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Galectin Therapeutics ido1
Ido1, supplied by Galectin Therapeutics, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Metabolic alterations in SPP1 + KYNU + macrophages remodel the immunosuppressive microenvironment in MPNST. (A) Representative image of mIHC results displaying the expression differences of SPP1 + KYNU + /SPP1 + <t>IDO1</t> + macrophages (SPP1 + KYNU + CD163 + /SPP1 + IDO1 + CD163 + ) in PNF and MPNST tissues, captured at 40× (scale bars: 100 µm) and 120× magnification (scale bars: 50 µm), with quantification of SPP1 + KYNU + and SPP1 + IDO1 + cells per HP ( n = 3); (B) Live‐cell microscopy of Schwann cell (ipNF05.5) dynamics co‐cultured with macrophages over 48 h, with quantitative analysis of migration speed using Livecyte kinetic cytometer. (C) Alterations in cytokine secretion levels by macrophages under NC‐OE, SPP1‐OE, and SPP1‐OE with IDO1 inhibitor treatment, with quantitative analysis ( n = 3). (D) Chord diagram showing key receptor–ligand interactions between different SPP1 + macrophage subpopulations and T cells. (E) Dot plot showing the differences in T cell expression of regulatory T cell (Treg) and exhausted T cell (Tex) markers between PNF and MPNST. (F) Representative image of mIHC results displaying the expression differences of PD‐1 + T cells (PD‐1 + CD8A + ) between benign and malignant neurofibromas, along with the spatial distribution of macrophages (CD68 + ). Quantitative data are presented as mean ± SD, with significance levels indicated as (* p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001).
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Metabolic alterations in SPP1 + KYNU + macrophages remodel the immunosuppressive microenvironment in MPNST. (A) Representative image of mIHC results displaying the expression differences of SPP1 + KYNU + /SPP1 + <t>IDO1</t> + macrophages (SPP1 + KYNU + CD163 + /SPP1 + IDO1 + CD163 + ) in PNF and MPNST tissues, captured at 40× (scale bars: 100 µm) and 120× magnification (scale bars: 50 µm), with quantification of SPP1 + KYNU + and SPP1 + IDO1 + cells per HP ( n = 3); (B) Live‐cell microscopy of Schwann cell (ipNF05.5) dynamics co‐cultured with macrophages over 48 h, with quantitative analysis of migration speed using Livecyte kinetic cytometer. (C) Alterations in cytokine secretion levels by macrophages under NC‐OE, SPP1‐OE, and SPP1‐OE with IDO1 inhibitor treatment, with quantitative analysis ( n = 3). (D) Chord diagram showing key receptor–ligand interactions between different SPP1 + macrophage subpopulations and T cells. (E) Dot plot showing the differences in T cell expression of regulatory T cell (Treg) and exhausted T cell (Tex) markers between PNF and MPNST. (F) Representative image of mIHC results displaying the expression differences of PD‐1 + T cells (PD‐1 + CD8A + ) between benign and malignant neurofibromas, along with the spatial distribution of macrophages (CD68 + ). Quantitative data are presented as mean ± SD, with significance levels indicated as (* p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001).
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Metabolic alterations in SPP1 + KYNU + macrophages remodel the immunosuppressive microenvironment in MPNST. (A) Representative image of mIHC results displaying the expression differences of SPP1 + KYNU + /SPP1 + <t>IDO1</t> + macrophages (SPP1 + KYNU + CD163 + /SPP1 + IDO1 + CD163 + ) in PNF and MPNST tissues, captured at 40× (scale bars: 100 µm) and 120× magnification (scale bars: 50 µm), with quantification of SPP1 + KYNU + and SPP1 + IDO1 + cells per HP ( n = 3); (B) Live‐cell microscopy of Schwann cell (ipNF05.5) dynamics co‐cultured with macrophages over 48 h, with quantitative analysis of migration speed using Livecyte kinetic cytometer. (C) Alterations in cytokine secretion levels by macrophages under NC‐OE, SPP1‐OE, and SPP1‐OE with IDO1 inhibitor treatment, with quantitative analysis ( n = 3). (D) Chord diagram showing key receptor–ligand interactions between different SPP1 + macrophage subpopulations and T cells. (E) Dot plot showing the differences in T cell expression of regulatory T cell (Treg) and exhausted T cell (Tex) markers between PNF and MPNST. (F) Representative image of mIHC results displaying the expression differences of PD‐1 + T cells (PD‐1 + CD8A + ) between benign and malignant neurofibromas, along with the spatial distribution of macrophages (CD68 + ). Quantitative data are presented as mean ± SD, with significance levels indicated as (* p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001).
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Galectin Therapeutics ido1
Metabolic alterations in SPP1 + KYNU + macrophages remodel the immunosuppressive microenvironment in MPNST. (A) Representative image of mIHC results displaying the expression differences of SPP1 + KYNU + /SPP1 + <t>IDO1</t> + macrophages (SPP1 + KYNU + CD163 + /SPP1 + IDO1 + CD163 + ) in PNF and MPNST tissues, captured at 40× (scale bars: 100 µm) and 120× magnification (scale bars: 50 µm), with quantification of SPP1 + KYNU + and SPP1 + IDO1 + cells per HP ( n = 3); (B) Live‐cell microscopy of Schwann cell (ipNF05.5) dynamics co‐cultured with macrophages over 48 h, with quantitative analysis of migration speed using Livecyte kinetic cytometer. (C) Alterations in cytokine secretion levels by macrophages under NC‐OE, SPP1‐OE, and SPP1‐OE with IDO1 inhibitor treatment, with quantitative analysis ( n = 3). (D) Chord diagram showing key receptor–ligand interactions between different SPP1 + macrophage subpopulations and T cells. (E) Dot plot showing the differences in T cell expression of regulatory T cell (Treg) and exhausted T cell (Tex) markers between PNF and MPNST. (F) Representative image of mIHC results displaying the expression differences of PD‐1 + T cells (PD‐1 + CD8A + ) between benign and malignant neurofibromas, along with the spatial distribution of macrophages (CD68 + ). Quantitative data are presented as mean ± SD, with significance levels indicated as (* p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001).
