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Holgersen N, Nielsen VW, Rosenø NAL, Thyssen JP, Egeberg A, Nielsen SH, Ring HC, Thomsen SF. Biomarkers of systemic inflammation are associated with disease severity and metabolic syndrome in patients with hidradenitis suppurativa. JAAD Int 2024; 15:170-178. [PMID: 38638915 PMCID: PMC11025002 DOI: 10.1016/j.jdin.2024.03.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/03/2024] [Indexed: 04/20/2024] Open
Abstract
Background Biomarkers associated with disease severity and comorbid metabolic syndrome (MetS) in patients with hidradenitis suppurativa (HS) are lacking. Objective To identify biomarkers associated with disease severity and comorbid MetS in patients with HS. Methods Data on hospital outpatients with HS were obtained through clinical examination and interviews. Indicators of systemic inflammation; C-reactive protein (CRP), erythrocyte sedimentation-rate (ESR), neutrophil/lymphocyte-ratio (NLR), platelet/lymphocyte-ratio (PLR), monocyte/lymphocyte-ratio (MLR), platelet/neutrophil-ratio (PNR), pan-immune-inflammation-value (PIV), and systemic-immune-inflammatory-index (SII), were calculated from blood samples. Results Seven hundred patients were included; of those 444 (63.4%) and 256 (36.6%) were female and male, respectively, with a median age of 38.3 years (IQR = 27.9-51.0). Increasing CRP, ESR, NLR, PIV, and SII (P < .001) were significantly associated with increasing Hurley-stage and international hidradenitis suppurativa severity score system 4 (IHS4)-score in adjusted analysis. A doubling in CRP (OR 1.59 (1.36-1.85), P < .001), ESR (OR 1.39 (1.17-1.66), P < .001) and PIV (OR 1.41 (1.12-1.77) P = .002) was associated with MetS in adjusted analysis. ESR was the best estimator for severe IHS4-score (AUC = 0.72 (0.66-0.77), P < .001) and Hurley III (AUC = 0.79 (0.73-0.85), P < .001) whereas CRP was best for MetS (AUC = 0.67 (0.62-0.72), P < .001). Limitations Patients in a hospital setting tend to have more severe disease. Conclusion Biomarkers like CRP, ESR, and PIV measuring systemic inflammation were associated with disease severity and comorbid MetS in patients with HS.
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Affiliation(s)
- Nikolaj Holgersen
- Department of Dermato-Venereology & Wound Healing Centre, Bispebjerg Hospital, Copenhagen, Denmark
| | | | | | - Jacob P. Thyssen
- Department of Dermato-Venereology & Wound Healing Centre, Bispebjerg Hospital, Copenhagen, Denmark
| | - Alexander Egeberg
- Department of Dermato-Venereology & Wound Healing Centre, Bispebjerg Hospital, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | | | - Hans Christian Ring
- Department of Dermato-Venereology & Wound Healing Centre, Bispebjerg Hospital, Copenhagen, Denmark
| | - Simon Francis Thomsen
- Department of Dermato-Venereology & Wound Healing Centre, Bispebjerg Hospital, Copenhagen, Denmark
- Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark
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Zhong X, Qiang Y, Wang L, Zhang Y, Li J, Feng J, Cheng W, Tan L, Yu J. Peripheral immunity and risk of incident brain disorders: a prospective cohort study of 161,968 participants. Transl Psychiatry 2023; 13:382. [PMID: 38071240 PMCID: PMC10710500 DOI: 10.1038/s41398-023-02683-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 11/23/2023] [Accepted: 11/27/2023] [Indexed: 12/18/2023] Open
Abstract
Whether peripheral immunity prospectively influences brain health remains controversial. This study aims to investigate the longitudinal associations between peripheral immunity markers with incident brain disorders. A total of 161,968 eligible participants from the UK Biobank were included. We investigated the linear and non-linear effects of peripheral immunity markers including differential leukocytes counts, their derived ratios and C-reactive protein (CRP) on the risk of dementia, Parkinson's disease (PD), stroke, schizophrenia, bipolar affective disorder (BPAD), major depressive disorder (MDD) and anxiety, using Cox proportional hazard models and restricted cubic spline models. Linear regression models were used to explore potential mechanisms driven by brain structures. During a median follow-up of 9.66 years, 16,241 participants developed brain disorders. Individuals with elevated innate immunity markers including neutrophils, monocytes, platelets, neutrophil-to-lymphocyte ratio (NLR), and systemic immune-inflammation index (SII) had an increased risk of brain disorders. Among these markers, neutrophils exhibited the most significant correlation with risk of dementia (hazard ratio 1.08, 95% confidence interval 1.04-1.12), stroke (HR 1.06, 95% CI 1.03-1.09), MDD (HR 1.13, 95% CI 1.10-1.16) and anxiety (HR 1.07, 95% CI 1.04-1.10). Subgroup analysis revealed age-specific and sex-specific associations between innate immunity markers with risk of dementia and MDD. Neuroimaging analysis highlighted the associations between peripheral immunity markers and alterations in multiple cortical, subcortical regions and white matter tracts, typically implicated in dementia and psychiatric disorders. These findings support the hypothesis that neuroinflammation is important to the etiology of various brain disorders, offering new insights into their potential therapeutic approaches.
