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Vlachovsky SG, Azurmendi PJ, Oddo EM, Rodríguez RS, Di Ciano LA, Goette NP, Paz LA, Silberstein C, Ibarra FR. High sodium, rather than high blood pressure, induces immune cell activation and renal infiltration in ovariectomized adult Wistar rats. Biochem Biophys Res Commun 2024; 722:150147. [PMID: 38788356 DOI: 10.1016/j.bbrc.2024.150147] [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: 05/09/2024] [Revised: 05/14/2024] [Accepted: 05/19/2024] [Indexed: 05/26/2024]
Abstract
We used an animal model of salt-sensitive hypertension (SSH) in which ovariectomized (oVx) rats developed hypertension with high salt (HS) intake. Hypertension is accompanied by changes in the percentage of CD4+ T lymphocytes, immune CD45+ cell infiltration into renal tissue, and changes in Na+, K+- ATPase (NKA) expression in both renal tissue and peripheral blood mononuclear cells (PBMCs). To determine whether the observed changes resulted from HS intake, high blood pressure, or both, hydralazine (HDZ) was used to lower blood pressure. The oVx HS rats received two HDZ schedules either to prevent or to treat hypertension. NKA was overexpressed in the kidneys of all oVx groups and in PBMCs of oVx HS rats. This pattern was not altered with HDZ treatment. Changes in CD4+ T lymphocytes and renal infiltration of CD45+ cells were not reversed either. High salt, but not high blood pressure, induces immune cell activation and renal infiltration. Overexpressed NKA is the primary event, and HS is the perturbation to the system in this model of SSH, which resembles the postmenopausal state.
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Affiliation(s)
- Sandra G Vlachovsky
- Universidad de Buenos Aires, Instituto de Investigaciones Médicas A. Lanari, Laboratorio de Nefrología Experimental y Bioquímica Molecular, Combatientes de Malvinas 3150, Buenos Aires, 1427, Argentina; Universidad de Buenos Aires, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Instituto de Investigaciones Médicas A. Lanari, Combatientes de Malvinas 3150, Buenos Aires, 1427, Argentina.
| | - Pablo J Azurmendi
- Universidad de Buenos Aires, Instituto de Investigaciones Médicas A. Lanari, Laboratorio de Nefrología Experimental y Bioquímica Molecular, Combatientes de Malvinas 3150, Buenos Aires, 1427, Argentina; Universidad de Buenos Aires, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Instituto de Investigaciones Médicas A. Lanari, Combatientes de Malvinas 3150, Buenos Aires, 1427, Argentina.
| | - Elisabet M Oddo
- Universidad de Buenos Aires, Instituto de Investigaciones Médicas A. Lanari, Laboratorio de Nefrología Experimental y Bioquímica Molecular, Combatientes de Malvinas 3150, Buenos Aires, 1427, Argentina; Universidad de Buenos Aires, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Instituto de Investigaciones Médicas A. Lanari, Combatientes de Malvinas 3150, Buenos Aires, 1427, Argentina.
| | - Romina S Rodríguez
- Universidad de Buenos Aires, Instituto de Investigaciones Médicas A. Lanari, Laboratorio de Nefrología Experimental y Bioquímica Molecular, Combatientes de Malvinas 3150, Buenos Aires, 1427, Argentina; Universidad de Buenos Aires, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Instituto de Investigaciones Médicas A. Lanari, Combatientes de Malvinas 3150, Buenos Aires, 1427, Argentina.
| | - Luis A Di Ciano
- Universidad de Buenos Aires, Instituto de Investigaciones Médicas A. Lanari, Laboratorio de Nefrología Experimental y Bioquímica Molecular, Combatientes de Malvinas 3150, Buenos Aires, 1427, Argentina; Universidad de Buenos Aires, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Instituto de Investigaciones Médicas A. Lanari, Combatientes de Malvinas 3150, Buenos Aires, 1427, Argentina.
| | - Nora P Goette
- Universidad de Buenos Aires, Instituto de Investigaciones Médicas A. Lanari, Laboratorio Hematología Investigación, Combatientes de Malvinas 3150, Buenos Aires, 1427, Argentina; Universidad de Buenos Aires, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Instituto de Investigaciones Médicas A. Lanari, Combatientes de Malvinas 3150, Buenos Aires, 1427, Argentina.
