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Hospitals were overburdened during peak periods of Coronavirus disease 2019 (COVID-19) pandemic, and bed occupancy was full. The ability to predict and plan patients' hospital length of stay allows predictability in terms of the free capacity of hospital facilities. The purpose of this article is to evaluate the factors that influence the hospital length of stay among discharged (recovered) from COVID-19 patients. This will allow the prediction of the likely number of bed days in the conditions of intensive workload of medical facilities for hospital care. A total of 441 discharged after hospital treatment for COVID-19 patients are followed up. Factors for prolonged hospital length of stay are searched among the indicators recorded at admission. Median hospital length of stay of the patients discharged from COVID-19 ward is 9 days (IQR 6-12) and in the COVID-19 intensive care unit 12 days (IQR 9.75-18.75). The median length of stay assessed by a survival analysis is 35 days in the COVID-19 unit and only 8 days in intensive care, due to the high mortality in the intensive care unit. The longer hospital length of stay of patients discharged from the COVID-19 wards is associated with the presence of hypertension (median 10 vs. 8 days for patients without the disease, p=0.006), ischemic heart disease (10 vs. 8 days, p<0.001), cerebrovascular disease (10 vs. 8 days, p=0.061 - did not reach significance), peripheral arterial disease (12 vs. 8 days, p=0.024), chronic renal failure or chroniodialysis (14 vs. 8 days, p<0.001), oncological illness (11 vs. 8 days, p=0.024), presence of at least one comorbidity (9 vs. 8 days, p=0.006), arrival at the hospital by ambulance vs. the patient's own transport (11 vs. 8 days, p=0.003), severe lung involvement shown on X-ray (10 vs. 8 days, p=0.030) or CT (18 vs. 10 days, p=0.045). Prolonged hospital length of stay is associated with older age (Spearman's rho=0.185, p<0.001), greater number of comorbidities (Spearman's rho=0.200, p<0.001), lower oxygen saturation on admission (Spearman's rho=- 0.294, p<0.001) and lower lymphocytes count (Spearman's rho=-0.209, p<0.001), as well as higher CRP (Spearman's rho=0.168, p<0.001), LDH (Spearman's rho=0.140, p=0.004), ferritin (Spearman's rho=0.143, p=0.004) and d-dimer (Spearman's rho=0.207, p<0.001). The multiple linear regression model found that the increase in the number of bed days of discharged from COVID-19 unit patients depends on the way the patient arrived at the Emergency Department (by ambulance instead of on their own transportation) and the presence of an accompanying oncological disease (R2=0.628, p<0.001). The hospital length of stay of patients discharged from COVID-19 intensive care unit is associated with the presence of hypertension (median 14 vs. 9 days for patients without the disease, p=0.067 - significance not reached) and at least one comorbidity (14 vs. 9 days, p=0.067 - significance not reached). The number of bed days is higher when recorded more comorbidities (Spearman's rho=0.818, p=0.004), lower oxygen saturation (Spearman's rho=-0.605, p=0.067 - significance not reached) and higher leukocytes count (Spearman's rho=0.546, p=0.102 - significance not reached). A multiple linear regression model demonstrated the hospital length of stay of patients in the COVID-19 intensive care unit as an outcome of the number of comorbidities only (R2=0.826, p=0.003). The ability to estimate and forecast quickly the number of bed-days based on a small number of variables would help reduce the burden on the healthcare system during a pandemic.
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Purpose: Today, coronavirus disease-19 (COVID-19) treatment is an evolving process, and synbiotic administration has been suggested as a new therapeutic strategy. This study aims to investigate the effect of synbiotic supplementation in COVID-19 patients. Design/methodology/approach: In this placebo-controlled trial, 80 patients were randomized to receive oral synbiotic capsule (containing fructooligosaccharide and seven bacterial strains;Lactobacillus (L) casei, L. rhamnosus, Streptococcus thermophilus, Bifidobacterium breve, L. acidophilus, Bifidobacterium longum, L. bulgaricus, each one 109 colony-forming units) or placebo for two months. Inflammatory markers (Interleukin-6 [IL-6], C-reactive protein [CRP], erythrocyte sedimentation rate [ESR]) and white blood cell (WBC) count were evaluated at two timepoints (baseline, two months later). The measured variables were adjusted for confounders and analyzed by SPSS v21.0. Findings: All 80 enrolled patients completed the study. The study adherence was good (approximately 70%). The mean changes for IL-6 were not significant ( = -0.6 +or- 10.4 pg/mL vs = +11.2 +or- 50.3 pg/mL, p > 0.05). There were no significant improvements for CRP, ESR and WBC. Originality/value: Administration of synbiotics for two months did not improve inflammatory markers in COVID-19 patients.
