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Lu JJ, Ma J, Wu JJ, Zhen XM, Xiang YT, Lu HY, Zheng MX, Hua XY, Xu JG. Tongue coating-dependent superior temporal sulcus remodeling in amnestic mild cognitive impairment. Brain Res Bull 2024; 214:110995. [PMID: 38844172 DOI: 10.1016/j.brainresbull.2024.110995] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2024] [Revised: 04/23/2024] [Accepted: 06/01/2024] [Indexed: 06/10/2024]
Abstract
Tongue coating affects cognition, and cognitive decline at early stage also showed relations to functional and structural remodeling of superior temporal sulcus (STS) in amnestic mild cognitive impairment (aMCI). The potential correlation between disparate cognitive manifestations in aMCI patients with different tongue coatings, and corresponding mechanisms of STS remodeling remains uncharted. In this case-control study, aMCI patients were divided into thin coating (n = 18) and thick coating (n = 21) groups. All participants underwent neuropsychological evaluations and multimodal magnetic resonance imaging. Group comparisons were conducted in clinical assessments and neuroimaging measures of banks of the STS (bankssts). Generalized linear models were constructed to explore relationships between neuroimaging measures and cognition. aMCI patients in the thick coating group exhibited significantly poorer immediate and delayed recall and slower information processing speed (IPS) (P < 0.05), and decreased functional connectivity (FC) of bilateral bankssts with frontoparietal cortices (P < 0.05, AlphaSim corrected) compared to the thin coating group. It was found notable correlations between cognition encompassing recall and IPS, and FC of bilateral bankssts with frontoparietal cortices (P < 0.05, Bonferroni's correction), as well as interaction effects of group × regional homogeneity (ReHo) of right bankssts on the first immediate recall (P < 0.05, Bonferroni's correction). aMCI patients with thick coating exhibited poor cognitive performance, which might be attributed to decreased FC seeding from bankssts. Our findings strengthen the understanding of brain reorganization of STS via which tongue coating status impacts cognition in patients with aMCI.
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Affiliation(s)
- Juan-Juan Lu
- School of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Jie Ma
- Department of Rehabilitation Medicine, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Jia-Jia Wu
- Department of Rehabilitation Medicine, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Xiao-Min Zhen
- Department of Neurology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Yun-Ting Xiang
- School of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Hao-Yu Lu
- School of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Mou-Xiong Zheng
- Department of Traumatology and Orthopedics, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
| | - Xu-Yun Hua
- Department of Traumatology and Orthopedics, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
| | - Jian-Guang Xu
- School of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai, China; Department of Rehabilitation Medicine, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China; Engineering Research Center of Traditional Chinese Medicine Intelligent Rehabilitation, Ministry of Education, Shanghai, China.
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2
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Tian Z, Sun X, Wang D, Wang H. Association between color value of tongue and T2DM based on dose-response analyses using restricted cubic splines in China: A cross-sectional study. Medicine (Baltimore) 2024; 103:e38575. [PMID: 38905430 PMCID: PMC11191990 DOI: 10.1097/md.0000000000038575] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Accepted: 05/23/2024] [Indexed: 06/23/2024] Open
Abstract
This study aimed to explore the relationship between international commission on illumination (CIE) L*a*b* color value of tongue and type 2 diabetes mellitus (T2DM). We used restricted cubic spline method and logistic regression method to assess the relationship between CIE L*a*b* color value of tongue and T2DM. A total of 2439 participants (991 T2DM and 1448 healthy) were included. A questionnaire survey and tongue images obtained with tongue diagnosis analysis-1 were analyzed. As required, chi-square and t tests were applied to compare the T2DM and healthy categories. Our findings suggest the 95% confidence interval and odds ratio for body mass index, hypertension, and age were 0.670 (0.531-0.845), 13.461 (10.663-16.993), and 2.595 (2.324-2.897), respectively, when compared to the healthy group. A linear dose-response relationship with an inverse U-shape was determined between CIE L* and CIE a* values and T2DM (P < .001 for overall and P < .001 for nonlinear). Furthermore, U-shaped and linear dose-response associations were identified between T2DM and CIE b* values (P = .0160 for nonlinear). Additionally, in adults, the CIE L*a*b* color value had a correlation with T2DM. This novel perspective provides a multidimensional understanding of traditional Chinese medicine tongue color, elucidating the potential of CIE L*a*b* color values of tongue in the diagnosis of T2DM.
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Affiliation(s)
- Zhikui Tian
- School of Rehabilitation Medicine, Qilu Medical University, Zibo, China
| | - Xuan Sun
- School of Health Sciences and Engineering, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Dongjun Wang
- College of Traditional Chinese Medicine, North China University of Science and Technology, Tangshan, China
| | - Hongwu Wang
- School of Health Sciences and Engineering, Tianjin University of Traditional Chinese Medicine, Tianjin, China
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3
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Dai S, Guo X, Liu S, Tu L, Hu X, Cui J, Ruan Q, Tan X, Lu H, Jiang T, Xu J. Application of intelligent tongue image analysis in Conjunction with microbiomes in the diagnosis of MAFLD. Heliyon 2024; 10:e29269. [PMID: 38617943 PMCID: PMC11015139 DOI: 10.1016/j.heliyon.2024.e29269] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Revised: 03/22/2024] [Accepted: 04/03/2024] [Indexed: 04/16/2024] Open
Abstract
Background Metabolic associated fatty liver disease (MAFLD) is a widespread liver disease that can lead to liver fibrosis and cirrhosis. Therefore, it is essential to develop early diagnosic and screening methods. Methods We performed a cross-sectional observational study. In this study, based on data from 92 patients with MAFLD and 74 healthy individuals, we observed the characteristics of tongue images, tongue coating and intestinal flora. A generative adversarial network was used to extract tongue image features, and 16S rRNA sequencing was performed using the tongue coating and intestinal flora. We then applied tongue image analysis technology combined with microbiome technology to obtain an MAFLD early screening model with higher accuracy. In addition, we compared different modelling methods, including Extreme Gradient Boosting (XGBoost), random forest, neural networks(MLP), stochastic gradient descent(SGD), and support vector machine(SVM). Results The results show that tongue-coating Streptococcus and Rothia, intestinal Blautia, and Streptococcus are potential biomarkers for MAFLD. The diagnostic model jointly incorporating tongue image features, basic information (gender, age, BMI), and tongue coating marker flora (Streptococcus, Rothia), can have an accuracy of 96.39%, higher than the accuracy value except for bacteria. Conclusion Combining computer-intelligent tongue diagnosis with microbiome technology enhances MAFLD diagnostic accuracy and provides a convenient early screening reference.
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Affiliation(s)
- Shixuan Dai
- Department of College of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, 1200 Road, Shanghai, 201203, China
| | - Xiaojing Guo
- Department of Anesthesiology, Naval Medical University, No. 800, Xiangyin Road, Shanghai,200433, China
| | - Shi Liu
- Department of College of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, 1200 Road, Shanghai, 201203, China
| | - Liping Tu
- Department of College of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, 1200 Road, Shanghai, 201203, China
| | - Xiaojuan Hu
- Department of College of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, 1200 Road, Shanghai, 201203, China
| | - Ji Cui
- Department of College of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, 1200 Road, Shanghai, 201203, China
| | - QunSheng Ruan
- Department of Software, Xiamen University, No. 422, Siming South Road, Siming District, Xiamen City, Fujian Province, 361005, China
| | - Xin Tan
- Department of Computer Science and Technology, East China Normal University, No. 3663, Zhongshan North Road, Shanghai, 200062, China
| | - Hao Lu
- Department of Endocrinology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, No. 528, Zhangheng Road, Shanghai,200021, China
| | - Tao Jiang
- Department of College of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, 1200 Road, Shanghai, 201203, China
| | - Jiatuo Xu
- Department of College of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, 1200 Road, Shanghai, 201203, China
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Zhang F, Liu F, Xu X, Su W, Rong Y, Tian FY, Xiao W, Wu Y, Law KP, Wen P. Metabolomic profiling of serum and tongue coating of pregnant women with intrahepatic cholestasis in pregnancy. Clin Chim Acta 2024; 557:117854. [PMID: 38513931 DOI: 10.1016/j.cca.2024.117854] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 02/08/2024] [Accepted: 03/03/2024] [Indexed: 03/23/2024]
Abstract
Intrahepatic cholestasis of pregnancy (ICP) is associated with an increased risk of cesarean section and adverse fetal outcomes. Currently, ICP diagnosis depends largely on serum levels of bile acids and lacks sensitivity and specificity for accurate diagnosis. Tongue diagnosis is an important diagnostic tool in traditional Chinese medicine (TCM) and is used in our clinic as complementary treatment and personalized medicine for ICP. However, the molecular basis of the manifestation of greasy white tongue coatings in ICP remains unknown. In this study, we performed untargeted metabolomic profiling of the serum, tongue coating, and saliva of 66 pregnant women, including 22 with ICP. The metabolomic profiles of the serum and tongue coatings showed marked differences between the two clinical groups. Forty-six differentially abundant metabolites were identified, and their relative concentrations correlated with total bile acid levels. These differential metabolites included bile acids, lipids, microbiota- and diet-related metabolites, and exposomes. Conventional biochemical markers, including serum aminotransferases and bilirubin, were not significantly increased in the ICP group, whereas the total cholesterol and triglyceride levels were significantly increased as early as the first trimester. Our data provide insights into the pathophysiology of ICP and implicate the gut-liver axis and environmental exposure. Tongue coating has the potential to be a non-invasive diagnostic approach. Further studies are required to validate the clinical utility of these findings.
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Affiliation(s)
- Feng Zhang
- Division of Stomatology, Shenzhen Maternity and Child Healthcare Hospital, Shenzhen, China
| | - Fang Liu
- Division of Obstetrics & Gynecology, Shenzhen Maternity & Child Healthcare Hospital, Shenzhen, China
| | - Xiaoyi Xu
- Institute of Maternal and Child Medicine, Shenzhen Maternity & Child Healthcare Hospital, Shenzhen, China
| | - Weilan Su
- Division of Obstetrics & Gynecology, Shenzhen Maternity & Child Healthcare Hospital, Shenzhen, China
| | - Yu Rong
- Institute of Maternal and Child Medicine, Shenzhen Maternity & Child Healthcare Hospital, Shenzhen, China
| | - Fu-Ying Tian
- Division of Obstetrics & Gynecology, Shenzhen Maternity & Child Healthcare Hospital, Shenzhen, China
| | - Weimin Xiao
- Precision Medical Testing Research Center, Shenzhen Academy of Metrology & Quality Inspection, Shenzhen, Guangdong, China; Shenzhen SMQ Group Medical Laboratory, Shenzhen Academy of Metrology & Quality Inspection, Shenzhen, Guangdong, China
| | - Yichun Wu
- Precision Medical Testing Research Center, Shenzhen Academy of Metrology & Quality Inspection, Shenzhen, Guangdong, China; Shenzhen SMQ Group Medical Laboratory, Shenzhen Academy of Metrology & Quality Inspection, Shenzhen, Guangdong, China
| | - Kai P Law
- Shenzhen SMQ Group Medical Laboratory, Shenzhen Academy of Metrology & Quality Inspection, Shenzhen, Guangdong, China.
| | - Ping Wen
- Institute of Maternal and Child Medicine, Shenzhen Maternity & Child Healthcare Hospital, Shenzhen, China.
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Lee YH, Hong JY. Oral microbiome as a co-mediator of halitosis and periodontitis: a narrative review. FRONTIERS IN ORAL HEALTH 2023; 4:1229145. [PMID: 37719278 PMCID: PMC10500072 DOI: 10.3389/froh.2023.1229145] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Accepted: 08/18/2023] [Indexed: 09/19/2023] Open
Abstract
Objective Halitosis or oral malodor is an unpleasant odor from the oral cavity. However, although patients with periodontitis often complain of halitosis, their relationship has not been fully elucidated. We reviewed previous literature based on the hypothesis that the relationship between halitosis and periodontitis is mediated by the oral microbiome. Materials and methods This narrative review sought to provide insight into the causative role of the oral microbiome in influencing halitosis and periodontitis. In addition, we tried to deepen knowledge related to the relationship between halitosis and periodontitis generated by the oral microbiome accumulated over the past 40 years. Results From 1984 to 2023, a total of 106 papers that carefully and scientifically dealt with halitosis and periodontitis were included in this narrative review. Based on previous results, halitosis and periodontitis were closely related. For decades, researchers have taken an intriguing approach to the question of whether there is a relationship between halitosis and periodontitis. Central factors in the relationship between halitosis and periodontitis include volatile sulfur compounds (VSCs), the oral microbiota that produce VSCs, and the inflammatory response. Conclusions Taken together, the more severe periodontitis, the higher the level of VSC in halitosis, which may be mediated by oral microbiome. However, the relationship between the occurrence, maintenance, and exacerbation of periodontitis and halitosis is not a necessary and sufficient condition for each other because they are complex interplay even in one individual.
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Affiliation(s)
- Yeon-Hee Lee
- Department of Orofacial Pain and Oral Medicine, Kyung Hee University School of Dentistry, Kyung Hee University Medical Center, Seoul, Republic of Korea
| | - Ji-Youn Hong
- Department of Periodontology, Periodontal-Implant Clinical Research Institute, School of Dentistry, Kyung Hee University, Seoul, Republic of Korea
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Zhang Q, Yang M, Zhang P, Wu B, Wei X, Li S. Deciphering gastric inflammation-induced tumorigenesis through multi-omics data and AI methods. Cancer Biol Med 2023; 21:j.issn.2095-3941.2023.0129. [PMID: 37589244 PMCID: PMC11033716 DOI: 10.20892/j.issn.2095-3941.2023.0129] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Accepted: 06/26/2023] [Indexed: 08/18/2023] Open
Abstract
Gastric cancer (GC), the fifth most common cancer globally, remains the leading cause of cancer deaths worldwide. Inflammation-induced tumorigenesis is the predominant process in GC development; therefore, systematic research in this area should improve understanding of the biological mechanisms that initiate GC development and promote cancer hallmarks. Here, we summarize biological knowledge regarding gastric inflammation-induced tumorigenesis, and characterize the multi-omics data and systems biology methods for investigating GC development. Of note, we highlight pioneering studies in multi-omics data and state-of-the-art network-based algorithms used for dissecting the features of gastric inflammation-induced tumorigenesis, and we propose translational applications in early GC warning biomarkers and precise treatment strategies. This review offers integrative insights for GC research, with the goal of paving the way to novel paradigms for GC precision oncology and prevention.
