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Stainer A, Tonutti A, De Santis M, Amati F, Ceribelli A, Bongiovanni G, Torrisi C, Iacopino A, Mangiameli G, Aliberti S, Selmi C. Unmet needs and perspectives in rheumatoid arthritis-associated interstitial lung disease: A critical review. Front Med (Lausanne) 2023; 10:1129939. [PMID: 37007765 PMCID: PMC10062456 DOI: 10.3389/fmed.2023.1129939] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Accepted: 02/20/2023] [Indexed: 03/18/2023] Open
Abstract
Rheumatoid arthritis (RA) is a chronic systemic autoimmune disease characterized by synovitis as the most common clinical manifestation, and interstitial lung disease (RA-ILD) represents one of the most common and potentially severe extra-articular features. Our current understanding of the mechanisms and predictors of RA-ILD is limited despite the demonstration that an early identification of progressive fibrosing forms is crucial to provide timely treatment with antifibrotic therapies. While high resolution computed tomography is the gold standard technique for the diagnosis and follow-up of RA-ILD, it has been hypothesized that serum biomarkers (including novel and rare autoantibodies), new imaging techniques such as ultrasound of the lung, or the application of innovative radiologic algorithms may help towards predicting and detecting early forms of diseases. Further, while new treatments are becoming available for idiopathic and connective tissue disease-associated forms of lung fibrosis, the treatment of RA-ILD remains anecdotal and largely unexplored. We are convinced that a better understanding of the mechanisms connecting RA with ILD in a subgroup of patients as well as the creation of adequate diagnostic pathways will be mandatory steps for a more effective management of this clinically challenging entity.
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Affiliation(s)
- Anna Stainer
- Department of Biomedical Sciences, Humanitas University, Milan, Italy
- Division of Respiratory Medicine, IRCCS Humanitas Research Hospital, Milan, Italy
| | - Antonio Tonutti
- Department of Biomedical Sciences, Humanitas University, Milan, Italy
- IRCCS Humanitas Research Hospital, Milan, Italy
| | - Maria De Santis
- Department of Biomedical Sciences, Humanitas University, Milan, Italy
- Division of Rheumatology and Clinical Immunology, IRCCS Humanitas Research Hospital, Milan, Italy
- *Correspondence: Maria De Santis,
| | - Francesco Amati
- Department of Biomedical Sciences, Humanitas University, Milan, Italy
- Division of Respiratory Medicine, IRCCS Humanitas Research Hospital, Milan, Italy
| | - Angela Ceribelli
- Department of Biomedical Sciences, Humanitas University, Milan, Italy
- Division of Rheumatology and Clinical Immunology, IRCCS Humanitas Research Hospital, Milan, Italy
| | - Gabriele Bongiovanni
- Department of Biomedical Sciences, Humanitas University, Milan, Italy
- IRCCS Humanitas Research Hospital, Milan, Italy
| | - Chiara Torrisi
- Department of Radiology, IRCCS Humanitas Research Hospital, Milan, Italy
| | - Antonio Iacopino
- Department of Radiology, IRCCS Humanitas Research Hospital, Milan, Italy
| | - Giuseppe Mangiameli
- Department of Biomedical Sciences, Humanitas University, Milan, Italy
- Division of Thoracic Surgery, IRCCS Humanitas Research Hospital, Milan, Italy
| | - Stefano Aliberti
- Department of Biomedical Sciences, Humanitas University, Milan, Italy
- Division of Respiratory Medicine, IRCCS Humanitas Research Hospital, Milan, Italy
| | - Carlo Selmi
- Department of Biomedical Sciences, Humanitas University, Milan, Italy
- Division of Rheumatology and Clinical Immunology, IRCCS Humanitas Research Hospital, Milan, Italy
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Palumbo P, Palumbo MM, Bruno F, Picchi G, Iacopino A, Acanfora C, Sgalambro F, Arrigoni F, Ciccullo A, Cosimini B, Splendiani A, Barile A, Masedu F, Grimaldi A, Di Cesare E, Masciocchi C. Automated Quantitative Lung CT Improves Prognostication in Non-ICU COVID-19 Patients beyond Conventional Biomarkers of Disease. Diagnostics (Basel) 2021; 11:diagnostics11112125. [PMID: 34829472 PMCID: PMC8624922 DOI: 10.3390/diagnostics11112125] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Revised: 11/08/2021] [Accepted: 11/12/2021] [Indexed: 12/22/2022] Open
Abstract
(1) Background: COVID-19 continues to represent a worrying pandemic. Despite the high percentage of non-severe illness, a wide clinical variability is often reported in real-world practice. Accurate predictors of disease aggressiveness, however, are still lacking. The purpose of our study was to evaluate the impact of quantitative analysis of lung computed tomography (CT) on non-intensive care unit (ICU) COVID-19 patients' prognostication; (2) Methods: Our historical prospective study included fifty-five COVID-19 patients consecutively submitted to unenhanced lung CT. Primary outcomes were recorded during hospitalization, including composite ICU admission for the need of mechanical ventilation and/or death occurrence. CT examinations were retrospectively evaluated to automatically calculate differently aerated lung tissues (i.e., overinflated, well-aerated, poorly aerated, and non-aerated tissue). Scores based on the percentage of lung weight and volume were also calculated; (3) Results: Patients who reported disease progression showed lower total lung volume. Inflammatory indices correlated with indices of respiratory failure and high-density areas. Moreover, non-aerated and poorly aerated lung tissue resulted significantly higher in patients with disease progression. Notably, non-aerated lung tissue was independently associated with disease progression (HR: 1.02; p-value: 0.046). When different predictive models including clinical, laboratoristic, and CT findings were analyzed, the best predictive validity was reached by the model that included non-aerated tissue (C-index: 0.97; p-value: 0.0001); (4) Conclusions: Quantitative lung CT offers wide advantages in COVID-19 disease stratification. Non-aerated lung tissue is more likely to occur with severe inflammation status, turning out to be a strong predictor for disease aggressiveness; therefore, it should be included in the predictive model of COVID-19 patients.