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Metabolic alterations in SPP1 + KYNU + macrophages remodel the immunosuppressive microenvironment in MPNST. (A) Representative image of mIHC results displaying the expression differences of SPP1 + KYNU + /SPP1 + <t>IDO1</t> + macrophages (SPP1 + KYNU + CD163 + /SPP1 + IDO1 + CD163 + ) in PNF and MPNST tissues, captured at 40× (scale bars: 100 µm) and 120× magnification (scale bars: 50 µm), with quantification of SPP1 + KYNU + and SPP1 + IDO1 + cells per HP ( n = 3); (B) Live‐cell microscopy of Schwann cell (ipNF05.5) dynamics co‐cultured with macrophages over 48 h, with quantitative analysis of migration speed using Livecyte kinetic cytometer. (C) Alterations in cytokine secretion levels by macrophages under NC‐OE, SPP1‐OE, and SPP1‐OE with IDO1 inhibitor treatment, with quantitative analysis ( n = 3). (D) Chord diagram showing key receptor–ligand interactions between different SPP1 + macrophage subpopulations and T cells. (E) Dot plot showing the differences in T cell expression of regulatory T cell (Treg) and exhausted T cell (Tex) markers between PNF and MPNST. (F) Representative image of mIHC results displaying the expression differences of PD‐1 + T cells (PD‐1 + CD8A + ) between benign and malignant neurofibromas, along with the spatial distribution of macrophages (CD68 + ). Quantitative data are presented as mean ± SD, with significance levels indicated as (* p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001).
Gene Exp Ido1 Hs00984148 M1, supplied by Thermo Fisher, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Metabolic alterations in SPP1 + KYNU + macrophages remodel the immunosuppressive microenvironment in MPNST. (A) Representative image of mIHC results displaying the expression differences of SPP1 + KYNU + /SPP1 + <t>IDO1</t> + macrophages (SPP1 + KYNU + CD163 + /SPP1 + IDO1 + CD163 + ) in PNF and MPNST tissues, captured at 40× (scale bars: 100 µm) and 120× magnification (scale bars: 50 µm), with quantification of SPP1 + KYNU + and SPP1 + IDO1 + cells per HP ( n = 3); (B) Live‐cell microscopy of Schwann cell (ipNF05.5) dynamics co‐cultured with macrophages over 48 h, with quantitative analysis of migration speed using Livecyte kinetic cytometer. (C) Alterations in cytokine secretion levels by macrophages under NC‐OE, SPP1‐OE, and SPP1‐OE with IDO1 inhibitor treatment, with quantitative analysis ( n = 3). (D) Chord diagram showing key receptor–ligand interactions between different SPP1 + macrophage subpopulations and T cells. (E) Dot plot showing the differences in T cell expression of regulatory T cell (Treg) and exhausted T cell (Tex) markers between PNF and MPNST. (F) Representative image of mIHC results displaying the expression differences of PD‐1 + T cells (PD‐1 + CD8A + ) between benign and malignant neurofibromas, along with the spatial distribution of macrophages (CD68 + ). Quantitative data are presented as mean ± SD, with significance levels indicated as (* p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001).
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TAC Specifically Inhibits <t>IDO1</t> Expression to Induce Kidney Injury (A) Relative abundances of Trp metabolites in mouse plasma (n = 5). (B) Relative abundances of Trp metabolites in the renal cortex (n = 5). (C) Quantification of Trp, KYN, the KYN/Trp ratio, and NAD + levels in renal tissues (n = 5). (D) Western blot analysis of IDO1 protein expression in the renal cortex, with β-tubulin as a loading control. (E) Densitometric quantification of IDO1 protein bands (n = 3). (F) qPCR analysis of IDO1 mRNA expression in the renal cortex (n = 3). (G) Molecular docking model of TAC binding to IDO1. (H) Schematic illustration showing that IDO1 inhibition disrupts the Trp–KYN pathway, affecting downstream metabolites including 3-HK, KYNA, 3-HAA, and QA. Data are presented as mean ± SD. Statistical analyses were performed using one-way ANOVA followed by Tukey’s multiple comparisons test. *P < 0.05, **P < 0.01, ***P < 0.001. Abbreviations: TRP, tryptophan; KYN, kynurenine; KYNA, kynurenic acid; QA, quinolinic acid; XA, xanthurenic acid; PIC, picolinic acid; 3-HK, 3-hydroxykynurenine; 3-HAA, 3-hydroxyanthranilic acid; IPYA, indole-3-pyruvic acid; IPA, indole-3-propionic acid; ILA, indolelactic acid; IALD, indoleacetaldehyde; IAA, indoleacetic acid; NAD + , nicotinamide adenine dinucleotide.
Ido1, supplied by Proteintech, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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TAC Specifically Inhibits <t>IDO1</t> Expression to Induce Kidney Injury (A) Relative abundances of Trp metabolites in mouse plasma (n = 5). (B) Relative abundances of Trp metabolites in the renal cortex (n = 5). (C) Quantification of Trp, KYN, the KYN/Trp ratio, and NAD + levels in renal tissues (n = 5). (D) Western blot analysis of IDO1 protein expression in the renal cortex, with β-tubulin as a loading control. (E) Densitometric quantification of IDO1 protein bands (n = 3). (F) qPCR analysis of IDO1 mRNA expression in the renal cortex (n = 3). (G) Molecular docking model of TAC binding to IDO1. (H) Schematic illustration showing that IDO1 inhibition disrupts the Trp–KYN pathway, affecting downstream metabolites including 3-HK, KYNA, 3-HAA, and QA. Data are presented as mean ± SD. Statistical analyses were performed using one-way ANOVA followed by Tukey’s multiple comparisons test. *P < 0.05, **P < 0.01, ***P < 0.001. Abbreviations: TRP, tryptophan; KYN, kynurenine; KYNA, kynurenic acid; QA, quinolinic acid; XA, xanthurenic acid; PIC, picolinic acid; 3-HK, 3-hydroxykynurenine; 3-HAA, 3-hydroxyanthranilic acid; IPYA, indole-3-pyruvic acid; IPA, indole-3-propionic acid; ILA, indolelactic acid; IALD, indoleacetaldehyde; IAA, indoleacetic acid; NAD + , nicotinamide adenine dinucleotide.
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Image Search Results


