Correlation of severity & clinical outcomes of COVID-19 with virus variants: A prospective, multicentre hospital network study.

BACKGROUND OBJECTIVES: The clinical course of COVID-19 and its prognosis are influenced by both viral and host factors. The objectives of this study were to develop a nationwide platform to investigate the molecular epidemiology of SARS-CoV-2 (Severe acute respiratory syndrome Corona virus 2) and correlate the severity and clinical outcomes of COVID-19 with virus variants. METHODS: A nationwide, longitudinal, prospective cohort study was conducted from September 2021 to December 2022 at 14 hospitals across the country that were linked to a viral sequencing laboratory under the Indian SARS-CoV-2 Genomics Consortium. All participants (18 yr and above) who attended the hospital with a suspicion of SARS-CoV-2 infection and tested positive by the reverse transcription-PCR method were included. The participant population consisted of both hospitalized as well as outpatients. Their clinical course and outcomes were studied prospectively. Nasopharyngeal samples collected were subjected to whole genome sequencing to detect SARS-CoV-2 variants. RESULTS: Of the 4972 participants enrolled, 3397 provided samples for viral sequencing and 2723 samples were successfully sequenced. From this, the evolution of virus variants of concern including Omicron subvariants which emerged over time was observed and the same reported here. The mean age of the study participants was 41 yr and overall 49.3 per cent were female. The common symptoms were fever and cough and 32.5 per cent had comorbidities. Infection with the Delta variant evidently increased the risk of severe COVID-19 (adjusted odds ratio: 2.53, 95% confidence interval: 1.52, 4.2), while Omicron was milder independent of vaccination status. The independent risk factors for mortality were age >65 yr, presence of comorbidities and no vaccination. INTERPRETATION CONCLUSIONS: The authors believe that this is a first-of-its-kind study in the country that provides real-time data of virus evolution from a pan-India network of hospitals closely linked to the genome sequencing laboratories. The severity of COVID-19 could be correlated with virus variants with Omicron being the milder variant.

Prevalence of common mental disorders and treatment gap among patients with non-communicable diseases in the rural areas of East India.

BACKGROUND: Mental and physical non-communicable diseases (NCDs) coexist, because they share common environmental and behavioral risk factors. The treatment gap for common mental disorders, such as depression, anxiety, and substance use, is large compared to other NCDs. OBJECTIVE: To determine the prevalence and treatment gap of common mental disorders among patients with non-communicable diseases. METHODOLOGY: The community-based cross-sectional study was conducted in the rural parts of East India, in people aged 30 years and older with NCDs. A simple random sample was chosen to select the villages and participants. Eligible participants administered with screening and diagnostic questionnaire for depression, anxiety, and substance use. Those diagnosed with mental disorders were again assessed for treatment status in the last 12 months. Non-receipt of treatment was considered as treatment gap. RESULTS: A total of 515 participants were included in the analysis. The overall prevalence of common mental disorders among the study population was 46.4% (95% CI 42.0-50.8), and excluding substance use, the prevalence was 11.7% (95% CI 9.0-14.7). The treatment gap for common mental disorders among patients with non-communicable diseases, including and excluding substance use, was 98.3% (95% CI 95.8-99.5) and 93.3% (95% CI 83.8-98.2), respectively. CONCLUSION: The prevalence and treatment gap of common mental disorders among persons with NCDs was high. Public health interventions need to be emphasized for the integration of mental health care into NCD care.

Degradation and metagenomic analysis of 4-chlorophenol utilizing multiple metal tolerant bacterial consortium.

Chlorophenols are persistent environmental pollutants used in synthesizing dyes, drugs, pesticides, and other industrial products. The chlorophenols released from these processes seriously threaten the environment and human health. The present study describes 4-chlorophenol (4-CP) degradation activity and metagenome structure of a bacterial consortium enriched in a 4-CP-containing medium. The consortium utilized 4-CP as a single carbon source at a wide pH range, temperature, and in the presence of heavy metals. The immobilized consortium retained its degradation capacity for an extended period. The 4-aminoantipyrine colorimetric analysis revealed complete mineralization of 4-CP up to 200 mg/L concentration and followed the zero-order kinetics. The addition of glycerol and yeast extract enhanced the degradation efficiency. The consortium showed both ortho- and meta-cleavage activity of catechol dioxygenase. Whole genome sequence (WGS) analysis revealed the microbial compositions and functional genes related to xenobiotic degradation pathways. The identified genes were mapped on the KEGG database to construct the 4-CP degradation pathway. The results exhibited the high potential of the consortium for bioremediation of 4-CP contaminated sites. To our knowledge, this is the first report on WGS analysis of a 4-CP degrading bacterial consortium.

