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We present a challenging clinical case of a 68-year-old female kidney transplant recipient who had a complicated posttransplant course marked by borderline T-cell-mediated rejection and BK virus nephropathy. The treatment for borderline rejection with steroids resulted in overimmunosuppression, and the patient acquired cytomegalovirus infection manifesting as colitis and SARS-CoV-2 infection. This progressed rapidly to collapsing glomerulopathy and allograft failure. This study also highlights the challenges in surveillance with donor-derived cell-free DNA in the setting of allograft injury by multiple viral infections.

Comprehending the morphological disparities between SARS-CoV-2 and SARS-CoV viruses can shed light on the underlying mechanisms of infection and facilitate the development of effective diagnostic tools and treatments. Hence, this study aimed to conduct a comprehensive analysis and comparative assessment of the morphology of SARS-CoV-2 and SARS-CoV using transmission electron microscopy (TEM) images. The dataset encompassed 519 isolated SARS-CoV-2 images obtained from patients in Italy (INMI) and 248 isolated SARS-CoV images from patients in Germany (Frankfurt). In this paper, we employed TEM images to scrutinize morphological features, and the outcomes were contrasted with those of SARS-CoV viruses. The findings reveal disparities in the characteristics of SARS-CoV-2 and SARS-CoV, such as envelope protein (E) 98.6 and 102.2 nm, length of spike protein (S) 10.11 and 9.50 nm, roundness 0.86 and 0.88, circularity 0.78 and 0.76, and area sizes 25145.54 and 38591.35 pixels, respectively. In conclusion, these results will augment the identification of virus subtypes, aid in the study of antiviral medications, and enhance our understanding of disease progression and the virus life cycle. Moreover, these findings have the potential to assist in the development of more accurate epidemiological prediction models for COVID-19, leading to better outbreak management and saving lives., Competing Interests: Declaration of competing interest The authors declare no conflict of interest., (Copyright © 2023 Institut Pasteur. Published by Elsevier Masson SAS. All rights reserved.)

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the cause of the COVID-19 pandemic. Though the virus primarily damages the respiratory and cardiovascular systems after binding to the host angiotensin-converting enzyme 2 (ACE2) receptors, it has the potential to affect all major organ systems, including the human nervous system. There are multiple clinical reports of anosmia, dizziness, headache, nausea, ageusia, encephalitis, demyelination, neuropathy, memory loss, and neurological complications in SARS-CoV-2 infected individuals. Though the molecular mechanism of these brain dysfunctions during SARS-CoV-2 infection is elusive, the mitochondria seem to be an integral part of this pathogenesis. Emerging research findings suggest that the dysfunctional mitochondria and associated altered bioenergetics in the infected host cells lead to altered energy metabolism in the brain of Covid-19 patients. The interactome between viral proteins and mitochondrial proteins during Covid-19 pathogenesis also provides evidence for the involvement of mitochondria in SARS-CoV-2-induced brain dysfunctions. The present review discusses the possible role of mitochondria in disturbing the SARS-CoV-2 mediated brain functions, with the potential to use this information to prevent and treat these impairments.

Constantly mutating SARS-CoV-2 is a global concern resulting in COVID-19 infectious waves from time to time in different regions, challenging present-day diagnostics and therapeutics. Early-stage point-of-care diagnostic (POC) biosensors are a crucial vector for the timely management of morbidity and mortalities caused due to COVID-19. The state-of-the-art SARS-CoV-2 biosensors depend upon developing a single platform for its diverse variants/biomarkers, enabling precise detection and monitoring. Nanophotonic-enabled biosensors have emerged as 'one platform' to diagnose COVID-19, addressing the concern of constant viral mutation. This review assesses the evolution of current and future variants of the SARS-CoV-2 and critically summarizes the current state of biosensor approaches for detecting SARS-CoV-2 variants/biomarkers employing nanophotonic-enabled diagnostics. It discusses the integration of modern-age technologies, including artificial intelligence, machine learning and 5G communication with nanophotonic biosensors for intelligent COVID-19 monitoring and management. It also highlights the challenges and potential opportunities for developing intelligent biosensors for diagnosing future SARS-CoV-2 variants. This review will guide future research and development on nano-enabled intelligent photonic-biosensor strategies for early-stage diagnosing of highly infectious diseases to prevent repeated outbreaks and save associated human mortalities., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 Elsevier B.V. All rights reserved.)

