Aiping Tian

Dr. Aiping Tian


Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

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

Representative Publications

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1 January 2017 in Evidence-Based Complementary and Alternative Medicine
Verified
Journal Article
Open access
PDF file
ATAiping Tian
Aiping Tian
XPXuenan Peng
Xuenan Peng
XBXinyu Bi
Xinyu Bi
SHShangying Hu
Shangying Hu
ZJZhichao Jiang
Zhichao Jiang
WCWei Chen
Wei Chen
Dermatologic toxicities resulting in dose reduction or discontinuation of treatment pose challenges for targeted anticancer therapies. We conducted this randomized, double‐blind, placebo‐controlled trial to investigate the efficacy of topical application of Compound Danxiong Granules (CDG) for treatment of dermatologic toxicities associated with targeted anticancer therapies. One hundred and ten patients with dermatologic toxicities induced by targeted anticancer therapies were randomly assigned to CDG or placebo group. Each crude herb (Rhizoma Chuanxiong, Paeonia suffruticosa Andr., Cortex Phellodendri, Geranium sibiricum L., and Flos Carthami) was prepared as an instant herbal powder. Application of the CDG via topical washes lasted 20 minutes, twice daily, for 10 days. The primary outcome was the total effective rate, defined as reduction in at least one grade of skin toxicity. The total effective rate was 77.61% (52/67) in the CDG group and 27.27% (9/33) in the placebo group (P < 0.0001). Compared to the placebo treatment, CDG treatment achieved a higher total effective rate for hand‐foot skin reaction (95.45% versus 27.27%), acneiform eruption (69.23% versus 30.78%), and paronychia (68.42% versus 22.22%). Topical application of CDG can effectively attenuate dermatologic toxicities induced by targeted anticancer therapies. The effect of CDG was more pronounced in hand‐foot skin reaction.

17 June 2022 in Tropical Journal of Pharmaceutical Research
Verified
Journal Article
Closed access
PDF file
NLNing Li
Ning Li
KLKeixin Liu
Keixin Liu
MYMai Yu
Mai Yu
SLShani Li
Shani Li
MLMingjuan Liu
Mingjuan Liu
ATAiping Tian
Aiping Tian
Purpose: To investigate the pharmacological effect of the traditional Chinese medicine (TCM) prescription Danxiong particles (TDX105) and its mechanism of action. Methods: The active compound and targets of TDX105 were investigated via network pharmacology. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) were enriched, and protein-protein interaction network (PPI) was constructed. A network of ‘components-targets-pathways’ was developed with Cytoscape 3.8.0 software, while the formation of molecular docking analysis was conducted using Autodock vina software. Results: There were 304 compounds and 482 targets identified in total. Genes with degree ≥ mean node values were selected as the crucial targets, and string database was to be combined to 64 targets identified with cytoscape so as to draw a protein interaction map. A total of 137 pathways were enriched from 64 targets involving mainly 10 pathways, for example, PI3K-Akt signaling pathway, pathways in cancer, human cytomegalovirus infection and focal adhesion. Then, compound-target and compoundtarget- pathways were constructed using cytoscape (3.8.0). Finally, the five most active compounds, viz, quercetin, myricetin, luteolin, ellagic acid and kaempferol, and the top ten targets AKT1, GAPDH, TP53, ALB, EGFR, MAPK3, JUN, MAPK1, SRC and ESR1 were selected for molecular docking. These targets and compounds had strong interactions through a combination of hydrogen bonds and hydrophobic forces. Conclusion: The mechanism of action of TDX105 has been successfully explained using the combination of network pharmacology and molecular docking. This may offer a solid foundation to the clinical use of TDX105, and further strengthen the prospects of its development for clinical use.

1 April 2009
Verified
Journal Article
Closed access
ATAiping Tian
Aiping Tian
CZChenhui Zou
Chenhui Zou
SSSujuan Sun
Sujuan Sun
YCYueteng Chen
Yueteng Chen
SGSaishan Guo
Saishan Guo
ZSZhufang Shen
Zhufang Shen

1 March 2009
Verified
Journal Article
Closed access
ATAiping Tian
Aiping Tian
CZChen-Hui Zou
Chen-Hui Zou
SSSu-Juan Sun
Su-Juan Sun

27 July 2026 in Frontiers in Public Health
Verified
Journal Article
Open access
PDF file
PWPeiran Wang
Peiran Wang
SYShuang Yu
Shuang Yu
NLNing Li
Ning Li
XHXinrui Hu
Xinrui Hu
NDNing Du
Ning Du
ATAiping Tian
Aiping Tian
Background: Radiation dermatitis (RD), a common adverse reaction to radiotherapy (RT), is widely discussed on video-sharing platforms. However, user-generated content about RD lacks systematic scientific validation. This study evaluates the reliability and quality of RD-related videos on two major social media platforms: Douyin and Bilibili. Methods: We conducted a cross-sectional study on Douyin and Bilibili, using keywords including “radiation dermatitis (放射性皮炎),” “radiotherapy-induced dermatitis (放疗诱导性皮炎),” “radiation skin injury (放射性皮肤损伤),” and “radiation dermatitis care (放射性皮炎护理)”. A total of 190 eligible short videos were included for analysis. We collected data on video characteristics, including title, uploader identity, upload date, video duration, content type, engagement metrics (likes, comments, shares, saves), presentation format, and quality scores. Video quality and reliability were assessed using the modified DISCERN (mDISCERN), the Journal of the American Medical Association (JAMA) benchmark criteria, and the Global Quality Scale (GQS) by two independent reviewers. Results: The analysis revealed that Douyin videos were significantly shorter in duration than those on Bilibili ( p &lt; 0.05), yet they demonstrated higher audience engagement. Douyin yielded significantly higher median mDISCERN and JAMA scores than Bilibili, while the between-group difference in GQS scores did not reach statistical significance. Videos created by professional healthcare providers demonstrated higher reliability and quality, with mDISCERN scores of 3 and GQS scores of 3. Correlation analysis revealed a strong significant positive correlation between video shares and saves. Engagement metrics showed positive correlations with all three quality scores but with gradient differences in strength: strong correlations with mDISCERN scores, moderate correlations with GQS scores, and weak correlations with JAMA scores. Conclusions: Social media platforms support the dissemination of RD-related health information to some extent, but the overall quality of videos remains suboptimal. We recommend that professional healthcare providers obtain official platform certification to promote the spread of high-quality RD-related content.