Metabolic alterations in SPP1 + KYNU + macrophages remodel the immunosuppressive microenvironment in MPNST. (A) Representative image of mIHC results displaying the expression differences of SPP1 + KYNU + /SPP1 + IDO1 + macrophages (SPP1 + KYNU + CD163 + /SPP1 + IDO1 + CD163 + ) in PNF and MPNST tissues, captured at 40× (scale bars: 100 µm) and 120× magnification (scale bars: 50 µm), with quantification of SPP1 + KYNU + and SPP1 + IDO1 + cells per HP ( n = 3); (B) Live‐cell microscopy of Schwann cell (ipNF05.5) dynamics co‐cultured with macrophages over 48 h, with quantitative analysis of migration speed using Livecyte kinetic cytometer. (C) Alterations in cytokine secretion levels by macrophages under NC‐OE, SPP1‐OE, and SPP1‐OE with IDO1 inhibitor treatment, with quantitative analysis ( n = 3). (D) Chord diagram showing key receptor–ligand interactions between different SPP1 + macrophage subpopulations and T cells. (E) Dot plot showing the differences in T cell expression of regulatory T cell (Treg) and exhausted T cell (Tex) markers between PNF and MPNST. (F) Representative image of mIHC results displaying the expression differences of PD‐1 + T cells (PD‐1 + CD8A + ) between benign and malignant neurofibromas, along with the spatial distribution of macrophages (CD68 + ). Quantitative data are presented as mean ± SD, with significance levels indicated as (* p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001).

