UPLC‐MS/MS‐based plasma lipidomics reveal a distinctive signature in systemic lupus erythematosus patients

Chen, Jiaxi; Liu, Chong; Ye, Shenyi; Lu, Ruijie; Zhu, Hongying; Xu, Jiaqin

doi:10.1002/mco2.67

Cited by 8 publications

(3 citation statements)

References 30 publications

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“…Lipidomic and metabolomic studies are increasingly published with the aim of "biomarker" search in human plasma for various diseases including metabolic [1][2][3][4] and cardiovascular disease [5][6][7], mental [8][9][10][11] and immune-mediated diseases [12,13], cancer [14][15][16][17][18], healthy aging [19], vascular dementia [20] or Alzheimer's Disease [21][22][23][24][25]. The risk for a number of these conditions is believed to be sexdependent and contributed by psychosocial and occupational stresses and by individual anthropometric and biographic influences [26,27].…”

Section: Introductionmentioning

confidence: 99%

Sex, age, body mass index, and contraceptive use but not perceived stress influence healthy plasma lipidomic profiles

Hahnefeld,

Hackel,

Trautmann

et al. 2024

Preprint

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Background The stress of everyday life is thought to contribute to the pathogenesis of metabolic, vascular, mental, and immune diseases, with different susceptibilities in women and men. We hypothesized that sex differences in stress perception may manifest in sex-dependent lipid profiles. Methods The present study investigated the effect of sex, age, body mass index, perceived stress, regular and occasional drug use, and dietary supplements on plasma lipidomic profiles, obtained by mass spectrometry analyses. The study included 217 healthy women and 108 healthy men aged 18–68 years, who were recruited in a 2:1 female:male ratio to account for women with/without contraceptives. Results As expected, dehydroepiandrosterone sulfate (DHEAS) and ceramides were higher in men than in women, and in both sexes DHEAS decreased with age, while ceramides increased. Contrary to expectations, neither DHEAS nor ceramides were associated with perceived stress (PSQ30 questionnaire), which peaked in young and 51 + women (low in ages between), and in obese young men, whereas the overall male PSQ30 peak was around 40 years of age. None of the lipid species or classes showed a similar "age X sex X BMI" interaction. Strong sex differences were found for lysophosphatidylcholines (LPCs) (low in women) and their metabolites, lysophosphatidic acids (LPAs) (high in women). The LPA:LPC ratio was particularly high in women receiving contraceptives suggesting a strong hormone-induced conversion of LPCs to LPAs via autotaxin, which was much higher in women than in men, and is known to trigger platelet aggregation. In addition, phosphatidylethanolamines (PE) were high in women. They are precursors of endocannabinoids such as palmitoylethanolamide (PEA), which was elevated in subjects with a medical history of hypertension and increased with the BMI. Conclusion The results reveal complex sex differences in perceived stress and lipidomic profiles, the latter being exacerbated by contraceptive use, but perceived stress and lipids were not directly correlated. Trial registration Not applicable

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Section: Introductionmentioning

confidence: 99%

Sex, age, body mass index, and contraceptive use but not perceived stress influence healthy plasma lipidomic profiles

Hahnefeld,

Hackel,

Trautmann

et al. 2024

Preprint

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show abstract

“…As a subset of metabolomics, lipidomics is an effective approach to study the metabolism of the cellular lipidome and to identify lipid biomarkers of diseases (Han, 2016 ; Wenk, 2005 ). Plasma lipidomics has exhibited predictive powers in diagnosis of multiple diseases such as cancers (Lee et al, 2019 ), type 2 diabetes (Razquin et al, 2018 ), cardiovascular disease (Tabassum et al, 2019 ), and systemic lupus erythematosus (Chen et al, 2021 ). A recent research has reported the identification of nine lipids from plasma lipidomic profiling to be able to detect early-stage lung cancer (Wang et al, 2022 ), although their reliability remains to be confirmed from independent studies.…”

