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1.
Health Commun ; : 1-9, 2022 Apr 06.
Article in English | MEDLINE | ID: covidwho-1778787

ABSTRACT

News media can influence citizens' health beliefs about COVID-19 and eventually their vaccination intention. However, existing literature has rarely investigated how such effect is contingent upon a country-level factor: press freedom. Situated in the Health Belief Model, this study draws upon a multi-national survey (N = 3,599), involving 10 major cities in Asia to address the research gap. Results showed that news exposure has a positive effect on personal health beliefs on COVID-19, affecting their vaccination intention. More interestingly, the relationship between news exposure and personal health beliefs about COVID-19 was negatively moderated by level of press freedom - that is, the relationship between news exposure and personal health beliefs is stronger in cities that belong to countries with low levels of press freedom.

2.
IEEE Sensors Journal ; 22(7):7231-7239, 2022.
Article in English | ProQuest Central | ID: covidwho-1774677

ABSTRACT

With the further development of online shopping and the impact of the COVID-19 pandemic, the logistics industry has further increased the demand for unmanned, automated warehousing and logistics handling. To realize intelligent warehousing and logistics handling, reliable positioning navigation technology is indispensable. Therefore, this paper designs a Dual-lidar high-precision natural navigation system based on the ROS (Robot Operating System) platform, which can fulfill the basic warehousing and logistics requirements. The natural navigation system uses the Lidar-SLAM method based on graph optimization to construct the 2D environment map, the PF (Particle Filter) algorithm in MRPT (Mobile Robot Programming Toolkit) is used for system positioning, and the real-time correction algorithm is used for motion control. On the built hardware platform, the navigation system completed the fixed-point cruise navigation task, and finally achieved a navigation accuracy of 4 cm and an average repeatable navigation accuracy of 6 mm. The designed navigation system has reference significance for multi-sensor fusion navigation. In reality, it can be applied to the transportation of warehousing and logistics, and it is expected to be mass-produced in the future.

3.
Int J Environ Res Public Health ; 19(5)2022 03 01.
Article in English | MEDLINE | ID: covidwho-1771188

ABSTRACT

Total suspended particles (TSP) were collected in Vladivostok, Russia, which is a typical port city. This study investigated the concentration, potential sources, and long-term variation in particle PAHs and NPAHs in the atmosphere of Vladivostok. The PAH and NPAH concentrations were higher in winter than in summer (PAHs: winter: 18.6 ± 9.80 ng/m3 summer: 0.54 ± 0.21 ng/m3; NPAHs: winter: 143 ± 81.5 pg/m3 summer: 143 ± 81.5 pg/m3). The diagnostic ratios showed that PAHs and NPAHs mainly came from vehicle emissions in both seasons, while heating systems were the main source of air pollution in winter. The TEQ assessment values were 2.90 ng/m3 and 0.06 ng/m3 in winter and summer, respectively, suggesting a significant excess cancer risk in the general population in winter. The ILCR values conveyed a potential carcinogenic risk because the value was between 1 × 10-5 and 1 × 10-7 and ingestion was a main contributor in Vladivostok. However, it is worth noting that the concentrations of PAHs and NPAHs showed an overall downward trend from 1999 to 2020. An important reason for this is the cogenerations project implemented by the Far Eastern Center for Strategic Research on Fuel and Energy Complex Development in 2010. This research clarified the latest variations in PAHs and NPAHs to provide continuous observation data for future chemical reaction or model prediction research.

