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For: Vlacil AK, Schuett J, Schieffer B, Grote K. Variety matters: Diverse functions of monocyte subtypes in vascular inflammation and atherogenesis. Vascul Pharmacol 2018;113:9-19. [PMID: 30553027 DOI: 10.1016/j.vph.2018.12.002] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2018] [Revised: 12/06/2018] [Accepted: 12/07/2018] [Indexed: 12/24/2022]

For:	Vlacil AK, Schuett J, Schieffer B, Grote K. Variety matters: Diverse functions of monocyte subtypes in vascular inflammation and atherogenesis. Vascul Pharmacol 2018;113:9-19. [PMID: 30553027 DOI: 10.1016/j.vph.2018.12.002] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2018] [Revised: 12/06/2018] [Accepted: 12/07/2018] [Indexed: 12/24/2022]

Number

Cited by Other Article(s)

Julla JB, Girard D, Diedisheim M, Saulnier PJ, Tran Vuong B, Blériot C, Carcarino E, De Keizer J, Orliaguet L, Nemazanyy I, Potier C, Khider K, Tonui DC, Ejlalmanesh T, Ballaire R, Mambu Mambueni H, Germain S, Gaborit B, Vidal-Trécan T, Riveline JP, Garchon HJ, Fenaille F, Lemoine S, Carlier A, Castelli F, Potier L, Masson D, Roussel R, Vandiedonck C, Hadjadj S, Alzaid F, Gautier JF, Venteclef N. Blood Monocyte Phenotype Is A Marker of Cardiovascular Risk in Type 2 Diabetes. Circ Res 2024;134:189-202. [PMID: 38152893 DOI: 10.1161/circresaha.123.322757] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Accepted: 12/13/2023] [Indexed: 12/29/2023]

Affiliation(s)

