Exploring the association between long-term MODIS aerosol and air pollutants data across the Northern Great Plains through machine learning analysis.

Aerosol optical depth (AOD) and Ångström exponent (AE) are the major environmental indicators to perceive air quality and the impact of aerosol on climate change and health as well as the global atmospheric conditions. In the present study, an average of AOD and AE data from Tera and Aqua satellites of MODIS sensors has been investigated over 7 years i.e., from 2016 to 2022, at four locations over Northern Great Plains. Both temporal and seasonal variations over the study periods have been investigated to understand the behavior of AOD and AE. Over the years, the highest AOD and AE were observed in winter season, varying from 0.75 to 1.17 and 1.30 to 1.63, respectively. During pre-monsoon season, increasing trend of AOD varying from 0.65 to 0.95 was observed from upper (New Delhi) to lower (Kolkata) Gangetic plain, however, during monsoon and post-monsoon a reverse trend varying from 0.85 to 0.65 has been observed. Seasonal and temporal aerosol characteristics have also been analyzed and it has been assessed that biomass burning was found to be the major contributor, followed by desert dust at all the locations except in Lucknow, where the second largest contributor was dust instead of desert dust. During season-wise analysis, biomass burning was also found to be as the major contributor at all the places in all the seasons except New Delhi and Lucknow, where dust was the major contributor during pre-monsoon. A boosting regression algorithm was done using machine learning to explore the relative influence of different atmospheric parameters and pollutants with PM2.5. Water vapor was assessed to have the maximum relative influence i.e., 51.66 % followed by CO (21.81 %). This study aims to help policy makers and decision makers better understand the correlation between different atmospheric components and pollutants and the contribution of different types of aerosols.

Spatio-temporal assessment of ambient air quality, their health effects and improvement during COVID-19 lockdown in one of the most polluted cities of India.

The present work aims to investigate seasonal variations in air pollution levels in Lucknow and assess the ambient air quality of the city together with highlighting the health impacts of major pollutants like PM10, PM2.5, SO2, NO2, Pb, Ni and aerosols from 2010 to 2019. The maximum and minimum values of PM10, PM2.5, SO2, NO2, Pb and Ni were found to be 270.75 and 122.45 µg/m3, 124.95 and 95.52 µg/m3, 25.60 and 8.05 µg/m3, 75.65 and 23.85 µg/m3, 0.66 and 0.03 µg/m3 and 0.07 and 0.01 ng/m3, respectively. Health impact of particulate matter has also been assessed with AirQ+, and it was estimated that long-term exposure of PM10 was attributed to between 37 and 48% for post-neonatal (age 1-12 months) mortality rate due to all causes, whereas long-term attributable proportions in mortality due to exposure of PM2.5 were to about 19 to 28% from all causes. Further, an attempt has also been made to evaluate the impact of lockdown amid COVID-19 on the ambient air quality of Lucknow. During the lockdown, PM2.5 levels reduced by 65% (at Gomti Nagar), 23% (at central school), 79% (at Lalbagh) and 35% (at Talkatora), due to which, air quality index of Gomti Nagar came down to 43, well below 50 which falls in the healthy range. NO2 levels also came down. However, levels of SO2 did not show significant reduction. Correlating the data between aerosol optical depth and Angstrom exponent by Pearson correlation analysis revealed a significant positive correlation (r = 0.65, P < 0.001).

Epidemiology and Antifungal Susceptibility of Infections Caused by Trichosporon Species: An Emerging Non-Candida and Non-Cryptococcus Yeast Worldwide.

Introduction: Over the past four decades, there has been an increase in the number of fatal opportunistic invasive trichosporonosis cases especially in immunocompromised hosts. Objective: The objective of the study is to evaluate the epidemiological, clinical details and antifungal susceptibility pattern of the patients with Trichosporon infections. Materials and Methods: Twenty-four clinical isolates of Trichosporon species isolated from blood, samples, pleural fluid and nail were included in this study, over a period of 12 years (2005-2016) in a tertiary hospital in North India. The isolates were characterised phenotypically and few representative isolates were sequenced also. The minimum inhibitory concentration (MIC) was determined as per Clinical and Laboratory Standards Institute, 2012. Results: Trichosporon spp. from blood culture (57.78%), nail (37.5%) and pleural fluid (4.17%). On phenotypic tests, 79.16% of the isolates were Trichosporon asahii, followed by Trichosporon dermatis (8.33%), Trichosporon japonicum (4.17%), Trichosporon ovoides (4.17%) and Trichosporon mucoides (4.17%). The MIC range of Trichosporon species from invasive infections were fluconazole (0.06-256 µg/ml), amphotericin B (0.125-16 µg/ml), voriconazole (0.0616-8 µg/ml), posaconazole (0.0616-32 µg/ml) and caspofungin (8-32 µg/ml). The isolates from superficial infection were resistant to fluconazole (0.06-256 µg/ml) and itraconazole (0.125-32 µg/ml), all were susceptible to ketoconazole and while only two were resistant to voriconazole (0.25-4 µg/ml). Conclusion: T. asahii was the most common isolate. Disseminated trichosporonosis is being increasingly reported worldwide including India and represents a challenge for both diagnosis and species identification. Prognosis is limited, and antifungal regimens containing triazoles appear to be the best therapeutic approach. In addition, accurate identification, removal of central venous lines and voriconazole-based treatment along with control of underlying conditions were associated with favourable outcomes.

