Information regarding the effects of the novel coronavirus on human reproduction is currently limited. The objective of our work was to assess whether, in women who have passed the disease, there was a variation in the ovarian reserve through the determination of AMH levels. During May-June 2020, women performing an Assisted Reproductive treatment and who had a positive IgG for SARS-CoV-2 were included in the study; this group of women had a previous AMH determination of no more than 6 months. Women were stratified into two groups, according to their previous AMH levels: low responders (AMH<1 ng/ml) or normal-high responders (AMH ≥ 1 ng/ml) Statistical analyses were performed using the Statistical Package for Social Sciences 19.0 (IBM Corporation, Armonk, NY, USA). A total of 46 patients were included in the study; 16 women were diagnosed as having low ovarian reserve (AMH < 1 ng/ml), with an average age of 38.6 years, whereas 30 were classified as having normal ovarian reserve (AMH ≥ 1 ng/ml), with an average age of 34.7 years. Generally, the data show no variation in AMH levels before and after SARS-CoV-2 infection (1.73 ng/ml vs. 1.61 ng/ml, respectively). However, when we analyzed these differences according to the study groups, the results were consistent with the patient's ovarian status. It is possible to conclude that the fact of having passed the disease does not affect the ovarian reserve status but the degree of the variation of AMH levels depending on the patient was a low or high responder.

Originating from China in 2019, the novel Coronavirus Disease 2019 (COVID-19) pandemic had badly affected most of the world causing immense morbidity and mortality. The disease in moderate to severe cases was characterized by intense inflammation leading to ARDS and hypercoagulable states leading to thrombo-embolism and mortality.Aim: This study aimed to explore the association of inflammatory biomarkers with COVID-19 disease severity in our hospital which became a dedicated COVID hospital during the pandemic.

Coronavirus disease (COVID-19) is a viral pneumonia that is found in China and has spread globally. Early diagnosis is important for effective and timely treatment. Thus, many ongoing studies attempt to solve key COVID-19 problems such as workload classification, detection, and differentiation from other pneumonia and healthy lungs using different imaging modalities. Researchers have identified some limitations in the deployment of deep learning methods to detect COVID-19, but there are still unmet challenges to be addressed. The use of binary classifiers or building classifiers based on only a few classes is some of the limitations that most of the existing research on the COVID-19 classification problem suffers from. Additionally, most prior studies have focused on model or ensemble models that depend on a flat single-feature imaging modality without using any clinical information or benefiting from the hierarchical structure of pneumonia, which leads to clinical challenges, and evaluated their systems using a small public dataset. Additionally, reliance on diagnostic processes based on CT as the main imaging modality, ignoring chest X-rays. Radiologists, computer scientists, and physicians all need to come to an understanding of these interdisciplinary issues. This article first highlights the challenges of deep learning deployment for COVID-19 detection using a literature review and document analysis. Second, it provides six key recommendations that could assist future researchers in this field in improving the diagnostic process for COVID-19. However, there is a need for a collective effort from all of them to consider the provided recommendations to effectively solve these issues.

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) appeared in December 2019 in China and has rapidly become a major global health concern. Patients with end-stage renal disease receiving dialysis treatment are very exposed to the SARS-CoV-2 during their frequent visits to healthcare facilities and immune induced by uremia. The aim of our work was to describe the particularity of COVID-19 infection in hemodialysis patients in sub-Saharan Africa and in Ziguinchor, south of Senegal, particularly. To do this, we conducted a monocentric prospective study over a period of 16 months at the Ziguinchor hemodialysis center and compared our results to a study that focuses on the seroprevalence of SARS-CoV-2 in chronic hemodialysis patients. We found a low prevalence of COVID-19 infection while the majority of our patients were in contact with the virus.

This article investigates the viability of SARS-CoV-2 and its dependence on pH levels, specifically focusing on the difference between the pH stability intervals for the coronavirus and human blood. Human blood typically maintains a pH range of around 7.35 to 7.45, while SARS-CoV-2 exhibits stability within the pH range of 6.0 to 6.5. The study aims to elucidate the critical role of hemoglobin in maintaining pH balance and explores its implications for viral susceptibility. The findings emphasize the importance of reinforcing the alkalinity of the medium as a means to weaken the virus. The research contributes to the understanding of pH-dependent mechanisms in viral infections and provides valuable insights for the development of potential therapeutic strategies.