Subject(s)
Air Pollutants , Polycyclic Aromatic Hydrocarbons , Air Pollutants/analysis , China , Environmental Monitoring , Humans , Particulate Matter/analysis , Polycyclic Aromatic Hydrocarbons/analysis , Risk Assessment , Seasons
4.
Bioinformatics ; 2022 Mar 25.
Article in English | MEDLINE | ID: covidwho-1764501

ABSTRACT

MOTIVATION: Detection and identification of viruses and microorganisms in sequencing data plays an important role in pathogen diagnosis and research. However, existing tools for this problem often suffer from high runtimes and memory consumption. RESULTS: We present RabbitV, a tool for rapid detection of viruses and microorganisms in Illumina sequencing datasets based on fast identification of unique k-mers. It can exploit the power of modern multi-core CPUs by using multi-threading, vectorization, and fast data parsing. Experiments show that RabbitV outperforms fastv by a factor of at least 42.5 and 14.4 in unique k-mer generation (RabbitUniq) and pathogen identification (RabbitV), respectively. Furthermore, RabbitV is able to detect COVID-19 from 40 samples of sequencing data (255GB in FASTQ format) in only 320 seconds. AVAILABILITY: RabbitUniq and RabbitV are available at https://github.com/RabbitBio/RabbitUniq and https://github.com/RabbitBio/RabbitV. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

5.
Frontiers in public health ; 10, 2022.
Article in English | EuropePMC | ID: covidwho-1749552

ABSTRACT

Introduction Modeling on infectious diseases is significant to facilitate public health policymaking. There are two main mathematical methods that can be used for the simulation of the epidemic and prediction of optimal early warning timing: the logistic differential equation (LDE) model and the more complex generalized logistic differential equation (GLDE) model. This study aimed to compare and analyze these two models. Methods We collected data on (coronavirus disease 2019) COVID-19 and four other infectious diseases and classified the data into four categories: different transmission routes, different epidemic intensities, different time scales, and different regions, using R2 to compare and analyze the goodness-of-fit of LDE and GLDE models. Results Both models fitted the epidemic curves well, and all results were statistically significant. The R2 test value of COVID-19 was 0.924 (p < 0.001) fitted by the GLDE model and 0.916 (p < 0.001) fitted by the LDE model. The R2 test value varied between 0.793 and 0.966 fitted by the GLDE model and varied between 0.594 and 0.922 fitted by the LDE model for diseases with different transmission routes. The R2 test values varied between 0.853 and 0.939 fitted by the GLDE model and varied from 0.687 to 0.769 fitted by the LDE model for diseases with different prevalence intensities. The R2 test value varied between 0.706 and 0.917 fitted by the GLDE model and varied between 0.410 and 0.898 fitted by the LDE model for diseases with different time scales. The GLDE model also performed better with nation-level data with the R2 test values between 0.897 and 0.970 vs. 0.731 and 0.953 that fitted by the LDE model. Both models could characterize the patterns of the epidemics well and calculate the acceleration weeks. Conclusion The GLDE model provides more accurate goodness-of-fit to the data than the LDE model. The GLDE model is able to handle asymmetric data by introducing shape parameters that allow it to fit data with various distributions. The LDE model provides an earlier epidemic acceleration week than the GLDE model. We conclude that the GLDE model is more advantageous in asymmetric infectious disease data simulation.

6.
EuropePMC; 2022.
Preprint in English | EuropePMC | ID: ppcovidwho-329918

ABSTRACT

Background: Multi-Agent Simulation is an essential technique for exploring complex systems. In researches of contagious diseases, it is widely exploited to analyze their spread mechanisms, especially for preventing COVID-19. Nowadays, transmission dynamics and interventions of COVID-19 have been elaborately established by this method, but its computation performance is seldomly concerned. As it usually suffers from inadequate CPU utilization and pour data locality, optimizing the performance is challenging. Results: This paper explores approaches to optimize multi-agent simulation for COVID-19 disease. The focus of this work is on the algorithm and data structure designs for improving performance, as well as its parallelisation strategies. We propose two successive methods to optimize the computation. We construct a case-focused iteration algorithm to improve data locality, and create a thread-safe data-mapping paradigm called hierachical hash table to accelerate hash operations. Conclusions: Our performance results demonstrate capabilities of these methods exhibiting significant improvements of system performance. The case-focused method degrades $\sim 90 \%$ cache references and achieves $\times 4.3$ speedup. Hierachical hash table can further boost computation speed by 47\%. And parallel implementation with 20 threads on CPU achieves $\times 81$ speedup consequently.

