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Zhou XP, Ye LF, Hu K, Zhang ZY, Jiang QH. A Prospective Study on Hemodynamics of Combined Bypass Surgery in the Treatment of Moyamoya Disease. J Craniofac Surg 2025:00001665-990000000-02640. [PMID: 40249637 DOI: 10.1097/scs.0000000000011234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2025] [Accepted: 02/17/2025] [Indexed: 04/19/2025] Open
Abstract
OBJECTIVE The study investigates the clinical effectiveness and prognosis of selecting recipient vessels for moyamoya disease (MMD) treatment during combined bypass surgery, focusing on hemodynamic criteria. METHODS Ninety-six MMD patients were randomly assigned to 3 groups (A, B, C) of 32 each, undergoing combined bypass surgery. Group A selected the vessel with the fastest fluorescing in the surgical field, group B the slowest, and group C used traditional methods. The authors monitored intraoperative recipient vessel pressure, cerebral blood flow (CBF), and modified Rankin scale (mRS) scores pre-surgery and post-surgery, and compared clinical symptom improvement, stroke recurrence, CBF, and mRS during a 6-month follow-up. RESULTS Postoperatively, groups A and B had significantly higher recipient vessel pressures than group C, with group B showing the highest (P<0.05). CBF increased significantly in all groups at 7 days post-surgery and at 6 months, with groups A and B outperforming C, and group B showing the highest increase at 7 days (P<0.05). mRS scores decreased significantly, with groups A and B showing lower scores than C at 6 months (P<0.05). However, group B had a higher incidence of clinical symptoms post-surgery compared with A and C (P<0.05). CONCLUSION The study demonstrates that hemodynamic-based recipient vessel selection significantly improves clinical outcomes in MMD patients undergoing combined bypass surgery. Although group B showed the best hemodynamic results, it also had a higher incidence of immediate postoperative symptoms, suggesting a need for a balanced approach to optimize both short-term and long-term patient outcomes.
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Affiliation(s)
| | - Li-Fang Ye
- Reproductive Medicine Department of Ganzhou People's Hospital, Ganzhou, Jiangxi, China
| | - Kun Hu
- Department of Neurosurgery, Ganzhou People's Hospital
| | - Zhen-Yu Zhang
- Department of Neurosurgery, Ganzhou People's Hospital
| | - Qiu-Hua Jiang
- Department of Neurosurgery, Ganzhou People's Hospital
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2
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Kim NY, Shin KW, Jo WY, Oh H, Lee SH, Cho WS, Kim JE, Park HP. A High Immediate Postoperative Systemic Immune-inflammation Index Is Associated With Postoperative Symptomatic Cerebral Infarction in Moyamoya Patients Undergoing Combined Revascularization Surgery. J Neurosurg Anesthesiol 2025; 37:188-195. [PMID: 39078924 DOI: 10.1097/ana.0000000000000974] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Accepted: 04/23/2024] [Indexed: 03/04/2025]
Abstract
BACKGROUND Inflammation plays a role in the pathogenesis of cerebral infarction. Postoperative symptomatic cerebral infarction (SCI) is a complication after revascularization surgery in patients with moyamoya disease (MMD). We investigated the association between the systemic-immune-inflammation index (SII) and postoperative SCI during hospital stay in such patients. METHODS Perioperative data were retrospectively obtained from 681 MMD patients who underwent revascularization surgery. SII cutoff values were identified as those where the sum of sensitivity and specificity associated with SCI were highest. Patients were divided into 4 subgroups according to the preoperative and immediate postoperative cutoff SII: HH (preoperative and postoperative SII high, n=22), LH (low preoperative and high postoperative SII, n=68), HL (high preoperative and low postoperative SII, n=125), and LL (preoperative and postoperative SII low, n=466). RESULTS Postoperative SCI occurred in 54 (7.6%) patients. The cutoff values for preoperative and immediate postoperative SII were 641.3 and 1925.4, respectively. Postoperative SCI during hospital stay was more frequent in the high postoperative SII group than in the low postoperative SII group (25.6% vs. 4.9%; P <0.001). Multivariate analysis revealed that a high immediate postoperative SII was a predictor of postoperative SCI (odds ratio, 11.61; 95% CI: 5.20-26.00; P <0.001). Postoperative SCI was lower in group LL than in group LH (3.6% vs. 23.5%, P <0.008) and was lower in group HL than in groups HH and LH (9.6% vs. 31.8% and 23.5%, both P <0.05). CONCLUSIONS A high immediate postoperative SII was associated with postoperative SCI during hospital stay in MMD patients who underwent revascularization surgery.
