• Title/Summary/Keyword: Disease models

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Anti-inflammatory Effects of Low-frequency Stimulator using Superposition of Alternating Microcurrent Wave in the Animal Models

  • Kim, Yoo-Jeong;Lee, Seong gwang;Go, Shin Jee;An, Suyeon;Kim, Ye eun;Kim, Ye in;Hyun, Kyung-Yae;Cho, Dong Shik;Choi, Go-Eun
    • Biomedical Science Letters
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    • v.27 no.2
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    • pp.99-104
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    • 2021
  • Treatment techniques that affect homeostasis by non-invasive regulation in peripheral organs will advance disease research. Here, we demonstrate a non-invasive method of conditioning within an organ using a low-frequency stimulator superposition of alternating microcurrent wave in stages. It is first applied to the inflammatory response in H3N2-infected sinusitis mice. To check the progress of the treatment, mice were sacrificed every week for 3 weeks, nasal tissue was removed, and the inflammatory response was investigated through H & E staining. The low-frequency stimulation treatment group was found to alleviate the proliferation of epithelial cells and invasion of inflammatory cells compared to the control group as the passage of treatment time. The reduction of inflammatory cytokines in the nasal lavage fluid was observed in H3N2-infected sinusitis mice treated with of low-frequency stimulation using superposition of alternating microcurrent wave compared to H3N2-infected sinusitis mice after 3 weeks. These data demonstrate that low-frequency stimulation device in the form of using alternating current wave superposition on within organs provides a new method to regulate specific physiological functions. Therefore, it is necessary to prove the inhibitory effect of low-frequency stimulation using alternating current wave superposition on inflammatory diseases by various methods through further studies and clinical studies.

A Study on the Public Housing Model for Residents' Participation suitable for Smart City (스마트시티에 적합한 주민참여형 공공주택 모델에 관한 연구)

  • Heo, Hak-Soo;Ryu, Gab-Sang
    • Journal of Internet of Things and Convergence
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    • v.7 no.2
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    • pp.1-6
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    • 2021
  • In recent years, many people are living in a space limited by rapid global industrial development and economic growth, and rapid urbanization is underway, with the global urban population estimated to be more than 70 percent in 2050. Due to rapid urbanization, government-led smart city models are being developed and introduced to solve various urban problems such as disaster safety, air pollution, water pollution, energy shortage, disease, crime and transportation. However, since ICT technology of public housing is being developed as a type of social overhead capital project, it is necessary to develop micro-smart city projects that residents can feel by developing services such as public safety, living environment, living welfare, and energy management for public housing residents. Therefore, in this paper, the smart platform model of public housing for smart city in the era of the Fourth Industrial Revolution is planned and presented.

Evaluation of Anti-Inflammatory Effect of Pulsed Electromagnetic Field on DNCB-Induced Atopic Dermatitis Using Principal Component Analysis (주성분 분석을 이용한 펄스형 전자기장 자극을 통해 DNCB로 유발된 아토피성 피부염의 개선 효과 분석)

  • Lee, Jiyoung;Kim, Jun-Yong;Lee, Yerin;Kim, Ko Eun;Lee, Yongheum;Yang, Sejung
    • Journal of Biomedical Engineering Research
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    • v.42 no.3
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    • pp.94-99
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    • 2021
  • Atopic dermatitis (AD), a chronic inflammatory skin disease, is characterized by itchy and age-dependent lesions. Previous studies have shown that pulsed electromagnetic field (PEMF) significantly improved chronic ulcers and ununited fractures, providing an evidence for the application of PEMF in resolving inflammation caused by AD. This study investigated the anti-inflammatory effect of PEMF on DNCB-induced AD in animal models. Five male hairless mice (6 weeks old) per group were assigned to a normal group, a sham group, and two PEMF groups (15Hz, 75Hz). Mice were treated with 2,4-Dinitrochlorobenzene (DNCB) to induce uniform AD among all groups excluding a normal group. To examine the inflammatory progress and the improvement of AD after the PEMF stimulation, images are taken with various cameras for non-invasive evaluation and the results are expressed using principal component analysis (PCA) for visualization. The results of this study demonstrated that PEMF effectively improved skin lesions without the use of drugs.

