1.Research progress on prevention and treatment of hepatocellular carcinoma with traditional Chinese medicine based on gut microbiota.
Rui REN ; Xing YANG ; Ping-Ping REN ; Qian BI ; Bing-Zhao DU ; Qing-Yan ZHANG ; Xue-Han WANG ; Zhong-Qi JIANG ; Jin-Xiao LIANG ; Ming-Yi SHAO
China Journal of Chinese Materia Medica 2025;50(15):4190-4200
Hepatocellular carcinoma(HCC), the third leading cause of cancer-related death worldwide, is characterized by high mortality and recurrence rates. Common treatments include hepatectomy, liver transplantation, ablation therapy, interventional therapy, radiotherapy, systemic therapy, and traditional Chinese medicine(TCM). While exhibiting specific advantages, these approaches are associated with varying degrees of adverse effects. To alleviate patients' suffering and burdens, it is crucial to explore additional treatments and elucidate the pathogenesis of HCC, laying a foundation for the development of new TCM-based drugs. With emerging research on gut microbiota, it has been revealed that microbiota plays a vital role in the development of HCC by influencing intestinal barrier function, microbial metabolites, and immune regulation. TCM, with its multi-component, multi-target, and multi-pathway characteristics, has been increasingly recognized as a vital therapeutic treatment for HCC, particularly in patients at intermediate or advanced stages, by prolonging survival and improving quality of life. Recent global studies demonstrate that TCM exerts anti-HCC effects by modulating gut microbiota, restoring intestinal barrier function, regulating microbial composition and its metabolites, suppressing inflammation, and enhancing immune responses, thereby inhibiting the malignant phenotype of HCC. This review aims to elucidate the mechanisms by which gut microbiota contributes to the development and progression of HCC and highlight the regulatory effects of TCM, addressing the current gap in systematic understanding of the "TCM-gut microbiota-HCC" axis. The findings provide theoretical support for integrating TCM with western medicine in HCC treatment and promote the transition from basic research to precision clinical therapy through microbiota-targeted drug development and TCM-based interventions.
Humans
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Gastrointestinal Microbiome/drug effects*
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Carcinoma, Hepatocellular/microbiology*
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Liver Neoplasms/microbiology*
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Drugs, Chinese Herbal/administration & dosage*
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Animals
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Medicine, Chinese Traditional
2.Guideline for Adult Weight Management in China
Weiqing WANG ; Qin WAN ; Jianhua MA ; Guang WANG ; Yufan WANG ; Guixia WANG ; Yongquan SHI ; Tingjun YE ; Xiaoguang SHI ; Jian KUANG ; Bo FENG ; Xiuyan FENG ; Guang NING ; Yiming MU ; Hongyu KUANG ; Xiaoping XING ; Chunli PIAO ; Xingbo CHENG ; Zhifeng CHENG ; Yufang BI ; Yan BI ; Wenshan LYU ; Dalong ZHU ; Cuiyan ZHU ; Wei ZHU ; Fei HUA ; Fei XIANG ; Shuang YAN ; Zilin SUN ; Yadong SUN ; Liqin SUN ; Luying SUN ; Li YAN ; Yanbing LI ; Hong LI ; Shu LI ; Ling LI ; Yiming LI ; Chenzhong LI ; Hua YANG ; Jinkui YANG ; Ling YANG ; Ying YANG ; Tao YANG ; Xiao YANG ; Xinhua XIAO ; Dan WU ; Jinsong KUANG ; Lanjie HE ; Wei GU ; Jie SHEN ; Yongfeng SONG ; Qiao ZHANG ; Hong ZHANG ; Yuwei ZHANG ; Junqing ZHANG ; Xianfeng ZHANG ; Miao ZHANG ; Yifei ZHANG ; Yingli LU ; Hong CHEN ; Li CHEN ; Bing CHEN ; Shihong CHEN ; Guiyan CHEN ; Haibing CHEN ; Lei CHEN ; Yanyan CHEN ; Genben CHEN ; Yikun ZHOU ; Xianghai ZHOU ; Qiang ZHOU ; Jiaqiang ZHOU ; Hongting ZHENG ; Zhongyan SHAN ; Jiajun ZHAO ; Dong ZHAO ; Ji HU ; Jiang HU ; Xinguo HOU ; Bimin SHI ; Tianpei HONG ; Mingxia YUAN ; Weibo XIA ; Xuejiang GU ; Yong XU ; Shuguang PANG ; Tianshu GAO ; Zuhua GAO ; Xiaohui GUO ; Hongyi CAO ; Mingfeng CAO ; Xiaopei CAO ; Jing MA ; Bin LU ; Zhen LIANG ; Jun LIANG ; Min LONG ; Yongde PENG ; Jin LU ; Hongyun LU ; Yan LU ; Chunping ZENG ; Binhong WEN ; Xueyong LOU ; Qingbo GUAN ; Lin LIAO ; Xin LIAO ; Ping XIONG ; Yaoming XUE
Chinese Journal of Endocrinology and Metabolism 2025;41(11):891-907
Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.