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Affiliation(s)
- Pierpaolo Palumbo
- Department of Diagnostic Imaging, Area of Cardiovascular and Interventional Imaging, Abruzzo Health Unit 1, Via Saragat, Località Campo di Pile, 67100 L’Aquila, Italy;
- Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, 20122 Milan, Italy;
- Correspondence: (P.P.); (A.B.); Tel.: +39-0862-368512 (P.P.); +39-0862-368060 (A.B.)
| | - Maria Michela Palumbo
- Department of Anesthesiology and Intensive Care Medicine, Fondazione Policlinico Universitario A. Gemelli IRCCS, Catholic University of The Sacred Heart, 00168 Rome, Italy;
| | - Federico Bruno
- Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, 20122 Milan, Italy;
- Department of Applied Clinical Sciences and Biotechnology, University of L’Aquila, Via Vetoio 1, 67100 L’Aquila, Italy; (A.I.); (C.A.); (F.S.); (A.S.); (F.M.); (C.M.)
| | - Giovanna Picchi
- Infectious Disease Unit, San Salvatore Hospital, Via Lorenzo Natali, 1-Località Coppito, 67100 L’Aquila, Italy; (G.P.); (A.C.); (A.G.)
| | - Antonio Iacopino
- Department of Applied Clinical Sciences and Biotechnology, University of L’Aquila, Via Vetoio 1, 67100 L’Aquila, Italy; (A.I.); (C.A.); (F.S.); (A.S.); (F.M.); (C.M.)
| | - Chiara Acanfora
- Department of Applied Clinical Sciences and Biotechnology, University of L’Aquila, Via Vetoio 1, 67100 L’Aquila, Italy; (A.I.); (C.A.); (F.S.); (A.S.); (F.M.); (C.M.)
| | - Ferruccio Sgalambro
- Department of Applied Clinical Sciences and Biotechnology, University of L’Aquila, Via Vetoio 1, 67100 L’Aquila, Italy; (A.I.); (C.A.); (F.S.); (A.S.); (F.M.); (C.M.)
| | - Francesco Arrigoni
- Department of Diagnostic Imaging, Area of Cardiovascular and Interventional Imaging, Abruzzo Health Unit 1, Via Saragat, Località Campo di Pile, 67100 L’Aquila, Italy;
| | - Arturo Ciccullo
- Infectious Disease Unit, San Salvatore Hospital, Via Lorenzo Natali, 1-Località Coppito, 67100 L’Aquila, Italy; (G.P.); (A.C.); (A.G.)
| | - Benedetta Cosimini
- Department of Life, Health and Environmental Sciences, University of L’Aquila, Piazzale Salvatore Tommasi 1, 67100 L’Aquila, Italy; (B.C.); (E.D.C.)
| | - Alessandra Splendiani
- Department of Applied Clinical Sciences and Biotechnology, University of L’Aquila, Via Vetoio 1, 67100 L’Aquila, Italy; (A.I.); (C.A.); (F.S.); (A.S.); (F.M.); (C.M.)
| | - Antonio Barile
- Department of Applied Clinical Sciences and Biotechnology, University of L’Aquila, Via Vetoio 1, 67100 L’Aquila, Italy; (A.I.); (C.A.); (F.S.); (A.S.); (F.M.); (C.M.)
- Correspondence: (P.P.); (A.B.); Tel.: +39-0862-368512 (P.P.); +39-0862-368060 (A.B.)
| | - Francesco Masedu
- Department of Applied Clinical Sciences and Biotechnology, University of L’Aquila, Via Vetoio 1, 67100 L’Aquila, Italy; (A.I.); (C.A.); (F.S.); (A.S.); (F.M.); (C.M.)
| | - Alessandro Grimaldi
- Infectious Disease Unit, San Salvatore Hospital, Via Lorenzo Natali, 1-Località Coppito, 67100 L’Aquila, Italy; (G.P.); (A.C.); (A.G.)
| | - Ernesto Di Cesare
- Department of Life, Health and Environmental Sciences, University of L’Aquila, Piazzale Salvatore Tommasi 1, 67100 L’Aquila, Italy; (B.C.); (E.D.C.)
| | - Carlo Masciocchi
- Department of Applied Clinical Sciences and Biotechnology, University of L’Aquila, Via Vetoio 1, 67100 L’Aquila, Italy; (A.I.); (C.A.); (F.S.); (A.S.); (F.M.); (C.M.)
