JIAOE SHENG¹, ZUMIN YI², SANSHAN HE¹, QINGCHAO WU¹, XIA HUANG¹, GUOQING YAN¹, YUFANG DAI^1,*, LINCHONG SU^1,*

BIOCELL, Vol.48, No.7, pp. 1095-1104, 2024, DOI:10.32604/biocell.2024.028421 - 03 July 2024

Abstract Introduction: Cholic acid (CA) is a natural steroid useful in treating chronic bronchitis and cholecystitis. On the other hand, its potential impact on osteoarthritis (OA) is unknown. Objective: Using an in vitro and in vivo osteoarthritis model, we sought to assess the chondroprotective properties of CA. Methods: We employed the Cell Counting Kit-8 to measure the impact of CA on chondrocyte activity to assess the toxicity of the cells. Multiple molecular biology experimental techniques were used to investigate potential signaling pathways that CA may use to prevent inflammation and give chondrocytes protection. Furthermore, how CA affects the OA… More >

CHAO LIU^*

BIOCELL, Vol.48, No.2, pp. 339-351, 2024, DOI:10.32604/biocell.2023.047044 - 23 February 2024

Abstract Introduction: Osteoarthritis (OA) is still an important health problem, and understanding its pathological mechanisms is essential for its diagnosis and treatment. There is evidence that autophagy may play a role in OA progression, but the exact mechanism remains unclear. Methods: In this study, we adopted a multi-prong approach to systematically identify the key autophagy-related genes (ARGs) associated with OA. Through weighted gene co-expression network analysis, we initially identified significant gene modules associated with OA. Subsequent differential gene analysis performed on normal and OA specimens. Further analysis later using the MCC algorithm highlighted hub ARGs. These… More >

LEI WANG^1,2, ZHI-HANG WANG¹, NIAN-PING CAO¹, BOBO CHEN¹, CHONG-JUN HUANG¹, LEI YANG¹, YE TIAN^1,*

BIOCELL, Vol.48, No.2, pp. 191-203, 2024, DOI:10.32604/biocell.2023.045349 - 23 February 2024

Abstract Estrogen-related receptor alpha can significantly affect cell metabolism and play key regulatory roles in healthy and diseased organisms. ERRα is also related to the onset and progression of various cancer types. ERRα is primarily expressed in metabolically active tissues and regulates the transcription of metabolic genes in such tissues. It coordinates metabolism and energy demand, affects osteoblasts, osteoclasts, and chondrocytes, promotes muscle regeneration, participates in angiogenesis, and regulates cell aging. In this study, the literature related to the identification of ERRα in skeletal, muscular, and vascular systems was reviewed to further elucidate this receptor. More >

YANG LI^1,2, JIAN LIU^1,3,*, YUEDI HU^1,2, CHENGZHI CONG^1,2, YIMING CHEN^1,2, QIAO ZHOU^1,2

BIOCELL, Vol.48, No.1, pp. 9-19, 2024, DOI:10.32604/biocell.2023.045862 - 30 January 2024

Abstract Rheumatoid arthritis (RA) is a prevalent autoimmune disease whose main features include chronic synovial inflammation, bone destruction, and joint degeneration. Neutrophils are often considered to be the first responders to inflammation and are a key presence in the inflammatory milieu of RA. Neutrophil extracellular traps (NETs), a meshwork of DNA-histone complexes and proteins released by activated neutrophils, are widely involved in the pathophysiology of autoimmune diseases, especially RA, in addition to playing a key role in the neutrophil innate immune response. NETs have been found to be an important source of citrullinated autoantigen antibodies and More > Graphic Abstract

Uma Ramasamy^*, Sundar Santhoshkumar

Journal of Intelligent Medicine and Healthcare, Vol.2, pp. 1-14, 2024, DOI:10.32604/jimh.2023.046995 - 10 January 2024

Abstract More than 140 autoimmune diseases have distinct autoantibodies and symptoms, and it makes it challenging to construct an appropriate model using Machine Learning (ML) for autoimmune disease. Arthritis-related autoimmunity requires special attention. Although many conventional biomarkers for arthritis have been established, more biomarkers of arthritis autoimmune diseases remain to be identified. This review focuses on the research conducted using data obtained from clinical laboratory testing of real-time arthritis patients. The collected data is labelled the Arthritis Profile Data (APD) dataset. The APD dataset is the retrospective data with many missing values. We undertook a comprehensive… More >

