Bioinformatics analysis of hypoxia associated genes and inflammatory cytokine profiling in COPD-PH.

Pulmonary hypertension (PH) in chronic obstructive pulmonary disease (COPD) is associated with worse clinical outcomes and decreased survival rates. In absence of disease specific diagnostic/therapeutic targets and unclear pathophysiology, there is an urgent need for the identification of potential genetic/molecular markers and disease associated pathways. The present study aims to use a bioinformatics approach to identify and validate hypoxia-associated gene signatures in COPD-PH patients. Additionally, hypoxia-related inflammatory profile is also explored in these patients. Microarray dataset obtained from the Gene Expression Omnibus repository was used to identify differentially expressed genes (DEGs) in a hypoxic PH mice model. The top three hub genes identified were further validated in COPD-PH patients, with chemokine (C-X-C motif) ligand 9 (CXCL9) and CXCL12 showing significant changes in comparison to healthy controls. Furthermore, multiplexed analysis of 10 inflammatory cytokines, tumor necrosis factor alpha (TNF-α), transforming growth factor ß (TGF-ß), interleukin 1-beta (IL-1ß), IL-4, IL-5, IL-6, IL-13, IL-17, IL-18 and IL-21 was also performed. These markers showed significant changes in COPD-PH patients as compared to controls. They also exhibited the ability to differentially diagnose COPD-PH patients in comparison to COPD. Additionally, IL-6 and IL-17 showed significant positive correlation with systolic pulmonary artery pressure (sPAP). This study is the first report to assess the levels of CXCL9 and CXCL12 in COPD-PH patients and also explores their link with the inflammatory profile of these patients. Our findings could be extended to better understand the underlying disease mechanism and possibly used for tailoring therapies exclusive for the disease.

CritCom: assessment of quality of interdisciplinary communication around deterioration in pediatric oncologic patients.

Background: High-quality clinical care requires excellent interdisciplinary communication, especially during emergencies, and no tools exist to evaluate communication in critical care. We describe the development of a pragmatic tool focusing on interdisciplinary communication during patient deterioration (CritCom). Methods: The preliminary CritCom tool was developed after a literature review and consultation with a multidisciplinary panel of global experts in communication, pediatric oncology, and critical care to review the domains and establish content validity iteratively. Face and linguistic validity were established through cognitive interviews, translation, and linguistic synthesis. We conducted a pilot study among an international group of clinicians to establish reliability and usability. Results: After reviewing 105 potential survey items, we identified 52 items across seven domains. These were refined through cognitive interviews with 36 clinicians from 15 countries. CritCom was piloted with 433 clinicians (58% nurses, 36% physicians, and 6% other) from 42 hospitals in 22 countries. Psychometric testing guided the refinement of the items for the final tool. CritCom comprised six domains with five items each (30 total). The final tool has excellent reliability (Cronbach's alpha 0.81-0.86), usability (93% agree or strongly agree that the tool is easy to use), and similar performance between English and Spanish tools. Confirmatory factor analysis was used to establish the final 6-domain structure. Conclusions: CritCom is a reliable and pragmatic bilingual tool to assess the quality of interdisciplinary communication around patient deterioration for children in diverse resource levels globally. Critcom results can be used to design and evaluate interventions to improve team communication.

Conformational perturbation of SARS-CoV-2 spike protein using N-acetyl cysteine: an exploration of probable mechanism of action to combat COVID-19.

