Junhua Rao

Prof. Junhua Rao


Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

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

Representative Publications

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30 December 2021 in Genomics, Proteomics & Bioinformatics
Verified
Journal Article
Open access
ZWZhi-Yuan Wei
Zhi-Yuan Wei
JRJunhua Rao
Junhua Rao
MTMing-Tian Tang
Ming-Tian Tang
GZGuo-An Zhao
Guo-An Zhao
QLQi-Chun Li
Qi-Chun Li
JCJian-Huan Chen
Jian-Huan Chen
Recent population studies have significantly advanced our understanding of how age shapes the gut microbiota. However, the actual role of age could be inevitably confounded due to the complex and variable environmental factors in human populations. A well-controlled environment is thus necessary to reduce undesirable confounding effects, and recapitulate age-dependent changes in the gut microbiota of healthy primates. Herein we performed 16S rRNA gene sequencing, characterized the age-associated gut microbial profiles from infant to elderly crab-eating macaques reared in captivity, and systemically revealed the lifelong dynamic changes of the primate gut microbiota. While the most significant age-associated taxa were mainly found as commensals such as Faecalibacterium, the abundance of a group of suspicious pathogens such as Helicobacter was exclusively increased in infants, underlining their potential role in host development. Importantly, topology analysis indicated that the network connectivity of gut microbiota was even more age-dependent than taxonomic diversity, and its tremendous decline with age could probably be linked to healthy aging. Moreover, we identified key driver microbes responsible for such age-dependent network changes, which were further linked to altered metabolic functions of lipids, carbohydrates, and amino acids, as well as phenotypes in the microbial community. The current study thus demonstrates the lifelong age-dependent changes and their driver microbes in the primate gut microbiota, and provides new insights into their roles in the development and healthy aging of their hosts.

19 May 2023 in Biomaterials
Verified
Journal Article
Closed access
Xiang ZengXiang Zeng
Xiang Zeng
QWQing-Shuai Wei
Qing-Shuai Wei
JYJi-Chao Ye
Ji-Chao Ye
JRJunhua Rao
Junhua Rao
MZMei-Guang Zheng
Mei-Guang Zheng
YZYuanshan Zeng
Yuanshan Zeng

25 March 2022 in Frontiers in Microbiology
Verified
Journal Article
Open access
JGJiang-Mei Gao
Jiang-Mei Gao
JRJunhua Rao
Junhua Rao
ZWZhi-Yuan Wei
Zhi-Yuan Wei
SXShou-Yue Xia
Shou-Yue Xia
LHLi Huang
Li Huang
JCJian-Huan Chen
Jian-Huan Chen
Emerging evidence has been reported to support the involvement of the gut microbiota in the host’s blood lipid and hyperlipidemia (HLP). However, there remains unexplained variation in the host’s blood lipid phenotype. Herein a nonhuman primate HLP model was established in cynomolgus monkeys fed a high-fat diet (HFD) for 19 months. At month 19%, 60% (3/5) of the HFD monkeys developed HLP, but surprisingly 40% of them (2/5) exhibited strong tolerance to the HFD (HFD-T) with their blood lipid profiles returning to normal levels. Metagenomic analysis was used to investigate the compositional changes in the gut microbiota in these monkeys. Furthermore, the relative abundance of Megasphaera remarkably increased and became the dominant gut microbe in HFD-T monkeys. A validation experiment showed that transplantation of fecal microbiota from HFD-T monkeys reduced the blood lipid levels and hepatic steatosis in HLP rats. Furthermore, the relative abundance of Megasphaera significantly increased in rats receiving transplantation, confirming the successful colonization of the microbe in the host and its correlation with the change of the host’s blood lipid profiles. Our results thus suggested a potentially pivotal lipid-lowering role of Megasphaera in the gut microbiota, which could contribute to the variation in the host’s blood lipid phenotype.

