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Competing Interests: Potential conflicts of interest. Y. C. M. reports payments to their institution from Hologic and receipt of equipment from Hologic, Cepheid, Roche, and ChemBio; and travel reimbursement from Infectious Diseases Institute, Makerere Univ. J. J. and M. R. report funding from the CDC (grant number NU3HCK000001) and J. J. reports funding from the NIH (K23HD100594). All other authors report no potential conflicts. All authors have submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Conflicts that the editors consider relevant to the content of the manuscript have been disclosed.

Background: The progression from Mycobacterium tuberculosis infection to active tuberculosis (TB) disease varies among individuals, and identifying biomarkers to predict progression is crucial for guiding interventions. In this study, we aimed to determine plasma immune biomarker profiles in healthy household contacts of index pulmonary TB (PTB) patients who either progressed to TB or remained as non-progressors., Methods: A cohort of household contacts of adults with PTB was enrolled, consisting of 15 contacts who progressed to TB disease and 15 non-progressors. Plasma samples were collected at baseline, 4 months, and 12 months to identify predictive TB progression markers., Results: Our findings revealed that individuals in the progressor group exhibited significantly decreased levels of IFNγ, IL-2, TNFα, IL1α, IL1β, IL-17A, and IL-1Ra at baseline, months 4 and 12. In contrast, the progressor group displayed significantly elevated levels of IFNα, IFNβ, IL-6, IL-12, GM-CSF, IL-10, IL-33, CCL2, CCL11, CXCL8, CXCL10, CX3CL1, VEGF, Granzyme-B and PDL-1 compared to the non-progressor group at baseline, months 4 and 12. ROC analysis identified IFNγ, GM-CSF, IL-1Ra, CCL2 and CXCL10 as the most promising predictive markers, with an AUC of ≥90. Furthermore, combinatorial analysis demonstrated that GM-CSF, CXCL10 and IL-1Ra, when used in combination, exhibited high accuracy in predicting progression to active TB disease., Conclusions: Our study suggests that a specific set of plasma biomarkers GM-CSF, CXCL10 and IL-1Ra, can effectively identify household contacts at significant risk of developing TB disease. These findings have important implications for early intervention and preventive strategies in TB-endemic regions., (Published by Oxford University Press on behalf of Infectious Diseases Society of America 2024.)

Background: Transmission is contributing to the slow decline of tuberculosis (TB) incidence globally. Drivers of TB transmission in India, the country estimated to carry a quarter of the World's burden, are not well studied. We conducted a genomic epidemiology study to compare epidemiological success, host factors and drug resistance (DR) among the four major Mycobacterium tuberculosis (Mtb) lineages (L1-4) circulating in Pune, India., Methods: We performed whole-genome sequencing (WGS) of Mtb sputum culture-positive isolates from participants in two prospective cohort studies and predicted genotypic susceptibility using a validated random forest model. We used maximum likelihood estimation to build phylogenies. We compared lineage specific phylogenetic and time-scaled metrics to assess epidemiological success., Results: Of the 642 isolates that underwent WGS, 612 met sequence quality criteria. Most isolates belonged to L3 (44.6%). The majority (61.1%) of multidrug-resistant isolates belonged to L2 (P < 0.001). In molecular dating, L2 demonstrated a higher rate and more recent resistance acquisition. We measured higher clustering, and time-scaled haplotypic density (THD) for L4 and L2 compared to L3 and/or L1 suggesting higher epidemiological success. L4 demonstrated higher THD and clustering (OR 5.1 (95% CI 2.3-12.3) in multivariate models controlling for host factors and DR., Conclusion: L2 shows a higher frequency of DR and both L2 and L4 demonstrate evidence of higher epidemiological success than L3 or L1 in the study setting. Our findings highlight the need for contact tracing around TB cases, and heightened surveillance of TB DR in India., (Published by Oxford University Press on behalf of Infectious Diseases Society of America 2024.)

