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1. Data from Resolving the Heterogeneous Tumor-Centric Cellular Neighborhood through Multiplexed, Spatial Paracrine Interactions in the Setting of Immune Checkpoint Blockade

Author

Maus, Rachel L.G., primary, Leontovich, Alexey A., primary, Moore, Raymond M., primary, Becher, Laura, primary, Nevala, Wendy K., primary, Flotte, Thomas J., primary, Guo, Ruifeng, primary, Schimke, Jill M., primary, Dicke, Betty A., primary, Yan, Yiyi, primary, and Markovic, Svetomir N., primary

Published
2023
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2. Supplementary Table 1 from Resolving the Heterogeneous Tumor-Centric Cellular Neighborhood through Multiplexed, Spatial Paracrine Interactions in the Setting of Immune Checkpoint Blockade

Author

Maus, Rachel L.G., primary, Leontovich, Alexey A., primary, Moore, Raymond M., primary, Becher, Laura, primary, Nevala, Wendy K., primary, Flotte, Thomas J., primary, Guo, Ruifeng, primary, Schimke, Jill M., primary, Dicke, Betty A., primary, Yan, Yiyi, primary, and Markovic, Svetomir N., primary

Published
2023
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3. Supplementary Table 2 from Resolving the Heterogeneous Tumor-Centric Cellular Neighborhood through Multiplexed, Spatial Paracrine Interactions in the Setting of Immune Checkpoint Blockade

Author

Maus, Rachel L.G., primary, Leontovich, Alexey A., primary, Moore, Raymond M., primary, Becher, Laura, primary, Nevala, Wendy K., primary, Flotte, Thomas J., primary, Guo, Ruifeng, primary, Schimke, Jill M., primary, Dicke, Betty A., primary, Yan, Yiyi, primary, and Markovic, Svetomir N., primary

Published
2023
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4. Supplementary Figure 1 from Resolving the Heterogeneous Tumor-Centric Cellular Neighborhood through Multiplexed, Spatial Paracrine Interactions in the Setting of Immune Checkpoint Blockade

Author

Maus, Rachel L.G., primary, Leontovich, Alexey A., primary, Moore, Raymond M., primary, Becher, Laura, primary, Nevala, Wendy K., primary, Flotte, Thomas J., primary, Guo, Ruifeng, primary, Schimke, Jill M., primary, Dicke, Betty A., primary, Yan, Yiyi, primary, and Markovic, Svetomir N., primary

Published
2023
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5. Supplementary Figure 2 from Resolving the Heterogeneous Tumor-Centric Cellular Neighborhood through Multiplexed, Spatial Paracrine Interactions in the Setting of Immune Checkpoint Blockade

Author

Maus, Rachel L.G., primary, Leontovich, Alexey A., primary, Moore, Raymond M., primary, Becher, Laura, primary, Nevala, Wendy K., primary, Flotte, Thomas J., primary, Guo, Ruifeng, primary, Schimke, Jill M., primary, Dicke, Betty A., primary, Yan, Yiyi, primary, and Markovic, Svetomir N., primary

Published
2023
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6. Quantitative spatial evaluation of tumor-immune interactions in the immunotherapy setting of metastatic melanoma lymph nodes

Author

Maus, Rachel L. G., primary, Leontovich, Alexey A., additional, Moore, Raymond M., additional, Fogarty, Zachary, additional, Guo, Ruifeng, additional, Davidson, Tara M., additional, Tekin, Burak, additional, Atherton, Chathu, additional, Schimke, Jill M., additional, Dicke, Betty A., additional, Chen, Benjamin J., additional, and Markovic, Svetomir N., additional

Published
2022
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8. Resolving the Heterogeneous Tumor-Centric Cellular Neighborhood through Multiplexed, Spatial Paracrine Interactions in the Setting of Immune Checkpoint Blockade

Author

Maus, Rachel L.G., primary, Leontovich, Alexey A., additional, Moore, Raymond M., additional, Becher, Laura, additional, Nevala, Wendy K., additional, Flotte, Thomas J., additional, Guo, Ruifeng, additional, Schimke, Jill M., additional, Dicke, Betty A., additional, Yan, Yiyi, additional, and Markovic, Svetomir N., additional