Long COVID following Omicron wave in Eastern India-A retrospective cohort study.

Long coronavirus disease (COVID) or postacute sequelae of coronavirus disease of 2019 (COVID-19) is widely reported but the data of long COVID after infection with the Omicron variant is limited. This study was conducted to estimate the incidence, characteristics of symptoms, and predictors of long COVID among COVID-19 patients diagnosed during the Omicron wave in Eastern India. The cohort of COVID-19 patients included were adults (≥18 years) diagnosed as severe acute respiratory syndrome coronavirus 2 positive with Reverse Transcription Polymerase Chain Reaction. After 28 days of diagnosis; participants were followed up with a telephonic interview to capture data on sociodemographic, clinical history, anthropometry, substance use, COVID-19 vaccination status, acute COVID-19 symptoms, and long COVID symptoms. The long COVID symptoms were self-reported by the participants. Logistic regression was used to determine the predictors of long COVID. The median follow-up of participants was 73 days (Interquartile range; 67-83). The final analysis had 524 participants' data; among them 8.2% (95% Confidence Interval [CI]: 6%-10.9%) self-reported long COVID symptoms. Fatigue (34.9%) was the most common reported symptom followed by cough (27.9%). In multivariable logistic regression only two predictors were statistically significant-number of acute COVID-19 symptoms ≥ five (Adjusted odds ratio (aOR) = 2.95, 95% CI: 1.30-6.71) and past history of COVID-19 (aOR = 2.66, 95% CI: 1.14-6.22). The proportion of self-reported long COVID is considerably low among COVID-19 patients diagnosed during the Omicron wave in Eastern India when compared with estimates during Delta wave in the same setting.

Towards the energy landscape of adenylate kinase in crowded milieu: Activity, conformation, structure and dynamics in sequence.

Enzyme function is governed by a complex network of conformational changes and internal dynamics, with the same getting more convoluted in the crowded cellular environment. Here, we have explored an intricate interplay amongst activity, structure, conformation, and dynamics of a multidomain enzyme, AK3L1 (UniProtKB: Q9UIJ7) in the crowded milieu. We have monitored changes in the enzyme landscape in response to the chemical denaturant, urea, under the influence of different concentrations of macromolecular crowders. Extensive experimental analyses using FRET-based domain displacement measurements, sub-nanosecond time scale local dynamics, and global structural changes, along with enzymatic activity studies, have been carried out to get deeper insights into the factors that may modulate the functional landscape of adenylate kinase (AK3L1). It was observed that AK3L1 gets activated at low urea concentrations, whereas higher urea concentrations unfold and thereby deactivate the enzyme. A sequential response of AK3L1 is observed towards external perturbation (urea) occurring through a series of well-defined steps. Incorporation of crowders not only shift the maximum activity of enzyme to a higher urea concentration, but also enhance domain compaction, as revealed by FRET studies. The modulation in enzyme activity and solvation dynamics acting as local response, precede global unfolding of the enzyme, indicating that the structural alterations around the active site are quite decoupled from the large amplitude global transitions.

Taxonomic and Predictive Functional Profile of Hydrocarbonoclastic Bacterial Consortia Developed at Three Different Temperatures.

Microbial community exhibit shift in composition in response to temperature variation. We report crude oil-degrading activity and high-throughput 16S rRNA gene sequencing (metagenome) profiles of four bacterial consortia enriched at three different temperatures in crude oil-amended Bushnell-Hass Medium from an oily sludge sediment. The consortia were referred to as O (4 ± 2 â„ƒ in 3% w/v crude oil), A (25 ± 2 â„ƒ in 1% w/v crude oil), H (25 ± 2 â„ƒ in 3% w/v crude oil), and X (45 ± 2 â„ƒ in 3% w/v crude oil). The hydrocarbon-degrading activity was highest for consortium A and H and lowest for consortium O. The metagenome profile revealed the predominance of Proteobacteria (62.12-1.25%) in each consortium, followed by Bacteroidota (18.94-37.77%) in the consortium O, A, and H. Contrarily, consortium X comprised 7.38% Actinomycetota, which was essentially low (< 0.09%) in other consortia, and only 0.41% Bacteroidota. The PICRUSt-based functional analysis predicted major functions associated with the metabolism and 5060 common KEGG Orthology (KOs). A total of 296 KOs were predicted exclusively in consortium X. Additionally, 247 KOs were predicted from xenobiotic biodegradation pathways. This study found that temperature had a stronger influence on the composition and function of the bacterial community than crude oil concentration.