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Affiliation(s)
| | | | | | - Hyongmin Oh
- Department of Anesthesiology and Pain Medicine
| | - Sung Ho Lee
- Department of Neurosurgery, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
| | - Won-Sang Cho
- Department of Neurosurgery, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
| | - Jeong Eun Kim
- Department of Neurosurgery, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
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3
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Yamamoto T, Uchino H, Ito M, Sugiyama T, Fujimura M. Systemic Immune-inflammation Index Is Associated with Symptomatic Cerebral Hyperperfusion after Revascularization Surgery in Moyamoya Disease. Neurol Med Chir (Tokyo) 2025; 65:120-125. [PMID: 39864838 PMCID: PMC11968201 DOI: 10.2176/jns-nmc.2024-0170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2024] [Accepted: 11/03/2024] [Indexed: 01/28/2025] Open
Abstract
Revascularization surgery for moyamoya disease poses risks of complications, requiring appropriate management. Although precise prediction is difficult, the systemic immune-inflammation index is a calculable marker that reflects systemic inflammatory conditions. We aimed to investigate the association between postoperative complications and the systemic immune-inflammation index. We included 91 hemispheres from 71 patients who underwent combined revascularization surgery for moyamoya disease. Symptomatic cerebral hyperperfusion, radiological ischemic and hemorrhagic complications, and temporal muscle swelling that caused brain shift were assessed. The systemic immune-inflammation index ratio was calculated from blood test results from the preoperative day and the day after surgery. The association between the systemic immune-inflammation index ratio and postoperative complications was assessed using univariate and multivariate analyses. A receiver operating characteristic analysis was performed to evaluate the diagnostic value of the systemic immune-inflammation index ratio for postoperative complications. The frequencies of postoperative symptomatic cerebral hyperperfusion, ischemic and hemorrhagic complications, and temporal muscle swelling were detected in 24 (26%), 15 (16%), 11 (12%), and 5 (5%) hemispheres, respectively. The systemic immune-inflammation index ratio was higher in the group with postoperative complications than in the group without (median 4.6 vs. 2.7). Multivariate analysis demonstrated the systemic immune-inflammation index ratio as an independent factor associated with symptomatic cerebral hyperperfusion (odds ratio 2.4, 95% confidence interval 1.5-4.0). The receiver operating characteristic analysis demonstrated that the optimal threshold of the systemic immune-inflammation index ratio was 4.3, with a specificity of 0.96 and sensitivity of 0.63. The systemic immune-inflammation index ratio is an indicator of postoperative complications, including symptomatic cerebral hyperperfusion in moyamoya disease, and can be used for effective postoperative management.