| | - Leonardo A Paz
- Universidad de Buenos Aires, Instituto de Investigaciones Médicas A. Lanari, Servicio de Anatomía Patológica, Combatientes de Malvinas 3150, Buenos Aires, 1427, Argentina; Universidad de Buenos Aires, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Instituto de Investigaciones Médicas A. Lanari, Combatientes de Malvinas 3150, Buenos Aires, 1427, Argentina.
| | - Claudia Silberstein
- Universidad de Buenos Aires, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Facultad de Ciencias Médicas, Departamento de Ciencias Fisiológicas. Instituto de Fisiología y Biofísica B. Houssay (IFIBIO-Houssay), Laboratorio de Fisiología Renal, Paraguay 2155, piso 4, Buenos Aires, 1121, Argentina.
| | - Fernando R Ibarra
- Universidad de Buenos Aires, Instituto de Investigaciones Médicas A. Lanari, Laboratorio de Nefrología Experimental y Bioquímica Molecular, Combatientes de Malvinas 3150, Buenos Aires, 1427, Argentina; Universidad de Buenos Aires, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Instituto de Investigaciones Médicas A. Lanari, Combatientes de Malvinas 3150, Buenos Aires, 1427, Argentina; Universidad de Buenos Aires, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Facultad de Ciencias Médicas, Departamento de Ciencias Fisiológicas. Instituto de Fisiología y Biofísica B. Houssay (IFIBIO-Houssay), Laboratorio de Fisiología Renal, Paraguay 2155, piso 4, Buenos Aires, 1121, Argentina.
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Tylutka A, Morawin B, Walas Ł, Zembron-Lacny A. Does excess body weight accelerate immune aging? Exp Gerontol 2024; 187:112377. [PMID: 38346543 DOI: 10.1016/j.exger.2024.112377] [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: 11/26/2023] [Revised: 02/06/2024] [Accepted: 02/09/2024] [Indexed: 02/18/2024]
Abstract
BACKGROUND Overweight and obesity in older adults increase the risk of a range of comorbidities by sustaining chronic inflammation and thus enhancing immunosenescence. This study aimed to assess whether excess body mass affected disproportion in T lymphocytes. Therefore, the study was designed to explain whether excess body mass in older individuals affected the disproportion in numbers of T lymphocytes and whether anthropometric indices and immune risk profile expressed as CD4/CD8 ratio are diagnostically useful in the analysis of immunosenescence. MATERIALS & METHODS One hundred three individuals aged 73.6 ± 3.1 years were allocated to the normal body mass (body mass index (BMI) 18.5-24.9 kg/m2,n = 39), the pre-obesity (BMI 25.0-29.9 kg/m2, n = 44) or the obesity (BMI ≥30.0 kg/m2, n = 20) group, based on WHO recommendations. Details on the subjects' medical history and lifestyle were obtained by health questionnaire. Anthropometric analysis was performed by bioelectrical impedance method, biochemical analysis was made by the automatic analyzer and ELISA immunoassays, and T and B lymphocyte counts were determined by eight-parameter flow cytometry. Additionally, visceral adiposity index, body adiposity index (BAI), and body shape index (ABSI) were evaluated based on body circumference, BMI and lipid-lipoprotein profile measurements. RESULTS The highest percentage of CD3+CD4+ T lymphocytes (59.4 ± 12.6 %) and the lowest CD3+CD8+ T lymphocytes (31.6 ± 10.0 %) were noted in patients the obesity group. The highest cut-off value of 1.9 for CD4/CD8 ratio was recorded in the normal body mass vs pre-obesity model. CD4/CD8 ratio > 2.5 was recorded in >20 % of our pre-obesity and obesity groups while 64.5 % of the normal body mass group had CD4/CD8 ratio < 1. High diagnostic usefulness was demonstrated for both BAI and lipid accumulation product (LAP) (AUC values of ~0.800 and ~ 0.900 respectively) in three models: normal body mass vs pre-obesity, normal body mass vs obesity, and pre-obesity vs obesity. CONCLUSION The odds ratios (OR) for CD4/CD8 ratio in the normal body mass vs obesity model (OR = 16.1, 95%CI 3.8-93.6) indicated a potential diagnostic value of T lymphocytes for clinical prognosis of immune aging in relation to excess body weight in older adults. High values of AUC obtained for the following models: CD4/CD8 + BAI (AUC = 0.927), CD4/CD8 + LAP (AUC = 1.00), CD4/CD8 + ABSI (AUC = 0.865) proved to provide excellent discrimination between older adults with obesity and with normal body mass.