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This special issue contains 8 articles that discuss and highlights the importance of nutrition in mitigating the mental and health-related issues associated with the pandemic, as well as its effects on diet quality and physical activity levels. Topics include: (1) a systematic literature review that emphasizes the role of nutrition in minimizing mental and health-related issues during COVID-19. The review concludes that a healthy diet rich in essential nutrients can play a crucial role in supporting mental health, immune function and overall well-being during the pandemic. In addition, it highlights the need for public health interventions that promote healthy eating habits and provide access to nutritious foods, (2) adherence to the Mediterranean diet in Greek adolescents during COVID-19, (3) a randomized, double-blind, placebo-controlled clinical trial investigated the effect of synbiotics on inflammatory markers and white blood cell count in COVID-19 patients, (4) COVID-19 pandemic anxiety was reflected in nutritional habits in adults, (5) investigation of the link between metabolic risks, dietary patterns and COVID-19 prognosis, (6) exploration of the factors related to sedentary lifestyle in a Brazilian sample during the COVID-19 initial quarantine.
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Coronavirus disease 2019 (COVID-19) can be life threating if untreated. Early diagnosis and effective nutritional management can save life. To assess the nutritional status and predict possible outcomes of critical patients Sequential Organ Failure Assessment (SOFA), nutrition risk in critically ill patients (NUTRIC), and acute physiology and chronic health evaluation (APACHE) score has been used. This retrospective observational study was conducted on confirmed COVID-19 cases in Intensive Care Unit (ICU) of Shifa hospital between November 24, 2020 to May 31, 2021. The demographic, clinical and laboratory information was obtained from hospital records. Risk factors for COVID-19 were identified and compared using multivariate logistic regression analysis. The nutritional risk for each patient was assessed. In this study 162 COVID-19 patients with median age of 64 years (IQR: 56-74) were included. Hypertension (59.2%) was found to be the most common comorbidity and the most prevalent symptoms upon admission were fever (54.9%). The patients in critical condition were supplied nutrients through nasogastric route (61.7%) while 37.7% and 0.6% were assisted through oral and total parenteral nutrition (TPN) route. The Glasgow comma score was found to be mild (72.2%) (GCS>12) with increased creatinine, white blood cell count, C-reactive protein (CRP C), and glycosylated haemoglobin HbA1c level were present. Interestingly based on SOFA, APACHE and NUTRIC score low insignificant malnutrition risk was observed. Our study found different demographic factors and comorbidities have a substantial impact on COVID-19 patients, as evidenced by demographic, laboratory, clinical, and nutritional risk factors.
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Feline Infectious Peritonitis (FIP) is highly mortality disease in cats. The reliable and fast diagnosis is crucial to the best prognosis. The aim of this study to evaluate the hemogram profile in cats infected with effusive FIP. Twenty cats had been diagnosed effusive FIP at Animal Clinic Department of Internal Medicine, Faculty Veterinary Medicine, Universitas Gadjah Mada were used in the study. The diagnosis were based on clinical examination, ultrasound, x-ray, rivalta test, and rapid test. The hemogram profile were analyzed include routine hematology and serum biochemistry. Hemogram profile in effusive FIP showed the decreased hematocrit, hyperproteinemia, and leukocytosis with an average 22.9+or-7.4%;9.0+or-2.2 g/dL;22425+or-4116 cells/mm3 respectively. Erythrocyte, hemoglobin and fibrinogen levels were still in the normal range. The results of differential leukocytes revealed that 90% cats had neutrophilia and 75% lymphopenia with an average 20066+or-3337 cells/mm3 and 1861+or-1818 cells/mm3 respectively. The blood chemistry profile showed 60% of cats experienced increase in SGPT and SGOT with an average 138.4+or-72.3 IU/L and 101+or-60.5 IU/L respectively. Hyperglobulinemia was found in 90% samples with an average 6.7+or-0.8 g/dL. All cats have a low albumin:globulin ratio with an average 0.3+or-0.1. The hemogram profile of effusive FIP were: leukocytosis, neutrophilia, lymphopenia, hyperglobulinemia, and decreased albumin-globulin ratio..