MINGCAI ZHANG, TANNER CAMPBELL, SPENCER FALCON, JINXI WANG^*

BIOCELL, Vol.47, No.10, pp. 2125-2132, 2023, DOI:10.32604/biocell.2023.030161 - 08 November 2023

Abstract Osteoarthritis (OA), the most common form of joint disease, is characterized clinically by joint pain, stiffness, and deformity. OA is now considered a whole joint disease; however, the breakdown of the articular cartilage remains the major hallmark of the disease. Current treatments targeting OA symptoms have a limited impact on impeding or reversing the OA progression. Understanding the molecular and cellular mechanisms underlying OA development is a critical barrier to progress in OA therapy. Recent studies by the current authors’ group and others have revealed that the nuclear factor of activated T cell 1 (NFAT1), More > Graphic Abstract

Abdul Haseeb¹, Muhammad Attique Khan^1,*, Faheem Shehzad¹, Majed Alhaisoni², Junaid Ali Khan¹, Taerang Kim³, Jae-Hyuk Cha³

Computer Systems Science and Engineering, Vol.47, No.2, pp. 2397-2415, 2023, DOI:10.32604/csse.2023.040529 - 28 July 2023

Abstract X-Ray knee imaging is widely used to detect knee osteoarthritis due to ease of availability and lesser cost. However, the manual categorization of knee joint disorders is time-consuming, requires an expert person, and is costly. This article proposes a new approach to classifying knee osteoarthritis using deep learning and a whale optimization algorithm. Two pre-trained deep learning models (Efficientnet-b0 and Densenet201) have been employed for the training and feature extraction. Deep transfer learning with fixed hyperparameter values has been employed to train both selected models on the knee X-Ray images. In the next step, fusion… More >

Abdul Qadir¹, Rabbia Mahum¹, Suliman Aladhadh^2,*

Computer Systems Science and Engineering, Vol.47, No.2, pp. 1365-1384, 2023, DOI:10.32604/csse.2023.037033 - 28 July 2023

Abstract A considerable portion of the population now experiences osteoarthritis of the knee, spine, and hip due to lifestyle changes. Therefore, early treatment, recognition and prevention are essential to reduce damage; nevertheless, this time-consuming activity necessitates a variety of tests and in-depth analysis by physicians. To overcome the existing challenges in the early detection of Knee Osteoarthritis (KOA), an effective automated technique, prompt recognition, and correct categorization are required. This work suggests a method based on an improved deep learning algorithm that makes use of data from the knee images after segmentation to detect KOA and… More >

QIAO ZHOU^2,3,4, JIAN LIU^1,2,*, LING XIN¹, YANYAN FANG^1,2, LEI WAN^1,2, DAN HUANG^1,2, JIANTING WEN^1,2

BIOCELL, Vol.47, No.7, pp. 1623-1643, 2023, DOI:10.32604/biocell.2023.028331 - 21 June 2023

Abstract Objective: On the basis of data mining, systematic pharmacology, molecular docking, and experiment validation, the oxidative-inflammatory molecular targets of Coicis Semen in the therapy of osteoarthritis (OA) were explored. Methods: The association rule analysis was effectively applied to highlight the correlation between Coicis Semen and oxidative inflammation indices. The random walk model was subsequently used to evaluate the clinical efficacy of Coicis Semen. Network pharmacology was used to predict network targets. The binding affinity of the active ingredient in Coicis Semen to the key target of OA was also successfully predicted. Results: Coicis Semen showed a significant reduction in oxidative-inflammatory indicators… More >

CHUYAO WANG^1,2,#, CHUAN LU^2,#, LUXIANG ZOU^2,*, DONGMEI HE^2,*

BIOCELL, Vol.47, No.6, pp. 1293-1306, 2023, DOI:10.32604/biocell.2023.028199 - 19 May 2023

Abstract Background: Temporomandibular joint osteoarthritis (TMJOA) is an end-stage disease that seriously affects the patients’ quality of life. Molecular insights in advancing our understanding of TMJOA are the need of the hour. Methods: We performed RNA high-throughput sequencing and bioinformatics analysis of differentially expressed (DE) long non-coding RNA (lncRNAs), microRNAs (miRNAs), and messenger RNA (mRNAs) in human synovial TMJOA tissues. Firstly, synovium samples of TMJOA patients and non-TMJOA controls were collected for highthroughput sequencing of lncRNAs, miRNAs, and mRNAs. We then performed biological function analysis of the top 100 mRNAs with more than 2-fold differential expression, and… More >