Pub Date : 2012-10-04DOI: 10.1109/BIBMW.2012.6470356
Xiaohong Xu, Shudong Chen, Xiaoling Xu
[Purpose] This study aimed to evaluate the immediate effects of Balancing acupuncture as adjuvant therapy for patients with acute lumbar disc herniation (ALDH). [Method] We recruited 47 patients with ALDH in Orthopedic therapy center of Guangdong Provincial Hospital of Chinese Medicine in China. McGill pain questionnaire (MPQ) and clinical effects of Balancing acupuncture were measured. [Results] We found that no case showed clinical cure, 42 cases showed improvement, while 5 cases showed ineffectiveness, indicating an improvement rate of 89.4%. Immediate MPQ total score after Balancing acupuncture was lower than before treatment, which showed a statistical significance between them (P=0.0000<;0.05). Differences in PRI, VAS, and PPI reached statistical significance (P<;0.05). A statistically significant difference was found in Pain perception score before and after treatment (P=0.0125<;0.05), while pain emotion score failed to reach statistical significance (P=0.6983>0.05). [Conclusions] The results suggested that Balancing acupuncture may lead to immediate benefits for patients with ALDH.
{"title":"A novel acupuncture for killing lumbago: Immediate effects of balancing acupuncture for acute lumbar disc herniation","authors":"Xiaohong Xu, Shudong Chen, Xiaoling Xu","doi":"10.1109/BIBMW.2012.6470356","DOIUrl":"https://doi.org/10.1109/BIBMW.2012.6470356","url":null,"abstract":"[Purpose] This study aimed to evaluate the immediate effects of Balancing acupuncture as adjuvant therapy for patients with acute lumbar disc herniation (ALDH). [Method] We recruited 47 patients with ALDH in Orthopedic therapy center of Guangdong Provincial Hospital of Chinese Medicine in China. McGill pain questionnaire (MPQ) and clinical effects of Balancing acupuncture were measured. [Results] We found that no case showed clinical cure, 42 cases showed improvement, while 5 cases showed ineffectiveness, indicating an improvement rate of 89.4%. Immediate MPQ total score after Balancing acupuncture was lower than before treatment, which showed a statistical significance between them (P=0.0000<;0.05). Differences in PRI, VAS, and PPI reached statistical significance (P<;0.05). A statistically significant difference was found in Pain perception score before and after treatment (P=0.0125<;0.05), while pain emotion score failed to reach statistical significance (P=0.6983>0.05). [Conclusions] The results suggested that Balancing acupuncture may lead to immediate benefits for patients with ALDH.","PeriodicalId":6392,"journal":{"name":"2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79925725","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-10-04DOI: 10.1109/BIBMW.2012.6470269
Teng L. Liu, Yu Zhang, J. Dennis
Several studies show that nucleosome occupancy patterns around transcription starting sites provide evolutionary and regulatory information about genes. However, as transcription starting sites may not accurately reflect physical nucleosome occupancy patterns, clustering of nucleosome occupancy patterns centered at transcription starting sites may give rise to inaccurate and blurred cluster centers, leading to potentially inaccurate conclusions. In this paper, we propose a joint clustering and alignment method and apply it to clustering of nucleosome occupancy patterns around transcription starting sites. The experimental results using the human genome-wide data show that alignment affects the significant majority of genes and leads to more pronounced local nucleosome occupancy patterns.
{"title":"Joint clustering and alignment for nucleosome occupancy analysis","authors":"Teng L. Liu, Yu Zhang, J. Dennis","doi":"10.1109/BIBMW.2012.6470269","DOIUrl":"https://doi.org/10.1109/BIBMW.2012.6470269","url":null,"abstract":"Several studies show that nucleosome occupancy patterns around transcription starting sites provide evolutionary and regulatory information about genes. However, as transcription starting sites may not accurately reflect physical nucleosome occupancy patterns, clustering of nucleosome occupancy patterns centered at transcription starting sites may give rise to inaccurate and blurred cluster centers, leading to potentially inaccurate conclusions. In this paper, we propose a joint clustering and alignment method and apply it to clustering of nucleosome occupancy patterns around transcription starting sites. The experimental results using the human genome-wide data show that alignment affects the significant majority of genes and leads to more pronounced local nucleosome occupancy patterns.","PeriodicalId":6392,"journal":{"name":"2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82713956","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-10-04DOI: 10.1109/BIBM.2012.6392725
I. Hashmi, Amarda Shehu
We present a novel probabilistic search algorithm to efficiently search the structure space of protein dimers. The algorithm is based on the basin hopping framework that repeatedly follows up structural perturbation with energy minimization to obtain a coarse-grained view of the dimeric energy surface in terms of its local minima. A Metropolis criterion biases the search towards lower-energy minima over time. Extensive analysis highlights efficient and effective implementations for the perturbation and minimization components. Testing on a broad list of dimers shows the algorithm recovers the native dimeric configuration with great accuracy and produces many minima near the native configuration. The algorithm can be employed to efficiently produce relevant decoys that can be further refined at greater detail to predict the native configuration.
