Tingting Cui

Prof. Tingting Cui

orcid

Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

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

Representative Publications

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1 October 2019 in Journal of Investigative Dermatology
Verified
Journal Article
Closed access
TCTingting Cui
Tingting Cui
WZWeigang Zhang
Weigang Zhang
SLShuli Li
Shuli Li
XCXuguang Chen
Xuguang Chen
YCYuqian Chang
Yuqian Chang
CLChunying Li
Chunying Li

1 June 2022 in Journal of Investigative Dermatology
Verified
Journal Article
Closed access
TCTingting Cui
Tingting Cui
YWYinghan Wang
Yinghan Wang
PSPu Song
Pu Song
XYXiuli Yi
Xiuli Yi
JCJiaxi Chen
Jiaxi Chen
CLChunying Li
Chunying Li

1 December 2021 in Journal of Investigative Dermatology
Verified
Journal Article
Closed access
BLBowei Li
Bowei Li
XYXiuli Yi
Xiuli Yi
TZTongtian Zhuang
Tongtian Zhuang
SZShaolong Zhang
Shaolong Zhang
SLShuli Li
Shuli Li
LLLing Liu
Ling Liu

8 January 2024 in The Journal of Pathology
Verified
Journal Article
Closed access
PKPan Kang
Pan Kang
YWYinghan Wang
Yinghan Wang
JCJianru Chen
Jianru Chen
YCYuqian Chang
Yuqian Chang
WZWeigang Zhang
Weigang Zhang
CLChunying Li
Chunying Li

1 June 2012
Verified
Journal Article
Open access
KZKang Zhou
Kang Zhou
MGMeng Gui
Meng Gui
PLPinglan Li
Pinglan Li
SXShaohua Xing
Shaohua Xing
TCTingting Cui
Tingting Cui
ZPZhaohui Peng
Zhaohui Peng
Vibrio harveyi is considered as a causative agent of the systemic disease, vibriosis, which occurs in many biological fields. The effects of temperatures (12.9-27.1 °C) and water activity (NaCl% 0.6%-3.4%) on V. harveyi were investigated. The behavior and growth characteristics of V. harveyi was studied and modeled. Growth curves were fitted by using Gompertz and Baranyi models, and the Baranyi model showed a better fittness. Then, the maximum growth rates (μmax) and lag phase durations (LPD, λ) obtained from both Gompertz and Baranyi model were modeled as a combination function of temperature and water activity using the response surface and Arrhenius-Davey models for secondary model. The value of r(2), MSE, bias and accuracy factor suggest Baranyi model has better fitness than Gompertz model. Furthermore, validation of the developed models with independent data from ComBase also shown better interrelationship between observed and predicted growth parameter when using Baranyi model.

21 May 2025 in Journal of Translational Medicine
Verified
Journal Article
Open access
PDF file
NYNing Yang
Ning Yang
HZHao Zhang
Hao Zhang
YZYuheng Zhang
Yuheng Zhang
BLBin Lin
Bin Lin
RHRong Huang
Rong Huang
XLXueyong Li
Xueyong Li
It has been established that inflammatory factors are involved in the formation of pathological scars. Therefore, pathological scars are regarded to be highly associated with chronic inflammation, whereas what factors contribute to this inflammation remains unclear. To confirm that bacterial colonization is involved in the formation of pathological scars, and to reveal that the persistent inflammatory response mediated by macrophages due to bacterial colonization promotes scar formation. This study included 23 normal skin controls and 58 untreated pathological scar samples. To detect the presence of bacteria in surgically-excised scar samples and alterations of histology, as well as bacteria-associated gene levels, histological staining, immunoelectron microscopy, microbiological and cell culture and molecular biology detection methods were employed. The PICRUSt2 tool and BugBase were employed to identify pathways, genes, and phenotypic differences. We found that in pathological scars, bacteria were widely distributed both extracellularly and intracellularly, with intracellular bacteria primarily located in the cytoplasm of macrophages and fibroblasts. A total of 2,260 bacterial species were detected in pathological scars, primarily from the Clostridiales, Burkholderiales, Actinomycetales, and Bacteroidales orders. Moreover, the pathogenicity and motility of colonizing bacteria were positively correlated with the degree of scar hyperplasia and invasiveness. The lysates of four clinically-relevant bacterial species had differential effects on the secretion of inflammatory cytokines from macrophages. When treated macrophage supernatant was added to fibroblasts, collagen secretion was dysregulated, and fibroblast differentiation into myofibroblasts prominently increased. In rat scar model, the expression of inflammatory factors and growth factors in the scar tissue was increased, which activated the TGF-β/Smad signaling pathway, resulting in the increasing of α-SMA. Persistent activation of macrophages by tissue-colonizing bacteria may be a key factor in promoting inflammatory response and dysregulated collagen deposition in pathological scars, offering a potential new strategy for preventing and treating pathological scars.