) while the G2 cells were labeled with medium labels (K6R6). LC-MS/MS analysis resulted in 6 wiff files which were submitted to protein pilot software for peptide identification and quantification. Here we submit the dataset which clearly captures the changing interacting partners of the Rb protein as the cell cycle progressed from G0 through G1S checkpoint into G2 phase. Data is publicly available via ProteomeXchange with identifier PXD007708.

Defining the Akt1 interactome and its role in regulating the cell cycle.

Cell growth and proliferation are two diverse processes yet always linked. Akt1, a serine/threonine kinase, is a multi-functional protein implicated in regulation of cell growth, survival and proliferation. Though it has a role in G1/S progression, the manner by which Akt1 controls cell cycle and blends cell growth with proliferation is not well explored. In this study, we characterize the Akt1 interactome as the cell cycle progresses from G0 to G1/S and G2 phase. For this, Akt1-overexpressing HEK293 cells were subjected to AP-MS. To distinguish between individual cell cycle stages, cells were cultured in the light, medium and heavy labelled SILAC media. We obtained 213 interacting partners of Akt1 from these studies. GO classification revealed that a significant number of proteins fall into functional classes related to cell growth or cell cycle processes. Of these, 32 proteins showed varying association with Akt1 in different cell cycle stages. Further analyses uncovered a subset of proteins showing counteracting effects so as to tune stage-specific progression through the cycle. Thus, our study provides some novel perspectives on Akt1-mediated regulation of the cell cycle and offers the framework for a detailed resolution of the downstream cellular mechanisms that are mediated by this kinase.

Dataset to delineate changes in association between Akt1 and its interacting partners as a function of active state of Akt1 protein.

Akt1 is a multi-functional protein, implicated in multiple human solid tumors. Pertaining to its key role in cell survival, Akt1 is under focus for development of targeted therapies. Functional diversity of Akt1 is a result of its interactions with other proteins; which changes with changing context. This investigation was designed to capture the dynamics of Akt1 Interactome as a function of its active state. Delineating dynamic changes in association of Akt1 with its interactors could help us comprehend how it changes as a function of inhibition of its active form. Similar information on changes in Akt1 interactome as of now is not well explored. Akt1 expressing HEK293 cells were cultured in light and heavy labeled SILAC media. Normal lysine and arginine were incorporated as light labels while for heavy labeling the isotopes were 8 and 10 Da heavier. Light labeled cells represented the indigenous state of Akt1 interactome while heavy labeled cells represented Akt1 interactome in presence of its allosteric inhibitor, MK-2206. Equal number of cells from both conditions were pooled, lysed and subjected to Affinity Purification coupled to Mass Spectroscopy (AP-MS). Additionally, SILAC labeling aided in quantitative estimation of changing association of a number of proteins which were common to the two experimental conditions, with Akt1. Data are available via ProteomeXchange with identifier PXD005976.

A mathematical model predicting host mitochondrial pyruvate transporter activity to be a critical regulator of Mycobacterium tuberculosis pathogenicity.

Modulation of host metabolic machinery by Mycobacterium tuberculosis is a well established phenomenon. In our earlier study (Mehrotra et al., 2014), we observed a marked increase in acetyl-CoA levels in cells bearing virulent M. tuberculosis infections compared to host cells harbouring avirulent infections. The difference was observed inspite of similar levels of total host cellular pyruvate in both infection types. The present study aimed in capturing the cause for such a phenomenon that defines the pathogenicity of M. tuberculosis. Through mathematical model, we dissected the relative importance of virulence mediated effect on Pyruvate dehydrogenase (PDH) activity, rate of acetyl-CoA consumption and mitochondrial pyruvate transporter (MPC) activity in causing the observed outcomes. Simulation results exhibit MPC to be the key regulatory junction perturbed by virulent strains of M. tuberculosis leading to alteration of mitochondrial metabolic flux and regulation of acetyl-CoA formation. As an experimental validation, drug mediated inhibition of MPC activity was sufficient to reduce virulent bacillary loads, pointing towards a possible mechanistic target for drug discovery.

Dissecting host factors that regulate the early stages of tuberculosis infection.