7.
Wireless Communications & Mobile Computing (Online) ; 2022, 2022.
Article in English | ProQuest Central | ID: covidwho-1731347

ABSTRACT

In recent years, with the development of computer technology and the Internet, image databases have increased day by day, and the classification of image data has become one of the important research issues for obtaining image information. This article aims to study the role of depth algorithms in network art image classification and print propagation extraction. This article proposes a series of methods of image classification, print dissemination, and deep learning algorithms and also conducts corresponding experiments on the role of deep algorithms in image classification. The experimental results show that the neural network model based on the deep algorithm can effectively identify and classify network images, and its recognition accuracy is more than 80%. The image recognition method based on depth algorithm greatly improves the efficiency of image recognition.

8.
Water ; 14(4):634, 2022.
Article in English | ProQuest Central | ID: covidwho-1715845

ABSTRACT

Climate change stressors like rising and warmer seas, increased storms and droughts, and acidifying oceans are rapidly threatening coastal zones, which are the world’s most densely inhabited places. This research assesses the effects of Palm Jumeirah Island (PJI) construction on its surrounding water quality and temperature, using Landsat-7 and 8 spectral and thermal bands for the years 2001, 2014, 2016, 2019, and 2020. To aid in this goal, the changes in water spectral reflectance was observed and interpreted, based on previous research and measurements, to discover the correlation between water quality and its spectral reflectance. Then, the sea surface temperature (SST) was calculated for the years under review and changes in water temperature were evaluated. Finally, the Green Normalized Difference Vegetation Index (GNDVI) and the Normalized Difference Turbidity Index (NDTI) were calculated to estimate water chlorophyll levels and water turbidity, respectively, and changes were observed and interpreted for the time period under review. The present study showed that the PJI construction not only increased the water reflectance in the 0.5–0.8 µm of wavelength, which can be considered to be the increase of suspended sediments and chlorophyll but the water temperature also increased by 7.5 °C during the 19 years. In addition, a gradual increase in the values of GNDVI (by 0.097–0.129) and NDTI (by 0.118~0.172) were observed. A drop in chlorophyll and suspended sediment spectral reflectance and GNDVI and NDTI values were also observed in 2020 compared to 2019 which can be attributed to the 63 to 82% decrease in tourists in Dubai in 2020 as a result of the COVID-19 pandemic. This study aims to draw attention to environmental issues by clarifying the effect of creating artificial islands in the sea and our analysis and results are a suitable reference for specialized hydrological and environmental studies based on spectral information and distance measurements, as presented in this paper.

9.
Water ; 14(4):634, 2022.
Article in English | MDPI | ID: covidwho-1703871

ABSTRACT

Climate change stressors like rising and warmer seas, increased storms and droughts, and acidifying oceans are rapidly threatening coastal zones, which are the world’s most densely inhabited places. This research assesses the effects of Palm Jumeirah Island (PJI) construction on its surrounding water quality and temperature, using Landsat-7 and 8 spectral and thermal bands for the years 2001, 2014, 2016, 2019, and 2020. To aid in this goal, the changes in water spectral reflectance was observed and interpreted, based on previous research and measurements, to discover the correlation between water quality and its spectral reflectance. Then, the sea surface temperature (SST) was calculated for the years under review and changes in water temperature were evaluated. Finally, the Green Normalized Difference Vegetation Index (GNDVI) and the Normalized Difference Turbidity Index (NDTI) were calculated to estimate water chlorophyll levels and water turbidity, respectively, and changes were observed and interpreted for the time period under review. The present study showed that the PJI construction not only increased the water reflectance in the 0.5–0.8 µm of wavelength, which can be considered to be the increase of suspended sediments and chlorophyll but the water temperature also increased by 7.5 °C during the 19 years. In addition, a gradual increase in the values of GNDVI (by 0.097–0.129) and NDTI (by 0.118~0.172) were observed. A drop in chlorophyll and suspended sediment spectral reflectance and GNDVI and NDTI values were also observed in 2020 compared to 2019 which can be attributed to the 63 to 82% decrease in tourists in Dubai in 2020 as a result of the COVID-19 pandemic. This study aims to draw attention to environmental issues by clarifying the effect of creating artificial islands in the sea and our analysis and results are a suitable reference for specialized hydrological and environmental studies based on spectral information and distance measurements, as presented in this paper.