Published
2022
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9. Distinct single cell gene expression in peripheral blood monocytes correlates with treatment response groups defined by type I interferon in rheumatoid arthritis

Author

Wampler Muskardin, Theresa, Fan, Wei, Jin, Zhongbo, Jensen, Mark, Dorschner, Jessica M, Ghodke, Yogita, Dicke, Betty, Vsetecka, Danielle, Wright, Kerry, Mason, Thomas, Persellin, Scott, Michet, Clement, Davis III, John M, Matteson, Eric, and Niewold, Timothy B

Abstract

Previously, we demonstrated that type I IFN (IFNβ/α) activity can predict non-response to tumor necrosis factor inhibitors (TNFi) in rheumatoid arthritis (RA). In this study, we examine the biology of TNFi non-response in monocytes from RA patients. We compared single cell gene expression in purified classical (CL, n=342) and non-classical (NC, n=359) monocytes. RA patients were grouped according to their pre-TNFi IFNβ/α activity: those likely to have EULAR no response (non-response group, IFNβ/α 0 or >1.3, n=9) and those likely to have EULAR moderate or good response (response group, IFNβ/α > 0 and ≤1.3, n=6). Major differences in gene expression were apparent in principal component and unsupervised cluster analyses. CL monocytes from the non-response group were unlikely to express JAK1 and IFI27 (p

Published
2019
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10. Distinct Single Cell Gene Expression in Peripheral Blood Monocytes Correlates With Tumor Necrosis Factor Inhibitor Treatment Response Groups Defined by Type I Interferon in Rheumatoid Arthritis

Author

Wampler Muskardin, Theresa L., primary, Fan, Wei, additional, Jin, Zhongbo, additional, Jensen, Mark A., additional, Dorschner, Jessica M., additional, Ghodke-Puranik, Yogita, additional, Dicke, Betty, additional, Vsetecka, Danielle, additional, Wright, Kerry, additional, Mason, Thomas, additional, Persellin, Scott, additional, Michet, Clement J., additional, Davis, John M., additional, Matteson, Eric, additional, and Niewold, Timothy B., additional

Published
2020
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12. Distinct single cell gene expression in peripheral blood monocytes correlates with tumor necrosis factor inhibitor treatment response groups defined by type I interferon in rheumatoid arthritis

Author

Muskardin, Theresa L. Wampler, primary, Fan, Wei, additional, Jin, Zhongbo, additional, Jensen, Mark A., additional, Dorschner, Jessica M., additional, Ghodke-Puranik, Yogita, additional, Dicke, Betty, additional, Vsetecka, Danielle, additional, Wright, Kerry, additional, Mason, Thomas, additional, Persellin, Scott, additional, Michet, Clement J., additional, Davis, John M., additional, Matteson, Eric, additional, and Niewold, Timothy B., additional

Published
2019
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15. Plasma C5 glucose-to-²[H.sub.2]O ratio does not provide an accurate assessment of gluconeogenesis during hyperinsulinemic-euglycemic clamps in either nondiabetic or diabetic humans

Author

Basu, Rita, Chandramouli, Visvanathan, Dicke, Betty, Landau, Bernard R., and Rizza, Robert A.

Subjects
Gluconeogenesis -- Research -- Physiological aspects, Glucose metabolism -- Research -- Physiological aspects, Health, Physiological aspects, Research
Abstract

