Cholera toxin has a biologically active A subunit and a binding B subunit. Being non-toxigenic, the Cholera toxin B (CTB) subunit has multiple applications in immunology and rapid diagnostics. A recombinant form of CTB (rCTB) is available for commercial use. However, the COVID-19 pandemic led to a severe global shortage in the production and distribution of commercial CTB, which posed a significant problem for researchers worldwide. Due to the non-availability of commercial rCTB post the COVID-19 pandemic, we attempted and successfully produced rCTB in a pET-based expression system in Escherichia coli. To the best of our knowledge, production of rCTB in a pET-based expression system in E. coli is reported for the first time in India. The ctxB gene was amplified from toxigenic Vibrio cholerae and cloned into the pET-24a(+) plasmid and inserted into E. coli DH5α. The plasmid was extracted, and the cloned gene from the pET-24a(+) vector was amplified and Sanger sequenced. The recombinant plasmid was transformed into E. coli BL21(DE3) and induced at different temperatures and concentrations of IPTG. The optimum time, temperature, and IPTG concentration were identified, and the rCTB protein was expressed in large culture and purified using Ni-NTA chromatography and dialysed. The protein was sequenced and confirmed as rCTB using LC-MS. Specific primers designed for the CTB gene amplified a product with the expected size of 341 bp. DNA sequencing confirmed the identity and correct orientation of CTB in the construct and translated using the Expasy translate tool. Optimum conditions for induction were 1mM IPTG, 16℃ for 16 hours. Confirmation of protein was done by liquid chromatography-mass spectrometry. The protein matched with cholera enterotoxin subunit B of V. cholerae serotype O1 (strain ATCC 39315) with a score of 82, and the induced protein was confirmed as rCTB. Multiple independent inductions yielded a total protein of ~1+/- 0.1mg per liter of induced culture. The E. coli pET-24a(+) plasmid-based expression system is a practical and efficient method for producing rCTB.

Purpose: The impact of the COVID-19 pandemic on antimicrobial resistance (AMR) is largely studied in healthcare settings. There is a need to understand the fluctuations in AMR during pandemic at the community level. With urinary tract infection (UTI) being one of the most common infections in the community, the AMR profile of community-acquired UTI (CA-UTI) is considered representative AMR at the community level. Methods: The study was taken in a cohort of patients with a clinical diagnosis of CA-UTI. The four study sites represented different community health centres in India. Escherichia coli isolates were analysed phenotypically and genotypically for AMR pre-COVID (October 2019-February 2020) and in the first (March 2020-February 2021) and second waves of COVID-19 (March 2021-December 2021). Results: E. coli was the predominant uropathogen (229, 82%). Increased susceptibility to nitrofurantoin was observed during the pandemic. Reduced susceptibility to first-line oral antibiotics and carbapenems was seen during the second wave, and an increased minimum inhibitory concentration (MIC50 ) to betalactams and fluoroquinolones was seen during the pandemic. Genomic analysis of E. coli isolates showed some AMR genes ( aacC1, aacC4, SHV, QepA ) only during the second wave. Conclusion: One good outcome of the pandemic was increased susceptibility to nitrofurantoin, while drawback was a significant decrease in susceptibility to oral antibiotics during the second wave and increased MIC50 of some antibiotics. Decreased susceptibility to last-resort carbapenems and the occurrence of various AMR genes during the second wave of the pandemic are of great concern. (c) 2024 The Author(s). Published by Elsevier Ltd on behalf of International Society for Antimicrobial Chemotherapy. This is an open access article under the CC BY-NC-ND license ( http://creativecommons.org/licenses/by-nc-nd/4.0/ )

