The role of galectin‐3 in heart failure and cardiovascular disease

Zhong, Xiao Yan; Qian, Xiaoqian; Chen, Guangping; Song, Xiang

doi:10.1111/1440-1681.13048

Cited by 68 publications

(62 citation statements)

References 80 publications

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“…Several of these factors are elevated in the plasma of untreated people living with HIV and, to a lesser degree, those on ART ( 27 – 29 ). Furthermore, many of these factors are shown to be involved in modulating metabolism and inflammation, directly involved in HIV replication, and linked to comorbidities in the general population ( 30 – 52 ). We investigated these immunomodulatory factors in addition to biomarkers traditionally associated with the VACS Index in a cohort of older adults living with HIV (over the age of 60) with long-term viral suppression to better understand the relationship between aging, HIV, and inflammation.…”

Section: Introductionmentioning

confidence: 99%

Associations Between Plasma Immunomodulatory and Inflammatory Mediators With VACS Index Scores Among Older HIV-Infected Adults on Antiretroviral Therapy

et al. 2020

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The prevalence of age-related comorbidities is increased in people living with HIV, even in those well-controlled on combination antiretroviral therapy (ART). Persistent immune activation and inflammation may play pivotal roles in the pathogenesis; however, the burden of morbidities in the older HIV infected population may be exacerbated and driven by distinct mechanisms. In a cross sectional study of 45 HIV-infected participants 60 years or older, we examined the relationships between 14 immunomodulatory and inflammatory factors and the Veterans Aging Cohort Study (VACS) Index, a metric of multimorbidity and mortality comprised of age, CD4 count, hemoglobin, Fibrosis-4 [FIB-4], and estimated glomerular filtration rate [eGFR], by linear regression analysis. All participants were virally suppressed (<50 HIV RNA copies/mL), on ART, and primarily Caucasian (86.7%), and male (91.1%). Plasma levels of monocyte/macrophage-associated (neopterin, IP-10, sCD163, sCD14, and MCP-1) and glycan-binding immunomodulatory factors (galectin (Gal)-1, Gal-3, and Gal-9) were assessed, as well as inflammatory biomarkers previously linked to the VACS Index (i.e., CRP, cystatin C, TNF-α, TNFRI, IL-6, and D-dimer) for comparison. In regression analysis, higher VACS index scores were associated with higher levels of neopterin, cystatin C, TNFRI, and Gal-9 (all p < 0.05), potentially driven by correlations found with individual VACS components, including age, CD4 count, FIB-4, and eGFR. Gal-9, cystatin C, and TNFRI directly correlated with the extent of multimorbidity. Multiple correlations among markers were observed, suggesting an interplay of overlapping, but distinct, pathways. Collectively, in addition to cystatin C and TNFRI, both galectin-9 and neopterin, independently emerged as novel fluid markers of the VACS Index and Premeaux et al. Immunomodulatory Factors and HIV Comorbidities burden of comorbidity and may further guide in understanding pathogenic mechanisms of age-related disorders in older HIV-infected individuals on suppressive ART.

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Section: Introductionmentioning

confidence: 99%

Associations Between Plasma Immunomodulatory and Inflammatory Mediators With VACS Index Scores Among Older HIV-Infected Adults on Antiretroviral Therapy

et al. 2020

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“…Similarly, Prkaca, an important metabolic gene, has also been shown to play an important function during CVD (Bers, 2008;Diviani et al, 2011;Turnham and Scott, 2016). Lgals3, related to acute inflammation response, has been studied intensively in recent years as a key gene in CVD, and as a potential CVD therapy target (Suthahar et al, 2018;Zhong et al, 2019). Lastly, Pprc1, as important regulator of mitochondrial biogenesis, has not been explored for its direct relationship with CVD; however, mitochondrial biogenesis appears to be an important response to CVD (Piantadosi and Suliman, 2012;Ren et al, 2010;Siasos et al, 2018).…”

Section: Discussionmentioning

confidence: 99%

Integrative transcriptomic analysis of tissue-specific metabolic crosstalk after myocardial infarction