Journal: MedComm

Article Title: Metabolic Alterations in Macrophage Subtypes Propel Immune and Stromal Remodeling in Neurofibroma's Malignant Progression

doi: 10.1002/mco2.70709

Figure Lengend Snippet: Metabolic alterations in SPP1 + KYNU + macrophages remodel the immunosuppressive microenvironment in MPNST. (A) Representative image of mIHC results displaying the expression differences of SPP1 + KYNU + /SPP1 + IDO1 + macrophages (SPP1 + KYNU + CD163 + /SPP1 + IDO1 + CD163 + ) in PNF and MPNST tissues, captured at 40× (scale bars: 100 µm) and 120× magnification (scale bars: 50 µm), with quantification of SPP1 + KYNU + and SPP1 + IDO1 + cells per HP ( n = 3); (B) Live‐cell microscopy of Schwann cell (ipNF05.5) dynamics co‐cultured with macrophages over 48 h, with quantitative analysis of migration speed using Livecyte kinetic cytometer. (C) Alterations in cytokine secretion levels by macrophages under NC‐OE, SPP1‐OE, and SPP1‐OE with IDO1 inhibitor treatment, with quantitative analysis ( n = 3). (D) Chord diagram showing key receptor–ligand interactions between different SPP1 + macrophage subpopulations and T cells. (E) Dot plot showing the differences in T cell expression of regulatory T cell (Treg) and exhausted T cell (Tex) markers between PNF and MPNST. (F) Representative image of mIHC results displaying the expression differences of PD‐1 + T cells (PD‐1 + CD8A + ) between benign and malignant neurofibromas, along with the spatial distribution of macrophages (CD68 + ). Quantitative data are presented as mean ± SD, with significance levels indicated as (* p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001).

Article Snippet: Linrodostat (BMS‐986205, ONO‐7701), acquired from MedChemExpress, was used as the IDO1 inhibitor at a concentration of 1 μM in our study.

Techniques: Expressing, Microscopy, Cell Culture, Migration, Cytometry

TAC Specifically Inhibits IDO1 Expression to Induce Kidney Injury (A) Relative abundances of Trp metabolites in mouse plasma (n = 5). (B) Relative abundances of Trp metabolites in the renal cortex (n = 5). (C) Quantification of Trp, KYN, the KYN/Trp ratio, and NAD + levels in renal tissues (n = 5). (D) Western blot analysis of IDO1 protein expression in the renal cortex, with β-tubulin as a loading control. (E) Densitometric quantification of IDO1 protein bands (n = 3). (F) qPCR analysis of IDO1 mRNA expression in the renal cortex (n = 3). (G) Molecular docking model of TAC binding to IDO1. (H) Schematic illustration showing that IDO1 inhibition disrupts the Trp–KYN pathway, affecting downstream metabolites including 3-HK, KYNA, 3-HAA, and QA. Data are presented as mean ± SD. Statistical analyses were performed using one-way ANOVA followed by Tukey’s multiple comparisons test. *P < 0.05, **P < 0.01, ***P < 0.001. Abbreviations: TRP, tryptophan; KYN, kynurenine; KYNA, kynurenic acid; QA, quinolinic acid; XA, xanthurenic acid; PIC, picolinic acid; 3-HK, 3-hydroxykynurenine; 3-HAA, 3-hydroxyanthranilic acid; IPYA, indole-3-pyruvic acid; IPA, indole-3-propionic acid; ILA, indolelactic acid; IALD, indoleacetaldehyde; IAA, indoleacetic acid; NAD + , nicotinamide adenine dinucleotide.