Jean-Baptiste Julla INSERM, Necker Enfants Malades (INEM), INSERM U1151, CNRS UMR 8253, IMMEDIAB Laboratory (J.-B.J., D.G., M.D., B.T.V., C.B., E.C., L.O., I.N., C.P., K.K., D.C.T., T.E., R.B., J.-P.R., L.P., R.R., C.V., F.A., J.-F.G., N.V.), Université Paris Cité, France Cordeliers Research Centre, INSERM, IMMEDIAB Laboratory, Sorbonne Université (J.-B.J., D.G., M.D., B.T.V., C.B., E.C., L.O., C.P., K.K., D.C.T., T.E., R.B., J.-P.R., L.P., R.R., C.V., F.A., J.-F.G., N.V.), Université Paris Cité, France Diabetes Institute (J.-B.J., D.G., M.D., B.T.V., C.B., E.C., L.O., C.P., K.K., D.C.T., T.E., R.B., T.V.-T., J.-P.R., L.P., R.R., C.V., F.A., J.-F.G., N.V.), Université Paris Cité, France Diabetology, Endocrinology and Nutrition Department, Lariboisière Hospital, Fédération de Diabétologie, France (J.-B.J., T.V.-T., J.-P.R., J.-F.G.)
Diane Girard INSERM, Necker Enfants Malades (INEM), INSERM U1151, CNRS UMR 8253, IMMEDIAB Laboratory (J.-B.J., D.G., M.D., B.T.V., C.B., E.C., L.O., I.N., C.P., K.K., D.C.T., T.E., R.B., J.-P.R., L.P., R.R., C.V., F.A., J.-F.G., N.V.), Université Paris Cité, France Cordeliers Research Centre, INSERM, IMMEDIAB Laboratory, Sorbonne Université (J.-B.J., D.G., M.D., B.T.V., C.B., E.C., L.O., C.P., K.K., D.C.T., T.E., R.B., J.-P.R., L.P., R.R., C.V., F.A., J.-F.G., N.V.), Université Paris Cité, France Diabetes Institute (J.-B.J., D.G., M.D., B.T.V., C.B., E.C., L.O., C.P., K.K., D.C.T., T.E., R.B., T.V.-T., J.-P.R., L.P., R.R., C.V., F.A., J.-F.G., N.V.), Université Paris Cité, France
Marc Diedisheim INSERM, Necker Enfants Malades (INEM), INSERM U1151, CNRS UMR 8253, IMMEDIAB Laboratory (J.-B.J., D.G., M.D., B.T.V., C.B., E.C., L.O., I.N., C.P., K.K., D.C.T., T.E., R.B., J.-P.R., L.P., R.R., C.V., F.A., J.-F.G., N.V.), Université Paris Cité, France Cordeliers Research Centre, INSERM, IMMEDIAB Laboratory, Sorbonne Université (J.-B.J., D.G., M.D., B.T.V., C.B., E.C., L.O., C.P., K.K., D.C.T., T.E., R.B., J.-P.R., L.P., R.R., C.V., F.A., J.-F.G., N.V.), Université Paris Cité, France Diabetes Institute (J.-B.J., D.G., M.D., B.T.V., C.B., E.C., L.O., C.P., K.K., D.C.T., T.E., R.B., T.V.-T., J.-P.R., L.P., R.R., C.V., F.A., J.-F.G., N.V.), Université Paris Cité, France Clinique Saint Gatien Alliance (NCT+), Saint-Cyr-sur-Loire, France (M.D.)
Pierre-Jean Saulnier Poitiers Université, CHU Poitiers, INSERM, Centre d'Investigation Clinique CIC1402, Poitiers, France (P.-J.S.)
Bao Tran Vuong INSERM, Necker Enfants Malades (INEM), INSERM U1151, CNRS UMR 8253, IMMEDIAB Laboratory (J.-B.J., D.G., M.D., B.T.V., C.B., E.C., L.O., I.N., C.P., K.K., D.C.T., T.E., R.B., J.-P.R., L.P., R.R., C.V., F.A., J.-F.G., N.V.), Université Paris Cité, France Cordeliers Research Centre, INSERM, IMMEDIAB Laboratory, Sorbonne Université (J.-B.J., D.G., M.D., B.T.V., C.B., E.C., L.O., C.P., K.K., D.C.T., T.E., R.B., J.-P.R., L.P., R.R., C.V., F.A., J.-F.G., N.V.), Université Paris Cité, France Diabetes Institute (J.-B.J., D.G., M.D., B.T.V., C.B., E.C., L.O., C.P., K.K., D.C.T., T.E., R.B., T.V.-T., J.-P.R., L.P., R.R., C.V., F.A., J.-F.G., N.V.), Université Paris Cité, France
Camille Blériot INSERM, Necker Enfants Malades (INEM), INSERM U1151, CNRS UMR 8253, IMMEDIAB Laboratory (J.-B.J., D.G., M.D., B.T.V., C.B., E.C., L.O., I.N., C.P., K.K., D.C.T., T.E., R.B., J.-P.R., L.P., R.R., C.V., F.A., J.-F.G., N.V.), Université Paris Cité, France Cordeliers Research Centre, INSERM, IMMEDIAB Laboratory, Sorbonne Université (J.-B.J., D.G., M.D., B.T.V., C.B., E.C., L.O., C.P., K.K., D.C.T., T.E., R.B., J.-P.R., L.P., R.R., C.V., F.A., J.-F.G., N.V.), Université Paris Cité, France Diabetes Institute (J.-B.J., D.G., M.D., B.T.V., C.B., E.C., L.O., C.P., K.K., D.C.T., T.E., R.B., T.V.-T., J.-P.R., L.P., R.R., C.V., F.A., J.-F.G., N.V.), Université Paris Cité, France
Elena Carcarino INSERM, Necker Enfants Malades (INEM), INSERM U1151, CNRS UMR 8253, IMMEDIAB Laboratory (J.-B.J., D.G., M.D., B.T.V., C.B., E.C., L.O., I.N., C.P., K.K., D.C.T., T.E., R.B., J.-P.R., L.P., R.R., C.V., F.A., J.-F.G., N.V.), Université Paris Cité, France Cordeliers Research Centre, INSERM, IMMEDIAB Laboratory, Sorbonne Université (J.-B.J., D.G., M.D., B.T.V., C.B., E.C., L.O., C.P., K.K., D.C.T., T.E., R.B., J.-P.R., L.P., R.R., C.V., F.A., J.-F.G., N.V.), Université Paris Cité, France Diabetes Institute (J.-B.J., D.G., M.D., B.T.V., C.B., E.C., L.O., C.P., K.K., D.C.T., T.E., R.B., T.V.-T., J.-P.R., L.P., R.R., C.V., F.A., J.-F.G., N.V.), Université Paris Cité, France
Joe De Keizer Nantes Université, CHU Nantes, CNRS, INSERM, l'institut du thorax, Nantes, France (J.D.K., S.H.)
Lucie Orliaguet INSERM, Necker Enfants Malades (INEM), INSERM U1151, CNRS UMR 8253, IMMEDIAB Laboratory (J.-B.J., D.G., M.D., B.T.V., C.B., E.C., L.O., I.N., C.P., K.K., D.C.T., T.E., R.B., J.-P.R., L.P., R.R., C.V., F.A., J.-F.G., N.V.), Université Paris Cité, France Cordeliers Research Centre, INSERM, IMMEDIAB Laboratory, Sorbonne Université (J.-B.J., D.G., M.D., B.T.V., C.B., E.C., L.O., C.P., K.K., D.C.T., T.E., R.B., J.-P.R., L.P., R.R., C.V., F.A., J.-F.G., N.V.), Université Paris Cité, France Diabetes Institute (J.-B.J., D.G., M.D., B.T.V., C.B., E.C., L.O., C.P., K.K., D.C.T., T.E., R.B., T.V.-T., J.-P.R., L.P., R.R., C.V., F.A., J.-F.G., N.V.), Université Paris Cité, France
Ivan Nemazanyy INSERM, Necker Enfants Malades (INEM), INSERM U1151, CNRS UMR 8253, IMMEDIAB Laboratory (J.-B.J., D.G., M.D., B.T.V., C.B., E.C., L.O., I.N., C.P., K.K., D.C.T., T.E., R.B., J.-P.R., L.P., R.R., C.V., F.A., J.-F.G., N.V.), Université Paris Cité, France
