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Journal articles on the topic 'Heterogeneous disease'

To see the other types of publications on this topic, follow the link: Heterogeneous disease.

Author: Grafiati

Published: 10 December 2022

Last updated: 28 January 2023

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1

Bhardwaj, Diwakar, and Anjani Rai. "Heterogeneous Clustering Network Chronic Kidney Disease Progression Mining (HCNCKPM)." Journal of Advanced Research in Dynamical and Control Systems 11, no. 11-SPECIAL ISSUE (November 29, 2019): 215–22. http://dx.doi.org/10.5373/jardcs/v11sp11/20192950.

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2

Wojnarowska, F., J. Allen, and P. Collier. "Linear IgA Disease: A Heterogeneous Disease." Dermatology 189, no. 1 (1994): 52–56. http://dx.doi.org/10.1159/000246930.

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3

Kossaï, Myriam, Alexandra Leary, Jean-Yves Scoazec, and Catherine Genestie. "Ovarian Cancer: A Heterogeneous Disease." Pathobiology 85, no. 1-2 (October 12, 2017): 41–49. http://dx.doi.org/10.1159/000479006.

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4

Martínez-García, Miguel Angel, Casilda Olveira, Luis Máiz, Rosa M. ª. Girón, Concepción Prados, David de la Rosa, Marina Blanco, and Alvar Agustí. "Bronchiectasis: A Complex, Heterogeneous Disease." Archivos de Bronconeumología (English Edition) 55, no. 8 (August 2019): 427–33. http://dx.doi.org/10.1016/j.arbr.2019.06.004.

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5

Katial, Rohit K. "Severe Asthma: A Heterogeneous Disease." Immunology and Allergy Clinics of North America 36, no. 3 (August 2016): xv—xvi. http://dx.doi.org/10.1016/j.iac.2016.05.001.

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6

Gao, Jianliang, Ling Tian, Jianxin Wang, Yibo Chen, Bo Song, and Xiaohua Hu. "Similar Disease Prediction With Heterogeneous Disease Information Networks." IEEE Transactions on NanoBioscience 19, no. 3 (July 2020): 571–78. http://dx.doi.org/10.1109/tnb.2020.2994983.

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7

S. Abdul-Kareem, Abdul-ghafoor. "Isolated renal hydatid disease (heterogeneous presentations )." Annals of the College of Medicine, Mosul 34, no. 1 (June 28, 2008): 21–27. http://dx.doi.org/10.33899/mmed.2008.8944.

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8

Scharff, Robert L., and Amber Jessup. "Evaluating Chronic Disease for Heterogeneous Populations." Medical Care 45, no. 9 (September 2007): 860–68. http://dx.doi.org/10.1097/mlr.0b013e3180618bac.

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9

Neri, I., A. Virdi, R. Balestri, and A. Patrizi. "Diffuse cutaneous mastocytosis: a heterogeneous disease." Archives of Disease in Childhood 98, no. 8 (April 20, 2013): 607. http://dx.doi.org/10.1136/archdischild-2013-303839.

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10

Dores, Graça M., Rayna K. Matsuno, Dennis D. Weisenburger, Philip S. Rosenberg, and William F. Anderson. "Hairy cell leukaemia: a heterogeneous disease?" British Journal of Haematology 142, no. 1 (July 2008): 45–51. http://dx.doi.org/10.1111/j.1365-2141.2008.07156.x.

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11

Shaw, Tony, Perry Elliott, and William J. McKenna. "Dilated cardiomyopathy: a genetically heterogeneous disease." Lancet 360, no. 9334 (August 2002): 654–55. http://dx.doi.org/10.1016/s0140-6736(02)09879-3.

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12

Parratt, Steven R., Elina Numminen, and Anna-Liisa Laine. "Infectious Disease Dynamics in Heterogeneous Landscapes." Annual Review of Ecology, Evolution, and Systematics 47, no. 1 (November 2016): 283–306. http://dx.doi.org/10.1146/annurev-ecolsys-121415-032321.

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13

Gultekin, Melis, Gulnihan Eren, Taner Babacan, Ferah Yildiz, Kadri Altundag, Nilufer Guler, Yavuz Ozisik, Gozde Yazici, Pervin Hurmuz, and Murat Gurkaynak. "Metaplastic Breast Carcinoma: a Heterogeneous Disease." Asian Pacific Journal of Cancer Prevention 15, no. 6 (March 30, 2014): 2851–56. http://dx.doi.org/10.7314/apjcp.2014.15.6.2851.