Extraintestinal pathogenic Escherichia coli (ExPEC) reservoirs, and antibiotics resistance trends: a one-health surveillance for risk analysis from "farm-to-fork".

Extraintestinal pathogenic Escherichia coli (ExPEC) associated infections are significant health concerns for both animals and humans. ExPEC strains are associated with various infections in humans, i.e. urinary tract infections, meningitis, septicemia, and other infections. Over the few years, several studies revealed, food animals act as a reservoir for ExPEC pathovars, but there is no information about the agricultural sector. In particular, the extensive use of antibiotics in food animals and agricultural settings could be significantly contributed to the emergence of antibiotic-resistant pathogens. However, global outbreaks of food-borne illnesses from contaminated food have made a significant concern for both public health and food safety. This review focuses on the reservoirs for ExPEC and their potential circulation between animals, humans, and environment. In this, we first report that the agricultural setting could be the reservoir of ExPEC and can play a role in disseminating antimicrobial-resistant ExPEC. A thorough understanding of ExPEC ecology, reservoirs, and transmission dynamics can significantly contribute to reducing the burden of ExPEC-associated infections. Overall, the study provides the important data on the current state of knowledge for different reservoirs with dynamic, dissemination, and transmission of antimicrobial-resistance ExPEC in animals, humans, and environment in the "One-Health" context.

Adverse events following immunization of COVID-19 (Covaxin) vaccine at a tertiary care center of India.

The study aimed to assess the adverse events following COVID-19 vaccine (Covaxin) immunization at a tertiary care institution and also assess the predictors of the adverse events following immunization (AEFI). The prospective observational study was conducted in a tertiary care institute among the Covaxin beneficiaries between June 28 and September 6, 2021. A total of 1826 participants were assessed for any local or systemic adverse events after seven days of vaccination. A telephonic interview was conducted, and the beneficiaries were assessed according to the adverse event grading. A total of 1826 participants were assessed for AEFI, and 544 (29.8%) reported at least one of the AEFI. No severe adverse events were reported, and about 1.6% had moderate AEFI. Pain at the injection site (14.6%), fever (9.7%), and myalgia (5.9%) were the common adverse events reported by the participants. AEFI incidence was higher in the first dose (38.1%) when compared to the second dose (26.4%), and this finding was significant with a p < 0.001. The major factors associated with AEFI were female sex, history of an allergic reaction, presence of comorbidities, acute infection in the past 3 months, and intake of chronic medications. Precaution needs to be taken while vaccinating individuals having allergies, comorbidities, acute infection in the last 3 months, and individuals on chronic medication.

Dynamics and prevalence of specific hydrocarbonoclastic bacterial population with respect to nutrient treatment levels in crude oil sludge.

The bacterial community composition in soil sediments changes with respect to nutrient concentrations and environmental conditions. Reports on the correlation between bacterial populations and inorganic nutrient concentrations in oily sediments are limited. The present time series study reports the prevalence of specific hydrocarbon-degrading bacterial communities in nutrient-treated oily sludge microcosms. The hydrocarbon degradation was maximum at 625 µg nitrogen (N) and 62.5 µg phosphorus (P)/g sludge sediment. The 16S rRNA gene-based DGGE analyses revealed noticeable changes in bacterial community composition with time and levels of nutrient treatment. BLASTn analysis of the 16S rRNA gene clone sequence showed the abundance of γ-Proteobacteria (44%), α-Proteobacteria (16%), ß-Proteobacteria (10%), CFB (4%), and unidentified bacterial clones (26%). The catechol 1,2-dioxygenase (C12O) and catechol 2,3-dioxygenase (C23O) gene clones were affiliated to the genus Sphingomonas, highlighting the vital role of Sphingomonas in aromatic hydrocarbon degradation. The quantity of the 16S rRNA gene and the alkane hydroxylase (alkB) gene reached maximum levels in extended duration microcosms treated with 625 µg N and 62.5 µg P/g sludge sediment. In contrast, the C12O gene reached its highest abundance at a low N concentration.