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The practical applications of automatic recognition and categorization technology for next-generation systems are desired in the clinical laboratory. We approached the identification of reactive lymphocytosis using artificial intelligence (AI) technology and studied its clinical usefulness for blood smear screening. This study created one- and two-step AI models for the identification of reactive lymphocytosis. The ResNet-101 model was applied for deep learning. The original image set for supervised AI training consisted of 5765 typical nucleated blood cell images. The subjects for clinical assessment were 25 healthy cases, 25 erythroblast cases, and 25 reactive lymphocytosis cases. The total accuracy (mean ± standard deviation) of the one- and two-step models were 0.971 ± 0.047 and 0.977 ± 0.024 in healthy, 0.938 ± 0.040 and 0.978 ± 0.018 in erythroblast, and 0.856 ± 0.056 and 0.863 ± 0.069 in reactive lymphocytosis cases, respectively. The two-step AI model showed a sensitivity of 0.960 and a specificity of 1.000 between healthy and reactive lymphocytosis cases. As our two-step tandem AI model showed high performance for identifying reactive lymphocytosis in blood smear screening, we plan to apply this method to the development of AI models to differentiate reactive and neoplastic lymphocytosis.
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Objective: In this study, it was aimed to reveal the relationship between the clinical features, presenting symptoms, and prognosis of COVID-19 patients who were hospitalized in our center. Materials and Methods: 499 patients with the diagno-sis of COVID-19 followed in the service and intensive care units of Sakarya University Training and Research Hospital between March 2020 and January 2021 were included in the study. The clinical and demographical data of the patients were obtained from the patient files and hospital automation system. The obtained data were ana-lyzed statistically. Results: Of 499 patients, 171 were followed up in the ward and 328 in the intensive care unit. Follow-up of 230 patients resulted in death, while 269 patients were dis-charged. Comorbid diseases were found to be more fre-quently seen in the mortal group (p< 0.05). Mean leuko-cyte, neutrophil, c-reactive protein (CRP), procalcitonin (PCT), lactate dehydrogenase (LDH), ferritin, d-dimer, and troponin values were higher in the mortal group;whereas mean lymphocyte value was found to be lower (p< 0.05). While fever, cough, and other less common symptoms (diarrhea, nausea, muscle weakness, etc.) were more frequently seen in the non-mortal group (p=0.022, p=0.038, and p=0.000 respectively), shortness of breath was significantly more common in the mortal group (p=0.000). The frequency of symptoms such as sputum, fatigue, sore throat, and the headache were found to be similar in both groups (p >0.05). Conclusion: It was concluded that the clinical course of patients with dyspnea at admission may be more severe and these patients should be followed more closely.
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The most significant single nucleotide human leukocyte antigen genes polymorphisms and innate immunity genes associated with varying degrees of acute respiratory infection severity are considered-COVID-19 caused by the SARS-CoV-2 coronavirus. As data accumulated, it became clear that the SARS-CoV-2 virus exhibits significant regional, ethnic, and individual specificity. This is due to the population groups' genetic characteristics. This is necessary to reliably know the human genotype relationship with the COVID-19 course severity (asymptomatic, mild, moderate, severe, and extremely severe up to fatal outcomes) for more successful therapy and vaccination. At the same time, it was also known that the innate immunity system is on the first line of defense against the pathogenic penetration into the body, and the human leukocyte antigen system encodes molecules of the same name on the surface of cells that present various antigens, including viral infection pathogens, and determine the severity of the course of many diseases;therefore, these systems' genes. This approach makes it possible to assess the likelihood of a severe and extremely severe disease course in healthy and infected people, which in turn contributes to the correct therapy strategy, pharmacotherapy, and vaccination, as well as to create new antiviral therapeutic and preventive medicines. The genetically determined immune response heterogeneity to SARS-CoV-2 infection requires further study, since there is no unambiguous opinion about the leading mechanism that determines disease severity.