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Affiliation(s)
- Taiji Yamamoto
- Department of Neurosurgery, Hokkaido University Graduate School of Medicine
| | - Haruto Uchino
- Department of Neurosurgery, Hokkaido University Graduate School of Medicine
| | - Masaki Ito
- Department of Neurosurgery, Hokkaido University Graduate School of Medicine
| | - Taku Sugiyama
- Department of Neurosurgery, Hokkaido University Graduate School of Medicine
| | - Miki Fujimura
- Department of Neurosurgery, Hokkaido University Graduate School of Medicine
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Liu C, Ge P, Mou S, Pang Y, Chan L, Li J, He Q, Liu W, Zhang B, Zhao Z, Zheng Z, Wang S, Sun W, Zhang Q, Wang R, Zhang Y, Wang W, Zhang D, Zhao J. Integrated bulk RNA sequencing and mass cytometry analysis reveal the circulating immune landscape in ischemic and hemorrhagic Moyamoya disease. BMC Immunol 2025; 26:19. [PMID: 40065209 PMCID: PMC11892264 DOI: 10.1186/s12865-025-00699-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2024] [Accepted: 02/28/2025] [Indexed: 03/14/2025] Open
Abstract
BACKGROUND Moyamoya disease (MMD) is increasingly recognized as being influenced by chronic inflammation, with circulating immune cells playing a role in its progression. However, research on the immune characteristics of different MMD subtypes is limited. This study aims to compare the peripheral immune profiles of ischemic and hemorrhagic MMD patients. METHODS Peripheral immune profiles were analyzed using transcriptome sequencing and mass cytometry. Data preprocessing was followed by functional and gene set enrichment analyses, as well as the construction of immune-related gene sets and protein-protein interaction networks. High-dimensional data analysis was performed using the PhenoGraph and t-SNE algorithms. RESULTS The study involved 9 ischemic and 6 hemorrhagic MMD patients for transcriptome analysis, and 20 ischemic and 16 hemorrhagic patients for mass cytometry. Hemorrhagic MMD patients exhibited upregulated genes associated with inflammation, hypoxia, and bacterial responses and downregulated genes related to immune response regulation. The results of mass cytometry analysis showed that, compared to ischemic MMD, patients with hemorrhagic MMD had reduced CD3 expression levels in T cells and their specific subsets, as well as impaired chemotactic capacity of DPT cells. The function of the B03 subset in B cells was diminished, while the proportion of NK cells increased and that of monocytes decreased. Additionally, the proportions of the D03 and D07 subsets in dendritic cells (DCs) were elevated. CONCLUSIONS This study reveals distinct immune profiles in ischemic and hemorrhagic MMD, emphasizing the need for subtype-specific therapeutic strategies.
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Affiliation(s)
- Chenglong Liu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing, 100070, China
| | - Peicong Ge
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing, 100070, China
| | - Siqi Mou
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing, 100070, China
- Medical School, University of Chinese Academy of Sciences, Beijing, 101408, China
| | - Yuheng Pang
- Beijing YouAn Hospital, Beijing Institute of Hepatology, Capital Medical University, Beijing, 100069, China
| | - Liujia Chan
- Department of Medicinal Chemistry, College of Pharmaceutical Sciences of Capital Medical University, Beijing, 100069, P. R. China
| | - Junsheng Li
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing, 100070, China
| | - Qiheng He
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing, 100070, China
| | - Wei Liu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing, 100070, China
| | - Bojian Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing, 100070, China
| | - Zhikang Zhao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing, 100070, China
| | - Zhiyao Zheng
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
| | - Shuang Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing, 100070, China
| | - Wei Sun
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing, 100070, China
| | - Qian Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing, 100070, China
| | - Rong Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing, 100070, China
| | - Yan Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing, 100070, China
| | - Wenjing Wang
- Beijing YouAn Hospital, Beijing Institute of Hepatology, Capital Medical University, Beijing, 100069, China.
| | - Dong Zhang
- Department of Neurosurgery, Beijing Hospital, National Center of Gerontology, Beijing, 100730, China.
- Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, China.
| | - Jizong Zhao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China.
- China National Clinical Research Center for Neurological Diseases, Beijing, 100070, China.
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Wang S, Jiang Q, Liu Y, Zhang X, Huang Y, Zhang H. The Role of Immune Cells in Moyamoya Disease. Brain Sci 2025; 15:137. [PMID: 40002470 PMCID: PMC11852451 DOI: 10.3390/brainsci15020137] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2024] [Revised: 01/23/2025] [Accepted: 01/29/2025] [Indexed: 02/27/2025] Open
Abstract
Moyamoya disease (MMD) is a rare progressive cerebrovascular disorder characterized by the stenosis or occlusion of the terminal segments of the internal carotid arteries, leading to the development of abnormal collateral vascular networks. These networks are a compensatory mechanism for reduced blood flow to the brain. Despite extensive research, the exact etiology of MMD remains unknown, although recent studies suggest that immune system dysfunction plays a critical role in its pathogenesis. In particular, the involvement of immune cells such as T cells, macrophages, and dendritic cells has been increasingly recognized. These immune cells contribute to the inflammatory process and vascular remodeling observed in MMD patients, further complicating the disease's progression. Inflammation and immune-mediated damage to the vessel walls may accelerate the narrowing and occlusion of arteries, exacerbating ischemic events in the brain. Additionally, studies have revealed that certain genetic and environmental factors can influence immune system activation in MMD, linking these pathways to disease development. This review aims to provide a comprehensive overview of the immune mechanisms at play in MMD, focusing on how immune cells participate in vascular injury and remodeling. Understanding these immunological processes may offer new therapeutic targets to halt or reverse disease progression, potentially leading to more effective treatment strategies for MMD.