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14

Uchikado, Hirotake, Ang Li, Wen-Lang Lin, and Dennis W. Dickson. "Heterogeneous inclusions in neurofilament inclusion disease." Neuropathology 26, no. 5 (October 2006): 417–21. http://dx.doi.org/10.1111/j.1440-1789.2006.00709.x.

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15

Iqbal, K. "Alzheimer disease is multifactorial and heterogeneous." Neurobiology of Aging 21, no. 6 (December 2000): 901–2. http://dx.doi.org/10.1016/s0197-4580(00)00191-3.

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16

Wang, Vivian, Cheng Li, Ming Lin, William Welch, Deborah Bell, Yuk-Fu Wong, Ross Berkowitz, Samuel C. Mok, and Christina A. Bandera. "Ovarian cancer is a heterogeneous disease." Cancer Genetics and Cytogenetics 161, no. 2 (September 2005): 170–73. http://dx.doi.org/10.1016/j.cancergencyto.2004.12.014.

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17

Mistry, Pramod K. "Comprehensive Disease Management Model in Heterogeneous Progressive Disease, Exemplified by Gaucher Disease." Clinical Therapeutics 29 (January 2007): S79—S80. http://dx.doi.org/10.1016/s0149-2918(07)80456-5.

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18

Fauré, Sabine, Isabelle Bordelais, Catherine Marquette, Chris Rittey, Jaime Campos-Castello, Françoise Goutières, Gérard Ponsot, Jean Weissenbach, and Pierre Lebon. "Aicardi-Goutières syndrome: monogenic recessive disease, genetically heterogeneous disease, or multifactorial disease?" Clinical Genetics 56, no. 2 (August 1999): 149–53. http://dx.doi.org/10.1034/j.1399-0004.1999.560210.x.

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19

Nevsimalova, Sona, Marek Susta, Iva Prihodova, Eszter Maurovich Horvat, Martin Milata, and Karel Sonka. "Idiopathic hypersomnia: a homogeneous or heterogeneous disease?" Sleep Medicine 80 (April 2021): 86–91. http://dx.doi.org/10.1016/j.sleep.2021.01.031.

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20

Liu, Rongjie, and Hongtu Zhu. "Statistical disease mapping for heterogeneous neuroimaging studies." Canadian Journal of Statistics 49, no. 1 (February 26, 2021): 10–34. http://dx.doi.org/10.1002/cjs.11595.

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21

Sun, Chenfei, Qingzhong Li, Lizhen Cui, Hui Li, and Yuliang Shi. "Heterogeneous network-based chronic disease progression mining." Big Data Mining and Analytics 2, no. 1 (March 2019): 25–34. http://dx.doi.org/10.26599/bdma.2018.9020009.

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22

Nimer, Stephen D. "Essential Thrombocythemia: Another “Heterogeneous Disease” Better Understood?" Blood 93, no. 2 (January 15, 1999): 415–16. http://dx.doi.org/10.1182/blood.v93.2.415.

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23

Nimer, Stephen D. "Essential Thrombocythemia: Another “Heterogeneous Disease” Better Understood?" Blood 93, no. 2 (January 15, 1999): 415–16. http://dx.doi.org/10.1182/blood.v93.2.415.402a35_415_416.

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24

Thieblemont, C., A. Mayer, C. Dumontet, Y. Barbier, E. Callet-Bauchu, P. Felman, F. Berger, et al. "Primary Thyroid Lymphoma Is a Heterogeneous Disease." Journal of Clinical Endocrinology & Metabolism 87, no. 1 (January 2002): 105–11. http://dx.doi.org/10.1210/jcem.87.1.8156.

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25

Danilov, Alexey V., Monika Pilichowska, Olga V. Danilova, and Kellie A. Sprague. "AIDS-related Burkitt lymphoma—A heterogeneous disease?" Leukemia Research 32, no. 12 (December 2008): 1939–41. http://dx.doi.org/10.1016/j.leukres.2008.03.037.

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26

Chung, Hai Lee. "Asthma in childhood: a complex, heterogeneous disease." Korean Journal of Pediatrics 54, no. 1 (2011): 1. http://dx.doi.org/10.3345/kjp.2011.54.1.1.