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Affiliation(s)
- Xiaoling Zhong
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
- Department of Neurology, Affiliated Qingdao Central Hospital of Qingdao University, Qingdao Cancer Hospital, Qingdao, China
| | - Yixuan Qiang
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological diseases, Shanghai, China
| | - Ling Wang
- Department of Neurology, Affiliated Qingdao Central Hospital of Qingdao University, Qingdao Cancer Hospital, Qingdao, China
| | - Yaru Zhang
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological diseases, Shanghai, China
| | - Jieqiong Li
- Department of Neurology, the Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Jianfeng Feng
- The Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
| | - Wei Cheng
- The Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
| | - Lan Tan
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China.
| | - Jintai Yu
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological diseases, Shanghai, China.
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Paniagua G, González-Blanco L, Sáiz PA, Moya-Lacasa C, Gutiérrez L, Martínez-Botía P, Dal Santo F, Jiménez-Treviño L, García-Portilla MP, Bobes J. Platelet and white blood-cell-based ratios: Differential inflammatory markers of severe mental disorders? SPANISH JOURNAL OF PSYCHIATRY AND MENTAL HEALTH 2023:S2950-2853(23)00008-X. [PMID: 38591835 DOI: 10.1016/j.sjpmh.2023.03.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Revised: 02/21/2023] [Accepted: 03/29/2023] [Indexed: 04/10/2024]
Abstract
INTRODUCTION Neutrophil/lymphocyte (NLR), monocyte/lymphocyte (MLR), and platelet/lymphocyte (PLR) ratios, and systemic inflammatory index (SII) represent peripheral markers of inflammation associated with different severe mental disorders. MATERIAL AND METHODS In this study, these parameters were analyzed in a sample of 622 participants [197 patients with major depressive disorder (MDD), 154 with bipolar disorder (BD), 176 with schizophrenia (SCH), and 95 healthy controls (HC)]. Sociodemographic and clinical data of patients were recorded. RESULTS Differences in age and sex were detected among groups (p<0.001), with SCH patients being younger and MDD patients being older. After stratifying by sex, these ratios were compared using the nonparametric ANCOVA (Quade's test) using age as a covariate. In males, no significant statistical differences were found between groups. However, differences were observed in MLR in the subgroup of females [MDD: 0.23 (SD=0.09); BD: 0.23 (SD=0.11); SCH: 0.24 (SD=0.11); HC: 0.29 (SD=0.13); F=5.376, p=0.001]. Post hoc testing revealed that there are MLR differences between HC versus MDD and between HC versus BD, with higher values in HC versus the other two groups. On the other hand, no differences were found in either males or females for any of the studied ratios, among the three diagnostic groups. CONCLUSIONS MLR is reduced in MDD and BD patients versus HC, but exclusively in the female group. However, based on the analyzed indices, it is not possible to differentiate among the three diagnostic groups of patients. As a limitation of this study, note that the effects of psychopharmacological treatments and smoking have not been controlled for.
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Affiliation(s)
- Gonzalo Paniagua
- Department of Psychiatry, Universidad de Oviedo, Oviedo, Spain; Instituto Universitario de Neurociencias del Principado de Asturias (INEUROPA), Oviedo, Spain; Servicio de Salud del Principado de Asturias (SESPA), Oviedo, Spain
| | - Leticia González-Blanco
- Department of Psychiatry, Universidad de Oviedo, Oviedo, Spain; Instituto Universitario de Neurociencias del Principado de Asturias (INEUROPA), Oviedo, Spain; Servicio de Salud del Principado de Asturias (SESPA), Oviedo, Spain; Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain
| | - Pilar A Sáiz
- Department of Psychiatry, Universidad de Oviedo, Oviedo, Spain; Instituto Universitario de Neurociencias del Principado de Asturias (INEUROPA), Oviedo, Spain; Servicio de Salud del Principado de Asturias (SESPA), Oviedo, Spain; Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain.