Journal: Frontiers in Pharmacology

Article Title: Indoleamine 2,3-dioxygenase-regulated macrophages metabolic reprogramming rescues tacrolimus-induced nephrotoxicity

doi: 10.3389/fphar.2026.1784153

Figure Lengend Snippet: TAC Specifically Inhibits IDO1 Expression to Induce Kidney Injury (A) Relative abundances of Trp metabolites in mouse plasma (n = 5). (B) Relative abundances of Trp metabolites in the renal cortex (n = 5). (C) Quantification of Trp, KYN, the KYN/Trp ratio, and NAD + levels in renal tissues (n = 5). (D) Western blot analysis of IDO1 protein expression in the renal cortex, with β-tubulin as a loading control. (E) Densitometric quantification of IDO1 protein bands (n = 3). (F) qPCR analysis of IDO1 mRNA expression in the renal cortex (n = 3). (G) Molecular docking model of TAC binding to IDO1. (H) Schematic illustration showing that IDO1 inhibition disrupts the Trp–KYN pathway, affecting downstream metabolites including 3-HK, KYNA, 3-HAA, and QA. Data are presented as mean ± SD. Statistical analyses were performed using one-way ANOVA followed by Tukey’s multiple comparisons test. *P < 0.05, **P < 0.01, ***P < 0.001. Abbreviations: TRP, tryptophan; KYN, kynurenine; KYNA, kynurenic acid; QA, quinolinic acid; XA, xanthurenic acid; PIC, picolinic acid; 3-HK, 3-hydroxykynurenine; 3-HAA, 3-hydroxyanthranilic acid; IPYA, indole-3-pyruvic acid; IPA, indole-3-propionic acid; ILA, indolelactic acid; IALD, indoleacetaldehyde; IAA, indoleacetic acid; NAD + , nicotinamide adenine dinucleotide.

Article Snippet: Primary antibodies used in this study included: IDO1 (Proteintech, Cat# 13268-1-AP, 1:1000), CPT1 (ABclonal, Cat# A5307, 1:2000), CPT2 (Proteintech, Cat# 26555-1-AP, 1:8000), CACT (ABclonal, Cat# A13956, 1:400), β-tubulin (Proteintech, Cat# 80713-1-RR, 1:10,000), HRP-conjugated Goat Anti-Rabbit IgG (H + L) (ABclonal, Cat# SA00001-2, 1:10,000).

Techniques: Expressing, Clinical Proteomics, Western Blot, Control, Binding Assay, Inhibition

Indicators of renal function and energy metabolism upon IDO1 inhibition. (A) Biochemical indicators of kidney injury in mice, including urinary protein, serum creatinine, blood urea nitrogen, uric acid, and hemoglobin (n = 8). (B) Representative H&E staining of kidney sections and corresponding tubular injury scores (n = 5). Arrows highlight tubular injury features. Scale bar = 50 μm. (C,D) Targeted analysis of TCA cycle metabolites (C) and glycolytic metabolites (D) in HEK293T cells. (E,F) Targeted analysis of TCA cycle metabolites (E) and glycolytic metabolites (F) in iBMDMs. (G) Targeted measurement of fatty acid–related metabolites in iBMDMs. (H) OCR trace of iBMDMs measured using glucose as the substrate during a Seahorse mitochondrial stress test (n = 6). (I) OCR trace of iBMDMs measured using palmitic acid as the substrate during a Seahorse mitochondrial stress test (n = 6). (J) Quantification of basal and maximal OCR in iBMDMs using glucose or palmitic acid as substrates. (K) ECAR trace of iBMDMs during glycolysis stress testing (n = 6). (L) Quantification of basal and maximal ECAR in iBMDMs. Data are presented as mean ± SD. Statistical analyses were performed using one-way ANOVA followed by Tukey’s multiple comparisons test. *P < 0.05, **P < 0.01, ***P < 0.001.