Tuberculosis (TB) is one of the leading causes of death worldwide, and Diabetes Mellitus is one of the major comorbidities (TB/DM) associated with the disease. A total of 103 differentially expressed ncRNAs have been identified in the TB and TB/DM comparisons. A machine learning algorithm was employed to identify the most informative lncRNAs: ADM-DT, LINC02009, LINC02471, SOX2-OT, and GK-AS1. These lncRNAs presented substantial accuracy in classifying TB from HC (AUCs >0.85) and TB/DM from HC (AUCs >0.90) in the other three countries. Genes with significant correlations with the five lncRNAs enriched common pathways in Brazil and India for both TB and TB/DM. This suggests that lncRNAs play an important role in the regulation of genes related to the TB immune response., Competing Interests: The authors declare no competing interests., (© 2023 The Authors.)

Background: Modern response to pandemics, critical for effective public health measures, is shaped by the availability and integration of diverse epidemiological outbreak data. Tracking variants of concern (VOC) is integral to understanding the evolution of SARS-CoV-2 in space and time, both at the local level and global context. This potentially generates actionable information when integrated with epidemiological outbreak data., Methods: A city-wide network of researchers, clinicians, and pathology diagnostic laboratories was formed for genome surveillance of COVID-19 in Pune, India. The genomic landscapes of 10,496 sequenced samples of SARS-CoV-2 driving peaks of infection in Pune between December-2020 to March-2022, were determined. As a modern response to the pandemic, a "band of five" outbreak data analytics approach was used. This integrated the genomic data (Band 1) of the virus through molecular phylogenetics with key outbreak data including sample collection dates and case numbers (Band 2), demographics like age and gender (Band 3-4), and geospatial mapping (Band 5)., Results: The transmission dynamics of VOCs in 10,496 sequenced samples identified B.1.617.2 (Delta) and BA(x) (Omicron formerly known as B.1.1.529) variants as drivers of the second and third peaks of infection in Pune. Spike Protein mutational profiling during pre and post-Omicron VOCs indicated differential rank ordering of high-frequency mutations in specific domains that increased the charge and binding properties of the protein. Time-resolved phylogenetic analysis of Omicron sub-lineages identified a highly divergent BA.1 from Pune in addition to recombinant X lineages, XZ, XQ, and XM., Conclusions: The band of five outbreak data analytics approach, which integrates five different types of data, highlights the importance of a strong surveillance system with high-quality meta-data for understanding the spatiotemporal evolution of the SARS-CoV-2 genome in Pune. These findings have important implications for pandemic preparedness and could be critical tools for understanding and responding to future outbreaks., Competing Interests: Declaration of Competing Interest There is no conflict of interest to declare., (Copyright © 2023. Published by Elsevier Ltd.)

Background: Drug-resistant gram-negative (GN) pathogens are a common cause of neonatal sepsis in low- and middle-income countries. Identifying GN transmission patterns is vital to inform preventive efforts., Methods: We conducted a prospective cohort study, 12 October 2018 to 31 October 2019 to describe the association of maternal and environmental GN colonization with bloodstream infection (BSI) among neonates admitted to a neonatal intensive care unit (NICU) in Western India. We assessed rectal and vaginal colonization in pregnant women presenting for delivery and colonization in neonates and the environment using culture-based methods. We also collected data on BSI for all NICU patients, including neonates born to unenrolled mothers. Organism identification, antibiotic susceptibility testing, and next-generation sequencing (NGS) were performed to compare BSI and related colonization isolates., Results: Among 952 enrolled women who delivered, 257 neonates required NICU admission, and 24 (9.3%) developed BSI. Among mothers of neonates with GN BSI (n = 21), 10 (47.7%) had rectal, 5 (23.8%) had vaginal, and 10 (47.7%) had no colonization with resistant GN organisms. No maternal isolates matched the species and resistance pattern of associated neonatal BSI isolates. Thirty GN BSI were observed among neonates born to unenrolled mothers. Among 37 of 51 BSI with available NGS data, 21 (57%) showed a single nucleotide polymorphism distance of ≤5 to another BSI isolate., Conclusions: Prospective assessment of maternal GN colonization did not demonstrate linkage to neonatal BSI. Organism-relatedness among neonates with BSI suggests nosocomial spread, highlighting the importance of NICU infection prevention and control practices to reduce GN BSI., Competing Interests: Potential conflicts of interest. Y. C. M. reports payments to their institution from the CDC, consulting fees from Abbott STI Ad Board, honoraria payments from DKB Med on COVID, patents with TB polymer diagnostic, and holds a leadership role on the board with the Infectious Diseases Institution. They also report receipt of equipment from Hologic, Cepheid, Roche, ChemBio, Becton Dickinson, and miDiagnostics. A. G. reports funding from NIH, UNITAID, and CDC. They report participation in an advisory council with NIH/NIAID and the governing board with Indo US Science Technology and leadership roles with the IMPAACT Network TB Scientific Committee and the WHO MDR TB Guidelines Committee. J. J. reports funding from the CDC (grant number NU3HCK000001) and (grant number U54CK000617). They also report holding a position on the AAP Section on Neonatal-Pinatal Medicine Global Health Subcommittee and the Society for Healthcare Epidemiology of America Pediatric Leadership Council Steering Committee. M. R. Reports research and travel support from the CDC. V. M. reports funding support from NIH, NIAID, and CDC. A. M. reports research funding from CDC, NIH, AHRQ, and Merck. \ All other authors report no potential conflicts. All authors have submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Conflicts that the editors consider relevant to the content of the manuscript have been disclosed., (© The Author(s) 2023. Published by Oxford University Press on behalf of Infectious Diseases Society of America.)