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Affiliation(s)
- Qian Zhang
- Institute for TCM-X, MOE Key Laboratory of Bioinformatics, Bioinformatics Division, BNRIST, Department of Automation, Tsinghua University, Beijing 100084, China
| | - Mingran Yang
- Institute for TCM-X, MOE Key Laboratory of Bioinformatics, Bioinformatics Division, BNRIST, Department of Automation, Tsinghua University, Beijing 100084, China
| | - Peng Zhang
- Institute for TCM-X, MOE Key Laboratory of Bioinformatics, Bioinformatics Division, BNRIST, Department of Automation, Tsinghua University, Beijing 100084, China
| | - Bowen Wu
- Institute for TCM-X, MOE Key Laboratory of Bioinformatics, Bioinformatics Division, BNRIST, Department of Automation, Tsinghua University, Beijing 100084, China
| | - Xiaosen Wei
- Institute for TCM-X, MOE Key Laboratory of Bioinformatics, Bioinformatics Division, BNRIST, Department of Automation, Tsinghua University, Beijing 100084, China
| | - Shao Li
- Institute for TCM-X, MOE Key Laboratory of Bioinformatics, Bioinformatics Division, BNRIST, Department of Automation, Tsinghua University, Beijing 100084, China
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7
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Doyle ME, Premathilake HU, Yao Q, Mazucanti CH, Egan JM. Physiology of the tongue with emphasis on taste transduction. Physiol Rev 2023; 103:1193-1246. [PMID: 36422992 PMCID: PMC9942923 DOI: 10.1152/physrev.00012.2022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
The tongue is a complex multifunctional organ that interacts and senses both interoceptively and exteroceptively. Although it is easily visible to almost all of us, it is relatively understudied and what is in the literature is often contradictory or is not comprehensively reported. The tongue is both a motor and a sensory organ: motor in that it is required for speech and mastication, and sensory in that it receives information to be relayed to the central nervous system pertaining to the safety and quality of the contents of the oral cavity. Additionally, the tongue and its taste apparatus form part of an innate immune surveillance system. For example, loss or alteration in taste perception can be an early indication of infection as became evident during the present global SARS-CoV-2 pandemic. Here, we particularly emphasize the latest updates in the mechanisms of taste perception, taste bud formation and adult taste bud renewal, and the presence and effects of hormones on taste perception, review the understudied lingual immune system with specific reference to SARS-CoV-2, discuss nascent work on tongue microbiome, as well as address the effect of systemic disease on tongue structure and function, especially in relation to taste.
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Affiliation(s)
- Máire E Doyle
- Diabetes Section/Laboratory of Clinical Investigation, National Institute on Aging, National Institutes of Health, Baltimore, Maryland
| | - Hasitha U Premathilake
- Diabetes Section/Laboratory of Clinical Investigation, National Institute on Aging, National Institutes of Health, Baltimore, Maryland
| | - Qin Yao
- Diabetes Section/Laboratory of Clinical Investigation, National Institute on Aging, National Institutes of Health, Baltimore, Maryland
| | - Caio H Mazucanti
- Diabetes Section/Laboratory of Clinical Investigation, National Institute on Aging, National Institutes of Health, Baltimore, Maryland
| | - Josephine M Egan
- Diabetes Section/Laboratory of Clinical Investigation, National Institute on Aging, National Institutes of Health, Baltimore, Maryland
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Guo XJ, Dai SX, Lou JD, Ma XX, Hu XJ, Tu LP, Cui J, Lu H, Jiang T, Xu JT. Distribution characteristics of oral microbiota and its relationship with intestinal microbiota in patients with type 2 diabetes mellitus. Front Endocrinol (Lausanne) 2023; 14:1119201. [PMID: 37025407 PMCID: PMC10072265 DOI: 10.3389/fendo.2023.1119201] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Accepted: 02/23/2023] [Indexed: 03/18/2023] Open
Abstract
Introduction Type 2 diabetes mellitus (T2DM) has a high incidence rate globally, increasing the burden of death, disability, and the economy worldwide. Previous studies have found that the compositions of oral and intestinal microbiota changed respectively in T2DM; whether the changes were associated or interacted between the two sites and whether there were some associations between T2DM and the ectopic colonization of oral microbiota in the gut still need to be identified. Research design and methods We performed a cross-sectional observational study; 183 diabetes and 74 controls were enrolled. We used high-throughput sequencing technology to detect the V3-V4 region of 16S rRNA in oral and stool samples. The Source Tracker method was used to identify the proportion of the intestinal microbiota that ectopic colonized from the oral cavity. Results The oral marker bacteria of T2DM were found, such as Actinobacteria, Streptococcus, Rothia, and the intestinal marker bacteria were Bifidobacterium, Streptococcus, and Blautia at the genus level. Among them, Actinobacteria and Blautia played a vital role in different symbiotic relationships of oral and intestinal microbiota. The commonly distributed bacteria, such as Firmicutes, Bacteroidetes, and Actinobacteria, were found in both oral and intestine. Moreover, the relative abundance and composition of bacteria were different between the two sites. The glycine betaine degradation I pathway was the significantly up-regulated pathway in the oral and intestinal flora of T2DM. The main serum indexes related to oral and intestinal flora were inflammatory. The relative abundance of Proteobacteria in the intestine and the Spirochete in oral was positively correlated, and the correlation coefficient was the highest, was 0.240 (P<0.01). The proportion of ectopic colonization of oral flora in the gut of T2DM was 2.36%. Conclusion The dysbacteriosis exited in the oral and intestine simultaneously, and there were differences and connections in the flora composition at the two sites in T2DM. Ectopic colonization of oral flora in the intestine might relate to T2DM. Further, clarifying the oral-gut-transmitting bacteria can provide an essential reference for diagnosing and treating T2DM in the future.
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Affiliation(s)
- Xiao-jing Guo
- School of Basic Medical Sciences, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- School of Anesthesiology, Naval Medical University, Shanghai, China
| | - Shi-xuan Dai
- School of Basic Medical Sciences, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Jin-di Lou
- School of Basic Medical Sciences, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Xu-xiang Ma
- School of Basic Medical Sciences, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Xiao-juan Hu
- Shanghai Collaborative Innovation Center of Health Service in Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Li-ping Tu
- School of Basic Medical Sciences, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Ji Cui
- School of Basic Medical Sciences, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Hao Lu
- Department of Endocrinology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Tao Jiang
- School of Basic Medical Sciences, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Jia-tuo Xu
- School of Basic Medical Sciences, Shanghai University of Traditional Chinese Medicine, Shanghai, China
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Liu X, Huang X, Zhao J, Su Y, Shen L, Duan Y, Gong J, Zhang Z, Piao S, Zhu Q, Rong X, Guo J. Application of machine learning in Chinese medicine differentiation of dampness-heat pattern in patients with type 2 diabetes mellitus. Heliyon 2023; 9:e13289. [PMID: 36873141 PMCID: PMC9975099 DOI: 10.1016/j.heliyon.2023.e13289] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 01/26/2023] [Accepted: 01/27/2023] [Indexed: 02/15/2023] Open
Abstract
Background China has become the country with the largest number of people with type 2 diabetes mellitus (T2DM), and Chinese medicine (CM) has unique advantages in preventing and treating T2DM, while accurate pattern differentiation is the guarantee for proper treatment. Objective The establishment of the CM pattern differentiation model of T2DM is helpful to the pattern diagnosis of the disease. At present, there are few studies on dampness-heat pattern differentiation models of T2DM. Therefore, we establish a machine learning model, hoping to provide an efficient tool for the pattern diagnosis of CM for T2DM in the future. Methods A total of 1021 effective samples of T2DM patients from ten CM hospitals or clinics were collected by a questionnaire including patients' demographic and dampness-heat-related symptoms and signs. All information and the diagnosis of the dampness-heat pattern of patients were completed by experienced CM physicians at each visit. We applied six machine learning algorithms (Artificial Neural Network [ANN], K-Nearest Neighbor [KNN], Naïve Bayes [NB], Support Vector Machine [SVM], Extreme Gradient Boosting [XGBoost] and Random Forest [RF]) and compared their performance. And then we also utilized Shapley additive explanation (SHAP) method to explain the best performance model. Results The XGBoost model had the highest AUC (0.951, 95% CI 0.925-0.978) among the six models, with the best sensitivity, accuracy, F1 score, negative predictive value, and excellent specificity, precision, and positive predictive value. The SHAP method based on XGBoost showed that slimy yellow tongue fur was the most important sign in dampness-heat pattern diagnosis. The slippery pulse or rapid-slippery pulse, sticky stool with ungratifying defecation also performed an important role in this diagnostic model. Furthermore, the red tongue acted as an important tongue sign for the dampness-heat pattern. Conclusion This study constructed a dampness-heat pattern differentiation model of T2DM based on machine learning. The XGBoost model is a tool with the potential to help CM practitioners make quick diagnosis decisions and contribute to the standardization and international application of CM patterns.
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Affiliation(s)
- Xinyu Liu
- Guangdong Metabolic Diseases Research Center of Integrated Chinese and Western Medicine, Guangdong Pharmaceutical University, Guangzhou, 510006, China.,Key Laboratory of Glucolipid Metabolic Disorder, Ministry of Education of China, Guangdong Pharmaceutical University, Guangzhou, 510006, China.,Guangdong TCM Key Laboratory for Metabolic Diseases, Guangdong Pharmaceutical University, Guangzhou, 510006, China.,Institute of Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou, 510006, China
| | - Xiaoqiang Huang
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, 510006, China
| | - Jindong Zhao
- The First Affiliated Hospital of Anhui University of Chinese, Hefei, 230031, China
| | - Yanjin Su
- Shaanxi University of Chinese Medicine, Xi'an, 712046, China
| | - Lu Shen
- Shaanxi Provincial Hospital of Traditional Chinese Medicine, Xi'an, 710003, China
| | - Yuhong Duan
- Affiliated Hospital of Shannxi University of Chinese Medicine, Xi'an, 712000, China
| | - Jing Gong
- Department of Integrated Traditional Chinese and Western Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Zhihai Zhang
- The First Affiliated Hospital of Xiamen University, Xiamen, 361003, China
| | - Shenghua Piao
- Guangdong Metabolic Diseases Research Center of Integrated Chinese and Western Medicine, Guangdong Pharmaceutical University, Guangzhou, 510006, China.,Key Laboratory of Glucolipid Metabolic Disorder, Ministry of Education of China, Guangdong Pharmaceutical University, Guangzhou, 510006, China.,Guangdong TCM Key Laboratory for Metabolic Diseases, Guangdong Pharmaceutical University, Guangzhou, 510006, China.,Institute of Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou, 510006, China
| | - Qing Zhu
- Guangdong Metabolic Diseases Research Center of Integrated Chinese and Western Medicine, Guangdong Pharmaceutical University, Guangzhou, 510006, China.,Key Laboratory of Glucolipid Metabolic Disorder, Ministry of Education of China, Guangdong Pharmaceutical University, Guangzhou, 510006, China.,Guangdong TCM Key Laboratory for Metabolic Diseases, Guangdong Pharmaceutical University, Guangzhou, 510006, China.,Institute of Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou, 510006, China
| | - Xianglu Rong
- Guangdong Metabolic Diseases Research Center of Integrated Chinese and Western Medicine, Guangdong Pharmaceutical University, Guangzhou, 510006, China.,Key Laboratory of Glucolipid Metabolic Disorder, Ministry of Education of China, Guangdong Pharmaceutical University, Guangzhou, 510006, China.,Guangdong TCM Key Laboratory for Metabolic Diseases, Guangdong Pharmaceutical University, Guangzhou, 510006, China.,Institute of Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou, 510006, China
| | - Jiao Guo
- Guangdong Metabolic Diseases Research Center of Integrated Chinese and Western Medicine, Guangdong Pharmaceutical University, Guangzhou, 510006, China.,Key Laboratory of Glucolipid Metabolic Disorder, Ministry of Education of China, Guangdong Pharmaceutical University, Guangzhou, 510006, China.,Guangdong TCM Key Laboratory for Metabolic Diseases, Guangdong Pharmaceutical University, Guangzhou, 510006, China.,Institute of Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou, 510006, China
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10
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Zhang A, Liu W, Niu L, Zhu L, Yang L, Li X. Correlation analysis and prognostic value of miR-29a-3p expression and CYP2C19 genotypes in exfoliated cells from tongue coating of patients with gastroesophageal reflux disease. Genes Genomics 2023; 45:673-680. [PMID: 36662390 DOI: 10.1007/s13258-022-01347-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Accepted: 11/21/2022] [Indexed: 01/21/2023]
Abstract
BACKGROUND Gastroesophageal reflux disease (GERD) is a highly prevalent and troublesome disease. Several differentially expressed microRNAs (miRNAs) have been found in GERD. OBJECTIVE This study was to analyze the correlation of miR-29a-3p expression and CYP2C19 genotypes in exfoliated cells from tongue coating of GERD patients and its prognostic value. METHODS Tongue coating specimens were collected from 130 GERD patients and 70 healthy volunteers and their clinical baseline information was recorded. miR-29a-3p expression in exfoliated cells from tongue coating was determined via RT-qPCR, and its diagnostic efficiency on GERD was evaluated via receiver operating characteristic curve. CYP2C19 genotypes and their correlation with miR-29a-3p were analyzed via polymerase chain reaction restriction fragment length polymorphism technique. The adverse events of patients were documented via 12-month follow-up. The impact of miR-29a-3p expression on the healing rate of patients was analyzed via Kaplan-Meier method. Qualification of miR-29a-3p as an independent prognostic factor of GERD patients was analyzed via multivariate Cox regression analysis. RESULTS miR-29a-3p was highly-expressed in exfoliated cells from tongue coating of GERD patients. miR-29a-3p expression had high specificity and sensitivity in diagnosing GERD. CYP2C19 genotypes in GERD patients comprised rapid metabolizers, intermedia metabolizers, and poor metabolizers. miR-29a-3p expression showed a correlation with CYP2C19 genotypes. Higher miR-29a-3p expression predicted higher cumulative incidences of adverse outcomes. Highly-expressed miR-29a-3p was an independent prognostic factor for adverse outcomes of GERD patients. CONCLUSION High expression of miR-29a-3p aided the diagnosis and predicted poor prognosis of GERD patients.
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Affiliation(s)
- Aiqing Zhang
- Department of Gastroenterology, First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, 210029, Nanjing, Jiangsu Province, China.,Department of Gastroenterology, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, 030032, Taiyuan, China
| | - Wenjuan Liu
- Department of Gastroenterology, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, 030032, Taiyuan, China
| | - Lingyun Niu
- Department of Gastroenterology, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, 030032, Taiyuan, China
| | - Liping Zhu
- Department of Gastroenterology, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, 030032, Taiyuan, China
| | - Liuqing Yang
- Department of Gastroenterology, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, 030032, Taiyuan, China
| | - Xueliang Li
- Department of Gastroenterology, First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, 210029, Nanjing, Jiangsu Province, China.
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11
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Hua Z, Shen R, Lu B, Li M, Zhou P, Wu J, Dong W, Zhou Q, Zhang J. Weifuchun alters tongue flora and decreases serum trefoil factor I levels in gastric intestinal metaplasia: A CONSORT-compliant article. Medicine (Baltimore) 2022; 101:e31407. [PMID: 36397419 PMCID: PMC9666156 DOI: 10.1097/md.0000000000031407] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Accepted: 09/29/2022] [Indexed: 11/19/2022] Open
Abstract
OBJECTIVE To explore the molecular mechanisms of Weifuchun in the treatment of gastric intestinal metaplasia (GIM), we designed a preclinical pilot study to examine potential markers of disease progression based on alterations in the tongue flora. METHODS Total 27 patients with GIM were treated with Weifuchun for 4 weeks and 26 volunteers as controls. Tongue coating bacteria were profiled using 16S rDNA high-throughput sequencing. Serum pepsinogen I and II levels were detected using the latex immunoturbidimetric assay. The levels of serum trefoil factor I was detected by ELISA. Microplate-based quantification was used to detect serum total bile acid (TBA). RESULTS After treatment, the relative abundance of 4 dominant tongue coating genera (Granulicatella, Gemella, Lachnoanaerobaculum, and Neisseria) increased significantly wheras Alloprevotella, [Eubacterium] nodatum group, Prevotell, and Ruminococcaceae UCG-014 decreased (P < .05). The results showed that Alloprevotella and 3 rare tongue coating genera (Lautropia, Treponema 2, and Aliihoeflea) might be potential markers or target flora for the treatment of GIM. Kyoto encyclopedia of genes and genomes (KEGG) function prediction analysis showed that Weifuchun may regulate bile secretion and folate biosynthesis in patients with GIM. The level of serum trefoil factor I decreased significantly in response to Weifuchun treatment, which was consistent with the decrease in folate biosynthesis predicted by KEGG. CONCLUSION Weifuchun may restore the balance of tongue flora by decreasing the levels of serum trefoil factor I, thereby providing a new way to measuring the underlying effectiveness and potential mechanisms of action of this traditional Chinese medicinal compound in the treatment of GIM.