Objective: To assess participant attendance and engagement for an in-person Canadian Ophthalmological Society (COS) annual meeting (2019) compared with a virtual COS annual meeting (2020)., Design: Retrospective case-control study of key event metrics of the 2019 and 2020 COS meetings as well as Twitter activity., Methods: Key annual meeting metrics were collected retrospectively for 2020 virtual meeting and compared with the most recent in-person annual meeting cohort from 2019. Metrics collected included attendance by ophthalmology specialist, geographic distribution of attendees, postevent survey rate, and social media engagement (Twitter)., Results: Overall, there was a 7% (n = 60) increase in the number of registrants between 2019 and 2020. The largest change noted was the increase in registrants from British Columbia (n = 78). More ophthalmologists registered for the 2020 meeting than for 2019 meeting (627 versus 592). Of those who registered for the meeting, meeting participation (defined as checking in for the 2019 and logging in for the 2020 meetings) increased from 70% in 2019 to 79% in 2020. There was a 158% (n = 15 000) increase in tweet impressions in 2020 compared with 2019., Conclusion: The first COS virtual meeting attracted more participants and was available to a geographically wider audience. Indeed, more professionals from provinces that are geographically further from the traditional COS meeting locations were able to participate in the event. Meeting engagement on a social media platform increased in the virtual meeting in 2020 relative to the in-person meeting in 2019, and possible enablers for increased engagement should be sought and incorporated into future meetings., (Copyright © 2021 Canadian Ophthalmological Society. Published by Elsevier Inc. All rights reserved.)

Existing public health emergencies due to fatal/infectious diseases such as coronavirus disease (COVID-19) and monkeypox have raised the paradigm of 5 th generation portable intelligent and multifunctional biosensors embedded on a single chip. The state-of-the-art 5 th generation biosensors are concerned with integrating advanced functional materials with controllable physicochemical attributes and optimal machine processability. In this direction, 2D metal carbides and nitrides (MXenes), owing to their enhanced effective surface area, tunable physicochemical properties, and rich surface functionalities, have shown promising performances in biosensing flatlands. Moreover, their hybridization with diversified nanomaterials caters to their associated challenges for the commercialization of stability due to restacking and oxidation. MXenes and its hybrid biosensors have demonstrated intelligent and lab-on-chip prospects for determining diverse biomarkers/pathogens related to fatal and infectious diseases. Recently, on-site detection has been clubbed with solution-on-chip MXenes by interfacing biosensors with modern-age technologies, including 5G communication, internet-of-medical-things (IoMT), artificial intelligence (AI), and data clouding to progress toward hospital-on-chip (HOC) modules. This review comprehensively summarizes the state-of-the-art MXene fabrication, advancements in physicochemical properties to architect biosensors, and the progress of MXene-based lab-on-chip biosensors toward HOC solutions. Besides, it discusses sustainable aspects, practical challenges and alternative solutions associated with these modules to develop personalized and remote healthcare solutions for every individual in the world., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2022 Elsevier B.V. All rights reserved.)

In the German towns of Marburg, Frankfurt, and Belgrade in 1967, this single negativestranded RNA virus was initially discovered. The importation of infected grivet monkeys from Uganda is what caused this virus-related sickness. As a result of the early link between viruses and non-human primates, this virus is frequently referred to as vervet monkey sickness. This virus causes Marburg hemorrhagic fever in humans and non-human primates. Human endothelial cells serve as the primary vehicle for replication. According to a 2009 report, the virus was being stored in Egyptian fruit bats (Rousettus aegyptiacus). Body fluids, unprotected sex, broken or injured skin, and other bodily fluids are the main routes of transmission. After the incubation period, symptoms like chills, headaches, myalgia, and stomach pain start to show up. There is no specific medication for such an infection, only hydration therapy and adequate oxygenation are followed. The following diagnostic techniques can be used to confirm the diagnosis: (i) an antibody-capture enzyme linked immunosorbent assay (ELISA); ii) an antigen capture ELISA test; iii) a serum neutralization test; iv) an RT PCR assay; v) electron microscopy; or vi) virus isolation by cell culture. Because MARV is a risk group 4 infection, laboratory staff must take strict precautions (RG-4)., (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.)

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has become a "wicked evil" in this century due to its extended progression and huge human mortalities. Although the diagnosis of SARS-CoV-2 viral infection is made simple and practical by employing reverse transcription polymerase chain reaction (RT-PCR) investigation, the process is costly, complex, time-consuming, and requires experts for testing and the constraints of a laboratory. Therefore, these challenges have raised the paradigm of on-site portable biosensors on a single chip, which reduces human resources and enables remote access to minimize the overwhelming burden on the existing global healthcare sector. This article reviews the recent advancements in biosensors for long coronavirus disease (COVID) management using a multitude of devices, such as point-of-care biosensors and lab-on-chip biosensors. Furthermore, it details the shift in the paradigm of SARS-CoV-2-on-chip biosensors from the laboratory to on-site detection with intelligent and economical operation, representing near-future diagnostic technologies for public health emergency management.