Urinary tract infection (UTI) in children is a common bacterial infection. The emergence of extended-spectrum beta-lactamases (ESBLs) poses a major challenge against the treatment of uropathogens. We aimed to characterize the E. coli isolates recovered from children with UTI for their resistance profile and circulating sequence types (ST). Children (> 1.5–18 years of age) from different community health centres of India with symptoms of UTI were enrolled. Isolates causing significant bacteriuria were identified by Matrix-Assisted Laser Desorption Ionization Time of Flight Mass Spectrometry (MALDI-TOF MS) and tested for antimicrobial susceptibility by the automated system, VITEK-2 (Biomeriux, Durhum, US). Nineteen E. coli isolates (15 ESBL positive and 4 ESBL negative) were sequenced in Oxford Nanopore platform followed by core-genome phylogeny, accessory genome cluster analysis, identification of sequence types, mobile genetic elements, genetic antimicrobial resistance markers. The correlation between detection of antimicrobial resistance genes with phenotypic resistance profiles was also investigated. Eleven percent of children had significant bacteriuria [male:female—1:1, > 50% were 11–18 years of age group]. E. coli was predominant (86%) followed by K. pneumoniae (11%). Susceptibility of E. coli was highest against fosfomycin (100%) followed by carbapenems (90.7%) and nitrofurantoin (88.8%). ST131 (15.8%) and ST167 (10.5%) found as high-risk clones with the presence of plasmid [IncFIB (63.1%), IncFIA (52.6%)], and composite transposon [Tn2680 (46.6%)] in many isolates. Few isolates coharboured multiple beta-lactamases including blaNDM-5 (33.3%), blaOXA-1 (53.3%), blaCTX-M-15 (60%) and blaTEM-4 (60%). This study highlights horizontal transmission of resistance genes and plasmids in paediatric patients at community centers across the nation harbouring multidrug-resistant genes such as blaNDM-5 and blaCTX-M-15 associated with high-risk clones ST131 and ST167. The data is alarming and emphasizes the need for rapid identification of resistance markers to reduce the spread in community. To our knowledge, this is the first multicentric study targeting paediatric UTI patients from the community setting of India.

Host immune response to COVID-19 plays a significant role in regulating disease severity. Although big data analysis has provided significant insights into the host biology of COVID-19 across the world, very few such studies have been performed in the Indian population. This study utilizes a transcriptome-integrated network analysis approach to compare the immune responses between asymptomatic or mild and moderate-severe COVID-19 patients in an Indian cohort. An immune suppression phenotype is observed in the early stages of moderate-severe COVID-19 manifestation. A number of pathways are identified that play crucial roles in the host control of the disease such as the type I interferon response and classical complement pathway which show different activity levels across the severity spectrum. This study also identifies two transcription factors, IRF7 and ESR1, to be important in regulating the severity of COVID-19. Overall this study provides a deep understanding of the peripheral immune landscape in the COVID-19 severity spectrum in the Indian genetic background and opens up future research avenues to compare immune responses across global populations.

Heterogeneity in susceptibility among individuals to COVID‐19 has been evident through the pandemic worldwide. Cytotoxic T lymphocyte (CTL) responses generated against pathogens in certain individuals are known to impose selection pressure on the pathogen, thus driving emergence of new variants. In this study, we probe the role played by host genetic heterogeneity in terms of HLA‐genotypes in determining differential COVID‐19 severity in patients. We use bioinformatic tools for CTL epitope prediction to identify epitopes under immune pressure. Using HLA‐genotype data of COVID‐19 patients from a local cohort, we observe that the recognition of pressured epitopes from the parent strain Wuhan‐Hu‐1 correlates with COVID‐19 severity. We also identify and rank list HLA‐alleles and epitopes that offer protectivity against severe disease in infected individuals. Finally, we shortlist a set of 6 pressured and protective epitopes that represent regions in the viral proteome that are under high immune pressure across SARS‐CoV‐2 variants. Identification of such epitopes, defined by the distribution of HLA‐genotypes among members of a population, could potentially aid in prediction of indigenous variants of SARS‐CoV‐2 and other pathogens.

Uropathogenic Escherichia coli (UPEC) remains an important cause of urinary tract infection during pregnancy. Multiple molecular virulence determinants and antibiotic resistant genes facilitate its pathogenesis and virulence phenotype. Hence it is hypothesized that there will be considerable variation in genes among the isolates from symptomatic as well as asymptomatic bacteriuria (ABU) during pregnancy. The aim of this study was to decipher the genetic variation among the two phenotypes. Six different UPEC isolates collected from urine specimens of consecutive pregnant females (five, symptomatic bacteriuria and one, ABU) were tested for their growth kinetics, and biofilm formation. A total of 87 virulence determinants and 56 antibiotic resistance genes were investigated using whole-genome sequencing, to identify putative drives of virulence phenotype. In this analysis, we identified eight different types of fully functional toxin antitoxin (TA) systems [HipAB, YefM-YoeB, YeeU-YeeV (CbtA), YhaV-PrlF, ChpBS, HigAB, YgiUT and HicAB] in the isolates from symptomatic bacteriuria; whereas partially functional TA system with mutations were observed in the asymptomatic one. Isolates of both the groups showed equivalent growth characteristics and biofilm-formation ability. Genes for an iron transport system (Efe UOB system, Fhu system except FhuA) were observed functional among all symptomatic and asymptomatic isolates, however functional mutations were observed in the latter group. Gene YidE was observed predominantly associated with the biofilm formation along with few other genes (BssR, BssS, YjgK, etc.). This study outlines putative critical relevance of specific variations in the genes for the TA system, biofilm formation, cell adhesion and colonization among UPEC isolates from symptomatic and asymptomatic bacteriuria among pregnant women. Further functional genomic study in the same cohort is warranted to establish the pathogenic role of these genes.