Charline Potier INSERM, Necker Enfants Malades (INEM), INSERM U1151, CNRS UMR 8253, IMMEDIAB Laboratory (J.-B.J., D.G., M.D., B.T.V., C.B., E.C., L.O., I.N., C.P., K.K., D.C.T., T.E., R.B., J.-P.R., L.P., R.R., C.V., F.A., J.-F.G., N.V.), Université Paris Cité, France Cordeliers Research Centre, INSERM, IMMEDIAB Laboratory, Sorbonne Université (J.-B.J., D.G., M.D., B.T.V., C.B., E.C., L.O., C.P., K.K., D.C.T., T.E., R.B., J.-P.R., L.P., R.R., C.V., F.A., J.-F.G., N.V.), Université Paris Cité, France Diabetes Institute (J.-B.J., D.G., M.D., B.T.V., C.B., E.C., L.O., C.P., K.K., D.C.T., T.E., R.B., T.V.-T., J.-P.R., L.P., R.R., C.V., F.A., J.-F.G., N.V.), Université Paris Cité, France
Kennan Khider INSERM, Necker Enfants Malades (INEM), INSERM U1151, CNRS UMR 8253, IMMEDIAB Laboratory (J.-B.J., D.G., M.D., B.T.V., C.B., E.C., L.O., I.N., C.P., K.K., D.C.T., T.E., R.B., J.-P.R., L.P., R.R., C.V., F.A., J.-F.G., N.V.), Université Paris Cité, France Cordeliers Research Centre, INSERM, IMMEDIAB Laboratory, Sorbonne Université (J.-B.J., D.G., M.D., B.T.V., C.B., E.C., L.O., C.P., K.K., D.C.T., T.E., R.B., J.-P.R., L.P., R.R., C.V., F.A., J.-F.G., N.V.), Université Paris Cité, France Diabetes Institute (J.-B.J., D.G., M.D., B.T.V., C.B., E.C., L.O., C.P., K.K., D.C.T., T.E., R.B., T.V.-T., J.-P.R., L.P., R.R., C.V., F.A., J.-F.G., N.V.), Université Paris Cité, France
Dorothy Chepngenoh Tonui INSERM, Necker Enfants Malades (INEM), INSERM U1151, CNRS UMR 8253, IMMEDIAB Laboratory (J.-B.J., D.G., M.D., B.T.V., C.B., E.C., L.O., I.N., C.P., K.K., D.C.T., T.E., R.B., J.-P.R., L.P., R.R., C.V., F.A., J.-F.G., N.V.), Université Paris Cité, France Cordeliers Research Centre, INSERM, IMMEDIAB Laboratory, Sorbonne Université (J.-B.J., D.G., M.D., B.T.V., C.B., E.C., L.O., C.P., K.K., D.C.T., T.E., R.B., J.-P.R., L.P., R.R., C.V., F.A., J.-F.G., N.V.), Université Paris Cité, France Diabetes Institute (J.-B.J., D.G., M.D., B.T.V., C.B., E.C., L.O., C.P., K.K., D.C.T., T.E., R.B., T.V.-T., J.-P.R., L.P., R.R., C.V., F.A., J.-F.G., N.V.), Université Paris Cité, France
Tina Ejlalmanesh INSERM, Necker Enfants Malades (INEM), INSERM U1151, CNRS UMR 8253, IMMEDIAB Laboratory (J.-B.J., D.G., M.D., B.T.V., C.B., E.C., L.O., I.N., C.P., K.K., D.C.T., T.E., R.B., J.-P.R., L.P., R.R., C.V., F.A., J.-F.G., N.V.), Université Paris Cité, France Cordeliers Research Centre, INSERM, IMMEDIAB Laboratory, Sorbonne Université (J.-B.J., D.G., M.D., B.T.V., C.B., E.C., L.O., C.P., K.K., D.C.T., T.E., R.B., J.-P.R., L.P., R.R., C.V., F.A., J.-F.G., N.V.), Université Paris Cité, France Diabetes Institute (J.-B.J., D.G., M.D., B.T.V., C.B., E.C., L.O., C.P., K.K., D.C.T., T.E., R.B., T.V.-T., J.-P.R., L.P., R.R., C.V., F.A., J.-F.G., N.V.), Université Paris Cité, France
Raphaelle Ballaire INSERM, Necker Enfants Malades (INEM), INSERM U1151, CNRS UMR 8253, IMMEDIAB Laboratory (J.-B.J., D.G., M.D., B.T.V., C.B., E.C., L.O., I.N., C.P., K.K., D.C.T., T.E., R.B., J.-P.R., L.P., R.R., C.V., F.A., J.-F.G., N.V.), Université Paris Cité, France Cordeliers Research Centre, INSERM, IMMEDIAB Laboratory, Sorbonne Université (J.-B.J., D.G., M.D., B.T.V., C.B., E.C., L.O., C.P., K.K., D.C.T., T.E., R.B., J.-P.R., L.P., R.R., C.V., F.A., J.-F.G., N.V.), Université Paris Cité, France Diabetes Institute (J.-B.J., D.G., M.D., B.T.V., C.B., E.C., L.O., C.P., K.K., D.C.T., T.E., R.B., T.V.-T., J.-P.R., L.P., R.R., C.V., F.A., J.-F.G., N.V.), Université Paris Cité, France
Hendrick Mambu Mambueni Genomics platform UFR Simone Veil 1173; U, University of Versailles Paris-Saclay; Inserm UMR 1173 (H.M.M., H.-J.G.)
Stéphane Germain Center for Interdisciplinary Research in Biology (CIRB), College de France, CNRS, INSERM, Université PSL, Paris, France (S.G.)
Bénédicte Gaborit C2VN, INRAE, INSERM, Aix Marseille University, Marseille, France (B.G.) Department of Endocrinology, Metabolic Diseases and Nutrition, Pôle ENDO, AP-HM, Marseille, France (B.G.)
Tiphaine Vidal-Trécan Diabetes Institute (J.-B.J., D.G., M.D., B.T.V., C.B., E.C., L.O., C.P., K.K., D.C.T., T.E., R.B., T.V.-T., J.-P.R., L.P., R.R., C.V., F.A., J.-F.G., N.V.), Université Paris Cité, France Diabetology, Endocrinology and Nutrition Department, Lariboisière Hospital, Fédération de Diabétologie, France (J.-B.J., T.V.-T., J.-P.R., J.-F.G.)
Jean-Pierre Riveline INSERM, Necker Enfants Malades (INEM), INSERM U1151, CNRS UMR 8253, IMMEDIAB Laboratory (J.-B.J., D.G., M.D., B.T.V., C.B., E.C., L.O., I.N., C.P., K.K., D.C.T., T.E., R.B., J.-P.R., L.P., R.R., C.V., F.A., J.-F.G., N.V.), Université Paris Cité, France Cordeliers Research Centre, INSERM, IMMEDIAB Laboratory, Sorbonne Université (J.-B.J., D.G., M.D., B.T.V., C.B., E.C., L.O., C.P., K.K., D.C.T., T.E., R.B., J.-P.R., L.P., R.R., C.V., F.A., J.-F.G., N.V.), Université Paris Cité, France Diabetes Institute (J.-B.J., D.G., M.D., B.T.V., C.B., E.C., L.O., C.P., K.K., D.C.T., T.E., R.B., T.V.-T., J.-P.R., L.P., R.R., C.V., F.A., J.-F.G., N.V.), Université Paris Cité, France Diabetology, Endocrinology and Nutrition Department, Lariboisière Hospital, Fédération de Diabétologie, France (J.-B.J., T.V.-T., J.-P.R., J.-F.G.)
Henri-Jean Garchon Genomics platform UFR Simone Veil 1173; U, University of Versailles Paris-Saclay; Inserm UMR 1173 (H.M.M., H.-J.G.)
François Fenaille Université Paris-Saclay, CEA, INRAE, Département Médicaments et Technologies pour la Santé (MTS), MetaboHUB, France (F.F., F.C.)