Aim: The COVID-19 pandemic adversely affected the essential care of newborns. In a tertiary care hospital in India, all COVID-19 suspect post-natal mothers awaiting COVID results were transferred to a ward shared with symptomatic COVID suspect female patients from other clinical specialities, due to shortage of space and functional health workforce. Babies born to COVID-19 suspect mothers were moved to a separate ward with a caretaker until their mothers tested negative. Due to shortage of beds and delay in receiving COVID results, mothers and babies were often discharged separately 2-3 days apart to their home. This deprived babies of their mother's milk and bonding. We, therefore, undertook a quality improvement (QI) initiative aiming to improve rooming-in of eligible COVID-19 suspect mother-newborn dyads from 0% to more than 90% over a period of 6 weeks., Methods: A QI team was formed which ran multiple Plan-Do-Study-Act cycles. The results were reviewed at regular intervals and interventions were adopted, adapted or abandoned. These included advocacy, rearrangement of wards, counselling of mothers and caretakers regarding infection prevention practices and coordination between labour room, post-natal ward and nursery staff., Results: An improvement in rooming-in from 0% to more than 90% was achieved., Conclusion: QI methodology is a systematic approach in addressing and solving unexpected unforeseen problems effectively., (© 2022 Paediatrics and Child Health Division (The Royal Australasian College of Physicians).)

Amid ongoing devastation due to Serve-Acute-Respiratory-Coronavirus2 (SARS-CoV-2), the global spatial and temporal variation in the pandemic spread has strongly anticipated the requirement of designing area-specific preventive strategies based on geographic and meteorological state-of-affairs. Epidemiological and regression models have strongly projected particulate matter (PM) as leading environmental-risk factor for the COVID-19 outbreak. Understanding the role of secondary environmental-factors like ammonia (NH 3 ) and relative humidity (RH), latency of missing data structuring, monotonous correlation remains obstacles to scheme conclusive outcomes. We mapped hotspots of airborne PM 2.5 , PM 10 , NH 3 , and RH concentrations, and COVID-19 cases and mortalities for January, 2021-July,2021 from combined data of 17 ground-monitoring stations across Delhi. Spearmen and Pearson coefficient correlation show strong association (p-value < 0.001) of COVID-19 cases and mortalities with PM 2.5 (r > 0.60) and PM 10 (r > 0.40), respectively. Interestingly, the COVID-19 spread shows significant dependence on RH (r > 0.5) and NH 3 (r = 0.4), anticipating their potential role in SARS-CoV-2 outbreak. We found systematic lockdown as a successful measure in combatting SARS-CoV-2 outbreak. These outcomes strongly demonstrate regional and temporal differences in COVID-19 severity with environmental-risk factors. The study lays the groundwork for designing and implementing regulatory strategies, and proper urban and transportation planning based on area-specific environmental conditions to control future infectious public health emergencies., (© 2022. The Author(s).)

Telemedicine modalities for patient care have seen significant global uptake during the COVID-19 pandemic. This study aimed to bibliometrically evaluate the evolution and current landscape of telemedicine literature in Canada. The Scopus database was searched to identify telemedicine publications for which the first or last author had a Canadian institutional affiliation. Study selection and data abstraction were conducted by two pairs of independent reviewers. Between 1976 and January 2021, 810 of 3,620 retrieved citations were telemedicine publications originating from Canada, including 29 randomized controlled trials and 6 systematic reviews. The annual publication output increased substantially from 1/year in 1976 to 80/year in 2020. Based on author keyword analysis, the most frequently investigated disciplines or disease entities were primary care, COVID-19, telepsychiatry, heart failure, and mental health. The insights this study provides will aid scientists, policy makers, and other stakeholders in identifying opportunities for future investigation and clinical application.

Objective: To study the impact of the COVID-19 outbreak and subsequent lockdown on the incidence, associated causes, and modifiable factors of stillbirth., Methods: An analytical case-control study was performed comparing stillbirths from March to September 2020 (cases) and March to September 2019 (controls) in a tertiary care center in India. Modifiable factors were observed as level-I, level-II, and level-III delays., Results: A significant difference in the rate of stillbirths was found among cases (37.4/1000) and controls (29.9/1000) (P = 0.045). Abruption in normotensive women was significantly higher in cases compared to controls (P = 0.03). Modifiable factors or preventable causes were noted in 76.1% of cases and 59.6% of controls; the difference was highly significant (P < 0.001, relative risk [RR] 1.8). Level-II delays or delays in reaching the hospital for delivery due to lack of transport were observed in 12.7% of cases compared to none in controls (P < 0.006, RR 47.7). Level-III delays or delays in providing care at the facility were observed in 31.3% of cases and 11.5% of controls (P < 0.001, RR 2.7)., Conclusion: Although there was no difference in causes of stillbirth between cases and controls, level-II and level-III delays were significantly impacted by the pandemic, leading to a higher rate of preventable stillbirths in pregnant women not infected with COVID-19., (© 2020 International Federation of Gynecology and Obstetrics.)

When running a lab we do not think about calamities, since they are rare events for which we cannot plan while we are busy with the day-to-day management and intellectual challenges of a research lab. No lab team can be prepared for something like a pandemic such as COVID-19, which has led to shuttered labs around the globe. But many other types of crises can also arise that labs may have to weather during their lifetime. What can researchers do to make a lab more resilient in the face of such exterior forces? What systems or behaviors could we adjust in 'normal' times that promote lab success, and increase the chances that the lab will stay on its trajectory? We offer 10 rules, based on our current experiences as a lab group adapting to crisis., Competing Interests: The authors have declared that no competing interests exist.