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León-Moreno LC, Reza-Zaldívar EE, Hernández-Sapiéns MA, Villafaña-Estarrón E, García-Martin M, Ojeda-Hernández DD, Matias-Guiu JA, Gomez-Pinedo U, Matias-Guiu J, Canales-Aguirre AA. Mesenchymal Stem Cell-Based Therapies in the Post-Acute Neurological COVID Syndrome: Current Landscape and Opportunities. Biomolecules 2023; 14:8. [PMID: 38275749 PMCID: PMC10813738 DOI: 10.3390/biom14010008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Revised: 12/15/2023] [Accepted: 12/19/2023] [Indexed: 01/27/2024] Open
Abstract
One of the main concerns related to SARS-CoV-2 infection is the symptoms that could be developed by survivors, known as long COVID, a syndrome characterized by persistent symptoms beyond the acute phase of the infection. This syndrome has emerged as a complex and debilitating condition with a diverse range of manifestations affecting multiple organ systems. It is increasingly recognized for affecting the Central Nervous System, in which one of the most prevalent manifestations is cognitive impairment. The search for effective therapeutic interventions has led to growing interest in Mesenchymal Stem Cell (MSC)-based therapies due to their immunomodulatory, anti-inflammatory, and tissue regenerative properties. This review provides a comprehensive analysis of the current understanding and potential applications of MSC-based interventions in the context of post-acute neurological COVID-19 syndrome, exploring the underlying mechanisms by which MSCs exert their effects on neuroinflammation, neuroprotection, and neural tissue repair. Moreover, we discuss the challenges and considerations specific to employing MSC-based therapies, including optimal delivery methods, and functional treatment enhancements.
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Affiliation(s)
- Lilia Carolina León-Moreno
- Unidad de Evaluación Preclínica, Biotecnología Médica Farmacéutica, CONACYT Centro de Investigación y Asistencia en Tecnología y Diseño del Estado de Jalisco (CIATEJ), Guadalajara 44270, Mexico; (L.C.L.-M.); (M.A.H.-S.); (E.V.-E.)
| | | | - Mercedes Azucena Hernández-Sapiéns
- Unidad de Evaluación Preclínica, Biotecnología Médica Farmacéutica, CONACYT Centro de Investigación y Asistencia en Tecnología y Diseño del Estado de Jalisco (CIATEJ), Guadalajara 44270, Mexico; (L.C.L.-M.); (M.A.H.-S.); (E.V.-E.)
| | - Erika Villafaña-Estarrón
- Unidad de Evaluación Preclínica, Biotecnología Médica Farmacéutica, CONACYT Centro de Investigación y Asistencia en Tecnología y Diseño del Estado de Jalisco (CIATEJ), Guadalajara 44270, Mexico; (L.C.L.-M.); (M.A.H.-S.); (E.V.-E.)
| | - Marina García-Martin
- Laboratorio de Neurobiología, Instituto de Investigación Sanitaria, Hospital Clínico San Carlos, IdISSC, Universidad Complutense de Madrid, 28040 Madrid, Spain; (M.G.-M.); (D.D.O.-H.); (J.A.M.-G.); (U.G.-P.)
| | - Doddy Denise Ojeda-Hernández
- Laboratorio de Neurobiología, Instituto de Investigación Sanitaria, Hospital Clínico San Carlos, IdISSC, Universidad Complutense de Madrid, 28040 Madrid, Spain; (M.G.-M.); (D.D.O.-H.); (J.A.M.-G.); (U.G.-P.)
| | - Jordi A. Matias-Guiu
- Laboratorio de Neurobiología, Instituto de Investigación Sanitaria, Hospital Clínico San Carlos, IdISSC, Universidad Complutense de Madrid, 28040 Madrid, Spain; (M.G.-M.); (D.D.O.-H.); (J.A.M.-G.); (U.G.-P.)
| | - Ulises Gomez-Pinedo
- Laboratorio de Neurobiología, Instituto de Investigación Sanitaria, Hospital Clínico San Carlos, IdISSC, Universidad Complutense de Madrid, 28040 Madrid, Spain; (M.G.-M.); (D.D.O.-H.); (J.A.M.-G.); (U.G.-P.)
| | - Jorge Matias-Guiu
- Departamento de Neurología, Instituto de Investigación Sanitaria, Hospital Clínico San Carlos, IdISSC, Universidad Complutense de Madrid, 28040 Madrid, Spain
| | - Alejandro Arturo Canales-Aguirre
- Unidad de Evaluación Preclínica, Biotecnología Médica Farmacéutica, CONACYT Centro de Investigación y Asistencia en Tecnología y Diseño del Estado de Jalisco (CIATEJ), Guadalajara 44270, Mexico; (L.C.L.-M.); (M.A.H.-S.); (E.V.-E.)
