Correlation of Impaired NF-kB Activation in Sepsis-Induced Acute Lung Injury (ALI) in Diabetic Rats

Chen, Xiaoying; Sun, Zhangping; Zhang, Huanran; Wang, Lei

doi:10.1155/2021/5657284

Cited by 7 publications

(8 citation statements)

References 14 publications

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“…In line with it, significant lower levels of ZMYND11were detected in sepsis than healthy samples ( Figure 6B ). Also, impaired NF-kB activation has been correlated with sepsis-induced acute lung injury ( Chen et al, 2021 ). Thus, it could be inferred that ZMYND11 participated in sepsis progression through NF-κB signaling and further mechanisms needed to be explored.…”

Section: Resultsmentioning

confidence: 99%

Identification of Hub Genes With Differential Correlations in Sepsis

et al. 2022

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As a multifaceted syndrome, sepsis leads to high risk of death worldwide. It is difficult to be intervened due to insufficient biomarkers and potential targets. The reason is that regulatory mechanisms during sepsis are poorly understood. In this study, expression profiles of sepsis from GSE134347 were integrated to construct gene interaction network through weighted gene co-expression network analysis (WGCNA). R package DiffCorr was utilized to evaluate differential correlations and identify significant differences between sepsis and healthy tissues. As a result, twenty-six modules were detected in the network, among which blue and darkred modules exhibited the most significant associations with sepsis. Finally, we identified some novel genes with opposite correlations including ZNF366, ZMYND11, SVIP and UBE2H. Further biological analysis revealed their promising roles in sepsis management. Hence, differential correlations-based algorithm was firstly established for the discovery of appealing regulators in sepsis.

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Section: Resultsmentioning

confidence: 99%

Identification of Hub Genes With Differential Correlations in Sepsis

et al. 2022

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“…ALI is characterized by acute hypoxic respiratory failure caused by injury of alveolar epithelial cells [9]. ALI is caused by inflammation; however, understanding the pathogenesis of ALI requires further study [10].…”

Section: Discussionmentioning

confidence: 99%

Abietic acid attenuates LPS-induced acute lung injury by restoring Th17/Treg balance

Li¹,

Liu²,

Liu³

et al. 2022

Trop. J. Pharm Res

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Purpose: To investigate the mechanism of action and effects of abietic acid (AA) in a mouse acute lung injury (ALI) model. Methods: A mouse ALI model was established by lipopolysaccharide (LPS) induction. Lung tissues were examined for histological alterations and scored based on the degree of injury. Myeloperoxidase (MPO), IL-6, IL-1β, and TNF-α levels were measured by enzyme-linked immunosorbent assay (ELISA) while the numbers of Th17 and Treg cells were assessed by immunofluorescence. Protein expression levels of p-STAT3, p-STAT5, RORrt, and FOXP3 were analyzed by immunoblot assay. Expression of peroxisome proliferator-activated receptor γ (PPARγ) was assessed by immunoblot. Results: AA ameliorated LPS-induced lung injury in mice. Furthermore, AA ameliorated LPS-induced pneumonia in mice (p < 0.05) and restored Th17/Treg balance and Th17/Treg transcription factor expression that was altered by LPS induction. AA also activated PPARγ expression to restore Th17/Treg balance (p < 0.05). Conclusion: The results indicate that AA attenuates LPS-induced ALI in mice by restoring Th17/Treg balance. Thus, AA is a potential drug for the management of ALI; however, AA must first be evaluated in clinical studies.

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“…The degree of NF-kB activation is also linked to illness severity [ 21 ]. On the other hand, it was also shown that a deficit in the activation of NF-kB in sepsis is a factor involved in inducing complications (acute lung injury) and increasing the illness severity [ 22 ].…”

Section: Genomicsmentioning

confidence: 99%

The Omics Complexity in Sepsis: The Limits of the Personalized Medicine Approach

Isac,

Tanasescu

et al. 2024

JPM

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Sepsis is one of the most common causes of morbidity and mortality worldwide. Despite the remarkable advances in modern medicine throughout the last century, the mortality rates associated with sepsis have remained significantly elevated, both in high- and low-income countries. The main difficulty in the diagnosis and treatment of septic patients is the tremendous heterogeneity of this condition. The vast heterogeneity that characterizes sepsis ranges from the clinical presentation to the biological aspects of the disease. Evidence-based medicine approaches sepsis as a homogenous syndrome and does not consider the individual discrepancies between septic patients. This approach may contribute to the poor outcomes of septic patients. In recent years, personalized medicine has gained significant interest. This novel form of medicine underlines the importance of understanding the genetic, epigenetic, and molecular basis of a disease in order to provide a more tailored approach for the patient. The study of “omics”, such as cytomics, genomics, epigenomics, transcriptomics, proteomics, and metabolomics, provides a deeper comprehension of the complex interactions between the host, the disease, and the environment. The aim of this review is to summarize the potential role of a personalized approach in sepsis management, considering the interactions between various “omics”.

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Correlation of Impaired NF-kB Activation in Sepsis-Induced Acute Lung Injury (ALI) in Diabetic Rats

Cited by 7 publications

References 14 publications

Identification of Hub Genes With Differential Correlations in Sepsis

Identification of Hub Genes With Differential Correlations in Sepsis

Abietic acid attenuates LPS-induced acute lung injury by restoring Th17/Treg balance

The Omics Complexity in Sepsis: The Limits of the Personalized Medicine Approach

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