Can the Therapeutic Spectrum of Probiotics be Extended: Exploring Potential of Gut Microbiome.

Natural therapeutic microorganisms provide a potent alternative healthcare treatment nowadays, with the potential to prevent several human diseases. These health-boosting living organisms, probiotics mostly belong to Gram-positive bacteria such as Lactobacillus, Bifidobacterium, Streptococcus, Saccharomyces, Bacillus and Enterococcus. Initiated almost a century ago, the probiotic application has come a long way. The present review is focused on the potential therapeutic role of probiotics in ameliorating multiple infections, such as upper respiratory tract infections and viral respiratory infections, including Covid-19; liver diseases and hepatic encephalopathy; neurological and psychiatric disorders; autoimmune diseases, particularly rheumatoid arthritis, systemic lupus erythematosus and multiple sclerosis. Apart from these, the therapeutic exacerbations of probiotics in urinary tract infections have been extremely promising, and several approaches are reviewed and presented here. We also present upcoming and new thrust areas where probiotic therapeutic interventions are showing promising results, like faecal microbial transplant and vaginal microbial transplant.

Development of RNA-Based Assay for Rapid Detection of SARS-CoV-2 in Clinical Samples.

INTRODUCTION: The ongoing spread of pandemic coronavirus disease-19 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is of growing concern. Rapid diagnosis and management of SARS-CoV-2 are crucial for controlling the outbreak in the community. Here, we report the development of a first rapid-colorimetric assay capable of detecting SARS-CoV-2 in the human nasopharyngeal RNA sample in less than 30 min. METHOD: We utilized a nanomaterial-based optical sensing platform to detect RNA-dependent RNA polymerase gene of SARS-CoV-2, where the formation of oligo probe-target hybrid led to salt-induced aggregation and change in gold-colloid color from pink to blue visibility range. Accordingly, we found a change in colloid color from pink to blue in assay containing nasopharyngeal RNA sample from the subject with clinically diagnosed COVID-19. The colloid retained pink color when the test includes samples from COVID-19 negative subjects or human papillomavirus-infected women. RESULTS: The results were validated using nasopharyngeal RNA samples from positive COVID-19 subjects (n = 136). Using real-time polymerase chain reaction as gold standard, the assay was found to have 85.29% sensitivity and 94.12% specificity. The optimized method has detection limit as little as 0.5 ng of SARS-CoV-2 RNA. CONCLUSION: We found that the developed assay rapidly detects SARS-CoV-2 RNA in clinical samples in a cost-effective manner and would be useful in pandemic management by facilitating mass screening.

Monocyte HLADR and Immune Dysregulation Index as Biomarkers for COVID-19 Severity and Mortality.

Immune dysregulation in COVID-19 is the major causal factor associated with disease progression and mortality. Role of monocyte HLA-DR (mHLA-DR), neutrophil CD64 (nCD64) and Immune dysregulation index (IDI) were studied in COVID-19 patients for assessing severity and outcome. Results were compared with other laboratory parameters. Antibody bound per cell for mHLA-DR, nCD64 and IDI were measured in 100 COVID-19 patients by flow cytometry within 12 h of hospital admission. Thirty healthy controls (HC) were included. Clinical and laboratory parameters like C - reactive protein (CRP), Procalcitonin (PCT), Absolute Lymphocyte count (ALC), Absolute Neutrophil count (ANC) and Neutrophil to Lymphocyte ratio (NLR) were recorded. Patients were followed up until recovery with discharge or death. Parameters from 54 mild (MCOV-19), 46 severe (SCOV-19) and 30 HC were analysed. mHLA-DR revealed significant and graded down regulation in MCOV-19 and SCOV-19 as compared to HC whereas IDI was lowest in HC with increasing values in MCOV-19 and SCOV-19. For diagnostic discrimination of MCOV-19 and SCOV-19, IDI revealed highest AUC (0.99). All three immune parameters revealed significant difference between survivors (n = 78) and non-survivors (n = 22). mHLA-DR < 7010 and IDI > 12 had significant association with mortality. Four best performing parameters to identify patients with SCOV-19 at higher risk of mortality were IDI, NLR, ALC and PCT. mHLA-DR and IDI, in addition to NLR and ALC at admission and during hospital stay can be utilized for patient triaging, monitoring, early intervention, and mortality prediction. IDI reported for the first time in this study, appears most promising. Immune monitoring of 'in hospital' cases may provide optimized treatment options. Supplementary Information: The online version contains supplementary material available at 10.1007/s12291-022-01087-z.

Dynamic Changes in Circulatory Cytokines and Chemokines Levels in Mild to Severe COVID-19 Patients.

Immune dysregulation is a key feature of the coronavirus disease-2019 (COVID-19). However, disparities in responses across ethnic groups are underappreciated. This study aimed to determine the relationship between chemokines and cytokines and the severity of COVID-19. Multiplex magnetic bead-based Luminex-100 was used to assess chemokine and cytokine levels in COVID-19 patients at admission (day-1) and after 4 days. The mean age of the patients recruited was 54.3 years, with 19 (63.3%) males. COVID-19 patients had significantly lower lymphocyte, monocyte, hemoglobin and eosinophil levels than controls (p < 0.05). COVID-19 patients showed significantly higher neutrophil levels than controls (p < 0.05). The baseline levels of IL-2, IL-6, IL-8, IL-10, and IFN-α/γ significantly increased in COVID-19 patients (p < 0.05). Chemokine levels (IP-10, MCP-1, MIG, and CCL-5) were significantly in COVID-19 patients. IL-8, IP-10, and MIG levels were significantly higher in the patients with severe COVID-19 (p < 0.05). Individuals with mild COVID-19 showed significantly higher levels of INF-α, IL-2, IL-6, and IL-8, whereas IL-10 levels were significantly lower (p < 0.05). TNF-levels decreased significantly in individuals with severe COVID-19, whereas IL-6, IL-8, and MIG levels increased (p < 0.05). After 4 days, INFα-, IL-2, IL-6, IL-8, IP-10, and MIG levels were significantly higher in patients with mild disease, whereas IL-6, MIG, and TNF-αlevels were significantly higher in patients with severe disease (p < 0.05). Thus, we conclude that COVID-19 is characterized by INF-α/γ, IL-6, IL-10, IP-10, MCP-1, MIG, and CCL5 dysregulation. IL-8, MIG, and IP-10 levels distinguish between moderate and severe COVID-19. Changes in INF-α, IL-2, IL-6, IL-8, IP-10, and MIG levels can be used to monitor disease progression. Supplementary Information: The online version contains supplementary material available at 10.1007/s12291-022-01108-x.