{"title":"A basin hopping algorithm for protein-protein docking","authors":"I. Hashmi, Amarda Shehu","doi":"10.1109/BIBM.2012.6392725","DOIUrl":"https://doi.org/10.1109/BIBM.2012.6392725","url":null,"abstract":"We present a novel probabilistic search algorithm to efficiently search the structure space of protein dimers. The algorithm is based on the basin hopping framework that repeatedly follows up structural perturbation with energy minimization to obtain a coarse-grained view of the dimeric energy surface in terms of its local minima. A Metropolis criterion biases the search towards lower-energy minima over time. Extensive analysis highlights efficient and effective implementations for the perturbation and minimization components. Testing on a broad list of dimers shows the algorithm recovers the native dimeric configuration with great accuracy and produces many minima near the native configuration. The algorithm can be employed to efficiently produce relevant decoys that can be further refined at greater detail to predict the native configuration.","PeriodicalId":6392,"journal":{"name":"2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80556549","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-10-04DOI: 10.1109/BIBM.2012.6392714
Xingchi Hu, Yanhong Zhou, Chuang Ma
Drosha is a class of RNase III enzyme plays important roles in the microRNA (miRNA) generation by cleaving primary miRNAs to release hairpin-shaped miRNA precursors. Accurately predicting the Drosha cleavage positions (i.e., processing sites) is helpful for the identification of miRNAs and the understanding of miRNA biogenesis mechanisms. In this study, we presented a Drosha processing site predictor, termed DroshaPSP, with a two-step prediction model by integrating structure and sequence features. Testing results on the Drosophila melanogaster miRNA data showed that DroshaPSP obtained a sensitivity of 0.859, a specificity of 0.999, and a Matthew's Correlation Coefficient of 0.864. We also found that the Shannon entropy is a powerful structure feature for DroshaPSP to distinguish true Drosha processing sites from the nearby pseudo processing sites effectively.
{"title":"Recognizing drosha processing sites by a two-step prediction model with structure and sequence information","authors":"Xingchi Hu, Yanhong Zhou, Chuang Ma","doi":"10.1109/BIBM.2012.6392714","DOIUrl":"https://doi.org/10.1109/BIBM.2012.6392714","url":null,"abstract":"Drosha is a class of RNase III enzyme plays important roles in the microRNA (miRNA) generation by cleaving primary miRNAs to release hairpin-shaped miRNA precursors. Accurately predicting the Drosha cleavage positions (i.e., processing sites) is helpful for the identification of miRNAs and the understanding of miRNA biogenesis mechanisms. In this study, we presented a Drosha processing site predictor, termed DroshaPSP, with a two-step prediction model by integrating structure and sequence features. Testing results on the Drosophila melanogaster miRNA data showed that DroshaPSP obtained a sensitivity of 0.859, a specificity of 0.999, and a Matthew's Correlation Coefficient of 0.864. We also found that the Shannon entropy is a powerful structure feature for DroshaPSP to distinguish true Drosha processing sites from the nearby pseudo processing sites effectively.","PeriodicalId":6392,"journal":{"name":"2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82744774","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-10-04DOI: 10.1109/BIBMW.2012.6470229
L. C. Galvao, L. Nunes, H. S. Lopes, P. Moscato
In spite of the fact that many models of protein structure prediction have been proposed and have also been widely studied in the last years, little attention has been given to the discrete models with side chains. Few papers present algorithms that try to predict the 3 dimensional structures of protein from their amino acid sequences represented by a backbone and the side chains (hydrophobic or hydrophilic). In this paper, we propose a new greedy heuristic with a pull-move set for finding these structures to the 3DHP-SC model, i.e. for a three-dimensional model on a cubic lattice, with side chains. To demonstrate the performance of our method, we have used 25 benchmark instances from the literature. For the instances tested, the proposed technique matched the best known results for 12 instances and obtained better results for the other 13. The computational resources that we have used have been relatively limited in comparison with other studies in the literature, and the quality of our results shows the potential of the approach both in terms of quality and total computation time.
