Apolipoproteins L1-6 share key cation channel-regulating residues but have different membrane insertion and ion conductance properties

Pant, Jyoti; GIovinazzo, Joseph; Tuka, Lilit S.; Peña, Darwin; Raper, Jayne; Thomson, Russell

doi:10.1016/j.jbc.2021.100951

Cited by 10 publications

(14 citation statements)

References 61 publications

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“…APOL6 is a lipid-binding protein with the BH3 domain. It mediates apoptosis through interaction with members of the Bcl-2 family and affects the innate immunity of different microbial pathogens ( Liu et al, 2005 ; Pant et al, 2021 ).…”

Section: Discussionmentioning

confidence: 99%

Development of Personalized Signature Based on the Immune Landscape to Predict the Prognosis of Osteosarcoma and the Response to Immunotherapy and Targeted Therapy

Feng

Zhao

et al. 2022

Front. Mol. Biosci.

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As a heterogeneous and aggressive disease, osteosarcoma (OS) faces great challenges to prognosis and individualized treatment. Hence, we explore the role of immune-related genes in predicting prognosis and responsiveness to immunotherapy and targeted therapies in patients with OS based on the immunological landscape of osteosarcoma. Based on the database of the Therapeutical Applicable Research to Generate Effective Treatments (TARGET), single-sample gene set enrichment analysis (ssGSEA) was used to obtain the enrichment scores of 29 immune characteristics. A series of bioinformatics methods were performed to construct the immune-related prognostic signature (IRPS). Gene set enrichment analysis and gene set variation analysis were used to explore the biological functions of IRPS. We also analyzed the relationship between IRPS and tumor microenvironment. Lastly, the reactivity of IRPS to immune checkpoint therapy and targeted drugs was explored. The ssGSEA algorithm was used to define two immune subtypes, namely Immunity_High and Immunity_Low. Immunity_High was associated with a good prognosis and was an independent prognostic factor of OS. The IRPS containing 7 genes was constructed by the least absolute shrinkage and selection operator Cox regression. The IRPS can divide patients into low- and high-risk patients. Compared with high-risk patients, low-risk patients had a better prognosis and were positively correlated with immune cell infiltration and immune function. Low-risk patients benefited more from immunotherapy, and the sensitivity of targeted drugs in high- and low-risk groups was determined. IRPS can be used to predict the prognosis of OS patients, and provide therapeutic responsiveness to immunotherapy and targeted therapy.

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Section: Discussionmentioning

confidence: 99%

Development of Personalized Signature Based on the Immune Landscape to Predict the Prognosis of Osteosarcoma and the Response to Immunotherapy and Targeted Therapy

Feng

Zhao

et al. 2022

Front. Mol. Biosci.

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“…APOL4 is a member of the lipoprotein L family, which encodes a protein that may play a role in the reverse transport of cholesterol from peripheral cells to the liver and in the transport and exchange of lipids throughout the body. The APOL gene family is thought to be innate immune genes that evolved rapidly in the primate lineage, and their expression is upregulated by proinflammatory signals [ 5 , 6 ]. It has been reported that APOL4 may be a prognostic marker for breast cancer [ 7 ].…”

Section: Discussionmentioning

confidence: 99%

“…Apolipoprotein L4 (APOL4), a member of the lipoprotein L family, encodes a protein that may exert an action in reverse cholesterol transport from peripheral cells to the liver, as well as in lipid transport and exchange throughout the body ( ) (accessed on 11 January 2022). The APOL gene family is thought to be innate immune genes that have evolved rapidly in the primate lineage, and their expression is upregulated by pro-inflammatory signals such as interferon, tumor necrosis factor alpha and viral mimics [ 5 , 6 ]. Previous study has illustrated that lipid metabolism is largely reprogrammed in cancer and that most types of cancer use lipids and cholesterol to meet their unlimited energy needs and the demands of increased membrane biosynthesis.…”