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Objective To observe the clinical efficacy and safety of Qingke Pingchuan Granules in treatment of light and common type of novel coronavirus infection(phlegm heat stagnating lung syndrome). Methods Sixty patients with novel coronavirus infection(phlegm heat stagnating lung syndrome) hospitalized in the Novel Coronavirus Unit of Shanghai Public Health Clinical Center from March 2022to June 2022 were selected and divided into control group and treatment group according to different therapeutic drugs, with 30 cases in each group. Patients in the control group were given conventional treatment. Patients in the treatment group were po administered with Qingke Pingchuan Granules on the basis of conventional treatment, 10 g/time, 3 times daily. The efficacy of TCM syndromes, inflammatory indexes and adverse reactions were observed before and after treatment. Results After treatment, the total effective rate in the treatment group(86.7%) was significantly higher than that in the control group(66.7%)(P < 0.05). After treatment, daytime and nighttime cough scores in 2 groups were lower than before treatment(P < 0.05), and daytime and nighttime cough scores in the treatment group were lower than those in the control group(P < 0.05). There was no significant difference in the levels of peripheral blood leukocytes and procalcitonin between the two groups before and after treatment. After treatment, the level of C-reactive protein(CRP) in the two groups was significantly lower than that before treatment(P < 0.05), and the CRP level in the treatment group was lower than that in the control group(P < 0.05). There was no significant difference in the incidence of adverse reactions between the two groups. Conclusion Qingke Pingchuan Granules has good clinical efficacy in treatment of light and common type of novel coronavirus infection(phlegm heat stagnating lung syndrome), and can relieve the clinical symptoms of patients, which has good safety.
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Due to climate change and the COVID-19 pandemic, the number of malaria cases and deaths, caused by the Plasmodium genus, of which P. falciparum is the most common and lethal to humans, increased between 2019 and 2020. Reversing this trend and eliminating malaria worldwide requires improvements in malaria diagnosis, in which artificial intelligence (AI) has recently been demonstrated to have a great potential. One of the main reasons for the use of neural networks (NNs) is the time saving through automatising the process and the elimination of human error. When classifying with two-dimensional images of red blood cells (RBCs), the number of parameters fitted by the NN for the classification of RBCs is extremely high, which strongly influences the performance of the network, especially for training sets of moderate size. The complicated handling of malaria culturing and sample preparation does not only limit the efficiency of NNs due to small training sets, but also because of the uneven distribution of red blood cell (RBC) categories. To boost the performance of microscopy techniques in malaria diagnosis, our approach aims at resolving these drawbacks by reducing the dimension of the input data and by data augmentation, respectively. We assess the performance of our approach on images recorded by light (LM), atomic force (AFM), and fluorescence microscopy (FM). Our tool, the Malaria Stage Classifier, provides a fast, high-accuracy recognition by (1) identifying individual RBCs in multi-cell microscopy images, (2) extracting characteristic one-dimensional cross-sections from individual RBC images. These cross-sections are selected by a simple algorithm to contain key information about the status of the RBCs and are used to (3) classify the malaria blood stages. We demonstrate that our method is applicable to images recorded by various microscopy techniques and available as a software package.â¢Identifying individual RBCs in multi-cell microscopy images.â¢Extracting characteristic one-dimensional cross-sections from individual RBC images. These cross-sections are selected by a simple algorithm to contain key information about the status of the RBCs and are used to.â¢Classify the malaria blood stages. We demonstrate that our method is applicable to images recorded by various microscopy techniques and available as a software package.
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The purpose of this experiment was to increase poultry meat production by increasing the number of chickens reared in the same area and managing it by using medicinal herbs Salvia officinalis L and Lavandula angustifolia L. in the broiler chicken diet. 705 one-day-old chicks were randomly distributed into to7 treatments with three replicates for an area of two m2 floor system in each replicate for each treatment, during 35 days of the study. T0 negative control 75 chicks, 25 chicks for each replicate 12-13 chicks per m2 fed standard diet. T1 positive control (stocking density without supplementation)105 chicks, 35 each replicate chicks 17-18 per m2 fed standard diet. The same stocking density for T2, T3, T4, T5, and T6 have been given standard feed with supplemented herbals, salvia 0.7%, 0.9%, lavender0.7%, 0.9%, and mixed 0.7% respectively. Depending on the results, chickens reared in stress stocking density with supplementations led to higher improvement of body weight, meat production, body weight gain (BWG), feed conversion ratio(FCR g feed/g weight), production index PI, carcass weight (g) and dressing percentage, RBCs 106cells/mm3, lymphocyte%, of increasing activity of thyroid hormones T3, T4 (nmol/L) boost antibody titers of ND and IBV when compared with positive control. However, heterophil%, stress indicator H/L ratio, glucose mg/ dL and cholesterol mg/ dL significantly reduced. The results showed that adding sage and lavender plants to broiler feed is effective in improving productivity, immunity, and resistance characteristics in reducing the adverse effects of stress caused by increasing the intensity of broiler rearing in the same area.