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Pagliei V, Bruno F, Battista G, Iacopino A, Riva C, Arrigoni F, Palumbo P, Bardi L, Carbone M, Di Cesare E, Masciocchi C, Splendiani A, Barile A. Cervical spine trauma: impact of different imaging classification systems in the clinical decision-making. Acta Biomed 2021; 92:e2021404. [PMID: 34505843 PMCID: PMC8477063 DOI: 10.23750/abm.v92is5.11877] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Accepted: 07/28/2021] [Indexed: 11/23/2022]
Abstract
Background and aim: Considering the high rate of mortality and permanent disability related to vertebral traumas, an early and detailed diagnosis of the trauma and subsequently an immediate and effective intervention are crucial. Cervical vertebral injury classifications guide treatment choice through a severity grade based on radiological information. The purpose of the present study was to define which imaging classification system could provide the best morphological and clinical-surgical correlations for cervical spine traumas. Methods: We retrospectively analyzed patients evaluated for cervical spine trauma at our Institution in the period 2015-2020. Information regarding the morphological examination (using CT and MRI), the neurological evaluation, and the therapeutic management were collected. C3-C7 fractures were classified according to the SLIC and AOSpine criteria; axial lesions were classified according to the modified AOSpine for the C1-C2 compartment and through the Roy-Camille and the Anderson D’Alonzo system for the odontoid process of the axis. Results: 29 patients were included in the final study population. Nine patients with axial spine trauma and 21 with subaxial cervical spine trauma. A conservative approach was applied in 16 patients while nine patients underwent neurosurgery. Considering the therapeutical indications provided by the SLIC system, a 76.9% accordance was found for patients with a <4 score, while a 100% concordance was calculated for patients with a >4 score undergoing neurosurgery. Regarding the AOSspine classification, a 28.6% concordance was observed for patients classified group B being treated with a posterior neurosurgical approach, while for patients belonging to subgroup C, considered for anterior neurosurgical approach, a 66.7% accordance was calculated. Conclusions: The study demonstrated a better morphological correlation for the AOSpine classification in subaxial trauma and the AOSpine and Anderson D’Alonzo in axial trauma. The therapeutic indication found a better correlation in the SLIC classification for subaxial trauma and the Anderson D’Alonzo for axial ones. (www.actabiomedica.it)
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Affiliation(s)
- Valeria Pagliei
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy.
| | - Federico Bruno
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy and Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, Milan, Italy.
| | - Giuseppe Battista
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy.
| | - Antonio Iacopino
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy.
| | - Camilla Riva
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy.
| | - Francesco Arrigoni
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy.
| | - Pierpaolo Palumbo
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy and Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, Milan, Italy.
| | - Luca Bardi
- Dipartimento di Scienze Biomediche Avanzate, Università Federico II, Napoli.
| | - Mattia Carbone
- A.O.U. San Giovanni di Dio e Ruggi d'Aragona, Department of Radiology, Italy.
| | - Ernesto Di Cesare
- Department of Clinical Medicine, Public Health, Life and Environmental Science, University of L'Aquila, L'Aquila, Italy.
| | - Carlo Masciocchi
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy.
| | - Alessandra Splendiani
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy.
| | - Antonio Barile
- Department of d Biotechnological and Applied Clinical Science, University of L'Aquila, L'Aquila, Italy.
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Iacopino A, Christakos S, German D, Sonsalla PK, Altar CA. Calbindin-D28K-containing neurons in animal models of neurodegeneration: possible protection from excitotoxicity. Brain Res Mol Brain Res 1992; 13:251-61. [PMID: 1317497 DOI: 10.1016/0169-328x(92)90033-8] [Citation(s) in RCA: 162] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Brain levels of the calcium binding protein Calbindin-D28K (CaBP28K) and CaBP28K mRNA were measured for various animal models of neurodegenerative diseases (MPTP-treated C57BL/6J mice and Sprague-Dawley rats receiving striatal/intraperitoneal kainic acid or quinolinic acid into the nucleus basalis magnocellularis). Brain areas were tested (radioimmunoassay, Western blot, slot blot, and Northern blot) for levels of CaBP28K and CaBP28K mRNA. The various models did not exhibit any changes in protein or mRNA levels from the controls, suggesting that CaBP28K-containing neurons were not lost after exposure to these neurotoxins. Immunocytochemical characterization of the substantia nigra of the MPTP-treated mice revealed that there was significant dopaminergic cell loss in this brain area after MPTP treatment. The majority of dopaminergic neurons that degenerated did not contain CaBP28K. The small percentage of surviving neurons were CaBP28K-positive. These results suggest that the presence of CaBP28K may protect neurons from calcium-mediated neurotoxicity.
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Affiliation(s)
- A Iacopino
- Department of Biochemistry and Molecular Biology, University of Medicine and Dentistry of New Jersey, Newark
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