Section: Introductionmentioning

confidence: 99%

Lipidomics reveals new lipid-based lung adenocarcinoma early diagnosis model

Sun,

Chen,

Yang

et al. 2024

EMBO Mol Med

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Lung adenocarcinoma (LUAD) continues to pose a significant mortality risk with a lack of dependable biomarkers for early noninvasive cancer detection. Here, we find that aberrant lipid metabolism is significantly enriched in lung cancer cells. Further, we identified four signature lipids highly associated with LUAD and developed a lipid signature-based scoring model (LSRscore). Evaluation of LSRscore in a discovery cohort reveals a robust predictive capability for LUAD (AUC: 0.972), a result further validated in an independent cohort (AUC: 0.92). We highlight one lipid signature biomarker, PE(18:0/18:1), consistently exhibiting altered levels both in cancer tissue and in plasma of LUAD patients, demonstrating significant predictive power for early-stage LUAD. Transcriptome analysis reveals an association between increased PE(18:0/18:1) levels and dysregulated glycerophospholipid metabolism, which consistently displays strong prognostic value across two LUAD cohorts. The combined utility of LSRscore and PE(18:0/18:1) holds promise for early-stage diagnosis and prognosis of LUAD.

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“…However, abnormalities in cell development and function are not limited to T and B cells (7). Recently, it has been suggested that metabolic abnormalities in innate immune cells play a critical role in the pathogenesis of AIDs, such as rheumatoid arthritis (RA) and systemic lupus erythematosus (SLE) (8,9). However, the comprehensive mechanism of innate immunity involvement in AIDs remains to be elaborated.…”

Section: Introductionmentioning

confidence: 99%

Glycolysis in Innate Immune Cells Contributes to Autoimmunity

Chen

Zhang

et al. 2022

Front. Immunol.

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Autoimmune diseases (AIDs) refer to connective tissue inflammation caused by aberrant autoantibodies resulting from dysfunctional immune surveillance. Most of the current treatments for AIDs use non-selective immunosuppressive agents. Although these therapies successfully control the disease process, patients experience significant side effects, particularly an increased risk of infection. There is a great need to study the pathogenesis of AIDs to facilitate the development of selective inhibitors for inflammatory signaling to overcome the limitations of traditional therapies. Immune cells alter their predominant metabolic profile from mitochondrial respiration to glycolysis in AIDs. This metabolic reprogramming, known to occur in adaptive immune cells, i.e., B and T lymphocytes, is critical to the pathogenesis of connective tissue inflammation. At the cellular level, this metabolic switch involves multiple signaling molecules, including serine–threonine protein kinase, mammalian target of rapamycin, and phosphoinositide 3-kinase. Although glycolysis is less efficient than mitochondrial respiration in terms of ATP production, immune cells can promote disease progression by enhancing glycolysis to satisfy cellular functions. Recent studies have shown that active glycolytic metabolism may also account for the cellular physiology of innate immune cells in AIDs. However, the mechanism by which glycolysis affects innate immunity and participates in the pathogenesis of AIDs remains to be elucidated. Therefore, we reviewed the molecular mechanisms, including key enzymes, signaling pathways, and inflammatory factors, that could explain the relationship between glycolysis and the pro-inflammatory phenotype of innate immune cells such as neutrophils, macrophages, and dendritic cells. Additionally, we summarize the impact of glycolysis on the pathophysiological processes of AIDs, including systemic lupus erythematosus, rheumatoid arthritis, vasculitis, and ankylosing spondylitis, and discuss potential therapeutic targets. The discovery that immune cell metabolism characterized by glycolysis may regulate inflammation broadens the avenues for treating AIDs by modulating immune cell metabolism.

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UPLC‐MS/MS‐based plasma lipidomics reveal a distinctive signature in systemic lupus erythematosus patients

Cited by 8 publications

References 30 publications

Sex, age, body mass index, and contraceptive use but not perceived stress influence healthy plasma lipidomic profiles

Sex, age, body mass index, and contraceptive use but not perceived stress influence healthy plasma lipidomic profiles

Lipidomics reveals new lipid-based lung adenocarcinoma early diagnosis model

Glycolysis in Innate Immune Cells Contributes to Autoimmunity

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