| | - Carlota Moya-Lacasa
- Department of Psychiatry, Universidad de Oviedo, Oviedo, Spain; Instituto Universitario de Neurociencias del Principado de Asturias (INEUROPA), Oviedo, Spain; Servicio de Salud del Principado de Asturias (SESPA), Oviedo, Spain
| | - Laura Gutiérrez
- Platelet Research Lab, Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain; Department of Medicine, Universidad de Oviedo, Oviedo, Spain
| | - Patricia Martínez-Botía
- Platelet Research Lab, Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain
| | - Francesco Dal Santo
- Department of Psychiatry, Universidad de Oviedo, Oviedo, Spain; Instituto Universitario de Neurociencias del Principado de Asturias (INEUROPA), Oviedo, Spain; Servicio de Salud del Principado de Asturias (SESPA), Oviedo, Spain; Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain
| | - Luis Jiménez-Treviño
- Department of Psychiatry, Universidad de Oviedo, Oviedo, Spain; Instituto Universitario de Neurociencias del Principado de Asturias (INEUROPA), Oviedo, Spain; Servicio de Salud del Principado de Asturias (SESPA), Oviedo, Spain; Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain
| | - María Paz García-Portilla
- Department of Psychiatry, Universidad de Oviedo, Oviedo, Spain; Instituto Universitario de Neurociencias del Principado de Asturias (INEUROPA), Oviedo, Spain; Servicio de Salud del Principado de Asturias (SESPA), Oviedo, Spain; Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain
| | - Julio Bobes
- Department of Psychiatry, Universidad de Oviedo, Oviedo, Spain; Instituto Universitario de Neurociencias del Principado de Asturias (INEUROPA), Oviedo, Spain; Servicio de Salud del Principado de Asturias (SESPA), Oviedo, Spain; Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain
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Wang P, Guo X, Zhou Y, Li Z, Yu S, Sun Y, Hua Y. Monocyte-to-high-density lipoprotein ratio and systemic inflammation response index are associated with the risk of metabolic disorders and cardiovascular diseases in general rural population. Front Endocrinol (Lausanne) 2022; 13:944991. [PMID: 36157453 PMCID: PMC9500229 DOI: 10.3389/fendo.2022.944991] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Accepted: 08/19/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND The present study aimed to clarify the effects of four inflammatory indicators (monocyte-to-high-density lipoprotein ratio [MHR], neutrophil-to-lymphocyte ratio [NLR], systematic immune-inflammation index [SII], and systemic inflammation response index [SIRI]) in evaluating the risk of metabolic diseases and cardiovascular disease (CVD), filling the gap of inflammation-metabolism system research in epidemiology. METHODS We conducted a cross-sectional study and multivariable logistic regression analysis to elucidate the association between inflammatory indicators and metabolic diseases and CVD risk. Metabolic diseases were defined as metabolic disorders (MetDs) or their components, such as metabolic syndrome (MetS), dyslipidemia, and central obesity. We calculated the Framingham risk score (FRS) to evaluate 10-year CVD risk. RESULTS Odds ratios for the third vs. the first tertile of MHR were 2.653 (95% confidence interval [CI], 2.142-3.286) for MetD, 2.091 (95% CI, 1.620-2.698) for MetS, 1.547 (95% CI, 1.287-1.859) for dyslipidemia, and 1.515 (95% CI, 1.389-1.652) for central obesity. Odds ratios for the third vs. the first tertile of SIRI were 2.092 (95% CI, 1.622-2.699) for MetD, 3.441 (95% CI, 2.917-4.058) for MetS, 1.417 (95% CI, 1.218-1.649) for dyslipidemia, and 2.080 (95% CI, 1.613-2.683) for central obesity. The odds ratio of a 10-year CVD risk of >30% for the third vs. the first tertile of MHR was 4.607 (95% CI, 2.648-8.017) and 3.397 (95% CI, 1.958-5.849) for SIRI. CONCLUSIONS MHR and SIRI had a significant association with MetD and its components, in which a higher level of MHR or SIRI tended to accompany a higher risk of metabolic diseases. Furthermore, they also correlated with CVD, and the increment of these indicators caused a gradually evaluated risk of 10-year CVD risk.
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Affiliation(s)
| | | | | | | | | | | | - Yu Hua
- *Correspondence: Yu Hua, ; Yingxian Sun,
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