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Affiliation(s)
- Zhaolai Hua
- Institute of Tumor Prevention and Control, People’s Hospital of Yangzhong City, Yangzhong, China
- Guangxi Key Laboratory of Rare and Endangered Animal Ecology, Guangxi Normal University, Guilin, China
| | - Rui Shen
- School of Medicine & Holistic Integrative Medicine, Nanjing University of Chinese Medical, Nanjing, China
| | - Bin Lu
- Department of Oncology, People’s Hospital of Yangzhong City, Yangzhong, China
| | - Meifeng Li
- School of Medicine & Holistic Integrative Medicine, Nanjing University of Chinese Medical, Nanjing, China
| | - Ping Zhou
- Institute of Tumor Prevention and Control, People’s Hospital of Yangzhong City, Yangzhong, China
| | - Juan Wu
- School of Medicine & Holistic Integrative Medicine, Nanjing University of Chinese Medical, Nanjing, China
| | - Wei Dong
- School of Medicine & Holistic Integrative Medicine, Nanjing University of Chinese Medical, Nanjing, China
| | - Qihai Zhou
- Guangxi Key Laboratory of Rare and Endangered Animal Ecology, Guangxi Normal University, Guilin, China
| | - Junfeng Zhang
- School of Medicine & Holistic Integrative Medicine, Nanjing University of Chinese Medical, Nanjing, China
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12
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He C, Liao Q, Fu P, Li J, Zhao X, Zhang Q, Gui Q. Microbiological characteristics of different tongue coatings in adults. BMC Microbiol 2022; 22:214. [PMID: 36085010 PMCID: PMC9461261 DOI: 10.1186/s12866-022-02626-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Accepted: 08/23/2022] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
Tongue coating is an important health indicator in traditional Chinese medicine (TCM). The tongue coating microbiome can distinguish disease patients from healthy controls. To study the relationship between different types of tongue coatings and health, we analyzed the species composition of different types of tongue coatings and the co-occurrence relationships between microorganisms in Chinese adults.
From June 2019 to October 2020, 158 adults from Hangzhou and Shaoxing City, Zhejiang Province, were enrolled. We classified the TCM tongue coatings into four different types: thin white tongue fur (TWF), thin yellow tongue fur (TYF), white greasy tongue fur (WGF), and yellow greasy tongue fur (YGF). Tongue coating specimens were collected and used for 16S rRNA gene sequencing using the Illumina MiSeq system. Wilcoxon rank-sum and permutational multivariate analysis of variance tests were used to analyze the data. The microbial networks in the four types of tongue coatings were inferred independently using sparse inverse covariance estimation for ecological association inference.
Results
The microbial composition was similar among the different tongue coatings; however, the abundance of microorganisms differed. TWF had a higher abundance of Fusobacterium periodonticum and Neisseria mucosa, the highest α-diversity, and a highly connected community (average degree = 3.59, average closeness centrality = 0.33). TYF had the lowest α-diversity, but the most species in the co-occurrence network diagram (number of nodes = 88). The platelet-to-lymphocyte ratio (PLR) was associated with tongue coating (P = 0.035), and the YGF and TYF groups had higher PLR values. In the co-occurrence network, Aggregatibacter segnis was the “driver species” of the TWF and TYF groups and correlated with C-reactive protein (P < 0.05). Streptococcus anginosus was the “driver species” in the YGF and TWF groups and was positively correlated with body mass index and weight (P < 0.05).
Conclusion
Different tongue coatings have similar microbial compositions but different abundances of certain bacteria. The co-occurrence of microorganisms in the different tongue coatings also varies. The significance of different tongue coatings in TCM theory is consistent with the characteristics and roles of the corresponding tongue-coating microbes. This further supports considering tongue coating as a risk factor for disease.
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13
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Yu WW, Goh R, Cheong E, Guan G, Jin C, Cannon RD, Farella M, Mei L. Prevalence of halitosis among young adults in Dunedin, New Zealand. Int J Dent Hyg 2022; 20:700-707. [PMID: 35924391 DOI: 10.1111/idh.12609] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Revised: 01/25/2022] [Accepted: 07/31/2022] [Indexed: 11/29/2022]
Abstract
OBJECTIVES To investigate the prevalence of halitosis in young adults. METHODS Young adults (n = 372; mean age = 21.0 ± 2.6 years old, range = 18-30 years) in Dunedin, New Zealand were recruited into the cross sectional study after providing informed consent. The prevalence of halitosis was determined using both objective measurements (parts per billion [ppb] volatile sulphur compounds [VSCs] in the exhaled air) and subjective measurements (self-reported halitosis questionnaire, tongue coating index, and organoleptic assessment). RESULTS VSC measurements indicated that the prevalence of halitosis (values ≥ 140 ppb) was 31.2%; 25.6% of participants self-reported halitosis. The organoleptic assessment revealed that 14.3% of the participants had a score of ≥2. A positive correlation was found between the VSC measurements and organoleptic assessment (p < 0.05). No significant relationship was found between self-reported halitosis and either organoleptic assessment or VSC measurements. Self-reported dry mouth, smoking, oral hygiene index, DMFT index, and tongue coating score were significantly associated with the organoleptic assessment (p < 0.05). The self-reported dry mouth, mouth breathing and tongue coating score were significantly associated with the VSC scores (p < 0.05). CONCLUSION Halitosis, as represented by VSC, was found in 31.2% of the participants. VSC scores and organoleptic assessment were positively correlated. There was no significant relationship between self-reported halitosis and either organoleptic assessment or VSC measurements.
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Affiliation(s)
- Wing Wan Yu
- Department of Oral Sciences, Faculty of Dentistry, University of Otago, Dunedin, New Zealand
| | - Rayner Goh
- Department of Oral Sciences, Faculty of Dentistry, University of Otago, Dunedin, New Zealand
| | - Esther Cheong
- Department of Oral Sciences, Faculty of Dentistry, University of Otago, Dunedin, New Zealand
| | - Guangzhao Guan
- Department of Oral Diagnostic and Surgical Sciences, Faculty of Dentistry, University of Otago, Dunedin, New Zealand
| | - Carrol Jin
- Department of Oral Sciences, Faculty of Dentistry, University of Otago, Dunedin, New Zealand
| | - Richard D Cannon
- Department of Oral Sciences, Faculty of Dentistry, University of Otago, Dunedin, New Zealand
| | - Mauro Farella
- Department of Oral Sciences, Faculty of Dentistry, University of Otago, Dunedin, New Zealand
| | - Li Mei
- Department of Oral Sciences, Faculty of Dentistry, University of Otago, Dunedin, New Zealand
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Jia Y, Sun J, Jia Z, Xue Z, Wang R, He H, Chen W. Tongue Manifestation in Patients with Osteonecrosis of the Femoral Head: A Cross-sectional Study. Orthop Surg 2022; 14:2023-2030. [PMID: 35894147 PMCID: PMC9483080 DOI: 10.1111/os.13388] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Revised: 06/08/2022] [Accepted: 06/11/2022] [Indexed: 11/28/2022] Open
Abstract
OBJECTIVE Although tongue manifestation is a vital component of Traditional Chinese Medicine (TCM), relevant research on patients with osteonecrosis of the femoral head (ONFH) is still lacking. This study will explore the characteristic tongue manifestation of ONFH patients to inform future research and clinical practice. METHODS This is a cross-sectional study. All ONFH patients meeting criteria and their clinical data were collected from the online China osteonecrosis of the femoral head database (CONFHD) since it was created. Organized tongue manifestations of eligible patients through the tongue manifestation acquisition instrument, including tongue shape, tongue color, tongue coating thickness, tongue coating color and tongue coating moisture. We used descriptive analysis for the general information while systematic clustering analysis for the better summary of tongue characteristics. RESULTS A total of 375 ONFH patients were included with an average age of 46.3 years. Most patients appeared with enlarged tongue body (54.4%), and the proportions of pale and red tongue (62.4%) were higher than others. Tongue coating were mainly showed as thick (64.5%), white (57.6%) and moist (79.7%). Comparison of tongue shape between different causes of ONFH had a significant statistically difference (P = 0.000). Tongue manifestations could be cluster analyzed into three categories which were matched into four TCM syndromes. CONCLUSIONS The tongue manifestation of ONFH patients has a significant change both in tongue body and coating, and different features may be related to the ONFH pathology. This study provides new and valuable tongue informations for a preliminary screening of ONFH patients.
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Affiliation(s)
- Yan Jia
- Department of Minimally Invasive Arthrology, The Third Affiliated Hospital of Beijing University of Chinese medicine, Beijing, China
| | - Jigao Sun
- Department of Minimally Invasive Arthrology, The Third Affiliated Hospital of Beijing University of Chinese medicine, Beijing, China.,Department of Orthopedics, Dongfang Hospital Beijing University of Chinese Medicine, Beijing, China
| | - Zhaoxu Jia
- Department of Minimally Invasive Arthrology, The Third Affiliated Hospital of Beijing University of Chinese medicine, Beijing, China.,Department of Orthopedics, Fangshan Hospital Beijing University of Chinese Medicine, Beijing, China
| | - Zhipeng Xue
- Department of Minimally Invasive Arthrology, The Third Affiliated Hospital of Beijing University of Chinese medicine, Beijing, China
| | - Rongtian Wang
- Department of Minimally Invasive Arthrology, The Third Affiliated Hospital of Beijing University of Chinese medicine, Beijing, China
| | - Haijun He
- Third Department of Orthopedics, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Weiheng Chen
- Department of Minimally Invasive Arthrology, The Third Affiliated Hospital of Beijing University of Chinese medicine, Beijing, China
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15
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Zhang S, Luo H, Tan D, Peng B, Zhong Z, Wang Y. Holism of Chinese herbal medicine prescriptions for inflammatory bowel disease: A review based on clinical evidence and experimental research. PHYTOMEDICINE : INTERNATIONAL JOURNAL OF PHYTOTHERAPY AND PHYTOPHARMACOLOGY 2022; 102:154202. [PMID: 35665678 DOI: 10.1016/j.phymed.2022.154202] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Revised: 05/17/2022] [Accepted: 05/22/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Inflammatory bowel disease (IBD) is a chronic nonspecific inflammatory disease that causes a heavy burden and lacks effective treatments. Chinese herbal medicine prescriptions (CHMPs), which are characterized by a synergistic usage of herbs, are widely used in the management of IBD. The molecular mechanisms of action of CHMP are still ambiguous as the canonical "one-compound-one-target" approach has difficulty describing the dynamic bioreactions among CHMP objects. It seems more flexible to define the holism of CHMP for IBD by employing high-throughput analysis. However, studies that discuss the development of CHMP in treating IBD in a holistic view are still lacking. PURPOSE This review appraised preclinical and clinical research to fully describe the anti-IBD capacity of CHMPs and discussed CHMPs' holistic characteristics that can contribute to better management of IBD. METHODS & RESULTS We screened clinical and preclinical references of CHMP being used as treatments for IBD. We discussed the complexity of IBD and the development of CHMP to present the sophistication of CHMP treatments. To describe the clinical effectiveness of CHMPs against IBD, we performed an umbrella review of CHMP-associated META analyses, in which 1174 records were filtered down to 12 references. Then, we discussed 14 kinds of CHMPs that had a long history of use and analyzed their mechanisms of action. Representative herbs were employed to provide a subordinate explanation for the whole prescription. As holism is the dominant characteristic of CHMPs, we explored applications of CHMPs for IBD with the help of omics, gut microbiome, and network pharmacology, which are potential approaches to a dynamic figure of bioactions of CHMPs. CONCLUSION This review is the first to discuss the potential of CHMPs to manage IBD in a holistic context and will provide inspiring explanations for CHMP applications for further product transformation and application to other diseases.
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Affiliation(s)
- Siyuan Zhang
- Macau Centre for Research and Development in Chinese Medicine, State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macao SAR 999078, China
| | - Hua Luo
- Macau Centre for Research and Development in Chinese Medicine, State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macao SAR 999078, China
| | - Dechao Tan
- Macau Centre for Research and Development in Chinese Medicine, State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macao SAR 999078, China
| | - Bo Peng
- Macau Centre for Research and Development in Chinese Medicine, State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macao SAR 999078, China
| | - Zhangfeng Zhong
- Macau Centre for Research and Development in Chinese Medicine, State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macao SAR 999078, China.
| | - Yitao Wang
- Macau Centre for Research and Development in Chinese Medicine, State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macao SAR 999078, China.
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16
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Microbial Characteristics of Common Tongue Coatings in Patients with Precancerous Lesions of the Upper Gastrointestinal Tract. JOURNAL OF HEALTHCARE ENGINEERING 2022; 2022:7598427. [PMID: 35480154 PMCID: PMC9038387 DOI: 10.1155/2022/7598427] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/08/2022] [Revised: 03/10/2022] [Accepted: 03/12/2022] [Indexed: 12/24/2022]
Abstract
The tongue coating (TC) microbiota, a crucial component of the tongue coating, illustrates a huge microbial percentage of the body that mostly includes actinobacteria, bacteroides, firmicutes, and fusobacteria. The TC microbiota is closely related to the development of upper gastrointestinal malignancies, such as oral, gastric, and esophageal cancer. Nonetheless, the microbiological characteristics of common TCs in individuals with precancerous lesions of the upper gastrointestinal tract are still unclear. Herein, we designed a case-control study, recruiting 153 PLUGT patients with four different types of TCs, including 47 white-thin, 19 white-thick, 47 yellow-thin, and 40 yellow-thick, as well as 47 volunteers as controls. To analyze microbial characteristics, 16S rRNA microbiome approaches were used. An enzyme-linked immunosorbent assay (ELISA) was employed to assess serum IL-17A and total bile acid (TBA). According to the obtained results, Leptotrichia was found to be a promising biomarker for thin as well as thick yellow coatings. In comparison to the control TC microbiota, 39 different genera developed commensal networks in common TCs. Lachnoanaerobaculum and pseudonocardia were the most striking core bacteria. Lachnoanaerobaculum positively correlated with Leptotrichia in W-thin and Y-thick coatings, with actinomyces and methylobacterium in Y-thin coatings, with Campylobacter in Y-thick coatings, and with Bradyrhizobium in W-thick and Y-thick coatings. Serum IL-17A levels were greater in cases with W-thin coating than in controls, and serum IL-17A was positively linked with Parvimonas in patients with W-thick or Y-thin coating. In Y-thin coating, the oral dominating bacteria Streptococcus was negatively linked with serum TBA. Taken together, the promoted bacteria were found to be synergistically proliferative in the TCs of PLUGT patients. The diverse TCs had distinct bacterial commensal networks, whereas the common TCs were linked by specific bacteria to serum IL-17A and TBA.