Background & Objectives: Dengue, chikungunya and malaria are mosquito-borne infections, which have shared endemicity and similar clinical presentation. Simultaneous co-infection with more than one infectious agent complicates the diagnosis and further course of treatment. This study aims to determine the seroprevalence and trend of malaria, dengue and chikungunya from 2014-2020 in a tertiary care hospital of western India., Methods: The present study was retrospective descriptive record-based. Serum samples from clinically suspected dengue and chikungunya were subjected to both IgM antibody capture ELISA kits produced by National Institute of Virology (NIV), Pune, India. They were also subjected to ELISA based NS1Ag testing. In Suspected malaria cases, blood collected in EDTA tubes was subjected for Rapid Malaria antigen testing. Statistical analysis was performed using MS Excel and JMP Software., Results: Seropositivity of malaria was comparatively higher in 2014 (5.53%) and a decreasing trend was observed in subsequent years. Majority of malarial infections were caused by Plasmodium vivax (81.67%). There is drastic increase in seropositivity of chikungunya from 2016 (23.67%) and thereafter as compared to 2014 (6.57%) and 2015 (7.29%) indicating its re-emergence. The dengue seropositivity in 2019 (40.19%) was highest in last seven years. Males were predominantly affected, and most affected age group was 21-30 years. Peak transmission was observed in post-monsoon seasons. Dengue and chikungunya co-infection was observed to be 5.79%., Interpretation & Conclusion: This study emphasizes the importance of surveillance studies to understand the trend of vector-borne diseases for prompt diagnosis, management of patients in hospital setup and for early detection and curtailment of outbreaks and epidemics by public health sectors through appropriate vector control programs., Competing Interests: None