Incomplete understanding of mechanisms involved in the host-pathogen interactions constrains our efforts to eliminate tuberculosis. In many individuals, resulting from immune response to mycobacterial infection organised structures called granulomas are formed. To identify host responses that may control at least the early stages of infection, we employed an in vitro granuloma model. Here, human PBMCs were infected with live Mycobacterium tuberculosis in culture, and the appearance of granuloma-like structures was monitored over the next several days. Production of cytokines and chemokines in culture supernatants was monitored at various times, and the resulting temporal profiles were examined for possible correlations with either granuloma formation, or bacterial growth. While a positive association of TNF-α and IFN-γ secretion levels with extent of granuloma formation could clearly be identified, we were, however, unable to detect any statistically significant relationship between any cytokine/chemokine and bacterial growth. Examination of specific host cellular biochemical pathways revealed that either modulation of neutral lipid homeostasis through inhibition of the Gi-protein coupled receptor GPR109A, or regulation of host metabolic pathways through addition of vitamin D, provided a more effective means of controlling infection. A subsequent genotypic analysis for a select subset of genes belonging to pathways known to be significant for TB pathology revealed associations of polymorphisms with cytokine secretions and bacterial growth independently. Collectively therefore, the present study supports that key metabolic pathways of the host cell, rather than levels of relevant cytokines/chemokines might be more critical for regulating the intracellular mycobacterial load, in the context of granuloma formation.

Mycobacterial escape from macrophage phagosomes to the cytoplasm represents an alternate adaptation mechanism.

Survival of Mycobacterium tuberculosis (Mtb) within the host macrophage is mediated through pathogen-dependent inhibition of phagosome-lysosome fusion, which enables bacteria to persist within the immature phagosomal compartment. By employing ultrastructural examination of different field isolates supported by biochemical analysis, we found that some of the Mtb strains were in fact poorly adapted for subsistence within endocytic vesicles of infected macrophages. Instead, through a mechanism involving activation of host cytosolic phospholipase A2, these bacteria rapidly escaped from phagosomes, and established residence in the cytoplasm of the host cell. Interestingly, by facilitating an enhanced suppression of host cellular autophagy, this translocation served as an alternate virulence acquisition mechanism. Thus, our studies reveal plasticity in the adaptation strategies employed by Mtb, for survival in the host macrophage.

M. tuberculosis Secretory Protein ESAT-6 Induces Metabolic Flux Perturbations to Drive Foamy Macrophage Differentiation.

The Foamy Macrophage (FM) differentiation forms a major component of the host dependent survival axis of M. tuberculosis. The FM which are characterized by the intracellular accumulation of lipid bodies (LBs), ensure a privileged existence for the bacilli through ready provision of nutrients and by conferring protection against bactericidal pathways. The mycobacterial secretory protein ESAT-6 has been identified as the molecular mediator of the FM differentiation process although little is known about the mechanism through which it induces this process. In the present study, we show that ESAT-6 induces GLUT-1 mediated enhanced glucose uptake by macrophages which is coupled to metabolic flux perturbations in the glycolytic pathway caused by differential rates of reaction at several steps in the pathway. Two major changes identified were the simultaneous buildup of DHAP (for Triglyceride synthesis) and AcCoA (for synthesis of 3-HB, ligand for the anti-lipolytic GPR109A). We also show that part of the observed effects involve protein- protein interactions between ESAT-6 and the macrophage glycolytic enzymes, Enolase1 and Phosphoglycerate kinase1.

Selective enrichment of mycobacterial proteins from infected host macrophages.

Upon infection, Mycobacterium tuberculosis (Mtb) deploys specialized secretion machinery to deliver virulent proteins with the capacity to modulate a variety of host-cellular pathways. Studies on the identification of intra-macrophage Mtb proteins, however, are constricted by an inability to selectively enrich these virulent effectors against overwhelming protein content of the host. Here, we introduce an Mtb-selective protein labeling method based on genetic incorporation of azidonorleucine (Anl) through the expression of a mutant methionyl-tRNA synthetase. Exclusive incorporation of Anl, into native Mtb proteins, provided a click handle to pull out low abundant secretory proteins from the lysates of infected cells. Further, temporal secretome profiling, upon infection with strains of varying degree of virulence, revealed the proficiency of virulent Mtb to secrete chaperones. This ability contributed at least partially to the mycobacterial virulence-specific suppression of ER stress in the host macrophage, representing an important facet of mycobacterial virulence. The Anl labeling approach should facilitate new exciting opportunities for imaging and proteomic investigations of differently virulent Mtb isolates to understand determinants of pathogenicity.

