Circulating levels of adipose tissue-derived inflammatory factors in elderly diabetes patients with carotid atherosclerosis: a retrospective study

Yang, Wei; Li, Yun; Wang, Jieyu; Huang, Rui; Wang, Li

doi:10.1186/s12933-018-0723-y

Cited by 25 publications

(22 citation statements)

References 47 publications

(47 reference statements)

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“…fat-related in ammatory markers such as IL-6 and leptin, play an important role in atherosclerosis including initial activation of endothelial cells, through atherosclerotic progression and, ultimately, its nal complication, thrombosis 39 . As was shown in a cohort of elderly patients with type 2 diabetes, adipose tissue-derived in ammatory factors resistin, vaspin and visfatin were associated with pathogenesis of carotid atherosclerosis 40 . Third, visceral abdominal fat has a direct circulatory connection to the liver.…”

Section: Discussionmentioning

confidence: 64%

Long-Term Trajectories of BMI Predict Carotid Stiffness and Plaque Volume in Type 2 Diabetes Older Adults: a Cohort Study.

Moshe

Haratz

Ravona‐Springer

et al. 2020

Preprint

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Background: High body mass index (BMI) is a risk factor for type 2 diabetes and cardiovascular disease. However, its relationships with indices of carotid stiffness and plaque volume are unclear. We investigated associations of long-term measurements of BMI with indices of carotid stiffness and atherosclerosis among non-demented diabetes patients from the Israel Diabetes and Cognitive Decline (IDCD) study. Methods: Carotid ultrasound indices [carotid intima media thickness (cIMT), distensibility, elastography and plaque volume] were assessed in N=471 participants. Mean BMI across all MHS diabetes registry measurements and trajectories of BMI were calculated. BMI was categorized into three trajectory groups representing: a relatively stable normal weight (n=185, 44%), overweight trajectory (n=188, 44.8%) and a trajectory of obesity (n=47, 11.2%). Linear and logistic regressions estimated associations of carotid indices with mean BMI and BMI trajectories. Results: Compared to the normal weight trajectory, an obesity trajectory was associated with carotid distensibility (β=-3.078, p=0.037), cIMT (β=0.095, p=0.004), and carotid elastography (β=0.181, p=0.004) but not with plaque volume (β=0.066, p=0.858). Compared with the normal weight trajectory, an obesity trajectory was associated with increased odds for impaired carotid distensibility (OR=2.790, p=0.033), impaired cIMT (OR=5.277, p=0.001) and large carotid plaque volume (OR=8.456, p=0.013) but not with carotid elastography (OR=1.956, p=0.140). Mean BMI was linearly associated with Distensibility (β=-0.275, p=0.005) and cIMT (β=0.005, p=0.026).Conclusions: Long-term measurements of adiposity are associated with indices of carotid stiffness and plaque volume among older type 2 diabetes adults.

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Section: Discussionmentioning

confidence: 64%

Long-Term Trajectories of BMI Predict Carotid Stiffness and Plaque Volume in Type 2 Diabetes Older Adults: a Cohort Study.

Moshe

Haratz

Ravona‐Springer

et al. 2020

Preprint

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“…in particular, it was identified that the majority of BPs were associated with 'inflammatory response', 'cellular response to cytokine stimulus' and 'lipid metabolic process'. In previous years, a number of studies have suggested that T2DM may be a chronic inflammatory response modulated by inflammatory factors (66)(67)(68)(69). Immune cell infiltration and high levels of cytokines were observed in the pancreas islets of T2dM (70,71), which caused differing degrees of impairment to pancreatic β-cell activity, resulting in β-cell failure (72,73).…”

Section: Discussionmentioning

confidence: 99%

Identification of potential markers for type 2 diabetes mellitus via bioinformatics analysis