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Affiliation(s)
- Sheng Wang
- Department of Neurosurgery, Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology, Jiefang Avenue 1095, Wuhan 430030, China; (S.W.); (Q.J.); (Y.L.); (X.Z.); (Y.H.)
- Hubei Key Laboratory of Neural Injury and Functional Reconstruction, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Qian Jiang
- Department of Neurosurgery, Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology, Jiefang Avenue 1095, Wuhan 430030, China; (S.W.); (Q.J.); (Y.L.); (X.Z.); (Y.H.)
- Hubei Key Laboratory of Neural Injury and Functional Reconstruction, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Yuan Liu
- Department of Neurosurgery, Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology, Jiefang Avenue 1095, Wuhan 430030, China; (S.W.); (Q.J.); (Y.L.); (X.Z.); (Y.H.)
- Hubei Key Laboratory of Neural Injury and Functional Reconstruction, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Xincheng Zhang
- Department of Neurosurgery, Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology, Jiefang Avenue 1095, Wuhan 430030, China; (S.W.); (Q.J.); (Y.L.); (X.Z.); (Y.H.)
- Hubei Key Laboratory of Neural Injury and Functional Reconstruction, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Yimin Huang
- Department of Neurosurgery, Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology, Jiefang Avenue 1095, Wuhan 430030, China; (S.W.); (Q.J.); (Y.L.); (X.Z.); (Y.H.)
- Hubei Key Laboratory of Neural Injury and Functional Reconstruction, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Huaqiu Zhang
- Department of Neurosurgery, Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology, Jiefang Avenue 1095, Wuhan 430030, China; (S.W.); (Q.J.); (Y.L.); (X.Z.); (Y.H.)
- Hubei Key Laboratory of Neural Injury and Functional Reconstruction, Huazhong University of Science and Technology, Wuhan 430030, China
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Bai W, Wang Y, Li F. Effect of Novel Inflammatory Biomarkers on Adverse Outcomes in Patients with Interstitial Lung Disease and Pneumonia: A Multicenter Retrospective Cohort Study. Comb Chem High Throughput Screen 2025; 28:798-807. [PMID: 38698751 DOI: 10.2174/0113862073286907240308095907] [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: 10/11/2023] [Revised: 01/26/2024] [Accepted: 02/06/2024] [Indexed: 05/05/2024]
Abstract
BACKGROUND Interstitial lung disease frequently coincides with pneumonia in clinical settings, and both conditions are closely associated with immunoinflammation. The Systemic Immune Inflammatory Index (SII) is a recently identified marker, and its connection to the prognosis of individuals suffering from interstitial lung disease and concurrent pneumonia remains unclear. The objective of this study was to scrutinize the correlation between varying SII levels and unfavorable outcomes in patients grappling with interstitial lung disease complicated by pneumonia. METHODS This study encompassed a retrospective multicenter cohort of 324 patients diagnosed with interstitial lung disease and pneumonia, all receiving glucocorticoid treatment during their hospitalization. We initially conducted ROC analysis to determine the optimal SII threshold. Subsequently, we examined disparities in clinical symptoms, physical signs, clinical test data, and other clinical attributes among patients with differing SII levels. Later, we employed the Kaplan-Meier survival curve method to assess the association between distinct SII levels and the 30-day and 90-day mortality rates in patients dealing with interstitial lung disease complicated by pneumonia. Finally, a Cox regression model was employed to identify factors influencing adverse prognosis in these patients. RESULTS AND DISCUSSION The findings demonstrated that the optimal SII threshold for predicting 30-day mortality was 1416.97, with an AUC of 0.633 (95% CI: 0.559-0.708) and a P value of <0.001. For 90-day mortality, the optimal SII threshold was 994.59, yielding an AUC of 0.628 (95% CI: 0.56-0.697) and a P value of <0.001. Noteworthy statistical distinctions emerged in dyspnea, cyanosis, and oxygenation index among patients with varying SII levels. Additionally, invasive mechanical ventilation, non-invasive ventilation, and extended infection duration independently constituted 30-day and 90-day mortality risk factors. Elevated heart rate and higher SII levels emerged as independent risk factors for 90-day mortality. CONCLUSION To some extent, SII levels exhibit correlations with the clinical manifestations in patients grappling with interstitial lung disease complicated by pneumonia. Notably, a high SII level is an independent predictor for an unfavorable prognosis in these patients. Nevertheless, these findings warrant further validation through prospective cohort studies.
