BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: Kumar M, Garand M, Al Khodor S. Integrating omics for a better understanding of Inflammatory Bowel Disease: a step towards personalized medicine. J Transl Med 2019;17:419. [PMID: 31836022 DOI: 10.1186/s12967-019-02174-1] [Cited by in Crossref: 31] [Cited by in F6Publishing: 31] [Article Influence: 7.8] [Reference Citation Analysis]
Number Citing Articles
1 Suzuki G, Iwakiri R, Udagawa E, Ma S, Takayama R, Nishiura H, Nakamura K, Burns SP, D'Alessandro PM, Fernandez J. Computational Simulation Model to Predict Behavior Changes in Inflammatory Bowel Disease Patients during the COVID-19 Pandemic: Analysis of Two Regional Japanese Populations. J Clin Med 2023;12. [PMID: 36769406 DOI: 10.3390/jcm12030757] [Reference Citation Analysis]
2 Ramos Meyers G, Samouda H, Bohn T. Short Chain Fatty Acid Metabolism in Relation to Gut Microbiota and Genetic Variability. Nutrients 2022;14. [PMID: 36558520 DOI: 10.3390/nu14245361] [Reference Citation Analysis]
3 Pytrus W, Akutko K, Pytrus T, Turno-Kręcicka A. A Review of Ophthalmic Complications in Inflammatory Bowel Diseases. J Clin Med 2022;11. [PMID: 36556071 DOI: 10.3390/jcm11247457] [Reference Citation Analysis]
4 Gomez-Nguyen A, Gupta N, Sanaka H, Gruszka D, Pizarro A, DiMartino L, Basson A, Menghini P, Osme A, DeSalvo C, Pizarro T, Cominelli F. Chronic stress induces colonic tertiary lymphoid organ formation and protection against secondary injury through IL-23/IL-22 signaling. Proc Natl Acad Sci U S A 2022;119:e2208160119. [PMID: 36161939 DOI: 10.1073/pnas.2208160119] [Reference Citation Analysis]
5 Kang YH, Tucker SA, Quevedo SF, Inal A, Korzenik JR, Haigis MC. Metabolic analyses reveal dysregulated NAD+ metabolism and altered mitochondrial state in ulcerative colitis. PLoS ONE 2022;17:e0273080. [DOI: 10.1371/journal.pone.0273080] [Reference Citation Analysis]
6 Park SH, Park SH. Personalized medicine in inflammatory bowel disease: Perspectives on Asia. J Gastroenterol Hepatol 2022;37:1434-45. [PMID: 35726657 DOI: 10.1111/jgh.15919] [Reference Citation Analysis]
7 Chen H, Zhang J, Zhou H, Zhu Y, Liang Y, Zhu P, Zhang Q. UHPLC-HRMS–based serum lipisdomics reveals novel biomarkers to assist in the discrimination between colorectal adenoma and cancer. Front Oncol 2022;12:934145. [DOI: 10.3389/fonc.2022.934145] [Reference Citation Analysis]
8 Reiter TE, Irber L, Gingrich AA, Haynes D, Pierce-ward NT, Brooks PT, Mizutani Y, Moritz D, Reidl F, Willis AD, Sullivan BD, Brown CT. Meta-analysis of metagenomes via machine learning and assembly graphs reveals strain switches in Crohn’s disease.. [DOI: 10.1101/2022.06.30.498290] [Reference Citation Analysis]
9 Elhag DA, Kumar M, Saadaoui M, Akobeng AK, Al-mudahka F, Elawad M, Al Khodor S. Inflammatory Bowel Disease Treatments and Predictive Biomarkers of Therapeutic Response. IJMS 2022;23:6966. [DOI: 10.3390/ijms23136966] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
10 Gao S, Li Y, Wu D, Jiao N, Yang L, Zhao R, Xu Z, Chen W, Lin X, Cheng S, Zhu L, Lan P, Zhu R. IBD Subtype-Regulators IFNG and GBP5 Identified by Causal Inference Drive More Intense Innate Immunity and Inflammatory Responses in CD Than Those in UC. Front Pharmacol 2022;13:869200. [PMID: 35462887 DOI: 10.3389/fphar.2022.869200] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
11 Erdmann A, Rehmann-sutter C, Bozzaro C. Clinicians’ and Researchers’ Views on Precision Medicine in Chronic Inflammation: Practices, Benefits and Challenges. JPM 2022;12:574. [DOI: 10.3390/jpm12040574] [Reference Citation Analysis]
