Jiancheng Huang's research while affiliated with Xiamen University and other places

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Publications (1)


Antiretroviral therapy entecavir reversed chronic stress-induced negative emotional behaviors. A Schematic representation. B Diagram showing the daily bodyweight, as well as statistical analysis of bodyweight during a 6-w period for each group. One-way ANOVA with Tukey's post hoc test, **P < 0.01, compared with CONT; n = 12. C Heat maps and statistical analysis of central time% and total distance in OF test for each group. One-way ANOVA with Tukey's post hoc test, ***P < 0.001, compared with CONT; ##P < 0.01, ###P < 0.001, compared with SUS-PBS; n = 12. D Heat maps and statistical analysis of open arms time% and open arms entries% in EPM test for each group. One-way ANOVA with Tukey's post hoc test, ***P < 0.001, compared with CONT; ##P < 0.01, ###P < 0.001, compared with SUS-PBS; n = 12. E Track maps and statistical analysis of recognition index of investigations and time in NOR test for each group. One-way ANOVA with Tukey's post hoc test, ***P < 0.001, compared with CONT; ##P < 0.01, ###P < 0.001, compared with SUS-PBS; n = 12. F Statistical analysis of sucrose preference% in SP test for each group. One-way ANOVA with Tukey's post hoc test, ***P < 0.001, compared with CONT; ##P < 0.01, ###P < 0.001, compared with SUS-PBS; n = 12. G Statistical analysis of immobility time% in FS test for each group. One-way ANOVA with Tukey's post hoc test, ***P < 0.001, compared with CONT; ###P < 0.001, compared with SUS-PBS; n = 12. H Statistical analysis of immobility time% in TS test for each group. One-way ANOVA with Tukey's post hoc test, ***P < 0.001, compared with CONT; ###P < 0.001, compared with SUS-PBS; n = 12
Antiretroviral therapy Entecavir reversed chronic stress-induced microglial morphological activation, ERVs transcription, intrinsic nucleic acids sensing response, and inflammation in BLA. A Representative immunofluorescent images showing Iba1⁺CD68⁺ microglia in BLA, as well as statistical analysis of the number of Iba1⁺ microglia and Iba1⁺CD68⁺ microglia in BLA. One-way ANOVA with Tukey's post hoc test, ***P < 0.01, compared with CONT; ###P < 0.001, compared with SUS-PBS; scale bar = 40 × ; a total of 21 replicates from n = 3. B Representative immunofluorescent and their 3D reconstructive Sholl images showing Iba1⁺ microglia in BLA, statistical analysis of microglial area and cell body area of Iba1⁺ microglia in BLA, as well as Sholl analysis of Iba1⁺ microglia in BLA. One-way ANOVA for areas analysis and repeated measure ANOVA for Sholl analysis with Tukey's post hoc test, ***P < 0.01, compared with CONT; ##P < 0.01, ###P < 0.001, compared with SUS-PBS; scale bar = 60 × ; a total of 90 replicates from n = 3. C Representative flow cytometry strategy for gating CD11b⁺CD45Low microglia in BLA. D Representative flow cytometry images for showing CD11b⁺CD45LowMHC-II⁺ microglia in BLA, as well as statistical analysis of percentage of CD11b⁺CD45LowMHC-II⁺ microglia in BLA. One-way ANOVA with Tukey's post hoc test, ***P < 0.001, compared with CONT; ###P < 0.001, compared with SUS-PBS; n = 6. E Statistical analysis of murine orthologous microglial ERVs genes expression in BLA. One-way ANOVA with Tukey's post hoc test, $$$P < 0.01, compared with ET; #P < 0.05, ##P < 0.01, ###P < 0.001, compared with SUS-PBS; n = 3. F Representative western blot images for showing microglial p-p53, p53, IFI16, STING, p-p65, p65, NLRP3, caspase-1, IL-1β, and β-actin in BLA and cortex, as well as their statistical analysis of relative proteins expression. One-way ANOVA with Tukey's post hoc test, *P < 0.05, ***P < 0.001, compared with CONT; #P < 0.05, ##P < 0.01, ###P < 0.001, compared with SUS-PBS; n = 3
