Long-term oral administration of Asarum heterotropoides f. mandshuricum (Maxim.) Kitag. decoction and its aristolochic acid analogs do not cause renal toxicity in mice.

ETHNOPHARMACOLOGICAL RELEVANCE: Asarum heterotropoides f. mandshuricum (Maxim.) Kitag. (AH) is widely used to treat influenza, COVID-19, allergic rhinitis, headache, toothache, rheumatoid arthritis, and peptic ulcer. However, its clinical use is controversial due to the concern of aristolochic acid nephropathy (AAN) caused by its component aristolochic acid analogs (AAs). AIM OF THE STUDY: The chronic toxicity of AH decoction and its main components AA IVa (AA-IVa) and aristolactam I (AL-I) was evaluated in mice. MATERIALS AND METHODS: AAs contents in AH were quantitated by liquid chromatography-mass spectrometry. A parallel design was employed to examine the potential chronic toxicity of AH decoction at doses equivalent to 0.5, 1.6, and 5.0 g/kg AH (approximately 10-100 times the clinical doses for humans) and its major AA components at doses equivalent to that in 5.0 g/kg AH to mice after consecutive daily oral administration for 12 and 24 weeks, and at 32 weeks after withdrawal for 8 weeks. RESULTS: AH crude herb contained 2.18 µg/g of AA-I, 48.49 µg/g of AA-IVa, and 14.0 µg/g of AL-I. AH decoction contained 5.45 µg/g of AA-IVa and 2.71 µg/g of AL-I. None of AA-II and AA-IIIa were detected in AH. After long-term administration of AH decoction and its major components AA-IVa and AL-I, mice showed no signs of illness or body weight changes. In addition, biochemical and pathohistological examinations showed that long-term administration of AH decoction and its major components AA-IVa and AL-I did not alter 1) serum levels of glutamic-pyruvic transaminase, glutamic oxalacetic transaminase, alkaline phosphatase, creatinine, and urea nitrogen, 2) renal tissue mRNA expression of kidney injury molecule 1 and neutrophil gelatinase-associated lipocalin, and 3) pathological morphology in the mouse liver, kidney, stomach, and bladder. CONCLUSIONS: AH has no obvious toxicity to mice and is relatively safe when it is used in the form of decoction. AA-IVa and AL-I, the two major AAs in AH, are not toxic to mice at the dose equivalent to that in the high dose of AH decoction. Considering the limited toxicological data on AH, we recommend that AH decoction medication should not overdose and the duration should not be too long.

Contested Journalistic Professionalism in China: Journalists’ Discourses in a Time of Crisis

Legacy media worldwide face challenges from both digital platforms and new media rivalries. China offers alternative views and modes of journalistic practices in response to the worldwide "professionalism" crisis. The outbreak of the COVID-19 pandemic has provided legacy media with an opportunity to reassert journalistic professionalism at a critical moment. Taking the market-oriented media outlet Caixin as a case, this study explores how Chinese journalists articulate their professional roles, values and ideals in the coverage of COVID-19. Through discourse analysis, we find that Caixin has defended its authority and legitimacy as quality journalism by incorporating "self-reflexivity" and "transparency" in their professional practices in the digital age. In response to the global journalism crisis, while Chinese state media have adopted the Marxist view, positivity and "conditioned autonomy" to counter the Western "professionalism", market-oriented media represented by Caixin have turned inward to "reflexivity" and "transparency" as a compromising strategy in their professional conventions.