Background: The positive predictive value of tuberculin skin test and current generation interferon gamma release assays are very low leading to high numbers needed to treat. Therefore, it is critical to identify new biomarkers with high predictive accuracy to identify individuals bearing high risk of progression to active tuberculosis (TB)., Methods: We used stored QuantiFERON supernatants from 14 household contacts of index TB patients who developed incident active TB during a 2-year follow-up and 20 age and sex-matched non-progressors. The supernatants were tested for an expanded panel of 45 cytokines, chemokines, and growth factors using the Luminex Multiplex Array kit., Results: We found significant differences in the levels of TB-antigen induced production of several analytes between progressors and non-progressors. Dominance analysis identified 15 key predictive biomarkers based on relative percentage importance. Principal component analysis revealed that these biomarkers could robustly distinguish between the 2 groups. Receiver operating characteristic analysis identified interferon-γ inducible protein (IP)-10, chemokine ligand (CCL)19, interferon (IFN)-γ, interleukin (IL)-1ra, CCL3, and granulocyte-macrophage colony-stimulating factor (GM-CSF) as the most promising predictive markers, with area under the curve (AUC) ≥90. IP-10/CCL19 ratio exhibited maximum sensitivity and specificity (100%) for predicting progression. Through Classification and Regression Tree analysis, a cutoff of 0.24 for IP-10/CCL19 ratio was found to be ideal for predicting short-term risk of progression to TB disease with a positive predictive value of 100 (95% confidence interval [CI] 85.8-100)., Conclusions: The biomarkers identified in this study will pave way for the development of a more accurate test that can identify individuals at high risk for immediate progression to TB disease for targeted intervention., Competing Interests: Potential conflicts of interest . The authors: No reported conflicts of interest. All authors have submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Conflicts that the editors consider relevant to the content of the manuscript have been disclosed., (© The Author(s) 2022. Published by Oxford University Press on behalf of Infectious Diseases Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Diabetes mellitus (DM) increases tuberculosis (TB) severity. We compared blood gene expression in adults with pulmonary TB, with or without diabetes mellitus (DM) from sites in Brazil and India. RNA sequencing (RNAseq) performed at baseline and during TB treatment. Publicly available baseline RNAseq data from South Africa and Romania reported by the TANDEM Consortium were also analyzed. Across the sites, differentially expressed genes varied for each condition (DM, TB, and TBDM) and no pattern classified any one group across all sites. A concise signature of TB disease was identified but this was expressed equally in TB and TBDM. Pathway enrichment analysis failed to distinguish TB from TBDM, although there was a trend for greater neutrophil and innate immune pathway activation in TBDM participants. Pathways associated with insulin resistance, metabolic dysfunction, diabetic complications, and chromosomal instability were positively correlated with glycohemoglobin. The immune response to pulmonary TB as reflected by whole blood gene expression is substantially similar with or without comorbid DM. Gene expression pathways associated with the microvascular and macrovascular complications of DM are upregulated during TB, supporting a syndemic interaction between these coprevalent diseases., (© 2023. The Author(s).)

The present cross-sectional study aims to understand the fungal community composition of the nasopharyngeal region of SARS-CoV-2 infected individuals and how the infection influences the mycobiome therein. The infection significantly (p < 0.05) influenced the alpha diversity. Interestingly, a higher abundance of Cladosporium and Alternaria was noted in the infected individuals and inter-individual variation in mycobiome composition was well supported by beta dispersion analysis (p < 0.05). Moreover, decrease in Aspergillus abundance was observed in infected patients across the four age groups. This study provides insight into the alteration in mycobiome during the viral disease progression and demands continuous investigation to monitor fungal infections., Competing Interests: Declaration of competing interest Authors declare no competing interest., (Copyright © 2022 Institut Pasteur. Published by Elsevier Masson SAS. All rights reserved.)

Context: Viral hepatitis caused 1.34 million deaths in 2015, a number comparable to the deaths caused by tuberculosis and higher than that caused by human immunodeficiency virus (HIV). Hepatitis A virus (HAV) and hepatitis E virus (HEV) are important causes of acute viral hepatitis (AVH) and acute liver failure (ALF). Due to the paucity of data, the exact burden of the disease in western India is not established., Objective: Considering this background, the present study aims to determine the prevalence, epidemiology, and biochemical correlation in AVH due to HAV and HEV., Setting and Design: It was a retrospective observational study conducted over 3 years from January 2018 to December 2020 in a tertiary care hospital of Western India., Material and Methods: The study population included 1,807 patients (outdoor and hospitalized) having clinical features of AVH. All serum samples from these patients were tested in duplicate for immunoglobulin M (IgM) anti-HAV and IgM anti-HEV antibodies using commercially available enzyme-linked immunosorbent assay (ELISA) kits. The liver function tests (LFTs) were also monitored., Results: Of the 1,807 specimens processed from the patients with AVH, 120 (6.70%) were positive for IgM anti-HAV antibodies and 154 (8.5%) were positive for IgM HEV antibodies. A total of 11 patients (0.60%) were positive for both anti-HAV IgM and anti-HEV IgM antibodies indicating HAV-HEV coinfection. Our study shows that the HAV infection was more prevalent in the pediatric age group. The HEV infection was seen in all age groups and more prevalent in the age group of 20-30 years. The infection was more prevalent from June to October, that is, during monsoon and post-monsoon seasons. Total serum bilirubin, serum glutamic oxaloacetic transaminase (SGOT), serum glutamic pyruvic transaminase (SGPT), and alkaline phosphatase (ALP) were elevated at 85.84, 86.79, 91.5, and 83.96%, respectively, in HAV-infected and elevated at 78.12, 93.75, 67.18, and 57.03%, respectively, in HEV-infected patients. The patients with HAV-HEV coinfection had all deranged LFTs indicating more severe disease., Conclusion: The present study emphasizes the importance of screening all hepatitis viral markers (A, B, C, E) for early diagnosis and curtailment of outbreaks and epidemics by the public health sector reducing morbidity and mortality., Competing Interests: There are no conflicts of interest., (Copyright: © 2022 Journal of Family Medicine and Primary Care.)