10.
Mol Pain ; 18: 17448069221080305, 2022.
Article in English | MEDLINE | ID: covidwho-1700706

ABSTRACT

Nervous system manifestations caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are of great concern. Neurological symptoms and the neurological effects induced by SARS-CoV-2, such as the loss of various sensory perceptions, indicate direct viral invasion into sensory neurons. Therefore, it is very important to identify the distribution of angiotensin-converting enzyme 2 (ACE2), the receptor of SARS-CoV-2, in human nervous system. However, autofluorescence from lipofuscin obviously impacted immunofluorescence analysis in previous studies. We demonstrated that Sudan Black B (SBB) remarkably reduced the massive lipofuscin-like autofluorescence and the immunofluorescence signal would be sharpened following the exposure compensation. Additionally, we confirmed that ACE2 was expressed in IB4+, CGRP+, and NF200+ sensory subpopulations. The mapping of ACE2 distribution in hDRG would facilitate the understanding of sensory disorder induced by SARS-CoV-2.

Subject(s)
COVID-19 , Peptidyl-Dipeptidase A , Angiotensins , Azo Compounds , Humans , Naphthalenes , Nociceptors , Peptidyl-Dipeptidase A/physiology , SARS-CoV-2
11.
Cell Discov ; 8(1): 17, 2022 Feb 15.
Article in English | MEDLINE | ID: covidwho-1692628

ABSTRACT

The continuous emergence of SARS-CoV-2 variants highlights the need of developing vaccines with broad protection. Here, according to the immune-escape capability and evolutionary convergence, the representative SARS-CoV-2 strains carrying the hotspot mutations were selected. Then, guided by structural and computational analyses, we present a mutation-integrated trimeric form of spike receptor-binding domain (mutI-tri-RBD) as a broadly protective vaccine candidate, which combined heterologous RBDs from different representative strains into a hybrid immunogen and integrated immune-escape hotspots into a single antigen. When compared with a homo-tri-RBD vaccine candidate in the stage of phase II trial, of which all three RBDs are derived from the SARS-CoV-2 prototype strain, mutI-tri-RBD induced significantly higher neutralizing antibody titers against the Delta and Beta variants, and maintained a similar immune response against the prototype strain. Pseudo-virus neutralization assay demonstrated that mutI-tri-RBD also induced broadly strong neutralizing activities against all tested 23 SARS-CoV-2 variants. The in vivo protective capability of mutI-tri-RBD was further validated in hACE2-transgenic mice challenged by the live virus, and the results showed that mutI-tri-RBD provided potent protection not only against the SARS-CoV-2 prototype strain but also against the Delta and Beta variants.

12.
EuropePMC; 2020.
Preprint in English | EuropePMC | ID: ppcovidwho-325035

ABSTRACT

In this study, we ascertained the chest CT data of 60 patients admitted to 3 hospitals in Chongqing with confirmed COVID-19. We conducted anatomical and pathological analyses to elucidate the possible reasons for the distribution, morphology, and characteristics of COVID-19 in chest CT. We also shared a semiquantitative scoring of affected lung segments, which was recommended by our local medical association. This scoring system was applied to quantify the severity of the disease. The most frequent imaging findings of COVID-19 were subpleural ground glass opacities and consolidation;there was a significant difference in semiquantitative scores between the early, progressive, and severe stages of the disease. We conclude that the chest CT findings of COVID-19 showed certain characteristics because of the anatomical features of the human body and pathological changes caused by the virus. Therefore, chest CT is a valuable tool for facilitating the diagnosis of COVID-19 and semiquantitative scoring of affected lung segments may further elucidate diagnosis and assessment of disease severity. This will assist healthcare workers in diagnosing COVID-19 and assessing disease severity, facilitate the selection of appropriate treatment options, which is important for reducing the spread of the virus, saving lives, and controlling the pandemic.