Arif

Klevstig

Benfeitas

et al. 2020

Preprint

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Myocardial infarction (MI) promotes a range of systemic effects, many of which are unknown. Here, we investigated the alterations associated with MI progression in heart and other metabolically active tissues (liver, skeletal muscle, and adipose) in a mouse model of MI (induced by ligating the left ascending coronary artery) and sham-operated mice. We performed a genome-wide transcriptomic analysis on tissue samples obtained 6- and 24-hours post MI or sham operation. By generating tissue-specific biological networks, we observed: (1) dysregulation in multiple biological processes (including immune system, mitochondrial dysfunction, fatty-acid beta-oxidation, and RNA and protein processing) across multiple tissues post MI; and (2) tissue-specific dysregulation in biological processes in liver and heart post MI. Finally, we validated our findings in independent MI cohorts, using both bulk and single-cell transcriptomic data. Overall, our integrative analysis highlighted both common and specific biological responses to MI across a range of metabolically active tissues.

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“…The most common systemic inflammation markers in modern risk stratification practice are High-sensitivity C-reactive Protein (hs-CRP), Lipoprotein-associated phospholipase A2 (Lp-PLA2) and Myeloperoxidase (MPO) [1,2]. Today, one of the most perspective markers are Growth Differentiation Factor 15 (GDF-15) [3,4], P-selectin [5] and Galectin-3 [6,7].…”

Section: Introductionmentioning

confidence: 99%

Interrelations Between Growth Differentiation Factor 15, P-Selectin and Galectin-3 and Clinical Course in Patients With Arterial Hypertension and Type 2 Diabetes Mellitus

Bilchenko

Vysotska

2020

EUREKA: Health Sciences

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The aim of our study was to determine the base levels of Growth Differentiation Factor 15, P-selectin and Galectin-3 in blood plasma in patients with AH and T2DM and to assess their association with the diseases clinical course. Materials and methods. A total of 121 patients were included in our study (60 female and 61 male, mean age 64.7±10.6 years, with AH and/or T2DM). Patients were divided into three groups: 1st group with AH only (51 patient), 2nd group with AH and T2DM (57 patients) and 3rd group with T2DM only (13 patients, control group). GDF-15, Galectin-3 and P-selectin tests were performed using standard enzyme-linked immunosorbent assay kits (ELISA). Results. Compared with AH without T2DM and T2DM only groups, AH with T2DM group had a statistically significant higher level of GDF-15. Grade 3 hypertension group had a significantly lower level of GDF-15 compared with Grade 1&2 hypertension groups. P-selectin mean level was significantly higher in Grade 3 hypertension group GDF-15 compared with Grade 1&2 hypertension groups. We observed weak correlation between Galectin-3 and GDF-15 in blood plasma, which was confirmed by linear regression analysis. Conclusions. A combination of hypertension and type 2 diabetes mellitus revealed a significant increase of GDF-15 levels in compare with patients with only hypertension or type 2 diabetes mellitus, which may be due to a greater response to oxidative stress and low-intensity systemic inflammation. P-selectin mean level was higher in patients with grade 3 hypertension, which reflects a greater platelet activation as a part of the systemic inflammatory response. Galectin-3 mean level was higher in patients with stage 3 hypertension compared with patients with stages 1 and 2 due to possibly more pronounced fibrosis progression.

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The role of galectin‐3 in heart failure and cardiovascular disease

Cited by 68 publications

References 80 publications

Associations Between Plasma Immunomodulatory and Inflammatory Mediators With VACS Index Scores Among Older HIV-Infected Adults on Antiretroviral Therapy

Associations Between Plasma Immunomodulatory and Inflammatory Mediators With VACS Index Scores Among Older HIV-Infected Adults on Antiretroviral Therapy

Integrative transcriptomic analysis of tissue-specific metabolic crosstalk after myocardial infarction

Interrelations Between Growth Differentiation Factor 15, P-Selectin and Galectin-3 and Clinical Course in Patients With Arterial Hypertension and Type 2 Diabetes Mellitus

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