Acute kidney injury following rhabdomyolysis and sepsis after non-poisonous desert monitor bite.

The desert monitor, Varanus griseus, is a species of desert monitor lizard found in North-Western India. They are believed to be non-poisonous. We report a case of Indian desert monitor bite leading to acute renal failure following rhabdomyolysis and severe sepsis. Prompt diagnosis and treatment resulted in the favourable outcome. This is author's intent to highlight the complication that may occur after Indian desert monitor bite.

Screening of invasive fungal infections by a real-time panfungal (pan-ACF) polymerase chain reaction assay in patients with haematological malignancy.

BACKGROUND: Invasive fungal infection (IFI) is a fatal infection in haematology patients. There is an urgent need for reliable screening methods facilitating timely diagnosis and treatment. A real-time panfungal polymerase chain reaction (PCR) assay based on TaqMan technology targeting 18S ribosomal RNA gene was used to screen whole blood specimen obtained from series of Haematology malignancy patients for IFIs. MATERIALS AND METHODS: The panfungal (Pan-ACF) assay was employed to investigate specimen from 133 patients in duplicate with suspected IFI. In addition twenty healthy subjects and twenty patients with bacterial infections were taken as control. The patients with suspected IFI were also diagnosed by conventional methods including direct microscopy, culture techniques and antigen detection (galactomannan antigen ELISA and latex agglutination for cryptococcal antigen). The results of molecular testing were evaluated in relation to the criteria proposed by the European Organization for Research and Treatment of Cancer and patients were classified as having proven and probable IFD. RESULTS: Of 133 patients, 89 had proven, 18 had probable and 26 had possible IFI. One hundred four samples were reverse transcription-PCR positive. Of 89 proven cases, 84 were panfungal PCR positive. These 84 cases included 82 cases which revealed growth on fungal blood culture and two cases were negative on fungal blood culture. Of the 82 cases which revealed growth on culture: 74 grew Candida in culture, 3 grew Fusarium solani, 5 grew Aspergillus species on blood culture. The later five were also galactomannan antigen positive. The five specimen which were negative on panfungal PCR, two grew Trichosporon asahii, one grew Candida rugosa and two grew as Cryptococcus neoformans var. neoformans. Of the 18 probable cases, 18 were panfungal PCR positive. These were also galactomannan antigen positive. The sensitivity and specificity of panfungal PCR in proven cases were 94.3% and 95.2%, respectively. The positive and negative predictive values proven cases were 97.6% and 88.9%, respectively. CONCLUSIONS: The panfungal (Pan-ACF) real-time PCR assay can detect common fungal genera and it may be used as an adjunct to conventional methods for screening of IFI.

Emergence of non-albicans Candida species and antifungal resistance in a tertiary care hospital.

The spectrum of candidiasis has changed with the emergence of non-albicans Candida spp. and acquired antifungal resistance, especially in immunocompromised hosts. This changing scenario has necessitated routine antifungal susceptibility testing. In the present work, 102 Candida spp. isolates gathered during 2003 - 2004 were characterized by standard procedures, and antifungal susceptibility testing to amphotericin B, fluconazole and itraconazole was performed by broth macrodilution (BMD)-minimum inhibitory concentration (MIC) and disk diffusion (DD) methods. Among all isolates, 77.4% were from an ICU and 10.8% were obtained from a nursery. The majority of the isolates were C. tropicalis (48%), followed by C. parapsilosis (27.4%) and C. albicans (22.5%). Overall 6.9, 4.9 and 3.9% of all isolates were resistant to amphotericin B, fluconazole and itraconazole, respectively. Out of the 5 (4.9%) isolates resistant to fluconazole, 4 (3.9%) were from patients with AIDS on fluconazole prophylaxis. A discrepancy was observed between the results of susceptibility testing by DD and those by BMD-MIC: 15 (14.7%) isolates were reported to be resistant by DD despite having low MICs. Based on these results, it was concluded that initial antifungal screening of clinical isolates by the DD method followed by confirmation of resistant strains by the broth dilution method is desirable to optimize patient management.

Evanescent wave absorbance based fiber optic biosensor for label-free detection of E. coli at 280 nm wavelength.

A novel label-free technique for the detection of pathogens based on evanescent wave absorbance (EWA) changes at 280 nm from a U-bent optical fiber sensor is demonstrated. Bending a decladded fiber into a U-shaped structure enhances the penetration depth of evanescent waves and hence sensitivity of the probe. We show that the enhanced EWA response from such U-bent probes, caused by the inherent optical absorbance properties of bacterial cells or biomolecules specifically bound to the sensor surface, can be exploited for the detection of pathogens. A portable optical set-up with a UV light emitting diode, a spectrometer and U-bent fiber optic probe of 200 µm core diameter, 0.75 mm bend radius and effective probe length of 1cm demonstrated an ability to detect less than 1000 cfu/ml.