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Dea Louise Ravn,Afsaneh Mohammadnejad,Kemal Sabaredzovic,Weilong Li,Jesper Lund,Shuxia Li,Anders Jørgen Svendsen,Veit Schwämmle,Qihua Tan 대한침구의학회 2020 대한침구의학회지 Vol.37 No.2
Background: Classical acupuncture is being used in the treatment of rheumatoid arthritis (RA). To explore the biological response to acupuncture, a network-based analysis was performed on gene expression data collected from an animal model of RA treated with acupuncture.Methods: Gene expression data were obtained from published microarray studies on blood samples from rats with collagen induced arthritis (CIA) and non-CIA rats, both treated with manual acupuncture. The weighted gene co-expression network analysis was performed to identify gene clusters expressed in association with acupuncture treatment time and RA status. Gene ontology and pathway analyses were applied for functional annotation and network visualization.Results: A cluster of 347 genes were identified that differentially downregulated expression in association with acupuncture treatment over time; specifically in rats with CIA with module-RA correlation at 1 hour after acupuncture (-0.27; <i>p</i> < 0.001) and at 34 days after acupuncture (-0.33; <i>p</i> < 0.001). Functional annotation showed highly significant enrichment of porphyrin-containing compound biosynthetic processes (<i>p</i> < 0.001). The network-based analysis also identified a module of 140 genes differentially expressed between CIA and non-CIA in rats (<i>p</i> < 0.001). This cluster of genes was enriched for antigen processing and presentation of exogenous peptide antigen (<i>p</i> < 0.001). Other functional gene clusters previously reported in earlier studies were also observed.<br>Conclusion: The identified gene expression networks and their hub-genes could help with the understanding of mechanisms involved in the pathogenesis of RA, as well understanding the effects of acupuncture treatment of RA.
( Mette W Klinge ),( Nanna Sutter ),( Esben B Mark ),( Anne-mette Haase ),( Per Borghammer ),( Vincent Schlageter ),( Sten Lund ),( Jesper Fleischer ),( Karoline Knudsen ),( Asbjørn M Drewes ),( Klaus 대한소화기기능성질환·운동학회(구 대한소화관운동학회) 2021 Journal of Neurogastroenterology and Motility (JNM Vol.27 No.3
Background/Aims Patients with diabetes mellitus (DM) often suffer from gastrointestinal (GI) symptoms, but these correlate poorly to established objective GI motility measures. Our aim is to perform a detailed evaluation of potential measures of gastric and small intestinal motility in patients with DM type 1 and severe GI symptoms. Methods Twenty patients with DM and 20 healthy controls (HCs) were included. GI motility was examined with a 3-dimensional-Transit capsule, while organ volumes were determined by CT scans. Results Patients with DM and HCs did not differ with regard to median gastric contraction frequency (DM: 3.0 contractions/minute [interquartile range {IQR}, 2.9-3.0]; HCs: 2.9 [IQR, 2.8-3.1]; P = 0.725), amplitude of gastric contractions (DM: 9 mm [IQR, 8-11]; HCs: 11 mm (IQR, 9-12); P = 0.151) or fasting volume of the stomach wall (DM: 149 ㎤ [IQR, 112-187]; HCs: 132 ㎤ [IQR, 107-154]; P = 0.121). Median gastric emptying time was prolonged in patients (DM: 3.3 hours [IQR, 2.6-4.6]; HCs: 2.4 hours [IQR, 1.8-2.7]; P = 0.002). No difference was found in small intestinal transit time (DM: 5 hours [IQR, 3.7-5.6]; HCs: 4.8 hours [IQR, 3.9-6.0]; P = 0.883). However, patients with DM had significantly larger volume of the small intestinal wall (DM: 623 ㎤ [IQR, 487-766]; HCs: 478 ㎤ [IQR, 393-589]; P = 0.003). Among patients, 13 (68%) had small intestinal wall volume and 9 (50%) had gastric emptying time above the upper 95% percentile of HCs. Conclusion In our study, gastric emptying time and volume of the small intestinal wall appeared to be the best objective measures in patients with DM type 1 and symptoms and gastroenteropathy. (J Neurogastroenterol Motil 2021;27:390-399)