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17
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Cao P, Ye J, Su KL, Xu YH, Yang Y, Zhou Q, Gao W, Cai XT, Wei QY, Cao M. Effect of salivary antimicrobial factors on microbial composition of tongue coating in patients with coronary heart disease with phlegm-stasis syndrome. WORLD JOURNAL OF TRADITIONAL CHINESE MEDICINE 2022. [DOI: 10.4103/wjtcm.wjtcm_34_21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
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18
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Cao P, Ye J, Su KL, Xu YH, Yang Y, Zhou Q, Gao W, Cai XT, Wei QY, Cao M. Effect of salivary antimicrobial factors on microbial composition of tongue coating in patients with coronary heart disease with phlegm-stasis syndrome. WORLD JOURNAL OF TRADITIONAL CHINESE MEDICINE 2022. [DOI: 10.4103/2311-8571.321974] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
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Xie J, Jing C, Zhang Z, Xu J, Duan Y, Xu D. Digital tongue image analyses for health assessment. MEDICAL REVIEW (BERLIN, GERMANY) 2021; 1:172-198. [PMID: 37724302 PMCID: PMC10388765 DOI: 10.1515/mr-2021-0018] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Accepted: 12/13/2021] [Indexed: 09/20/2023]
Abstract
Traditional Chinese Medicine (TCM), as an effective alternative medicine, utilizes tongue diagnosis as a major method to assess the patient's health status by examining the tongue's color, shape, and texture. Tongue images can also give the pre-disease indications without any significant disease symptoms, which provides a basis for preventive medicine and lifestyle adjustment. However, traditional tongue diagnosis has limitations, as the process may be subjective and inconsistent. Hence, computer-aided tongue diagnoses have a great potential to provide more consistent and objective health assessments. This paper reviewed the current trends in TCM tongue diagnosis, including tongue image acquisition hardware, tongue segmentation, feature extraction, color correction, tongue classification, and tongue diagnosis system. We also present a case of TCM constitution classification based on tongue images.
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Affiliation(s)
- Jiacheng Xie
- Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO, USA
- Christopher S. Bond Life Sciences Center, University of Missouri, Columbia, MO, USA
| | - Congcong Jing
- School of Basic Medical Sciences, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Ziyang Zhang
- Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO, USA
- Christopher S. Bond Life Sciences Center, University of Missouri, Columbia, MO, USA
| | - Jiatuo Xu
- School of Basic Medical Sciences, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Ye Duan
- Christopher S. Bond Life Sciences Center, University of Missouri, Columbia, MO, USA
| | - Dong Xu
- Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO, USA
- Christopher S. Bond Life Sciences Center, University of Missouri, Columbia, MO, USA
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20
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Pang S, Zhao S, Bai X, Song N, Wang S, Yu J, Zhang J, Ding X. Variations of tongue coating microbiota in children with Henoch-Schönlein purpura nephritis. Microb Pathog 2021; 160:105192. [PMID: 34534642 DOI: 10.1016/j.micpath.2021.105192] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Revised: 08/30/2021] [Accepted: 09/09/2021] [Indexed: 11/24/2022]
Abstract
BACKGROUND Variations in the oral microbiota have been significantly correlated with the progress of autoimmune diseases, such as immunoglobulin A nephropathy and Henoch-Schönlein purpura (HSP). However, there is no report outlining the character of tongue coating microbiota variations in children with Henoch-Schönlein purpura nephritis (HSPN). METHOD A total of 20 children with HSPN and 14 healthy controls were recruited for this research. Tongue coating samples of two groups were collected for 16S rRNA gene sequencing. The diversity, principal component analysis (PCA), nonmetric multidimensional scaling (NMDS), partial least squares discriminant analysis (PLS-DA), and linear discriminant analysis (LDA) effect size (LEfSe) were performed. Microbial function was assessed using the PICRUST. RESULTS The ACE and Chao indices were greatly lower in the HSPN group than in the HG (P = 0.001). The Shannon and Simpson indices were dramatically reduced in children with HSPN compared with those in the healthy controls (P = 0.005). Bacteroidales, Selenomonadales, Lactobacillales, Fusobacteriales, Neisseriales, and Actinomycetales composed more than 80% of all sequences, while Bacteroidales was the most generous order in both groups. PCA, NMDS and PLS-DA showed a marked difference between the control and HSPN groups. LEfSe analysis showed alteration of tongue coating microbiota in the HSPN group. There were 30 metabolic functions significantly differed between the two groups. CONCLUSIONS Children with HSPN have substantially various tongue coating microbiota compared to healthy controls. Even though this research does not indicate causality, it is beneficial to enhance the possibility for coming microbial-based treatments to enhance the clinical effects of HSPN in children.
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Affiliation(s)
- Shuang Pang
- Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200032, China
| | - Shuan Zhao
- Department of Nephrology, Zhongshan Hospital, Fudan University; Shanghai Institute of Kidney and Dialysis; Shanghai Key Laboratory of Kidney and Blood Purification; Shanghai Medical Center of Kidney Disease, Shanghai, 200433, China
| | - Xiaohong Bai
- Department of Pediatrics, Affiliated Hospital of Liaoning University of Traditional Chinese Medicine, Shenyang, 110032, China
| | - Nana Song
- Department of Nephrology, Zhongshan Hospital, Fudan University; Shanghai Institute of Kidney and Dialysis; Shanghai Key Laboratory of Kidney and Blood Purification; Shanghai Medical Center of Kidney Disease, Shanghai, 200433, China
| | - Shengzhi Wang
- Department of Pediatrics, Affiliated Hospital of Liaoning University of Traditional Chinese Medicine, Shenyang, 110032, China
| | - Jiawei Yu
- Department of Nephrology, Zhongshan Hospital, Fudan University; Shanghai Institute of Kidney and Dialysis; Shanghai Key Laboratory of Kidney and Blood Purification; Shanghai Medical Center of Kidney Disease, Shanghai, 200433, China
| | - Jun Zhang
- Department of Pediatrics, Affiliated Hospital of Liaoning University of Traditional Chinese Medicine, Shenyang, 110032, China.
| | - Xiaoqiang Ding
- Department of Nephrology, Zhongshan Hospital, Fudan University; Shanghai Institute of Kidney and Dialysis; Shanghai Key Laboratory of Kidney and Blood Purification; Shanghai Medical Center of Kidney Disease, Shanghai, 200433, China.
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21
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Li Y, Cui J, Liu Y, Chen K, Huang L, Liu Y. Oral, Tongue-Coating Microbiota, and Metabolic Disorders: A Novel Area of Interactive Research. Front Cardiovasc Med 2021; 8:730203. [PMID: 34490384 PMCID: PMC8417575 DOI: 10.3389/fcvm.2021.730203] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Accepted: 07/21/2021] [Indexed: 12/17/2022] Open
Abstract
Interactions between colonizing microbiota and the host have been fully confirmed, among which the tongue-coating microbiota have a moderate rate of renewal and disease sensitivity and are easily obtained, making them an ideal research subject. Oral microbiota disorders are related to diabetes, obesity, cardiovascular disease, cancer, and other systemic diseases. As an important part of the oral cavity, tongue-coating microbiota can promote gastritis and digestive system tumors, affecting the occurrence and development of multiple chronic diseases. Common risk factors include diet, age, and immune status, among others. Metabolic regulatory mechanisms may be similar between the tongue and gut microbiota. Tongue-coating microbiota can be transferred to the respiratory or digestive tract and create a new balance with local microorganisms, together with the host epithelial cells forming a biological barrier. This barrier is involved in the production and circulation of nitric oxide (NO) and the function of taste receptors, forming the oral-gut-brain axis (similar to the gut-brain axis). At present, the disease model and mechanism of tongue-coating microbiota affecting metabolism have not been widely studied, but they have tremendous potential.
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Affiliation(s)
- Yiwen Li
- National Clinical Research Center for Traditional Chinese Medicine Cardiology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Jing Cui
- National Clinical Research Center for Traditional Chinese Medicine Cardiology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Yanfei Liu
- The Second Department of Geriatrics, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Keji Chen
- National Clinical Research Center for Traditional Chinese Medicine Cardiology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Luqi Huang
- China Academy of Chinese Medical Sciences, Beijing, China
| | - Yue Liu
- National Clinical Research Center for Traditional Chinese Medicine Cardiology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
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22
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Chen H, Li Q, Li M, Liu S, Yao C, Wang Z, Zhao Z, Liu P, Yang F, Li X, Wang J, Zeng Y, Tong X. Microbial characteristics across different tongue coating types in a healthy population. J Oral Microbiol 2021; 13:1946316. [PMID: 34367522 PMCID: PMC8317956 DOI: 10.1080/20002297.2021.1946316] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Background The physical appearance of tongue coatings is vital for traditional Chinese medicine (TCM) to diagnose health and disease status. The microbiota of different tongue coatings could also influence coating formation and be further associated with specific diseases. Previous studies have focused on bacteria from different tongue coatings in the context of specific diseases, but the normal variations in healthy individuals remain unknown.Aim: We examined the tongue microbiota by metagenomics in 94 healthy individuals classified into eight different tongue types.Results: The overall composition of the tongue coating microbiome is not drastically different among different coating types, similar to the findings of previous studies in healthy populations. Further analysis revealed microbiota characteristics of each coating type, and many of the key bacteria are reported to be implicated in diseases. Moreover, further inclusion of diabetic patients revealed disease-specific enrichment of Capnocytophaga, even though the same tongue coatings were studied.Conclusions: This work revealed the characteristic compositions of distinctive tongue coatings in a healthy population, which serves as a basis for understanding the tongue coating formation mechanism and provides a valuable reference to further investigate disease-specific tongue coating bacterial markers.
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Affiliation(s)
- Hairong Chen
- CAS Key Laboratory of Infection and Immunity, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
| | - Qingwei Li
- Departments of Endocrinology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Min Li
- Departments of Endocrinology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Sheng Liu
- Departments of Endocrinology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Chensi Yao
- Departments of Endocrinology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Zixiong Wang
- CAS Key Laboratory of Infection and Immunity, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Zhuoya Zhao
- CAS Key Laboratory of Infection and Immunity, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
| | - Ping Liu
- CAS Key Laboratory of Infection and Immunity, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
| | - Fan Yang
- CAS Key Laboratory of Infection and Immunity, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Xinjian Li
- CAS Key Laboratory of Infection and Immunity, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
| | - Jun Wang
- CAS Key Laboratory of Pathogenic Microbiology & Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Yixin Zeng
- CAS Key Laboratory of Infection and Immunity, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
| | - Xiaolin Tong
- Departments of Endocrinology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
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23
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Zhang Q, Zhou J, Zhang B. Computational Traditional Chinese Medicine diagnosis: A literature survey. Comput Biol Med 2021; 133:104358. [PMID: 33831712 DOI: 10.1016/j.compbiomed.2021.104358] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Revised: 03/23/2021] [Accepted: 03/24/2021] [Indexed: 12/22/2022]
Abstract
BACKGROUND AND OBJECTIVE Traditional Chinese Medicine (TCM) diagnosis is based on the theoretical principles and knowledge, where it is steeped in thousands of years of history to diagnose various types of diseases and syndromes. It can be generally divided into four main diagnostic approaches: 1. Inspection, 2. Auscultation and olfaction, 3. Inquiry, and 4. Palpation, which are widely used in TCM hospitals in China and around the world. With the development of intelligent computing technology in recent years, computational TCM diagnosis has grown rapidly. METHODS In this paper, we aim to systematically summarize the development of computational TCM diagnosis based on four diagnostic approaches, mainly focusing on digital acquisition devices, collected datasets, and computational detection approaches (algorithms). Furthermore, all related works of this field are compared and explored in detail. RESULTS This survey provides the principles, applications, and current progress in computing for readers and researchers in terms of computational TCM diagnosis. Moreover, the future development direction, prospect, and technological trend of computational TCM diagnosis will also be discussed in this study. CONCLUSIONS Recent computational TCM diagnosis works are compared in detail to show the pros/cons, where we provide some meaningful suggestions and opinions on the future research approaches in this area. This work is useful for disease detection in computational TCM diagnosis as well as health management in the smart healthcare area. INDEX TERMS Computational diagnosis, Traditional Chinese Medicine, survey, smart healthcare.
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Affiliation(s)
- Qi Zhang
- The PAMI Research Group, Department of Computer and Information Science, Faculty of Science and Technology, University of Macau, Macau SAR, People's Republic of China
| | - Jianhang Zhou
- The PAMI Research Group, Department of Computer and Information Science, Faculty of Science and Technology, University of Macau, Macau SAR, People's Republic of China
| | - Bob Zhang
- The PAMI Research Group, Department of Computer and Information Science, Faculty of Science and Technology, University of Macau, Macau SAR, People's Republic of China.
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The Herbal Formula CWBSD Improves Sleep Quality Dependent on Oral Microbial Type and Tongue Diagnostic Features in Insomnia. J Pers Med 2021; 11:jpm11050325. [PMID: 33919176 PMCID: PMC8143156 DOI: 10.3390/jpm11050325] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Revised: 04/09/2021] [Accepted: 04/16/2021] [Indexed: 12/25/2022] Open
Abstract
Cheonwangbosim-dan (CWBSD) is a traditional Korean herb formula that has been widely prescribed for insomnia patients with a heart-yin deficiency (HYD) pattern. Several studies have reported that heart function and insomnia are interrelated, and few have explored associations between insomnia, oral microbiota, and tongue diagnosis. This study aimed to evaluate the effects of CWBSD on primary insomnia, tongue diagnosis, and oral microbiota. At baseline, 56 patients with primary insomnia were assigned to two groups, a HYD group and a non-HYD (NHYD) group and they took CWBSD for 6 weeks. During the study, Pittsburgh Sleep Quality Indices (PSQIs) and Insomnia Severity Indices (ISIs) decreased significantly in both groups. However, the PSQI reduction observed in the HYD group was greater than in the NHYD group and sleep times increased only in the HYD group. As sleep quality improved, the amount of tongue coating increased at the posterior tongue, where heart function appears. At baseline, the HYD and NHYD group had a specific oral microbiota (Veillonella at genus level), but no significant change was observed after taking CWBSD. Additionally, subjects were divided into two oral microbiota types ("orotypes"). The genera Prevotella, Veillonella, or Neisseria were abundant in each orotype. The reduction in PSQI in orotype 1 during the 6-week treatment period was greater than in orotype 2. In conclusion, this study shows that CWBSD could be used to treat primary insomnia in patients with a HYD pattern as determined using tongue diagnosis and oral microbiota distributional patterns.
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25
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Bach LL, Ram A, Ijaz UZ, Evans TJ, Lindström J. A Longitudinal Study of the Human Oropharynx Microbiota Over Time Reveals a Common Core and Significant Variations With Self-Reported Disease. Front Microbiol 2021; 11:573969. [PMID: 33552004 PMCID: PMC7861042 DOI: 10.3389/fmicb.2020.573969] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Accepted: 12/21/2020] [Indexed: 11/28/2022] Open
Abstract
Our understanding of human microbial communities, in particular in regard to diseases is advancing, yet the basic understanding of the microbiome in healthy subjects over time remains limited. The oropharynx is a key target for colonization by several important human pathogens. To understand how the oropharyngeal microbiome might limit infections, and how intercurrent infections might be associated with its composition, we characterized the oropharyngeal microbiome of 18 healthy adults, sampled weekly over a 40-weeks using culture-independent molecular techniques. We detected nine phyla, 202 genera and 1438 assignments on OTU level, dominated by Firmicutes, Bacteroidetes, and Proteobacteria on phylum level. Individual microbiomes of participants were characterized by levels of high alpha diversity (mean = 204.55 OTUs, sd = 35.64), evenness (19.83, sd = 9.74) and high temporal stability (mean Pearson's correlation between samples of 0.52, sd = 0.060), with greater differences in microbiome community composition between than within individuals. Significant changes in community composition were associated with disease states, suggesting that it is possible to detect specific changes in OTU abundance and community composition during illness. We defined the common core microbiota by varying occurrence and abundance thresholds showing that individual core microbiomes share a substantial number of OTUs across participants, chiefly Streptococci and Veillonella. Our results provide insights into the microbial communities that characterize the healthy human oropharynx, community structure and variability, and provide new approaches to define individual and shared cores. The wider implications of this result include the potential for modeling the general dynamics of oropharynx microbiota both in health and in response to antimicrobial treatments or probiotics.
