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Abstract Rational Basal cells (BCs) are bronchial progenitor/stem cells that can regenerate injured airway that, in smokers, may undergo malignant transformation. As a model for early stages of lung carcinogenesis, we set out to characterize cytologically normal BC outgrowths from never-smokers and ever-smokers without cancers (controls), as well as from the normal epithelial “field” of ever-smokers with anatomically remote cancers, including lung adenocarcinoma (LUAD) and squamous cell carcinoma (LUSC) (cases). Methods Primary BCs were cultured and expanded from endobronchial brushings taken remote from the site of clinical or visible lesions/tumors. Donor subgroups were tested for growth, morphology, and underlying molecular features by qRT-PCR, RNAseq, flow cytometry, immunofluorescence, and immunoblot. Results (a) the BC population includes epithelial cell adhesion molecule (EpCAM) positive and negative cell subsets; (b) smoking reduced overall BC proliferation corresponding with a 2.6-fold reduction in the EpCAMpos/ITGA6 pos/CD24pos stem cell fraction; (c) LUSC donor cells demonstrated up to 2.8-fold increase in dysmorphic BCs; and (d) cells procured from LUAD patients displayed increased proliferation and S-phase cell cycle fractions. These differences corresponded with: (i) disparate NOTCH1/NOTCH2 transcript expression and altered expression of potential downstream (ii) E-cadherin (CDH1), tumor protein-63 (TP63), secretoglobin family 1a member 1 (SCGB1A1), and Hairy/enhancer-of-split related with YRPW motif 1 (HEY1); and (iii) reduced EPCAM and increased NK2 homeobox-1 (NKX2-1) mRNA expression in LUAD donor BCs. Conclusions These and other findings demonstrate impacts of donor age, smoking, and lung cancer case-control status on BC phenotypic and molecular traits and may suggest Notch signaling pathway deregulation during early human lung cancer pathogenesis.

Abstract Lung diseases, including lung cancer, are rising causes of global mortality. Despite novel imaging technologies and the development of biomarker assays, the detection of lung cancer remains a significant challenge. However, the lung communicates directly with the external environment and releases aerosolized droplets during normal tidal respiration, which can be collected, stored and analzsed as exhaled breath condensate (EBC). A few studies have suggested that EBC contains extracellular vesicles (EVs) whose microRNA (miRNA) cargos may be useful for evaluating different lung conditions, but the cellular origin of these EVs remains unknown. In this study, we used nanoparticle tracking, transmission electron microscopy, Western blot analyses and super resolution nanoimaging (ONi) to detect and validate the identity of exhaled EVs (exh‐EVs). Using our customizable antibody‐purification assay, EV‐CATCHER, we initially determined that exh‐EVs can be selectively enriched from EBC using antibodies against three tetraspanins (CD9, CD63 and CD81). Using ONi we also revealed that some exh‐EVs harbour lung‐specific proteins expressed in bronchiolar Clara cells (Clara Cell Secretory Protein [CCSP]) and Alveolar Type II cells (Surfactant protein C [SFTPC]). When conducting miRNA next generation sequencing (NGS) of airway samples collected at five different anatomic levels (i.e., mouth rinse, mouth wash, bronchial brush, bronchoalveolar lavage [BAL] and EBC) from 18 subjects, we determined that miRNA profiles of exh‐EVs clustered closely to those of BAL EVs but not to those of other airway samples. When comparing the miRNA profiles of EVs purified from matched BAL and EBC samples with our three tetraspanins EV‐CATCHER assay, we captured significant miRNA expression differences associated with smoking, asthma and lung tumor status of our subjects, which were also reproducibly detected in EVs selectively purified with our anti‐CCSP/SFTPC EV‐CATCHER assay from the same samples, but that confirmed their lung tissue origin. Our findings underscore that enriching exh‐EV subpopulations from EBC allows non‐invasive sampling of EVs produced by lung tissues.

Abstract For detecting field carcinogenesis non-invasively, early technical development and case–control testing of exhaled breath condensate microRNAs was performed. In design, human lung tissue microRNA-seq discovery was reconciled with TCGA and published tumor-discriminant microRNAs, yielding a panel of 24 upregulated microRNAs. The airway origin of exhaled microRNAs was topographically “fingerprinted”, using paired EBC, upper and lower airway donor sample sets. A clinic-based case–control study (166 NSCLC cases, 185 controls) was interrogated with the microRNA panel by qualitative RT-PCR. Data were analyzed by logistic regression (LR), and by random-forest (RF) models. Feasibility testing of exhaled microRNA detection, including optimized whole EBC extraction, and RT and qualitative PCR method evaluation, was performed. For sensitivity in this low template setting, intercalating dye-based URT-PCR was superior to fluorescent probe-based PCR (TaqMan). In application, adjusted logistic regression models identified exhaled miR-21, 33b, 212 as overall case–control discriminant. RF analysis of combined clinical + microRNA models showed modest added discrimination capacity (1.1–2.5%) beyond clinical models alone: all subjects 1.1% (p = 8.7e−04)); former smokers 2.5% (p = 3.6e−05); early stage 1.2% (p = 9.0e−03), yielding combined ROC AUC ranging from 0.74 to 0.83. We conclude that exhaled microRNAs are qualitatively measureable, reflect in part lower airway signatures; and when further refined/quantitated, can potentially help to improve lung cancer risk assessment.

Introduction: Hemolysis, elevated liver enzymes, low platelet count (HELLP) syndrome is a leading cause of maternal mortality. The emergence of Coronavirus disease 2019 (COVID-19) has led to challenges in diagnosing HELLP syndrome due to overlapping clinical and laboratory presentations. We report a case of HELLP syndrome complicated by COVID-19 infection. Case Description: An otherwise healthy pregnant 31-year-old female presented with fever, myalgia, and headache. She was found to be COVID-positive with laboratory signs of HELLP syndrome. Symptoms and laboratory findings trended toward normal post-partum confirming the diagnosis of HELLP syndrome. Discussion: A prompt diagnosis of HELLP syndrome is essential to avoid maternal and fetal complications. Clinicians should be aware of the similarities in presentation between HELLP syndrome and COVID-19 for timely diagnosis and treatment.

The role of social media during 16th Lok Sabha elections has led to several insights in the manner in which the youth of today is consuming political news. Several social media platforms have played a significant role in voting behaviour. Social media platform acted as a game changer and a catalyst in wooing young voters and influencing their opinion. While Internet users grew 7% in Urban India reaching 315 million users in 2018, digital adoption is now being propelled by rural India, registering a 35% growth in Internet users over the past year. Also, there have come a general perception that television will play a lesser role in this upcoming election and digital media will play a never before seen influence on voters. This research examines the behaviour of youth in India and examines the level of influence by social media in casting their vote in Lok Sabha elections. Whether social media can be a game changer or an influencer. These findings will be carried out by this research work.