Remote Surveillance System without Privacy Leakage for Contacts in Infectious Disease

Remote surveillance is an effective method in restraining the spread of infectious diseases via monitoring crowds in affected areas. However, the monitoring targets in existing works are crowds, leading to high system cost, and most of them focus on finding close contacts, less considering the privacy protection and suspected treatment issues. To conquer above problems, this paper develops a new remote surveillance system for infectious diseases, which contains the following major contributions: (1) the monitoring targets are the ordinary contacts not all crowds, effectively decreasing the system cost;(2) establish the joint-control mechanism among contacts, health center, and the hospital to facilitate the prediagnosis and in-time treatment for suspected patients;(3) to avoid the privacy leakage of contacts, a double encryption strategy is designed to protect the location information, and a separating database-storage mechanism is used to improve the contact’s data security on the whole. Theoretical security analysis showed that the proposed system and privacy protection methods can effectively fight transmission attacks and avoid privacy leakage during data usage. Based on the created COVID-19 dataset, the simulation experiments were carried out to evaluate the effectiveness and feasibility of the proposed system, on the metrics of the accuracy of prediagnosis, encryption, and decryption time for health and location data. In summary, this work provides a promising way of low-cost remote surveillance system without privacy leakage to control the spreading of infectious disease.

Mapping Genetic Events of SARS-CoV-2 Variants.

Genetic mutation and recombination are driving the evolution of SARS-CoV-2, leaving many genetic imprints which could be utilized to track the evolutionary pathway of SARS-CoV-2 and explore the relationships among variants. Here, we constructed a complete genetic map, showing the explicit evolutionary relationship among all SARS-CoV-2 variants including 58 groups and 46 recombination types identified from 3,392,553 sequences, which enables us to keep well informed of the evolution of SARS-CoV-2 and quickly determine the parents of novel variants. We found that the 5' and 3' of the spike and nucleoprotein genes have high frequencies to form the recombination junctions and that the RBD region in S gene is always exchanged as a whole. Although these recombinants did not show advantages in community transmission, it is necessary to keep a wary eye on the novel genetic events, in particular, the mutants with mutations on spike and recombinants with exchanged moieties on spike gene.

How do China's lockdown and post-COVID-19 stimuli impact carbon emissions and economic output? Retrospective estimates and prospective trajectories.

This paper develops a multi-sector and multi-factor structural gravity model that allows an analytical and quantitative decomposition of the emission and output changes into composition and technique effects. We find that the negative production shock of China's containment policy propagates globally via supply chains, with the carbon-intensive sectors experiencing the greatest carbon emission shocks. We further reveal that China's current stimulus package in 2021-2025 is consistent with China's emission intensity-reduction goals for 2025, but further efforts are required to meet China's carbon emissions-peaking target in 2030 and Cancun 2°C goal. Short-term changes in carbon emissions resulting from lockdowns and initial fiscal stimuli in "economic rescue" period have minor long-term effects, whereas the transitional direction of future fiscal stimulus exerts more predominant impact on long-term carbon emissions. The efficiency improvement effects are more important than the sectoral structure effects of the fiscal stimulus in achieving greener economic growth.

The Contribution of Psychological Distress to Resting Palpitations in Patients Who Recovered from Severe COVID-19.

BACKGROUND: Increasing numbers of patients have recovered from severe coronavirus disease 2019 (COVID-19) in Wuhan, China. This study aimed to evaluate the association of psychological distress with resting palpitations in recovered patients. METHODS: In this prospective cohort study, consecutive patients who recovered from severe COVID-19 and complained of resting palpitations were included. Dynamic electrocardiogram (ECG) was continuously monitored for 2 hours while patients were at rest. A survey using a palpitation frequency scale and the Hospital Anxiety and Depression Scale (HADS) was administered to all participants. RESULTS: Of the 289 consecutive patients who recovered from severe COVID-19, 24 patients (8.3%) suffered resting palpitation symptoms, and 22 patients were finally included. Two-hour Holter monitoring showed that 18 (81.8%) patients had tachyarrhythmias, of which the most common was sinus tachycardia (17/22, 77.3%). However, patients with sinus tachycardia showed a similar frequency of palpitation episodes compared to those without sinus tachycardia. Anxiety (68.2%) and depression (59.1%) were prevalent among these recovered patients. Patients with anxiety or depression symptoms had a higher frequency of palpitation episodes than those without anxiety or depression symptoms. In addition, both the HADS-anxiety score (r =0.609, P<0.01) and HADS-depression score (r =0.516, P=0.01) were positively related to the frequency of palpitation episodes. CONCLUSION: Symptoms of resting palpitations, manifested mainly by sinus tachycardia, are not uncommon in patients who recovered from severe COVID-19. Psychological distress (anxiety and depression) may be responsible, at least in part, for resting palpitation symptoms.