Donggwaja Suppresses Inflammatory Reaction Via Tumor Necrosis Factor α-induced Protein3 and NF-κB (Tumor necrosis factor α - induced protein3의 발현과 NF-κB 활성 억제를 통한 동과자의 염증반응 억제 효과)

  • Kim, Kyun Ha;Choi, Jun-Yong;Joo, Myungsoo
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.35 no.1
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    • pp.15-21
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    • 2021
  • Donggwaja (Benincasae Semen), the seed of Benincasa hispida (Thunb.) Cogn., has been used in Korean traditional medicine to control the body heat and water retention caused by various diseases. Both the symptoms targeted by the herbal medicine in clinic and studies with disease mouse models support the potential anti-inflammatory effect of Donggwaja. However, it is less understood how Donggwaja exerts its possible anti-inflammatory effect. Here, we present evidence that Donggwaja suppresses macrophage inflammatory reactions via expressing tumor necrosis factor a-induced protein 3 (TNFAIP3 or A20) and suppressing NF-kB activity. The ethanol extract of Donggwaja (EED) showed no toxicity when added to RAW 264.7 cells less than 100mg/ml. When treating the cells for 16 h, EED significantly suppressed the nuclear localization of NF-kB, suggesting that EED suppresses NF-kB activity. Concordantly, a semi-quantitative RT-PCR analysis showed that EED decreased the expression of prototypic pro-inflammatory cytokines, such as tumor necrosis factor (TNF)-a, IL(interleukin)-6, and IL-1b. EED induced in RAW 264.7 cells the expression of A20, a ubiquitin modulator that suppresses inflammatory signaling cascades initiated from TLR4 and TNF and IL-1 receptors, while not affecting the induction of Nrf2, an anti-inflammatory factor that could suppress the effect of NF-kB. These results suggest that EED exerts its suppressive effect on inflammation, at least in part, by expressing anti-inflammatory factor A20 and suppressing pro-inflammatory factor NF-kB activity.

Hyaluronic Acid Increases Anti-Inflammatory Efficacy of Rectal 5-Amino Salicylic Acid Administration in a Murine Colitis Model

  • Jhundoo, Henusha D.;Siefen, Tobias;Liang, Alfred;Schmidt, Christoph;Lokhnauth, John;Moulari, Brice;Beduneau, Arnaud;Pellequer, Yann;Larsen, Crilles Casper;Lamprecht, Alf
    • Biomolecules & Therapeutics
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    • v.29 no.5
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    • pp.536-544
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    • 2021
  • 5-amino salicylic acid (5-ASA) is a standard therapy for the treatment of mild to moderate forms of inflammatory bowel diseases (IBD) whereas more severe forms involve the use of steroids and immunosuppressive drugs. Hyaluronic acid (HA) is a naturally occurring non-sulfated glycosaminoglycan that has shown epithelium protective effects in experimental colitis recently. In this study, both 5-ASA (30 mg/kg) and HA (15 mg/kg or 30 mg/kg) were administered rectally and investigated for their potential complementary therapeutic effects in moderate or severe murine colitis models. Intrarectal treatment of moderate and severe colitis with 5-ASA alone or HA alone at a dose of 30 mg/kg led to a significant decrease in clinical activity and histology scores, myeloperoxidase activity (MPO), TNF-α, IL-6 and IL-1β in colitis mice compared to untreated animals. The combination of HA (30 mg/kg) and 5-ASA in severe colitis led to a significant improvement of colitis compared to 5-ASA alone. Combined rectal therapy with HA and 5-ASA could be a treatment alternative for severe cases of IBD as it was the only treatment tested that was not significantly different from the healthy control group. This study further underlines the benefit of searching for yet unexplored drug combinations that show therapeutic potential in IBD without the need of designing completely new drug entities.