{"title":"A new greedy heuristic for 3DHP protein struture prediction with side chain","authors":"L. C. Galvao, L. Nunes, H. S. Lopes, P. Moscato","doi":"10.1109/BIBMW.2012.6470229","DOIUrl":"https://doi.org/10.1109/BIBMW.2012.6470229","url":null,"abstract":"In spite of the fact that many models of protein structure prediction have been proposed and have also been widely studied in the last years, little attention has been given to the discrete models with side chains. Few papers present algorithms that try to predict the 3 dimensional structures of protein from their amino acid sequences represented by a backbone and the side chains (hydrophobic or hydrophilic). In this paper, we propose a new greedy heuristic with a pull-move set for finding these structures to the 3DHP-SC model, i.e. for a three-dimensional model on a cubic lattice, with side chains. To demonstrate the performance of our method, we have used 25 benchmark instances from the literature. For the instances tested, the proposed technique matched the best known results for 12 instances and obtained better results for the other 13. The computational resources that we have used have been relatively limited in comparison with other studies in the literature, and the quality of our results shows the potential of the approach both in terms of quality and total computation time.","PeriodicalId":6392,"journal":{"name":"2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81053994","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-10-04DOI: 10.1109/BIBMW.2012.6470347
Jian Li, D. Guo, Liu Jinwen, Jian-ke Pan, Lufeng Huang, Jun Liu
Liu Jinwen is Professor of Guangzhou University of Chinese Medicine of Traditional Chinese medicine bone-setting professional doctoral tutor and postdoctoral supervisor, one of the veteran TCM experts of Guangdong Province. Former director of the department of orthopedics of Guangdong Provencal Hospital of TCM. Over the past 50 years, Professor Liu Jensen has been engaged in research on prevention and treatment of bone and joint degenerative diseases of TCM and expert in theory of TCM research. He always emphasized on the prevention and treatment of diseases in clinical practice to follow the overall concept, principle of correspondence between man and universe and treatment based on syndrome differentiation. Knowledge about osteoarthritis of the knee, in his view, is not just a local issue, but overall to reflect local, and stresses therefore that on the treatment measures must be taken to proceed from the overall, good results can be achieved, overall is strengthening healthy Qi, conditioning of yin and Yang to restore homeostasis.
{"title":"Prof. Liu Jinwen's experience on treating knee osteoarthritis","authors":"Jian Li, D. Guo, Liu Jinwen, Jian-ke Pan, Lufeng Huang, Jun Liu","doi":"10.1109/BIBMW.2012.6470347","DOIUrl":"https://doi.org/10.1109/BIBMW.2012.6470347","url":null,"abstract":"Liu Jinwen is Professor of Guangzhou University of Chinese Medicine of Traditional Chinese medicine bone-setting professional doctoral tutor and postdoctoral supervisor, one of the veteran TCM experts of Guangdong Province. Former director of the department of orthopedics of Guangdong Provencal Hospital of TCM. Over the past 50 years, Professor Liu Jensen has been engaged in research on prevention and treatment of bone and joint degenerative diseases of TCM and expert in theory of TCM research. He always emphasized on the prevention and treatment of diseases in clinical practice to follow the overall concept, principle of correspondence between man and universe and treatment based on syndrome differentiation. Knowledge about osteoarthritis of the knee, in his view, is not just a local issue, but overall to reflect local, and stresses therefore that on the treatment measures must be taken to proceed from the overall, good results can be achieved, overall is strengthening healthy Qi, conditioning of yin and Yang to restore homeostasis.","PeriodicalId":6392,"journal":{"name":"2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90906109","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-10-04DOI: 10.1109/BIBM.2012.6392624
Yongguo Mei, R. Hontecillas, Xiaoying Zhang, K. Bisset, S. Eubank, S. Hoops, M. Marathe, J. Bassaganya-Riera
This paper presents ENISI Visual, an agent-based simulator for modeling gut immunity to enteric pathogens. Gastrointestinal systems are important for in-taking food and other nutritions and gut immunity is an important part of human immune system. ENISI Visual provides quality visualizations and users can control initial cell concentrations and the simulation speed, take snapshots, and record videos. The cells are represented with different icons and the icons change colors as their states change. Users can observe real-time immune responses, including cell recruitment, cytokine and chemokine secretion and dissipation, random or chemotactic movement, cell-cell interactions, and state changes. The case study clearly shows that users can use ENISI Visual to develop models and run novel and insightful in silico experiments.