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Affiliation(s)
- Lydia Luise Bach
- Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow, United Kingdom
| | - Asha Ram
- Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow, United Kingdom
| | - Umer Z. Ijaz
- School of Engineering, University of Glasgow, Glasgow, United Kingdom
| | - Thomas J. Evans
- Institute of Infection, Immunity and Inflammation, Glasgow Biomedical Research Centre, University of Glasgow, Glasgow, United Kingdom
| | - Jan Lindström
- Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow, United Kingdom
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26
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Liu J, Feng W, Peng C. A Song of Ice and Fire: Cold and Hot Properties of Traditional Chinese Medicines. Front Pharmacol 2021; 11:598744. [PMID: 33542688 PMCID: PMC7851091 DOI: 10.3389/fphar.2020.598744] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2020] [Accepted: 11/10/2020] [Indexed: 12/11/2022] Open
Abstract
The theory of cold and hot properties is the basic theory of traditional Chinese medicines (TCMs) and has been successfully applied to combat human diseases for thousands of years. Although the theory of cold and hot is very important to guide the clinical application of TCMs, this ancient theory remains an enigma for a long time. In recent years, more and more researchers have tried to uncover this ancient theory with the help of modern techniques, and the cold and hot properties of a myriad of TCMs have been studied. However, there is no review of cold and hot properties. In this review, we first briefly introduced the basic theories about cold and hot properties, including how to distinguish between the cold and hot properties of TCMs and the classification and treatment of cold and hot syndromes. Then, focusing on the application of cold and hot properties, we take several important TCMs with cold or hot property as examples to summarize their traditional usage, phytochemistry, and pharmacology. In addition, the mechanisms of thermogenesis and antipyretic effect of these important TCMs, which are related to the cold and hot properties, were summarized. At the end of this review, the perspectives on research strategies and research directions of hot and cold properties were also offered.
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Affiliation(s)
- Juan Liu
- School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China
- State Key Laboratory of Characteristic Chinese Medicine Resources in Southwestern China, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Wuwen Feng
- School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China
- State Key Laboratory of Characteristic Chinese Medicine Resources in Southwestern China, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Cheng Peng
- School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China
- State Key Laboratory of Characteristic Chinese Medicine Resources in Southwestern China, Chengdu University of Traditional Chinese Medicine, Chengdu, China
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27
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Bahari F, Yavari M. Hot and Cold Theory: Evidence in Systems Biology. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2021; 1343:135-160. [DOI: 10.1007/978-3-030-80983-6_9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/09/2022]
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28
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Wang X, Wang ZY, Zheng JH, Li S. TCM network pharmacology: A new trend towards combining computational, experimental and clinical approaches. Chin J Nat Med 2021; 19:1-11. [PMID: 33516447 DOI: 10.1016/s1875-5364(21)60001-8] [Citation(s) in RCA: 141] [Impact Index Per Article: 47.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2020] [Indexed: 12/22/2022]
Abstract
Traditional Chinese medicine (TCM) is a precious treasure of the Chinese nation and has unique advantages in the prevention and treatment of diseases. The holistic view of TCM coincides with the new generation of medical research paradigm characterized by network and system. TCM gave birth to a new method featuring holistic and systematic "network target", a core theory and method of network pharmacology. TCM is also an important research object of network pharmacology. TCM network pharmacology, which aims to understand the network-based biological basis of complex diseases, TCM syndromes and herb treatments, plays a critical role in the origin and development process of network pharmacology. This review introduces new progresses of TCM network pharmacology in recent years, including predicting herb targets, understanding biological foundation of diseases and syndromes, network regulation mechanisms of herbal formulae, and identifying disease and syndrome biomarkers based on biological network. These studies show a trend of combining computational, experimental and clinical approaches, which is a promising direction of TCM network pharmacology research in the future. Considering that TCM network pharmacology is still a young research field, it is necessary to further standardize the research process and evaluation indicators to promote its healthy development.
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Affiliation(s)
- Xin Wang
- Institute for TCM-X, MOE Key Laboratory of Bioinformatics/Bioinformatics Division, BNRIST, Department of Automation, Tsinghua University, Beijing 100084, China
| | - Zi-Yi Wang
- Institute for TCM-X, MOE Key Laboratory of Bioinformatics/Bioinformatics Division, BNRIST, Department of Automation, Tsinghua University, Beijing 100084, China
| | - Jia-Hui Zheng
- Institute for TCM-X, MOE Key Laboratory of Bioinformatics/Bioinformatics Division, BNRIST, Department of Automation, Tsinghua University, Beijing 100084, China
| | - Shao Li
- Institute for TCM-X, MOE Key Laboratory of Bioinformatics/Bioinformatics Division, BNRIST, Department of Automation, Tsinghua University, Beijing 100084, China.
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29
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Jafari M, Wang Y, Amiryousefi A, Tang J. Unsupervised Learning and Multipartite Network Models: A Promising Approach for Understanding Traditional Medicine. Front Pharmacol 2020; 11:1319. [PMID: 32982738 PMCID: PMC7479204 DOI: 10.3389/fphar.2020.01319] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Accepted: 08/07/2020] [Indexed: 12/11/2022] Open
Abstract
The ultimate goal of precision medicine is to determine right treatment for right patients based on precise diagnosis. To achieve this goal, correct stratification of patients using molecular features and clinical phenotypes is crucial. During the long history of medical science, our understanding on disease classification has been improved greatly by chemistry and molecular biology. Nowadays, we gain access to large scale patient-derived data by high-throughput technologies, generating a greater need for data science including unsupervised learning and network modeling. Unsupervised learning methods such as clustering could be a better solution to stratify patients when there is a lack of predefined classifiers. In network modularity analysis, clustering methods can be also applied to elucidate the complex structure of biological and disease networks at the systems level. In this review, we went over the main points of clustering analysis and network modeling, particularly in the context of Traditional Chinese medicine (TCM). We showed that this approach can provide novel insights on the rationale of classification for TCM herbs. In a case study, using a modularity analysis of multipartite networks, we illustrated that the TCM classifications are associated with the chemical properties of the herb ingredients. We concluded that multipartite network modeling may become a suitable data integration tool for understanding the mechanisms of actions of traditional medicine.
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Affiliation(s)
- Mohieddin Jafari
- Research Program in Systems Oncology, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Yinyin Wang
- Research Program in Systems Oncology, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Ali Amiryousefi
- Research Program in Systems Oncology, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Jing Tang
- Research Program in Systems Oncology, Faculty of Medicine, University of Helsinki, Helsinki, Finland
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30
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Shi D, Tang C, Blackley SV, Wang L, Yang J, He Y, Bennett SI, Xiong Y, Shi X, Zhou L, Bates DW. An annotated dataset of tongue images supporting geriatric disease diagnosis. Data Brief 2020; 32:106153. [PMID: 32904258 PMCID: PMC7452583 DOI: 10.1016/j.dib.2020.106153] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Revised: 07/13/2020] [Accepted: 08/03/2020] [Indexed: 11/25/2022] Open
Abstract
Hospitalized geriatric patients are a highly heterogeneous group often with variable diseases and conditions. Physicians, and geriatricians especially, are devoted to seeking non-invasive testing tools to support a timely, accurate diagnosis. Chinese tongue diagnosis, mainly based on the color and texture of the tongue, offers a unique solution. To develop a non-invasive assessment tool using machine learning in supporting a timely, accurate diagnosis in the elderly, we created an annotated dataset of 15% of 688 (=100) tongue images collected from hospitalized geriatric patients in a tertiary hospital in Shanghai, China. Images were captured via a light-field camera using CIELAB color space (to simulate human visual perception) and then were manually labeled by a panel of subject matter experts after chart reviewing patients’ clinical information documented in the hospital's information system. We expect that the dataset can assist in implementing a systematic means of conducting Chinese tongue diagnosis, predicting geriatric syndromes using tongue appearance, and even developing an mHealth application to provide individualized health suggestions for the elderly.
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Affiliation(s)
- Dan Shi
- Department of Geriatrics, Yueyang Hospital of Integrated Traditional Chinese Medicine and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 200437, China
| | - Chunlei Tang
- Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA 02115, USA.,Clinical and Quality Analysis, Mass General Brigham, Somerville, MA 02145, USA
| | - Suzanne V Blackley
- Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA 02115, USA.,Clinical and Quality Analysis, Mass General Brigham, Somerville, MA 02145, USA
| | - Liqin Wang
- Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Jiahong Yang
- Shanghai Shenkang Hospital Development Center, Shanghai 200041, China
| | - Yanming He
- Department of Endocrinology, Yueyang Hospital of Integrated Traditional Chinese Medicine and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 200437, China
| | - Samuel I Bennett
- Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA 02115, USA.,Clinical and Quality Analysis, Mass General Brigham, Somerville, MA 02145, USA
| | - Yun Xiong
- Shanghai Key Laboratory of Data Science, School of Computer science, Fudan University, Shanghai 201203, China
| | - Xiao Shi
- Department of Geriatrics, Yueyang Hospital of Integrated Traditional Chinese Medicine and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 200437, China
| | - Li Zhou
- Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - David W Bates
- Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA 02115, USA.,Clinical and Quality Analysis, Mass General Brigham, Somerville, MA 02145, USA
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Microbiome technology empowers the development of traditional Chinese medicine. SCIENCE CHINA-LIFE SCIENCES 2020; 63:1759-1761. [PMID: 32789726 DOI: 10.1007/s11427-020-1778-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Accepted: 07/11/2020] [Indexed: 02/07/2023]
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Wang ZC, Zhang SP, Yuen PC, Chan KW, Chan YY, Cheung CH, Chow CH, Chua KK, Hu J, Hu Z, Lao B, Leung CC, Li H, Zhong L, Liu X, Liu Y, Liu Z, Lun X, Mo W, Siu SY, Xiong Z, Yeung WF, Zhang RY, Zhang X. Intra-Rater and Inter-Rater Reliability of Tongue Coating Diagnosis in Traditional Chinese Medicine Using Smartphones: Quasi-Delphi Study. JMIR Mhealth Uhealth 2020; 8:e16018. [PMID: 32459647 PMCID: PMC7380897 DOI: 10.2196/16018] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2019] [Revised: 10/14/2019] [Accepted: 03/23/2020] [Indexed: 12/20/2022] Open
Abstract
Background There is a growing trend in the use of mobile health (mHealth) technologies in traditional Chinese medicine (TCM) and telemedicine, especially during the coronavirus disease (COVID-19) outbreak. Tongue diagnosis is an important component of TCM, but also plays a role in Western medicine, for example in dermatology. However, the procedure of obtaining tongue images has not been standardized and the reliability of tongue diagnosis by smartphone tongue images has yet to be evaluated. Objective The first objective of this study was to develop an operating classification scheme for tongue coating diagnosis. The second and main objective of this study was to determine the intra-rater and inter-rater reliability of tongue coating diagnosis using the operating classification scheme. Methods An operating classification scheme for tongue coating was developed using a stepwise approach and a quasi-Delphi method. First, tongue images (n=2023) were analyzed by 2 groups of assessors to develop the operating classification scheme for tongue coating diagnosis. Based on clinicians’ (n=17) own interpretations as well as their use of the operating classification scheme, the results of tongue diagnosis on a representative tongue image set (n=24) were compared. After gathering consensus for the operating classification scheme, the clinicians were instructed to use the scheme to assess tongue features of their patients under direct visual inspection. At the same time, the clinicians took tongue images of the patients with smartphones and assessed tongue features observed in the smartphone image using the same classification scheme. The intra-rater agreements of these two assessments were calculated to determine which features of tongue coating were better retained by the image. Using the finalized operating classification scheme, clinicians in the study group assessed representative tongue images (n=24) that they had taken, and the intra-rater and inter-rater reliability of their assessments was evaluated. Results Intra-rater agreement between direct subject inspection and tongue image inspection was good to very good (Cohen κ range 0.69-1.0). Additionally, when comparing the assessment of tongue images on different days, intra-rater reliability was good to very good (κ range 0.7-1.0), except for the color of the tongue body (κ=0.22) and slippery tongue fur (κ=0.1). Inter-rater reliability was moderate for tongue coating (Gwet AC2 range 0.49-0.55), and fair for color and other features of the tongue body (Gwet AC2=0.34). Conclusions Taken together, our study has shown that tongue images collected via smartphone contain some reliable features, including tongue coating, that can be used in mHealth analysis. Our findings thus support the use of smartphones in telemedicine for detecting changes in tongue coating.
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Affiliation(s)
- Zhi Chun Wang
- School of Chinese Medicine, Hong Kong Baptist University, Hong Kong, China (Hong Kong)
| | - Shi Ping Zhang
- School of Chinese Medicine, Hong Kong Baptist University, Hong Kong, China (Hong Kong)
| | - Pong Chi Yuen
- School of Computing Science, Hong Kong Baptist University, Hong Kong, China (Hong Kong)
| | - Kam Wa Chan
- Department of Medicine, The University of Hong Kong, Hong Kong, China (Hong Kong)
| | - Yi Yi Chan
- School of Chinese Medicine, Hong Kong Baptist University, Hong Kong, China (Hong Kong)
| | - Chun Hoi Cheung
- School of Chinese Medicine, Hong Kong Baptist University, Hong Kong, China (Hong Kong)
| | - Chi Ho Chow
- School of Chinese Medicine, Hong Kong Baptist University, Hong Kong, China (Hong Kong)
| | - Ka Kit Chua
- School of Chinese Medicine, Hong Kong Baptist University, Hong Kong, China (Hong Kong)
| | - Jun Hu
- Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhichao Hu
- School of Chinese Medicine, Hong Kong Baptist University, Hong Kong, China (Hong Kong)
| | - Beini Lao
- Guangdong Provincial Hospital of Traditional Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine, Guangzhou, China
| | - Chun Chuen Leung
- Hong Zhi Tang Chinese Medicine Clinic, Hong Kong, China (Hong Kong)
| | - Hong Li
- School of Chinese Medicine, Hong Kong Baptist University, Hong Kong, China (Hong Kong)
| | - Linda Zhong
- School of Chinese Medicine, Hong Kong Baptist University, Hong Kong, China (Hong Kong)
| | - Xusheng Liu
- Guangdong Provincial Hospital of Traditional Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine, Guangzhou, China
| | - Yulong Liu
- School of Chinese Medicine, Hong Kong Baptist University, Hong Kong, China (Hong Kong)
| | - Zhenjie Liu
- Guangdong Provincial Hospital of Traditional Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine, Guangzhou, China
| | - Xin Lun
- School of Chinese Medicine, Hong Kong Baptist University, Hong Kong, China (Hong Kong)
| | - Wei Mo
- Guang Dong Second Traditional Chinese Medicine Hospital, Guangzhou, China
| | - Sheung Yuen Siu
- School of Chinese Medicine, Hong Kong Baptist University, Hong Kong, China (Hong Kong)
| | | | - Wing Fai Yeung
- School of Nursing, Hong Kong Polytechnic University, Hong Kong, China (Hong Kong)
| | - Run Yun Zhang
- China Academy of Chinese Medical Sciences, Guang An Men Hospital, Beijing, China
| | - Xuebin Zhang
- School of Chinese Medicine, Hong Kong Baptist University, Hong Kong, China (Hong Kong)
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Zhang R, Gao X, Bai H, Ning K. Traditional Chinese Medicine and Gut Microbiome: Their Respective and Concert Effects on Healthcare. Front Pharmacol 2020; 11:538. [PMID: 32390855 PMCID: PMC7188910 DOI: 10.3389/fphar.2020.00538] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2020] [Accepted: 04/06/2020] [Indexed: 12/16/2022] Open
Abstract
Advances in systems biology, particularly based on the omics approaches, have resulted in a paradigm shift in both traditional Chinese medicine (TCM) and the gut microbiome research. In line with this paradigm shift, the importance of TCM and gut microbiome in healthcare, as well as their interplay, has become clearer. Firstly, we briefly summarize the current status of three topics in this review: microbiome, TCM, and relationship of TCM and microbiome. Second, we focused on TCM's therapeutic effects and gut microbiome's mediation roles, including the relationships among diet, gut microbiome, and health care. Third, we have summarized some databases and tools to help understand the impact of TCM and gut microbiome on diagnosis and treatment at the molecular level. Finally, we introduce the effects of gut microbiome on TCM and host health, with two case studies, one on the metabolic effect of gut microbiome on TCM, and another on cancer treatment. In summary, we have reviewed the current status of the two components of healthcare: TCM and gut microbiome, as well as their concert effects. It is quite clear that as the holobiont, the maintenance of the health status of human would depend heavily on TCM, gut microbiome, and their combined effects.