"David vs. Goliath": A simple antigen detection test with potential to change diagnostic strategy for SARS-CoV-2.

INTRODUCTION: As regard to all pandemics, the current COVID-19 pandemic, could also have been better managed with prudent use of preventive measures coupled with rapid diagnostic tools such as rapid antigen tests, but their efficacy is under question because of projected lower sensitivity as compared to Real Time Reverse Transcriptase Polymerase Chain Reaction, which although considered gold standard has its own limitations. METHODOLOGY: A prospective, single centre study was carried out to evaluate the performance of Standard Q COVID-19 Ag, a rapid immuno-chromatographic assay for antigen detection, against TrueNat, a chip-based, point-of-care, portable, Real-Time PCR analyzer for diagnosis of COVID-19; on 467 nasal swab samples from suspected subjects at a fever clinic in North India in month of July 2020. RESULTS: Of the 467 specimens tested, TrueNat showed positive result in 29 (6.2%), majority of whom were asymptomatic (72.4%) while 4/29 (13.9%) had influenza like illness and 2/29 (6.8%) presented with severe acute respiratory illness. Compared to TrueNat, Rapid antigen test gave concordance for 26 samples, while for 2 samples the result was false positive; giving an overall sensitivity of 89.7% (95% CI = 72.6- 97.8) and a specificity of 99.5%, indicating strong agreement between two methods. CONCLUSION: Community prevalence plays an important role is choosing the laboratory test and result interpretation. Rapid antigen detection tests definitely have a big role to play, especially in resource limited setting, for early diagnosis as well as for source control to halt the spread.

Recurrent COVID-19 infection in a health care worker: a case report.

BACKGROUND: Recurrent coronavirus disease 2019 (COVID-19) infection is an emerging problem and may prove to be one of the greatest problems in controlling the pandemic in the future. Recurrent infections can be due to reactivation of dormant severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) or reinfection with similar or different strains of SARS-CoV-2. CASE PRESENTATION: Here we present an interesting case of a health care worker working as a laboratory assistant at a COVID-19 laboratory who developed recurrent COVID-19 infection. He did not develop an immune response after the first episode of COVID-19; however, immunoglobulin G (IgG) antibodies were detected after the second episode. CONCLUSIONS: Through this case, we discuss the concept of reactivation and reinfection in the post-COVID period. We suggest that standard guidelines should be established to check for viral shedding and immune response among cured cases of COVID-19 after discharge via serial real-time polymerase chain reaction (RT-PCR) testing and IgG antibody detection. Further, strict hygiene practices should be stressed to these patients with possibility of COVID-19 recurrence.

Evaluation of sample pooling for diagnosis of COVID-19 by real time-PCR: A resource-saving combat strategy.

BACKGROUND AND OBJECTIVES: Although about 80% of coronavirus disease-2019 (COVID-19) cases are reported to be mild, the remaining 20% of cases often result in severe disease with the potential of crushing already overstrained health care services. There has been sustainable growth of COVID-19 cases worldwide since mid-May 2020. To keep tabs on community transmission of COVID-19 infection screening of the samples from a large population is needed which includes asymptomatic/symptomatic individuals along with the migrant population. This requires extra resources, man power, and time for detection of severe acute respiratory syndrome coronavirus 2 by real-time polymerase chain reaction (RT-PCR). In the current scenario, the pooled sample testing strategy advocated by the Indian Council of Medical Research, New Delhi is a new approach that is very promising in resource-limited settings. In this study, we have evaluated the pooled strategy in terms of accurate testing results, utilization of consumables, and identification of borderline positive cases. MATERIALS AND METHODS: Between April and June 2020, we performed COVID-19 testing by RT-PCR from areas with varying prevalence of population referred to COVID laboratory, Dr Ram Manohar Lohia Institute of Medical Sciences, Lucknow. In the first step, the samples are collated into pools of 5 or 10. These pools are tested by RT-PCR. Negative pools were reported as negative whereas positive pools of 5 and 10 are then deconvoluted and each sample is tested individually. RESULTS: In the present study, we tested 4620 samples in 462 pools of 10 and 14 940 samples in 2990 pools of 5. Among 10 samples pool, 61 (13%) pools flagged positive in the first step. In the second step, among 61 pools (610 samples) deconvoluted strategy was followed in which 72 individual samples came positive. The pooled-sample testing strategy helps saves substantial resources and time during surge testing and enhanced pandemic surveillance. This approach requires around 76% to 93% fewer tests done in low to moderate prevalence settings and group sizes up to 5-10 in a population, compared to individual testing. CONCLUSIONS: Pooled-sample PCR analysis strategies can save substantial resources and time for COVID-19 mass testing in comparison with individual testing without compromising the resulting outcome of the test. In particular, the pooled-sample approach can facilitate mass screening in the early coming stages of COVID-19 outbreaks, especially in low- and middle-income settings, and control the spread by meticulous testing of all risk groups.