Compositional diversity and evolutionary pattern of coronavirus accessory proteins.

Accessory proteins play important roles in the interaction between coronaviruses and their hosts. Accordingly, a comprehensive study of the compositional diversity and evolutionary patterns of accessory proteins is critical to understanding the host adaptation and epidemic variation of coronaviruses. Here, we developed a standardized genome annotation tool for coronavirus (CoroAnnoter) by combining open reading frame prediction, transcription regulatory sequence recognition and homologous alignment. Using CoroAnnoter, we annotated 39 representative coronavirus strains to form a compositional profile for all of the accessary proteins. Large variations were observed in the number of accessory proteins of 1-10 for different coronaviruses, with SARS-CoV-2 and SARS-CoV having the most (9 and 10, respectively). The variation between SARS-CoV and SARS-CoV-2 accessory proteins could be traced back to related coronaviruses in other hosts. The genomic distribution of accessory proteins had significant intra-genus conservation and inter-genus diversity and could be grouped into 1, 4, 2 and 1 types for alpha-, beta-, gamma-, and delta-coronaviruses, respectively. Evolutionary analysis suggested that accessory proteins are more conservative locating before the N-terminal of proteins E and M (E-M), while they are more diverse after these proteins. Furthermore, comparison of virus-host interaction networks of SARS-CoV-2 and SARS-CoV accessory proteins showed that they share multiple antiviral signaling pathways, those involved in the apoptotic process, viral life cycle and response to oxidative stress. In summary, our study provides a tool for coronavirus genome annotation and builds a comprehensive profile for coronavirus accessory proteins covering their composition, classification, evolutionary pattern and host interaction.

One year of SARS-CoV-2 evolution.

Since the outbreak of SARS-CoV-2, the etiologic agent of the COVID-19 pandemic, the viral genome has acquired numerous mutations with the potential to increase transmission. One year after its emergence, we now further analyze emergent SARS-CoV-2 genome sequences in an effort to understand the evolution of this virus.

Co-mutation modules capture the evolution and transmission patterns of SARS-CoV-2.

The rapid spread and huge impact of the COVID-19 pandemic caused by the emerging SARS-CoV-2 have driven large efforts for sequencing and analyzing the viral genomes. Mutation analyses have revealed that the virus keeps mutating and shows a certain degree of genetic diversity, which could result in the alteration of its infectivity and pathogenicity. Therefore, appropriate delineation of SARS-CoV-2 genetic variants enables us to understand its evolution and transmission patterns. By focusing on the nucleotides that co-substituted, we first identified 42 co-mutation modules that consist of at least two co-substituted nucleotides during the SARS-CoV-2 evolution. Then based on these co-mutation modules, we classified the SARS-CoV-2 population into 43 groups and further identified the phylogenetic relationships among groups based on the number of inconsistent co-mutation modules, which were validated with phylogenetic trees. Intuitively, we tracked tempo-spatial patterns of the 43 groups, of which 11 groups were geographic-specific. Different epidemic periods showed specific co-circulating groups, where the dominant groups existed and had multiple sub-groups of parallel evolution. Our work enables us to capture the evolution and transmission patterns of SARS-CoV-2, which can contribute to guiding the prevention and control of the COVID-19 pandemic. An interactive website for grouping SARS-CoV-2 genomes and visualizing the spatio-temporal distribution of groups is available at https://www.jianglab.tech/cmm-grouping/.

Genome Composition and Divergence of the Novel Coronavirus (2019-nCoV) Originating in China.

An in-depth annotation of the newly discovered coronavirus (2019-nCoV) genome has revealed differences between 2019-nCoV and severe acute respiratory syndrome (SARS) or SARS-like coronaviruses. A systematic comparison identified 380 amino acid substitutions between these coronaviruses, which may have caused functional and pathogenic divergence of 2019-nCoV.