Lü

2020

Mol Med Rep

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Type 2 diabetes mellitus (T2dM) is a multifactorial and multigenetic disease, and its pathogenesis is complex and largely unknown. in the present study, microarray data (GSe201966) of β-cell enriched tissue obtained by laser capture microdissection were downloaded, including 10 control and 10 type 2 diabetic subjects. a comprehensive bioinformatics analysis of microarray data in the context of protein-protein interaction (PPi) networks was employed, combined with subcellular location information to mine the potential candidate genes for T2dM and provide further insight on the possible mechanisms involved. First, differential analysis screened 108 differentially expressed genes. Then, 83 candidate genes were identified in the layered network in the context of PPi via network analysis, which were either directly or indirectly linked to T2dM. of those genes obtained through literature retrieval analysis, 27 of 83 were involved with the development of T2dM; however, the rest of the 56 genes need to be verified by experiments. The functional analysis of candidate genes involved in a number of biological activities, demonstrated that 46 upregulated candidate genes were involved in 'inflammatory response' and 'lipid metabolic process', and 37 downregulated candidate genes were involved in 'positive regulation of cell death' and 'positive regulation of cell proliferation'. These candidate genes were also involved in different signaling pathways associated with 'Pi3K/akt signaling pathway', 'Rap1 signaling pathway', 'Ras signaling pathway' and 'MAPK signaling pathway', which are highly associated with the development of T2dM. Furthermore, a microrna (mir)-target gene regulatory network and a transcription factor-target gene regulatory network were constructed based on mirnet and networkanalyst databases, respectively. notably, hsa-mir-192-5p, hsa-mir-124-5p and hsa-mir-335-5p appeared to be involved in T2dM by potentially regulating the expression of various candidate genes, including procollagen c-endopeptidase enhancer 2, connective tissue growth factor and family with sequence similarity 105, member a, protein phosphatase 1 regulatory inhibitor subunit 1 a and cc motif chemokine receptor 4. Smad5 and Bcl6, as transcription factors, are regulated by ankyrin repeat domain 23 and transmembrane protein 37, respectively, which might also be used in the molecular diagnosis and targeted therapy of T2dM. Taken together, the results of the present study may offer insight for future genomic-based individualized treatment of T2dM and help determine the underlying molecular mechanisms that lead to T2dM.

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“…The pathophysiological links mediating this cross-talk between micro- and macrovascular complications possibly involve shared pathways such as insulin resistance, low-grade chronic inflammation, increased oxidative stress, and endothelial dysfunction [51]. Indeed, several adipose tissue-derived inflammatory factors were associated with the severity of carotid atherosclerosis in type 2 diabetic patients [52].…”

Section: Discussionmentioning

confidence: 99%

Prognostic impact of carotid intima-media thickness and carotid plaques on the development of micro- and macrovascular complications in individuals with type 2 diabetes: the Rio de Janeiro type 2 diabetes cohort study

Cardoso

Salles

Leite

et al. 2019

Cardiovasc Diabetol

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BackgroundThe prognostic importance of carotid atherosclerosis in individuals with diabetes is unsettled. We aimed to evaluate the relationships between parameters of carotid atherosclerosis and the future occurrence of micro- and cardiovascular complications in individuals with type 2 diabetes.MethodsUltrasonographic parameters of carotid atherosclerosis, intima-media thickness (CIMT) and plaques, were measured at baseline in 478 participants who were followed-up for a median of 10.8 years. Multivariate Cox analysis was used to examine the associations between carotid parameters and the occurrence of microvascular (retinopathy, renal, and peripheral neuropathy) and cardiovascular complications (total cardiovascular events [CVEs] and cardiovascular mortality), and all-cause mortality. The improvement in risk stratification was assessed by using the C-statistic and the integrated discrimination improvement (IDI) index.ResultsDuring follow-up, 116 individuals had a CVE and 115 individuals died (56 from cardiovascular diseases); 131 newly-developed or worsened diabetic retinopathy, 156 achieved the renal composite outcome (94 newly developed microalbuminuria and 78 deteriorated renal function), and 83 newly-developed or worsened peripheral neuropathy. CIMT, either analysed as a continuous or as a categorical variable, and presence of plaques predicted CVEs occurrence and renal outcomes, but not mortality or other microvascular complications. Individuals with an increased CIMT and plaques had a 1.5- to 1.8-fold increased risk of CVEs and a 1.6-fold higher risk of renal outcome. CIMT and plaques modestly improved cardiovascular risk discrimination over classic risk factors, with IDIs ranging from 7.8 to 8.4%; but more markedly improved renal risk discrimination, with IDIs from 14.8 to 18.5%.ConclusionsCarotid atherosclerosis parameters predicted cardiovascular and renal outcomes, and improved renal risk stratification. Ultrasonographic carotid imaging may be useful in type 2 diabetes management.

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Circulating levels of adipose tissue-derived inflammatory factors in elderly diabetes patients with carotid atherosclerosis: a retrospective study

Cited by 25 publications

References 47 publications

Long-Term Trajectories of BMI Predict Carotid Stiffness and Plaque Volume in Type 2 Diabetes Older Adults: a Cohort Study.

Long-Term Trajectories of BMI Predict Carotid Stiffness and Plaque Volume in Type 2 Diabetes Older Adults: a Cohort Study.

Identification of potential markers for type 2 diabetes mellitus via bioinformatics analysis

Prognostic impact of carotid intima-media thickness and carotid plaques on the development of micro- and macrovascular complications in individuals with type 2 diabetes: the Rio de Janeiro type 2 diabetes cohort study

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