Biodegradation of malathion by Micrococcus sp. strain MAGK3: kinetics and degradation fragments.

Malathion is widely used as an agricultural insecticide, but its toxic nature makes it a serious environmental contaminant. To screen indigenous bacteria for malathion degradation, a strain MAGK3 capable of utilizing malathion as its sole carbon and energy source was isolated from Pennisetum glaucum agricultural soil. Based on morphological and biochemical characteristics and 16S rDNA sequence analysis, strain MAGK3 was identified as Micrococcus aloeverae. The strain was cultured in the presence of malathion under aerobic and energy-restricting conditions, and it grew well in MSM containing malathion (1000 µl/L), showing the highest specific growth rate at 500 µl/L. Reverse-phase UHPLC-DAD analysis indicated that 100%, 90.48%, 84.27%, 75.46%, 66.65%, and 31.96% of malathion were degraded within 15 days in liquid culture augmented with 50, 100, 200, 300, 500, and 1000 µl/L concentrations of commercial malathion, respectively. Confirmation of malathion degradation to malathion mono, diacids, and phosphorus moiety was performed by Q-TOF-MS analysis, and a pathway of biodegradation was proposed. The influence of co-substrates was also examined to optimize biodegradation further. Kinetic studies based on different models were conducted, and the results demonstrated good conformity with the first-order model. Malathion degradation process by Micrococcus aloeverae was characterized by R2 of 0.95, and the initial concentration was reduced by 50% i.e. (DT50) in 8.11 d at an initial concentration of 500 µl/L. This establishes the Micrococcus sp. as a potent candidate for active bioremediation of malathion in liquid cultures as it can withstand high malathion load and can possibly impact the development strategies of bioremediation for its elimination.

Molecular characterization and genetic diversity studies of Indian soybean (Glycine max (L.) Merr.) cultivars using SSR markers.

BACKGROUND: The genetic base of soybean cultivars in India has been reported to be extremely narrow, due to repeated use of few selected and elite genotypes as parents in the breeding programmes. This ultimately led to the reduction of genetic variability among existing soybean cultivars and stagnation in crop yield. Thus in order to enhance production and productivity of soybean, broadening of genetic base and exploring untapped valuable genetic diversity has become quite indispensable. This could be successfully accomplished through molecular characterization of soybean genotypes using various DNA based markers. Hence, an attempt was made to study the molecular divergence and relatedness among 29 genotypes of soybean using SSR markers. METHODS AND RESULTS: A total of 35 SSR primers were deployed to study the genetic divergence among 29 genotypes of soybean. Among them, 14 primer pairs were found to be polymorphic producing a total of 34 polymorphic alleles; and the allele number for each locus ranged from two to four with an average of 2.43 alleles per primer pair. Polymorphic information content (PIC) values of SSRs ranged from 0.064 to 0.689 with an average of 0.331. The dendrogram constructed based on dissimilarity indices clustered the 29 genotypes into two major groups and four sub-groups. Similarly, principal coordinate analysis grouped the genotypes into four major groups that exactly corresponded to the clustering of genotypes among four sub-groups of dendrogram. Besides, the study has reported eight unique and two rare alleles that could be potentially utilized for genetic purity analysis and cultivar identification in soybean. CONCLUSION: In the present investigation, two major clusters were reported and grouping of large number of genotypes in each cluster indicated high degree of genetic resemblance and narrow genetic base among the genotypes used in the study. With respect to the primers used in the study, the values of PIC and other related parameters revealed that the selected SSR markers are moderately informative and could be potentially utilized for diversity analysis of soybean. The clustering pattern of dendrogram constructed based on SSR loci profile displayed good agreement with the cultivar's pedigree information. High level of genetic similarity observed among the genotypes from the present study necessitates the inclusion of wild relatives, land races and traditional cultivars in future soybean breeding programmes to widen the crop gene pool. Thus, hybridization among diverse gene pool could result in more heterotic combinations ultimately enhancing genetic gain, crop yield and resistance to various stress factors.

Metformin use in patients hospitalized with COVID-19: lower inflammation, oxidative stress, and thrombotic risk markers and better clinical outcomes.