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27

Sidaway, Peter. "TCGA data reveal a highly heterogeneous disease." Nature Reviews Clinical Oncology 14, no. 11 (August 31, 2017): 648. http://dx.doi.org/10.1038/nrclinonc.2017.146.

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28

Wilson, Peter C. G., Max J. Coppes, Hassan Solh, Helen S. L. Chan, Derek Jenkin, Mark L. Greenberg, and Sheila Weitzman. "Neuroblastoma stage IV-S: A heterogeneous disease." Medical and Pediatric Oncology 19, no. 6 (1991): 467–72. http://dx.doi.org/10.1002/mpo.2950190604.

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29

Shah, Manish A. "Gastric Cancer—An Enigmatic and Heterogeneous Disease." JAMA 303, no. 17 (May 5, 2010): 1753. http://dx.doi.org/10.1001/jama.2010.553.

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30

Chen, Zhongbo, Wai Yan Yau, Zane Jaunmuktane, Arianna Tucci, Prasanth Sivakumar, Sarah A. Gagliano Taliun, Chris Turner, et al. "Neuronal intranuclear inclusion disease is genetically heterogeneous." Annals of Clinical and Translational Neurology 7, no. 9 (August 10, 2020): 1716–25. http://dx.doi.org/10.1002/acn3.51151.

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31

Lei, Xiujuan, and Wenxiang Zhang. "BRWSP: Predicting circRNA-Disease Associations Based on Biased Random Walk to Search Paths on a Multiple Heterogeneous Network." Complexity 2019 (November 30, 2019): 1–12. http://dx.doi.org/10.1155/2019/5938035.

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The circular RNAs (circRNAs) have significant effects on a variety of biological processes, the dysfunction of which is closely related to the emergence and development of diseases. Therefore, identification of circRNA-disease associations will contribute to analysing the pathogenesis of diseases. Here, we present a computational model called BRWSP to predict circRNA-disease associations, which searches paths on a multiple heterogeneous network based on biased random walk. Firstly, BRWSP constructs a multiple heterogeneous network by using circRNAs, diseases, and genes. Then, the biased random walk algorithm runs on the multiple heterogeneous network to search paths between circRNAs and diseases. Finally, the performance of BRWSP is significantly better than the state-of-the-art algorithms. Furthermore, BRWSP further contributes to the discovery of novel circRNA-disease associations.

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32

Gorbunova, Victoria N., and Natalia V. Buchinskaia. "Lysosomal storage diseases. Sphingolipidoses — sphingomyelin lipidosis, or Niemann–Pick disease, Wolman disease." Pediatrician (St. Petersburg) 13, no. 4 (November 27, 2022): 5–27. http://dx.doi.org/10.17816/ped1345-27.

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The epidemiology, clinical biochemical and molecular genetic characteristics of glycosphingolipidoses with impaired metabolism and excessive accumulation in parenchymal organs, bone and brain not only of sphingolipids, but also free cholesterol are presented. First of all, it is sphingomyelin lipidosis, or NiemannPick disease, a clinically polymorphic and genetically heterogeneous group of rare monogenic diseases. Types A and B, which differ in onset and severity, are allelic diseases and are caused by the presence of recessive mutations in the lysosomal acid sphingomyelinase (SMPD1) gene. Type A is a classic acute neuronopathy, which starts in 85% of cases before 6 months, death occurs before the age of 3 years. The cause of the disease is mutations with premature termination of translation or severe impairment of the catalytic activity of the enzyme. In type B, missense mutations are more common. This is a chronic visceral form, in which neurological symptoms are usually absent, and patients survive into adolescence. Juvenile and adult forms of chronic neuronopathy type C are genetically heterogeneous. In 95% of cases they are caused by mutations in the NPC1 gene (type C1) and in 5% in the NPC2 gene (type C2). The products of these genes are transmembrane proteins responsible for the transport of cholesterol and other lipids. Cholesterol ester storage disease, or Wolman disease, is caused by hereditary deficiency of lysosomal acid lipase A. The possibility of early diagnosis of these diseases based on neonatal screening is discussed in order to increase the effectiveness of their prevention and treatment. The importance of experimental models for studying the molecular basis of the pathogenesis of these severe hereditary diseases and developing various therapeutic approaches, such as bone marrow transplantation, enzyme replacement therapy, and substrate-reducing therapy, is emphasized. A clinical example of NiemannPick disease type C is presented.