3.18F-flortaucipir tau PET combined with APOE ε4 genotype for diagnosing mild cognitive impairment
Shaozhen YAN ; Zhigeng CHEN ; Sheng BI ; Yujie HE ; Hanxiao XUE ; Xiaoyin XU ; Zhigang QI ; Yong LIU ; Jie LU
Chinese Journal of Medical Imaging Technology 2025;41(2):191-195
Objective To explore the value of 18F-flortaucipir tau PET combined with APOE ε4 genotype status for diagnosing mild cognitive impairment(MCI).Methods A total of 213 MCI patients(MCI group)and 402 healthy controls(HC group)were selected from Alzheimer's disease neuroimaging initiative(ADNI)database.The neuropsychological information,APOE ε4 gene carrier status,tau PET and high-resolution structural MRI data were recorded.The random forest algorithm was used to screen the most informative brain regions of tau PET for diagnosing MCI,and the efficacy of tau PET for distinguishing MCI with or without APOE ε4 gene and HC were compared.Results Amygdala,parahippocampal gyrus,entorhinal cortex,posterior cingulate gyrus,inferior temporal gyrus,fusiform gyrus and middle temporal gyrus in turn were the important brain regions of tau PET for diagnosing MCI.The accuracy and the area under the curve(AUC)of tau PET standardized uptake value ratio(SUVR)model for identifying MCI with APOE ε4 gene and HC was 86.68%and 0.784,respectively,both higher than those for identifying MCI and HC,as well as MCI without APOE e4 gene and HC(with accuracy of 70.57%and 75.05%,and AUC of 0.711 and 0.609).Conclusion 18F-flortaucipir tau PET SUVR model established based on amygdala,parahippocampal gyrus,entorhinal cortex,posterior cingulate gyrus,inferior temporal gyrus,fusiform gyrus and middle temporal gyrus could be used to diagnosing MCI.Combining with APOE ε4 gene could further improve its efficacy.
4.Correlations of functional connectivity and glucose metabolism of insular subregions with cognitive function in behavior variant of frontotemporal dementia patients
Sheng BI ; Zhigeng CHEN ; Yujie HE ; Hanxiao XUE ; Zhigang QI ; Jie MA ; Hongwei YANG ; Liyong WU ; Shaozhen YAN ; Jie LU
Chinese Journal of Medical Imaging Technology 2025;41(2):196-202
Objective To observe the functional connectivity and glucose metabolism of insular subregions in behavior variant of frontotemporal dementia(bvFTD)patients,also their correlations with cognitive function.Methods Thirty-eight bvFTD patients(bvFTD group)and 44 healthy individuals(control group)were retrospectively enrolled.The average time series signals of insular subregions were extracted as seed points based on functional MRI(fMRI)and 18F-FDG PET,then whole brain functional connectivity map was obtained.Meanwhile,the pons was selected as the reference brain region,and the standard uptake value ratio(SUVR)of insular subregions were calculated.The above parameters were compared between groups,and the correlations of SUVR of insular subregions with clinical cognitive function scale scores in bvFTD group were analyzed.Results Compared with control group,the functional connections between all insular subregions and bilateral frontal lobe,temporal lobe,anterior cingulate gyrus,anterior cingulate gyrus and middle cingulate gyrus,as well as between some subregions and bilateral parietal and occipital lobes were weakened in bvFTD group(GRF correction,voxel level all P<0.001,cluster level all P<0.05).SUVR of all insular subregions significantly decreased(GRF correction,voxel level all P<0.001,cluster level all P<0.05),which in right ventral agranular insula(vIa),dorsal agranular insula(dIa),dorsal dysgranular insula(dId)and left dorsal agranular insula(dIa)were negatively correlated with frontal behavioral inventory(FBI)score in bvFTD group(r=-0.452--0.330,all P<0.05).Conclusion In bvFTD patients,the functional connectivity and glucose metabolism of insular subregions changed,and SUVR of right vIa,dIa,dId and left dIa were negatively correlated with FBI score.