Sophie Lemoine Genomics core facility, Institut de Biologie de l'ENS (IBENS), Département de biologie, École Normale Supérieure, CNRS, INSERM, Université PSL, Paris, France (S.L.)
Aurélie Carlier Diabetology and Endocrinology Department, Bichat Hospital, Fédération de Diabétologie, France (L.P., A.C., R.R.)
Florence Castelli Université Paris-Saclay, CEA, INRAE, Département Médicaments et Technologies pour la Santé (MTS), MetaboHUB, France (F.F., F.C.)
Louis Potier INSERM, Necker Enfants Malades (INEM), INSERM U1151, CNRS UMR 8253, IMMEDIAB Laboratory (J.-B.J., D.G., M.D., B.T.V., C.B., E.C., L.O., I.N., C.P., K.K., D.C.T., T.E., R.B., J.-P.R., L.P., R.R., C.V., F.A., J.-F.G., N.V.), Université Paris Cité, France Cordeliers Research Centre, INSERM, IMMEDIAB Laboratory, Sorbonne Université (J.-B.J., D.G., M.D., B.T.V., C.B., E.C., L.O., C.P., K.K., D.C.T., T.E., R.B., J.-P.R., L.P., R.R., C.V., F.A., J.-F.G., N.V.), Université Paris Cité, France Diabetes Institute (J.-B.J., D.G., M.D., B.T.V., C.B., E.C., L.O., C.P., K.K., D.C.T., T.E., R.B., T.V.-T., J.-P.R., L.P., R.R., C.V., F.A., J.-F.G., N.V.), Université Paris Cité, France Diabetology and Endocrinology Department, Bichat Hospital, Fédération de Diabétologie, France (L.P., A.C., R.R.)
David Masson INSERM, LNC UMR1231, Dijon, France (D.M.) University of Bourgogne and Franche-Comté, LNC UMR1231, Dijon, France (D.M.) FCS Bourgogne-Franche Comté, LipSTIC LabEx, Dijon, France (D.M.) Plateau Automatisé de Biochimie, Dijon University Hospital, France (D.M.)
Ronan Roussel INSERM, Necker Enfants Malades (INEM), INSERM U1151, CNRS UMR 8253, IMMEDIAB Laboratory (J.-B.J., D.G., M.D., B.T.V., C.B., E.C., L.O., I.N., C.P., K.K., D.C.T., T.E., R.B., J.-P.R., L.P., R.R., C.V., F.A., J.-F.G., N.V.), Université Paris Cité, France Cordeliers Research Centre, INSERM, IMMEDIAB Laboratory, Sorbonne Université (J.-B.J., D.G., M.D., B.T.V., C.B., E.C., L.O., C.P., K.K., D.C.T., T.E., R.B., J.-P.R., L.P., R.R., C.V., F.A., J.-F.G., N.V.), Université Paris Cité, France Diabetes Institute (J.-B.J., D.G., M.D., B.T.V., C.B., E.C., L.O., C.P., K.K., D.C.T., T.E., R.B., T.V.-T., J.-P.R., L.P., R.R., C.V., F.A., J.-F.G., N.V.), Université Paris Cité, France Diabetology and Endocrinology Department, Bichat Hospital, Fédération de Diabétologie, France (L.P., A.C., R.R.)
Claire Vandiedonck INSERM, Necker Enfants Malades (INEM), INSERM U1151, CNRS UMR 8253, IMMEDIAB Laboratory (J.-B.J., D.G., M.D., B.T.V., C.B., E.C., L.O., I.N., C.P., K.K., D.C.T., T.E., R.B., J.-P.R., L.P., R.R., C.V., F.A., J.-F.G., N.V.), Université Paris Cité, France Cordeliers Research Centre, INSERM, IMMEDIAB Laboratory, Sorbonne Université (J.-B.J., D.G., M.D., B.T.V., C.B., E.C., L.O., C.P., K.K., D.C.T., T.E., R.B., J.-P.R., L.P., R.R., C.V., F.A., J.-F.G., N.V.), Université Paris Cité, France Diabetes Institute (J.-B.J., D.G., M.D., B.T.V., C.B., E.C., L.O., C.P., K.K., D.C.T., T.E., R.B., T.V.-T., J.-P.R., L.P., R.R., C.V., F.A., J.-F.G., N.V.), Université Paris Cité, France
Samy Hadjadj Nantes Université, CHU Nantes, CNRS, INSERM, l'institut du thorax, Nantes, France (J.D.K., S.H.)
Fawaz Alzaid INSERM, Necker Enfants Malades (INEM), INSERM U1151, CNRS UMR 8253, IMMEDIAB Laboratory (J.-B.J., D.G., M.D., B.T.V., C.B., E.C., L.O., I.N., C.P., K.K., D.C.T., T.E., R.B., J.-P.R., L.P., R.R., C.V., F.A., J.-F.G., N.V.), Université Paris Cité, France Cordeliers Research Centre, INSERM, IMMEDIAB Laboratory, Sorbonne Université (J.-B.J., D.G., M.D., B.T.V., C.B., E.C., L.O., C.P., K.K., D.C.T., T.E., R.B., J.-P.R., L.P., R.R., C.V., F.A., J.-F.G., N.V.), Université Paris Cité, France Diabetes Institute (J.-B.J., D.G., M.D., B.T.V., C.B., E.C., L.O., C.P., K.K., D.C.T., T.E., R.B., T.V.-T., J.-P.R., L.P., R.R., C.V., F.A., J.-F.G., N.V.), Université Paris Cité, France Dasman Diabetes Institute, Kuwait (F.A.)
Jean-François Gautier INSERM, Necker Enfants Malades (INEM), INSERM U1151, CNRS UMR 8253, IMMEDIAB Laboratory (J.-B.J., D.G., M.D., B.T.V., C.B., E.C., L.O., I.N., C.P., K.K., D.C.T., T.E., R.B., J.-P.R., L.P., R.R., C.V., F.A., J.-F.G., N.V.), Université Paris Cité, France Cordeliers Research Centre, INSERM, IMMEDIAB Laboratory, Sorbonne Université (J.-B.J., D.G., M.D., B.T.V., C.B., E.C., L.O., C.P., K.K., D.C.T., T.E., R.B., J.-P.R., L.P., R.R., C.V., F.A., J.-F.G., N.V.), Université Paris Cité, France Diabetes Institute (J.-B.J., D.G., M.D., B.T.V., C.B., E.C., L.O., C.P., K.K., D.C.T., T.E., R.B., T.V.-T., J.-P.R., L.P., R.R., C.V., F.A., J.-F.G., N.V.), Université Paris Cité, France Diabetology, Endocrinology and Nutrition Department, Lariboisière Hospital, Fédération de Diabétologie, France (J.-B.J., T.V.-T., J.-P.R., J.-F.G.)
Nicolas Venteclef INSERM, Necker Enfants Malades (INEM), INSERM U1151, CNRS UMR 8253, IMMEDIAB Laboratory (J.-B.J., D.G., M.D., B.T.V., C.B., E.C., L.O., I.N., C.P., K.K., D.C.T., T.E., R.B., J.-P.R., L.P., R.R., C.V., F.A., J.-F.G., N.V.), Université Paris Cité, France Cordeliers Research Centre, INSERM, IMMEDIAB Laboratory, Sorbonne Université (J.-B.J., D.G., M.D., B.T.V., C.B., E.C., L.O., C.P., K.K., D.C.T., T.E., R.B., J.-P.R., L.P., R.R., C.V., F.A., J.-F.G., N.V.), Université Paris Cité, France Diabetes Institute (J.-B.J., D.G., M.D., B.T.V., C.B., E.C., L.O., C.P., K.K., D.C.T., T.E., R.B., T.V.-T., J.-P.R., L.P., R.R., C.V., F.A., J.-F.G., N.V.), Université Paris Cité, France