Pharmacologically inhibiting reverse transcriptases reversed chronic stress-induced negative emotional behaviors. A Schematic representation. B Heat maps and statistical analysis of central time% and total distance in OF test for each group. One-way ANOVA with Tukey’s post hoc test, **P < 0.01, compared with CONT; ###P < 0.001, compared with SUS-PBS; n = 12. C Heat maps and statistical analysis of open arms time% and open arms entries% in EPM test for each group. One-way ANOVA with Tukey’s post hoc test, **P < 0.01, ***P < 0.001, compared with CONT; ##P < 0.01, ###P < 0.001, compared with SUS-PBS; n = 12. D Track maps and statistical analysis of recognition index of investigations and time in NOR test for each group. One-way ANOVA with Tukey’s post hoc test, ***P < 0.001, compared with CONT; ###P < 0.001, compared with SUS-PBS; n = 12. E Statistical analysis of sucrose preference% in SP test for each group. One-way ANOVA with Tukey’s post hoc test, ***P < 0.001, compared with CONT; ###P < 0.001, compared with SUS-PBS; n = 12. F Statistical analysis of immobility time% in FS test for each group. One-way ANOVA with Tukey’s post hoc test, ***P < 0.001, compared with CONT; ###P < 0.001, compared with SUS-PBS; n = 12. G Statistical analysis of immobility time% in TS test for each group. One-way ANOVA with Tukey’s post hoc test, ***P < 0.001, compared with CONT; ###P < 0.001, compared with SUS-PBS; n = 12
Pharmacologically inhibiting reverse transcriptases reversed chronic stress-induced microglial morphological activation, ERVs transcription, intrinsic nucleic acids sensing response, and inflammation in BLA. A Representative immunofluorescent images showing Iba1⁺CD68⁺ microglia in BLA, as well as statistical analysis of the number of Iba1⁺ microglia and Iba1⁺CD68⁺ microglia in BLA. One-way ANOVA with Tukey’s post hoc test, ***P < 0.01, compared with CONT; ###P < 0.001, compared with SUS-PBS; scale bar = 40 ×; a total of 21 replicates from n = 3. B Representative immunofluorescent and their 3D reconstructive Sholl images showing Iba1⁺ microglia in BLA, as well as statistical analysis of microglial area and cell body area of Iba1⁺ microglia in BLA. One-way ANOVA with Tukey’s post hoc test, ***P < 0.01, compared with CONT; ###P < 0.001, compared with SUS-PBS; scale bar = 60 ×; a total of 90 replicates from n = 3. C Representative flow cytometry images for showing CD11b⁺CD45LowMHC-II⁺ microglia in BLA, as well as statistical analysis of percentage of CD11b⁺CD45LowMHC-II⁺ microglia in BLA. One-way ANOVA with Tukey’s post hoc test, ***P < 0.001, compared with CONT; ###P < 0.001, compared with SUS-PBS; n = 6. D Statistical analysis of murine microglial ERVs genes expression in BLA. One-way ANOVA with Tukey’s post hoc test, ###P < 0.01, compared with SUS-PBS; n = 3. E Representative western blot images for showing microglial p-p53, p53, IFI16, STING, p-p65, p65, NLRP3, caspase-1, IL-1β, and β-actin in BLA, as well as their statistical analysis of relative proteins expression. One-way ANOVA with Tukey’s post hoc test, ***P < 0.001, compared with CONT; ###P < 0.001, compared with SUS-PBS; n = 3
p53 knocking-down in BLA reversed chronic stress-induced negative emotional behaviors. A Schematic representation. B Heat maps and statistical analysis of central time% and total distance in OF test for each group. One-way ANOVA with Tukey’s post hoc test, ***P < 0.001, compared with CONT; ###P < 0.001, compared with SUS-ACSF; $$$ P < 0.001, compared with SUS-AAV-Veh; n = 12. C Heat maps and statistical analysis of open arms time% and open arms entries% in EPM test for each group. One-way ANOVA with Tukey’s post hoc test, **P < 0.01, ***P < 0.001, compared with CONT; ###P < 0.001, compared with SUS-ACSF; $$$ P < 0.001, compared with SUS-AAV-Veh; n = 12. D Track maps and statistical analysis of recognition index of investigations and time in NOR test for each group. One-way ANOVA with Tukey’s post hoc test, ***P < 0.001, compared with CONT; ###P < 0.001, compared with SUS-ACSF; $$$ P < 0.001, compared with SUS-AAV-Veh; n = 12. E Statistical analysis of sucrose preference% in SP test for each group. One-way ANOVA with Tukey’s post hoc test, ***P < 0.001, compared with CONT; ###P < 0.001, compared with SUS-ACSF; $$$ P < 0.001, compared with SUS-AAV-Veh; n = 12. F Statistical analysis of immobility time% in FS test for each group. One-way ANOVA with Tukey’s post hoc test, ***P < 0.001, compared with CONT; ###P < 0.001, compared with SUS-ACSF; $$$P < 0.001, compared with SUS-AAV-Veh; n = 12. G Statistical analysis of immobility time% in TS test for each group. One-way ANOVA with Tukey’s post hoc test, ***P < 0.001, compared with CONT; ###P < 0.001, compared with SUS-ACSF; $$$P < 0.001, compared with SUS-AAV-Veh; n = 12