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Affiliation(s)
- Runzhi Zhang
- School of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, China
| | - Xi Gao
- School of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, China
| | - Hong Bai
- School of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, China
| | - Kang Ning
- School of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, China
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Lin WX, Du X, Yang LL, Chen SY, Qiu WY, Wu HW, Zhao G, Feng YH, Yu QY, Tian H, Luo SP, Gao J. Differences in the Composition of Vaginal Microbiota between Women Exhibiting Spleen-Deficiency Syndrome and Women with Damp-Heat Syndrome, Two of the Most Common Syndromes of Vaginitis in Traditional Chinese Medicine. EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE : ECAM 2019; 2019:5456379. [PMID: 31772596 PMCID: PMC6855005 DOI: 10.1155/2019/5456379] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/20/2019] [Revised: 08/29/2019] [Accepted: 09/23/2019] [Indexed: 11/17/2022]
Abstract
Spleen-deficiency syndrome and damp-heat syndrome are the two most common syndromes of vaginitis in traditional Chinese medicine (TCM). Although it is known that the vaginal microbiota is closely associated with vaginitis, present studies have not fully elucidated the relationship between the composition of the vaginal microbiome and type of TCM syndrome because of the limitations in the present reductionist approaches. Samples of vaginal secretions were collected from patients with bacterial vaginitis and healthy subjects with spleen-deficiency syndrome and damp-heat syndrome, in order to analyze the constitution of the vaginal microflora using 16S rRNA sequencing methods that encompass taxonomic units, alpha diversity rarefaction curves, and principal component analyses. This prospective study indicated that there was a statistically significant difference in the composition of the vaginal microbiome between patients with spleen-deficiency syndrome and patients with damp-heat syndrome. Streptococcus was the dominant microbiota in patients with spleen-deficiency syndrome. This can serve as a biomarker for differentiating spleen-deficiency syndrome and damp-heat syndrome. In addition, as indicated by the findings on the samples, patients with bacterial vaginitis of dominant abundance in Pseudomonadaceae might be prone to manifest spleen-deficiency syndrome, while patients with bacterial vaginitis of dominant abundance in Prevotella might be prone to manifest damp-heat syndrome. These present findings can provide a new approach to acquire a scientific understanding of the syndromes of TCM, which in turn would benefit the development of personalized medicine, in terms of ancient medicine and complex biological systems.
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Affiliation(s)
- Wei Xian Lin
- First School of Clinical Medicine, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Xin Du
- First School of Clinical Medicine, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Li Lin Yang
- First School of Clinical Medicine, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Si Yun Chen
- First School of Clinical Medicine, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Wei Yu Qiu
- First School of Clinical Medicine, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Hai Wang Wu
- First School of Clinical Medicine, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Guang Zhao
- Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yi Hui Feng
- First School of Clinical Medicine, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Qing Ying Yu
- First School of Clinical Medicine, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - He Tian
- First School of Clinical Medicine, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Song ping Luo
- First School of Clinical Medicine, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Jie Gao
- Department of Obstetrics and Gynecology, First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
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Zhang W, Zhou Y, Jeppesen E, Wang L, Tan H, Zhang J. Linking heterotrophic bacterioplankton community composition to the optical dynamics of dissolved organic matter in a large eutrophic Chinese lake. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 679:136-147. [PMID: 31082588 DOI: 10.1016/j.scitotenv.2019.05.055] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/16/2019] [Revised: 05/04/2019] [Accepted: 05/05/2019] [Indexed: 06/09/2023]
Abstract
Elucidation of the linkages between the bacterial community composition and chromophoric dissolved organic matter (CDOM) in lake ecosystems is critical for the understanding of the inland water carbon cycling. Despite substantial research into the relationship between the bacteria community and the bulk DOM pool, knowledge of the specific relationship between the optical dynamics of DOM and the bacterioplankton community in lake ecosystems is still poor. We investigated the linkages between the optical dynamics of DOM and bacteria composition in shallow eutrophic Lake Taihu, China. Redundancy Analysis (RDA) indicated that besides water temperature and phytoplankton biomass, also CDOM was an important factor determining the composition of the bacterial community. Generalized Additive Models (GAM) showed that terrestrial humic-like C1 and tyrosine-like C4 were the key factors explaining the abundance of the main bacterial clades. C1 was closely correlated with Verrucomicrobia, Actinobacteria, Alphaproteobacteria, Betaproteobacteria and Planctomycetes, and C4 was closely related to the latter two and to Bacteroidetes. At family level, the dominant families - Pelagibacteraceae (Alphaproteobacteria) and Gemmataceae (Planctomycetes) - were related to both allochthonous and autochthonous CDOM fluorophores but responded differently to the various CDOM components. Tryptophan-like C2 was significantly and positively correlated with Gemmataceae and Ellin6075 (Acidobacteria). Additionally, we found that the biomasses of Cyanophyta, terrestrial humic-like C1, tryptophan-like C4 and C5 were significantly related to the richness of heterotrophic bacterioplankton. Our results provide new insight into the relationship between bacteria and DOM optical dynamics although the mechanisms leading to these relationships need further experimental investigations.
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Affiliation(s)
- Wei Zhang
- Centre for Research on Environmental Ecology and Fish Nutrition (Ministry of Agriculture, China), Key Laboratory of Exploration and Utilization of Aquatic Genetic Resources (Ministry of Education, China), National Demonstration Center for Experimental Fisheries Science Education, Shanghai Ocean University, Shanghai 201306, PR China
| | - Yongqiang Zhou
- State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, PR China
| | - Erik Jeppesen
- Department of Bioscience, Aarhus University, Silkeborg DK-8600, Denmark; Sino-Danish Centre for Education and Research (SDC), Beijing 100049, PR China
| | - Liqing Wang
- Centre for Research on Environmental Ecology and Fish Nutrition (Ministry of Agriculture, China), Key Laboratory of Exploration and Utilization of Aquatic Genetic Resources (Ministry of Education, China), National Demonstration Center for Experimental Fisheries Science Education, Shanghai Ocean University, Shanghai 201306, PR China
| | - Hongxin Tan
- Centre for Research on Environmental Ecology and Fish Nutrition (Ministry of Agriculture, China), Key Laboratory of Exploration and Utilization of Aquatic Genetic Resources (Ministry of Education, China), National Demonstration Center for Experimental Fisheries Science Education, Shanghai Ocean University, Shanghai 201306, PR China.
| | - Junyi Zhang
- State Key Lab for Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210008, PR China; Wuxi Environmental Monitoring Centre, Wuxi 214023, PR China.
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Cui J, Cui H, Yang M, Du S, Li J, Li Y, Liu L, Zhang X, Li S. Tongue coating microbiome as a potential biomarker for gastritis including precancerous cascade. Protein Cell 2019; 10:496-509. [PMID: 30478535 PMCID: PMC6588651 DOI: 10.1007/s13238-018-0596-6] [Citation(s) in RCA: 62] [Impact Index Per Article: 12.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2018] [Accepted: 10/23/2018] [Indexed: 02/06/2023] Open
Abstract
The development of gastritis is associated with an increased risk of gastric cancer. Current invasive gastritis diagnostic methods are not suitable for monitoring progress. In this work based on 78 gastritis patients and 50 healthy individuals, we observed that the variation of tongue-coating microbiota was associated with the occurrence and development of gastritis. Twenty-one microbial species were identified for differentiating tongue-coating microbiomes of gastritis and healthy individuals. Pathways such as microbial metabolism in diverse environments, biosynthesis of antibiotics and bacterial chemotaxis were up-regulated in gastritis patients. The abundance of Campylobacter concisus was found associated with the gastric precancerous cascade. Furthermore, Campylobacter concisus could be detected in tongue coating and gastric fluid in a validation cohort containing 38 gastritis patients. These observations provided biological evidence of tongue diagnosis in traditional Chinese medicine, and indicated that tongue-coating microbiome could be a potential non-invasive biomarker, which might be suitable for long-term monitoring of gastritis.
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Affiliation(s)
- Jiaxing Cui
- MOE Key Laboratory of Bioinformatics and TCM-X center/Bioinformatics Division, BNRist/Department of Automation, Tsinghua University, Beijing, 100084, China
| | - Hongfei Cui
- MOE Key Laboratory of Bioinformatics and TCM-X center/Bioinformatics Division, BNRist/Department of Automation, Tsinghua University, Beijing, 100084, China
- Institute for Artificial Intelligence and Department of Computer Science and Technology, Tsinghua University, Beijing, 100084, China
| | - Mingran Yang
- MOE Key Laboratory of Bioinformatics and TCM-X center/Bioinformatics Division, BNRist/Department of Automation, Tsinghua University, Beijing, 100084, China
| | - Shiyu Du
- China-Japan Friendship Hospital, Beijing, 100029, China
| | - Junfeng Li
- MOE Key Laboratory of Bioinformatics and TCM-X center/Bioinformatics Division, BNRist/Department of Automation, Tsinghua University, Beijing, 100084, China
| | - Yingxue Li
- MOE Key Laboratory of Bioinformatics and TCM-X center/Bioinformatics Division, BNRist/Department of Automation, Tsinghua University, Beijing, 100084, China
| | - Liyang Liu
- MOE Key Laboratory of Bioinformatics and TCM-X center/Bioinformatics Division, BNRist/Department of Automation, Tsinghua University, Beijing, 100084, China
| | - Xuegong Zhang
- MOE Key Laboratory of Bioinformatics and TCM-X center/Bioinformatics Division, BNRist/Department of Automation, Tsinghua University, Beijing, 100084, China.
- School of Life Sciences and Center for Synthetic and Systems Biology, Tsinghua University, Beijing, 100084, China.
| | - Shao Li
- MOE Key Laboratory of Bioinformatics and TCM-X center/Bioinformatics Division, BNRist/Department of Automation, Tsinghua University, Beijing, 100084, China.
- School of Life Sciences and Center for Synthetic and Systems Biology, Tsinghua University, Beijing, 100084, China.
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Mu X, Ji C, Wang Q, Liu K, Hao X, Zhang G, Shi X, Zhang Y, Gonzalez FJ, Wang Q, Wang Y. Non-targeted metabolomics reveals diagnostic biomarker in the tongue coating of patients with chronic gastritis. J Pharm Biomed Anal 2019; 174:541-551. [PMID: 31255854 DOI: 10.1016/j.jpba.2019.06.025] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2018] [Revised: 05/12/2019] [Accepted: 06/19/2019] [Indexed: 12/30/2022]
Abstract
Analysis of the properties of the tongue has been used in traditional Chinese medicine for disease diagnosis. Notably, tongue analysis, which is non-invasive and convenient compared with gastroscopy and pathological examination, can be used to assess chronic gastritis (CG). In order to find potential diagnostic biomarkers and study the metabolic mechanisms of the endogenous small molecules in the tongue coating related to CG, a non-targeted metabolomic analysis method was developed using ultra high performance liquid chromatography combined with quadrupole time-of-flight mass spectrometry (UHPLC-Q/TOF-MS). It was performed using two different columns in positive and negative ion scanning modes separately. The stability of the samples was evaluated and the age and gender factors of the subjects were excluded to ensure the reliability of the data in this study. Finally, under the four analysis models, 130, 229, 113 and 92 differential compounds were found using multivariate statistical methods respectively. 37 potential biomarkers were putatively identified after removing the duplicate compounds and five potential diagnostic biomarkers were putatively identified by receiver operating characteristic (ROC) curve analysis, including inosine, oleamide, adenosine, N-acetylglucosamine (GlcNAc) and xanthine. The main metabolic pathways associated with CG were purine metabolism, amino acid metabolism, sphingolipid metabolism and energy metabolism, which suggested that oxygen free radicals and energy metabolism were altered in patients with CG. These results provided a potential new basis for the quantitative diagnosis and pathogenesis of CG.
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Affiliation(s)
- Xiyan Mu
- Department of Pharmaceutical Analysis, School of Pharmacy, Hebei Medical University, Shijiazhuang, PR China
| | - Chuanyuan Ji
- Hebei Province Hospital of Traditional Chinese Medicine, Shijiazhuang, PR China
| | - Qi Wang
- Department of Pharmaceutical Analysis, School of Pharmacy, Hebei Medical University, Shijiazhuang, PR China
| | - Kun Liu
- Department of Pharmaceutical Analysis, School of Pharmacy, Hebei Medical University, Shijiazhuang, PR China
| | - Xinyu Hao
- Hebei Province Hospital of Traditional Chinese Medicine, Shijiazhuang, PR China
| | - Guanhua Zhang
- Department of Pharmaceutical Analysis, School of Pharmacy, Hebei Medical University, Shijiazhuang, PR China
| | - Xiaowei Shi
- Department of Pharmaceutical Analysis, School of Pharmacy, Hebei Medical University, Shijiazhuang, PR China
| | - Yuqian Zhang
- Department of Pharmaceutical Analysis, School of Pharmacy, Hebei Medical University, Shijiazhuang, PR China
| | - Frank J Gonzalez
- Laboratory of Metabolism, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Qiao Wang
- Department of Pharmaceutical Analysis, School of Pharmacy, Hebei Medical University, Shijiazhuang, PR China.
| | - Yangang Wang
- Hebei Province Hospital of Traditional Chinese Medicine, Shijiazhuang, PR China.
