BINGJIE LIN¹, XIAOBO YING², CHUANLING ZHANG^3,*, GUOJUN ZHANG^1,*

BIOCELL, Vol.48, No.11, pp. 1613-1623, 2024, DOI:10.32604/biocell.2024.053652 - 07 November 2024

Abstract Objectives: This study explores the protective effects of glycyrrhizic acid (GA) on sepsis-induced cellular damage and inflammation in acute lung injury (ALI), specifically through the modulation of the sirtuin 1 (SIRT1) and high mobility group box 1 (HMGB1) pathway. Methods: The study employed two experimental models: lipopolysaccharide (LPS)-induced BEAS-2B human lung epithelial cells and cecal ligation and puncture (CLP) rats, to simulate sepsis conditions. The cell model involved treatments with LPS, GA, control siRNA (si-NC), and SIRT1-specific siRNA (si-SIRT1). Evaluations included cell viability, apoptosis, and cytokine production. In the rat model, treatments included GA and… More >

Md Mahfuzur Rahman^1,*, Md Solaiman Chowdhury², Mohammad Shorfuzzaman³, Lutful Karim⁴, Md Shafiullah⁵, Farag Azzedin¹

CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.3, pp. 2501-2525, 2024, DOI:10.32604/cmes.2024.055065 - 31 October 2024

Abstract This article presents an innovative approach that leverages interpretable machine learning models and cloud computing to accelerate the detection of septic shock by analyzing electronic health data. Unlike traditional methods, which often lack transparency in decision-making, our approach focuses on early detection, offering a proactive strategy to mitigate the risks of sepsis. By integrating advanced machine learning algorithms with interpretability techniques, our method not only provides accurate predictions but also offers clear insights into the factors influencing the model’s decisions. Moreover, we introduce a preference-based matching algorithm to evaluate disease severity, enabling timely interventions guided… More >

Sapiah Sakri¹, Shakila Basheer¹, Zuhaira Muhammad Zain¹, Nurul Halimatul Asmak Ismail^2,*, Dua’ Abdellatef Nassar¹, Manal Abdullah Alohali¹, Mais Ayman Alharaki¹

CMC-Computers, Materials & Continua, Vol.79, No.1, pp. 1157-1185, 2024, DOI:10.32604/cmc.2024.048051 - 25 April 2024

Abstract Background: Sepsis, a potentially fatal inflammatory disease triggered by infection, carries significant health implications worldwide. Timely detection is crucial as sepsis can rapidly escalate if left undetected. Recent advancements in deep learning (DL) offer powerful tools to address this challenge. Aim: Thus, this study proposed a hybrid CNNBDLSTM, a combination of a convolutional neural network (CNN) with a bi-directional long short-term memory (BDLSTM) model to predict sepsis onset. Implementing the proposed model provides a robust framework that capitalizes on the complementary strengths of both architectures, resulting in more accurate and timelier predictions. Method: The sepsis prediction… More >

RAN PAN^1,#, JIAYAN MAO^2,#, YUELIANG ZHENG³, WEI CHEN², JUNPING GUO^1,*, LIJUN WANG^3,*

BIOCELL, Vol.48, No.3, pp. 431-441, 2024, DOI:10.32604/biocell.2023.046484 - 15 March 2024

Abstract Background: Sepsis, a type of systemic disease, can impact nearly all organs, tissues and cells. Among them, endothelial cells are amongst the first to be affected and respond to the insult. In this study, we investigated the protective effects of microRNA-30a-5p (miR-30a-5p) on human pulmonary microvascular endothelial cells (HPMECs) treated with lipolysaccharide (LPS). Methods: An in vitro model of sepsis was established in HPMECs with the use of LPS. Transfecting with different tools (mimetic and inhibitor) to modify miR-30a-5p expression. Cell viability, proliferation and apoptosis were detected by the CCK-8 assay, the EdU kit and fluorescence… More >

RYAN STARK^*

BIOCELL, Vol.47, No.6, pp. 1191-1198, 2023, DOI:10.32604/biocell.2023.027838 - 19 May 2023

Abstract Protein-mediated interactions are the fundamental mechanism through which cells regulate health and disease. These interactions require physical contact between proteins and their respective targets of interest. These targets include not only other proteins but also nucleic acids and other important molecules as well. These proteins are often involved in multibody complexes that work dynamically to regulate cellular health and function. Various techniques have been adapted to study these important interactions, such as affinity-based assays, mass spectrometry, and fluorescent detection. The application of these techniques has led to a greater understanding of how protein interactions are More >