Diabetes mellitus (DM) is associated with a greater risk of COVID-19 and an increased mortality when the disease is contracted. Metformin use in patients with DM is associated with less COVID-19-related mortality, but the underlying mechanism behind this association remains unclear. Our aim was to explore the effects of metformin on markers of inflammation, oxidative stress, and hypercoagulability, and on clinical outcomes. Patients with DM on metformin (n = 34) and metformin naïve (n = 41), and patients without DM (n = 73) were enrolled within 48 h of hospital admission for COVID-19. Patients on metformin compared to naïve patients had a lower white blood cell count (p = 0.02), d-dimer (p = 0.04), urinary 11-dehydro thromboxane B2 (p = 0.01) and urinary liver-type fatty acid binding protein (p = 0.03) levels and had lower sequential organ failure assessment score (p = 0.002), and intubation rate (p = 0.03), fewer hospitalized days (p = 0.13), lower in-hospital mortality (p = 0.12) and lower mortality plus nonfatal thrombotic event occurrences (p = 0.10). Patients on metformin had similar clinical outcomes compared to patients without DM. In a multiple regression analysis, metformin use was associated with less days in hospital and lower intubation rate. In conclusion, metformin treatment in COVID-19 patients with DM was associated with lower markers of inflammation, renal ischemia, and thrombosis, and fewer hospitalized days and intubation requirement. Further focused studies are required to support these findings.

Serial assessment of thrombogenicity and hemodynamics in patients with type II diabetes in a clinical research unit: Evidence for circadian variations in clot formation.

BACKGROUND: Circadian fluctuations in thrombogenicity and hemostasis play a role in acute cardiovascular thrombotic events occurring in the early morning hours. There is a lack of data assessing thrombogenicity, platelet function, and hemodynamics to investigate diurnal variations in a high cardiovascular risk population. METHODS: This was an exploratory, single-center study conducted in aspirin-treated patients with Type II Diabetes Mellitus (T2DM) (n = 37) with documented vascular disease and/or multiple cardiovascular risk factors. Hemodynamic monitoring and blood sample collection for thromboelastography (TEG) and platelet function testing were done serially at 7-9 AM (morning), 7-9 PM (evening), 11 PM-1 AM (night), and at 5-7 AM (awakening). RESULTS: R-value measured by TEG was shorter during awakening hours than during the night and day hours (p < 0.05). There were no changes in platelet reactivity in response to arachidonic acid, adenosine diphosphate, and collagen between time points. Pulse pressure (PP) was highest during awakening hours (p < 0.05). CONCLUSION: Study findings provide a mechanistic explanation for increased thrombotic events observed in the early waking hours among diabetics with multiple cardiovascular risk factors. The role of chronotherapy in reducing coagulability and PP to improve clinical outcomes should be explored.

Analysis of responses of the health care workers recovered from COVID-19 on convalescent plasma donation by apheresis: A single-center survey study.

BACKGROUND: The COVID-19 convalescent plasma (CCP) has been tried as a therapy in moderate COVID-19 pneumonia. Donation of CCP requires motivation from recovered patients. This study evaluated the response of such recovered health care workers (HCWs) when they were motivated for CCP donation. METHODS: An interview-based survey was carried out with recovered HCWs as study participants between August 2020 and November 2020. A qualified social worker explained the details of CCP donation over a mobile call; he clarified all their doubts and motivated them for the plasma donation. Their responses were recorded as "interested" or "not interested" followed by analysis. RESULTS: We tried to call 624 recovered HCWs, but could not reach 213, and the final group available for the study was 411 participants. Of these 411, 186 were deferred. Finally, we analyzed a total of 225 responses. Eventually, 105 out of 225 HCWs (47%) were interested; there were no significant differences in responses among males and females and between different age groups (<.001) and the "doctors" designation category (P = .01) had a maximum number of "interested" responses. In multivariate logistic regression, only the "interested" responses of the doctors were significantly higher after adjusting the confounding effect of the "graduate and above" educational qualification category. CONCLUSION: This study found that nearly half of the eligible HCWs were interested in CCP donation. The educational qualification and designation among the recovered HCWs had an impact on CCP donation interest. The doctors were more interested in CCP donation compared to others.

Survey of the Use of Diffusion-Weighted Imaging for Cholesteatoma in the United Kingdom.