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Affiliation(s)
- Anna Tylutka
- Department of Applied and Clinical Physiology, Collegium Medicum University of Zielona Gora, Poland.
| | - Barbara Morawin
- Department of Applied and Clinical Physiology, Collegium Medicum University of Zielona Gora, Poland.
| | - Łukasz Walas
- Institute of Dendrology, Polish Academy of Sciences, Parkowa 5, 62-035 Kórnik, Poland.
| | - Agnieszka Zembron-Lacny
- Department of Applied and Clinical Physiology, Collegium Medicum University of Zielona Gora, Poland.
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Yihui C, Yanfeng G. Inflammatory markers in patients with hypertension. Br J Hosp Med (Lond) 2023; 84:1-8. [PMID: 37235676 DOI: 10.12968/hmed.2022.0531] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/28/2023]
Abstract
Hypertension is a chronic disease with high levels of morbidity and disability. Elevated blood pressure can lead to many complications and is the main risk factor for stroke, heart failure and nephropathy. Factors associated with hypertension and inflammatory response differ from those associated with vascular inflammation. The immune system plays a vital role in the pathophysiology of hypertension. Inflammation is particularly relevant in the progression of cardiovascular diseases, which has led to extensive research on inflammatory markers and indicators.
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Affiliation(s)
- Chen Yihui
- Department of General Practice, First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Gong Yanfeng
- Department of General Practice, First Affiliated Hospital of Nanchang University, Nanchang, China
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Assessment of metabolic syndrome predictors in relation to inflammation and visceral fat tissue in older adults. Sci Rep 2023; 13:89. [PMID: 36596839 PMCID: PMC9810713 DOI: 10.1038/s41598-022-27269-6] [Citation(s) in RCA: 19] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2022] [Accepted: 12/29/2022] [Indexed: 01/04/2023] Open
Abstract
The diagnosis of metabolic syndrome (MetS) focuses on the assessment of risk factors such as insulin resistance, dyslipidemia, central adiposity and elevated blood pressure. Evidence suggests that markers of systemic inflammation may also be included in the definition of MetS and play some role in its pathogenesis. The study was designed to evaluate low-grade inflammation status in older adults with MetS in relation to increased body fat tissue and an attempt was made to evaluate new predictors for MetS through the analysis of the ROC Curve. Ninety-six middle-aged (69.2 ± 4.9) individuals from University of Third Age (women n = 75 and men n = 21) were allocated to two groups: without metabolic syndrome (n = 37) and with metabolic syndrome (n = 59) according to International Diabetes Federation criteria in agreement with American Heart Association/National Heart, Lung and Blood Institute 2009. Participants' current health status was assessed using medical records from a routine follow-up visit to a primary care physician. Statistical analysis was performed using R studio software. Depending on the normal distribution, ANOVA or the Kruskal-Wallis test was used. The optimal threshold value for clinical stratification (cut-off value) was obtained by calculating the Youden index. The AUC was observed to be the highest for a new anthropometric index i.e. lipid accumulation product (0.820). Low-grade inflammation dominated in MetS group (BMI 28.0 ± 4.4 kg/m2, WHR 0.9 ± 0.1, FM 24.7 ± 7.9 kg) where significantly higher values of TNF-α (p = 0.027) and HGMB-1 protein (p = 0.011) were recorded.The optimal threshold values for immunological indices assessed as new predictors of the metabolic syndrome were: 93.4 for TNF-α, 88.2 for HGMB-1 protein and 1992.75 for ghrelin. High AUC values for these indices additionally confirmed their high diagnostic usefulness in MetS.