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Objective: To explore the application value of blood cell subtype ratio [neutrophil/lymphocyte ratio (NLR) platelet/lymphocyte ratio (PLR)], platelet/neutrophil ratio (PNR) and inflammatory indicators in clinical treatment and prognosis of coronavirus disease 2019 (COVID - 19) patients. Methods The blood routine and inflammatory data were collected from 47 hospitalized COVID- 19 patients and 30 healthy subjects and analyzed retrospectively, and the ratios of NLR, PLR and PNR were calculated. The differences of each index were compared between the two groups, and the variation trend of NLR, PLR and PNR were dynamically monitored during the course of disease. ROC curve was used to evaluate the diagnostic value of blood cell subtype ratio and inflammatory indicators. Results Compared with the control group, white blood cell (WBC) and lymphocyte (LYMPH) were decreased (Z =-3.578, -5.558, all P <0.05), and NLR, PLR, C-reactive protein(CRP), serum amyloid A(SAA) and SAA/CRP were increased in COVID-19 patients group (Z =-4.210, -5.087, -2.434, -5.263, -3.091, all /1/40.05). Trend analysis of NLR, PLR and PNR showed that NLR and PLR increased first and reached the peak, and gradually decreased with the improvement of patients' condition (x2=27.441, 38.699, all PC 0.05). ROC curve analysis results showed that the area under curve (AUC) of SAA, PLR, NLR and CRP were 0.855, 0.845, 0.786 and 0.662, respectively. Conclusions The combination of NLR, PLR, SAA and CRP could reflect systemic inflammatory status of patients, and had good clinical diagnostic value for disease monitoring and prognosis.
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Patients suffering severe COVID-19 show an aggressive and excessive immune response against the SARS-CoV-2 coronavirus, known as a cytokine storm. If left untreated these patients face the risk of tissue damage, multi-organ failure and death. A high relative abundance of Prevotella copri has been reported in patients with newly diagnosed rheumatoid arthritis (RA). On the other hand, it has been observed that Prevotella histicola can modulate the inflammatory manifestations of autoimmune diseases like multiple sclerosis, and it is now being evaluated as a monoclonal microbial treatment in COVID-19. We observed that pre-treatment with P. histicola decreased NF-kB activation, while pre-treatment with P. histicola and P. copri decreased IRF activation in monocytes upon SARS-CoV-2 glycoprotein. Our findings suggest that exposure of blood immune cells, such as monocytes, to commensal species of Prevotella may reduce the inflammatory response to SARS-CoV-2 glycoprotein. Besides treatments targeting the viral infection, other treatments such as immunomodulation by bacteria aiming to reduce or regulate the inflammatory process in COVID-19 to avoid the development of related complications may be considered.
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Objective: To analyze the laboratory indexes of patients infected with malaria patients and COVID-19, so as to provide reliable evidence for the diagnosis of mixed infection of both. Methods The routine clinical laboratory items such as routine blood, biochemistry and lymphocyte subsets were tested in three cases of COVID-19 complicated with falciparum malaria who admitted to Guangzhou Eighth People's Hospital Affiliated to Guangzhou Medical University from July to December 2020 were tested. Laboratory data were stage-wise analyzed in conjunction with changes in the course of disease. Results Three patients confirmed COVID-19 infection recruited all had malaria infection history. Fever, headache, and other symptoms emerged on the 4rd to 11th day after admission. Malaria parasite was detected by malaria parasite antigen testing and blood smear testing, and all three patients had re-ignition of malaria after being confirmed COVID-19 infection. In the early stage of malaria relapse, lymphocytes decreased, CRP and SAA increased, and gradually returned to normal level after antimalarial treatment. Interestingly, we only found one patient at the initial stage of malaria detection showed PLT decreased, no other unnormal changes in other routine blood results (WBC, ESO) and liver function results (ALT, AST, GGT, TBIL, DBIL, CG) were found from the beginning to end course of the disease. Conclusion COVID-19 infection may promote the resurgence of malaria, so the relapse of malaria should be monitored especially for the patient with malaria infection history who begin to develop fever and other symptoms a few days after the diagnosis of COVID-19. The inflammatory indicators would be worth able as an auxiliary judgment basis for the effective treatment of the two combined infection.