Differential proteomics approach to identify putative protective antigens of Mycobacterium tuberculosis presented during early stages of macrophage infection and their evaluation as DNA vaccines.

Unsatisfactory performance of the existing BCG vaccines, especially against the adult pulmonary disease, has urged the need for an effective vaccine against tuberculosis (TB). In this study, we employed differential proteomics to obtain a list of antigens as potential vaccine candidates. Bacterial epitopes being presented at early stages on MHC class I and class II molecules of macrophages infected with Mycobacterium tuberculosis (M. tb) were identified using iTRAQ labelling and reverse phase LC-MS/MS. The putative vaccine candidates, thus identified, were tested as plasmid DNA vaccines in mice to ascertain their protective efficacy against the aerosolized M. tb challenge, based on their ability to reduce the bacterial load in the lungs of infected mice. Here, we observed that 4 out of the 17 selected antigens imparted significant protection against the challenge of M. tb. The four shortlisted antigens were further assessed in a more stringent guinea pig model, where too, they demonstrated.significant protection. It concludes that combining a proteomics approach with the in vivo assessment of vaccine candidates in animal models can be valuable in identifying new potential candidates to expand the antigenic repertoire for novel vaccines against TB.

Mathematical model of mycobacterium-host interaction describes physiology of persistence.

Despite extensive studies on the interactions between Mycobacterium tuberculosis (M.tb) and macrophages, the mechanism by which pathogen evades anti-microbial responses and establishes persistence within the host cell remains unknown. In this study, we developed a four-dimensional ODE model to describe the dynamics of host-pathogen interactions in the early phase of macrophage infection. The aim was to characterize the role of host cellular regulators such as iron and lipids, in addition to the bactericidal effector molecule Nitric Oxide. Conditions for existence and stability of the equilibrium point were analysed by examining the behaviour of the model through numerical simulations. These computational investigations revealed that it was the ability of pathogen to interfere with iron and lipid homeostatic pathways of the host cell, which ensured a shift in balance towards pathogen survival and persistence. Interestingly, small perturbations in this equilibrium triggered the cell's bactericidal response, thereby producing an oscillatory dynamic for disease progression.

Pathogenicity of Mycobacterium tuberculosis is expressed by regulating metabolic thresholds of the host macrophage.

The success of Mycobacterium tuberculosis as a pathogen derives from its facile adaptation to the intracellular milieu of human macrophages. To explore this process, we asked whether adaptation also required interference with the metabolic machinery of the host cell. Temporal profiling of the metabolic flux, in cells infected with differently virulent mycobacterial strains, confirmed that this was indeed the case. Subsequent analysis identified the core subset of host reactions that were targeted. It also elucidated that the goal of regulation was to integrate pathways facilitating macrophage survival, with those promoting mycobacterial sustenance. Intriguingly, this synthesis then provided an axis where both host- and pathogen-derived factors converged to define determinants of pathogenicity. Consequently, whereas the requirement for macrophage survival sensitized TB susceptibility to the glycemic status of the individual, mediation by pathogen ensured that the virulence properties of the infecting strain also contributed towards the resulting pathology.

Characterizing virulence-specific perturbations in the mitochondrial function of macrophages infected with Mycobacterium tuberculosis.

To probe how the pathogen Mycobacterium tuberculosis controls host cellular death pathways, we compared mitochondrial responses in human macrophages infected either with the avirulent mycobacterial strain H37Ra, or its virulent counterpart H37Rv. Following H37Ra infection, induction of the apoptotic response was foreshadowed by the early suppression of stress-induced mitochondrial activity. In contrast, mitochondria in H37Rv-infected cells displayed robust activity with increased membrane potential and ATP synthesis. An examination of the mitochondrial proteome revealed that attenuation of mitochondrial function was also coupled with the vigorous activation of bactericidal mechanisms in H37Ra-infected cells. In contrast, augmentation of mitochondrial activity by H37Rv enabled manipulation of host cellular mechanisms to inhibit apoptosis on the one hand, while ensuring fortification against anti-microbial pathways on the other. These results thus provide novel insights into the molecular interplay that facilitates adaptation of virulent mycobacteria within the hostile intracellular milieu of the host macrophage.