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Hsu PC, Wu HK, Huang YC, Chang HH, Lee TC, Chen YP, Chiang JY, Lo LC. The tongue features associated with type 2 diabetes mellitus. Medicine (Baltimore) 2019; 98:e15567. [PMID: 31083226 PMCID: PMC6531228 DOI: 10.1097/md.0000000000015567] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/13/2023] Open
Abstract
Diabetes mellitus (DM) is a public problem closely associated with numerous oral complications, such as coated tongue, xerostomia, salivary dysfunction, etc. Tongue diagnosis plays an important role in clinical prognosis and treatment of diabetes in the traditional Chinese medicine (TCM). This study investigated discriminating tongue features to distinguish between type 2 DM and non-DM individuals through non-invasive TCM tongue diagnosis.The tongue features for 199 patients with type 2 DM, and 372 non-DM individuals, serving as control, are extracted by the automatic tongue diagnosis system (ATDS). A total of 9 tongue features, namely, tongue shape, tongue color, fur thickness, fur color, saliva, tongue fissure, ecchymosis, teeth mark, and red dot. The demography, laboratory, physical examination, and tongue manifestation data between 2 groups were compared.Patients with type 2 DM possessed significantly larger covering area of yellow fur (58.5% vs 22.5%, P < .001), thick fur (50.8% vs 29.2%, P < .001), and bluish tongue (P < .001) than those of the control group. Also, a significantly higher portion (72.7% vs 55.2%, P < .05) of patients with long-term diabetics having yellow fur color than the short-term counterparts was observed.The high prevalence of thick fur, yellow fur color, and bluish tongue in patient with type 2 DM revealed that TCM tongue diagnosis can serve as a preliminary screening procedure in the early detection of type 2 DM in light of its simple and non-invasive nature, followed by other more accurate testing process. To the best of our knowledge, this is the first attempt in applying non-invasive TCM tongue diagnosis to the discrimination of type 2 DM patients and non-DM individuals.
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Affiliation(s)
- Po-Chi Hsu
- School of Chinese Medicine, China Medical University, Taichung
- Department of Chinese Medicine, China Medical University Hospital, Taichung
| | - Han-Kuei Wu
- School of Post-Baccalaureate Chinese Medicine, China Medical University, Taichung
- Department of Chinese Medicine, China Medical University Hospital Taipei Branch, Taipei
| | - Yu-Chuen Huang
- School of Chinese Medicine, China Medical University, Taichung
| | - Hen-Hong Chang
- Department of Chinese Medicine, China Medical University Hospital, Taichung
- School of Post-Baccalaureate Chinese Medicine, China Medical University, Taichung
| | - Tsung-Chieh Lee
- Department of Chinese Medicine, Changhua Christian Hospital, Changhua
| | - Yi-Ping Chen
- Department of Medical Research, China Medical University Hospital, Taichung
| | - John Y. Chiang
- Department of Computer Science and Engineering, National Sun Yat-Sen University, Kaohsiung
- Department of Healthcare Administration and Medical Informatics, Kaohsiung Medical University, Kaohsiung
| | - Lun-Chien Lo
- School of Chinese Medicine, China Medical University, Taichung
- Department of Chinese Medicine, China Medical University Hospital, Taichung
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Wu Y, Shi L, Li Q, Wu J, Peng W, Li H, Chen K, Ren Y, Fu X. Microbiota Diversity in Human Colorectal Cancer Tissues Is Associated with Clinicopathological Features. Nutr Cancer 2019; 71:214-222. [PMID: 30843732 DOI: 10.1080/01635581.2019.1578394] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Affiliation(s)
- Yaxin Wu
- Department of Gastroenterology, Central Hospital of Dazhou City, Sichuan, China
| | - Lei Shi
- Department of Gastroenterology, the Affiliated Hospital of Southwest Medical University, Sichuan, China
| | - Qing Li
- Department of Gastroenterology, the Affiliated Hospital of Southwest Medical University, Sichuan, China
| | - Jiao Wu
- Department of Gastroenterology, the Affiliated Hospital of Southwest Medical University, Sichuan, China
| | - Wei Peng
- Department of Gastroenterology, the Affiliated Hospital of Southwest Medical University, Sichuan, China
| | - Huan Li
- Department of Gastroenterology, the Affiliated Hospital of Southwest Medical University, Sichuan, China
| | - Kequan Chen
- Department of Gastroenterology, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yixing Ren
- Department of Gastrointestinal surgery, the Affiliated Hospital of North Sichuan Medical College, Sichuan, China
| | - Xiangsheng Fu
- Department of Gastroenterology, the Affiliated Hospital of North Sichuan Medical College, Sichuan, China
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Tribble GD, Angelov N, Weltman R, Wang BY, Eswaran SV, Gay IC, Parthasarathy K, Dao DHV, Richardson KN, Ismail NM, Sharina IG, Hyde ER, Ajami NJ, Petrosino JF, Bryan NS. Frequency of Tongue Cleaning Impacts the Human Tongue Microbiome Composition and Enterosalivary Circulation of Nitrate. Front Cell Infect Microbiol 2019; 9:39. [PMID: 30881924 PMCID: PMC6406172 DOI: 10.3389/fcimb.2019.00039] [Citation(s) in RCA: 60] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2018] [Accepted: 02/07/2019] [Indexed: 01/25/2023] Open
Abstract
The oral microbiome has the potential to provide an important symbiotic function in human blood pressure physiology by contributing to the generation of nitric oxide (NO), an essential cardiovascular signaling molecule. NO is produced by the human body via conversion of arginine to NO by endogenous nitric oxide synthase (eNOS) but eNOS activity varies by subject. Oral microbial communities are proposed to supplement host NO production by reducing dietary nitrate to nitrite via bacterial nitrate reductases. Unreduced dietary nitrate is delivered to the oral cavity in saliva, a physiological process termed the enterosalivary circulation of nitrate. Previous studies demonstrated that disruption of enterosalivary circulation via use of oral antiseptics resulted in increases in systolic blood pressure. These previous studies did not include detailed information on the oral health of enrolled subjects. Using 16S rRNA gene sequencing and analysis, we determined whether introduction of chlorhexidine antiseptic mouthwash for 1 week was associated with changes in tongue bacterial communities and resting systolic blood pressure in healthy normotensive individuals with documented oral hygiene behaviors and free of oral disease. Tongue cleaning frequency was a predictor of chlorhexidine-induced changes in systolic blood pressure and tongue microbiome composition. Twice-daily chlorhexidine usage was associated with a significant increase in systolic blood pressure after 1 week of use and recovery from use resulted in an enrichment in nitrate-reducing bacteria on the tongue. Individuals with relatively high levels of bacterial nitrite reductases had lower resting systolic blood pressure. These results further support the concept of a symbiotic oral microbiome contributing to human health via the enterosalivary nitrate-nitrite-NO pathway. These data suggest that management of the tongue microbiome by regular cleaning together with adequate dietary intake of nitrate provide an opportunity for the improvement of resting systolic blood pressure.
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Affiliation(s)
- Gena D. Tribble
- Department of Periodontics, School of Dentistry, The University of Texas Health Science Center Houston, Houston, TX, United States
| | - Nikola Angelov
- Department of Periodontics, School of Dentistry, The University of Texas Health Science Center Houston, Houston, TX, United States
| | - Robin Weltman
- Department of Periodontics, School of Dentistry, The University of Texas Health Science Center Houston, Houston, TX, United States
| | - Bing-Yan Wang
- Department of Periodontics, School of Dentistry, The University of Texas Health Science Center Houston, Houston, TX, United States
| | - Sridhar V. Eswaran
- Department of Periodontics, School of Dentistry, The University of Texas Health Science Center Houston, Houston, TX, United States
| | - Isabel C. Gay
- Department of Periodontics, School of Dentistry, The University of Texas Health Science Center Houston, Houston, TX, United States
| | - Kavitha Parthasarathy
- Department of Periodontics, School of Dentistry, The University of Texas Health Science Center Houston, Houston, TX, United States
| | - Doan-Hieu V. Dao
- Department of Periodontics, School of Dentistry, The University of Texas Health Science Center Houston, Houston, TX, United States
| | - Katherine N. Richardson
- Department of Periodontics, School of Dentistry, The University of Texas Health Science Center Houston, Houston, TX, United States
| | - Nadia M. Ismail
- Department of Periodontics, School of Dentistry, The University of Texas Health Science Center Houston, Houston, TX, United States
| | - Iraida G. Sharina
- Division of Cardiology, Department of Internal Medicine, McGovern Medical School, The University of Texas Health Science Center Houston, Houston, TX, United States
| | | | - Nadim J. Ajami
- Alkek Center for Metagenomics and Microbiome Research, Baylor College of Medicine, Houston, TX, United States
- Department of Molecular Virology and Microbiology, Baylor College of MedicineHouston, TX, United States
| | - Joseph F. Petrosino
- Alkek Center for Metagenomics and Microbiome Research, Baylor College of Medicine, Houston, TX, United States
- Department of Molecular Virology and Microbiology, Baylor College of MedicineHouston, TX, United States
| | - Nathan S. Bryan
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, United States
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Oluwagbemi O, Jatto A. Implementation of a TCM-based computational health informatics diagnostic tool for Sub-Saharan African students. INFORMATICS IN MEDICINE UNLOCKED 2019. [DOI: 10.1016/j.imu.2018.12.002] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023] Open
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Xu J, Xiang C, Zhang C, Xu B, Wu J, Wang R, Yang Y, Shi L, Zhang J, Zhan Z. Microbial biomarkers of common tongue coatings in patients with gastric cancer. Microb Pathog 2018; 127:97-105. [PMID: 30508628 DOI: 10.1016/j.micpath.2018.11.051] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2018] [Revised: 09/29/2018] [Accepted: 11/29/2018] [Indexed: 12/17/2022]
Abstract
PURPOSE The study aims to explore the characteristic microorganisms of the common tongue coatings in patients with gastric cancer (GC). METHODS A total of 115 GC patients were assigned to four groups: White-thin coating (W-thin) group, White-thick coating (W-thick) group, Yellow-thin coating (Y-thin) group and Yellow-thick coating (Y-thick) group. Thirty-five healthy volunteers with White-thin coating were recruit as controls. High-throughput sequencing was used to describe the microbial community of the tongue coatings based on 16S rRNA and 18S rRNA genes. Multi-factors statistical analysis was carried out to present the microbial biomarkers of the tongue coating in GC patients. RESULTS At bacterial phylum level, Saccharibacteria had higher relative abundance in W-thick group than W-thin group, Proteobacteria was more abundant in W-thin group than Y-thick group and less abundant in Y-thick group than Y-thin group. At fungal genus level, Guehomyces and Aspergillus presented to be significantly different among the common tongue coatings. Forteen significantly increased taxa were sorted out as the microbial biomarkers of common tongue coatings by LEfSe and ROC analysis. At species level, bacterial Capnocytophaga leadbetteri and fungal Ampelomyces_sp_IRAN_1 may be the potential biomarkers of W-thin coating, four bacterial species (Megasphaera micronuciformis, Selenomonas sputigena ATCC 35185, Acinetobacter ursingii, Prevotella maculosa) may be the potential biomarkers of W-thick coating. In general, the white coatings held more complex commensal relationship than the yellow coatings. CONCLUSION The common tongue coating owned characteristic microorganisms and special commensal relationship in the GC patients.
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MESH Headings
- Aged
- Bacteria/classification
- Bacteria/genetics
- Cluster Analysis
- DNA, Bacterial/chemistry
- DNA, Bacterial/genetics
- DNA, Fungal/chemistry
- DNA, Fungal/genetics
- DNA, Ribosomal/chemistry
- DNA, Ribosomal/genetics
- Female
- Fungi/classification
- Fungi/genetics
- Humans
- Male
- Microbiota
- Middle Aged
- Phylogeny
- RNA, Ribosomal, 16S/genetics
- RNA, Ribosomal, 18S/genetics
- ROC Curve
- Sequence Analysis, DNA
- Stomach Neoplasms/microbiology
- Stomach Neoplasms/pathology
- Tongue/microbiology
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Affiliation(s)
- Jing Xu
- School of Medicine and Life Sciences, Nanjing University of Chinese Medicine, Nanjing, 210023, China
| | - Chunjie Xiang
- School of Medicine and Life Sciences, Nanjing University of Chinese Medicine, Nanjing, 210023, China
| | - Cong Zhang
- School of Medicine and Life Sciences, Nanjing University of Chinese Medicine, Nanjing, 210023, China
| | - Boqi Xu
- School of Medicine and Life Sciences, Nanjing University of Chinese Medicine, Nanjing, 210023, China
| | - Juan Wu
- School of Medicine and Life Sciences, Nanjing University of Chinese Medicine, Nanjing, 210023, China
| | - Ruiping Wang
- Department of Oncology, Jiangsu Province Hospital of Traditional Chinese Medicine, Nanjing, 210029, China
| | - Yaping Yang
- School of Basic Medicine, Nanjing University of Chinese Medicine, Nanjing, 210023, China
| | - Liyun Shi
- School of Medicine and Life Sciences, Nanjing University of Chinese Medicine, Nanjing, 210023, China
| | - Junfeng Zhang
- School of Medicine and Life Sciences, Nanjing University of Chinese Medicine, Nanjing, 210023, China.
| | - Zhen Zhan
- School of Medicine and Life Sciences, Nanjing University of Chinese Medicine, Nanjing, 210023, China.
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Wu J, Xu S, Xiang C, Cao Q, Li Q, Huang J, Shi L, Zhang J, Zhan Z. Tongue Coating Microbiota Community and Risk Effect on Gastric Cancer. J Cancer 2018; 9:4039-4048. [PMID: 30410609 PMCID: PMC6218773 DOI: 10.7150/jca.25280] [Citation(s) in RCA: 65] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2018] [Accepted: 08/25/2018] [Indexed: 12/13/2022] Open
Abstract
Background: Although oral hygiene and health have long been reported to be associated with increased risk of gastric cancer (GC), the direct relationship of oral microbes with the risk of GC have not been evaluated fully. We aimed to test whether tongue coating microbiome was associated with GC risk. Methods: Pyrosequencing of 16S rRNA gene of tongue coating microbiome was used in 57 newly diagnosed gastric adenocarcinomas and 80 healthy controls. Benjamini-Hochberg (BH) was applied for multiple comparison correction. Co-abundance group (CAGs) analysis was adopted. Results: We found that higher relative abundance of Firmicutes, and lower of Bacteroidetes were associated with increased risk of GC. In genus level, Streptococcus trended with a higher risk of GC, the four other genera (Neisseria, Prevotella, Prevotella7, and Porphyromonas) were found to have a decreased risk of GC. Different from overall GC and non-cardia cancer, Alloprevotella and Veillonella trended with the higher risk of cardia cancer. Finally, we analyzed the microbiota by determining CAGs and six clusters were identified. Except the Cluster 2 (mainly Streptococcus and Abiotrophia), the other clusters had an inverse association with GC. Of them, the Cluster 6 (mainly Prevotella and Prevotella7 etc) had a relatively good classification power with 0.76 of AUC. Conclusion: Microbiome in tongue coating may have potential guiding value for early detection and prevention of GC.