Improvement Effect of the Eucommia ulmoides Extracts on CIA-induced Rheumatoid Arthritis Animal Models (두충 추출물의 류마티스관절염 동물모델에 대한 개선 효과)

  • Ji, Joong-Gu
    • Journal of the Korean Applied Science and Technology
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    • v.39 no.1
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    • pp.18-26
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    • 2022
  • The present study aimed to evaluate the effect of Eucommia ulmoides extracts on rheumatoid arthritis biomarker in a CIA-induced DBA/1 mice. For evaluation, Eucommia ulmoides extracts was administered orally at dose of 100 mg/kg/day for 4 weeks after production of an animal model of rheumatoid arthritis and we confirmed the treatments' effects based on serum biomarker, radiological, structural parameter analysis. Compared to the negative control group, the Eucommia ulmoides extracts treatments significantly reduced the serum level of inflammation and immunoglobulin markers (i.e., TNF-α, IgG, and hs-CRP), and significantly decreased the monocyte count of white blood cells. Furthermore, the Eucommia ulmoides extracts treatments effectively preserved the joint destruction, and little the joint deformation. Moreover, compared to the negative control group, the Eucommia ulmoides extracts treatments increased the bone volume, and significantly decreased bone inflammation. The results indicate that the Eucommia ulmoides extracts improved rhrumatoid arthritis symptoms. Thus, the Eucommia ulmoides extracts may be a novel therapeutic option for the management of rheumatoid arthritis.

Sertad1 Induces Neurological Injury after Ischemic Stroke via the CDK4/p-Rb Pathway

  • Li, Jianxiong;Li, Bin;Bu, Yujie;Zhang, Hailin;Guo, Jia;Hu, Jianping;Zhang, Yanfang
    • Molecules and Cells
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    • v.45 no.4
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    • pp.216-230
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    • 2022
  • SERTA domain-containing protein 1 (Sertad1) is upregulated in the models of DNA damage and Alzheimer's disease, contributing to neuronal death. However, the role and mechanism of Sertad1 in ischemic/hypoxic neurological injury remain unclear. In the present study, our results showed that the expression of Sertad1 was upregulated in a mouse middle cerebral artery occlusion and reperfusion model and in HT22 cells after oxygen-glucose deprivation/reoxygenation (OGD/R). Sertad1 knockdown significantly ameliorated ischemia-induced brain infarct volume, neurological deficits and neuronal apoptosis. In addition, it significantly ameliorated the OGD/R-induced inhibition of cell viability and apoptotic cell death in HT22 cells. Sertad1 knockdown significantly inhibited the ischemic/hypoxic-induced expression of p-Rb, B-Myb, and Bim in vivo and in vitro. However, Sertad1 overexpression significantly exacerbated the OGD/R-induced inhibition of cell viability and apoptotic cell death and p-Rb, B-Myb, and Bim expression in HT22 cells. In further studies, we demonstrated that Sertad1 directly binds to CDK4 and the CDK4 inhibitor ON123300 restores the effects of Sertad1 overexpression on OGD/R-induced apoptotic cell death and p-Rb, B-Myb, and Bim expression in HT22 cells. These results suggested that Sertad1 contributed to ischemic/hypoxic neurological injury by activating the CDK4/p-Rb pathway.

The efficacy of GABAergic precursor cells transplantation in alleviating neuropathic pain in animal models: a systematic review and meta-analysis