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Affiliation(s)
- Wenmei Bai
- The Fourth Clinical College of Xinjiang Medical University, Urumqi, China
- Department of Respiratory and Critical Care Medicine, Fourth Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Yide Wang
- The Fourth Clinical College of Xinjiang Medical University, Urumqi, China
| | - Fengsen Li
- The Fourth Clinical College of Xinjiang Medical University, Urumqi, China
- Department of Respiratory and Critical Care Medicine, Fourth Affiliated Hospital of Xinjiang Medical University, Urumqi, China
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Zhang S, Sun P. Correlations of platelet-to-lymphocyte ratio, neutrophil-to-lymphocyte ratio and acute physiology, and chronic health evaluation II score with prognosis of elderly patients with chronic obstructive pulmonary disease and respiratory failure. Am J Transl Res 2024; 16:3751-3758. [PMID: 39262716 PMCID: PMC11384387 DOI: 10.62347/enap1762] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2024] [Accepted: 06/24/2024] [Indexed: 09/13/2024]
Abstract
OBJECTIVE To investigate the correlations of platelet-to-lymphocyte ratio (PLR), neutrophil-to-lymphocyte ratio (NLR) and acute physiology and chronic health evaluation II (APACHE II) score with the prognosis of elderly patients with chronic obstructive pulmonary disease (COPD) and respiratory failure. METHODS A retrospective analysis was conducted on 110 elderly COPD patients with respiratory failure. General information, inflammatory indices (PLR, NLR), and pulmonary function scores were collected. Statistical comparisons were made using t-tests and chi-square tests. ROC curve analysis evaluated the predictive value of the investigated variables. RESULTS Compared to the good-prognosis group, the poor-prognosis group exhibited significantly higher PLR, NLR levels, as well as higher COPD Assessment Test (CAT) and APACHE II scores. Logistic regression analysis identified PLR, NLR, and APACHE II scores as independent prognostic risk factors for COPD patients with respiratory failure. ROC curve analysis confirmed the high predictive value of these variables in forecasting prognosis. CONCLUSION PLR, NLR, and APACHE II scores, exhibiting correlations with prognosis in elderly COPD patients with respiratory failure, can serve as valuable biomarkers for patient prognosis.
