SLC16A11

Last update 08 May 2025

Basic Info

Synonyms

FLJ90193, MCT 11, MCT11

+ [6]

Introduction

Proton-linked monocarboxylate transporter. It catalyzes the transport of pyruvate across the plasma membrane (PubMed:28666119). Probably involved in hepatic lipid metabolism: overexpression results in an increase of triacylglycerol(TAG) levels, small increases in intracellular diacylglycerols and decreases in lysophosphatidylcholine, cholesterol ester and sphingomyelin lipids (PubMed:24390345).

100 Clinical Results associated with SLC16A11

100 Translational Medicine associated with SLC16A11

0 Patents (Medical) associated with SLC16A11

Literatures (Medical) associated with SLC16A11

01 Dec 2024·Nature Immunology

Dysfunction of exhausted T cells is enforced by MCT11-mediated lactate metabolism

Article

Author: Frisch, Andrew T. ; Poholek, Amanda C. ; Xie, Bingxian ; Dean, Victoria ; Cillo, Anthony R. ; Poholek, Amanda C ; Peralta, Ronal M. ; Kane, Lawrence P ; Peralta, Ronal M ; Spahr, Kellie ; Lontos, Konstantinos ; Ford, B Rhodes ; Quann, Kevin ; Kane, Lawrence P. ; Nieves-Rosado, Hector ; Ford, B. Rhodes ; Joshi, Supriya ; Cillo, Anthony R ; Philbin, Mary ; Gingras, Sebastian ; Delgoffe, Greg M ; Rivadeneira, Dayana B ; Delgoffe, Greg M. ; Frisch, Andrew T ; Rivadeneira, Dayana B.

AbstractCD8+ T cells are critical mediators of antitumor immunity but differentiate into a dysfunctional state, known as T cell exhaustion, after persistent T cell receptor stimulation in the tumor microenvironment (TME). Exhausted T (Tex) cells are characterized by upregulation of coinhibitory molecules and reduced polyfunctionality. T cells in the TME experience an immunosuppressive metabolic environment via reduced levels of nutrients and oxygen and a buildup of lactic acid. Here we show that terminally Tex cells uniquely upregulate Slc16a11, which encodes monocarboxylate transporter 11 (MCT11). Conditional deletion of MCT11 in T cells reduced lactic acid uptake by Tex cells and improved their effector function. Targeting MCT11 with an antibody reduced lactate uptake specifically in Tex cells, which, when used therapeutically in tumor-bearing mice, resulted in reduced tumor growth. These data support a model in which Tex cells upregulate MCT11, rendering them sensitive to lactic acid present at high levels in the TME.

01 Sep 2024·Current Developments in Nutrition

Metabolomic Profile Alterations Associated with the SLC16A11 Risk Haplotype Following a Lifestyle Intervention in People With Prediabetes

Article

Author: Garibay-Gutierrez, Maria Fernanda ; Aguilar-Salinas, Carlos A. ; Tusie-Luna, Teresa ; Vargas-Vázquez, Arsenio ; Medina-Garcia, Andrea Celeste ; Sevilla-González, Magdalena ; Garibay-Gutiérrez, Maria Fernanda ; Clish, Clary B. ; Almeda-Valdes, Paloma ; Medina-García, Andrea Celeste ; Clish, Clary B ; Ordoñez-Sánchez, Maria Luisa ; Aguilar-Salinas, Carlos A

