Plausible role of INPP4A dysregulation in idiopathic pulmonary fibrosis.

INPP4A has been shown to be involved in the regulation of cell proliferation and apoptosis of multiple cell types including fibroblasts. Previous reports from our group have demonstrated the role of inositol polyphosphate 4-phosphatase Type I A (INPP4A) in these functions. Though existing evidences suggest a critical role for INPP4A in the maintenance of lung homeostasis, its role in chronic lung diseases is relatively under explored. In the current study, we made an attempt to understand the regulation of INPP4A in idiopathic pulmonary fibrosis (IPF). Through integration of relevant INPP4A gene expression data from public repositories with our results from in vitro experiments and mouse models, we show that INPP4A is altered in IPF. Interestingly, the direction of the change is dependent both on the disease stage and the region of the lung used. INPP4A was found to be upregulated when analyzed in lung sample representative of the whole lung, but was downregulated in the fibrotic regions of the lung. Similarly, INPP4A was found to be high, compared to controls, only in the early stage of the disease. Though the observed increase in INPP4A was found to be negatively correlated to physiological indices, FVC, and DLCO, of lung function, treatment with anti-INPP4A antibody worsened the condition in bleomycin treated mice. These contrasting results taken together are suggestive of a nuanced regulation of INPP4A in IPF which is dependent on the disease stage, cellular state and extent of fibrosis in the lung region being analyzed.

Screening of Indian Lingzhi or Reishi Medicinal Mushroom, Ganoderma lucidum (Agaricomycetes): A UPC2-SQD-MS Approach.

Oriental medicinal mushroom Ganoderma lucidum has been widely used for the promotion of health and longevity owing to its various bioactive constituents. Therefore, comprehending metabolomics of different G. lucidum parts could be of paramount importance for investigating their pharmacological properties. Ultra-performance convergence chromatography (UPC2) along with mass spectrometry (MS) is an emerging technique that has not yet been applied for metabolite profiling of G. lucidum. This study has been undertaken to establish metabolomics of the aqueous extracts of mycelium (GLM), fruiting body (GLF), and their mixture (GLMF) using ultra-performance convergence chromatography single quadrupole mass spectrometry (UPC2-SQD-MS). Aqueous extracts of G. lucidum prepared using an accelerated solvent extraction technique have been characterized for their mycochemical activities in terms of total flavonoid content, 1,1-diphenyl-2-picryl-hydrazyl scavenging activity, and ferric ion reducing antioxidant power. The UPC2-SQD-MS technique has been used for the first time for metabolite profiling of G. lucidum on a Princeton Diol column (4.6 × 250 mm; 5 µm) using supercritical CO2 (solvent) and 20 mM ammonium acetate in methanol (co-solvent). In the present study, UPC2-SQD-MS was found to be a rapid, efficient, and high-throughput analytical technique, whose coupling to principal component analysis (PCA) and phytochemical evaluation could be used as a powerful tool for elucidating metabolite diversity between mycelium and fruiting body of G. lucidum. PCA showed a clear distinction in the metabolite compositions of the samples. Mycochemical studies revealed that overall GLF possessed better antioxidant properties among the aqueous extracts of G. lucidum.

The proteome of Hypobaric Induced Hypoxic Lung: Insights from Temporal Proteomic Profiling for Biomarker Discovery.

Exposure to high altitude induces physiological responses due to hypoxia. Lungs being at the first level to face the alterations in oxygen levels are critical to counter and balance these changes. Studies have been done analysing pulmonary proteome alterations in response to exposure to hypobaric hypoxia. However, such studies have reported the alterations at specific time points and do not reflect the gradual proteomic changes. These studies also identify the various biochemical pathways and responses induced after immediate exposure and the resolution of these effects in challenge to hypobaric hypoxia. In the present study, using 2-DE/MS approach, we attempt to resolve these shortcomings by analysing the proteome alterations in lungs in response to different durations of exposure to hypobaric hypoxia. Our study thus highlights the gradual and dynamic changes in pulmonary proteome following hypobaric hypoxia. For the first time, we also report the possible consideration of SULT1A1, as a biomarker for the diagnosis of high altitude pulmonary edema (HAPE). Higher SULT1A1 levels were observed in rats as well as in humans exposed to high altitude, when compared to sea-level controls. This study can thus form the basis for identifying biomarkers for diagnostic and prognostic purposes in responses to hypobaric hypoxia.