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Immunosenescence in Aging-Related Vascular Dysfunction. Int J Mol Sci 2022; 23:ijms232113269. [PMID: 36362055 PMCID: PMC9654630 DOI: 10.3390/ijms232113269] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 10/25/2022] [Accepted: 10/28/2022] [Indexed: 11/06/2022] Open
Abstract
The immunosenescence-related disproportion in T lymphocytes may have important consequences for endothelial dysfunction, which is a key event in vascular aging. The study was designed to assess the prognostic values of the inflammatory-immune profile to better predict and prevent vascular diseases associated with old age. Eighty individuals aged 70.9 ± 5.3 years were allocated to a low- (LGI) or high-grade inflammation (HGI) group based on CRP (<3 or ≥3 mg/L) as a conventional risk marker of cardiovascular diseases. Significant changes in inflammatory and endothelium-specific variables IL-1β, IL-6, TNFα, oxLDL, H2O2, NO, 3-nitrotyrosine, and endothelial progenitor cells (OR 7.61, 95% CI 2.56−29.05, p < 0.0001), confirmed their interplay in vascular inflammation. The flow-cytometry analysis demonstrated a high disproportion in T lymphocytes CD4+ and CD8+ between LGI and HGI groups. CRP was <3 mg/mL for the CD4/CD8 ratio within the reference values ≥ 1 or ≤2.5, unlike for the CD4/CD8 ratio < 1 and >2.5. The odds ratios for the distribution of CD4+ (OR 5.98, 95% CI 0.001−0.008, p < 0.001), CD8+ (OR 0.23, 95% CI 0.08−0.59, p < 0.01), and CD8CD45RO+ T naïve cells (OR 0.27, 95% CI 0.097−0.695, p < 0.01) and CD4/CD8 (OR 5.69, 95% CI 2.07−17.32, p < 0.001) indicated a potential diagnostic value of T lymphocytes for clinical prognosis in aging-related vascular dysfunction.
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Prognostic Values of Combined Ratios of White Blood Cells in Glioblastoma: A Retrospective Study. J Clin Med 2022; 11:jcm11123397. [PMID: 35743468 PMCID: PMC9225636 DOI: 10.3390/jcm11123397] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Revised: 06/02/2022] [Accepted: 06/07/2022] [Indexed: 12/20/2022] Open
Abstract
In some malignant tumours, the changes in neutrophil counts in relation to other blood cells are connected with unfavourable prognosis. Nevertheless, the prognostic value of the combinations of the haematological components in glioblastoma (GBM) remains under dispute. The clinical significance of the neutrophil-to-lymphocyte ratio (NLR), systemic immune inflammation index (SII), and systemic inflammation response index (SIRI) was investigated in our study. We retrospectively studied 358 patients (males n = 195; females n = 163) aged 59.9 ± 13.5 yrs with newly diagnosed glioma and admitted to the Neurosurgery Centre. Routine blood tests and clinical characteristics were recorded within the first hour of hospital admission. The inflammatory variables: NLR, SII and SIRI exceeded the reference values and were significantly elevated in Grade 3 and Grade 4 tumour. The Cox model analysis showed that the age ≥ 63 years, NLR ≥ 4.56 × 103/µL, SII ≥ 2003 × 103/µL and SIRI ≥ 3.03 × 103/µL significantly increased the risk of death in Grade 4 tumour patients. In the inflammatory variables, NLR demonstrated the highest impact on the survival time (HR 1.56; 95% CI 1.145–2.127; p = 0.005). In the first Polish study including GBM patients, the age in relation to simple parameters derived from complete blood cell count were found to have prognostic implications in the survival rate.
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Systemic Inflammatory Predictors of In-Hospital Mortality in COVID-19 Patients: A Retrospective Study. Diagnostics (Basel) 2022; 12:diagnostics12040859. [PMID: 35453906 PMCID: PMC9028043 DOI: 10.3390/diagnostics12040859] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 03/27/2022] [Accepted: 03/28/2022] [Indexed: 01/08/2023] Open
Abstract
The purpose of this study was to investigate whether routine blood tests and clinical characteristics can predict in-hospital mortality in COVID-19. Clinical data of 285 patients aged 59.7 ± 10.3 yrs. (males n = 189, females n = 96) were retrospectively collected from December 2020 to June 2021. Routine blood tests were recorded within the 1st hour of admission to hospital. The inflammatory variables, such as C-reactive protein (CRP), procalcitonin (PCT), neutrophils−lymphocyte ratio (NLR) and the systemic inflammatory index (SII), exceeded the reference values in all patients and were significantly higher in deceased patients (n = 108) compared to survivors (n = 177). The log-rank test for comparing two survival curves showed that patients aged ≥60.5 years, with PCT ≥ 0.188 ng/mL or NLR ≥ 11.57 103/µL were at a greater risk of death. NLR demonstrated a high impact on the COVID-19 mortality (HR 1.317; 95%CI 1.004−1.728; p < 0.05), whereas CRP and SII showed no effect (HR 1.000; 95%CI 1.000−1.004; p = 0.085 and HR 1.078; 95%CI 0.865−1.344; p = 0.503, respectively). In the first Polish study including COVID-19 patients, we demonstrated that age in relation to simple parameters derived from complete blood cell count has prognostic implications in the course of COVID-19 and can identify the patients at a higher risk of in-hospital mortality.
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