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Carlson JM, Lin DJ. Prognostication in Prolonged and Chronic Disorders of Consciousness. Semin Neurol 2023; 43:744-757. [PMID: 37758177 DOI: 10.1055/s-0043-1775792] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/03/2023]
Abstract
Patients with prolonged disorders of consciousness (DOCs) longer than 28 days may continue to make significant gains and achieve functional recovery. Occasionally, this recovery trajectory may extend past 3 (for nontraumatic etiologies) and 12 months (for traumatic etiologies) into the chronic period. Prognosis is influenced by several factors including state of DOC, etiology, and demographics. There are several testing modalities that may aid prognostication under active investigation including electroencephalography, functional and anatomic magnetic resonance imaging, and event-related potentials. At this time, only one treatment (amantadine) has been routinely recommended to improve functional recovery in prolonged DOC. Given that some patients with prolonged or chronic DOC have the potential to recover both consciousness and functional status, it is important for neurologists experienced in prognostication to remain involved in their care.
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Affiliation(s)
- Julia M Carlson
- Division of Neurocritical Care, Department of Neurology, University of North Carolina Hospital, University of North Carolina School of Medicine, Chapel Hill, North Carolina
| | - David J Lin
- Center for Neurotechnology and Neurorecovery, Division of Neurocritical Care and Stroke Service, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
- Center for Neurorestoration and Neurotechnology, Rehabilitation Research and Development Service, Department of Veterans Affairs, Providence, Rhode Island
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Integrated Analysis of Multiple Microarray Studies to Identify Core Gene-Expression Signatures Involved in Tubulointerstitial Injury in Diabetic Nephropathy. BIOMED RESEARCH INTERNATIONAL 2022; 2022:9554658. [PMID: 35592524 PMCID: PMC9113875 DOI: 10.1155/2022/9554658] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Revised: 04/11/2022] [Accepted: 04/23/2022] [Indexed: 11/18/2022]
Abstract
Diabetic nephropathy is a leading cause of end-stage renal disease in both developed and developing countries. It is lack of specific diagnosis, and the pathogenesis remains unclarified in diabetic nephropathy, following the unsatisfactory effects of existing treatments. Therefore, it is very meaningful to find biomarkers with high specificity and potential targets. Two datasets, GSE30529 and GSE47184 from GEO based on diabetic nephropathy tubular samples, were downloaded and merged after batch effect removal. A total of 545 different expression genes screened with
were weighted gene coexpression correlation network analysis, and green module and blue module were identified. The results of KEGG analyses both in green module and GSEA analysis showed the same two enriched pathway, focal adhesion and viral myocarditis. Based on the intersection among WGCNA focal adhesion/Viral myocarditis, GSEA focal adhesion/viral myocarditis, and PPI network, 17 core genes, ACTN1, CAV1, PRKCB, PDGFRA, COL1A2, COL6A3, RHOA, VWF, FN1, HLA-F, HLA-DPB1, ITGB2, HLA-DRA, HLA-DMA, HLA-DPA1, HLA-B, and HLA-DMB, were identified as potential biomarkers in diabetic tubulointerstitial injury and were further validated externally for expression at GSE99325 and GSE104954 and clinical feature at nephroseq V5 online platform. CMap analysis suggested that two compounds, LY-294002 and bufexamac, may be new insights for therapeutics of diabetic tubulointerstitial injury. Conclusively, it was raised that a series of core genes may be as potential biomarkers for diagnosis and two prospective compounds.
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Methodologies for the Determination of Blood Alpha1 Antitrypsin Levels: A Systematic Review. J Clin Med 2021; 10:jcm10215132. [PMID: 34768650 PMCID: PMC8584727 DOI: 10.3390/jcm10215132] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2021] [Revised: 10/26/2021] [Accepted: 10/30/2021] [Indexed: 02/07/2023] Open
Abstract
Background: The study of hematic concentrations of alpha1 antitrypsin (AAT) is currently one step in the diagnosis of AAT deficiency. To try to clarify the relevance of the laboratory techniques, we carried out a systematic review of the literature. Methods: Studies evaluating the quantification of AAT in peripheral blood were searched in PubMed in July 2021. The selection criteria included (1) any type of study design that included a quantification of AAT in peripheral blood; (2) studies written in English or Spanish; (3) studies evaluating human beings; and (4) studies involving adults. Results: Out of 207 studies, the most frequently used techniques were nephelometry (43.9%), followed by ELISA (19.8%) and turbidimetry (13.5%). Altogether, 182 (87.9%) cases expressed their results in units of gram, while 16 (7.7%) articles expressed them in units of mole. Only 2.9% articles referred to the standard used, 43.5% articles indicated the commercial kit used, and 36.2% indicated the analyzer used. Conclusions: The technical aspects of these determinations are not always reported in the literature. Journals should be attentive to these technical requirements and ensure that they are included in the works in which AAT is determined in order to ensure a correct interpretation of the study findings.
