Li Mao

Dr. Li Mao

orcid

Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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13 June 2022 in Viruses
Verified
Journal Article
Open access
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Li MaoLi Mao
Li Mao
Wenliang LiWenliang Li
Wenliang Li
FHFei Hao
Fei Hao
LYLeilei Yang
Leilei Yang
JLJizong Li
Jizong Li
ZCZilong Cheng
Zilong Cheng
China is the country with the largest number of domestic small ruminants in the world. Recently, the intensive and large-scale sheep/goat raising industry has developed rapidly, especially in nonpastoral regions. Frequent trading, allocation, and transportation result in the introduction and prevalence of new pathogens. Several new viral pathogens (peste des petits ruminants virus, caprine parainfluenza virus type 3, border disease virus, enzootic nasal tumor virus, caprine herpesvirus 1, enterovirus) have been circulating and identified in China, which has attracted extensive attention from both farmers and researchers. During the last decade, studies examining the etiology, epidemiology, pathogenesis, diagnostic methods, and vaccines for these emerging viruses have been conducted. In this review, we focus on the latest findings and research progress related to these newly identified viral pathogens in China, discuss the current situation and problems, and propose research directions and prevention strategies for different diseases in the future. Our aim is to provide comprehensive and valuable information for the prevention and control of these emerging viruses and highlight the importance of surveillance of emerging or re-emerging viruses.

11 March 2013 in Virology Journal
Verified
Journal Article
Open access
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Wenliang LiWenliang Li
Wenliang Li
Li MaoLi Mao
Li Mao
YZYongqian Zhao
Yongqian Zhao
YSYinhua Sun
Yinhua Sun
KHKongwang He
Kongwang He
JJJieyuan Jiang
Jieyuan Jiang
Background: Border disease virus (BDV) is an important pathogen in sheep and goat production. Neither epidemiological investigation nor any reports of BDV infection was available in China. During Jan to Apr, 2012, several herd goats in Anhui and Jiangsu provinces in eastern China suffered unremitting diarrhea, with morbidity and mortality of about 28-37% and 10-15%, respectively. In the present study, sera and tissue samples from diseased goats of four farms were taken for BDV detection, isolation and identification. Results: Panpesti generic primers and border disease virus (BDV)-specific primers targeting the 5’-UTR region produced RT-PCR positive bands for sera (24/28) and tissue samples (7/30). Twenty positive sera and tissue samples were inoculated onto Madin-Darby bovine kidney (MDBK) cells for virus isolation. Finally, three different strains of BDV, named AH12-01, AH12-02 and JS12/04, were successfully isolated as identified by RT-PCR using 5’-UTR and Npro gene primers, sequencing and electron microscopy. Sequences of 5’-UTR and Npro genes of them were used for phylogenetic analysis and comparison to other reference sequences available in GenBank. The results indicated AH12-01, AH12-02 and JS12/04 possess high relationship with the BDV 3 group viruses and differed with each other. Conclusion: This is the first detection of BDV from goats with diarrhea and confirmation of BDV infection in China.

29 June 2021 in Microorganisms
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Journal Article
Open access
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LWLiqun Wang
Liqun Wang
TLTingLi Liu
TingLi Liu
LCLiang Guo Chen
Liang Guo Chen
YLYanping Li
Yanping Li
SZShaohua Zhang
Shaohua Zhang
XLXuenong Luo
Xuenong Luo
Cysticercus pisiformis, the larval stage of Taenia pisiformis, causes serious illness in rabbits that severely impacts the rabbit breeding industry. An inhibitive Th2 immune response can be induced by let-7-enriched exosomes derived from T. pisiformis cysticercus. However, the underlying molecular mechanisms are not completely understood. Here, we report that exosomal miR-let-7-5p released by T. pisiformis cysticercus played a critical role in the activation of M2 macrophages. We found that overexpression of let-7-5p in M1 macrophages decreased M1 phenotype expression while promoting polarization to the M2 phenotype, which is consistent with experimental data in exosome-treated macrophages alone. In contrast, knockdown of let-7-5p in exosome-like vesicles promoted M1 polarization and decreased M2 phenotype expression. Furthermore, down-regulation of transcription factor CCAAT/enhancer-binding protein (C/EBP)-δ resulted in the decrease of M1 phenotype markers and increase of M2 phenotype markers. These results suggested that let-7 enriched in exosome-like vesicles from T. pisiformis metacestodes can induce M2 macrophage polarization via targeting C/EBP δ, which may be involved in macrophage polarization induced by T. pisiformis metacestodes. The finding helps to expand our knowledge of the molecular mechanism of immunosuppression and Th2 immune response induced by metacestodes.