Background The Omicron variant of SARS-CoV-2 infection was seen to be more infectious but less severe in children than adults with reduced hospitalization rates. There is a paucity of data on hospitalized children with confirmed Omicron variant. Objective We describe demographic, epidemiologic, clinical, radiological, laboratory features and outcomes of children with confirmed Omicron variant of SARS-CoV-2 infection admitted to a tertiary care teaching hospital in Pune, India. Methodology Children who tested positive for SARS-CoV-2 - Omicron variant and were admitted between 1st December 2021 and 28th February 2022 were included in the study. Results Out of a total of 37 Covid-positive children admitted during the study period, 16 underwent genome sequencing of which 14 were confirmed to be Omicron variant and two were Delta variant. The age range was one month to 12 years and seven (50%) were male. Common presenting features were fever (n=13, 93%), cough (n=7, 50%), seizures (n=7, 50%) and coryza (n=5, 36%). Comorbidities noted were epilepsy (n=3, 21%) and one each with Thalassemia Major, suspected inborn error of metabolism (IEM), operated anorectal malformation with hypospadias, chronic suppurative otitis media with complications (mastoiditis and facial nerve palsy), neonatal cholestasis and intracranial bleed with dural venous sinus thrombosis. Malnutrition was noted in 42%, pallor in 10 cases (71%). Severe anaemia (n=10, 71%), elevated ferritin (n=6, 43%), positive C-Reactive Protein (n=4, 28%) and deranged D-dimer (n=11, 78%) were noted. The Neutrophil to Lymphocyte ratio (NLR) was >3.3 in five (36%) children. Four (28%) had evidence of pneumonia on the chest radiograph. Oxygen therapy was needed in nine (64%) while two children (14%) required mechanical ventilation. There were two deaths (14%) in children with multiorgan dysfunction and refractory shock. Intravenous immunoglobulin and methylprednisolone were administered to one patient respectively (14%). The median hospital stay was 10 days (Interquartile range = 8). Conclusion Hospitalized children with Omicron variant of SARS-CoV-2 who have underlying comorbidities may have severe presentations needing ICU care. Mortality rates are low with appropriate ICU care., Competing Interests: The authors have declared that no competing interests exist., (Copyright © 2022, Kinikar et al.)

