Itaconate boosts malaria via induction of PD-L1
Cell Metab. 2024 Mar 5;36(3):457-458. doi: 10.1016/j.cmet.2024.02.005.ABSTRACTThe Krebs-cycle-derived metabolite itaconate has been shown to be immunomodulatory, targeting multiple processes in macrophages. Ramalho et al. reveal an additional role for itaconate in malaria.1Plasmodium Chabaudi induces itaconate in dendritic cells (DCs), leading to programmed death-ligand 1 (PD-L1) induction. This suppresses CD8+ T cells, important for host defense against malaria, thereby promoting parasitemia.PMID:38447526 | DOI:10.1016/j.cmet.2024.02.005 (Source: Cell Metabolism)
Source: Cell Metabolism - March 6, 2024 Category: Cytology Authors: Yukun Min Luke A J O'Neill Source Type: research

UCP1 and CKB are parallel players in BAT
Cell Metab. 2024 Mar 5;36(3):459-460. doi: 10.1016/j.cmet.2024.01.016.ABSTRACTIt is generally believed that the contributions of the UCP1-independent thermogenic pathways are secondary to UCP1-mediated thermogenesis in BAT. Now, Rahbani et al. demonstrate in vivo that adaptive thermogenesis in brown adipose tissue is regulated by UCP1 and CKB in parallel.PMID:38447527 | DOI:10.1016/j.cmet.2024.01.016 (Source: Cell Metabolism)
Source: Cell Metabolism - March 6, 2024 Category: Cytology Authors: Meng Dong Ziyu Cheng Wanzhu Jin Source Type: research

Carnosine facilitates lysosomal release of inhibitors of T  cell surveillance
Cell Metab. 2024 Mar 5;36(3):461-462. doi: 10.1016/j.cmet.2024.02.003.ABSTRACTCancer metabolism produces large fluxes of lactate and H+, which are extruded by membrane transporters. However, H+ production and extrusion must be coupled by diffusion, facilitated by mobile buffers. Yan et al. propose that carnosine, generated by CARNS2, provides this mobile buffering and enables lysosomal functions that block T cell surveillance.PMID:38447528 | DOI:10.1016/j.cmet.2024.02.003 (Source: Cell Metabolism)
Source: Cell Metabolism - March 6, 2024 Category: Cytology Authors: Pawel Swietach Marja J äättelä Shari Pillon-Thomas Ebbe Boedtkjer Source Type: research

Supercharging cancer-fighting T  cells with lithium carbonate
Cell Metab. 2024 Mar 5;36(3):463-465. doi: 10.1016/j.cmet.2024.02.006.ABSTRACTLactate influences the behavior of various immune cell types. In a recent Nature Immunology study, Ma et al. revealed that lithium carbonate induces monocarboxylate transporter 1 translocation to mitochondria, enhancing cytoplasmic lactate transport into the mitochondria and increasing lactate mitochondrial metabolism, thereby promoting T cell effector function.PMID:38447529 | DOI:10.1016/j.cmet.2024.02.006 (Source: Cell Metabolism)
Source: Cell Metabolism - March 6, 2024 Category: Cytology Authors: Yue Xu Kaili Ma Lianjun Zhang Guideng Li Source Type: research

Hepatic malonyl-CoA synthesis restrains gluconeogenesis by suppressing fat oxidation, pyruvate carboxylation, and amino acid availability
We report that inhibition of ACC also produces unexpected secondary effects on metabolism. Liver-specific double ACC1/2 knockout (LDKO) or pharmacologic inhibition of ACC increased anaplerosis, tricarboxylic acid (TCA) cycle intermediates, and gluconeogenesis by activating hepatic CPT-1 and pyruvate carboxylase flux in the fed state. Fasting should have marginalized the role of ACC, but LDKO mice maintained elevated TCA cycle intermediates and preserved glycemia during fasting. These effects were accompanied by a compensatory induction of proteolysis and increased amino acid supply for gluconeogenesis, which was offset by ...
Source: Cell Metabolism - March 6, 2024 Category: Cytology Authors: Stanislaw Deja Justin A Fletcher Chai-Wan Kim Blanka Kucejova Xiaorong Fu Monika Mizerska Morgan Villegas Natalia Pudelko-Malik Nicholas Browder Melissa Inigo-Vollmer Cameron J Menezes Prashant Mishra Eric D Berglund Jeffrey D Browning John P Thyfault Jam Source Type: research