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Lecordier S, Menet R, Allain AS, ElAli A. Non-classical monocytes promote neurovascular repair in cerebral small vessel disease associated with microinfarctions via CX3CR1. J Cereb Blood Flow Metab 2023;43:1873-1890. [PMID: 37340860 PMCID: PMC10676133 DOI: 10.1177/0271678x231183742] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Revised: 05/12/2023] [Accepted: 05/17/2023] [Indexed: 06/22/2023]

Jing J, Zhu C, Gong R, Qi X, Zhang Y, Zhang Z. Research progress on the active ingredients of traditional Chinese medicine in the intervention of atherosclerosis: A promising natural immunotherapeutic adjuvant. Biomed Pharmacother 2023;159:114201. [PMID: 36610225 DOI: 10.1016/j.biopha.2022.114201] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Revised: 12/21/2022] [Accepted: 12/30/2022] [Indexed: 01/07/2023] Open

Wang L, Zhang Y, Yu B, Zhao J, Zhang W, Fan H, Ren Z, Liang B. The monocyte-to-high-density lipoprotein ratio is associated with the occurrence of atrial fibrillation among NAFLD patients: A propensity-matched analysis. Front Endocrinol (Lausanne) 2023;14:1127425. [PMID: 37056665 PMCID: PMC10086442 DOI: 10.3389/fendo.2023.1127425] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Accepted: 03/07/2023] [Indexed: 03/30/2023] Open

Abstract

BACKGROUND

Accumulating evidence suggests that patients with nonalcoholic fatty liver disease (NAFLD) have a significantly high risk of incident atrial fibrillation (AF). Systemic inflammation, metabolic disorders and oxidative stress could be the potential mechanisms by which NAFLD drives AF. Monocyte-to- high-density lipoprotein ratio (MHR) has emerged as a novel biomarker of inflammation and oxidative stress that has not been studied in AF with NAFLD patients. We aimed to investigate the relationship between MHR and the risk of AF among NAFLD patients.

METHODS

A retrospective analysis was performed for the clinical data of the patients with NAFLD in the Second Hospital of Shanxi Medical University from January 2019 to October 2022, among whom 204 patients with AF were enrolled as NAFLD+AF group and 613 patients without AF were enrolled as NAFLD control, and 152 patients were selected from each group based on propensity score matching (PSM) at a ratio of 1:1 to balance the covariates between groups. The t-test or the Mann-Whitney U test was used for comparison of continuous data between two groups; the chi-square test or the Fisher's exact test was used for comparison of categorical data between two groups. Logistic regression analysis was performed to identify the independent predictor for occurrence of AF among NAFLD patients. Trend chi-square test to analyze the prevalence of AF among MHR tertiles, and then the correlation between MHR and the risk of AF confirmed by restricted cubic splines (RCS). The receiver operating characteristic (ROC) curve analysis was used to determine the optimum MHR cutoff value to predict AF.

RESULTS

Univariate analysis showed that AF patients had higher MHR than non-AF patients (P < 0.001). Meanwhile, compared with pure NAFLD patients, multivariate logistic regression analysis showed that MHR remained to be an independent risk factor for AF after adjusting for confounding risk factors (OR = 10.67, 95% CI 2.17-52.37, P = 0.004). TC、HDL-C were also independent risk factors for AF. Among them, TC and HDL-C are protective factors for AF. The trend chi-square test showed that the risk of AF increased with an increase in MHR (P < 0.05). However, the RCS showed a nonlinear and J-shaped relationship between MHR and the risk of AF (P for non-linearity = 0.023). The occurrence of AF increased with increasing MHR only when MHR > 0.44. The ROC curve showed that MHR combined with traditional risk factors can improve the ability to predict AF.

CONCLUSION

MHR is an independently associated with incident AF in patients with NAFLD and show a certain predictive value.

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Xiong L, Fan C, Song J, Wan Y, Lin X, Su Z, Qiu J, Wu W, He Z, Wu Y, Yang X. Associations of long-term cadmium exposure with peripheral white blood cell subtype counts and indices in residents of cadmium-polluted areas. CHEMOSPHERE 2022;308:135946. [PMID: 36007735 DOI: 10.1016/j.chemosphere.2022.135946] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Revised: 07/29/2022] [Accepted: 08/01/2022] [Indexed: 06/15/2023]

Affiliation(s)