The infection caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) resulted in a pandemic with huge death toll and economic consequences. The virus attaches itself to the human epithelial cells through noncovalent bonding of its spike protein with the angiotensin-converting enzyme-2 (ACE2) receptor on the host cell. Based on in silico studies we hypothesized that perturbing the functionally active conformation of spike protein through the reduction of its solvent accessible disulfide bonds, thereby disintegrating its structural architecture, may be a feasible strategy to prevent infection by reducing the binding affinity towards ACE2 enzyme. Proteomics data showed that N-acetyl cysteine (NAC), an antioxidant and mucolytic agent been widely in use in clinical medicine, forms covalent conjugates with solvent accessible cysteine residues of spike protein that were disulfide bonded in the native state. Further, in silico analysis indicated that the presence of the selective covalent conjugation of NAC with Cys525 perturbed the stereo specific orientations of the interacting key residues of spike protein that resulted in threefold weakening in the binding affinity of spike protein with ACE2 receptor. Interestingly, almost all SARS-CoV-2 variants conserved cystine residues in the spike protein. Our finding results possibly provides a molecular basis for identifying NAC and/or its analogues for targeting Cys-525 of the viral spike protein as fusion inhibitor and exploring in vivo pharmaco-preventive and its therapeutic potential activity for COVID-19 disease. However, in-vitro assay and animal model-based experiment are required to validate the probable mechanism of action.Communicated by Ramaswamy H. Sarma.

A new measure for multi-professional medical team communication: design and methodology for multilingual measurement development.

Background: As implementation science in global health continues to evolve, there is a need for valid and reliable measures that consider diverse linguistic and cultural contexts. A standardized, reproducible process for multilingual measure development may improve accessibility and validity by participants in global health settings. To address this need, we propose a rigorous methodology for multilingual measurement development. We use the example of a novel measure of multi-professional team communication quality, a determinant of implementation efforts. Methods: The development and translation of this novel bilingual measure is comprised of seven steps. In this paper, we describe a measure developed in English and Spanish, however, this approach is not language specific. Participants are engaged throughout the process: first, an interprofessional panel of experts and second, through cognitive interviewing for measure refinement. The steps of measure development included: (1) literature review to identify previous measures of team communication; (2) development of an initial measure by the expert panel; (3) cognitive interviewing in a phased approach with the first language (English); (4): formal, forward-backward translation process with attention to colloquialisms and regional differences in languages; (5) cognitive interviewing repeated in the second language (Spanish); (6) language synthesis to refine both instruments and unify feedback; and (7) final review of the refined measure by the expert panel. Results: A draft measure to assess quality of multi-professional team communication was developed in Spanish and English, consisting of 52 questions in 7 domains. This measure is now ready for psychometric testing. Conclusions: This seven-step, rigorous process of multilingual measure development can be used in a variety of linguistic and resource settings. This method ensures development of valid and reliable tools to collect data from a wide range of participants, including those who have historically been excluded due to language barriers. Use of this method will increase both rigor and accessibility of measurement in implementation science and advance equity in research and practice.

COPD and glycopyrronium responsiveness assessment: An appraisal.

Clinical Trial Registration: ECR/159/Inst/WB/2013/RR-20. Background: Glycopyrronium bromide (a long-acting antimuscarinic agent: LAMA) appears pharmacokinetically suitable for testing bronchodilator responsiveness as salbutamol (short-acting ß2-agonist: SABA). Exploring the feasibility, acceptability, degree of reversibility with glycopyrronium, and its comparison with that of salbutamol may be intriguing. Methods: New, consecutive, and willing outpatient attendees in the same season of the two consecutive years with chronic obstructive pulmonary disease (FEV1/FVC <0.07; FEV1 <80% of predicted) were subjected to serial responsiveness with inhalation of salbutamol first followed by 50 µg dry powder glycopyrronium [Salbutamol- Glycopyrronium] (phase-1) in the first year and glycopyrronium followed by salbutamol [Glycopyrronium- Salbutamol] (phase-2) in the following year. We looked for the acceptability, adverse reactions, and degree of changes in FEV1, FVC, FEV1/FVC, and FEF25-75 with comparison between the two groups. Results: The [Salbutamol- Glycopyrronium] group (n = 86) were similar in age, body mass index, and FEV1 to the [Glycopyrronium- Salbutamol] group (n = 88). Both the agents could make a significant (P <.0001) improvement in the parameters independently or as add-on when used serially in alternate orders. The intergroup difference at no stage was significant. The sensitive patients to salbutamol (n = 48), glycopyrronium (n = 44), and both (n = 12) have improvement of 165, 189, and 297 mL while a both-insensitive group (n = 70) had barely 44 mL of improvement. The protocol was universally accepted without any adverse events. Conclusion: Serial testing of salbutamol and glycopyrronium responsiveness in alternate orders provides an insight regarding the independent and the add-on effects of these two agents. About 40% of our chronic obstructive pulmonary disease patients had no clinically appreciable difference in FEV1 with the salbutamol + glycopyrronium combination inhalation.