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Domestic and wild dogs of all ages and breeds are susceptible to Canine Coronavirus(CCoV) infections and be seen in T..rkiyeand amongst world. CCoV has recently been declared a zoonotic disease agent and the eighth pathogenic human coronavirus. This study was conducted on 143 naturally infected dogs with gastroenteritis which were not vaccinated against CCoV in T..rkiye in 2015-2020. The data of dogs were analyzed seroepidemiologically, clinicopathologically and statistically. CCOV antibodies in serum and CCOV antigens in stool were detected by ELISA and lateral immunochromatography. The rising CCoV IgG antibody titers were detected at all dogs and were as follows;<10 ng/L in 3 (2%), 10-20 ng/L in 18 (13%), 20-30 ng/L in 16 (11%), 30-40 ng/L in 14 (%10), 40-64 ng/L in 11 (8%) and >64 ng/L in 81 (81%) dogs. CCOV and Canine Parvovirus (CPV) antigen were detected together in the stool of the 41 (28.7%) dogs. As a result, it was concluded that the CCOV agent is in circulation among dogs living in T..rkiye. CCOV and CPV can cause co-infections and increased mortality. Although infection can be seen in dogs of all ages, it can be seen more frequently in dogs younger than 1 year of age, and especially in dogs younger than 6 months, and can cause enteritis, low hemoglobin, erythropenia, lymphopenia, leukopenia, thrombocytopenia, and hypoproteinemia.
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Objective: This study determined the correlation between several laboratory variables, chest computed tomography severity score (CTSS), and coronavirus disease-2019 (COVID-19) Reporting and Data System (CO-RADS) in COVID-19 patients. Materials and Methods: Ninety-one patients with COVID-19 infection verified by polymerase chain reaction test, presented to the emergency department with COVID-19 symptoms, and had a thoracic computed tomography (CT) scan at the time of admission were included in this retrospective study. 25-hydroxyvitamin D [25(OH)D] levels, erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), D-dimer, glucose, ferritin, creatinine, alanine aminotransferase, aspartate aminotransferase, phosphorous, and calcium levels recorded and CO-RADS and CTSS data. The correlation of laboratory parameters with radiological findings was analyzed. Results: A positive correlation was found between CTSS and age, ESR, CRP, D-dimer while a negative correlation was found between CTSS and lymphocyte count. Patients with high CTSS levels had higher ESR, CRP, D-dimer, ferritin values and lower lymphocyte count, and lower calcium levels. Patients with typical CO-RADS involvement had higher sedimentation, CRP, glucose, and ferritin levels and lower lymphocyte count. No significant correlation was determined between the 25(OH)D level, CO-RADS, and CTSS. Conclusion: The results of this study highlight that the reduced lymphocyte count, high D-dimer, sedimentation, ferritin, and CRP levels are predictors of severe lung involvement in COVID-19 patients. Hypocalcemia can also be considered a marker of severe lung involvement evaluated by CT in COVID-19 patients. the association between vitamin D deficiency and COVID-19 pneumonia should be investigated in future studies.
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Middle East respiratory syndrome coronavirus (MERS-CoV) is an emerging zoonotic pathogen which causes high mortality rate in humans. Dromedary camels may play a central role in virus transmission to humans. Dipeptidyl peptidase-4 (DPP4), a transmembrane protein located on the cell surface of many epithelial and endothelial tissues was identified as the receptor for MERS-CoV. The current study investigated the possibility that bacterial stimulation of camel blood could affect the expression level of DPP4 on camel leukocyte subpopulation, which in turn may contribute to the higher susceptibility of camels with bacterial infection to MERS-CoV infection. DPP4 expression was evaluated by membrane immunofluorescence and flow cytometry. Stimulation of camel blood with the bacterial species S. aureus or E. coil resulted in the upregulation of DPPV on both monocytes and granulocytes, while S. agalactiae did not significantly modulate DPPV expression on either of the immune cells (p > 0.05). None of the bacterial species could induce a change in DPPV expression on lymphocytes from stimulated blood. Collectively, the present study showed an enhancing effect of bacterial stimulation on DPPV expression on camel monocytes and granulocytes.