Lili Xiong Food Safety and Health Research Center, Guangdong Provincial Key Laboratory of Tropical Disease Research, Guangdong-Hongkong-Macao Joint Laboratory for Contaminants Exposure and Health, School of Public Health, Southern Medical University, Guangzhou, Guangdong, 510000, China
Cuihua Fan Food Safety and Health Research Center, Guangdong Provincial Key Laboratory of Tropical Disease Research, Guangdong-Hongkong-Macao Joint Laboratory for Contaminants Exposure and Health, School of Public Health, Southern Medical University, Guangzhou, Guangdong, 510000, China
Jia Song Food Safety and Health Research Center, Guangdong Provincial Key Laboratory of Tropical Disease Research, Guangdong-Hongkong-Macao Joint Laboratory for Contaminants Exposure and Health, School of Public Health, Southern Medical University, Guangzhou, Guangdong, 510000, China
Yu Wan Food Safety and Health Research Center, Guangdong Provincial Key Laboratory of Tropical Disease Research, Guangdong-Hongkong-Macao Joint Laboratory for Contaminants Exposure and Health, School of Public Health, Southern Medical University, Guangzhou, Guangdong, 510000, China
Xiuqin Lin Food Safety and Health Research Center, Guangdong Provincial Key Laboratory of Tropical Disease Research, Guangdong-Hongkong-Macao Joint Laboratory for Contaminants Exposure and Health, School of Public Health, Southern Medical University, Guangzhou, Guangdong, 510000, China
Zujian Su Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, 510000, China
Jianmin Qiu The Fifth Affiliated Hospital, Southern Medical University, Guangzhou, Guangdong, 510000, China
WeiLiang Wu Food Safety and Health Research Center, Guangdong Provincial Key Laboratory of Tropical Disease Research, Guangdong-Hongkong-Macao Joint Laboratory for Contaminants Exposure and Health, School of Public Health, Southern Medical University, Guangzhou, Guangdong, 510000, China
Zhini He Food Safety and Health Research Center, Guangdong Provincial Key Laboratory of Tropical Disease Research, Guangdong-Hongkong-Macao Joint Laboratory for Contaminants Exposure and Health, School of Public Health, Southern Medical University, Guangzhou, Guangdong, 510000, China
Yongning Wu Food Safety and Health Research Center, Guangdong Provincial Key Laboratory of Tropical Disease Research, Guangdong-Hongkong-Macao Joint Laboratory for Contaminants Exposure and Health, School of Public Health, Southern Medical University, Guangzhou, Guangdong, 510000, China; NHC Key Laboratory of Food Safety Risk Assessment, Food Safety Research Unit (2019RU014) of Chinese Academy of Medical Science, China National Center for Food Safety Risk Assessment, Beijing, 100021, China.
Xingfen Yang Food Safety and Health Research Center, Guangdong Provincial Key Laboratory of Tropical Disease Research, Guangdong-Hongkong-Macao Joint Laboratory for Contaminants Exposure and Health, School of Public Health, Southern Medical University, Guangzhou, Guangdong, 510000, China.

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Jiang M, Yang J, Zou H, Li M, Sun W, Kong X. Monocyte-to-high-density lipoprotein-cholesterol ratio (MHR) and the risk of all-cause and cardiovascular mortality: a nationwide cohort study in the United States. Lipids Health Dis 2022;21:30. [PMID: 35300686 PMCID: PMC8931976 DOI: 10.1186/s12944-022-01638-6] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Accepted: 02/17/2022] [Indexed: 12/26/2022] Open

Abstract

Background

Elevated monocyte-to-high-density lipoprotein-cholesterol ratio (MHR) is relevant to higher all-cause and cardiovascular mortality in patients with coronary artery disease and other comorbidities. However, the predictive values of MHR for mortality in the general population have been underutilized. This study investigated the association of MHR with all-cause and cardiovascular mortality in the adult population of the United States.

Methods

This study included 34,335 participants (≥20 years) from the National Health and Nutrition Examination Survey 1999–2014 that were grouped according to MHR tertiles. Kaplan-Meier plots and long-rank tests were employed to investigate differences in survival among the groups. Moreover, the relationship of MHR with all-cause and cardiovascular mortality was further explored using multivariate Cox regression and restricted cubic spline analysis.

Results

During the average follow-up of 93.5 ± 56 months, 4310 (12.6%) participants died, with 754 (2.2%) deaths attributed to cardiovascular diseases. Kaplan-Meier analysis revealed statistically obvious differences in all-cause and cardiovascular mortality among the MHR tertiles (log-rank test: all P < 0.001). In multi-adjusted models, participants in the highest tertile of MHR had an increased risk of all-cause (hazard ratio [HR] = 1.19, 95% confidence interval [CI] 1.10–1.29) and cardiovascular mortality (HR = 1.44, 95% CI 1.17–1.77), compared to those in the lowest tertile. Furthermore, the restricted cubic spline curve indicated that MHR had a non-linear association with all-cause mortality (P < 0.001), and the inflection point of MHR was 0.006. Each 2-fold change in MHR exhibited a 32% decrease (HR = 0.68, 95%CI 0.58–0.82) and a 20% increase (HR = 1.20, 95%CI 1.13–1.27) in the risk of all-cause mortality on the left and right flanks of the inflection point, respectively. Additionally, the risk of cardiovascular mortality increased by 21% per 2-fold change in MHR (HR = 1.21, 95%CI 1.07–1.36) in a linear manner.

Conclusions

MHR was significantly related to all-cause and cardiovascular mortality in the general population independent of established risk factors.

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Huang H, Wang Q, Shi X, Chen Y, Shen C, Zhang J, Xu C. Association between Monocyte to High-Density Lipoprotein Cholesterol Ratio and Nonalcoholic Fatty Liver Disease: A Cross-Sectional Study. Mediators Inflamm 2021;2021:6642246. [PMID: 34916874 PMCID: PMC8670965 DOI: 10.1155/2021/6642246] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2020] [Revised: 11/02/2021] [Accepted: 11/03/2021] [Indexed: 01/15/2023] Open

Abstract

BACKGROUND

The aim of the present study was to investigate the association between monocyte to high-density lipoprotein cholesterol ratio (MHR) and nonalcoholic fatty liver disease (NAFLD) in Chinese population.

METHODS

We enrolled 14189 individuals who attended their annual health examinations in the study. We performed the anthropometric and laboratory measurements and diagnosed NAFLD by hepatic ultrasonography without evidence of other etiologies of chronic liver disease. Student's t-test, Mann-Whitney U test, and chi-squared (χ 2) test was used to compare the differences of clinical characteristics between participants with or without NAFLD. Pearson's and Spearman's analyses were performed to assess the correlation of MHR and NAFLD risk factors. Univariate and multivariate logistic regression analyses were conducted to explore whether MHR associated with NAFLD.

