Sphingolipid metabolism plays a key role in diabetic peripheral neuropathy

Song, Lili; Han, Rui; Yin, Huajun; Li, Jingfang; Zhang, Yue; Wang, Jiayi; Bai, Junwei; Guo, Maojuan

doi:10.1007/s11306-022-01879-7

Cited by 12 publications

(7 citation statements)

References 49 publications

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“…In particular, T2DM DPN plasma analysis revealed a significant reduction in complex lipids, mainly acylcarnitine and sphingolipid species, compared to T2DM subjects without polyneuropathy. Thus, it seems that the disorder of DPN metabolism could be linked to sphingolipid metabolism [ 50 , 51 ]. Lipid metabolites could affect mitochondrial function within nerves through a bioenergetics overload, an impairment of the citric acid cycle, and a consequent reduction in both acylcarnitine and citrate levels, with a reduction in mitochondrial ATP production [ 50 , 51 ].…”

Section: Pathophysiology Of Peripheral Neuropathy In Diabetesmentioning

confidence: 99%

“…Thus, it seems that the disorder of DPN metabolism could be linked to sphingolipid metabolism [ 50 , 51 ]. Lipid metabolites could affect mitochondrial function within nerves through a bioenergetics overload, an impairment of the citric acid cycle, and a consequent reduction in both acylcarnitine and citrate levels, with a reduction in mitochondrial ATP production [ 50 , 51 ]. In addition, in preclinical models of nerve regeneration, Sphingosine-1-Phosphate, through the activation of its receptor, seems linked to the phosphorylation of collapsin response-mediated protein-2, which in turn induces the rapid retraction of neurites [ 52 ].…”

Section: Pathophysiology Of Peripheral Neuropathy In Diabetesmentioning

confidence: 99%

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Peripheral Neuropathy in Diabetes Mellitus: Pathogenetic Mechanisms and Diagnostic Options

Galiero

Caturano

Vetrano

et al. 2023

IJMS

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Diabetic neuropathy (DN) is one of the main microvascular complications of both type 1 and type 2 diabetes mellitus. Sometimes, this could already be present at the time of diagnosis for type 2 diabetes mellitus (T2DM), while it appears in subjects with type 1 diabetes mellitus (T1DM) almost 10 years after the onset of the disease. The impairment can involve both somatic fibers of the peripheral nervous system, with sensory-motor manifestations, as well as the autonomic system, with neurovegetative multiorgan manifestations through an impairment of sympathetic/parasympathetic conduction. It seems that, both indirectly and directly, the hyperglycemic state and oxygen delivery reduction through the vasa nervorum can determine inflammatory damage, which in turn is responsible for the alteration of the activity of the nerves. The symptoms and signs are therefore various, although symmetrical painful somatic neuropathy at the level of the lower limbs seems the most frequent manifestation. The pathophysiological aspects underlying the onset and progression of DN are not entirely clear. The purpose of this review is to shed light on the most recent discoveries in the pathophysiological and diagnostic fields concerning this complex and frequent complication of diabetes mellitus.

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Section: Pathophysiology Of Peripheral Neuropathy In Diabetesmentioning

confidence: 99%

Section: Pathophysiology Of Peripheral Neuropathy In Diabetesmentioning

confidence: 99%

Peripheral Neuropathy in Diabetes Mellitus: Pathogenetic Mechanisms and Diagnostic Options

Galiero

Caturano

Vetrano

et al. 2023

IJMS

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“…Metabolomics is considered as an effective method to identify diagnostic biomarkers and a tool to better understand the mechanism of various diseases. A limited number of previous studies have investigated the metabolic perturbations between healthy thyroid and thyroid nodules using serum, tissue and urine samples with techniques such as gas chromatography–mass spectrometry (GC–MS) [ 18 , 21 , 22 ], liquid chromatography–mass spectrometry (LC–MS) [ 23 ], and proton nuclear magnetic resonance (1H NMR) [ 24 ]. Meantime, metabolomics has been applied in autoimmune diseases [ 25 , 26 ].…”

Section: Discussionmentioning

confidence: 99%

“…Protocol to process the experimental samples was conducted referring to our previous research and experimental methods with modifications [ 20 , 21 ]. Blood stains on the surface of samples were rinsed with normal saline, blot dry with filter paper, and weigh.…”

Section: Methodsmentioning

confidence: 99%

Experimental study on changes in metabolic mechanism of papillary thyroid carcinoma complicated with Hashimoto’s thyroiditis

Sun,

Zhang,

Wang

et al. 2023

Heliyon

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“…At present, one of the most powerful analytical technologies for nontargeted metabonomic mapping is ultraperformance liquid chromatography quadrupole-time-of-flight hybrid mass spectrometry (UPLC/Q-TOF MS) technology, which could accurately quantify and discover the remarkably altered metabolites in biofluids or tissues. Recently, UPLC/Q-TOF MS-based metabolomics approach has been widely used in the study of disease diagnosis and the associated mechanisms [ 13 , 14 ].…”

Section: Introductionmentioning

confidence: 99%

UPLC/Q-TOF MS-Based Urine Metabonomics Study to Identify Diffuse Axonal Injury Biomarkers in Rat

et al. 2022

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Diffuse axonal injury (DAI) represents a frequent traumatic brain injury (TBI) type, significantly contributing to the dismal neurological prognosis and high mortality in TBI patients. The increase in mortality can be associated with delayed and nonspecific initial symptoms in DAI patients. Additionally, the existing approaches for diagnosis and monitoring are either low sensitivity or high cost. Therefore, novel, reliable, and objective diagnostic markers should be developed to diagnose and monitor DAI prognosis. Urine is an optimal sample to detect biomarkers for DAI noninvasively. Therefore, the DAI rat model was established in this work. Meanwhile, the ultraperformance liquid chromatography quadrupole-time-of-flight hybrid mass spectrometry- (UPLC/Q-TOF MS-) untargeted metabolomics approach was utilized to identify the features of urine metabolomics to diagnose DAI. This work included 57 metabolites with significant alterations and 21 abnormal metabolic pathways from the injury groups. Three metabolites, viz., urea, butyric acid, and taurine, were identified as possible biomarkers to diagnose DAI based on the great fold changes (FCs) and biological functions during DAI. The present study detected several novel biomarkers for noninvasively diagnosing and monitoring DAI and helped understand the DAI-associated metabolic events.

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Sphingolipid metabolism plays a key role in diabetic peripheral neuropathy

Cited by 12 publications

References 49 publications

Peripheral Neuropathy in Diabetes Mellitus: Pathogenetic Mechanisms and Diagnostic Options

Peripheral Neuropathy in Diabetes Mellitus: Pathogenetic Mechanisms and Diagnostic Options

Experimental study on changes in metabolic mechanism of papillary thyroid carcinoma complicated with Hashimoto’s thyroiditis

UPLC/Q-TOF MS-Based Urine Metabonomics Study to Identify Diffuse Axonal Injury Biomarkers in Rat

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