SLC5A11

Last update 08 May 2025

Basic Info

Synonyms

KST1, Na(+)/myo-inositol cotransporter 2, SGLT6

+ [10]

Introduction

Involved in the sodium-dependent cotransport of myo-inositol (MI) with a Na(+):MI stoichiometry of 2:1 (PubMed:15172003, PubMed:19032932). Exclusively responsible for apical MI transport and absorption in intestine (By similarity). Can also transport D-chiro-inositol (DCI) but not L-fucose (PubMed:15172003, PubMed:19032932). Exhibits stereospecific cotransport of both D-glucose and D-xylose (By similarity). May induce apoptosis through the TNF-alpha, PDCD1 pathway (PubMed:15172003, PubMed:18069935). May play a role in the regulation of MI concentration in serum, involving reabsorption in at least the proximal tubule of the kidney (By similarity).

100 Clinical Results associated with SLC5A11

100 Translational Medicine associated with SLC5A11

0 Patents (Medical) associated with SLC5A11

Literatures (Medical) associated with SLC5A11

01 Nov 2023·Oral Diseases

Involvement of ferroptosis in Porphyromonas gingivalis lipopolysaccharide‐stimulated periodontitis in vitro and in vivo

Article

Author: Cai, Qing ; He, Jie ; Li, Baosheng ; Li, Yuyang ; Meng, Weiyan ; Yin, Zhaoyi ; Qiao, Shuwei ; Li, Zhen

AbstractObjectivesFerroptosis is associated with multiple inflammatory diseases. Periodontitis is an inflammatory disease mainly caused by oral opportunistic pathogens. However, the ferroptosis–periodontitis relationship has not been thoroughly described. We here analyzed whether ferroptosis is involved in periodontitis.Materials and methodsHuman gingival fibroblasts (HGFs) were stimulated with P. gingivalis‐LPS and ferrostatin‐1 (Fer‐1, a ferroptosis inhibitor), and changes in mitochondrial morphology, ferroptosis‐related factors, and inflammation levels were detected. After the rat experimental periodontitis model was established, changes in ferroptosis‐related factors and inflammation levels were re‐evaluated in the same manner.ResultsPorphyromonas gingivalis‐LPS‐induced mitochondrial shrinkage, an increase in mitochondrial membrane density, and upregulation of reactive oxygen species in HGFs. The expression of prostaglandin‐endoperoxide synthase 2, transferrin receptor 1, and malondialdehyde and inflammation levels were upregulated, whereas the expression of solute carrier family seven member 11, glutathione peroxidase 4, superoxide dismutase, and glutathione were downregulated. Fer‐1 attenuated these aforementioned changes and inflammation levels induced by P. gingivalis‐LPS. The in vivo experiment results were consistent with the in vitro experiment results.ConclusionsFerroptosis is involved in inflammatory processes in HGFs upon P. gingivalis‐LPS stimulation. Ferroptosis is observed in the gingival tissue of periodontitis rats.

01 Jun 2023·Nature reviews. Rheumatology

Precision medicine in systemic lupus erythematosus.

Review

Author: Fasano, Serena ; Isenberg, David A. ; Ciccia, Francesco ; Nicoletti, Giovanni Francesco ; Milone, Alessandra

Systemic lupus erythematosus (SLE) is an autoimmune disease that has diverse clinical manifestations, ranging from restricted cutaneous involvement to life-threatening systemic organ involvement. The heterogeneity of pathomechanisms that lead to SLE contributes to between-patient variation in clinical phenotype and treatment response. Ongoing efforts to dissect cellular and molecular heterogeneity in SLE could facilitate the future development of stratified treatment recommendations and precision medicine, which is a considerable challenge for SLE. In particular, some genes involved in the clinical heterogeneity of SLE and some phenotype-related loci (STAT4, IRF5, PDGF genes, HAS2, ITGAM and SLC5A11) have an association with clinical features of the disease. An important part is also played by epigenetic varation (in DNA methylation, histone modifications and microRNAs) that influences gene expression and affects cell function without modifying the genome sequence. Immune profiling can help to identify an individual's specific response to a therapy and can potentially predict outcomes, using techniques such as flow cytometry, mass cytometry, transcriptomics, microarray analysis and single-cell RNA sequencing. Furthermore, the identification of novel serum and urinary biomarkers would enable the stratification of patients according to predictions of long-term outcomes and assessments of potential response to therapy.

01 Jan 2023·Annals of Translational Medicine

Identification of key genes, biological functions, and pathways of empagliflozin by network pharmacology and its significance in the treatment of type 2 diabetes mellitus

Article

Author: Zhong, Heng ; Du, Fu-Man ; Duan, Bin-Hong ; Qiao, Hong ; Wang, Wei-Min

BackgroundTo explore the key genes, biological functions, and pathways of empagliflozin in the treatment of type 2 diabetes mellitus (T2DM) through network pharmacology.MethodsThe TCMSP (a traditional Chinese medicine system pharmacology database and analysis platform) was used to screen empagliflozin's active components and targets. The target genes of T2DM were screened according to the GeneCards and OMIM databases, and a Venn diagram was constructed to obtain the target for T2DM treatment. Cytoscape 3.7.2 software was adopted to construct the drug-component-target-disease network. Functional annotation of Gene Ontology (GO) and enrichment analysis of Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways were performed using R software.ResultsTarget genes with a probability >0 were selected, among which Compound 012, Compound 060, Compound 093, Compound 111, and Compound 119 Swiss Target Prediction suggested that no similar active substances or predictable target genes were found. A "compound-target gene-disease" network was constructed, in which SLC5A2, SLC5A1, SLC5A4, SLC5A11, ADK, and ADORA2A were the core genes of T2DM. The key factors of the GO summary map included chemical reaction, membrane organelle, protein binding, and so on. The KEGG pathway summary map included the AMPK pathway, insulin resistance, the MAPK pathway, longevity-related pathway regulation, and so on. The top 10 pathways were endocrine resistance, the NF-κB signaling pathway, the HIF-1 signaling pathway, apoptosis, cell senescence, the Ras signaling pathway, the MAPK signaling pathway, the FoxO signaling pathway, the P13K-Akt signaling pathway, and the p53 signaling pathway. The binding of active compounds to key proteins was verified based on the Swiss Dock database, and the molecular docking of 193 bioactive compounds was finally verified. Among them, SLC5A2, SLC5A1, LDHA, KLK1, KLF5, and GSTP1 had better binding to the protein molecules.ConclusionsEmpagliflozin may regulate the targets of SLC5A2, SLC5A1, LDHA, KLK1, KLF5, and GSTP1. There are numerous ways of treating T2DM with empagliflozin, including by regulating apoptosis, cell aging, as well as the NF-κB, HIF-1HIF-1, Ras, MAPK, FoxO, P13K-Akt, and p53 pathways.

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SLC5A11

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