5.Quality evaluation of Chuanxiong Chatiao Pills based on UPLC fingerprints,chemometrics and content determination
Zhuo XUE ; Hui-yong LI ; Huan CAO ; Xue-yan BI
Chinese Traditional Patent Medicine 2025;47(6):1773-1781
AIM To evaluate the quality of Chuanxiong Chatiao Pills.METHODS The UPLC fingerprints were established,after which hierarchical cluster analysis,principal component analysis,orthogonal partial least squares discriminant analysis were performed,the contents of cimifugin,ferulic acid,liquiritin,nodakenin,senkyunolide Ⅰ,5-O-methylvisamminol,rosmarinic acid,ammonium glycyrrhizinate,imperatorin and isoimperatorin were determined.RESULTS There were 18 common peaks in the fingerprints for 44 batches of samples with the similarities of 0.75-1.00.Various batches of samples were clustered into 2 catagories,3 principal components demonstrated the accumulative variance contribution rate of 87.1%,5 quality difference markers were screened.Ten constituents showed good linear relationships within their own ranges(r≥0.999 3),whose average recoveries were 90.22%-105.30%with the RSDs of 0.66%-1.98%,whose content ranges were 0.070-0.438,0.147-0.529,0.052-0.444,1.228-6.934,0.016-0.545,0.049-1.554,0.018-0.415,0.382-2.187,0.568-3.700,0.069-0.996 mg/g,respectively.CONCLUSION This accurate,reliable and specific method can provide scientific evidence for the quality control and standardization of Chuanxiong Chatiao Pills.
6.Change patterns of functional connectivity of basal forebrain subregions in Alzheimer disease patients
Yujie HE ; Shaozhen YAN ; Zhigeng CHEN ; Sheng BI ; Hanxiao XUE ; Bixiao CUI ; Jie MA ; Jie LU
Chinese Journal of Medical Imaging Technology 2025;41(5):701-705
Objective To observe the change patterns of functional connectivity(FC)of basal forebrain subregions in Alzheimer disease(AD)patients.Methods Totally 42 AD patients(AD group)and 41 healthy controls(HC group)were retrospectively enrolled.Seed-based FC analysis was performed on basal forebrain subregions(Ch123 and Ch4)based on their resting-state functional MRI data and compared between groups.Results Compared with HC group,FC between left Ch4 and left hippocampus as well as left posterior cingulate gyrus significantly decreased,but between right Ch4 and right precentral gyrus,as well as right postcentral gyrus increased in AD group(GRF correction,voxel level P<0.001,cluster level P<0.05).Meanwhile,FC between left Ch123 and left superior temporal gyrus,left insula,between right Ch123 and left superior temporal gyrus,left temporal pole significantly increased,while between right Ch123 and right orbital superior frontal gyrus,right orbital inferior frontal gyrus significantly decreased in AD group(GRF correction,voxel level P<0.001,cluster level P<0.05).Conclusion FC changes of different basal forebrain subregions in AD patients were various.
7.18F-flortaucipir tau PET combined with APOE ε4 genotype for diagnosing mild cognitive impairment
Shaozhen YAN ; Zhigeng CHEN ; Sheng BI ; Yujie HE ; Hanxiao XUE ; Xiaoyin XU ; Zhigang QI ; Yong LIU ; Jie LU
Chinese Journal of Medical Imaging Technology 2025;41(2):191-195
Objective To explore the value of 18F-flortaucipir tau PET combined with APOE ε4 genotype status for diagnosing mild cognitive impairment(MCI).Methods A total of 213 MCI patients(MCI group)and 402 healthy controls(HC group)were selected from Alzheimer's disease neuroimaging initiative(ADNI)database.The neuropsychological information,APOE ε4 gene carrier status,tau PET and high-resolution structural MRI data were recorded.The random forest algorithm was used to screen the most informative brain regions of tau PET for diagnosing MCI,and the efficacy of tau PET for distinguishing MCI with or without APOE ε4 gene and HC were compared.Results Amygdala,parahippocampal gyrus,entorhinal cortex,posterior cingulate gyrus,inferior temporal gyrus,fusiform gyrus and middle temporal gyrus in turn were the important brain regions of tau PET for diagnosing MCI.The accuracy and the area under the curve(AUC)of tau PET standardized uptake value ratio(SUVR)model for identifying MCI with APOE ε4 gene and HC was 86.68%and 0.784,respectively,both higher than those for identifying MCI and HC,as well as MCI without APOE e4 gene and HC(with accuracy of 70.57%and 75.05%,and AUC of 0.711 and 0.609).Conclusion 18F-flortaucipir tau PET SUVR model established based on amygdala,parahippocampal gyrus,entorhinal cortex,posterior cingulate gyrus,inferior temporal gyrus,fusiform gyrus and middle temporal gyrus could be used to diagnosing MCI.Combining with APOE ε4 gene could further improve its efficacy.