19 July 2011 in Virology Journal
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Journal Article
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Bin LiBin Li
Bin Li
SXShaobo Xiao
Shaobo Xiao
JMJunjie Ma
Junjie Ma
YLYanling Liu
Yanling Liu
Li MaoLi Mao
Li Mao
KHKongwang He
Kongwang He
The recently discovered porcine boca-like virus (Pbo-likeV) is a member of the Parvoviridae family, genus Bocavirus, and it is potentially associated with swine disease. Several studies have associated Pbo-likeV with postweaning multisystemic wasting syndrome in pigs, but the full spectrum of clinical disease and the epidemiology of Pbo-likeV infection remain unclear. The availability of rapid and reliable molecular diagnostics would aid future studies of this novel virus. Thus, we developed a sensitive and specific TaqMan-based real-time PCR assay to target the Pbo-likeV NP1 gene. The assay reproducibly detected 20 copies of a recombinant DNA plasmid containing the NP1 gene, with a dynamic range of six orders of magnitude (102-107 copies). The assay did not cross-react with other animal viruses. Clinical evaluation found that Pbo-likeV was present in Chinese swine herds at a frequency of 44.2% (114/258). Higher infection rates were found in diseased pigs (56.1%, 101/180) compared with healthy pigs (16.7%, 13/78) (P < 0.05). Our assay for the diagnosis and quantification of Pbo-likeV was highly sensitive and specific, and should provide a reliable real-time tool for epidemiological and pathogenetic study of Pbo-likeV infection.

1 December 2017 in Journal of Virological Methods
Verified
Journal Article
Closed access
Li MaoLi Mao
Li Mao
Wenliang LiWenliang Li
Wenliang Li
TZTianci Zhou
Tianci Zhou
LYLeilei Yang
Leilei Yang
FHFei Hao
Fei Hao
JJJieyuan Jiang
Jieyuan Jiang

21 May 2024 in Veterinary Sciences
Verified
Journal Article
Open access
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SLSiyuan Li
Siyuan Li
JHJin Huang
Jin Huang
XCXuhang Cai
Xuhang Cai
Li MaoLi Mao
Li Mao
LXLingling Xie
Lingling Xie
BLBin Li
Bin Li
Bovine coronavirus (BCoV), bovine rotavirus, bovine viral diarrhea virus, and bovine astrovirus are the most common intestinal pathogenic viruses causing diarrhea in cattle. We collected 1646 bovine fecal samples from January 2020 to August 2023. BCoV was the major pathogen detected, with a positive rate of 34.02% (560/1646). Of the 670 diarrheal samples and 976 asymptomatic samples, 209 and 351 were BCoV-positive, respectively. Studying the relevance of diarrhea associated with BCoV has shown that the onset of diarrheal symptoms post-infection is strongly correlated with the cattle’s age and may also be related to the breed. We amplified and sequenced the hemagglutinin esterase (HE), spike protein, and whole genomes of the partially positive samples and obtained six complete HE sequences, seven complete spike sequences, and six whole genomes. Molecular characterization revealed that six strains were branched Chinese strains, Japanese strains, and partial American strains from the GⅡb subgroup. Strains HBSJZ2202 and JSYZ2209 had four amino acid insertions on HE. We also analyzed ORF1a and found disparities across various regions within GIIb, which were positioned on separate branches within the phylogenetic tree. This work provides data for further investigating the epidemiology of BCoV and for understanding and analyzing BCoV distribution and dynamics.