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Zhou S, Wen Y, Liu C, Zhong J, Liang M, Wu Y, Lv S, Gong Z, Lao D, Li T, Lu T, Tang J, Mo X, Huang W. Clinical Characteristics of Myasthenia Gravis Patients with COVID-19 in Guangxi, China: A Case-Control Study. J Inflamm Res 2023; 16:3157-3168. [PMID: 37525635 PMCID: PMC10387240 DOI: 10.2147/jir.s419307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2023] [Accepted: 07/08/2023] [Indexed: 08/02/2023] Open
Abstract
Purpose With the adjustment of prevention strategies in December 2022, coronavirus disease 2019 (COVID-19) became widely prevalent in China. This study is aimed to describe the clinical characteristics of myasthenia gravis (MG) patients with COVID-19 and identify risk factors of exacerbation in MG patients with COVID-19 in Guangxi. Patients and Methods A total of 489 MG patients and 587 control subjects in Guangxi during the COVID-19 pandemic were enrolled in this case-control study. After contacting the participants, the clinical data of MG patients and the control group were analyzed. The clinical characteristics of MG patients with COVID-19 were described. Multivariable logistic regression analysis was used for discovering independent risk factors of MG exacerbation in the patients with MG and COVID-19. Results A total of 311 (75.30%) MG patients and 428 (72.91%) control subjects were infected with COVID-19, and 64.31% of MG patients with COVID-19 were women. The median age at the time of interview was 41 (IQR: 28, 54) years old, and median onset age was 36 (IQR: 24, 51), both of which were lower than those in MG patients without COVID-19. MG duration was 24 (IQR: 9, 72) months. About 44.69% of patients were generalized MG (GMG). About 11.90% of MG patients with COVID-19 showed severe COVID-19 symptoms and the duration of symptomatic COVID-19 was 9.57 ± 6.79 days, higher than those in the control group. About 35.69% MG patients with immunosuppressive drugs were infected with COVID-19, which is higher than those in the non-infected MG patients (21.57%). A total of 120 (38.59%) MG patients with COVID-19 had comorbidities. About 21 (20.19%) of the 104 MG patients without vaccination showed severe COVID-19 symptoms. Multivariable logistic regression analysis showed that baseline MG activities of daily living profile (MG-ADL, OR 1.280, 95% CI: 1.010-1.621, p = 0.041), duration of COVID-19 (OR 1.158, 95% CI: 1.100-1.220, p < 0.001), GMG (OR 2.331, 95% CI: 1.228, 4.426, p = 0.010), and lack of COVID vaccination (OR 2.075, 95% CI: 1.152, 3.738, p = 0.015) were independent factors of exacerbation in MG patients with COVID-19. Conclusion MG patients with immunosuppressive drugs, younger onset, longer MG duration, or comorbidities are more susceptible to COVID-19. The baseline MG-ADL, duration of symptomatic COVID-19, GMG, and lack of COVID-19 vaccination are independent risk factors of exacerbation in MG patients with COVID-19.
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Affiliation(s)
- Shaodan Zhou
- Department of Neurology, the First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People’s Republic of China
| | - Yishuang Wen
- Department of Neurology, the First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People’s Republic of China
| | - Chao Liu
- Department of Neurology, the First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People’s Republic of China
| | - Jian Zhong
- Department of Neurology, the First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People’s Republic of China
| | - Manli Liang
- Department of Neurology, the First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People’s Republic of China
| | - Yu Wu
- University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Sirao Lv
- Department of Neurology, the First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People’s Republic of China
| | - Zhuowei Gong
- Department of Neurology, the First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People’s Republic of China
| | - Dayuan Lao
- Department of Neurology, the First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People’s Republic of China
| | - Taiyan Li
- Department of Neurology, the First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People’s Republic of China
| | - Ting Lu
- Department of Neurology, the First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People’s Republic of China
| | - Jingqun Tang
- Department of Neurology, the First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People’s Republic of China
| | - Xuean Mo
- Department of Neurology, the First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People’s Republic of China
| | - Wen Huang
- Department of Neurology, the First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People’s Republic of China
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