RESULTS

Thirty-five percent of the participants enrolled were diagnosed with NAFLD. Compared with healthy controls, NAFLD patients were male predominant, older, and had higher body mass index, waist circumference, and systolic and diastolic blood pressure, as well as higher levels of alanine aminotransferase, aspartate aminotransferase, γ-glutamyl transferase, triglyceride, total cholesterol, low-density lipoprotein cholesterol, fasting plasma glucose, glycated hemoglobin A1c, and serum uric acid, but lower levels of serum high-density lipoprotein cholesterol. Besides, MHR was significantly higher in NAFLD patients than healthy controls [5.35 (4.18-6.84) versus 4.53 (3.48-5.93), P < 0.001]. MHR quartiles were positively related to the prevalence of NAFLD (P < 0.001 for trend). In multivariate logistic regression analysis, MHR was positively associated with the risk of NAFLD after adjusting age, gender, body mass index, waist circumference, diastolic blood pressure, alanine aminotransferase, triglyceride, total cholesterol, fasting plasma glucose, and serum uric acid (OR: 1.026, 95% CI: 1.002-1.052; P = 0.037).

CONCLUSIONS

MHR is significantly and positively associated with the risk of NAFLD.

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Oh ES, Petersen KS, Kris-Etherton PM, Rogers CJ. Four weeks of spice consumption lowers plasma proinflammatory cytokines and alters the function of monocytes in adults at risk of cardiometabolic disease: secondary outcome analysis in a 3-period, randomized, crossover, controlled feeding trial. Am J Clin Nutr 2021;115:61-72. [PMID: 34601551 PMCID: PMC8755038 DOI: 10.1093/ajcn/nqab331] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2021] [Accepted: 09/27/2021] [Indexed: 12/16/2022] Open

Abstract

BACKGROUND

Numerous studies demonstrate acute anti-inflammatory properties of individual spices, but none have examined the effect of longer-term consumption of a spice blend incorporated in a meal.

OBJECTIVES

We investigated the effect of longer-term spice consumption on inflammatory cytokines and monocyte subsets [classical (CM), intermediate (IM), nonclassical (NCM)] in adults at risk of cardiometabolic disease.

METHODS

A 3-period, randomized, crossover, controlled feeding trial was conducted. Participants (n = 71 recruited; n = 63 completed) randomly consumed diets differing in terms of the quantity of spices: 0.547 g (low-dose spice diet; LSD), 3.285 g (medium-dose spice diet; MSD), or 6.571 g (high-dose spice diet; HSD) · d-1 · 2100 kcal-1, for 4 wk with a ≥2-wk washout between diets. At baseline and after each diet period, proinflammatory cytokines (IL-1β, IL-6, IL-8, monocyte chemoattractant protein-1, and TNF-α) in plasma and LPS-stimulated peripheral blood mononuclear cell culture supernatants, and the phenotype and function of monocyte subsets, were measured in fasted participants. Postprandial proinflammatory cytokines also were quantified at baseline by consumption of a low-spice-dose test meal, and after each diet period by consumption of a test meal containing a spice dose corresponding to daily spice consumption during the preceding 4-wk diet period.

RESULTS

Fasting plasma IL-6 was reduced (mean ± SEM: -118.26 ± 50.63 fg/mL; P < 0.05) after MSD compared with baseline. Postprandial plasma IL-1β, IL-8, and TNF-α were lower (mean ± SEM : -9.47 ± 2.70 fg/mL, -0.20 ± 0.05 pg/mL, and -33.28 ± 12.35 fg/mL, respectively) after MSD compared with LSD (main diet effect; P < 0.05). CM adherence was reduced (mean ± SEM: -0.86 ± 0.34; P = 0.034) after HSD compared with LSD. IM migration was reduced after MSD and HSD compared with LSD (mean ± SEM: -0.39 ± 0.09 and -0.56 ± 0.14, respectively; P < 0.05).

CONCLUSIONS

Four weeks of MSD consumption reduced fasting plasma IL-6 and postprandial plasma IL-1β, IL-8, and TNF-α as well as altering monocyte function.This trial was registered at clinicaltrials.gov as NCT03064932.

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Munawara U, Catanzaro M, Xu W, Tan C, Hirokawa K, Bosco N, Dumoulin D, Khalil A, Larbi A, Lévesque S, Ramassamy C, Barron AE, Cunnane S, Beauregard PB, Bellenger JP, Rodrigues S, Desroches M, Witkowski JM, Laurent B, Frost EH, Fulop T. Hyperactivation of monocytes and macrophages in MCI patients contributes to the progression of Alzheimer's disease. IMMUNITY & AGEING 2021;18:29. [PMID: 34154615 PMCID: PMC8215492 DOI: 10.1186/s12979-021-00236-x] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Accepted: 05/09/2021] [Indexed: 02/07/2023]

Abstract

Background

Alzheimer’s disease (AD) is the most common neurodegenerative disease ultimately manifesting as clinical dementia. Despite considerable effort and ample experimental data, the role of neuroinflammation related to systemic inflammation is still unsettled. While the implication of microglia is well recognized, the exact contribution of peripheral monocytes/macrophages is still largely unknown, especially concerning their role in the various stages of AD.

Objectives

AD develops over decades and its clinical manifestation is preceded by subjective memory complaints (SMC) and mild cognitive impairment (MCI); thus, the question arises how the peripheral innate immune response changes with the progression of the disease. Therefore, to further investigate the roles of monocytes/macrophages in the progression of AD we assessed their phenotypes and functions in patients at SMC, MCI and AD stages and compared them with cognitively healthy controls. We also conceptualised an idealised mathematical model to explain the functionality of monocytes/macrophages along the progression of the disease.

Results

We show that there are distinct phenotypic and functional changes in monocyte and macrophage populations as the disease progresses. Higher free radical production upon stimulation could already be observed for the monocytes of SMC patients. The most striking results show that activation of peripheral monocytes (hyperactivation) is the strongest in the MCI group, at the prodromal stage of the disease. Monocytes exhibit significantly increased chemotaxis, free radical production, and cytokine production in response to TLR2 and TLR4 stimulation.

Conclusion

Our data suggest that the peripheral innate immune system is activated during the progression from SMC through MCI to AD, with the highest levels of activation being in MCI subjects and the lowest in AD patients. Some of these parameters may be used as biomarkers, but more holistic immune studies are needed to find the best period of the disease for clinical intervention.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12979-021-00236-x.