Priti Shaw¹, Kaustubh Pachpor², Suresh Sankaranarayanan^3,*

Computer Systems Science and Engineering, Vol.44, No.1, pp. 311-325, 2023, DOI:10.32604/csse.2023.025281 - 01 June 2022

Abstract Neonatal sepsis is the third most common cause of neonatal mortality and a serious public health problem, especially in developing countries. There have been researches on human sepsis, vaccine response, and immunity. Also, machine learning methodologies were used for predicting infant mortality based on certain features like age, birth weight, gestational weeks, and Appearance, Pulse, Grimace, Activity and Respiration (APGAR) score. Sepsis, which is considered the most determining condition towards infant mortality, has never been considered for mortality prediction. So, we have deployed a deep neural model which is the state of art and performed More >

EJDER SAYLAV BORA^1,*, MüMIN ALPER ERDOĞAN², BAHATTIN ÖZKUL³, İBRAHIM HALIL SEVER⁴, İBRAHIM SÖĞÜT⁵, CANAN HÜRDAĞ⁶, OYTUN ERBAŞ⁷

BIOCELL, Vol.46, No.2, pp. 433-439, 2022, DOI:10.32604/biocell.2022.018510 - 20 October 2021

Abstract Purpose: Digitoxin is a cardiac glycoside used in the treatment of heart failure. Inspired by its known anti-inflammatory effect, this study aims to investigate the effect of digoxin in a sepsis model and to bring to light its effect and underlying mechanism in acute lung injury (ALI). Method: 28 wistar albino rats were divided into 4 groups. Sepsis model is performed by the feces intraperitoneal-injection procedure (FIP). Results: TNF-a, CRP, IL-6, IL 1-Beta, lactic acid, and MDA values were significantly decreased in the FIP+digitoxin group compared to the FIP+Saline group. When the same groups were examined, histological More >

GABOR XANTUS^1,*, BALINT KISS², GYULA MOLNAR², CANDICE MATHESON³, V. ANNA GYARMATHY⁴, PETER L. KANIZSAI⁵

BIOCELL, Vol.45, No.3, pp. 445-449, 2021, DOI:10.32604/biocell.2021.014754 - 03 March 2021

Abstract For about a quarter of a century, monitoring lactate levels and/or lactate clearance has been an unquestionable cornerstone in sepsis management. The elevated lactate level appeared to be an independent predictor of mortality, and the consequent metabolic acidosis was thought to explain a number of pathophysiological changes seen in septic shock. Recent physiological and clinical findings seem to challenge the adverse role of lactic acidosis in sepsis. Evidence suggests that lactate levels are not necessarily directly proportional to either tissue or cellular hypoxia, and conversely, despite high lactate levels, increased peripheral tissue oxygen pressure can… More >

HANYU SHEN¹, SHIQI REN², WEI WANG², CHENLIN ZHANG³, HAIYAN HAO⁴, QIUYAN SHEN⁵, YINONG DUAN¹, ZIHENG WANG^2,6,*, WENLIANG GE^7,*

BIOCELL, Vol.44, No.4, pp. 583-589, 2020, DOI:10.32604/biocell.2020.011345 - 24 December 2020

Abstract Sepsis, characterized as life-threatening sequential organ failure, is caused by a dysregulated host immune response to a pathogen. Conventional practice for sepsis is to control the inflammation source and administer highgrade antibiotics. However, the mortality rate of sepsis varies from 25–30% and can reach 50% if a septic shock occurs. In our current study, we used bioinformatics technology to detect immune status profiles in sepsis at the genomic level. We downloaded and analyzed gene expression profiles of GSE28750 from the Gene Expression Omnibus (GEO) database to determine differential gene expression and immune status between sepsis… More >

Alessia Callegari¹, Barbara Burkhardt¹, Christa Relly², Walter Knirsch¹, Martin Christmann¹

Congenital Heart Disease, Vol.14, No.4, pp. 671-677, 2019, DOI:10.1111/chd.12830

Abstract Background: Since routine clinical use of antibiotics as well as surgical and catheter‐ based closure of a patent arterial duct (PDA), PDA‐associated infective endarteritis (PDA‐IE) is rare but can still occur when the ductus is still open or as it closes. Thus, clinicians should maintain a high index of concern for patients with unexplained fever.
Methods: We report on a PDA‐IE in a young infant shortly after potentially delayed obliteration of a PDA. We discuss this case report by reviewing the literature in regard to the pathogenesis (infection primary or secondary to PDA thrombus formation), clinical (new… More >