12 Feakins R, Torres J, Borralho-Nunes P, Burisch J, Cúrdia Gonçalves T, De Ridder L, Driessen A, Lobatón T, Menchén L, Mookhoek A, Noor N, Svrcek M, Villanacci V, Zidar N, Tripathi M. ECCO Topical Review on Clinicopathological Spectrum and Differential Diagnosis of Inflammatory Bowel Disease. J Crohns Colitis 2022;16:343-68. [PMID: 34346490 DOI: 10.1093/ecco-jcc/jjab141] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 3.0] [Reference Citation Analysis]
13 Mukhopadhyay S, Saha S, Chakraborty S, Prasad P, Ghosh A, Aich P. Differential colitis susceptibility of Th1- and Th2-biased mice: A multi-omics approach. PLoS ONE 2022;17:e0264400. [DOI: 10.1371/journal.pone.0264400] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
14 Gardiner L, Carrieri AP, Bingham K, Macluskie G, Bunton D, Mcneil M, Pyzer-knapp EO. Combining explainable machine learning, demographic and multi-omic data to inform precision medicine strategies for inflammatory bowel disease. PLoS ONE 2022;17:e0263248. [DOI: 10.1371/journal.pone.0263248] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
15 Beck EA, Healey HM, Small CM, Currey MC, Desvignes T, Cresko WA, Postlethwait JH. Advancing human disease research with fish evolutionary mutant models. Trends Genet 2022;38:22-44. [PMID: 34334238 DOI: 10.1016/j.tig.2021.07.002] [Cited by in Crossref: 13] [Cited by in F6Publishing: 13] [Article Influence: 13.0] [Reference Citation Analysis]
16 Schupack DA, Mars RAT, Voelker DH, Abeykoon JP, Kashyap PC. The promise of the gut microbiome as part of individualized treatment strategies. Nat Rev Gastroenterol Hepatol 2022;19:7-25. [PMID: 34453142 DOI: 10.1038/s41575-021-00499-1] [Cited by in Crossref: 24] [Cited by in F6Publishing: 24] [Article Influence: 24.0] [Reference Citation Analysis]
17 Fiaidhi J, Zezos P, Mohammed S. Thick Data Analytics for Rating Ulcerative Colitis Severity Using Small Endoscopy Image Sample. 2021 IEEE International Conference on Big Data (Big Data) 2021. [DOI: 10.1109/bigdata52589.2021.9671327] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
18 Adegbola SO, Sarafian M, Sahnan K, Ding NS, Faiz OD, Warusavitarne J, Phillips RKS, Tozer PJ, Holmes E, Hart AL. Differences in amino acid and lipid metabolism distinguish Crohn's from idiopathic/cryptoglandular perianal fistulas by tissue metabonomic profiling and may offer clues to underlying pathogenesis. Eur J Gastroenterol Hepatol 2021;33:1469-79. [PMID: 33337668 DOI: 10.1097/MEG.0000000000001976] [Cited by in Crossref: 5] [Cited by in F6Publishing: 6] [Article Influence: 2.5] [Reference Citation Analysis]
19 Iyer N, Corr SC. Gut Microbial Metabolite-Mediated Regulation of the Intestinal Barrier in the Pathogenesis of Inflammatory Bowel Disease. Nutrients 2021;13:4259. [PMID: 34959809 DOI: 10.3390/nu13124259] [Cited by in Crossref: 6] [Cited by in F6Publishing: 7] [Article Influence: 3.0] [Reference Citation Analysis]
20 Popa IV, Burlacu A, Gavrilescu O, Dranga M, Prelipcean CC, Mihai C. A new approach to predict ulcerative colitis activity through standard clinical–biological parameters using a robust neural network model. Neural Comput & Applic 2021;33:14133-14146. [DOI: 10.1007/s00521-021-06055-x] [Cited by in Crossref: 2] [Article Influence: 1.0] [Reference Citation Analysis]
21 Chen D, Fulmer C, Gordon IO, Syed S, Stidham RW, Vande Casteele N, Qin Y, Falloon K, Cohen BL, Wyllie R, Rieder F. Application of Artificial Intelligence to Clinical Practice in Inflammatory Bowel Disease - What the Clinician Needs to Know. J Crohns Colitis 2022;16:460-71. [PMID: 34558619 DOI: 10.1093/ecco-jcc/jjab169] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
22 Erdmann A, Rehmann-Sutter C, Bozzaro C. Patients' and professionals' views related to ethical issues in precision medicine: a mixed research synthesis. BMC Med Ethics 2021;22:116. [PMID: 34465328 DOI: 10.1186/s12910-021-00682-8] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 3.5] [Reference Citation Analysis]