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Affiliation(s)
| | - Peisheng Sun
- The First Affiliated Hospital of Xinxiang Medical University Xinxiang 45300, Henan, China
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8
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Ergun MC, Aktas E, Sahin AT, İyisoy MS, Alsancak Y, Tunc R. Systemic Immune-Inflammation Index as a Potential Biomarker for Assessing Disease Activity and Predicting Proteinuria Development in Systemic Lupus Erythematosus. Cureus 2024; 16:e63401. [PMID: 39070439 PMCID: PMC11283863 DOI: 10.7759/cureus.63401] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/28/2024] [Indexed: 07/30/2024] Open
Abstract
Background Systemic lupus erythematosus (SLE) is a complex autoimmune disease with varied clinical manifestations affecting multiple organ systems. This study aimed to investigate the association between the systemic immune-inflammation index (SII) and disease activity, as well as proteinuria levels in patients with SLE. Methodology A total of 141 patients diagnosed with SLE and 99 control subjects were included in this retrospective study. SLE patients were divided into two groups based on the presence (52) or absence (89) of proteinuria. Demographic data, laboratory parameters, and disease activity scores were recorded. SII was calculated based on peripheral blood counts. Statistical analysis was performed to assess the relationship between SII levels and disease activity, as well as proteinuria. Results The statistical analysis among the three groups revealed that SII was significantly different in all three groups (p < 0.001). Moreover, within the SLE cohort, patients with proteinuria had significantly higher SII levels compared to those without proteinuria (p = 0.012). Correlation analysis revealed a positive association between SII and both proteinuria and Systemic Lupus Erythematosus Disease Activity Index 2000 (r = 0.215; p = 0.011 and r = 0.186; p = 0.028, respectively). Receiver operating characteristic analysis demonstrated that SII had potential clinical value in diagnosing SLE and predicting proteinuria development. Conclusions The findings of this study suggest that SII may serve as a useful biomarker for assessing disease activity and predicting proteinuria development in patients with SLE. Further research is warranted to validate these findings and explore the utility of SII in clinical practice for monitoring disease progression and treatment response in SLE.
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Affiliation(s)
- Mustafa C Ergun
- Department of Rheumatology, Numune State Hospital, Konya, TUR
| | - Eda Aktas
- Department of Internal Medicine, Necmettin Erbakan University, Meram Medical Faculty, Konya, TUR
| | - Ahmet T Sahin
- Department of Cardiology, Beyhekim Training and Research Hospital, Konya, TUR
| | - Mehmet Sinan İyisoy
- Department of Medical Education, Necmettin Erbakan University, Meram Medical Faculty, Konya, TUR
| | - Yakup Alsancak
- Department of Cardiology, Necmettin Erbakan University, Meram Medical Faculty, Konya, TUR
| | - Recep Tunc
- Department of Rheumatology, Necmettin Erbakan University, Meram Medical Faculty, Konya, TUR
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Zhou Z, Wang Y, Zhang J, Liu Z, Hao X, Wang X, He S, Wang R. Characterization of PANoptosis-related genes and the immune landscape in moyamoya disease. Sci Rep 2024; 14:10278. [PMID: 38704490 PMCID: PMC11069501 DOI: 10.1038/s41598-024-61241-w] [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: 11/21/2023] [Accepted: 05/02/2024] [Indexed: 05/06/2024] Open
Abstract
Moyamoya disease (MMD) is a cerebrovascular narrowing and occlusive condition characterized by progressive stenosis of the terminal portion of the internal carotid artery and the formation of an abnormal network of dilated, fragile perforators at the base of the brain. However, the role of PANoptosis, an apoptotic mechanism associated with vascular disease, has not been elucidated in MMD. In our study, a total of 40 patients' genetic data were included, and a total of 815 MMD-related differential genes were screened, including 215 upregulated genes and 600 downregulated genes. Among them, DNAJA3, ESR1, H19, KRT18 and STK3 were five key genes. These five key genes were associated with a variety of immune cells and immune factors. Moreover, GSEA (gene set enrichment analysis) and GSVA (gene set variation analysis) showed that the different expression levels of the five key genes affected multiple signaling pathways associated with MMD. In addition, they were associated with the expression of MMD-related genes. Then, based on the five key genes, a transcription factor regulatory network was constructed. In addition, targeted therapeutic drugs against MMD-related genes were obtained by the Cmap drug prediction method: MST-312, bisacodyl, indirubin, and tropanyl-3,5-dimethylbenzoate. These results suggest that the PANoptosis-related genes may contribute to the pathogenesis of MMD through multiple mechanisms.
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Affiliation(s)
- Zhenyu Zhou
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
| | - Yanru Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
| | - Junze Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
| | - Ziqi Liu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
| | - Xiaokuan Hao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
| | - Xilong Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
| | - Shihao He
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China.
- Department of Neurosurgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, 100730, China.
| | - Rong Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China.
- China National Clinical Research Center for Neurological Diseases, Beijing, 100070, China.
- Collaborative Innovation Center for Brain Disorders, Beijing Institute of Brain Disorders, Capital Medical University, Beijing, 100069, China.
