Xichun Xia

Dr. Xichun Xia

orcid

Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

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

Representative Publications

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1 October 2020 in Journal of Clinical Investigation
Verified
Journal Article
Closed access
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XXXichun Xia
Xichun Xia
GCGuangcao Cao
Guangcao Cao
GSGuodong Sun
Guodong Sun
LZLeqing Zhu
Leqing Zhu
YTYixia Tian
Yixia Tian
YGYunfei Gao
Yunfei Gao
Psoriasis is a severe disease associated with the disturbance of metabolism and inflammation, but the molecular mechanisms underlying these aspects of psoriasis pathology are poorly understood. Here, we report that glutaminase 1–mediated (GLS1-mediated) glutaminolysis was aberrantly activated in patients with psoriasis and in psoriasis-like mouse models, which promoted Th17 and γδ T17 (IL-17A–producing γδ T) cell differentiation through enhancement of histone H3 acetylation of the Il17a promoter, thereby contributing to the immune imbalance and development of psoriasis. We further demonstrate that mucosa-associated lymphoid tissue lymphoma translocation protein 1 (MALT1) protease was constitutively active in psoriatic CD4+ and γδ T cells, thereby supporting GLS1 expression by stabilizing c-Jun, which directly binds to the GLS1 promoter region. Blocking the activity of either GLS1 or MALT1 protease resolved Th17 and γδ T17 cell differentiation and epidermal hyperplasia in the psoriasis-like mouse models. Finally, IL-17A enhanced GLS1 expression via the MALT1/cJun pathway in keratinocytes, resulting in hyperproliferation of and chemokine production by keratinocytes. Our findings identify the role of the MALT1/cJun/GLS1/glutaminolysis/H3 acetylation/T17 axis in psoriasis pathogenesis and reveal potential therapeutic targets for this disease.

7 March 2024 in Molecular Therapy
Verified
Journal Article
Open access
XXXichun Xia
Xichun Xia
LZLeqing Zhu
Leqing Zhu
MXMiaomiao Xu
Miaomiao Xu
ZLZhiwei Lei
Zhiwei Lei
HYHai Yu
Hai Yu
YGYunfei Gao
Yunfei Gao
Inflammation resolution is an essential process for preventing the development of chronic inflammatory diseases. However, the mechanisms that regulate inflammation resolution in psoriasis are not well understood. Here, we report that ANKRD22 is an endogenous negative orchestrator of psoriasiform inflammation, as ANKRD22-deficient mice are more susceptible to IMQ-induced psoriasiform inflammation. Mechanistically, ANKRD22 deficiency leads to excessive activation of TNFRII-NIK-mediated noncanonical NF-κB signaling pathway, resulting in hyperproduction of IL-23 in DCs. This is due to ANKRD22 being a negative feedback regulator for NIK, as it physically binds to and assists in degradation of accumulated NIK. Clinically, ANKRD22 is negatively associated with IL23A expression and psoriasis severity. Of greater significance, subcutaneous administration of an AAV carrying ANKRD22-overexpression vector effectively hastens resolution of psoriasiform skin inflammation. Our findings suggest ANKRD22, an endogenous supervisor of NIK, is responsible for inflammation resolution in psoriasis, and may be explored in the context of psoriasiss therapy.

1 May 2023 in Clinical, Cosmetic and Investigational Dermatology
Verified
Journal Article
Open access
PDF file
XXXichun Xia
Xichun Xia
HYHai Yu
Hai Yu
YLYanxiang Li
Yanxiang Li
YLYunting Liang
Yunting Liang
GLGuangqiang Li
Guangqiang Li
FHFang Huang
Fang Huang
Purpose: Psoriasis is a systemic inflammatory disease, and the mechanism that links psoriasis to depression is still elusive. Hence, this study aimed to elucidate the potential pathogenesis of psoriasis and depression comorbidity. Methods: The gene expression profiles of psoriasis (GSE34248, GSE78097 and GSE161683) and depression (GSE39653) were downloaded from the Gene Expression Omnibus (GEO) DataSets. Functional annotation, protein‐protein interaction (PPI) network and module construction, and hub gene identification and co-expression analysis were performed, following identification of the common differentially expressed genes (DEGs) of psoriasis and depression. Results: A total of 115 common DEGs (55 up-regulated and 60 down-regulated) were identified between psoriasis and depression. Functional analysis indicated that T cell activation and differentiation were predominantly implicated in the potential pathogenesis of these two diseases. In addition, Th17 cell differentiation and cytokines is closely related to both. Finally, 17 hub genes were screened, including CTLA4, LCK, ITK, IL7R, CD3D, SOCS1, IL4R, PRKCQ, SOCS3, IL23A, PDGFB, PAG1, TGFA, FGFR1, RELN, ITGB5 and TNXB, which re-emphasized the importance of the immune system in psoriasis and depression. Conclusion: Our study reveals the common pathogenesis of psoriasis and depression. These common pathways and hub genes may apply to a molecular screening tool for depression in psoriasis patients, which could help dermatologists optimize patient management in routine care.

26 September 2019 in Molecular Carcinogenesis
Verified
Journal Article
Closed access
PDF file
LZLeqing Zhu
Leqing Zhu
FTFen Tang
Fen Tang
ZLZhiwei Lei
Zhiwei Lei
CGChengbin Guo
Chengbin Guo
YSYueqi Song
Yueqi Song
XXXichun Xia
Xichun Xia

24 February 2023 in International Journal Of Clinical Practice
Verified
Journal Article
Open access
PDF file
HYHai Yu
Hai Yu
SXShuping Xie
Shuping Xie
XZXinkai Zheng
Xinkai Zheng
QZQiqi Zhao
Qiqi Zhao
XXXichun Xia
Xichun Xia
LDLiehua Deng
Liehua Deng
Background. The objective of this study is to determine the prognostic factors of keratinizing squamous cell carcinoma of the tongue (KTSCC) and to establish a prognostic nomogram of KTSCC to assist clinical diagnosis and treatment. Methods. This study identified 3874 patients with KTSCC from the Surveillance, Epidemiology, and End Results (SEER) database, and these patients were randomly divided into the training (70, (n=2711) and validation (30, n=1163) cohorts. Cox regression was then used to filter variables. Nomograms were then constructed based on meaningful variables. Finally, the concordance index (C-index), net reclassification index (NRI), integrated discrimination improvement (IDI), calibration charts, and decision-curve analysis (DCA), were used to evaluate the discrimination, accuracy and effectiveness of the model. Results. A nomogram model was established for predicting the 3-, 5-, and 8-year overall survival (OS) probabilities of patients with KTSCC. The model indicated that age, radiotherapy sequence, SEER stage, marital status, tumor size, American Joint Committee on Cancer (AJCC) stage, radiotherapy status, race, lymph node dissection status, and sex were factors influencing the OS of patients with KTSCC. Verified by C-index, NRI, IDI, calibration curve, and DCA curve, our model has better discrimination, calibration, accuracy and net benefit compared to the AJCC system. Conclusions. This study identified the factors that affect the survival of KTSCC patients and established a prognostic nomogram that can help clinicians predict the 3-, 5-, and 8-year survival rates of KTSCC patients.