23 Javaid A, Shahab O, Adorno W, Fernandes P, May E, Syed S. Machine Learning Predictive Outcomes Modeling in Inflammatory Bowel Diseases. Inflamm Bowel Dis 2022;28:819-29. [PMID: 34417815 DOI: 10.1093/ibd/izab187] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.5] [Reference Citation Analysis]
24 Huang J, Yang Z, Li Y, Chai X, Liang Y, Lin B, Ye Z, Zhang S, Che Z, Zhang H, Zhang X, Zhang Z, Chen T, Yang W, Zeng J. Lactobacillus paracasei R3 protects against dextran sulfate sodium (DSS)-induced colitis in mice via regulating Th17/Treg cell balance. J Transl Med 2021;19:356. [PMID: 34407839 DOI: 10.1186/s12967-021-02943-x] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
25 Juan Huang, Ziyan Yang, Yanyun Li, Xingxing Chai, Yanfang Liang, Bihua Lin, Ziyu Ye, Shaobing Zhang, Zhengping Che, Hailiang Zhang, Xueying Zhang, Zhao Zhang, Tao Chen, Weiqing Yang, Jincheng Zeng. Lactobacillus paracasei R3 protects against dextran sulfate sodium (DSS)-induced colitis in mice via regulating Th17/Treg cell balance. J Transl Med 2021;19:356. [PMID: 34407839 DOI: 10.1186/s12967-021-02943-x] [Cited by in Crossref: 5] [Cited by in F6Publishing: 1] [Article Influence: 2.5] [Reference Citation Analysis]
26 Beck LC, Granger CL, Masi AC, Stewart CJ. Use of omic technologies in early life gastrointestinal health and disease: from bench to bedside. Expert Rev Proteomics 2021;18:247-59. [PMID: 33896313 DOI: 10.1080/14789450.2021.1922278] [Cited by in Crossref: 6] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
27 Gardiner L, Carrieri AP, Bingham K, Macluskie G, Bunton D, Mcneil M, Pyzer-knapp EO. Combining explainable machine learning, demographic and multi-omic data to identify precision medicine strategies for inflammatory bowel disease.. [DOI: 10.1101/2021.03.03.21252821] [Reference Citation Analysis]
28 Denaro M, Smeriglio A, Trombetta D. Antioxidant and Anti-Inflammatory Activity of Citrus Flavanones Mix and Its Stability after In Vitro Simulated Digestion. Antioxidants (Basel) 2021;10:140. [PMID: 33498195 DOI: 10.3390/antiox10020140] [Cited by in Crossref: 18] [Cited by in F6Publishing: 19] [Article Influence: 9.0] [Reference Citation Analysis]
29 Tarris G, de Rougemont A, Charkaoui M, Michiels C, Martin L, Belliot G. Enteric Viruses and Inflammatory Bowel Disease. Viruses 2021;13:104. [PMID: 33451106 DOI: 10.3390/v13010104] [Cited by in Crossref: 12] [Cited by in F6Publishing: 13] [Article Influence: 6.0] [Reference Citation Analysis]
30 Choi MY, Fritzler MJ, Mahler M. Development of multi-omics approach in autoimmune diseases. Precision Medicine and Artificial Intelligence 2021. [DOI: 10.1016/b978-0-12-820239-5.00004-8] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
31 Emmert H, Fonfara M, Rodriguez E, Weidinger S. NADPH oxidase inhibition rescues keratinocytes from elevated oxidative stress in a 2D atopic dermatitis and psoriasis model. Exp Dermatol 2020;29:749-58. [DOI: 10.1111/exd.14148] [Cited by in Crossref: 11] [Cited by in F6Publishing: 13] [Article Influence: 3.7] [Reference Citation Analysis]
32 Garand M, Kumar M, Huang SSY, Al Khodor S. A literature-based approach for curating gene signatures in multifaceted diseases. J Transl Med 2020;18:279. [PMID: 32650786 DOI: 10.1186/s12967-020-02408-7] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
33 Fiocchi C, Iliopoulos D. What's new in IBD therapy: An "omics network" approach. Pharmacol Res 2020;159:104886. [PMID: 32428668 DOI: 10.1016/j.phrs.2020.104886] [Cited by in Crossref: 17] [Cited by in F6Publishing: 18] [Article Influence: 5.7] [Reference Citation Analysis]
34 Cho S, Krishna M, Kellermayer R. The developing microbiome and inflammatory bowel diseases. The Developing Microbiome 2020. [DOI: 10.1016/b978-0-12-820602-7.00005-2] [Reference Citation Analysis]