Proviral integration site for Moloney murine leukemia virus (PIM) kinases promote human T helper 1 cell differentiation.

The differentiation of human primary T helper 1 (Th1) cells from naïve precursor cells is regulated by a complex, interrelated signaling network. The identification of factors regulating the early steps of Th1 cell polarization can provide important insight in the development of therapeutics for many inflammatory and autoimmune diseases. The serine/threonine-specific proviral integration site for Moloney murine leukemia virus (PIM) kinases PIM1 and PIM2 have been implicated in the cytokine-dependent proliferation and survival of lymphocytes. We have established that the third member of this family, PIM3, is also expressed in human primary Th cells and identified a new function for the entire PIM kinase family in T lymphocytes. Although PIM kinases are expressed more in Th1 than Th2 cells, we demonstrate here that these kinases positively influence Th1 cell differentiation. Our RNA interference results from human primary Th cells also suggest that PIM kinases promote the production of IFNγ, the hallmark cytokine produced by Th1 cells. Consistent with this, they also seem to be important for the up-regulation of the critical Th1-driving factor, T box expressed in T cells (T-BET), and the IL-12/STAT4 signaling pathway during the early Th1 differentiation process. In summary, we have identified PIM kinases as new regulators of human primary Th1 cell differentiation, thus providing new insights into the mechanisms controlling the selective development of human Th cell subsets.

Mycobacterium tuberculosis-driven targeted recalibration of macrophage lipid homeostasis promotes the foamy phenotype.

Upon infection, Mycobacterium tuberculosis (Mtb) metabolically alters the macrophage to create a niche that is ideally suited to its persistent lifestyle. Infected macrophages acquire a "foamy" phenotype characterized by the accumulation of lipid bodies (LBs), which serve as both a source of nutrients and a secure niche for the bacterium. While the functional significance of the foamy phenotype is appreciated, the biochemical pathways mediating this process are understudied. We found that Mtb induces the foamy phenotype via targeted manipulation of host cellular metabolism to divert the glycolytic pathway toward ketone body synthesis. This dysregulation enabled feedback activation of the anti-lipolytic G protein-coupled receptor GPR109A, leading to perturbations in lipid homeostasis and consequent accumulation of LBs in the macrophage. ESAT-6, a secreted Mtb virulence factor, mediates the enforcement of this feedback loop. Finally, we demonstrate that pharmacological targeting of pathways mediating this host-pathogen metabolic crosstalk provides a potential strategy for developing tuberculosis chemotherapy.

Extracting time-dependent obese-diabetic specific networks in hepatic proteome analysis.

Molecular mechanism governing biological processes leading to dietary obesity and diabetes are largely unknown. Here we study the liver proteome differentially expressed in a long-term high-fat and high-sucrose diet (HFHSD)-induced obesity and diabetes mouse model. Changes in mouse liver proteins were identified using iTRAQ, offline 2D LC (SCX and RP) and MALDI-TOF/TOF MS. A total of 1639 proteins was quantified during 3-15 weeks of disease progression and a pronounced proteome change was captured by incorporating the statistical analysis and network analysis. This underscores the importance of protein expression profiles involved in different biological processes that correlate well with the disease progression. The functionally important modules with key hub proteins such as Egfr, Pklr, Suclg1, and Pcx (Carbohydrate metabolism), Cyp2e1, Fasn, Acat1, and Hmgcs2 (Lipid metabolism and ketogenesis), and Gpx1, Mgst1, and Sod2 (ROS metabolism) can be linked to a physiological state of obesity and T2D. Multiple proteins involved in glucose catabolism and lipogenesis were down-regulated, whereas proteins involved in lipid peroxidation and oxidative phosphorylation were up-regulated. In conclusion, this proteomic study provides targets for future mechanistic and therapeutic studies in relation to development and prevention of obesity and Type 2 Diabetes.