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Activation of endogenous retrovirus triggers microglial immuno-inflammation and contributes to negative emotional behaviors in mice with chronic stress
  • Article
  • Full-text available

February 2023

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62 Reads

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3 Citations

Journal of Neuroinflammation

Han Bao

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Jinqi Yan

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Jiancheng Huang

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[...]

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Background The “missing” link of complex and multifaceted interplay among endogenous retroviruses (ERVs) transcription, chronic immuno-inflammation, and the development of psychiatric disorders is still far from being completely clarified. The present study was aimed to investigate the mechanism of protective role of inhibiting ERVs on reversing microglial immuno-inflammation in basolateral amygdala (BLA) in chronic stress-induced negative emotional behaviors in mice. Methods Male C57BL/6 mice were exposed to chronic unpredictable mild stress (CUMS) for 6 w. Negative emotional behaviors were comprehensively investigated to identify the susceptible mice. Microglial morphology, ERVs transcription, intrinsic nucleic acids sensing response, and immuno-inflammation in BLA were assessed. Results Mice with chronic stress were presented as obviously depressive- and anxiety-like behaviors, and accompanied with significant microglial morphological activation, murine ERVs genes MuERV-L, MusD, and IAP transcription, cGAS–IFI16–STING pathway activation, NF-κB signaling pathway priming, as well as NLRP3 inflammasome activation in BLA. Antiretroviral therapy, pharmacological inhibition of reverse transcriptases, as well as knocking-down the ERVs transcriptional regulation gene p53 significantly inhibited microglial ERVs transcription and immuno-inflammation in BLA, as well as improved the chronic stress-induced negative emotional behaviors. Conclusions Our results provided an innovative therapeutic approach that targeting ERVs-associated microglial immuno-inflammation may be beneficial to the patients with psychotic disorders.

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... When abnormally expressed, HERV transcripts can profoundly alter the innate immunity 59 , and their "awakening" is considered a key factor in triggering the cGAS/Sting and other pro-inflammatory pathways with eventual development of cytokine storm and severe disease evolution in predisposed individuals 59 . HERV-mediated cGAS/Sting triggering of innate inflammation in nervous tissues is a major pathogenic mechanism in neurological and psychiatric diseases and may be also involved in the neurological complications observed in COVID-19 and long-COVID-19 49,[60][61][62] . Most HERVs are epigenetically silenced, a process ensuring genomic stability that is progressively reduced in aging and toxic or infection-related stress, all conditions representing also risk factors for severe COVID-19 disease [63][64][65] . ...

Reference:

COVID-19. Biology, pathophysiology, and immunology: a pathologist view
Activation of endogenous retrovirus triggers microglial immuno-inflammation and contributes to negative emotional behaviors in mice with chronic stress

Journal of Neuroinflammation