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33

Yang, Yi, Junliang Shang, Yan Sun, Feng Li, Yuanyuan Zhang, Xiang-Zhen Kong, Shengjun Li, and Jin-Xing Liu. "TLNPMD: Prediction of miRNA-Disease Associations Based on miRNA-Drug-Disease Three-Layer Heterogeneous Network." Molecules 27, no. 14 (July 7, 2022): 4371. http://dx.doi.org/10.3390/molecules27144371.

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Many microRNAs (miRNAs) have been confirmed to be associated with the generation of human diseases. Capturing miRNA–disease associations (M-DAs) provides an effective way to understand the etiology of diseases. Many models for predicting M-DAs have been constructed; nevertheless, there are still several limitations, such as generally considering direct information between miRNAs and diseases, usually ignoring potential knowledge hidden in isolated miRNAs or diseases. To overcome these limitations, in this study a novel method for predicting M-DAs was developed named TLNPMD, highlights of which are the introduction of drug heuristic information and a bipartite network reconstruction strategy. Specifically, three bipartite networks, including drug–miRNA, drug–disease, and miRNA–disease, were reconstructed as weighted ones using such reconstruction strategy. Based on these weighted bipartite networks, as well as three corresponding similarity networks of drugs, miRNAs and diseases, the miRNA–drug-disease three-layer heterogeneous network was constructed. Then, this heterogeneous network was converted into three two-layer heterogeneous networks, for each of which the network path computational model was employed to predict association scores. Finally, both direct and indirect miRNA–disease paths were used to predict M-DAs. Comparative experiments of TLNPMD and other four models were performed and evaluated by five-fold and global leave-one-out cross validations, results of which show that TLNPMD has the highest AUC values among those of compared methods. In addition, case studies of two common diseases were carried out to validate the effectiveness of the TLNPMD. These experiments demonstrate that the TLNPMD may serve as a promising alternative to existing methods for predicting M-DAs.

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34

Xuan, Pan, Zhang, Liu, and Sun. "Graph Convolutional Network and Convolutional Neural Network Based Method for Predicting lncRNA-Disease Associations." Cells 8, no. 9 (August 30, 2019): 1012. http://dx.doi.org/10.3390/cells8091012.

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Aberrant expressions of long non-coding RNAs (lncRNAs) are often associated with diseases and identification of disease-related lncRNAs is helpful for elucidating complex pathogenesis. Recent methods for predicting associations between lncRNAs and diseases integrate their pertinent heterogeneous data. However, they failed to deeply integrate topological information of heterogeneous network comprising lncRNAs, diseases, and miRNAs. We proposed a novel method based on the graph convolutional network and convolutional neural network, referred to as GCNLDA, to infer disease-related lncRNA candidates. The heterogeneous network containing the lncRNA, disease, and miRNA nodes, is constructed firstly. The embedding matrix of a lncRNA-disease node pair was constructed according to various biological premises about lncRNAs, diseases, and miRNAs. A new framework based on a graph convolutional network and a convolutional neural network was developed to learn network and local representations of the lncRNA-disease pair. On the left side of the framework, the autoencoder based on graph convolution deeply integrated topological information within the heterogeneous lncRNA-disease-miRNA network. Moreover, as different node features have discriminative contributions to the association prediction, an attention mechanism at node feature level is constructed. The left side learnt the network representation of the lncRNA-disease pair. The convolutional neural networks on the right side of the framework learnt the local representation of the lncRNA-disease pair by focusing on the similarities, associations, and interactions that are only related to the pair. Compared to several state-of-the-art prediction methods, GCNLDA had superior performance. Case studies on stomach cancer, osteosarcoma, and lung cancer confirmed that GCNLDA effectively discovers the potential lncRNA-disease associations.

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35

Liu, Rongjie, and Hongtu Zhu. "Rejoinder: “Statistical disease mapping for heterogeneous neuroimaging studies”." Canadian Journal of Statistics 49, no. 1 (February 26, 2021): 43–45. http://dx.doi.org/10.1002/cjs.11607.

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36

Barbullushi, Myftar, Alma Idrizi, Eriola Bolleku, Anila Laku, and Arben Pilaca. "Pompe Disease With Heterogeneous Presentations Within A Family." Medical Archives 67, no. 4 (2013): 297. http://dx.doi.org/10.5455/medarh.2013.67.297-298.