Protective Efficacy of the Caterpillar Mushroom, Ophiocordyceps sinensis (Ascomycetes), from India in Neuronal Hippocampal Cells against Hypoxia.

This study demonstrated the protective efficiency of extracts of the Indian variety of Ophiocordyceps sinensis (=Cordyceps sinensis) (CSEs) in HT22 (murine hippocampal) cells under hypoxic conditions. Various parameters such as cell viability, reactive oxygen species, levels of endogenous antioxidants, inflammatory cytokines, transcription factors, and oxidation of macromolecules were analyzed. In addition, the radical scavenging abilities of hydroxyl radicals, nitric oxide, and superoxide radicals were also studied. Antioxidant compounds, ascorbic acid, hesperidin, and rutin were quantified by high-performance thin-layer chromatography. The information acquired from high-performance thin-layer chromatography profiling was subjected to principal component analysis for data clustering. Findings of this research revealed that ascorbic acid and rutin were highest in aqueous CSE, whereas the maximum amount of hesperidin was found in 25% alcoholic CSE. In vitro studies showed that all the CSEs protected HT22 cells well by upregulating the level of endogenous antioxidants and preventing the oxidation of lipids and proteins. These extracts also reduced the amount of hypoxia-induced inflammatory cytokines and transcription factors on par with the normoxic control with more or less equal protection in the cells under hypoxia, and indicated significant radical scavenging potential.

Lung cancer signature biomarkers: tissue specific semantic similarity based clustering of digital differential display (DDD) data.

BACKGROUND: The tissue-specific Unigene Sets derived from more than one million expressed sequence tags (ESTs) in the NCBI, GenBank database offers a platform for identifying significantly and differentially expressed tissue-specific genes by in-silico methods. Digital differential display (DDD) rapidly creates transcription profiles based on EST comparisons and numerically calculates, as a fraction of the pool of ESTs, the relative sequence abundance of known and novel genes. However, the process of identifying the most likely tissue for a specific disease in which to search for candidate genes from the pool of differentially expressed genes remains difficult. Therefore, we have used 'Gene Ontology semantic similarity score' to measure the GO similarity between gene products of lung tissue-specific candidate genes from control (normal) and disease (cancer) sets. This semantic similarity score matrix based on hierarchical clustering represents in the form of a dendrogram. The dendrogram cluster stability was assessed by multiple bootstrapping. Multiple bootstrapping also computes a p-value for each cluster and corrects the bias of the bootstrap probability. RESULTS: Subsequent hierarchical clustering by the multiple bootstrapping method (α = 0.95) identified seven clusters. The comparative, as well as subtractive, approach revealed a set of 38 biomarkers comprising four distinct lung cancer signature biomarker clusters (panel 1-4). Further gene enrichment analysis of the four panels revealed that each panel represents a set of lung cancer linked metastasis diagnostic biomarkers (panel 1), chemotherapy/drug resistance biomarkers (panel 2), hypoxia regulated biomarkers (panel 3) and lung extra cellular matrix biomarkers (panel 4). CONCLUSIONS: Expression analysis reveals that hypoxia induced lung cancer related biomarkers (panel 3), HIF and its modulating proteins (TGM2, CSNK1A1, CTNNA1, NAMPT/Visfatin, TNFRSF1A, ETS1, SRC-1, FN1, APLP2, DMBT1/SAG, AIB1 and AZIN1) are significantly down regulated. All down regulated genes in this panel were highly up regulated in most other types of cancers. These panels of proteins may represent signature biomarkers for lung cancer and will aid in lung cancer diagnosis and disease monitoring as well as in the prediction of responses to therapeutics.