The impact of lockdown on symptoms and health status of patients with chronic airway diseases: An appraisal of patient perceived impressions.

Background: The pandemic-specific lockdown may influence the health status of patients with chronic airflow obstruction (CAO) as COPD, COPD-PH, and chronic asthma. Objectives: To find the impact of the lockdown on symptoms, and the degree of perceived change in physical activity and emotional health with possible reasons including the indicators of ambient air pollution. Methods: A cohort of CAO patients was telephonically enquired regarding their perceived well-being in symptom status, physical activity, and emotional health with the perceived contribution from plausible reasons (regular medication, simple food, no pollution, and family attention) for the change; all being expressed in percentages. The change in symptom scores as 0-39, 40-79, and 80-100 were regarded as 'low', 'medium', and 'high' respectively. The impact of the individual contributing factor was calculated statistically. The assessment of the CAT (COPD assessment test) score and the ambient air pollution (PM2.5 and PM10) was also done for their association with well-being. Results: There was a universal improvement (p < 0.5) in COPD (n = 113), COPD-PH, (n = 40), and chronic asthma, (n = 19) as regards symptoms, physical activity, and emotional health that tallies to overall and individual change in CAT score. There were concomitant reductions in PM10 and PM2.5 levels during the lockdown compared to the same period of the previous year. All the four listed factors contributed with the 'no/low pollution' and 'simple food being the most important; on acting together, they reduced the moderate and severe symptoms impressively. Conclusion: Reduced air pollution and simple food appear most important for the improvement of CAO patients during the lockdown period.

Metabolomics of asthma, COPD, and asthma-COPD overlap: an overview.

The two common progressive lung diseases, asthma and chronic obstructive pulmonary disease (COPD), are the leading causes of morbidity and mortality worldwide. Asthma-COPD overlap, referred to as ACO, is another complex pulmonary disease that manifests itself with features of both asthma and COPD. The disease has no clear diagnostic or therapeutic guidelines, thereby making both diagnosis and treatment challenging. Though a number of studies on ACO have been documented, gaps in knowledge regarding the pathophysiologic mechanism of this disorder exist. Addressing this issue is an urgent need for improved diagnostic and therapeutic management of the disease. Metabolomics, an increasingly popular technique, reveals the pathogenesis of complex diseases and holds promise in biomarker discovery. This comprehensive narrative review, comprising 99 original research articles in the last five years (2017-2022), summarizes the scientific advances in terms of metabolic alterations in patients with asthma, COPD, and ACO. The analytical tools, nuclear magnetic resonance (NMR), gas chromatography-mass spectrometry (GC-MS), and liquid chromatography-mass spectrometry (LC-MS), commonly used to study the expression of the metabolome, are discussed. Challenges frequently encountered during metabolite identification and quality assessment are highlighted. Bridging the gap between phenotype and metabotype is envisioned in the future.

Development and pilot testing of PROACTIVE: A pediatric onco-critical care capacity and quality assessment tool for resource-limited settings.

