Metabolic Syndrome and Autophagy: Focus on HMGB1 Protein

Frisardi, Vincenza; Matrone, Carmela; Street, Maria Elisabeth

doi:10.3389/fcell.2021.654913

Cited by 15 publications

(7 citation statements)

References 110 publications

(136 reference statements)

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“…The presence of increased adipose tissue has an adverse effect on immune cells. In obese individuals macrophages in the adipose tissue can switch from an anti-inflammatory “M2” (alternatively activated) to a proinflammatory “M1” (classically activated) state and secrete several cytokines (including TNF-α, IL-6, HMGB1) 38 . TNF-α overexpression plays a crucial role in the development of insulin resistance which is an important component of MetS, and some research suggested that TNF-α could be an early predictor for MetS detection 8 .…”

Section: Discussionmentioning

confidence: 99%

Assessment of metabolic syndrome predictors in relation to inflammation and visceral fat tissue in older adults

Tylutka

Morawin

Walas

et al. 2023

Sci Rep

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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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Section: Discussionmentioning

confidence: 99%

Assessment of metabolic syndrome predictors in relation to inflammation and visceral fat tissue in older adults

Tylutka

Morawin

Walas

et al. 2023

Sci Rep

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“…PPARA is activated in response to fasting and integrates energy metabolism with the clock. Lastly, gene set enrichment analysis (GSEA) further implicated HMGB1, a multifunction transcription factor that regulates chromatin integrity, autophagy, and inflammation 41 , in the modulation of 36 TRF-responsive genes (13.6% of total genes in set; FDR qvalue=2.47E-8); whereas another set of 33 DEGs (12.5 %) were enriched for PAX4 (FDR qvalue=2.47E-08), a transcription factor also implicated in circadian regulation 42 .…”

Section: Resultsmentioning

confidence: 99%

Circadian modulation by time-restricted feeding restores brain transcription and slows amyloid deposition in a mouse model of Alzheimer’s disease

Whittaker

Akhmetova

Romero

et al. 2022

Preprint

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Alzheimer′s disease (AD) is a tragic neurodegenerative disease affecting more than 5 million Americans. Circadian disruptions impact nearly all AD patients, with reversal of sleep/wake cycles and agitation in the evening being common disturbances that manifest early in disease. These alterations support a role for circadian dysfunction as a driver of AD, emphasizing a critical need to investigate the therapeutic potential of circadian-modulating interventions. One of the most powerful regulators of the circadian system is the daily feed/fast cycle. Here we show that time-restricted feeding (TRF) without caloric restriction, improved key disease components including behavior, disease pathology and transcription in the APP23 mouse model of Alzheimer′s disease. We found that TRF had the remarkable capability of simultaneously reducing amyloid deposition, increasing Aβ42 clearance, improving sleep and hyperactivity, and normalizing transcription of circadian, AD and neuroinflammation-associated genes in APP23 mice. Thus, our study unveils for the first time that circadian modulation through timed feeding has far-reaching effects beyond metabolism and affects the brain as the substrate for neurodegeneration. Since the pleiotropic effects of TRF can substantially modify disease trajectory, this intervention has immediate translational value, addressing the crucial need for accessible approaches to reduce or halt AD progression.

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“…While under various stresses, HMGB1 is transferred from the nucleus to the cytoplasm, and its extracellular transport mainly depends on the active secretion of living inflammatory cells (such as macrophages) or the passive release of necrotic cells [76]. In the aspect of autophagy, HMGB1 is generally regarded as an autophagy inducing factor [77], and cytosolic HMGB1 promotes autophagy by directly binding to beclin-1 [78], contrary to the phenomenon studied by Chen et al [68]. This may be related to the potential role of lncRNAs.…”

Section: Lncrnas Regulate Autophagy Pathway In Pcmentioning

confidence: 99%

LncRNAs as nodes for the cross-talk between autophagy and Wnt signaling in pancreatic cancer drug resistance

Huang,

Zhang,

Lyu

et al. 2024

Int. J. Biol. Sci.

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Pancreatic cancer is a malignancy with high mortality. In addition to the few symptoms until the disease reaches an advanced stage, the high fatality rate is attributed to its rapid development, drug resistance and lack of appropriate treatment. In the selection and research of therapeutic drugs, gemcitabine is the first-line drug for pancreatic cancer. Solving the problem of gemcitabine resistance in pancreatic cancer will contribute to the progress of pancreatic cancer treatment. Long non coding RNAs (lncRNAs), which are RNA transcripts longer than 200 nucleotides, play vital roles in cellular physiological metabolic activities. Currently, our group and others have found that some lncRNAs are aberrantly expressed in pancreatic cancer cells, which can regulate the process of cancer through autophagy and Wnt/β-catenin pathways simultaneously and affect the sensitivity of cancer cells to therapeutic drugs. This review presents an overview of the recent evidence concerning the node of lncRNA for the cross-talk between autophagy and Wnt/β-catenin signaling in pancreatic cancer, together with the practicability of lncRNAs and the core regulatory factors as targets in therapeutic resistance.

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Metabolic Syndrome and Autophagy: Focus on HMGB1 Protein

Cited by 15 publications

References 110 publications

Assessment of metabolic syndrome predictors in relation to inflammation and visceral fat tissue in older adults

Assessment of metabolic syndrome predictors in relation to inflammation and visceral fat tissue in older adults

Circadian modulation by time-restricted feeding restores brain transcription and slows amyloid deposition in a mouse model of Alzheimer’s disease

LncRNAs as nodes for the cross-talk between autophagy and Wnt signaling in pancreatic cancer drug resistance

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