BackgroundOngoing need of alternative strategies for SARS-CoV-2 detection is undeniable. Self-collected samples without viral transport media (VTM), coupled with simple nucleic acid extraction methods for SARS-CoV-2 PCR are beneficial.ObjectivesTo evaluate results of SARS-CoV-2 PCR using simple nucleic acid extraction methods from self -collected saliva and oral swabs without VTM.MethodsA cross-sectional single-centre study was conducted on 125 participants (101 SARS-CoV-2 positive cases and 24 controls). PCR was performed following five simple nucleic acid extraction methods on self -collect saliva and oral swabs without VTM and results were compared with gold standard PCR. For saliva, kit-based extraction (SKE), Proteinase K and Heat extraction (SPHE), only Heat extraction (SHE) methods and for dry oral swabs, Proteinase K and Heat extraction (DPHE) and only Heat extraction (DHE) was performed.ResultsSARS-CoV-2 was detected in self-collected saliva and oral swabs. 93.07% were correctly classified as positive by SKE, 69.31% by SHE, 67.33% by SPHE, 67.33% by DPHE and 55.45% by DHE. Discriminant power of SKE was significantly higher than other methods (p-value < 0.001) with good- fair agreement of alternate extraction methods against gold standard.ConclusionCombination of self-collected saliva/ oral-swab without VTM and alternative RNA extraction methods offer a simplified, economical substitute strategy for SARS-CoV-2 detection.

Confirmatory diagnosis of bacterial coinfections with COVID-19 is challenging due to the limited specificity of the widely used gold-standard culture sensitivity test despite clinical presentations. A misdiagnosis can either lead to increased health complications or overuse of antibiotics in COVID-19 patients. With a multi-step systems biology pipeline, we have identified a 9-gene biomarker panel from host blood that can identify bacterial coinfection in COVID-19 patients, even in culture-negative cases. We have also formulated a qPCR-based score that diagnoses bacterial coinfection with COVID-19 with the accuracy, specificity, and sensitivity of 0.93, 0.96, and 0.89, respectively. This gene signature and score can assist in the clinical decision-making process of necessary and timely prescription of antibiotics in suspected bacterial coinfection cases with COVID-19 and thereby help to reduce the associated morbidity and mortality.

The rapid identification of bacterial pathogens in clinical samples like blood, urine, pus, and sputum is the need of the hour. Conventional bacterial identification methods like culturing and nucleic acid-based amplification have limitations like poor sensitivity, high cost, slow turnaround time, etc. Raman spectroscopy, a label-free and noninvasive technique, has overcome these drawbacks by providing rapid biochemical signatures from a single bacterium. Raman spectroscopy combined with chemometric methods has been used effectively to identify pathogens. However, a robust approach is needed to utilize Raman features for accurate classification while dealing with complex data sets such as spectra obtained from clinical isolates, showing high sample-to-sample heterogeneity. In this study, we have used Raman spectroscopy-based identification of pathogens from clinical isolates using a deep transfer learning approach at the single-cell level resolution. We have used the data-augmentation method to increase the volume of spectra needed for deep-learning analysis. Our ResNet model could specifically extract the spectral features of eight different pathogenic bacterial species with a 99.99% classification accuracy. The robustness of our model was validated on a set of blinded data sets, a mix of cultured and noncultured bacterial isolates of various origins and types. Our proposed ResNet model efficiently identified the pathogens from the blinded data set with high accuracy, providing a robust and rapid bacterial identification platform for clinical microbiology.

