Jian Xiang’s research while affiliated with Jinan University and other places

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Publications (6)


Lycium barbarum glycopeptide ameliorates aging phenotypes and enhances cardiac metabolism by activating the PINK1/Parkin-mediated mitophagy pathway in D-galactose-induced mice
  • Article

January 2025

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6 Reads

Experimental Gerontology

Tianchan Peng

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Jian Xiang

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Yun Tian

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[...]

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A 15-Gene prognostic signature with TFAP2B functioning in Platinum Resistance of Ovarian Carcinoma

September 2024

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2 Reads

Resistance to platinum is the main challenge in the chemotherapy of ovarian cancer (OV). Therefore, developing a response signature to platinum is essential for the precision therapy of OV. Existing quantitative signatures of platinum are susceptible to batch effects and sequencing platform variations. To address this, we developed a transcriptome-based platinum signature, named PRSM, consisting of 15 genes, based on within-sample prognostic and relative expression ordering of genes, to predict individual responses to platinum in OV. The PRSM model demonstrated superior classification accuracy compared to previous quantitative signatures. Resistant samples classified by PRSM exhibited poorer overall survival, lower SNV neoantigen load, tumor mutational burden, and distinct methylation patterns compared to sensitive samples. Pathway analysis revealed the activation of MYC targets V2 and oxidative phosphorylation in resistant tumors. Single-cell analysis highlighted the roles of NK and epithelial cells in resistance. Among the 15 core genes, five (TFAP2B, KRT81, PAGE1, CRNN, UGT2B17) were linked to poor prognosis, with TFAP2B having the highest contribution to PRSM. Overexpression of TFAP2B in A2780 cells enhanced cisplatin sensitivity, while in A2780cis cells, it inhibited growth. In brief, our findings provide a multi-dimensional view of platinum resistance in ovarian cancer, introducing a robust predictive model and identifying potential therapeutic targets.


Secreted Clusterin Inhibits Tumorigenesis by Modulating Tumor Cell and Macrophage in Human Meningioma

February 2024

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27 Reads

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1 Citation

Neuro-Oncology

Background Meningioma is the most common primary intracranial tumor with a high frequency of postoperative recurrence, yet the biology of the meningioma malignancy process is still obscure. Methods To identify potential therapeutic targets and tumor suppressors, we performed single-cell transcriptome analysis through meningioma malignancy, which included 18 samples spanning normal meninges, benign and high-grade in situ tumors, and lung metastases, for extensive transcriptome characterization. Tumor suppressor candidate gene and molecular mechanism were functionally validated at the animal model and cellular levels. Results Comprehensive analysis and validation in mice and clinical cohorts indicated clusterin (CLU) had suppressive function for meningioma tumorigenesis and malignancy by inducing mitochondria damage and triggering type 1 interferon pathway dependent on its secreted isoform, and the inhibition effect was enhanced by TNFα as TNFα also induced type 1 interferon pathway. Meanwhile, both intra- and extracellular CLU overexpression enhanced macrophage polarization towards M1 phenotype and TNFα production, thus promoting tumor killing and phagocytosis. Conclusions CLU might be a key brake of meningioma malignance by synchronously modulating tumor cells and their microenvironment. Our work provides comprehensive insights into meningioma malignancy and a potential therapeutic strategy.


FIGURE 1 | The flow chart of overall study. (A) A total analysis of 153 healthy human subjects in 10KIP. (B) The anlysis of 133 Caucasian individuals and 19 Asian (Chinese) individuals.
FIGURE 2 | Age and race influenced the transcriptomic variations over human adult lifespan. WGCNA approach was applied for gene module construction for the transcriptome data of 153 healthy human subjects in 10KIP. Principal component analyses (PCA) were calculated individually. (A) Cluster dendrogram. Each branch represented one gene, and each color below denoted one co-expression gene module. The two colored rows below the dendrogram represented the original and merged modules, respectively. (B) Eigengene adjacency heatmap of different modules. Each module showed independent validation to each other, and higher correlation indicated higher co-expression interconnectedness. (C) Heatmap of the Pearson's correlation coefficient between trait (age, race and gender) and module (Continued )
FIGURE 3 | The characteristic gene expression of PBMC aging in Asian (Chinese). Transcriptome data of 19 healthy human subjects in Guangdong China were analyzed, and gene modules were constructed by WGCNA. (A) Principal component analyses. Young and old individuals were largely separated according to the principal component1 scores (PC1). (B) Cluster dendrogram. Each branch represents one gene, and each color below denotes one co-expression gene module. The two colored rows below the dendrogram represented the original and merged modules, respectively. (C) Heatmap of the Pearson's correlation between trait (age and gender) and module eigengene (ME, n 40). The column and row corresponded to trait and ME, respectively. The color in each cell represented corresponding correlation and scaled in the color legend. (D) Hierarchical cluster analyses of four interested modules. Based on the module-trait's Pearson's r and p value (absolute r > 0.5, p < 0.05), three modules (cyan, darkturquoise, and orange) showed relatively lower expression in young PBMC groups and high expression in the aged, while the brown modules showed the opposite result. Each dot represented an individual. (E) The histograms of the eigengene expression in the four age-related modules from young to old.
FIGURE 4 | Novel and known age-associated genes and pathways associated with PBMC aging in Asian (Chinese). Gene Ontology (GO) and KEGG pathway enrichment analyses were conducted to analyze the biological functions of modules. Module eigengene (ME) was defined as the first principal component of the expression matrix of the corresponding module and was considered as a representation of the gene expression profiles in a module. (A) The transcriptomic expression of age related modules changed significantly among young and old individuals. Based on ME expression profile of the four interesting modules, the expression of cyan, darkturquoise, and orange modules was downregulated, while brown module showed the opposite results. Box plots represent mean ± standard deviation (SD). (Continued )
FIGURE 5 | Aging-related changes in PBMC transcriptomes in Caucasian and its hub gene detection. Transcriptome data of 113 healthy Caucasian subjects in 10KIP were analyzed and gene modules were constructed by WGCNA. (A) Module-trait relationships. Row and column corresponded to module eigengenes and clinical trait (age and gender), respectively. Each cell contained the corresponding Pearson's correlation coefficient and p-value. (B) The histograms presentation of the eigengene expression in the brown and turquoise modules from young to old. (C) Comparison of eigengene expression of the brown and turquoise modules between young and older. The transcriptomic expression of age related modules changed significantly among young and old individuals. Box plots represent (Continued )