Journal: Frontiers in Pharmacology

Article Title: Indoleamine 2,3-dioxygenase-regulated macrophages metabolic reprogramming rescues tacrolimus-induced nephrotoxicity

doi: 10.3389/fphar.2026.1784153

Figure Lengend Snippet: Indicators of renal function and energy metabolism upon IDO1 inhibition. (A) Biochemical indicators of kidney injury in mice, including urinary protein, serum creatinine, blood urea nitrogen, uric acid, and hemoglobin (n = 8). (B) Representative H&E staining of kidney sections and corresponding tubular injury scores (n = 5). Arrows highlight tubular injury features. Scale bar = 50 μm. (C,D) Targeted analysis of TCA cycle metabolites (C) and glycolytic metabolites (D) in HEK293T cells. (E,F) Targeted analysis of TCA cycle metabolites (E) and glycolytic metabolites (F) in iBMDMs. (G) Targeted measurement of fatty acid–related metabolites in iBMDMs. (H) OCR trace of iBMDMs measured using glucose as the substrate during a Seahorse mitochondrial stress test (n = 6). (I) OCR trace of iBMDMs measured using palmitic acid as the substrate during a Seahorse mitochondrial stress test (n = 6). (J) Quantification of basal and maximal OCR in iBMDMs using glucose or palmitic acid as substrates. (K) ECAR trace of iBMDMs during glycolysis stress testing (n = 6). (L) Quantification of basal and maximal ECAR in iBMDMs. Data are presented as mean ± SD. Statistical analyses were performed using one-way ANOVA followed by Tukey’s multiple comparisons test. *P < 0.05, **P < 0.01, ***P < 0.001.

Article Snippet: Primary antibodies used in this study included: IDO1 (Proteintech, Cat# 13268-1-AP, 1:1000), CPT1 (ABclonal, Cat# A5307, 1:2000), CPT2 (Proteintech, Cat# 26555-1-AP, 1:8000), CACT (ABclonal, Cat# A13956, 1:400), β-tubulin (Proteintech, Cat# 80713-1-RR, 1:10,000), HRP-conjugated Goat Anti-Rabbit IgG (H + L) (ABclonal, Cat# SA00001-2, 1:10,000).

Techniques: Inhibition, Staining

Indicators of macrophage polarization and proinflammatory cytokine expression. (A) Double immunofluorescence staining of CD68 (red) and ARG1 (green) in the renal cortex. (B) Double immunofluorescence staining of CD68 (red) and CD86 (green) in the renal cortex. (C) Quantification of CD86 + /CD68 + (left) and ARG1 + /CD68 + (right) double-positive cells (n = 3). (D) mRNA expression levels of M1-and M2-associated genes (CXCL9, IL-1β, IL-6, iNOS, TNF-α, ARG1, IL-10) in the renal cortex (n = 3). (E) mRNA expression levels of M1-and M2-associated genes in iBMDMs (n = 3). (F) mRNA expression levels of IDO1, ARG1, and iNOS in primary renal macrophages under indicated treatments (n = 3). Data are presented as mean ± SD. Statistical analyses were performed using one-way ANOVA followed by Tukey’s multiple comparisons test. *P < 0.05, **P < 0.01, ***P < 0.001.

Journal: Frontiers in Pharmacology

Article Title: Indoleamine 2,3-dioxygenase-regulated macrophages metabolic reprogramming rescues tacrolimus-induced nephrotoxicity

doi: 10.3389/fphar.2026.1784153

Figure Lengend Snippet: Indicators of macrophage polarization and proinflammatory cytokine expression. (A) Double immunofluorescence staining of CD68 (red) and ARG1 (green) in the renal cortex. (B) Double immunofluorescence staining of CD68 (red) and CD86 (green) in the renal cortex. (C) Quantification of CD86 + /CD68 + (left) and ARG1 + /CD68 + (right) double-positive cells (n = 3). (D) mRNA expression levels of M1-and M2-associated genes (CXCL9, IL-1β, IL-6, iNOS, TNF-α, ARG1, IL-10) in the renal cortex (n = 3). (E) mRNA expression levels of M1-and M2-associated genes in iBMDMs (n = 3). (F) mRNA expression levels of IDO1, ARG1, and iNOS in primary renal macrophages under indicated treatments (n = 3). Data are presented as mean ± SD. Statistical analyses were performed using one-way ANOVA followed by Tukey’s multiple comparisons test. *P < 0.05, **P < 0.01, ***P < 0.001.

Article Snippet: Primary antibodies used in this study included: IDO1 (Proteintech, Cat# 13268-1-AP, 1:1000), CPT1 (ABclonal, Cat# A5307, 1:2000), CPT2 (Proteintech, Cat# 26555-1-AP, 1:8000), CACT (ABclonal, Cat# A13956, 1:400), β-tubulin (Proteintech, Cat# 80713-1-RR, 1:10,000), HRP-conjugated Goat Anti-Rabbit IgG (H + L) (ABclonal, Cat# SA00001-2, 1:10,000).

Techniques: Expressing, Double Immunofluorescence Staining