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Kurisu K, Osanai T, Morishima Y, Ito M, Uchino H, Sugiyama T, Fujimura M. Systemic immune-inflammation index in dural arteriovenous fistula: a feasible biomarker reflecting its clinical characteristics. Acta Neurochir (Wien) 2024; 166:180. [PMID: 38627314 DOI: 10.1007/s00701-024-06075-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Accepted: 04/05/2024] [Indexed: 04/19/2024]
Abstract
PURPOSE The systemic immune-inflammation index (SII), a marker of systemic inflammation, can be calculated using peripheral blood tests. Although the SII has been reported as a feasible biomarker in various cerebrovascular diseases, no studies have explored in dural arteriovenous fistula (DAVF). A retrospective cohort study was performed to test whether the SII reflects the clinical characteristics of DAVF and whether this index could serve as a feasible biomarker. METHODS This study included 28 patients who underwent endovascular treatment (39 sessions) for DAVF between 2014 and 2023. The SII was calculated using the following formula: platelet count multiplied by neutrophil count divided by lymphocyte count. We investigated the correlation between the SII and various clinical characteristics of DAVF, including symptom manifestation, and digital subtraction angiography findings. Additionally, we compared pre- and post-endovascular treatment changes in the SII. RESULTS A significantly higher SII was observed in patients with multiple lesions, clinical symptoms (particularly aggressive symptoms), pseudophelebitic pattern (PPP), and sinus occlusion. Multivariate regression analysis revealed that the presence of symptoms (coefficient 270.9, P = 0.021) and PPP (coefficient 272.4, P = 0.017) were independent factors contributing to SII elevation. Notably, following endovascular treatment, there was a significant decrease in the elevated SII in patients whose symptoms resolved (P = 0.039) and where the DAVF was angiographically cured (P = 0.012). CONCLUSION Elevation of the SII in patients with advanced DAVF and its decrease following endovascular treatment suggests that the SII reflects the disease condition and indicates its potential as a promising biomarker.
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Affiliation(s)
- Kota Kurisu
- Department of Neurosurgery, Hokkaido University Graduate School of Medicine, Kita 15, Nishi 7, Kita-ku, Sapporo, Hokkaido, 060-8638, Japan.
| | - Toshiya Osanai
- Department of Neurosurgery, Hokkaido University Graduate School of Medicine, Kita 15, Nishi 7, Kita-ku, Sapporo, Hokkaido, 060-8638, Japan
| | - Yutaka Morishima
- Department of Neurosurgery, Hokkaido University Graduate School of Medicine, Kita 15, Nishi 7, Kita-ku, Sapporo, Hokkaido, 060-8638, Japan
| | - Masaki Ito
- Department of Neurosurgery, Hokkaido University Graduate School of Medicine, Kita 15, Nishi 7, Kita-ku, Sapporo, Hokkaido, 060-8638, Japan
| | - Haruto Uchino
- Department of Neurosurgery, Hokkaido University Graduate School of Medicine, Kita 15, Nishi 7, Kita-ku, Sapporo, Hokkaido, 060-8638, Japan
| | - Taku Sugiyama
- Department of Neurosurgery, Hokkaido University Graduate School of Medicine, Kita 15, Nishi 7, Kita-ku, Sapporo, Hokkaido, 060-8638, Japan
| | - Miki Fujimura
- Department of Neurosurgery, Hokkaido University Graduate School of Medicine, Kita 15, Nishi 7, Kita-ku, Sapporo, Hokkaido, 060-8638, Japan
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Ge P, Tao C, Wang W, He Q, Liu C, Zheng Z, Mou S, Zhang B, Liu X, Zhang Q, Wang R, Li H, Zhang D, Zhao J. Circulating immune cell landscape and T-cell abnormalities in patients with moyamoya disease. Clin Transl Med 2024; 14:e1647. [PMID: 38566524 PMCID: PMC10988118 DOI: 10.1002/ctm2.1647] [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: 10/24/2023] [Revised: 02/23/2024] [Accepted: 03/17/2024] [Indexed: 04/04/2024] Open
Abstract
BACKGROUND Moyamoya disease (MMD) stands as a prominent cause of stroke among children and adolescents in East Asian populations. Although a growing body of evidence suggests that dysregulated inflammation and autoimmune responses might contribute to the development of MMD, a comprehensive and detailed understanding of the alterations in circulating immune cells associated with MMD remains elusive. METHODS In this study, we employed a combination of single-cell RNA sequencing (scRNA-seq), mass cytometry and RNA-sequencing techniques to compare immune cell profiles in peripheral blood samples obtained from patients with MMD and age-matched healthy controls. RESULTS Our investigation unveiled immune