13.
EuropePMC; 2020.
Preprint in English | EuropePMC | ID: ppcovidwho-319508

ABSTRACT

Numerous anecdotal reports suggest that domestic violence has increased globally since the COVID-19 pandemic, but rarely are there cross-country empirical support for this claim. Using two unique datasets which comprises official domestic violence data from Southern China (N = 152 daily data points from January 1st to May 31st, 2020) and Google Trends data across four English-speaking countries (i.e., Australia, Canada, the United Kingdom, and the United States;N = 728 daily data points from January 1st to June 30th, 2020), we test the association between daily confirmed cases of COVID-19 and daily reports of domestic violence. We find that daily new cases are positively associated with domestic violence in Australia, Canada, the United Kingdom, and the United States, but not in China. However, one nuance of our findings in China is that this association is lagged. We speculate that it is because that China is the first to experience the pandemic during which many people were not acutely aware of or affected by COVID-19. These findings suggest that the COVID-19 health toll is beyond its direct costs on its infectees and provide insights into social policies on public health crises. Governments need to balance their COVID-19 responses with corresponding assistance toward women and children who might be at risk of domestic violence in this difficult time.

14.
EuropePMC;
Preprint in English | EuropePMC | ID: ppcovidwho-327593

ABSTRACT

Advanced mRNA vaccines play vital roles against SARS-CoV-2. However, due to the poor stability, most current mRNA delivery platforms need to be stored at -20 °C or -70 °C. Here we present lyophilized thermostable mRNA loaded lipid nanoparticles, which could be stored at room temperature with long-term stability. We demonstrate the applicability of lyophilization techniques to different mRNA sequences and lipid components. Three lyophilized vaccines targeting wild-type, Delta and Omicron SARS-CoV-2 variant were prepared and demonstrated to be able induce high-level of IgG titer and neutralization response. In the Delta challenge in vivo experiment, the lyophilized mRNA vaccine successfully protected the mice from infection and clear the virus. This lyophilization platform could significantly improve the accessibility of mRNA vaccine or therapeutics, particularly in remote regions.

15.
EuropePMC; 2020.
Preprint in English | EuropePMC | ID: ppcovidwho-325100

ABSTRACT

Background: Although COVID-19 pneumonia is spreading internationally, knowledge regarding the factors associated with the illness severity of patients remains limited. We aimed to identify the factors associated with the disease severity of patients with COVID-19 pneumonia induced by a novel coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Methods We prospectively enrolled a single-center case series of adult patients with COVID-19 admitted to the Infectious Disease Hospital of Jining, Jining City, Shandong Province, China, from January 24 to March 1, 2020. Demographics, clinical characteristics, and laboratory findings were compared to investigate the risk factors related with the disease severity of COVID-19 pneumonia patients. Results We included a total of 78 patients with COVID-19 pneumonia, of whom 6 had the severe type. As compared to a moderately ill cohort, our analysis showed that shortness of breath, fatigue, neutrophil percentages > 70%, neutrophil counts > 6.3 × 10 9 /L, lymphocyte percentages < 20%, lymphocyte counts < 1.0 × 10 9 /L, platelet < 100 × 10 9 /L, C-reactive protein (CRP) > 10 mg/L, neutrophil to platelet ratio (NPR) > 2.3, neutrophil to lymphocyte ratio (NLR) > 3.9, aspartate aminotransferase (AST) > 40 U/L, albumin < 40 g/L, lactate dehydrogenase (LDH) > 245 U/L, and glucose > 6.1 mmol/L were predictors of disease severity in COVID-19 pneumonia. In the sex-, age-, and comorbid illness-matched case-control study, neutrophil percentages > 70%, neutrophil counts > 6.3 × 10 9 /L, lymphocyte percentages < 20%, NPR > 2.3, NLR > 3.9, albumin < 40 g/L, and LDH > 245 U/L remained associated with the early detection and identification of severe patients. Conclusion We demonstrated that neutrophil percentages > 70%, neutrophil counts > 6.3×10 9 /L, lymphocyte percentages < 20%, NPR > 2.3, NLR > 3.9, albumin < 40 g/L, and LDH > 245 U/L might predict the severity of illness in patients with COVID-19 pneumonia.