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37

Yang, Kai, Xingzhong Zhao, David Waxman, and Xing-Ming Zhao. "Predicting drug-disease associations with heterogeneous network embedding." Chaos: An Interdisciplinary Journal of Nonlinear Science 29, no. 12 (December 2019): 123109. http://dx.doi.org/10.1063/1.5121900.

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38

Gosal, D., O. A. Ross, and M. Toft. "Parkinson's disease: the genetics of a heterogeneous disorder." European Journal of Neurology 13, no. 6 (June 2006): 616–27. http://dx.doi.org/10.1111/j.1468-1331.2006.01336.x.

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39

Schellenberg, G. D. "Genetic dissection of Alzheimer disease, a heterogeneous disorder." Proceedings of the National Academy of Sciences 92, no. 19 (September 12, 1995): 8552–59. http://dx.doi.org/10.1073/pnas.92.19.8552.

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40

Sun, Duanchen, Xianwen Ren, Eszter Ari, Tamas Korcsmaros, Peter Csermely, and Ling-Yun Wu. "Discovering cooperative biomarkers for heterogeneous complex disease diagnoses." Briefings in Bioinformatics 20, no. 1 (August 8, 2017): 89–101. http://dx.doi.org/10.1093/bib/bbx090.

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41

Knip, Mikael. "Type 1 diabetes mellitus is a heterogeneous disease." Nature Reviews Endocrinology 13, no. 9 (July 7, 2017): 1. http://dx.doi.org/10.1038/nrendo.2017.84.

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42

Poulakis, Konstantinos, Joana B. Pereira, Patrizia Mecocci, Bruno Vellas, Magda Tsolaki, Iwona Kłoszewska, Hilkka Soininen, et al. "Heterogeneous patterns of brain atrophy in Alzheimer's disease." Neurobiology of Aging 65 (May 2018): 98–108. http://dx.doi.org/10.1016/j.neurobiolaging.2018.01.009.

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43

Barsky, Sanford H., and Shikha Bose. "Should LCIS Be Regarded as a Heterogeneous Disease?" Breast Journal 5, no. 6 (November 1999): 407–12. http://dx.doi.org/10.1046/j.1524-4741.1999.99001.x.

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44

Brugada, R., L. L. Bachinski, R. Hill, and R. Roberts. "Familial atrial fibrillation is a genetically heterogeneous disease." Journal of the American College of Cardiology 31 (1998): 349. http://dx.doi.org/10.1016/s0735-1097(98)82159-1.

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45

Claire King, Mary. "MULTIPLE RARE ALLELES IN A GENETICALLY HETEROGENEOUS DISEASE." Schizophrenia Research 117, no. 2-3 (April 2010): 117. http://dx.doi.org/10.1016/j.schres.2010.02.1062.

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46

Brugada, R. "Familial Atrial Fibrillation Is a Genetically Heterogeneous Disease." Journal of the American College of Cardiology 31, no. 2 (February 1998): 349A. http://dx.doi.org/10.1016/s0735-1097(97)85227-8.

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47

Leclair-Visonneau, Laurène, Laurent Magy, Christelle Volteau, Thomas Clairembault, Séverine Le Dily, Cécile Préterre, Arnaud Peyre, et al. "Heterogeneous pattern of autonomic dysfunction in Parkinson’s disease." Journal of Neurology 265, no. 4 (February 20, 2018): 933–41. http://dx.doi.org/10.1007/s00415-018-8789-8.

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48

Grassi, Massimiliano, Andrea Spagnoletti, and Alberto Puccini. "Metastatic sarcoma: tailored strategies for a heterogeneous disease." memo - Magazine of European Medical Oncology 13, no. 2 (April 15, 2020): 179–84. http://dx.doi.org/10.1007/s12254-020-00598-w.

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49

Solomon, S. D., J. A. Jarcho, W. McKenna, A. Geisterfer-Lowrance, R. Germain, R. Salerni, J. G. Seidman, and C. E. Seidman. "Familial hypertrophic cardiomyopathy is a genetically heterogeneous disease." Journal of Clinical Investigation 86, no. 3 (September 1, 1990): 993–99. http://dx.doi.org/10.1172/jci114802.

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50

King, Alexandra. "Aortic plaque—dual therapy for a heterogeneous disease." Nature Reviews Cardiology 10, no. 7 (May 28, 2013): 366. http://dx.doi.org/10.1038/nrcardio.2013.83.

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