BACKGROUND: Non-echoplanar diffusion-weighted MRI (DWMRI) has a role in the surgical planning for cholesteatoma. AIMS/OBJECTIVES: The aim of the study was to assess the use of DWMRI in the management of cholesteatoma across the UK, and measure clinicians' confidence in the use of DWMRI. MATERIALS AND METHODS: Telephone survey in 139 Otolaryngology Departments in the United Kingdom between March 2017 and July 2017, and asking radiology delegates at the British Society of Head and Neck Imaging 2017 meeting. RESULTS: The response rate was 101 out of 139 Trusts (73%). Of those respondents who did have DWMRI available, 68/88 respondents (77%) use it for cholesteatoma. The mean confidence (±standard deviation) of the respondents with DWMRI in identifying cholesteatoma presence was 7.3 ± 2.1, in identifying volume of cholesteatoma was 6.8 ± 1.8, and in identifying subsites of cholesteatoma was 4.6 ± 2.1. CONCLUSIONS AND SIGNIFICANCE: DWMRI has a well-defined role in the follow-up of patients after cholesteatoma surgery, and those primary cases of cholesteatoma where the diagnosis is in question. The use of DWMRI for cholesteatoma is variable across the UK, but there are certain clinical scenarios where there is not enough awareness regarding the benefits of imaging (such as petrous apex cases of cholesteatoma).

Net ecosystem CO2 exchange from jute crop (Corchorus olitorius L.) and its environmental drivers in tropical Indo-Gangetic plain using open-path eddy covariance technique.

Present study is a maiden attempt to assess net ecosystem exchange (NEE) of carbon dioxide (CO2) flux from jute crop (Corchorus olitorius L.) in the Indo-Gangetic plain by using open-path eddy covariance (EC) technique. Diurnal variations of NEE were strongly influenced by growth stages of jute crop. Daytime peak NEE varied from - 5 µmol m-2 s-1 (in germination stage) to - 23 µmol m-2 s-1 (in fibre development stage). The ecosystem was net CO2 source during nighttime with an average NEE value of 5-8 µmol m-2 s-1. Combining both daytime and nighttime CO2 fluxes, jute ecosystem was found to be a net CO2 sink on a daily basis except the initial 9 days from date of sowing. Seasonal and growth stage-wise NEEs were computed, and the seasonal total NEE over the jute season was found to be - 268.5 gC m-2 (i.e. 10.3 t CO2 ha-1). In different jute growth stages, diurnal variations of NEE were strongly correlated (R2 > 0.9) with photosynthetic photon flux density (PPFD). Ecosystem level photosynthetic efficiency parameters were estimated at each growth stage of jute crop using the Michaelis-Menten equation. The maximum values of photosynthetic capacity (Pmax, 63.3 ± 1.15 µmol CO2 m-2 s-1) and apparent quantum yield (α, 0.072 ± 0.0045 µmol CO2 µmol photon-1) were observed during the active vegetative stage, and the fibre development stage, respectively. Results of the present study would significantly contribute to understanding of the carbon flux from the Indian agro-ecosystems, which otherwise are very sparse.

Leafy greens as a potential source of multidrug-resistant diarrhoeagenic Escherichia coli and Salmonella.

A continued rise in leafy green-linked outbreaks of disease caused by pathogenic Escherichia coli or Salmonella, particularly strains exhibiting multidrug resistance (MDR), has emerged as a major threat to human health and food safety worldwide. Thus, the present study was conducted to examine antimicrobial resistance, including MDR, in diarrhoeagenic E. coli (DEC) and Salmonella isolates obtained from leafy greens from rural and urban areas of India. Of the collected samples (830), 14.1 and 6.5% yielded 117 E. coli (40 DEC and 77 non-DEC) and 54 Salmonella isolates, respectively. Among the DEC pathotypes, enteroaggregative E. coli was the most prevalent (10.2 %), followed by enteropathogenic E. coli (9.4 %), enteroinvasive E. coli (7.6 %) and enterohemorrhagic E. coli (6.8 %). Antimicrobial susceptibility testing of all bacterial isolates with respect to drugs categorized as critically or highly important in both human and veterinary medicine revealed moderate to high (30-90%) resistance for amoxicillin/clavulanic acid, ampicillin, gentamycin and colistin, but relatively low resistance (>30 %) for ciprofloxacin, trimethoprim/sulfamethoxazole and fosfomycin. Notably, all DEC and more than 90% non-DEC or Salmonella isolates were found to be multidrug-resistant to drugs of both human and animal importance. Overall, the results of the present study suggest that leafy greens are potential reservoirs or sources of multidrug-resistant DEC and Salmonella strains in the rural or urban areas of India.