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Morozova A, Zorkina Y, Pavlov K, Pavlova O, Abramova O, Ushakova V, Mudrak AV, Zozulya S, Otman I, Sarmanova Z, Klyushnik T, Reznik A, Kostyuk G, Chekhonin V. Associations of Genetic Polymorphisms and Neuroimmune Markers With Some Parameters of Frontal Lobe Dysfunction in Schizophrenia. Front Psychiatry 2021; 12:655178. [PMID: 34025476 PMCID: PMC8138937 DOI: 10.3389/fpsyt.2021.655178] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Accepted: 04/07/2021] [Indexed: 11/15/2022] Open
Abstract
We investigated the associations of DRD3 rs6280, HTR1A rs6295, BDNF rs6265, SCL6A4 rs16965628, and 5HT2A rs7322347 with schizophrenia in a case-control study, and associations of these genetic variants with several clinical features. We also investigated markers of inflammatory response (C-reactive protein, IL-2, IL-6, IL-10), the activity of leukocytic elastase (LE) and α1-proteinase inhibitor (a1-PI), antibodies to S100B and myelin basic protein (MBP) in schizophrenia. Clinical symptoms were assessed on three scales: Positive and Negative Syndrome Scale, The Bush - Francis Catatonia Rating Scale and Frontal Assessment Battery. All SNPs were typed using predesigned TaqMan SNP genotyping assays. The biomarkers related to the immune system were routinely tested using ELISA kits. The association with schizophrenia was found for DRD3 rs6280 (p = 0.05) and HTR2A rs7322347 (p = 0.0013). We found differences between groups by parameters of LE and a1-PI and LE/a1-PI (p < 0.001). And IL-6 was evaluated in the schizophrenia group (p < 0.001). We showed that patients with the TT allele (BDNF rs6265) had more severe impairments in frontal lobe function. a1-PI can serve as a marker for assessing the severity of frontal lobe damage in patients with frontal dementia. We found some biological parameters reflecting the severity of frontal dysfunction in schizophrenia.
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Affiliation(s)
- Anna Morozova
- Department Basic and Applied Neurobiology, V. P. Serbsky Federal Medical Research Centre of Psychiatry and Narcology, Moscow, Russia
- Mental-Health Clinic No. 1 Named After N. A. Alexeev of Moscow Healthcare Department, Moscow, Russia
| | - Yana Zorkina
- Department Basic and Applied Neurobiology, V. P. Serbsky Federal Medical Research Centre of Psychiatry and Narcology, Moscow, Russia
- Mental-Health Clinic No. 1 Named After N. A. Alexeev of Moscow Healthcare Department, Moscow, Russia
| | - Konstantine Pavlov
- Department Basic and Applied Neurobiology, V. P. Serbsky Federal Medical Research Centre of Psychiatry and Narcology, Moscow, Russia
| | - Olga Pavlova
- Department Basic and Applied Neurobiology, V. P. Serbsky Federal Medical Research Centre of Psychiatry and Narcology, Moscow, Russia
| | - Olga Abramova
- Department Basic and Applied Neurobiology, V. P. Serbsky Federal Medical Research Centre of Psychiatry and Narcology, Moscow, Russia
- Mental-Health Clinic No. 1 Named After N. A. Alexeev of Moscow Healthcare Department, Moscow, Russia
| | - Valeria Ushakova
- Department Basic and Applied Neurobiology, V. P. Serbsky Federal Medical Research Centre of Psychiatry and Narcology, Moscow, Russia
- Mental-Health Clinic No. 1 Named After N. A. Alexeev of Moscow Healthcare Department, Moscow, Russia
- Department of Biology, Lomonosov Moscow State University, Moscow, Russia
| | - Alexander V. Mudrak
- Mental-Health Clinic No. 1 Named After N. A. Alexeev of Moscow Healthcare Department, Moscow, Russia
| | | | - Irina Otman
- Mental Health Research Center, Moscow, Russia
| | | | | | - Alexander Reznik
- Mental-Health Clinic No. 1 Named After N. A. Alexeev of Moscow Healthcare Department, Moscow, Russia
- Institute of Medical and Social Technologies, Moscow, Russia
| | - Georgiy Kostyuk
- Mental-Health Clinic No. 1 Named After N. A. Alexeev of Moscow Healthcare Department, Moscow, Russia
| | - Vladimir Chekhonin
- Department Basic and Applied Neurobiology, V. P. Serbsky Federal Medical Research Centre of Psychiatry and Narcology, Moscow, Russia
- Department of Medical Nanobiotechnology, Pirogov Russian National Research Medical University, Moscow, Russia
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