1.Research progress of RNA m 6A modification in breast cancer
Junlong GUO ; Ruiqi ZOU ; Shaoqiang CHEN ; Yuxin LIANG ; Jing LI ; Sunan YONG ; Yuting HE ; Xiaobing XIE ; Ping LI
Journal of International Oncology 2025;52(8):532-537
Breast cancer is one of the most common malignant tumors among women worldwide, with an increasing incidence rate year by year, making it a significant public health concern. With the continuous advancement of tumor biology research, N 6-methyladenosine (m 6A) modification, as an important form of RNA modification, has attracted growing attention. The m 6A modification, the most prevalent RNA modification in eukaryotes, occurs in almost all types of RNA and plays a critical role in the occurrence, progression, and metastasis of breast cancer. It influences cell proliferation, apoptosis, and alterations in the tumor microenvironment, though the specific mechanisms underlying these effects require further in-depth investigation. Moreover, the specific patterns of m 6A modification demonstrate its potential as a novel biomarker for breast cancer, which could provide new directions for early diagnosis and prognosis evaluation.
2.Magnetic resonance imaging study on gray matter volume and abnormal functional connectivity in patients with neuropsychiatric systemic lupus erythematosus
Yifan LI ; Tianyi ZHU ; Hongmei ZOU ; Ruiqi QIN ; Jianguo XIA ; Jianfeng HU ; Ji ZHANG ; Weizhong TIAN
Chinese Journal of Neuromedicine 2024;23(11):1120-1128
Objective:To explore the pathogenesis of neuropsychiatric systemic lupus erythematosus (NPSLE) from imaging perspective by analyzing voxel-based morphology (VBM) and functional connectivity (FC) in resting state functional magnetic resonance imaging (rs-fMRI).Methods:Thirty-five patients with NPSLE and 30 patients with non-NPSLE admitted to Department of Rheumatology and Immunology, Taizhou People's Hospital Affiliated to Nanjing Medical University from June 2020 to March 2023 were enrolled; 31 healthy subjects were included as healthy control group during the same period. All subjects completed routine MRI and rs-fMRI, laboratory tests (C3, C4, IgA, IgM and IgG levels), mini-mental state examination (MMSE), hospital anxiety and depression scale (HADS), and fatigue scale for motor and cognitive functions (FSMC). Whole brain gray matter volume in subjects of the 3 groups was analyzed by VBM method, and the brain regions enjoying significant differences in gray matter volume between the NPSLE group and non-NPSLE group were selected as regions of interest (ROIs) for whole brain FC analysis. Partial correlation method was used to analyze the correlations of imaging indexes in brain regions enjoying significant differences with clinical indexes and imaging scores between NPSLE group and non-NPSLE group. Efficacy of imaging indexes in brain regions enjoying significant difference in differentiating NPSLE from non-NPSLE was analyzed by receiver operating characteristic (ROC) curve.Results:(1) Covariance analysis among the 3 groups showed that the gray matter volume in the left inferior frontal gyrus of orbit, left superior frontal gyrus, right rectus gyrus, right transverse temporal gyrus, and right superior frontal gyrus was significantly different among the 3 groups ( P<0.001, FDR corrected); compared with the healthy control group, the NPSLE group had significantly reduced gray matter volume in the left inferior frontal gyrus of orbit, left superior frontal gyrus of orbit, right rectus gyrus, right transverse temporal gyrus, and right superior frontal gyrus ( P<0.001, FDR corrected); compared with the non-NPSLE group, the NPSLE group had significantly decreased gray matter volume in the left inferior frontal gyrus of orbit, right rectus gyrus, and right transverse temporal gyrus ( P<0.001, FDR corrected). (2) Whole brain FC analysis with brain regions enjoying significant differences as seed points showed that Fisher z-transformed FC (zFC) in the right transverse temporal gyrus and bilateral postcentral gyrus of the NPSLE group were significantly decreased ( P<0.001, FDR corrected). (3) Partial correlation analysis showed that, in the NPSLE group, zFC from the right transverse temporal gyrus to left posterior central gyrus was negatively correlated with disease course ( r=-0.390, P=0.027); gray matter volume in the right orbital superior frontal gyrus was negatively correlated with FSMC-cognitive ( r=-0.401, P=0.023); the gray matter volume in the right orbital superior frontal gyrus was negatively correlated with FSMC-motor ( r=-0.374, P=0.035). (4) ROC curve found that gray matter volume in the right rectus gyrus and zFC from the right transverse temporal gyrus to the right posterior central gyrus had relatively high efficacy in differentiating NPSLE from non-NPSLE, with AUC of 0.771 (95% CI: 0.658-0.885, P<0.001) and 0.794 (95% CI: 0.685-0.904, P<0.001), respectively. Conclusion:NPSLE patients have reduced gray matter volume in multiple brain regions (concentrating in the prefrontal limbic system); and reduced FC with some brain regions is noted; multiple indexes are correlated with clinical indexes.
3.Study on Correlation between Color and HPLC Fingerprint of Glycyrrhizae Radix et Rhizoma
Huirong CHEN ; Xianglong LIN ; Ruiqi YANG ; Guangzhao CAO ; Yonghong YAN ; Huiqin ZOU
World Science and Technology-Modernization of Traditional Chinese Medicine 2018;20(6):935-940
Glycyrrhizae Radix et Rhizoma is one of the traditional herbal medicine used in China, study on the correlation between the cross-section color and HPLC fingerprints of them have important significance for promoting the development of traditional disciplines. Quantitative analysis of the color of sample cross section was carried out by color digital method, fingerprint analysis was carried out by HPLC, and the canonical correlation analysis was carried out between them. The results showed that there was a significant correlation between the color of Glycyrrhizae Radix et Rhizoma cross section and the information of HPLC fingerprinting. Results indicated that, The digitized indexes of color of cross section could reflect the result of fingerprint analysis to some extent.
4.Quality Evaluation of Radix et Rhizoma Rhei Based on Gray Correlational Analysis and Functional Components
Jianting GONG ; Li LI ; Huiqin ZOU ; Jinxia ZHANG ; Dong XU ; Kechen MAO ; Huirong CHEN ; Mingming ZHANG ; Ruiqi YANG
World Science and Technology-Modernization of Traditional Chinese Medicine 2018;20(10):1808-1815
Objective: To comprehensively evaluate the quality of Radix et Rhizoma Rhei based on gray correlationalanalysis and functional components, and to explore the difference of Radix et Rhizoma Rhei in different genuineproducing areas. Methods: HPLC was utilized to analyze 14 main compositions contained in the samples, includingemodin, rhein, chrysophanol, aloe-emodin, physcion, rheinoside, physcion glucoside, chrysophan, aloe-emodinglucoside, emodin methyl glycoside, sennoside, sennoside B, catechin and gallic acid. Then python 2.7 software wasemployed for gray correlation analysis of functional components closely related to the traditional efficacy of Radix et Rhizoma Rhei. Results: The qualities of Radix et Rhizoma Rhei grow in different areas were different. Tanggute Radix et Rhizoma Rhei grew in Tianzhu Gansu had the best effects of "expelling water retention and attacking the accumulation", and that grew in Yajiang Sichuan had the best effects of "clearing heat and removing toxin". Zhangye Radix et Rhizoma Rhei grew in Lixian Gansu had the best effect of"expelling stasis and unblocking the channels". Conclusion: Patternrecognition has broad prospects in the field of quality evaluation of traditional Chinese medicine. From the clinicalefficacy of traditional Chinese medicine, pattern recognition at the level of efficacy components can provide a new ideafor establishing a more complete and scientific quality evaluation system for traditional Chinese medicine.

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