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Affiliation(s)
- Juan Wu
- School of Medicine and Life Sciences, Nanjing University of Chinese Medicine, 138 Xianlin Road, Nanjing 210023, China
| | - Shuo Xu
- School of Medicine and Life Sciences, Nanjing University of Chinese Medicine, 138 Xianlin Road, Nanjing 210023, China
| | - Chunjie Xiang
- School of Medicine and Life Sciences, Nanjing University of Chinese Medicine, 138 Xianlin Road, Nanjing 210023, China
| | - Qinhong Cao
- Department of Digestive Tumor Surgery, Jiangsu Province Hospital of Traditional Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China
| | - Qiyi Li
- School of Medicine and Life Sciences, Nanjing University of Chinese Medicine, 138 Xianlin Road, Nanjing 210023, China
| | - Jiaqian Huang
- School of Medicine and Life Sciences, Nanjing University of Chinese Medicine, 138 Xianlin Road, Nanjing 210023, China
| | - Liyun Shi
- School of Medicine and Life Sciences, Nanjing University of Chinese Medicine, 138 Xianlin Road, Nanjing 210023, China
| | - Junfeng Zhang
- School of Medicine and Life Sciences, Nanjing University of Chinese Medicine, 138 Xianlin Road, Nanjing 210023, China
- Jiangsu Collaborative Innovation Center Medicine (TCM) Prevention and Treatment of Tumor, Nanjing University of Chinese Medicine, 138 Xianlin Road, Nanjing 210023, China
| | - Zhen Zhan
- School of Medicine and Life Sciences, Nanjing University of Chinese Medicine, 138 Xianlin Road, Nanjing 210023, China
- Jiangsu Collaborative Innovation Center Medicine (TCM) Prevention and Treatment of Tumor, Nanjing University of Chinese Medicine, 138 Xianlin Road, Nanjing 210023, China
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Neyraud E, Morzel M. Biological films adhering to the oral soft tissues: Structure, composition, and potential impact on taste perception. J Texture Stud 2018; 50:19-26. [PMID: 30226267 DOI: 10.1111/jtxs.12363] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2018] [Revised: 07/10/2018] [Accepted: 09/07/2018] [Indexed: 12/22/2022]
Abstract
The role of free-flowing saliva in taste perception is increasingly recognized, but saliva is also present in the mouth as films intimately associated to soft or hard tissues. On mucosal surfaces, particularly on the tongue, the structure and composition of such films (including its microbial constitutive part) may play a particular role in the sense of taste due to their proximity with the taste anatomical structures. This review compiles the current knowledge on the structure of biological films adhering to oral mucosae and on their biochemical and microbiological composition, before presenting possible implications for taste perception. PRACTICAL APPLICATIONS: The understanding of the role of oral biological films on taste perception may provide new avenues of research and development for the industry or academia interested broadly in chemosensation.
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Affiliation(s)
- Eric Neyraud
- Centre des Sciences du Goût et de l'Alimentation, AgroSup Dijon, CNRS, INRA, Université de Bourgogne Franche-Comté, Dijon, France
| | - Martine Morzel
- Centre des Sciences du Goût et de l'Alimentation, AgroSup Dijon, CNRS, INRA, Université de Bourgogne Franche-Comté, Dijon, France
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45
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Exploring pathogenesis in subjects with subjective Tinnitus having kidney deficiency pattern in terms of Traditional Chinese Medicine based on serum metabolic profiles. J TRADIT CHIN MED 2018. [DOI: 10.1016/s0254-6272(18)30918-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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46
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Flaherty BR, Talundzic E, Barratt J, Kines KJ, Olsen C, Lane M, Sheth M, Bradbury RS. Restriction enzyme digestion of host DNA enhances universal detection of parasitic pathogens in blood via targeted amplicon deep sequencing. MICROBIOME 2018; 6:164. [PMID: 30223888 PMCID: PMC6142370 DOI: 10.1186/s40168-018-0540-2] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/09/2018] [Accepted: 08/29/2018] [Indexed: 05/20/2023]
Abstract
BACKGROUND Targeted amplicon deep sequencing (TADS) of the 16S rRNA gene is commonly used to explore and characterize bacterial microbiomes. Meanwhile, attempts to apply TADS to the detection and characterization of entire parasitic communities have been hampered since conserved regions of many conserved parasite genes, such as the 18S rRNA gene, are also conserved in their eukaryotic hosts. As a result, targeted amplification of 18S rRNA from clinical samples using universal primers frequently results in competitive priming and preferential amplification of host DNA. Here, we describe a novel method that employs a single pair of universal primers to capture all blood-borne parasites while reducing host 18S rRNA template and enhancing the amplification of parasite 18S rRNA for TADS. This was achieved using restriction enzymes to digest the 18S rRNA gene at cut sites present only in the host sequence prior to PCR amplification. RESULTS This method was validated against 16 species of blood-borne helminths and protozoa. Enzyme digestion prior to PCR enrichment and Illumina amplicon deep sequencing led to a substantial reduction in human reads and a corresponding 5- to 10-fold increase in parasite reads relative to undigested samples. This method allowed for discrimination of all common parasitic agents found in human blood, even in cases of multi-parasite infection, and markedly reduced the limit of detection in digested versus undigested samples. CONCLUSIONS The results herein provide a novel methodology for the reduction of host DNA prior to TADS and establish the validity of a next-generation sequencing-based platform for universal parasite detection.
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Affiliation(s)
- Briana R Flaherty
- Parasitic Diseases Branch, Division of Parasitic Diseases and Malaria, Centers for Disease Control and Prevention, 1600 Clifton Road, Atlanta, GA, 30329, USA
- Oak Ridge Institute for Science and Education, 100 ORAU Way, Oak Ridge, TN, 37830, USA
| | - Eldin Talundzic
- Malaria Branch, Division of Parasitic Diseases and Malaria, Centers for Disease Control and Prevention, 1600 Clifton Road, Atlanta, GA, 30329, USA
| | - Joel Barratt
- Parasitic Diseases Branch, Division of Parasitic Diseases and Malaria, Centers for Disease Control and Prevention, 1600 Clifton Road, Atlanta, GA, 30329, USA
- Oak Ridge Institute for Science and Education, 100 ORAU Way, Oak Ridge, TN, 37830, USA
| | - Kristine J Kines
- Parasitic Diseases Branch, Division of Parasitic Diseases and Malaria, Centers for Disease Control and Prevention, 1600 Clifton Road, Atlanta, GA, 30329, USA
| | - Christian Olsen
- Pacific Biosciences, 1380 Willow Road, Menlo Park, CA, 94025, USA
| | - Meredith Lane
- Parasitic Diseases Branch, Division of Parasitic Diseases and Malaria, Centers for Disease Control and Prevention, 1600 Clifton Road, Atlanta, GA, 30329, USA
- IHRC, Inc., 2 Ravinia Drive, Atlanta, GA, 30346, USA
| | - Mili Sheth
- Biotechnology Core Facility, Centers for Disease Control and Prevention, 1600 Clifton Road, Atlanta, GA, 30329, USA
| | - Richard S Bradbury
- Parasitic Diseases Branch, Division of Parasitic Diseases and Malaria, Centers for Disease Control and Prevention, 1600 Clifton Road, Atlanta, GA, 30329, USA.
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Zhao Y, Mao YF, Tang YS, Ni MZ, Liu QH, Wang Y, Feng Q, Peng JH, Hu YY. Altered oral microbiota in chronic hepatitis B patients with different tongue coatings. World J Gastroenterol 2018; 24:3448-3461. [PMID: 30122883 PMCID: PMC6092577 DOI: 10.3748/wjg.v24.i30.3448] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2018] [Revised: 06/08/2018] [Accepted: 06/25/2018] [Indexed: 02/06/2023] Open
Abstract
AIM To elucidate tongue coating microbiota and metabolic differences in chronic hepatitis B (CHB) patients with yellow or white tongue coatings.
METHODS Tongue coating samples were collected from 53 CHB patients (28 CHB yellow tongue coating patients and 25 CHB white tongue coating patients) and 22 healthy controls. Microbial DNA was extracted from the tongue samples, and the bacterial 16S ribosomal RNA gene V3 region was amplified from all samples and sequenced with the Ion Torrent PGM™ sequencing platform according to the standard protocols. The metabolites in the tongue coatings were evaluated using a liquid chromatography-mass spectrometry (LC-MS) platform. Statistical analyses were then performed.
RESULTS The relative compositions of the tongue coating microbiotas and metabolites in the CHB patients were significantly different from those of the healthy controls, but the tongue coating microbiota abundances and diversity levels were not significantly different. Compared with the CHB white tongue coating patients, the CHB yellow tongue coating patients had higher hepatitis B viral DNA (HBV-DNA) titers (median 21210 vs 500, respectively, P = 0.03) and a significantly lower level of Bacteroidetes (20.14% vs 27.93%, respectively, P = 0.013) and higher level of Proteobacteria (25.99% vs 18.17%, respectively, P = 0.045) in the microbial compositions at the phylum level. The inferred metagenomic pathways enriched in the CHB yellow tongue coating patients were mainly those involved in amino acid metabolism, which was consistent with the metabolic disorder. The abundances of bacteria from Bacteroidales at the order level were higher in the CHB white tongue coating patients (19.2% vs 27.22%, respectively, P = 0.011), whereas Neisseriales were enriched in the yellow tongue coating patients (21.85% vs 13.83%, respectively, P = 0.029). At the family level, the abundance of Neisseriaceae in the yellow tongue patients was positively correlated with the HBV-DNA level but negatively correlated with the S-adenosyl-L-methionine level.
CONCLUSION This research illustrates specific clinical features and bacterial structures in CHB patients with different tongue coatings, which facilitates understanding of the traditional tongue diagnosis.
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Affiliation(s)
- Yu Zhao
- Institute of Liver Diseases, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Yu-Feng Mao
- Institute of Liver Diseases, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Yi-Shuang Tang
- Institute of Liver Diseases, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Ming-Zhu Ni
- Institute of Liver Diseases, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Qiao-Hong Liu
- Institute of Liver Diseases, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Yan Wang
- Institute of Liver Diseases, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Qin Feng
- Institute of Liver Diseases, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Jing-Hua Peng
- Institute of Liver Diseases, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Yi-Yang Hu
- Institute of Liver Diseases, Key Laboratory of Liver and Kidney Diseases (Ministry of Education), Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
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The Associations between Biochemical and Microbiological Variables and Taste Differ in Whole Saliva and in the Film Lining the Tongue. BIOMED RESEARCH INTERNATIONAL 2018; 2018:2838052. [PMID: 30013981 PMCID: PMC6022264 DOI: 10.1155/2018/2838052] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/10/2018] [Accepted: 05/21/2018] [Indexed: 02/06/2023]
Abstract
The objective of this work was to investigate whether the biological film lining the tongue may play a role in taste perception. For that purpose, the tongue film and saliva of 21 healthy subjects were characterized, focusing on microorganisms and their main metabolic substrates and products. In parallel, taste sensitivity was evaluated using a test recently developed by our group, and the links between biological and sensory data were explored by a correlative approach. Saliva and tongue film differed significantly in biochemical composition (proportions of glucose, fructose, sucrose, and lactic, butyric, and acetic acids) and in microbiological profiles: compared to saliva, tongue film was characterized by significantly lower proportions of Bacteroidetes (p<0.001) and its main genus Prevotella (p<0.01) and significantly higher proportions of Firmicutes (p<0.01), Actinobacteria (p<0.001), and the genus Streptococcus (p<0.05). Generic taste sensitivity was linked to biological variables in the two compartments, but variables that appeared influent in saliva (flow, organic acids, proportion of Actinobacteria and Firmicutes) and in tongue film (sugars and proportions of Bacteroidetes) were not the same. This study points to two interesting areas in taste research: the oral microbiome and the specific characterization of the film lining the tongue.
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Tomooka K, Saito I, Furukawa S, Maruyama K, Eguchi E, Iso H, Tanigawa T. Yellow Tongue Coating is Associated With Diabetes Mellitus Among Japanese Non-smoking Men and Women: The Toon Health Study. J Epidemiol 2018; 28:287-291. [PMID: 29311441 PMCID: PMC5976872 DOI: 10.2188/jea.je20160169] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2016] [Accepted: 05/25/2017] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND Yellow tongue coating is one of the clinical signs for diabetes mellitus according to traditional East Asian medicine. Few reports have been available on the association between yellow tongue coating and the prevalence of type 2 diabetes in the general population. We examined that association among population samples of non-smoking men and women. METHODS The study subjects were Japanese non-smoking men (n = 315) and women (n = 654) aged 30-79 years who resided in Toon city and participated in the Toon Health Study from July 2011 through November 2014. Tongue coating was assessed by a nationally licensed acupuncturist and classified into three categories of white (normal), light yellow, and yellow. We performed an oral glucose tolerance test to confirm the presence of diabetes mellitus and prediabetes. The associations between yellow tongue coating and the prevalence of diabetes mellitus and prediabetes were examined using multivariable logistic regression analyses, adjusting for age, sex, body mass index, drinking status, and physical activity. RESULTS The multivariable odds ratios of diabetes mellitus were 1.39 (95% confidence interval [CI], 0.72-2.67) for light yellow tongue coating and 2.23 (95% CI, 1.16-4.30) for yellow tongue coating compared with white tongue coating. The respective multivariable odds ratios of prediabetes were 1.13 (95% CI, 0.80-1.61) and 1.43 (95% CI, 0.96-2.12). CONCLUSIONS Yellow tongue coating was associated with higher prevalence of diabetes mellitus and tended to be associated with that of prediabetes among Japanese non-smoking men and women.
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Affiliation(s)
- Kiyohide Tomooka
- Department of Public Health, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Isao Saito
- Department of Community Health Systems Nursing, Ehime University Graduate School of Medicine, Ehime, Japan
| | - Shinya Furukawa
- Department of Epidemiology and Preventive Medicine, Ehime University Graduate School of Medicine, Ehime, Japan
| | - Koutatsu Maruyama
- Department of Public Health, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Eri Eguchi
- Department of Public Health, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
| | - Hiroyasu Iso
- Department of Public Health, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Takeshi Tanigawa
- Department of Public Health, Juntendo University Graduate School of Medicine, Tokyo, Japan
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Yang X, Zhu CH, Cao R, Hao J, Wu XZ. Sublingual Nodules: Diagnostic Markers of Metastatic Breast Cancer. Chin J Integr Med 2018; 24:741-745. [PMID: 29667148 DOI: 10.1007/s11655-018-2837-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/30/2016] [Indexed: 11/26/2022]
Abstract
OBJECTIVE To evaluate the diagnostic significance of sublingual nodules for metastasis of patients with breast cancer and further to explore the mechanisms of sublingual nodules. METHODS The image data of 117 in-patients with breast cancer in stage I-IV in Tianjin Medical University Cancer Institute and Hospital from December 2009 to September 2011 were assessed retrospectively. All photos of patients' tongue were recorded by the digital camera of uniform type within 1 month after serological examination and regular re-examined by computed tomography (CT), magnetic resonance imaging and positron emission tomography CT. The presence of sublingual nodules was the positive standard. Chi square test and two-independent-sample test were used to determine the diagnostic value between the status of sublingual nodules and Clinico-pathological characteristics. The optimal cut-off of uric acid (UA) level to diagnose sublingual nodules was determined by receiver operating curve (ROC) analysis. RESULTS Breast cancer patients with sublingual nodules had a higher risk of recurrence and/or metastasis than patients without it (P<0.001). Sublingual nodules was significantly correlated with increased serum UA level (P=0.001). The optimal cut-off value of UA level to diagnose sublingual nodules was 290 μmol/L. Furthermore, the elevated serum UA level (≥290 μmol/L) was significantly related to breast cancer recurrence and/or metastasis (P<0.001). CONCLUSIONS Sublingual nodules were potential diagnostic markers for metastatic breast cancer. The formation of sublingual nodules was associated with elevated level of serum UA.
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Affiliation(s)
- Xue Yang
- National Clinical Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, China
- Department of Medical Oncology, Tianjin Medical Universty General Hospital, Tianjin, 300052, China
| | - Cui-Hong Zhu
- Zhong-Shan-Men In-patient Department, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300171, China
| | - Rui Cao
- National Clinical Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, China
| | - Jian Hao
- National Clinical Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, China
| | - Xiong-Zhi Wu
- National Clinical Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, China.
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