1 September 2017 in Brain Research Bulletin
Verified
Journal Article
Closed access
YCYajie Chi
Yajie Chi
BWBolin Wu
Bolin Wu
JGJianwei Guan
Jianwei Guan
KXKuntai Xiao
Kuntai Xiao
ZLZiming Lu
Ziming Lu
YGYanwu Guo
Yanwu Guo

23 November 2022 in Biomedicines
Verified
Journal Article
Open access
PDF file
PTPuyuan Tian
Puyuan Tian
JGJiangmei Gao
Jiangmei Gao
LLLifeng Liang
Lifeng Liang
BCBota Cui
Bota Cui
QHQiming Hu
Qiming Hu
HWHong Wei
Hong Wei
Chronic diarrhea is associated with enteric dysbiosis and provokes the overuse of antibiotics. Fecal microbiota transplantation (FMT) is a promising therapy, but it shows discrepant clinical efficacy. Bacterial colonization in recipients has been studied, although little is known about the role of gut fungi and Archaea after FMT. In this study, we evaluated the efficacy of human-derived FMT on spontaneous chronic diarrhea cynomolgus monkeys and revealed the effector mechanisms. We demonstrated that FMT can mitigate the appearance of diarrheal symptoms and inhibit the increase in interleukin-6, interleukin-8, interleukin-1β, and interferon-γ and the decrease in interleukin-10 in serum. We confirmed that FMT restored the disturbance of gut bacteria by reducing the relative abundances of potential pathogens, including Cloacibacillus porcorum, Desulfovibrio desulfuricans, Erysipelotrichaceae bacterium 5_2_54FAA, and Erysipelotrichaceae bacterium 21_3, and increasing the levels of Lactobacillus fermentum and Lactobacillus ruminis CAG_367 in diarrheal monkeys. The metabolic pathways of healthy and FMT monkeys’ gut bacteria were enriched in amino acid metabolism, carbohydrate metabolism, and lipid metabolism, while the metabolic pathways of pre-FMT monkeys’ gut bacteria were enriched in antibiotic production. Moreover, a higher Ascomycota/Basidiomycota ratio, higher Aspergillus levels, and lower Trichosporon asahii abundance were present in intestinal fungi after FMT. Although the abundance of the Archaea Methanosphaera stastmanae did not change significantly, it was inversely correlated with the anti-inflammatory factor IL-4 after FMT. These results support the further development and application of FMT for chronic diarrhea.

26 July 2024 in npj Biofilms and Microbiomes
Verified
Journal Article
Open access
PDF file
JGJiang-Mei Gao
Jiang-Mei Gao
SXShou-Yue Xia
Shou-Yue Xia
Geoff HideGeoff Hide
Geoff Hide
BLBi-Hai Li
Bi-Hai Li
YLYi-Yan Liu
Yi-Yan Liu
JRJunhua Rao
Junhua Rao
The gut microbiota has been demonstrated to play a significant role in the pathogenesis of Parkinson’s disease (PD). However, conflicting findings regarding specific microbial species have been reported, possibly due to confounding factors within human populations. Herein, our current study investigated the interaction between the gut microbiota and host in a non-human primate (NHP) PD model induced by 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) using a multi-omic approach and a self-controlled design. Our transcriptomic sequencing of peripheral blood leukocytes (PBL) identified key genes involved in pro-inflammatory cytokine dysregulation, mitochondrial function regulation, neuroprotection activation, and neurogenesis associated with PD, such as IL1B, ATP1A3, and SLC5A3. The metabolomic profiles in serum and feces consistently exhibited significant alterations, particularly those closely associated with inflammation, mitochondrial dysfunctions and neurodegeneration in PD, such as TUDCA, ethylmalonic acid, and L-homophenylalanine. Furthermore, fecal metagenome analysis revealed gut dysbiosis associated with PD, characterized by a significant decrease in alpha diversity and altered commensals, particularly species such as Streptococcus, Butyrivibrio, and Clostridium. Additionally, significant correlations were observed between PD-associated microbes and metabolites, such as sphingomyelin and phospholipids. Importantly, PDPC significantly reduced in both PD monkey feces and serum, exhibiting strong correlation with PD-associated genes and microbes, such as SLC5A3 and Butyrivibrio species. Moreover, such multi-omic differential biomarkers were linked to the clinical rating scales of PD monkeys. Our findings provided novel insights into understanding the potential role of key metabolites in the host-microbiota interaction involved in PD pathogenesis.