{"title":"ENISI Visual, an agent-based simulator for modeling gut immunity","authors":"Yongguo Mei, R. Hontecillas, Xiaoying Zhang, K. Bisset, S. Eubank, S. Hoops, M. Marathe, J. Bassaganya-Riera","doi":"10.1109/BIBM.2012.6392624","DOIUrl":"https://doi.org/10.1109/BIBM.2012.6392624","url":null,"abstract":"This paper presents ENISI Visual, an agent-based simulator for modeling gut immunity to enteric pathogens. Gastrointestinal systems are important for in-taking food and other nutritions and gut immunity is an important part of human immune system. ENISI Visual provides quality visualizations and users can control initial cell concentrations and the simulation speed, take snapshots, and record videos. The cells are represented with different icons and the icons change colors as their states change. Users can observe real-time immune responses, including cell recruitment, cytokine and chemokine secretion and dissipation, random or chemotactic movement, cell-cell interactions, and state changes. The case study clearly shows that users can use ENISI Visual to develop models and run novel and insightful in silico experiments.","PeriodicalId":6392,"journal":{"name":"2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90960172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-10-04DOI: 10.1109/BIBMW.2012.6470295
J. B. Brown, S. Niijima, A. Shiraishi, M. Nakatsui, Y. Okuno
Chemogenomics has emerged as an interdisciplinary field that aims to ultimately identify all possible ligands of all target families in a systematic manner. An ever-increasing need to explore the vast space of both ligands and targets has recently triggered the development of novel computational techniques for chemogenomics, which have the potential to play a crucial role in drug discovery. Among others, a kernel-based machine learning approach has attracted increasing attention. Here, we explore the applicability of several ligand-target kernels by extensively evaluating the prediction performance of ligand-target interactions on five target families, and reveal how different combinations of ligand kernels and protein kernels affect the performance and also how the performance varies between the target families.
{"title":"Chemogenomic approach to comprehensive predictions of ligand-target interactions: A comparative study","authors":"J. B. Brown, S. Niijima, A. Shiraishi, M. Nakatsui, Y. Okuno","doi":"10.1109/BIBMW.2012.6470295","DOIUrl":"https://doi.org/10.1109/BIBMW.2012.6470295","url":null,"abstract":"Chemogenomics has emerged as an interdisciplinary field that aims to ultimately identify all possible ligands of all target families in a systematic manner. An ever-increasing need to explore the vast space of both ligands and targets has recently triggered the development of novel computational techniques for chemogenomics, which have the potential to play a crucial role in drug discovery. Among others, a kernel-based machine learning approach has attracted increasing attention. Here, we explore the applicability of several ligand-target kernels by extensively evaluating the prediction performance of ligand-target interactions on five target families, and reveal how different combinations of ligand kernels and protein kernels affect the performance and also how the performance varies between the target families.","PeriodicalId":6392,"journal":{"name":"2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90060651","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-10-04DOI: 10.1109/BIBMW.2012.6470264
Sagar Patel, H. Panchal, K. Anjaria
A multiple sequence alignment (MSA) is a sequence alignment of three or more biological sequences, generally for Protein. MSA has wide range of applications and to cite few of them such as phylogenetic analysis, protein pattern identification, protein domain identification, prediction of protein structure, structural similarity of amino acids and to get evolutionary similarity. ClustalW2 is a general purpose global multiple sequence alignment program for proteins. It produces biologically meaningful multiple sequence alignments of divergent sequences. The output from ClustalW2 shows the best match for the selected sequences and lines up them in such a way that the identities, similarities and differences can be easily understood. Evolutionary relationships can be seen by creating Cladograms or Phylograms. Firstly, individual weights are assigned to each sequence in a partial alignment in order to down-weight near-duplicate sequences and up-weight the most divergent ones. Secondly, amino acid substitution matrices are varied at different alignment stages according to the divergence of the sequences to be aligned. Thirdly, residue-specific gap penalties and locally reduced gap penalties in hydrophilic regions encourage new gaps in potential loop regions rather than regular secondary structure. Fourthly, positions in early alignments where gaps have been opened receive locally reduced gap penalties to encourage the opening up of new gaps at these positions. In this paper, protein sequences of few legume species from UNIPROT database were taken and focused on MSA for protein sequences for these tree species of family Leguminosae, where ClustalW2 tool have used to generate biological data. The results are discussed with the help of Cladograms and Phylograms for selected tree species.