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Copper (Cu) is an essential micronutrient for both pathogens and the hosts during viral infection. Cu is involved in the functions of critical immune cells such as T helper cells, B cells, neutrophils natural killer (NK) cells, and macrophages. These blood cells are involved in the killing of infectious microbes, in cell-mediated immunity and the production of specific antibodies against the pathogens. Cu-deficient humans show an exceptional susceptibility to infections due to the decreased number and function of these blood cells. Besides, Cu can kill several infectious viruses such as bronchitis virus, poliovirus, human immunodeficiency virus type 1(HIV-1), other enveloped or nonenveloped, single- or double-stranded DNA and RNA viruses. Moreover, Cu has the potent capacity of contact killing of several viruses, including SARS-CoV-2. Since the current outbreak of the COVID-19 continues to develop, and there is no vaccine or drugs are currently available, the critical option is now to make the immune system competent to fight against the SARS-CoV-2. Based on available data, we hypothesize that enrichment of plasma copper levels will boost both the innate and adaptive immunity in people. Moreover, owing to its potent antiviral activities, Cu may also act as a preventive and therapeutic regime against COVID-19.
Subject(s)
Copper/therapeutic use , Coronavirus Infections/drug therapy , Pneumonia, Viral/drug therapy , Adaptive Immunity , Antiviral Agents/therapeutic use , Betacoronavirus , COVID-19 , Coronavirus Infections/immunology , Humans , Immune System , Immunity, Innate , Pandemics , Pneumonia, Viral/immunology , Reactive Oxygen Species/metabolism , SARS-CoV-2 , Treatment Outcome , COVID-19 Drug TreatmentABSTRACT
There are multiple associations between the different blood groups (ABO and RhD) and the incidence of oxidative stress-related diseases, such as certain carcinomas and COVID-19. Bioactive compounds represent an alternative to its prevention and treatment. Phycobiliproteins (PBP) are bioactive compounds present in the microalga Porphyridium cruentum and, despite its antioxidant activity, their inhibitory effect on hemolysis has not been reported. The aim of this work was to evaluate the erythroprotective potential of phycobiliproteins from P. cruentum in different blood groups. The microalga was cultured in F/2 medium under controlled laboratory conditions. Day 10 of culture was determined as the harvest point. The microalgal biomass was lyophilized and a methanolic (MetOH), Tris HCl (T-HCl), and a physiological solution (PS) ultrasound-assisted extraction were performed. Extract pigments were quantified by spectrophotometry. The antioxidant activity of the extracts was evaluated with the ABTS+â¢, DPPHâ¢, and FRAP methods, finding that the main antioxidant mechanism on the aqueous extracts was HAT (hydrogen atom transfer), while for MetOH it was SET (single electron transfer). The results of the AAPH, hypotonicity, and heat-induced hemolysis revealed a probable relationship between the different antigens (ABO and RhD) with the antihemolytic effect, highlighting the importance of bio-directed drugs.
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Oxidative Stress (OS) is involved in the pathogenesis of COVID-19 and in the mechanisms by which SARS-CoV-2 causes injuries to tissues, leading to cytopathic hypoxia and ultimately multiple organ failure. The measurement of blood glutathione (GSH), H2O2, and catalase activity may help clarify the pathophysiology pathways of this disease. We developed and standardized a sensitive and specific chemiluminescence technique for H2O2 and GSH measurement in plasma and red blood cells of COVID-19 patients admitted to the intensive care unit (ICU). Contrary to what was expected, the plasma concentration of H2O2 was substantially reduced (10-fold) in COVID-19 patients compared to the healthy control group. From the cohort of patients discharged from the hospital and those who were deceased, the former showed a 3.6-fold and the later 16-fold H2O2 reduction compared to the healthy control. There was a 4.4 reduction of H2O2 concentration in the deceased group compared to the discharged group. Interestingly, there was no variation in GSH levels between groups, and reduced catalase activity was found in discharged and deceased patients compared to control. These data represent strong evidence that H2O2 is converted into highly reactive oxygen species (ROS), leading to the worst prognosis and death outcome in COVID-19 patients admitted to ICU. Considering the difference in the levels of H2O2 between the control group and the deceased patients, it is proposed the quantification of plasma H2O2 as a marker of disease progression and the induction of the synthesis of antioxidant enzymes as a strategy to reduce the production of oxidative stress during severe COVID-19.HighlightsH2O2 plasma levels is dramatically reduced in patients who deceased compared to those discharged and to the control group.Plasmatic quantification of H2O2 can be possibly used as a predictor of disease progression.Catalase activity is reduced in COVID-19.GSH levels remain unchanged in COVID-19 compared to the control group.