dysfunction in MMD patients, primarily characterized by perturbations in T-cell (TC) subpopulations, including a reduction in effector TCs and an increase in regulatory TCs (Tregs). Additionally, we observed diminished natural killer cells and dendritic cells alongside heightened B cells and monocytes in MMD patients. Notably, within the MMD group, there was an augmented proportion of fragile Tregs, whereas the stable Treg fraction decreased. MMD was also linked to heightened immune activation, as evidenced by elevated expression levels of HLA-DR and p-STAT3. CONCLUSIONS Our findings offer a comprehensive view of the circulating immune cell landscape in MMD patients. Immune dysregulation in patients with MMD was characterized by alterations in T-cell populations, including a decrease in effector T-cells and an increase in regulatory T-cells (Tregs), suggest a potential role for disrupted circulating immunity in the aetiology of MMD.
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12
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Zhang B, Li J, Zeng C, Tao C, He Q, Liu C, Zheng Z, Zhao Z, Mou S, Sun W, Wang J, Zhang Q, Wang R, Zhang Y, Ge P, Zhang D. Nonalcoholic fatty liver disease is an independent risk factor for ischemic stroke after revascularization in patients with Moyamoya disease: a prospective cohort study. Lipids Health Dis 2024; 23:80. [PMID: 38494486 PMCID: PMC10944598 DOI: 10.1186/s12944-024-02065-5] [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: 10/16/2023] [Accepted: 02/27/2024] [Indexed: 03/19/2024] Open
Abstract
BACKGROUND The study aimed to investigate the association between nonalcoholic fatty liver disease (NAFLD) and ischemic stroke events after revascularization in patients with Moyamoya disease (MMD). METHODS This study prospectively enrolled 275 MMD patients from September 2020 to December 2021. Patients with alcoholism and other liver diseases were excluded. NAFLD was confirmed by CT imaging or abdominal ultrasonography. Stroke events and modified Rankin Scale (mRS) scores at the latest follow-up were compared between the two groups. RESULTS A total of 275 patients were enrolled in the study, among which 65 were diagnosed with NAFLD. Univariate logistic regression analysis showed that NAFLD (P = 0.029) was related to stroke events. Multivariate logistic regression analysis showed that NAFLD is a predictor of postoperative stroke in MMD patients (OR = 27.145, 95% CI = 2.031-362.81, P = 0.013). Kaplan-Meier analysis showed that compared with MMD patients with NAFLD, patients in the control group had a longer stroke-free time (P = 0.004). Univariate Cox analysis showed that NAFLD (P = 0.016) was associated with ischemic stroke during follow-up in patients with MMD. Multivariate Cox analysis showed that NAFLD was an independent risk factor for stroke in patients with MMD (HR = 10.815, 95% CI = 1.259-92.881, P = 0.030). Furthermore, fewer patients in the NAFLD group had good neurologic status (mRS score ≤ 2) than the control group (P = 0.005). CONCLUSION NAFLD was an independent risk factor for stroke in patients with MMD after revascularization and worse neurological function outcomes.
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Affiliation(s)
- Bojian Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Junsheng Li
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Chaofan Zeng
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Chuming Tao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Qiheng He
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Chenglong Liu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Zhiyao Zheng
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Zhikang Zhao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Siqi Mou
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Wei Sun
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Jia Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Qian Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Rong Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Yan Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Peicong Ge
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China.
- China National Clinical Research Center for Neurological Diseases, Beijing, China.
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China.
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China.
| | - Dong Zhang
- Department of Neurosurgery, Beijing Hospital, National Center of Gerontology, Beijing, 100730, China.
- Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.
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