BackgroundA risk haplotype in SLC16A11 characterized by alterations in fatty acid metabolism emerged as a genetic risk factor associated with increased susceptibility to type 2 diabetes (T2D) in Mexican population. Its role on treatment responses is not well understood.ObjectivesWe aimed to determine the impact of the risk haplotype on the metabolomic profile during a lifestyle intervention (LSI).MethodsWe recruited Mexican-mestizo individuals with ≥1 prediabetes criteria according to the American Diabetes Association with a body mass index between 25 and 45 kg/m². We conducted a 24-wk quasiexperimental LSI study for diabetes prevention. Here, we compared longitudinal plasma liquid chromatography/mass spectrometry metabolomic changes between carriers and noncarriers. We analyzed the association of risk haplotype with metabolites leveraging repeated assessments using multivariable-adjusted linear mixed models.ResultsBefore the intervention, carriers (N = 21) showed higher concentrations of hippurate, C16 carnitine, glycine, and cinnamoylglycine. After 24 wk of LSI, carriers exhibited a deleterious metabolomic profile. This profile was characterized by increased concentrations of hippurate, cinnamoglycine, xanthosine, N-acetylputrescine, L-acetylcarnitine, ceramide (d18:1/24:1), and decreased concentrations of citrulline and phosphatidylethanolamine. These metabolites were associated with higher concentrations of total cholesterol, triglycerides, and low density lipoprotein cholesterol. The effect of LSI on the risk haplotype was notably more pronounced in its impact on 2 metabolites: methylmalonylcarnitine (β: -0.56; P-interaction = 0.014) and betaine (β: -0.64; P-interaction = 0.017). Interestingly, lower consumption across visits of polyunsaturated (β: -0.038; P = 0.017) fatty acids were associated with higher concentrations of methylmalonylcarnitine. Covariates for adjustment across models included age, sex, genetic ancestry principal components, and body mass index.ConclusionsOur study highlights the persistence of deleterious metabolomic patterns associated with the risk haplotype before and during a 24-wk LSI. We also emphasize the potential regulatory role of polyunsaturated fatty acids on methylmalonylcarnitine concentrations suggesting a route for improving interventions for individuals with high-genetic risk.

01 Jun 2024·Diabetes

Epistasis Between HLA-DRB1*16:02:01 and SLC16A11 T-C-G-T-T Reduces Odds for Type 2 Diabetes in Southwest American Indians

Article

Author: Hanson, Robert L. ; Bogardus, Clifton ; Peters, Bjoern ; Knowler, William C. ; Baier, Leslie J. ; Kearns, Kendall ; Williams, Robert C.

We sought to identify genetic/immunologic contributors of type 2 diabetes (T2D) in an indigenous American community by genotyping all study participants for both high-resolution HLA-DRB1 alleles and SLC16A11 to test their risk and/or protection for T2D. These genes were selected based on independent reports that HLA-DRB1*16:02:01 is protective for T2D and that SLC16A11 associates with T2D in individuals with BMI <35 kg/m2. Here, we test the interaction of the two loci with a more complete data set and perform a BMI sensitivity test. We defined the risk protection haplotype of SLC16A11, T-C-G-T-T, as allele 2 of a diallelic genetic model with three genotypes, SLC16A11*11, *12, and *22, where allele 1 is the wild type. Both earlier findings were confirmed. Together in the same logistic model with BMI ≥35 kg/m2, DRB1*16:02:01 remains protective (odds ratio [OR] 0.73), while SLC16A11 switches from risk to protection (OR 0.57 [*22] and 0.78 [*12]); an added interaction term was statistically significant (OR 0.49 [*12]). Bootstrapped (b = 10,000) statistical power of interaction, 0.4801, yielded a mean OR of 0.43. Sensitivity analysis demonstrated that the interaction is significant in the BMI range of 30–41 kg/m2. To investigate the epistasis, we used the primary function of the HLA-DRB1 molecule, peptide binding and presentation, to search the entire array of 15-mer peptides for both the wild-type and ancient human SLC16A11 molecules for a pattern of strong binding that was associated with risk and protection for T2D. Applying computer binding algorithms suggested that the core peptide at SLC16A11 D127G, FSAFASGLL, might be key for moderating risk for T2D with potential implications for type 1 diabetes.Article Highlights

Analysis

Perform a panoramic analysis of this field.

view full example data

AI Agents Built for Biopharma Breakthroughs

Accelerate discovery. Empower decisions. Transform outcomes.

Get started for free today!

Accelerate Strategic R&D decision making with Synapse, PatSnap’s AI-powered Connected Innovation Intelligence Platform Built for Life Sciences Professionals.

Start your data trial now!

Synapse data is also accessible to external entities via APIs or data packages. Empower better decisions with the latest in pharmaceutical intelligence.

Bio

Bio Sequences Search & Analysis

Chemical

Chemical Structures Search & Analysis

SLC16A11

Basic Info

Related

Analysis