BACKGROUND: Nearly 90% children with cancer reside in low- and middle-income countries, which face multiple challenges delivering high-quality pediatric onco-critical care (POCC). We recently identified POCC quality and capacity indicators for PROACTIVE (PediatRic Oncology cApaCity assessment Tool for IntensiVe carE), a tool that evaluates strengths and limitations in POCC services. This study describes pilot testing of PROACTIVE, development of center-specific reports, and identification of common POCC challenges. METHODS: The original 119 consensus-derived PROACTIVE indicators were converted into 182 questions divided between 2 electronic surveys for intensivists and oncologists managing critically ill pediatric cancer patients. Alpha-testing was conducted to confirm face-validity with four pediatric intensivists. Eleven centers representing diverse geographic regions, income levels, and POCC services conducted beta-testing to evaluate usability, feasibility, and applicability of PROACTIVE. Centers' responses were scored and indicators with mean scores ≤75% in availability/performance were classified as common POCC challenges. RESULTS: Alpha-testing ensured face-validity and beta-testing demonstrated feasibility and usability of PROACTIVE (October 2020-June 2021). Twenty-two surveys (response rate 99.4%) were used to develop center-specific reports. Adjustments to PROACTIVE were made based on focus group feedback and surveys, resulting in 200 questions. Aggregated data across centers identified common POCC challenges: (1) lack of pediatric intensivists, (2) absence of abstinence and withdrawal symptoms monitoring, (3) shortage of supportive care resources, and (4) limited POCC training for physicians and nurses. CONCLUSIONS: PROACTIVE is a feasible and contextually appropriate tool to help clinicians and organizations identify challenges in POCC services across a wide range of resource-levels. Widespread use of PROACTIVE can help prioritize and develop tailored interventions to strengthen POCC services and outcomes globally.

Pythiosis in a patient with Acute Myeloid Leukemia: Diagnosis and clinical course.

Pythiosis, caused by Pythium insidiosum (a fungal-like stramenipila, a group of eukaryotes away from the true fungi). Pythium insidiosum causes rare human and animal infections. Transmission from animals to human is yet to be reported. Wet soil and plants near watery environments are the source of infection. We report here a fatal case of human pythiosis in a 9-year old child with acute myeloid leukemia. Organism was identified by DNA sequencing.

LHSPred: A web based application for predicting lung health severity.

Background and objectives: The computed tomography (CT) scan facilities are crucial for diagnosis of pulmonary diseases and are overburdened during the current pandemic of novel coronavirus disease 2019 (COVID-19). LHSPred (Lung Health Severity Prediction) is a web based tool that enables users to determine a score that evaluates CT scans, without radiologist intervention, and predict risk of pneumonia with features of blood examination and age of patient. It can help in early assessment of lung health severity of patients without CT-scan results and also enable monitoring of post-COVID lung health for recovered patients. Methods: This tool uses Support Vector Regression (SVR) and Multi-Layer Perceptron Regression (MLPR), trained on COVID-19 patient data reported in the literature. It allows to compute a score (CT severity score) that evaluates the involvement of lesions in lung lobes and to predict risk of pneumonia. A web application was implemented that uses the trained regression models. Results: The application has proven to be effective and user friendly in a clinical setting for pulmonary disease treatment. The SVR model achieved Pearson correlation coefficient (PCC) of 0.77 and mean absolute error (MAE) of 2.239 while determining the computed tomography (CT) severity score. The MLPR model achieved PCC of 0.77 and MAE of 2.309. Thus, it can be applied as a useful tool in predicting pneumonia in the post COVID-19 era. Conclusion: LHSPred can be used as a decision support system by the clinicians and as a tool for self-assessment by the patients with only six blood test input features.

Prevalence and health status of COPD in rural West Bengal.