  • Askarian-Amiri, Shaghayegh;Maleki, Solmaz Nasseri;Alavi, Seyedeh Niloufar Rafiei;Neishaboori, Arian Madani;Toloui, Amirmohammad;Gubari, Mohammed I.M.;Sarveazad, Arash;Hosseini, Mostafa;Yousefifard, Mahmoud
    • The Korean Journal of Pain
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    • v.35 no.1
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    • pp.43-58
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    • 2022
  • Background: Current therapies are quite unsuccessful in the management of neuropathic pain. Therefore, considering the inhibitory characteristics of GABA mediators, the present systematic review and meta-analysis aimed to determine the efficacy of GABAergic neural precursor cells on neuropathic pain management. Methods: Search was conducted on Medline, Embase, Scopus, and Web of Science databases. A search strategy was designed based on the keywords related to GABAergic cells combined with neuropathic pain. The outcomes were allodynia and hyperalgesia. The results were reported as a pooled standardized mean difference (SMD) with a 95% confidence interval (95% CI). Results: Data of 13 studies were analyzed in the present meta-analysis. The results showed that administration of GABAergic cells improved allodynia (SMD = 1.79; 95% CI: 0.87, 271; P < 0.001) and hyperalgesia (SMD = 1.29; 95% CI: 0.26, 2.32; P = 0.019). Moreover, the analyses demonstrated that the efficacy of GABAergic cells in the management of allodynia and hyperalgesia is only observed in rats. Also, only genetically modified cells are effective in improving both of allodynia, and hyperalgesia. Conclusions: A moderate level of pre-clinical evidence showed that transplantation of genetically-modified GABAergic cells is effective in the management of neuropathic pain. However, it seems that the transplantation efficacy of these cells is only statistically significant in improving pain symptoms in rats. Hence, caution should be exercised regarding the generalizability and the translation of the findings from rats and mice studies to large animal studies and clinical trials.

Analysis of Hypertension Risk Factors by Life Cycle Based on Machine Learning (머신러닝 기반 생애주기별 고혈압 위험 요인 분석)

  • Kang, SeongAn;Kim, SoHui;Ryu, Min Ho
    • Journal of Korea Society of Industrial Information Systems
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    • v.27 no.5
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    • pp.73-82
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    • 2022
  • Chronic diseases such as hypertension require a differentiated approach according to age and life cycle. Chronic diseases such as hypertension require differentiated management according to the life cycle. It is also known that the cause of hypertension is a combination of various factors. This study uses machine learning prediction techniques to analyze various factors affecting hypertension by life cycle. To this end, a total of 35 variables were used through preprocessing and variable selection processes for the National Health and Nutrition Survey data of the Korea Centers for Disease Control and Prevention. As a result of the study, among the tree-based machine learning models, XGBoost was found to have high predictive performance in both middle and old age. Looking at the risk factors for hypertension by life cycle, individual characteristic factors, genetic factors, and nutritional intake factors were found to be risk factors for hypertension in the middle age, and nutritional intake factors, dietary factors, and lifestyle factors were derived as risk factors for hypertension. The results of this study are expected to be used as basic data useful for hypertension management by life cycle.

Clinico-pathologic Factors and Machine Learning Algorithm for Survival Prediction in Parotid Gland Cancer (귀밑샘 암종에서 생존 예측을 위한 임상병리 인자 분석 및 머신러닝 모델의 구축)

  • Kwak, Seung Min;Kim, Se-Heon;Choi, Eun Chang;Lim, Jae-Yol;Koh, Yoon Woo;Park, Young Min
    • Korean Journal of Head & Neck Oncology
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    • v.38 no.1
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    • pp.17-24
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    • 2022
  • Background/Objectives: This study analyzed the prognostic significance of clinico-pathologic factors including comprehensive nodal factors in parotid gland cancers (PGCs) patients and constructed a survival prediction model for PGCs patients using machine learning techniques. Materials & Methods: A total of 131 PGCs patients were enrolled in the study. Results: There were 19 cases (14.5%) of lymph nodes (LNs) at the lower neck level and 43 cases (32.8%) involved multiple level LNs metastases. There were 2 cases (1.5%) of metastases to the contralateral LNs. Intraparotid LNs metastasis was observed in 6 cases (4.6%) and extranodal extension (ENE) findings were observed in 35 cases (26.7%). Lymphovascular invasion (LVI) and perineural invasion findings were observed in 42 cases (32.1%) and 49 cases (37.4%), respectively. Machine learning prediction models were constructed using clinico-pathologic factors including comprehensive nodal factors and Decision Tree and Stacking model showed the highest accuracy at 74% and 70% for predicting patient's survival. Conclusion: Lower level LNs metastasis and LNR have important prognostic significance for predicting disease recurrence and survival in PGCs patients. These two factors were used as important features for constructing machine learning prediction model. Our machine learning model could predict PGCs patient's survival with a considerable level of accuracy.