BACKGROUND:An unprecedented rise in the number of COVID-19-associated mucormycosis (CAM) cases has been reported in India. Myriad hypotheses are proposed for the outbreak. We recently reported uncontrolled diabetes and inappropriate steroid therapy as significant risk factors for the outbreak. However, Mucorales contamination of hospital environment was not studied.AIM:To perform a multi-centre study across India to determine possible Mucorales contamination of hospital environment during the outbreak.METHODS:Eleven hospitals from four zones of India representing high to low incidence for mucormycosis cases were included in the study. Samples from a variety of equipment used by the patients and ambient air were collected during May 19th, 2021 through August 25th, 2021.FINDINGS:None of the hospital equipment sampled was contaminated with Mucorales. However, Mucorales were isolated from 11.1% air-conditioning vents and 1.7% of patients' used masks. Other fungi were isolated from 18% of hospital equipment and surfaces, and 8.1% of used masks. Mucorales grew from 21.7% indoor and 53.8% outdoor air samples. Spore counts of Mucorales in air were significantly higher in the hospitals of North and South zones compared to West and East zones (P < 0.0001). Among Mucorales isolated from the environment, Rhizopus spp. were the most frequent genus.CONCLUSION:Contamination of air-conditioning vents and hospital air by Mucorales was found. Presence of Mucorales in these areas demands regular surveillance and improvement of hospital environment, as contamination may contribute to healthcare-associated mucormycosis outbreaks, especially among immunocompromised patients.

The neonatal skin microbiome consists of all the genomes and genetic products of microorganisms harboring on an infant's skin. Host and the microbiota develop a harmonious environment resulting in symbiosis. Any disruption of this environment could lead to pathological disease. This study was conducted to understand the neonatal skin microbiome of very preterm neonates (under 32 weeks) admitted to the Neonatal Intensive Care Unit(NICU) at a tertiary healthcare setting before and after kangaroo mother care (KMC), using next-generation sequencing (NGS). Skin swabs were collected on two different occasions and analyzed using the NGS technique after amplification via polymerase chain reaction. The results showed relative abundance for Mycobacterium tuberculosis in 83.33% and 66.67% (p = 0.29) and Mycobacteroides abscessus in 100% and 93.33% (p = 0.30) of the very preterm neonates on the skin microbiome before and after KMC, respectively as an incidental finding. The mere presence of these bacilli as commensals or as potential pathogens is alarming due to the risk of early exposure and incidence of tuberculosis from birth. These findings, in our view, are the first findings to be established in such a setting.

Introduction:Urinary tract infection (UTI) is one of the most common infections in clinical practice worldwide in both healthcare and community settings causing significant morbidity and mortality. It is one of the major conditions at the community level treated empirically and regarded as a potential cause of emergence of antimicrobial resistance (AMR). Limited information is available regarding community-acquired UTI (CA-UTI) from India.Methodology:This is a first of its kind, multicentric-cross-sectional study at the community level targeting patients attending the out-patient department (OPD) of the community health centre (CHC) from four geographical regions (North, South, West and East) of India. The study had been designed to determine the epidemiology, antibiogram profile and identification of extended-spectrum beta-lactamase (ESBL) producer and carbapenem resistant (CR) uropathogens. Samples were collected prospectively from UTI suspected patients coming at CHC and processed at the tertiary healthcare centres using a common standard operating procedure. Clinical history of all the patients exhibiting significant bacteriuria was collected and data was analysed.Result:Overall, 250 out of a total of 2459 (10.1 %) urine samples were positive for bacteria with significant bacteriuria (adult: paediatrics, 6.7 : 1). Females were predominantly affected (male: female, 1 : 2.9). History of recent episode of UTI was observed as the commonest risk factor followed by diabetes mellitus. Altogether, 86 % of total cases were caused by Escherichia coli (68 %) and Klebsiella pneumoniae (17.6 %) together. Among the commonly used oral antibiotics for the Gram-negative bacilli (GNB), the highest resistance was observed against beta-lactams, first- and second-generation cephalosporins, fluoroquinolones and co-trimoxazole. Overall, the prevalence of ESBL producer and CR isolates were 44.8, and 4.3 %, respectively. However, the ESBL production, CR and nitrofurantoin resistance among the uropathogenic E. coli (UPEC) isolates was 52.8, 5.1 and 14 %, respectively. No resistance was found against fosfomycin among the UPEC isolates.Conclusion:The current study highlights the increasing incidence of AMR among uropathogens at the community-settings of India. A significant percentage of ESBL producers among the isolated UPEC and K. pneumoniae were observed. The currently available evidence supports the clinical recommendation of fosfomycin and nitrofurantoin for empiric therapy in CA-UTI in India.