The relevance of this work is due to the insufficient number of modern studies on the treatment of patients with paranoid schizophrenia with non-suicidal autoaggressive actions or in short: “NSAA”, who have had a coronavirus infection. The aim of the study was to study the role of buspirone in the complex therapy of patients with paranoid schizophrenia with NSAA who had a coronavirus infection. Materials and research methods: 99 patients with paranoid schizophrenia meeting ICD-10 criteria were examined by a continuous, non-randomized clinical method. Fisher’s test was used for statistical evaluation. Results: It was established that the consequence of the coronavirus infection was an increase in the proportion of residual organic changes in the form of manifestations of the dysphoric syndrome, specific changes in the cognitive sphere, and the autonomic nervous system. The manifestations of dysphoria included an increase in the frequency of openly manifested aggression, anxiety, impulsivity, and the implementation of NSAA by the type of affective discharge. The structure of acquired cognitive impairments consisted of changes in thinking by the type of thoroughness, and rigidity of perseveration. Changes in the autonomic nervous system are presented in the form of diencephalic crises. Also, psychotic states not characteristic of the previously examined patients were noted, such as twilight stupefaction, delusional symptoms of Cappgras, Fregoli, and tactile hallucinosis. It has been established that the use of buspirone as part of complex therapy with neuroleptics, compared with monotherapy with neuroleptics, increases the effectiveness of therapy in relation to these clinical manifestations in the studied individuals. Conclusion: The use of buspirone in combination with neuroleptic drugs increases the effectiveness of therapy in relation to the leading psychopathological manifestations in patients with paranoid schizophrenia with NSAA who have undergone coronavirus infection.

Background: The COVID-19 pandemic has resulted in significant burdens globally. Healthcare workers (HCWs), at the heart of the unparalleled crisis of COVID-19, face challenges treating patients and doing testing for COVID-19: reducing the spread of infection; developing suitable short-term strategies; and formulating long-term plans. We aimed to assess the psychological impact of COVID-19 on Laboratory health staff. Material and methods: Between February - March 2021, 72 laboratory staff workers of a tertiary care teaching hospital were invited to fill out a questionnaire regarding concerns and worries about the novel coronavirus pandemic, along with a coping scoring system and General health questionnaire level (GHQ-12) survey. Results: Out of 72 laboratory health staff who completed the survey questionnaire, 10 were faculty members, 17 were residents (including senior residents, junior residents, and demonstrators), 39 were lab technicians, followed by 4 were attendants and 2 were data operators. Laboratory staff workers with an age group range from 30 years - 60 years had a higher level of depression symptoms than respondents with 20 years - 29 years of age. Similarly, the symptoms of anxiety were noted to be significantly higher among female respondents and respondents with age >30yrs. The most frequent concern was transmitting the infection to family than to themselves only. A considerable number of laboratory staff workers utilized online psychological resources to deal with their psychological distress.Conclusion: The findings of this survey recognize the various problems faced by laboratory health workers during the period of COVID-19 which affect their working ability. Therefore, in the future, we have to implement such strategies that enhance the performance of laboratory workers, boost their energy level, and encourage them to take care of themselves, in times of such crisis.

The global pandemic COVID-19, caused by SARS-CoV-2, affected millions of people. COVID-19 is known for its respiratory symptoms, but new research reveals it may also affect other organ systems, including the liver. This abstract reviews COVID-19 and liver function. The virus enters host cells through liver-expressed angiotensin-converting enzyme 2 (ACE2) receptors. Thus, viral infection and replication may target the liver. Virus-induced inflammation and cytokine production may also harm the liver. ALT and AST elevations are the most prevalent liver abnormalities in COVID-19 patients. Liver function test abnormalities frequently indicate serious illness and poor clinical outcomes. COVID-19 may worsen pre-existing liver diseases such as NAFLD and chronic viral hepatitis. Drug-induced liver damage (DILI) from COVID-19 therapies including antivirals and corticosteroids complicates liver complications care. Recent investigations have also shown that COVID-19 may cause long-term liver damage. In conclusion, COVID-19 infection, immune-mediated damage, and treatment problems may severely compromise liver function. Optimizing patient treatment and discovering targeted medicines requires understanding COVID-19's liver role. To reduce the effects of COVID-19 on liver function, further study is required to understand the mechanisms and long-term effects.