Enhancement in optically induced ultrafast THz response of MoSe2MoS2 heterobilayer.

THz conductivity of large area MoS2 and MoSe2 monolayers as well as their vertical heterostructure, MoSe2MoS2 is measured in the 0.3-5 THz frequency range. Compared to the monolayers, the ultrafast THz reflectivity of the MoSe2MoS2 heterobilayer is enhanced many folds when optically excited above the direct band gap energies of the constituting monolayers. The free carriers generated in the heterobilayer evolve with the characteristic times found in each of the two monolayers. Surprisingly, the same enhancement is recorded in the ultrafst THz reflectivity of the heterobilayer when excited below the MoS2 bandgap energy. A mechanism accounting for these observations is proposed.

Efficiency and kinetics of Assam crude oil degradation by Pseudomonas aeruginosa and Bacillus sp.

We report kinetics of Assam crude oil degradation by Pseudomonas aeruginosa AKS1 and Bacillus sp. AKS2, both isolated from Assam refinery sediments. The isolates exhibited appreciable degrees of hydrophobicity, emulsification index and biosurfactant production. Crude oil degradation efficiency of isolates was assessed in (1) liquid medium amended with 1% v/v crude oil and (2) microcosm sediments (125 mg crude oil/ 10 g sand). In liquid culture, biodegradation rate (k) and half-life (t1/2) values were found to be 0.038 day-1 and 18.09 days for P. aeruginosa AKS1, and 0.020 day-1 and 33.97 days in case of Bacillus sp. AKS2, respectively. In microcosm sediments, the estimated k and t 1/2 values were 0.014 day-1 and 50 days for P. aeruginosa AKS1, and 0.011 day-1 and 61.34 days in case of Bacillus sp. AKS2. The level of nutrient treatment in microcosm sand sediment was 125 µg N and 62.5 µg P/g sediment in case of P. aeruginosa AKS1 and 375 µg N and 37.5 µg P/g sediment in case of Bacillus sp. AKS2. In microcosms without inorganic nutrients, values of k and t1/2 were found to be 0.007 day-1 and 100 days for P. aeruginosa AKS1 and for Bacillus sp. AKS2, the respective values were 0.005 day-1 and 150.68 days. Our data provides important information for predictive hydrocarbon degradation in liquid medium and contaminated sediments.

The burden & contributing factors of psychological distress across India during the COVID pandemic.

The unprecedented COVID-19 pandemic spread rapidly and engulfing the entire world, forcing people to stay home, muting the hustle and bustle of modern world with tide of fear for contracting disease and death. This brutal disease has infected millions of people worldwide, many lost their job, world economies have ravaged and many more uncountable consequences. OBJECTIVE: To assess the psychological distress due to COVID-19 outbreak and to determine contributing factors towards psychological distress. METHOD: A cross-sectional survey was conducted between 12th May to 20th June 2020 & 1537 valid responses were received. Modified K10 scale was used to assess psychological distress. Binary logistic regression analysis was used to determine extent of relationship between the contributing factors and psychological distress scale by estimating the odds of having significant stress with P ≤ 0.05. RESULT: A total of 1537 valid responses were obtained. The overall psychological distress score was 19.79 ± .75 which implies mild psychological distress. Analysis of degree of psychological distress revealed 815 (53.0%) with no psychological distress, 385 (25.0%) mild, 194 (12.6%) moderate and 143 respondents (9.3%) had severe degree of psychological distress. Females psychological distress was 1.448 times as compared to male (CI 0.191-10.986). The odds of having significant psychological distress for above 60 years as compared to 16-30 years. Shop owner & business man had more stress in compared to professionals (OR 1.176, CI 0.058-2.362). As compared to married, the psychological distress was 13.203 times higher among divorcee/separated (0.786-221.787) and 3.629 times higher among unmarried (0.376-35.054). CONCLUSION: This study showed 39.2% of the subject had psychological distress which is quite high. So, government and other policy makers have to develop strategy to relieve psychological distress among Indian population.