8.Correlations of functional connectivity and glucose metabolism of insular subregions with cognitive function in behavior variant of frontotemporal dementia patients
Sheng BI ; Zhigeng CHEN ; Yujie HE ; Hanxiao XUE ; Zhigang QI ; Jie MA ; Hongwei YANG ; Liyong WU ; Shaozhen YAN ; Jie LU
Chinese Journal of Medical Imaging Technology 2025;41(2):196-202
Objective To observe the functional connectivity and glucose metabolism of insular subregions in behavior variant of frontotemporal dementia(bvFTD)patients,also their correlations with cognitive function.Methods Thirty-eight bvFTD patients(bvFTD group)and 44 healthy individuals(control group)were retrospectively enrolled.The average time series signals of insular subregions were extracted as seed points based on functional MRI(fMRI)and 18F-FDG PET,then whole brain functional connectivity map was obtained.Meanwhile,the pons was selected as the reference brain region,and the standard uptake value ratio(SUVR)of insular subregions were calculated.The above parameters were compared between groups,and the correlations of SUVR of insular subregions with clinical cognitive function scale scores in bvFTD group were analyzed.Results Compared with control group,the functional connections between all insular subregions and bilateral frontal lobe,temporal lobe,anterior cingulate gyrus,anterior cingulate gyrus and middle cingulate gyrus,as well as between some subregions and bilateral parietal and occipital lobes were weakened in bvFTD group(GRF correction,voxel level all P<0.001,cluster level all P<0.05).SUVR of all insular subregions significantly decreased(GRF correction,voxel level all P<0.001,cluster level all P<0.05),which in right ventral agranular insula(vIa),dorsal agranular insula(dIa),dorsal dysgranular insula(dId)and left dorsal agranular insula(dIa)were negatively correlated with frontal behavioral inventory(FBI)score in bvFTD group(r=-0.452--0.330,all P<0.05).Conclusion In bvFTD patients,the functional connectivity and glucose metabolism of insular subregions changed,and SUVR of right vIa,dIa,dId and left dIa were negatively correlated with FBI score.
9.Quality evaluation of Chuanxiong Chatiao Pills based on UPLC fingerprints,chemometrics and content determination
Zhuo XUE ; Hui-yong LI ; Huan CAO ; Xue-yan BI
Chinese Traditional Patent Medicine 2025;47(6):1773-1781
AIM To evaluate the quality of Chuanxiong Chatiao Pills.METHODS The UPLC fingerprints were established,after which hierarchical cluster analysis,principal component analysis,orthogonal partial least squares discriminant analysis were performed,the contents of cimifugin,ferulic acid,liquiritin,nodakenin,senkyunolide Ⅰ,5-O-methylvisamminol,rosmarinic acid,ammonium glycyrrhizinate,imperatorin and isoimperatorin were determined.RESULTS There were 18 common peaks in the fingerprints for 44 batches of samples with the similarities of 0.75-1.00.Various batches of samples were clustered into 2 catagories,3 principal components demonstrated the accumulative variance contribution rate of 87.1%,5 quality difference markers were screened.Ten constituents showed good linear relationships within their own ranges(r≥0.999 3),whose average recoveries were 90.22%-105.30%with the RSDs of 0.66%-1.98%,whose content ranges were 0.070-0.438,0.147-0.529,0.052-0.444,1.228-6.934,0.016-0.545,0.049-1.554,0.018-0.415,0.382-2.187,0.568-3.700,0.069-0.996 mg/g,respectively.CONCLUSION This accurate,reliable and specific method can provide scientific evidence for the quality control and standardization of Chuanxiong Chatiao Pills.
10.Change patterns of functional connectivity of basal forebrain subregions in Alzheimer disease patients
Yujie HE ; Shaozhen YAN ; Zhigeng CHEN ; Sheng BI ; Hanxiao XUE ; Bixiao CUI ; Jie MA ; Jie LU
Chinese Journal of Medical Imaging Technology 2025;41(5):701-705
Objective To observe the change patterns of functional connectivity(FC)of basal forebrain subregions in Alzheimer disease(AD)patients.Methods Totally 42 AD patients(AD group)and 41 healthy controls(HC group)were retrospectively enrolled.Seed-based FC analysis was performed on basal forebrain subregions(Ch123 and Ch4)based on their resting-state functional MRI data and compared between groups.Results Compared with HC group,FC between left Ch4 and left hippocampus as well as left posterior cingulate gyrus significantly decreased,but between right Ch4 and right precentral gyrus,as well as right postcentral gyrus increased in AD group(GRF correction,voxel level P<0.001,cluster level P<0.05).Meanwhile,FC between left Ch123 and left superior temporal gyrus,left insula,between right Ch123 and left superior temporal gyrus,left temporal pole significantly increased,while between right Ch123 and right orbital superior frontal gyrus,right orbital inferior frontal gyrus significantly decreased in AD group(GRF correction,voxel level P<0.001,cluster level P<0.05).Conclusion FC changes of different basal forebrain subregions in AD patients were various.

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