Background: Understanding the spirometry-based prevalence with concomitant assessment of the health status is important to appreciate the chronic obstructive pulmonary disease (COPD)-scenario in a geographic area. There is hardly any such rural data available from the developing world. Methods: We screened the adult population (>40 but <75 years) of seven villages in two different blocks of Birbhum district, West Bengal, for the presence respiratory symptoms (active or historical within 1 year). Those screened positive were tested with spirometry to diagnose COPD on having post bronchodilator FEV1/FVC <0.7. The COPD subjects were then applied with COPD assessment test (CAT). Results: Out of 6255 subjects residing in the villages, 1984 subjects belonged to the target age group and 51.56% (1013 of 1984) of them qualified for spirometry which was possible in 953 (88.81%) of them. COPD was identified in 166 (16.36%) of symptomatic individuals. The calculated prevalence of COPD was 2.65% in overall population and 8.367% in population above 40 years. The COPD patients (mean age 59.77 ± 9.47 years) had a male preponderance (120 [72.29%] of 166). They were mostly malnourished (body mass index = 17.15 ± 2.97), with poorhealth status (CAT = 15) and moderate degree (GOLD category-II) of airflow limitation showing FEV1/FVC as 0.60 ± 0.07 and the mean post bronchodilator FEV1 as 52% of predicted (1.26 ± 0.42 L). Most of the sufferers (74.09%) were either active (n = 88) or ex-smokers (n = 35) (>10 pack-years). The nonsmokers constituted 25, 90% (n = 43). Conclusion: The rural COPD prevalence in Bengal is far higher than the estimated national average with the health status of the sufferers been poor.

NMR metabolomic and microarray-based transcriptomic data integration identifies unique molecular signatures of hypersensitivity pneumonitis.

Hypersensitivity pneumonitis (HP) is an immune-mediated granulomatous interstitial lung disease (ILD) that results from repeated inhalation of certain antigens. Despite major advances in research, pathophysiology of the disease remains poorly understood. The present study combines metabolomic and transcriptomic data to determine alterations in HP subjects as compared with healthy controls. Metabolic signatures were identified in serum, exhaled breath condensate (EBC) and bronchoalveolar lavage fluid (BALF) of HP patients using proton nuclear magnetic resonance (NMR) metabolomics. The expression of three metabolites, i.e., lactate, pyruvate, and proline, was found to be significantly altered in all three biofluids. The potential of differential diagnosis based on these three metabolites was investigated by including a group of patients with sarcoidosis, which is another type of granulomatous ILD. In addition, differentially expressed transcriptomic fingerprints in blood samples were identified by analyzing a Gene Expression Omnibus (GEO) database. The transcriptomics analysis of these microarray-based data revealed 59 genes to be significantly dysregulated in patients with HP. Over representation analysis of the metabolites and genes of interest was performed using IMPaLA (Integrated Molecular Pathway Level Analysis) version 12. Integrated analysis of serum metabolite signatures and blood gene expression suggests dysregulation of PI3K-AKT signaling and TCA cycle pathways in these patients. This preliminary study is a step towards better understanding of the pathogenesis of HP by identification of differentially expressed metabolites and transcriptomic fingerprints. These molecular signatures may be explored as diagnostic markers for differentiating HP from other lung diseases.

Unsuspected Subclinical Left Ventricular Dysfunction in Post-COVID Patients: A Real-world Observation.

BACKGROUND: Subclinical myocardial dysfunction may exist in post-COVID-19 patients and may carry significance in long term. METHODOLOGY: Subjects of long-COVID-19 with historically and radiologically significant pulmonary involvement (without documented cardiac involvement) were evaluated on outpatient follow-up echocardiographically when they had disproportionate shortness of breath (SOB), fatigue, or high pulse rate as perceived by the physicians. The common acute-phase symptoms were noted and scored retrospectively. The assessment included spirometry and measurement of chronic obstructive pulmonary disease (COPD) assessment test (CAT) score with measurement of the left ventricular (LV) and right ventricular (RV) free wall global longitudinal strain as an adjunct to routine two-dimensional and Doppler echocardiography and spirometry. The results were evaluated statistically with respect to the history of hospitalization. RESULTS: The hospitalized (n = 15) and nonhospitalized (n = 10) patients were demographically similar. However, the nonhospitalized patients had higher total symptom score (p = 0.03), anosmia (p = 0.017), and ageusia (p = 0.0019). At follow-up (>3 months of acute illness), the nonhospitalized patients had a better CAT score (p = 0.04), higher change in max pulse rate (p = 0.03), and higher forced expiratory volume in 1 second (FEV1) (p = 0.002), tricuspid annular plane systolic excursion (TAPSE) (p = 0.02), and left ventricular global longitudinal strain (LVGLS) (-17.15 ± 1.19 vs -13.11 ± 1.91) (p = 0.0001). Overall, the two groups formed distinct clusters. The LVGLS and the maximum pulse rate difference in the two chair test (2CT) seem to contribute maximally to the variance between the two groups in multivariate analysis. CONCLUSION: The subclinical myocardial dysfunction persisting in post-COVID patients (without suspected cardiac affection and lower neuroinflammatory symptoms in the acute phase) with significant pulmonary affection needs further evaluation. They demonstrate a higher max pulse rate difference in the 2CT. This real-world observation demands further investigations.

