Exploring Plasma Metabolomic Changes of Sepsis: A Clinical Matching Study Based on Gas Chromatography Mass Spectrometry

Lin, Shihui; Zhu, Jing; Zhang, Mu; Wang, Chuanjiang; Wu, Hua; Lei, Ming; Fan, Jing; Liao, Xiaohui; Liu, Qiong; Xu, Fang

doi:10.2139/ssrn.3297882

Cited by 4 publications

(6 citation statements)

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“…During sepsis, mitochondria, the main site of systemic oxygen consumption, may play a role in consuming excessive oxygen and creating "cytopathic hypoxia" [44]. When sepsis occurs, the body reduces the mitochondrial respiratory chain function, which is accompanied by free radical generation and bioenergetics reprogramming of glycolytic metabolism [20]. Innovative research by Mervyn Singer's laboratory claimed that after 24 h of ICU admission of the septic shock patients, their skeletal muscle biopsies showed severely damaged ETC [45].…”

Section: Discussionmentioning

confidence: 99%

“…Subsequently, R (v3.3.2) XCMS package was adopted to determine the identification/alignment/filtration peaks by adopting the following parameters (peak identification: First, we distinguish the entire raw data in the mz dimension to obtain an XIC chromatogram; then, on the basis of each XIC chromatogram, a peak search is performed for the retention time dimension (RT); after that, through the XCMS Algorithms, extract the peak area of the muscle metabolites. ): peak width � c (10,20), PPM � 15, bw � 5, mzdiff � 0.01, mzwid � 0.015, and method � centWave. Next, the data matrix, including the intensity, retention time (RT), and mass-to-charge ratio (M/Z), was acquired, and the data were exported into an Excel sheet (using HMDB, massbank, lipidmaps, mzcloud, KEGG databases to identify substances).…”

Section: Metabolomic Statistical Analysesmentioning

confidence: 99%

“…ese could indicate an early warning sign for septic encephalopathy [19]. Lin et al found gas chromatography-mass spectrometry (GC-MS) to be the possible metabolomics approach for exploring sepsis and associated organ dysfunction [20]. During septic kidney injury, metabolites such as asymmetric dimethylarginine (ADMA) and adenosine triphosphate (ATP) could be used as specific biomarkers [21].…”

Section: Introductionmentioning

confidence: 99%

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Exploring the Muscle Metabolomics in the Mouse Model of Sepsis-Induced Acquired Weakness

Jiang

Wei

Liu

et al. 2022

Evidence-Based Complementary and Alternative Medicine

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Background/Aim. We aimed to identify the differentially expressing metabolites (DEMs) in the muscles of the mouse model of sepsis-induced acquired weakness (sepsis-AW) using liquid chromatography-mass spectrometry (LC-MS). Materials and Methods. Sepsis by cecal ligation puncture (CLP) with lower limb immobilization was used to produce a sepsis-AW model. After this, the grip strength of the C57BL/6 male mice was investigated. The transmission electron microscopy was utilized to determine the pathological model. LC-MS was used to detect the metabolic profiles within the mouse muscles. Additionally, a statistically diversified analysis was carried out. Results. Compared to the sepsis group, 30 DEMs, including 17 upregulated and 13 down-regulated metabolites, were found in the sepsis-AW group. The enriched metabolic pathways including purine metabolism, valine/leucine/isoleucine biosynthesis, cGMP-PKG pathway, mTOR pathway, FoxO pathway, and PI3K-Akt pathway were found to differ between the two groups. The targeted metabolomics analysis explored significant differences between four amino acid metabolites (leucine, cysteine, tyrosine, and serine) and two energy metabolites (AMP and cAMP) in the muscles of the sepsis-AW experimental model group, which was comparable to the sepsis group. Conclusion. The present work identified DEMs and metabolism-related pathways within the muscles of the sepsis-AW mice, which offered valuable experimental data for diagnosis and identification of the pathogenic mechanism underlying sepsis-AW.