Itaconate boosts malaria via induction of PD-L1
Cell Metab. 2024 Mar 5;36(3):457-458. doi: 10.1016/j.cmet.2024.02.005.ABSTRACTThe Krebs-cycle-derived metabolite itaconate has been shown to be immunomodulatory, targeting multiple processes in macrophages. Ramalho et al. reveal an additional role for itaconate in malaria.1Plasmodium Chabaudi induces itaconate in dendritic cells (DCs), leading to programmed death-ligand 1 (PD-L1) induction. This suppresses CD8+ T cells, important for host defense against malaria, thereby promoting parasitemia.PMID:38447526 | DOI:10.1016/j.cmet.2024.02.005 (Source: Cell Metabolism)
Source: Cell Metabolism - March 6, 2024 Category: Cytology Authors: Yukun Min Luke A J O'Neill Source Type: research

UCP1 and CKB are parallel players in BAT
Cell Metab. 2024 Mar 5;36(3):459-460. doi: 10.1016/j.cmet.2024.01.016.ABSTRACTIt is generally believed that the contributions of the UCP1-independent thermogenic pathways are secondary to UCP1-mediated thermogenesis in BAT. Now, Rahbani et al. demonstrate in vivo that adaptive thermogenesis in brown adipose tissue is regulated by UCP1 and CKB in parallel.PMID:38447527 | DOI:10.1016/j.cmet.2024.01.016 (Source: Cell Metabolism)
Source: Cell Metabolism - March 6, 2024 Category: Cytology Authors: Meng Dong Ziyu Cheng Wanzhu Jin Source Type: research

Carnosine facilitates lysosomal release of inhibitors of T  cell surveillance
Cell Metab. 2024 Mar 5;36(3):461-462. doi: 10.1016/j.cmet.2024.02.003.ABSTRACTCancer metabolism produces large fluxes of lactate and H+, which are extruded by membrane transporters. However, H+ production and extrusion must be coupled by diffusion, facilitated by mobile buffers. Yan et al. propose that carnosine, generated by CARNS2, provides this mobile buffering and enables lysosomal functions that block T cell surveillance.PMID:38447528 | DOI:10.1016/j.cmet.2024.02.003 (Source: Cell Metabolism)
Source: Cell Metabolism - March 6, 2024 Category: Cytology Authors: Pawel Swietach Marja J äättelä Shari Pillon-Thomas Ebbe Boedtkjer Source Type: research

Supercharging cancer-fighting T  cells with lithium carbonate
Cell Metab. 2024 Mar 5;36(3):463-465. doi: 10.1016/j.cmet.2024.02.006.ABSTRACTLactate influences the behavior of various immune cell types. In a recent Nature Immunology study, Ma et al. revealed that lithium carbonate induces monocarboxylate transporter 1 translocation to mitochondria, enhancing cytoplasmic lactate transport into the mitochondria and increasing lactate mitochondrial metabolism, thereby promoting T cell effector function.PMID:38447529 | DOI:10.1016/j.cmet.2024.02.006 (Source: Cell Metabolism)
Source: Cell Metabolism - March 6, 2024 Category: Cytology Authors: Yue Xu Kaili Ma Lianjun Zhang Guideng Li Source Type: research

Hepatic malonyl-CoA synthesis restrains gluconeogenesis by suppressing fat oxidation, pyruvate carboxylation, and amino acid availability
We report that inhibition of ACC also produces unexpected secondary effects on metabolism. Liver-specific double ACC1/2 knockout (LDKO) or pharmacologic inhibition of ACC increased anaplerosis, tricarboxylic acid (TCA) cycle intermediates, and gluconeogenesis by activating hepatic CPT-1 and pyruvate carboxylase flux in the fed state. Fasting should have marginalized the role of ACC, but LDKO mice maintained elevated TCA cycle intermediates and preserved glycemia during fasting. These effects were accompanied by a compensatory induction of proteolysis and increased amino acid supply for gluconeogenesis, which was offset by ...
Source: Cell Metabolism - March 6, 2024 Category: Cytology Authors: Stanislaw Deja Justin A Fletcher Chai-Wan Kim Blanka Kucejova Xiaorong Fu Monika Mizerska Morgan Villegas Natalia Pudelko-Malik Nicholas Browder Melissa Inigo-Vollmer Cameron J Menezes Prashant Mishra Eric D Berglund Jeffrey D Browning John P Thyfault Jam Source Type: research