The intricate interplay between viral infections and cardiovascular complications has garnered significant attention from 2018 to 2023. Extensive research during this period has unveiled substantial connections between various viruses and cardiovascular diseases. Notable examples include Cytomegalovirus (CMV), coxsackievirus, influenza, Human Immunodeficiency Virus (HIV), Epstein-Barr Virus (EBV), Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), as well as coxsackievirus A and B, enteroviruses, adenovirus, and parvovirus B19. These viruses exert diverse influences on cardiovascular health through various pathways, contributing to endothelial dysfunction, inflicting direct damage on cardiac tissue, and triggering inflammatory responses. The intricate interplay between viral infections and cardiovascular health underscores the importance of considering viral pathogens within the framework of cardiovascular disease development, clinical management practices, and future research initiatives. This systematic review comprehensively scrutinizes the cardiovascular impacts stemming from various viral infections, casting a revealing light on their underlying mechanisms and associated clinical implications. These valuable insights can guide clinical management strategies, preventive measures and further investigations into the complex connection between viral infections and cardiovascular diseases, emphasizing the necessity for ongoing research and vigilance in comprehending and managing these pathogen-induced cardiac manifestations.

Mesenchymal Stem Cells (MSCs) have antimicrobial, anti-inflammatory, immunomodulatory, and regenerative potentials. Additionally, utilization of MSCs in the clinical arena has been shown to be safe and well tolerated. Hence, this form of cellular therapy has gained particular attention in the treatment of several infectious disorders and their complications. MSCs have been successfully used in the treatment of the following infections and their complications: bacterial infections including complicated sepsis; viral infections including Human Immunodeficiency Virus (HIV), hepatitis B and C viruses, and Coronavirus disease (COVID-19) complicated by acute respiratory distress syndrome; parasitic infections including schistosomiasis, malaria, and Chagas disease; and mycobacterial infections including tuberculosis. The use of MSCs derived from certain sources and Extracellular Vesicles (ECVs) derived from MSCs has improved their efficacy and reduced their side effects. However, the clinical application of MSCs in the treatment of several infectious diseases still faces real challenges that need to be resolved. The current status of MSCs and the controversies related to their utilization in various infections will be thoroughly discussed in this review. 

Today, it is well known that Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has four types of proteins within its structure, between them the spike protein (S). The infection mechanism is carried out by the entry of the virus into the human host cell through the S protein, which strongly interacts with the human cell receptor angiotensin-converting enzyme 2 (ACE2). In this work, we propose an atomic model of the Receptor Binding Domain (RBD) of the S spike protein of the wild-type SARS-CoV-2 virus. The molecular structure of the model was composed of 50 amino acids that were chemically bonded, starting with Leucine and ending with one amino acid Tyrosine. The novelty of our work lies in the importance of knowing the sites and zones of maximum reactivity of the RBD from the fundamental levels of quantum mechanics considering the atomic structure of matter. For this, the local and global reactivity indices of the RBD were calculated, such as frontier orbitals, Highest Occupied Molecular Orbital (HOMO) and Lowest Unoccupied Molecular Orbital (LUMO), Fukui indices, chemical potential, chemical hardness, electrophilicity index; with this, it will be possible to know what type of molecules are more likely to interact with the RBD structure, and in this way, new knowledge will be generated at the quantum, atomic and molecular level to inhibit the virulent effects of wild-type SARS-CoV-2. Finally, in order to identify the functional groups within the most stable structure and thereby verify the future reactions that can be carried out between the RBD structure and biomolecules, the Infrared (IR) absorption spectrum was calculated. For this work, we used Material Studio v6.0 which uses the density functional theory (DFT) implemented in its DMol3 computational code. The IR spectrum was obtained using the Spartan ‘94 computer code. One novelty would be that we found nine amino acids more that could make the RBD and ACE2 binding further the already known. Thus, the Mulliken charge distribution indicates that the highest concentrations of positive and negative charge are found in the zones 477S, 478T, 484E, and 501N amino acids letting ionic or Van der Waals possible interactions with other structures.