Background: Biomarkers of unfavourable tuberculosis (TB) treatment outcomes are needed to accelerate new drug and regimen development. Whether plasma cytokine levels can predict unfavourable TB treatment outcomes is unclear., Methods: We identified and internally validated the association between 20 a priori selected plasma inflammatory markers and unfavourable treatment outcomes of failure, recurrence and all-cause mortality among adults with drug-sensitive pulmonary TB in India. We externally validated these findings in two independent cohorts of predominantly diabetic and HIV co-infected TB patients in India and South Africa, respectively., Results: Pre-treatment interferon-γ, interleukin (IL)-13 and IL-6 were associated with treatment failure in the discovery analysis. Internal validation confirmed higher pre-treatment IL-6 concentrations among failure cases compared with controls. External validation among predominantly diabetic TB patients found an association between pre-treatment IL-6 concentrations and subsequent recurrence and death. Similarly, external validation among predominantly HIV co-infected TB patients found an association between pre-treatment IL-6 concentrations and subsequent treatment failure and death. In a pooled analysis of 363 TB cases from the Indian and South African validation cohorts, high pre-treatment IL-6 concentrations were associated with higher risk of failure (adjusted OR (aOR) 2.16, 95% CI 1.08-4.33; p=0.02), recurrence (aOR 5.36, 95% CI 2.48-11.57; p<0.001) and death (aOR 4.62, 95% CI 1.95-10.95; p<0.001). Adding baseline IL-6 to a risk prediction model comprised of low body mass index, high smear grade and cavitation improved model performance by 15% (C-statistic 0.66 versus 0.76; p=0.02)., Conclusions: Pre-treatment IL-6 is a biomarker for unfavourable TB treatment outcomes. Future studies should identify optimal IL-6 concentrations for point-of-care risk prediction., Competing Interests: Conflict of interest: A.N. Gupte has nothing to disclose. Conflict of interest: P. Kumar has nothing to disclose. Conflict of interest: M. Araújo-Pereira has nothing to disclose. Conflict of interest: V. Kulkarni has nothing to disclose. Conflict of interest: M. Paradkar has nothing to disclose. Conflict of interest: N. Pradhan has nothing to disclose. Conflict of interest: P. Menon has nothing to disclose. Conflict of interest: C. Padmapriyadarsini reports funding from the Dept of Biotechnology, Government of India, within the scope of the present manuscript. Conflict of interest: L-E. Hanna has nothing to disclose. Conflict of interest: S.V.B. Yogendra Shivakumar has nothing to disclose. Conflict of interest: N. Rockwood has nothing to disclose. Conflict of interest: E. Du Bruyn has nothing to disclose. Conflict of interest: R. Karyakarte has nothing to disclose. Conflict of interest: S. Gaikwad has nothing to disclose. Conflict of interest: R.C. Bollinger reports research support from the NIH and Ujala Foundation, within the scope of the present manuscript. Conflict of interest: J. Golub reports grants to their institution from the NIH, within the scope of the present manuscript. Conflict of interest: N. Gupte reports grants to their institution from the NIH, within the scope of the present manuscript. Conflict of interest: V. Viswanathan has nothing to disclose. Conflict of interest: R.J. Wilkinson has nothing to disclose. Conflict of interest: V. Mave has nothing to disclose. Conflict of interest: S. Babu has nothing to disclose. Conflict of interest: H. Kornfeld has nothing to disclose. Conflict of interest: B.B. Andrade has nothing to disclose. Conflict of interest: A. Gupta reports grants to their institution from the National Institutes of Health within the scope of the present manuscript; grants to their institution from CRDF outside the scope of the present manuscript; and membership of an NIH/NIAID Advisory Council and the Indo-US Science Technology Forum Board., (Copyright ©The authors 2022. For reproduction rights and permissions contact permissions@ersnet.org.)

The novel coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is causing a severe global health emergency owing to its highly infectious nature. Although the symptoms of SARS-CoV-2 are well known but its impact on nasopharyngeal microbiome is poorly studied. The present cross-sectional study was intended to understand the perturbation in the nasopharyngeal microbiome composition within the infected (n = 63) and non-infected (n = 26) individuals using 16S rRNA gene based targeted amplicon sequencing and their association with host types and the prevalence of opportunistic pathogens at the stage of infection. The results confirmed that number of OTUs were significantly (p < 0.05) decreased in the SARS-CoV-2 infected individuals in comparison to non-infected individuals. Pairwise Wilcoxon test showed a significant (p < 0.05) increase in the abundance of Proteobacteria in infected individuals compared to non-infected ones and vice-versa for Fusobacteria and Bacteroidetes. Similarity percentage (SIMPER) analysis showed the increment in the abundance of opportunistic pathogens (Haemophilus, Stenotrophomonas, Acinetobacter, Moraxella, Corynebacterium 1, Gemella, Ralstonia, and Pseudomonas) involved in secondary infection. Furthermore, this study highlighted the microbial community structure of individuals within and across the families. In this study, we also performed the assesment of microbiome associated with host types (age and genders) and COVID-19 conditions (symptomatic and asymptomatic). The data suggested that the host types/conditions during the COVID-19 infection are potential factors in enrichment of specific bacterial communities in upper respiratory tract., Competing Interests: Declaration of competing interest Authors declare no competing interest., (Copyright © 2021 Institut Pasteur. Published by Elsevier Masson SAS. All rights reserved.)