Transforming the cardiometabolic disease landscape: Multimodal AI-powered approaches in prevention and management
Cell Metab. 2024 Feb 20:S1550-4131(24)00048-2. doi: 10.1016/j.cmet.2024.02.002. Online ahead of print.ABSTRACTThe rise of artificial intelligence (AI) has revolutionized various scientific fields, particularly in medicine, where it has enabled the modeling of complex relationships from massive datasets. Initially, AI algorithms focused on improved interpretation of diagnostic studies such as chest X-rays and electrocardiograms in addition to predicting patient outcomes and future disease onset. However, AI has evolved with the introduction of transformer models, allowing analysis of the diverse, multimodal data sources exi...
Source: Cell Metabolism - March 1, 2024 Category: Cytology Authors: Evan D Muse Eric J Topol Source Type: research

Transforming the cardiometabolic disease landscape: Multimodal AI-powered approaches in prevention and management
Cell Metab. 2024 Feb 20:S1550-4131(24)00048-2. doi: 10.1016/j.cmet.2024.02.002. Online ahead of print.ABSTRACTThe rise of artificial intelligence (AI) has revolutionized various scientific fields, particularly in medicine, where it has enabled the modeling of complex relationships from massive datasets. Initially, AI algorithms focused on improved interpretation of diagnostic studies such as chest X-rays and electrocardiograms in addition to predicting patient outcomes and future disease onset. However, AI has evolved with the introduction of transformer models, allowing analysis of the diverse, multimodal data sources exi...
Source: Cell Metabolism - March 1, 2024 Category: Cytology Authors: Evan D Muse Eric J Topol Source Type: research

Transforming the cardiometabolic disease landscape: Multimodal AI-powered approaches in prevention and management
Cell Metab. 2024 Feb 20:S1550-4131(24)00048-2. doi: 10.1016/j.cmet.2024.02.002. Online ahead of print.ABSTRACTThe rise of artificial intelligence (AI) has revolutionized various scientific fields, particularly in medicine, where it has enabled the modeling of complex relationships from massive datasets. Initially, AI algorithms focused on improved interpretation of diagnostic studies such as chest X-rays and electrocardiograms in addition to predicting patient outcomes and future disease onset. However, AI has evolved with the introduction of transformer models, allowing analysis of the diverse, multimodal data sources exi...
Source: Cell Metabolism - March 1, 2024 Category: Cytology Authors: Evan D Muse Eric J Topol Source Type: research

Transforming the cardiometabolic disease landscape: Multimodal AI-powered approaches in prevention and management
Cell Metab. 2024 Feb 20:S1550-4131(24)00048-2. doi: 10.1016/j.cmet.2024.02.002. Online ahead of print.ABSTRACTThe rise of artificial intelligence (AI) has revolutionized various scientific fields, particularly in medicine, where it has enabled the modeling of complex relationships from massive datasets. Initially, AI algorithms focused on improved interpretation of diagnostic studies such as chest X-rays and electrocardiograms in addition to predicting patient outcomes and future disease onset. However, AI has evolved with the introduction of transformer models, allowing analysis of the diverse, multimodal data sources exi...
Source: Cell Metabolism - March 1, 2024 Category: Cytology Authors: Evan D Muse Eric J Topol Source Type: research

Gut microbial co-metabolite 2-methylbutyrylcarnitine exacerbates thrombosis via binding to and activating integrin α2β1
Cell Metab. 2024 Feb 20:S1550-4131(24)00014-7. doi: 10.1016/j.cmet.2024.01.014. Online ahead of print.ABSTRACTThrombosis represents the leading cause of death and disability upon major adverse cardiovascular events (MACEs). Numerous pathological conditions such as COVID-19 and metabolic disorders can lead to a heightened thrombotic risk; however, the underlying mechanisms remain poorly understood. Our study illustrates that 2-methylbutyrylcarnitine (2MBC), a branched-chain acylcarnitine, is accumulated in patients with COVID-19 and in patients with MACEs. 2MBC enhances platelet hyperreactivity and thrombus formation in mic...
Source: Cell Metabolism - February 24, 2024 Category: Cytology Authors: Kan Huang Zilun Li Xi He Jun Dai Bingding Huang Yongxia Shi Dongxiao Fan Zefeng Zhang Yunchong Liu Na Li Zhongyu Zhang Jiangyun Peng Chenshu Liu Renli Zeng Zhipeng Cen Tengyao Wang Wenchao Yang Meifeng Cen Jingyu Li Shuai Yuan Lu Zhang Dandan Hu Shuxiang Source Type: research