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Section: Discussionmentioning

confidence: 99%

Section: Metabolomic Statistical Analysesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Exploring the Muscle Metabolomics in the Mouse Model of Sepsis-Induced Acquired Weakness

Jiang

Wei

Liu

et al. 2022

Evidence-Based Complementary and Alternative Medicine

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“…The results showed that energy metabolism, amino acid metabolism, and lipid metabolism were lower in patients with sepsis compared with participants in the control group. In addition, energy metabolism was particularly significant [42]. Excessive energy metabolites may be detrimental to the patient's prognosis, and this similar result is by no means accidental.…”

Section: Application Of Metabolomics In Sepsis 31 Application Of Metabolomics In the Diagnosis Of Sepsismentioning

confidence: 99%

Recent application of metabolomics in the diagnosis, pathogenesis, treatment, and prognosis of sepsis

2021

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Sepsis is a life-threatening organ dysfunction caused by dysregulated host response to infections. It is a leading cause of morbidity and mortality in hospitalized patients. Patients with sepsis often require care in the intensive care unit (ICU) which is costly to the patients and their families. Sepsis has no specific clinical manifestations, and its pathophysiological mechanism is complex. The disease progresses rapidly which makes early diagnosis difficult. Severe forms of the disease, such as septic shock, may lead to organ dysfunction, organ failure, and death. As an emerging “-omics” technology, metabolomics has revolutionized the clinical and research landscape of sepsis. Metabolomics has been applied in the prognosis, diagnosis, and risk stratification in patients with sepsis. This technology provides details on the metabolites and biochemical pathways commonly associated with the pathophysiology of sepsis. At present, it is mostly used to identify metabolites in various diseases. Using this technology, metabolites in body fluids such as blood and urine are detected and analyzed in relation to disease progresssion. The technology therefore helps to understand the pathogenesis of diseases and promote early diagnosis and treatment of the disease. So far, the applicaition of metabolomics in patients with sepsis has not been well defined. This article briefly reviews the application of metabolomics technology in patients with sepsis in recent years, to generate ideas for improving rapid diagnosis and prognosis evaluation of patients with sepsis.

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“…Using a metabolomics approach to analyze relative concentrations of multiple metabolites [8] is helpful for us to discover some effective prevention and treatment strategies by identifying the differential metabolites [9,10] . GC-MS (gas chromatography -mass spectrometer), which combines gas chromatography with mass spectrometry, allows to detect the dynamic changes of metabolites and perform stoichiometric analysis, thus elucidating the molecular mechanisms of diseases [11,12] . Xuebijing (XBJ) injection, a traditional Chinese medicine, has been approved by the State Food and Drug Administration (SFDA) of China and showed a promising clinical therapeutic effect [13] .…”

Section: Introductionmentioning

confidence: 99%

Xuebijing Injection Affects the Dynamic Change of Metabolism in CLP-Induced Septic Rats

Liu

Zeng

Xiao

et al. 2021

Preprint

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Xuebijing injection has been widely applied to treat sepsis. However, its roles in the dynamic change of metabolism in sepsis are still unknown. In our study, Gas chromatography-mass spectrometer (GC-MS) combined with multivariate statistical techniques was used to detect the metabolic change in septic rats with or without XBJ injection treatment. The KEGG pathway analysis was used to further analyze the related metabolic pathways in which the identified metabolites were involved. Based on the fold change, variable important in projection, and P value, we found 11, 33 and 26 differential metabolites in the sepsis group at 2, 6 and 12 hours post CLP, compared with the control group. Besides, we also found 32, 23 and 28 differential metabolites in the XBJ group at 2, 6 and 12 hours post CLP. The related pathways of differential metabolites were glycometabolism at 2h, glycometabolism and amino acid metabolism at 6h and amino acid metabolism at 12h post CLP in the sepsis group compared with the control group. Besides, glycometabolism, amino acid metabolism and lipid metabolism changed markedly after XBJ injection for 2 hours; while only amino acid metabolism changed significantly with the treatment of XBJ injection for 6 and 12 hours, compared with the sepsis group. Further analysis showed 3, 6 and 6 differential metabolites were overlapped in the sepsis group and XBJ group at 2, 6 and 12 hours post CLP. These identified differential metabolites were majorly involved in arginine and proline metabolism, suggesting that XBJ injection is capable of improving metabolic disorders in CLP-induced septic rat to a certain extent.

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Exploring Plasma Metabolomic Changes of Sepsis: A Clinical Matching Study Based on Gas Chromatography Mass Spectrometry

Cited by 4 publications

References 4 publications

Exploring the Muscle Metabolomics in the Mouse Model of Sepsis-Induced Acquired Weakness

Exploring the Muscle Metabolomics in the Mouse Model of Sepsis-Induced Acquired Weakness

Recent application of metabolomics in the diagnosis, pathogenesis, treatment, and prognosis of sepsis

Xuebijing Injection Affects the Dynamic Change of Metabolism in CLP-Induced Septic Rats

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