16.
S Afr J Bot ; 2022 Feb 10.
Article in English | MEDLINE | ID: covidwho-1676905

ABSTRACT

The purpose of this study was to investigate the reservoir of natural products against the SARS-CoV-2 virus and to identify suitable candidates in order to recommend appropriate phytotherapy. Adequately prepared 65 molecules from traditional Chinese medicine with proven antiviral properties were subjected to docking analysis using AutoDock Vina 4 software with the aim to investigate binding affinity and interactions of compounds with Mpro from the SARS-CoV-2 virus. Biflavonoids and tannins show best docking scores with -9,80kcal/mol for biflavonoids and -9,00 kcal/mol for tannins. Biflavonoids: amentoflavone, agathistaflavone, robustaflavone, hinokiflavone and rhusflavanone were tested for their radical scavenging activity. Partition coefficients were examined by RP-HPLC. Evaluation of drug-likeness properties of investigated biflavonoids suggested rhusflavanone as a molecule with the best ADMET characteristics. Anti-inflammatory activity of rhusflavanone was investigated in LPS stimulated RAW264.7 macrophages. Tested biflavonoids exibit beneficial effects against inflammation by scavenging free radicals and by suppressing the production of proinflammatory mediators by macrophages. Both predictions of affinity spectra for substances (PASS) and in vitro testing showed promising biological activity of investigated biflavonoids. A Quantum chemical study was performed in order to calculate the thermodynamic, molecular orbital, and electrostatic potential of selected molecules and to compare their biological and chemical features. Our results highlighted antioxidant, anti-inflammatory and antiviral properties of investigated compounds, emphasizing the significance of biflavonoid moiety to selected characteristics, which encourage further investigational strategies against COVID-19.

17.
J Cancer Educ ; 2022 Jan 14.
Article in English | MEDLINE | ID: covidwho-1634686

ABSTRACT

18.
J Tradit Chin Med ; 41(6): 974-981, 2021 12.
Article in English | MEDLINE | ID: covidwho-1579544

ABSTRACT

OBJECTIVE: To evaluate the clinical effectiveness of Shumian capsule in improving the symptoms of insomnia, anxiety, depression, and other symptoms of convalescent patients of COVID-19. METHODS: Totally 200 patients were collected and randomly divided into experiment group (n = 100) and control group (n = 100). The control group was treated with Shumian capsule simulator, and the experiment group was treated with Shumian capsule. The improvement of TCM symptom score, the total effective rate and symptom disappearance rate of TCM symptoms in the two groups before and after treatment were observed, and the clinical effect was evaluated. RESULTS: One week after treatment, the scores of anxiety symptoms in the experiment group were significantly different from those in the control group (P < 0.05), but there was no significant difference in the scores of insomnia and depression between the experiment group and the control group (P > 0.05). There was no significant difference in the total effective rate and disappearance rate of TCM symptoms of insomnia, anxiety and depression between the experiment group and the control group (P > 0.05). After 2 weeks of treatment, the scores of insomnia, anxiety, depression and the total effective rate of TCM symptoms in the experiment group were significantly different from those in the control group (P < 0.05). There was no significant difference in the disappearance rate of insomnia, anxiety and depression between the experiment group and the control group (P > 0.05). There were no significant differences in heart rate, respiration, systolic blood pressure and diastolic blood pressure between the experiment group and the control group (P > 0.05). CONCLUSION: Shumian capsule can significantly improve the symptoms of insomnia, anxiety and depression in COVID-19's convalescent patients with sleep and mood disorders.