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Gene Expression Analysis Reveals Age and Ethnicity Signatures Between Young and Old Adults in Human PBMC
  • Article
  • Full-text available

February 2022

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151 Reads

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11 Citations

Frontiers in Aging

Human immune system functions over an entire lifetime, yet how and why the immune system becomes less effective with age are not well understood. Here, we characterize peripheral blood mononuclear cell transcriptome from 132 healthy adults with 21-90 years of age using the weighted gene correlation network analyses. In our study, 113 Caucasian from the 10KIP database and RNA-seq data of 19 Asian (Chinese) are used to explore the differential co-expression genes in PBMC aging. These two dataset reveal a set of insightful gene expression modules and representative gene biomarkers for human immune system aging from Asian and Caucasian ancestry, respectively. Among them, the aging-specific modules may show an age-related gene expression variation spike around early-seventies. In addition, we find the top hub genes including NUDT7, CLPB, OXNAD1, and MLLT3 are shared between Asian and Caucasian aging related modules and further validated in human PBMCs from different age groups. Overall, the impact of age and race on transcriptional variation elucidated from this study may provide insights into the transcriptional driver of immune aging.

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Age and Race related changes in Gene Expression during Human PBMC aging

February 2021

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55 Reads

Human immune system functions over an entire lifetime, yet how and why the immune system becomes less effective with age are not well understood. Here, we characterize peripheral blood mononuclear cells from 172 healthy adults 21~90 years of age using RNA-seq and the weighted gene correlation network analysis (WGCNA). These data have revealed a meaningful of gene expression modules or representative biomarkers for human immune system aging in Aisan and White ancestry. Among them, several gene modules demonstrated a remarkably correlation with human immune aging progress. Besides, further analysis on these ageing related modules show age-related gene expression changes spike is around early-seventies. More importantly, we also focus on how race and ethnicity affect immune aging as race-specific effects on these gene expression changes have clinical applications for diagnosis and interpretation of immunosenescence. Thus, the top hub genes including NUDT7, CLPB, OXNAD1 and MLLT3 are identified from Asian and white aging related modules and further validated in humans PBMC at different ages. Finally, the impact of age and race on immune phenotypes we discuss may provide insights into future studies.


Role of Dendritic Epidermal T Cells in Cutaneous Carcinoma

July 2020

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31 Reads

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8 Citations

Dendritic epidermal T cells (DETCs) are γδ T cells expressing invariant Vγ5Vδ1 T cell receptor (TCR) in murine epidermis. Initially, the development and the maturation of DETC progenitors are mediated by skint-1, TCR, and cytokines in the fetal thymus. Then, the DETC progenitors migrate to the epidermis with the guidance of selectins, CCR10, CCR4, etc. Eventually, mature DETCs proliferate and maintain a homeostatic population in the epidermis through IL-15 and aryl hydro-carbon receptor signaling. In “stressed” skin, DETCs are activated, exhibiting features such as a round morphology, cytotoxicity, and production of cytokines. In cutaneous carcinoma, DETCs generally inhibit tumor development directly in non-major histocompatibility complex-restricted manner, with the assistance of cytokines. DETCs also recognize and inhibit tumor via TCR, non-TCR receptors (such as 2B4 and NKG2D), or both. This study summarizes the biogenesis and the function of DETCs in cutaneous carcinoma and clarifies the essential surveillance role in the epidermis that DETCs play. As there are no DETCs in human epidermis but only human epidermis γδ T cells, we need to understand the anti-tumor pathways used by DETCs to find analogous immune pathways in human skin, which could be exploited for novel therapeutics.

Citations (2)


... Consequently, our experiment measured the M6 isotopologue of citrulline, which exhibited a significant decline in aged BMDMs. Furthermore, we assessed the mRNA expression of Nos2, which consistently showed (42). Bars represent means ± SeM. n = 7 to 9. Bars represent means ± SeM. ***P < 0.001, **P < 0.01, and *P < 0.05 (two-tailed Student's t test). ...

Reference:

Citrulline regulates macrophage metabolism and inflammation to counter aging in mice
Gene Expression Analysis Reveals Age and Ethnicity Signatures Between Young and Old Adults in Human PBMC

Frontiers in Aging

... The role of LCs in various skin cancers and wound healing, however, remains controversial, likely due to recently identified additional dermal langerin-positive non-LC populations that require reinterpretation of data from genetic models with langerin promoters (Deckers et al., 2018;Sheng et al., 2021;Li et al., 2021). DETCs have been clearly implicated in immune surveillance, shown to protect against skin tumors and to promote wound healing (Girardi et al., 2003;Havran and Jameson, 2010;Jameson et al., 2002;Kaminski et al., 1993;Schuhmachers et al., 1995;Xiang et al., 2020). Although it is unclear whether the above immune cell functions also apply to tail skin, this opens the possibility that immune surveillance in interscale IFE, and lack thereof in scale IFE, is decisive for tumorigenesis. ...

Role of Dendritic Epidermal T Cells in Cutaneous Carcinoma