Section: Introductionmentioning

confidence: 99%

APOL4, a Novel Immune-Related Prognostic Biomarker for Glioma

Zhu

Shan

et al. 2022

JCM

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Glioma is the common, most aggressive and poorest prognostic tumor type in the brain. More and more biomarkers associated with glioma treatment, prognosis, and immunity are being discovered. Here, we aimed to explore the underlying biological functions and prognostic predictive value of Apolipoprotein L4 (APOL4) in glioma. We downloaded the expression data of APOL4 and clinical information from several databases and used R software for preprocessing. The clinical significance of APOL4 in a glioma outcome was explored by the Cox regression analysis and Kaplan–Meier survival analysis. In addition, immune infiltrates and microenvironmental indicators were assessed by CIBERSORT and TIMER. GO and KEGG analyses were used to analyze the potential functions of APOL4 in gliomas. APOL4 expression was increased in glioma specimens compared to normal tissues and correlated dramatically with the WHO grade. A survival analysis showed a shorter overall survival (OS) in glioma patients with APOL4 overexpression, and a Cox regression analysis showed that APOL4 was an independent prognostic factor for the OS of glioma patients. GSEA, GO, and KEGG enrichment analyses showed remarkable enrichment in immune-related pathways. APOL4 expression was positively correlated with immune infiltration (including DC cells, neutrophils, CD8+ T cells, B cells, macrophages, CD4+ T cells, etc.) and microenvironmental parameters (including immune, stromal, and ESTIMATE scores) in gliomas. Glioma patients with a higher expression of APOL4 may be more sensitive to immune checkpoint inhibitors (ICI). In conclusion, these findings suggest that APOL4 is associated with the tumor grade and immune infiltrates; APOL4 may be a new and potential biomarker for therapeutic and prognostic evaluations that may further suggest the therapeutic efficacy of immunotherapy.

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“…ApoL-I is 43 kDa in molecular weight. The apolipoprotein L gene family includes ApoL1–6 [ 187 ]. APOL-I and APOL-II co-localize with ApoA-I in HDL particles and play important roles in lipid exchange, transport and movement in the kidneys [ 188 , 189 ].…”

Section: Roles and Biological And Pathological Functions Of Apolipopr...mentioning

confidence: 99%

The Roles of Fatty Acids and Apolipoproteins in the Kidneys

Pan

2022

Metabolites

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The kidneys are organs that require energy from the metabolism of fatty acids and glucose; several studies have shown that the kidneys are metabolically active tissues with an estimated energy requirement similar to that of the heart. The kidneys may regulate the normal and pathological function of circulating lipids in the body, and their glomerular filtration barrier prevents large molecules or large lipoprotein particles from being filtered into pre-urine. Given the permeable nature of the kidneys, renal lipid metabolism plays an important role in affecting the rest of the body and the kidneys. Lipid metabolism in the kidneys is important because of the exchange of free fatty acids and apolipoproteins from the peripheral circulation. Apolipoproteins have important roles in the transport and metabolism of lipids within the glomeruli and renal tubules. Indeed, evidence indicates that apolipoproteins have multiple functions in regulating lipid import, transport, synthesis, storage, oxidation and export, and they are important for normal physiological function. Apolipoproteins are also risk factors for several renal diseases; for example, apolipoprotein L polymorphisms induce kidney diseases. Furthermore, renal apolipoprotein gene expression is substantially regulated under various physiological and disease conditions. This review is aimed at describing recent clinical and basic studies on the major roles and functions of apolipoproteins in the kidneys.

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Apolipoproteins L1-6 share key cation channel-regulating residues but have different membrane insertion and ion conductance properties

Cited by 10 publications

References 61 publications

Development of Personalized Signature Based on the Immune Landscape to Predict the Prognosis of Osteosarcoma and the Response to Immunotherapy and Targeted Therapy

Development of Personalized Signature Based on the Immune Landscape to Predict the Prognosis of Osteosarcoma and the Response to Immunotherapy and Targeted Therapy

APOL4, a Novel Immune-Related Prognostic Biomarker for Glioma

The Roles of Fatty Acids and Apolipoproteins in the Kidneys

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