Subject(s)
COVID-19/complications , Mood Disorders/drug therapy , Sleep Wake Disorders/drug therapy , Adult , Anxiety , Depression , Female , Humans , Male , Medicine, Chinese Traditional , Middle Aged , Sleep Initiation and Maintenance Disorders
19.
Front Immunol ; 12: 674074, 2021.
Article in English | MEDLINE | ID: covidwho-1551497

ABSTRACT

As a new infectious disease, COVID-19 is spread through the respiratory tract in most cases. Its source and pathological mechanism are not clear. The most common clinical feature is pulmonary infection. Also, a lot patients have gastrointestinal symptoms. Angiotensin-converting enzyme 2 (ACE2) is a functional cellular receptor for SARS-CoV-2, which is like SARS-CoV, a coronavirus associated with severe acute respiratory syndrome (SARS) outbreak in 2003. The tissues and cells expressing ACE2 are potential targets for SARS-CoV-2 infection, and the high expression of ACE2 in intestinal epithelial cells marks that SARS-CoV-2 may directly infect intestinal epithelial cells. Recent studies also suggest that SARS-CoV-2 existed and replicated in intestinal environment for a long time. The interaction between SARS-CoV-2 and RAS system leads to the decrease of local anti-inflammatory ability. The virus cycle leads to excessive imbalance of immune response and cytokine release. The downregulation of ACE2 after viral infection leads to gastrointestinal dysfunction. The above are the causes of gastrointestinal symptoms. Here, we reviewed the possible causes and mechanisms of gastrointestinal symptoms caused by COVID-19. Additionally, we discussed the influence of gastrointestinal symptoms on the prognosis of patients.

Subject(s)
COVID-19/virology , Intestinal Mucosa/virology , SARS-CoV-2/pathogenicity , Humans
20.
Food Funct ; 12(22): 11241-11249, 2021 Nov 15.
Article in English | MEDLINE | ID: covidwho-1545659

ABSTRACT

The discovery of psychobiotics has improved the therapeutic choices available for clinical mental disorders and shows promise for regulating mental health in people by combining the properties of food and medicine. A Pediococcus acidilactici strain CCFM6432 was previously isolated and its mood-regulating effect was investigated in this study. Viable bacteria were given to chronically stressed mice for five weeks, and then the behavioral, neurobiological, and gut microbial changes were determined. CCFM6432 significantly reduced stress-induced anxiety-like behaviors, mitigated hypothalamic-pituitary-adrenal (HPA) axis hyperactivity, and reversed the abnormal expression of hippocampal phosphorylated CREB and the c-Fos protein. In particular, CCFM6432 improved the gut microbial composition by inhibiting the over-proliferated pathogenic bacteria (e.g., Escherichia-shigella) and promoting beneficial bacteria growth (e.g., Bifidobacterium). Lactic acid, rather than bacteriocin, was further confirmed as the key compound that determined the antimicrobial activity of CCFM6432. Collectively, these results first proved the psychobiotic potential of the Pediococcus acidilactici strain. Ingestion of CCFM6432, or fermented food containing it, may facilitate mental health management in daily life, especially during the COVID-19 pandemic.

Subject(s)
Anxiety/microbiology , Gastrointestinal Microbiome/drug effects , Hypothalamo-Hypophyseal System/drug effects , Lactic Acid/pharmacology , Pediococcus acidilactici , Probiotics/pharmacology , Animals , CREB-Binding Protein/metabolism , Hippocampus/metabolism , Mice , Mice, Inbred C57BL , Proto-Oncogene Proteins c-fos/metabolism