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Affiliation(s)

Usma Munawara Research Center on Aging, Faculty of Medicine and Health Sciences, University of Sherbrooke, 3001, 12th Avenue North, Sherbrooke, Quebec, J1H 5N4, Canada
Michael Catanzaro Research Center on Aging, Faculty of Medicine and Health Sciences, University of Sherbrooke, 3001, 12th Avenue North, Sherbrooke, Quebec, J1H 5N4, Canada.,Department of Drug Sciences, University of Pavia, Pavia, Italy
Weili Xu Singapore Immunology Network (SIgN), Agency for Science Technology and Research (A*STAR), Immunos Building, Biopolis, Singapore, Singapore
Crystal Tan Singapore Immunology Network (SIgN), Agency for Science Technology and Research (A*STAR), Immunos Building, Biopolis, Singapore, Singapore
Katsuiku Hirokawa Department of Diagnostic Pathology, Institute of Health and Life Science, Tokyo Med. Dent. University, Tokyo and Nitobe Memorial Nakanosogo Hospital, Tokyo, Japan
Nabil Bosco Nestlé Research, Nestlé Institute of Health Sciences, Department of Cell Biology, Cellular Metabolism, EPFL Innovation Park, CH-1015, Lausanne, Switzerland
David Dumoulin Department of Biology, Faculty of Sciences, University of Sherbrooke, Sherbrooke, Quebec, Canada
Abdelouahed Khalil Research Center on Aging, Faculty of Medicine and Health Sciences, University of Sherbrooke, 3001, 12th Avenue North, Sherbrooke, Quebec, J1H 5N4, Canada
Anis Larbi Research Center on Aging, Faculty of Medicine and Health Sciences, University of Sherbrooke, 3001, 12th Avenue North, Sherbrooke, Quebec, J1H 5N4, Canada.,Singapore Immunology Network (SIgN), Agency for Science Technology and Research (A*STAR), Immunos Building, Biopolis, Singapore, Singapore
Simon Lévesque Department of Microbiology and Infectiology, Faculty of Medicine and Health Sciences, University of Sherbrooke, Sherbrooke, Quebec, Canada
Charles Ramassamy INRS-Centre Armand-Frappier Santé-biotechnologie, Montréal, Québec, Canada
Annelise E Barron Department of Bioengineering, Stanford School of Medicine, Stanford, California, USA
Stephen Cunnane Research Center on Aging, Endocrinology Division, Department of Medicine, Faculty of Medicine and Health Sciences, University of Sherbrooke, Sherbrooke, Quebec, Canada
Pascale B Beauregard Department of Biology, Faculty of Sciences, University of Sherbrooke, Sherbrooke, Quebec, Canada
Jean-Pierre Bellenger Department of Chemistry, Faculty of Sciences, University of Sherbrooke, Sherbrooke, Quebec, Canada
Serafim Rodrigues Ikerbasque, The Basque Foundation for Science, Bilbao, Spain. .,Basque Center for Applied Mathematics, Mathematical, Computational and Experimental Neuroscience research group, Alameda de Mazarredo 14, 48009, Bilbao, Bizkaia, Basque-Country, Spain.
Mathieu Desroches MathNeuro Team, Inria Sophia Antipolis Méditerranée, Valbonne, France.,Université Côte d'Azur, Nice, France
Jacek M Witkowski Department of Pathophysiology, Medical University of Gdansk, Gdansk, Poland
Benoit Laurent Research Center on Aging, Department of Biochemistry, Faculty of Medicine and Health Sciences, University of Sherbrooke, Sherbrooke, Quebec, Canada
Eric H Frost Department of Microbiology and Infectiology, Faculty of Medicine and Health Sciences, University of Sherbrooke, Sherbrooke, Quebec, Canada
Tamas Fulop Research Center on Aging, Faculty of Medicine and Health Sciences, University of Sherbrooke, 3001, 12th Avenue North, Sherbrooke, Quebec, J1H 5N4, Canada.

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Grist JT, Chen M, Collier GJ, Raman B, AbuEid G, McIntyre A, Matthews V, Fraser E, Ho LP, Wild JM, Gleeson F. Hyperpolarized ¹²⁹Xe MRI Abnormalities in Dyspneic Participants 3 Months after COVID-19 Pneumonia: Preliminary Results. Radiology 2021;301:E353-E360. [PMID: 34032513 PMCID: PMC8168952 DOI: 10.1148/radiol.2021210033] [Citation(s) in RCA: 74] [Impact Index Per Article: 24.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]

Abstract

Background

SARS-CoV-2 targets angiotensin-converting enzyme 2 (ACE2) expressing cells in the respiratory tract. There are reports of breathlessness in patients many months post-infection.

Purpose

This study aimed to determine if hyperpolarized ¹²⁹Xe MRI (XeMRI) imaging could identify the possible cause of breathlessness in patients three months after hospital discharge following COVID-19 infection.

Materials and Methods

This prospective study was undertaken between August and December 2020, with patients and healthy control volunteers enrolled. All patients underwent: lung function tests; ventilation and dissolved phase XeMRI, with the mean Red Blood Cell (RBC):Tissue Plasma (TP) ratio to be calculated; and a low dose chest CT scored for the degree of post-COVID-19 abnormalities. Healthy controls underwent XeMRI. The intraclass correlation coefficient was calculated for volunteer and patient scans, to assess repeatability. A Wilcoxon rank-sum test and Cohen's effect size calculated to assess for differences between RBC:TP in patient and controls.

Results

9 patients (mean age 57±7 years, Male = 6) and 5 volunteers (29 ± 3 years, Female = 5) were enrolled. Patient mean time from hospital discharge was 169, range 116-254 days. There was a difference in RBC:TP between patients and controls (0.3 ± 0.1 versus 0.5 ± 0.1, respectively, p = 0.001, effect size = 1.36). There was significant difference between the RBC and gas phase spectral full width at half maximum (FWHM) between volunteers and patients (median ± 95 % confidence interval, 567 ± 1 vs 507 ± 81, p = 0.002 and 104 ± 2 vs 122 ± 17, p = 0.004, respectively). Results were reproducible with Intraclass Correlation Coefficients of 0.82 and 0.88 for patients and volunteers respectively. Participants had normal or near normal CT scans, mean 7/25, range 0-10/25.

Conclusion

Xe MRI showed alveolar-capillary diffusion limitation in all 9 post COVID-19 pneumonia patients despite normal or nearly normal CT scans.