{"title":"Phylogenetic analysis of some leguminous trees using CLUSTALW2 bioinformatics tool","authors":"Sagar Patel, H. Panchal, K. Anjaria","doi":"10.1109/BIBMW.2012.6470264","DOIUrl":"https://doi.org/10.1109/BIBMW.2012.6470264","url":null,"abstract":"A multiple sequence alignment (MSA) is a sequence alignment of three or more biological sequences, generally for Protein. MSA has wide range of applications and to cite few of them such as phylogenetic analysis, protein pattern identification, protein domain identification, prediction of protein structure, structural similarity of amino acids and to get evolutionary similarity. ClustalW2 is a general purpose global multiple sequence alignment program for proteins. It produces biologically meaningful multiple sequence alignments of divergent sequences. The output from ClustalW2 shows the best match for the selected sequences and lines up them in such a way that the identities, similarities and differences can be easily understood. Evolutionary relationships can be seen by creating Cladograms or Phylograms. Firstly, individual weights are assigned to each sequence in a partial alignment in order to down-weight near-duplicate sequences and up-weight the most divergent ones. Secondly, amino acid substitution matrices are varied at different alignment stages according to the divergence of the sequences to be aligned. Thirdly, residue-specific gap penalties and locally reduced gap penalties in hydrophilic regions encourage new gaps in potential loop regions rather than regular secondary structure. Fourthly, positions in early alignments where gaps have been opened receive locally reduced gap penalties to encourage the opening up of new gaps at these positions. In this paper, protein sequences of few legume species from UNIPROT database were taken and focused on MSA for protein sequences for these tree species of family Leguminosae, where ClustalW2 tool have used to generate biological data. The results are discussed with the help of Cladograms and Phylograms for selected tree species.","PeriodicalId":6392,"journal":{"name":"2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91325771","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-10-04DOI: 10.1109/BIBMW.2012.6470328
Nipeng Lin, Changeai Xie, Xiaohong Xu, W. Fu
Obsessive-compulsive disorder (obsessive - compulsive disorder) is a neurotic mental disorders characterized by the uncontrolled obsessions and compulsive behavior. Patients know that the continued obsessive-compulsive symptoms are pointless and unreasonable, but can not get rid of it. Therefore they feel very nervous and suffering. Acupuncture for obsessive - compulsive disorder guided by TCM Heart and Gall Theory can improve the blood supply in brain, adjust the HPA function, regulate immune function, bidirectionally regulate the release of SP and affect the metabolism of NE. Hence, the efficacy and effectiveness of acupuncture for OCD on TCM Heart-Gall Bladder Concept have been widely recognized.
{"title":"The mechanism of acupuncture for obsessive-complusive disorder on TCM heart-gallbladder concept","authors":"Nipeng Lin, Changeai Xie, Xiaohong Xu, W. Fu","doi":"10.1109/BIBMW.2012.6470328","DOIUrl":"https://doi.org/10.1109/BIBMW.2012.6470328","url":null,"abstract":"Obsessive-compulsive disorder (obsessive - compulsive disorder) is a neurotic mental disorders characterized by the uncontrolled obsessions and compulsive behavior. Patients know that the continued obsessive-compulsive symptoms are pointless and unreasonable, but can not get rid of it. Therefore they feel very nervous and suffering. Acupuncture for obsessive - compulsive disorder guided by TCM Heart and Gall Theory can improve the blood supply in brain, adjust the HPA function, regulate immune function, bidirectionally regulate the release of SP and affect the metabolism of NE. Hence, the efficacy and effectiveness of acupuncture for OCD on TCM Heart-Gall Bladder Concept have been widely recognized.","PeriodicalId":6392,"journal":{"name":"2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80409301","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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