Background Indiscriminate and widespread use of antibiotics has resulted in emergence of many antibiotic-resistant organisms. Antibiotic administration during pregnancy is mostly avoided, unless there is compelling medical condition. We hypothesized that the uropathogens isolated from pregnant women would be more susceptible to antibiotics compared to those isolated from nonpregnant women, thus will be helpful in formulating separate empiric guideline for pregnant women based on the resistance pattern. Methods This was a prospective cross-sectional study conducted over a period of 2 years in which females with the clinical diagnosis of either cystitis or asymptomatic bacteriuria during pregnancy were included from the community settings. Uropathogen species and their antimicrobial resistance pattern were compared between the pregnant and nonpregnant groups. After accounting for centre-to-centre variation and adjusting for age and socio-economic status, the adjusted odds ratio for antibiotic resistance was calculated and compared between pregnant and nonpregnant women using logistic regression analysis. Results A total of 1758 women (pregnant: 43.3%; nonpregnant: 56.6%) were screened in the study over a period of 2 years, out of which 9.3% (163/1758) were having significant bacteriuria. Escherichia coli and Klebsiella pneumoniae were the two commonest uropathogen in both the groups; their prevalence being 83.6% in pregnant women and 85.2% in nonpregnant women, respectively. Resistance against ampicillin, cefixime, cefoxitin, ceftazidime, ceftriaxone and amoxicillin-clavulanic acid were found significantly lower in the pregnant women compared to nonpregnant. After adjusting the age and socio-economic status accounting for centre-to-centre variation, the odds of resistance for cefixime, amoxicillin-clavulanic acid and co-trimoxazole were found lower and statistically significant among the pregnant women group. Conclusions The antimicrobial resistance was significantly higher among the community-dwelling nonpregnant women compared to pregnant women in case of few antibiotics. The study highlighted the need of building local antibiogram that could help to initiate the empirical treatment and thus prevent emergence of antimicrobial resistance.

Heterogeneity in susceptibility among individuals to COVID-19 has been evident through the pandemic worldwide. Protective cytotoxic T lymphocyte (CTL) responses generated against pathogens in certain individuals are known to impose selection pressure on the pathogen, thus driving emergence of new variants. In this study, we focus on the role played by host genetic heterogeneity in terms of HLA-genotypes in determining differential COVID-19 severity in patients and dictating mechanisms of immune evasion adopted by SARS-CoV-2 due to the imposed immune pressure at global and cohort levels. We use bioinformatic tools for CTL epitope prediction to identify epitopes under immune pressure. Using HLA-genotype data of COVID-19 patients from a local cohort, we observe that asymptomatic individuals recognize a larger number of pressured epitopes which could facilitate emergence of mutations at these epitopic regions to overcome the protectivity they offer to the host. Based on the severity of COVID-19, we also identify HLA-alleles and epitopes that offer higher protectivity against severe disease in infected individuals. Finally, we shortlist a set of pressured and protective epitopes that represent regions in the viral proteome that are under higher immune pressure across SARS-CoV-2 variants due to the protectivity they offer. Identification of such epitopes could potentially aid in prediction of indigenous variants of SARS-CoV-2 and other pathogens, defined by the distribution of HLA-genotypes among members of a population.

Introduction: Scrub typhus is a common but neglected cause of Acute Febrile Illness (AFI) in India. Under diagnosis of this severe disease with protean manifestations, can negatively influence the treatment and outcome. Early laboratory diagnosis by appropriate means is therefore important. In addition, as antigenically diverse variants of Orientia tsutsugamushi (O.tsutsugamushi)are known to exist and evolve, information regarding the strain types is also crucial. Aim: To know the clinical spectrum, laboratory diagnosis by different modalities, outcome and strain variation of scrub typhus in Southern India. Materials and Methods: A prospective cross-sectional study was conducted in a Tertiary Care Hospital in Bengaluru, Southern India from June 2015 to May 2017. Hundred clinically suspected cases of scrub typhus (rickettsioses) were enrolled. Serum and EDTA (Ethylenediaminetetraacetic acid) blood samples were subjected to serodiagnosis for scrub typhus and Polymerase Chain Reaction-Restriction Fragment Length Polymorphism (PCR-RFLP) respectively. Strain characterisation was done by Microimmunofluorescence (MIF), PCR-RFLP and phylogenetic analysis. Patients were followed-up for four weeks. Data was entered in Microsoft Excel spreadsheet and analysed using Statistical Package for the Social Sciences (SPSS) software. Results: Laboratory evidence of scrub typhus was showed by 38% of the cases. Seropositivity was more in comparison to PCR. Paediatric preponderance and seasonal trend was evident. Strain typing showed presence of different strain types, with no correlation between clinical features and strain types. PCR-RFLP results correlated well with phylogeny, while MIF results did not match. All the patients responded to doxycycline, except for 12% who succumbed. Conclusion: Different strain types of O. tsutsugamushi are known to cause scrub typhus in Southern India. PCR-RFLP can be a useful preliminary tool for strain typing in resource poor settings, where phylogenetic analysis is not possible. Early diagnosis and treatment helps in improved outcome.