The increasing trend and the seasonal variation in attendance of diffuse parenchymal lung disease patients presenting to a pulmonary clinic in Eastern India.

BACKGROUND: Diffuse parenchymal lung disease (DPLD) is not an uncommon problem in clinical practice. Although the exact prevalence of DPLD in India is not known, the relative etiological distribution in DPLD in India has been reported. There has been no information as regards the seasonality of the disease. PATIENTS AND METHODS: The archive of the Institute of Pulmocare and Research, Kolkata, was searched for the number of new patients registered at the outpatient department to a single consultant (practicing in the same style on appointment only) over years from 2009 to 2019. The attendance (absolute and relative) was arranged year wise and then month wise to look for the annual and seasonal trends, if any. RESULTS: A total of 2226 patients were registered from 2009 to 2019. There has been a steady increase in both the absolute number (104 in 2009 to 204 in 2019) and the relative percentage of attendance (4.36% in 2009 to 6.9% in 2019) of new registration of DPLD patients over the years. Regarding seasonal variation, two consistent peaks in attendance have been observed as December-January and April-May over the years with dips in February and September; the first being more consistent then the latter. CONCLUSIONS: The increase in relative attendance in the DPLD patients over the years needs further investigation to establish a rising trends in incidence and prevalence of DPLD. The unequivocal trend in seasonal variation needs attention and further research.

Identification of novel metabolic signatures potentially involved in the pathogenesis of COPD associated pulmonary hypertension.

INTRODUCTION: Chronic obstructive pulmonary disease (COPD) associated pulmonary hypertension (COPD-PH), one of the most prevalent forms of PH, is a major burden on the healthcare system. Although PH in COPD is usually of mild-to-moderate severity, its presence is associated with shorter survival, more frequent exacerbations and worse clinical outcomes. The pathophysiologic mechanisms responsible for PH development in COPD patients remain unclear. It is envisioned that a better understanding of the underlying mechanism will help in diagnosis and future treatment strategies. OBJECTIVES: The present study aims to determine metabolomic alterations in COPD-PH patients as compared to healthy controls. Additionally, to ensure that the dysregulated metabolites arise due to the presence of PH per se, an independent COPD cohort is included for comparison purposes. METHODS: Paired serum and exhaled breath condensate (EBC) samples were collected from male patients with COPD-PH (n = 60) in accordance with the 2015 European Society of Cardiology (ESC)/European Respiratory Society (ERS) guidelines. Age, sex and BMI matched healthy controls (n = 57) and COPD patients (n = 59) were recruited for comparison purposes. All samples were characterized using 1H nuclear magnetic resonance (NMR) spectroscopy. RESULTS: Fifteen serum and 9 EBC metabolites were found to be significantly altered in COPD-PH patients as compared to healthy controls. Lactate and pyruvate were dysregulated in both the biofluids and were further correlated with echocardiographic systolic pulmonary artery pressure (sPAP). Multivariate analysis showed distinct class separation between COPD-PH and COPD. CONCLUSIONS: The findings of this study indicate an increased energy demand in patients with COPD-PH. Furthermore, both lactate and pyruvate correlate with sPAP, indicating their importance in the clinical course of the disease.