OBJECTIVE--Measurement of plasma C2 glucose enrichment is cumbersome. Therefore, the plasma C5 glucose-to-²[H.sub.2]O rather than the plasma C5-to-C2 glucose ratio commonly has been used to measure gluconeogenesis and glycogenolysis during hyperinsulinemic-euglycemic clamps. The validity of this approach is unknown. RESEARCH DESIGN AND METHODS--Ten nondiabetic and 10 diabetic subjects ingested ²[H.sub.2]O the evening before study. The following morning, insulin was infused at a rate of 0.6 mU x [kg.sup.-1] x [min.sup.-1] and glucose was clamped at ~5.3 mmol/1 for 5 h. Plasma C5 glucose, C2 glucose, and ²[H.sub.2]O enrichments were measured hourly from 2 h onward. RESULTS--Plasma C2 glucose and plasma ²[H.sub.2]O enrichment were equal in both groups before the clamp, resulting in equivalent estimates of gluconeogenesis and glycogenolysis. In contrast, plasma C2 glucose and plasma C5 glucose enrichments fell throughout the clamp, whereas plasma ²[H.sub.2]O enrichment remained unchanged. Since the C5 glucose concentration and, hence, the C5 glucose-to²[H.sub.2]O ratio is influenced by both gluconeogenesis and glucose clearance, whereas the C5-to-C2 glucose ratio is only influenced by gluconeogenesis, the C5 glucose-to-2H20 ratio overestimated (P < 0.01) gluconeogenesis during the clamp. This resulted in biologically implausible negative (i.e., calculated rates of gluconeogenesis exceeding total endogenous glucose production) rates of glycogenolysis in both the nondiabetic and diabetic subjects. CONCLUSIONS--Plasma C5 glucose-to-²[H.sub.2]O ratio does not provide an accurate assessment of gluconeogenesis in nondiabetic or diabetic subjects during a traditional (i.e., 2-3 h) hyperinsulinemic-euglycemic clamp. The conclusions of studies that have used this approach need to be reevaluated., Measurement of gluconeogenesis in humans is difficult. The deuterated water method is widely used for this purpose (1-17). This method relies on the fact that the fifth carbon of glucose [...]

Published
2008

18. Plasma C5 Glucose-to-&sup2;H2O Ratio Does Not Provide an Accurate Assessment of Gluconeogenesis During Hyperinsulinemic-Euglycemic Clamps in Either Nondiabetic or Diabetic Humans.

Author

Basu, Rita, Chandramouli, Visvanathan, Dicke, Betty, Landau, Bernard R., and Rizza, Robert A.

Subjects
GLUCOSE, BLOOD plasma, GLUCONEOGENESIS, INSULIN shock, PEOPLE with diabetes
Abstract

OBJECTIVE--Measurement of plasma C2 glucose enrichment is cumbersome. Therefore, the plasma C5 glucose-to-²H2O rather than the plasma C5-to-C2 glucose ratio commonly has been used to measure gluconeogenesis and glycogenolysis during hyperinsulinemic-euglycemic clamps. The validity of this approach is unknown. RESEARCH DESIGN AND METHODS--Ten nondiabetic and 10 diabetic subjects ingested ²H2O the evening before study. The following morning, insulin was infused at a rate of 0.6 mU ⋅ kg-1 ⋅ min-1 and glucose was clamped at ∼5.3 mmol/l for 5 h. Plasma C5 glucose, C2 glucose, and ²H2O enrichments were measured hourly from 2 h onward. RESULTS--Plasma C2 glucose and plasma ²H2O enrichment were equal in both groups before the clamp, resulting in equivalent estimates of gluconeogenesis and glycogenolysis. In contrast, plasma C2 glucose and plasma C5 glucose enrichments fell throughout the clamp, whereas plasma ²H2O enrichment remained unchanged. Since the C5 glucose concentration and, hence, the C5 glucose-to-²H2O ratio is influenced by both gluconeogenesis and glucose clearance, whereas the C5-to-C2 glucose ratio is only influenced by gluconeogenesis, the C5 glucose-to-²H2O ratio overestimated (P < 0.01) gluconeogenesis during the clamp. This resulted in biologically implausible negative (i.e., calculated rates of gluconeogenesis exceeding total endogenous glucose production) rates of glycogenolysis in both the nondiabetic and diabetic subjects. CONCLUSIONS--Plasma C5 glucose-to-²H2O ratio does not provide an accurate assessment of gluconeogenesis in nondiabetic or diabetic subjects during a traditional (i.e., 2-3 h) hyperinsulinemic-euglycemic clamp. The conclusions of studies that have used this approach need to be reevaluated. Diabetes 57:1800-1804, 2008 [ABSTRACT FROM AUTHOR]

Published
2008
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