Background: There are few reports of COVID-19 in neonates and most are suspected to be due to postnatal transmission. Vertical transmission has been proven in only a couple of cases so far., Methods: We describe early-onset, severe COVID-19 disease in a neonate with very strong evidence of vertical transmission of SARS-CoV-2., Results: A COVID-19 suspected mother, who tested negative by RT-PCR for COVID, but tested positive for SARS-CoV-2 by serology, delivered a term baby. The neonate was kept in strict isolation. Molecular tests for SARS-CoV-2 on umbilical stump, placenta, and nasopharyngeal aspirate of the neonate, collected at birth were positive. On day 2, the neonate developed clinical features of COVID in the form of fever, poor feeding, and hyperbilirubenemia along with elevated inflammatory markers. Antibiotics were started empirically pending cultures. Blood, CSF, and urine cultures were sterile. Baby tested RT-PCR positive for SARS-CoV-2 on two more occasions before testing positive for antibodies and was discharged on day 21 of life., Conclusion: This report highlights a very strong possibility of vertical transmission of COVID-19 from a mildly symptomatic, RT-PCR negative but antibody-positive mother with significant symptomatic, early-onset neonatal infection.

The identification of individuals with the greatest risk of progression to active tuberculosis (TB) disease from the huge reservoir of Mycobacterium tuberculosis ( Mtb ) infected individuals continues to remain an arduous ascent in the global effort to control TB. In a two-year prospective study, we analysed metabolic profiles in the unstimulated and TB antigen stimulated QuantiFERON supernatants of 14 healthy household contacts (HHCs) who progressed to TB disease (Progressors) and 14 HHCs who remained healthy (Non-Progressors). We identified 21 significantly dysregulated metabolites in the TB antigen-stimulated QuantiFERON supernatants of Progressors, of which the combination of Malic acid and N-Arachidonoylglycine had maximum AUC of 0.99. Eighteen significantly dysregulated metabolites were identified in the unstimulated QuantiFERON supernatants of Progressors, among which the combination of Orotic acid and the phosphatidylcholines PC (O-34:1), PC (O-18:1(9Z)/16:0), PC (O-18:1(11Z)/16:0) had the maximum AUC of 0.98. Most of the dysregulated metabolites belonged to the pathways of fatty acid metabolism, lipid metabolism and nitric oxide metabolism. Validation of these metabolic signatures in large, diverse cohorts would pave way for the development of a robust test that can identify individuals at high risk of TB for targetted intervention of TB disease.

A total of 101 male patients with signs and symptoms suggestive of gonococcal urethritis were studied and 60 showed growth of Neisseria gonorrhoeae on culture. All the isolates were tested for antimicrobial susceptibility. Four strains of Neisseria gonorrhoeae were resistant to penicillin. The resistant strains were tested for production of b-lactamase. The rapid iodometric method for detection of b-lactamase showed that two strains produced b-lactamase.

Seven hundred and eighty three isolates of Staphylococcus aureus isolated from pus (586), blood (78), sputum (25), urine (23), cerebrospinal fluid (23) and various other body fluids (48) were subjected to in-vitro antimicrobial susceptibility testing by modified Kirby-Bauer method. Almost all the isolates were resistant to penicillin (99.62 per cent) and ampicillin (99.62 per cent). Resistance to erythromycin, tetracycline and cotrimoxazole was observed in 88.5, 87.62, and 80.85 per cent isolates respectively. Resistance to gentamicin was 68.32 per cent. Resistance to most of the commonly used antimicrobial agents indicates a need to replace these drugs with other agents and maintenance of surveillance to detect changing patterns of resistance.

A study was undertaken to ascertain the spectrum of causative agents responsible for UTI and to detect the magnitude of anti microbial resistance in aetiological agents. Klebsiella species caused urinary tract infection in maximum number of cases (124, 37.35%) followed by Escherichia coli (114, 34.4%), Pseudomonas aeruginosa 32 (9.64%) and Staphylococcus aureus 23 (6.93%). Other organisms caused urinary tract infection in 39 (11.75%) cases. Resistance to gentamicin was observed in 83% S. aureus, 84.7% Klebsiella species, 78.1% Escherichia coli, 71.9% Pseudomonas aeruginosa and 94.8% of remaining isolates. A large number of isolates (> 90%) were resistant to ampicillin, Cotrimoxazole erythromycin, and chloramphenicol. All the isolates of S.aureus were resistant to penicillin. This observations indicate extremely high degree of resistance in urinary pathogen and warrant change in antibiotic usage as well as formulation of policy for rational use of antibiotics.