Identifying biomarkers distinguishing sepsis after trauma from trauma-induced SIRS based on metabolomics data: A retrospective study DOI Creative Commons

Yi Gou,

Jingjing Liu,

Junfei Zhang

и другие.

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Окт. 16, 2024

Abstract Background Sepsis after trauma and trauma-induced SIRS may present with similar symptoms, so it is a great challenge to distinguish sepsis from SIRS. Besides, uncovers the occurrence of trauma. Thus, there need for biomarkers them. We hypothesized that leads different changes in blood metabolism than searched metabolite between two conditions. Methods This study retrospectively analyzed existing metabonomics data patients severe (100 cases), (50 non-trauma controls cases). screened out 40 100 then used pairwise comparison screen differential metabolites as distinguishing Results In total, 413 could differentiate Using partial least‑squares discriminant analysis, we showed was metabolically distinct The main were LPC O-22:1, uric acid, 23-Norcholic PC O-38:1, O-42:3 (AUC: 0.875 0.910). Conclusions Our has identified potential employing metabolic differentiation particular, demonstrated important These provide basis further research on identifying based targeted metabolomics.

Язык: Английский

PD-1 signaling limits expression of phospholipid phosphatase 1 and promotes intratumoral CD8+ T cell ferroptosis DOI

Yu P,

Jiqi Shan,

Haiming Qin

и другие.

Immunity, Год журнала: 2024, Номер 57(9), С. 2122 - 2139.e9

Опубликована: Авг. 28, 2024

Язык: Английский

Процитировано

29
Methyltransferase Setd2 prevents T cell–mediated autoimmune diseases via phospholipid remodeling DOI
Yali Chen, Kun Chen, Ha Zhu

и другие.

Proceedings of the National Academy of Sciences, Год журнала: 2024, Номер 121(8)

Опубликована: Фев. 15, 2024

Coordinated metabolic reprogramming and epigenetic remodeling are critical for modulating T cell function differentiation. However, how the modification controls Th17/Treg balance via remains obscure. Here, we find that Setd2, a histone H3K36 trimethyltransferase, suppresses Th17 development but promotes iTreg polarization phospholipid remodeling. Mechanistically, Setd2 up-regulates transcriptional expression of lysophosphatidylcholine acyltransferase 4 (Lpcat4) directly catalyzing H3K36me3

Язык: Английский

Процитировано

8
Histone Modifications and DNA Methylation in Psoriasis: A Cellular Perspective DOI
Jing Pan, Siji Chen, Xianzhen Chen

и другие.

Clinical Reviews in Allergy & Immunology, Год журнала: 2025, Номер 68(1)

Опубликована: Янв. 27, 2025

Язык: Английский

Процитировано

0
FASN promotes lipid metabolism and progression in colorectal cancer via the SP1/PLA2G4B axis DOI Creative Commons
Xin Liu, Jiachun Lu,

Xiangyu Ni

и другие.

Cell Death Discovery, Год журнала: 2025, Номер 11(1)

Опубликована: Март 28, 2025

Abstract Abnormal metabolic reprogramming is essential for tumorigenesis, metastasis, and the regulation of immune responses. Fatty acid synthase (FASN), a key enzyme in lipid metabolism, plays crucial role these processes. However, relationship between FASN-mediated response colorectal cancer (CRC) remains unclear. The present study demonstrated that FASN expression elevated CRC tissues significantly associated with poor prognosis. Functional experiments revealed promotes proliferation, migration, invasion, phosphatidylcholine (PC) production cells. Additionally, vivo knockdown inhibits tumor growth spread cells to lungs. Mechanistically, FASN, which upregulated tissues, drives cell PC metabolism through SP1/PLA2G4B axis, subsequently suppressing antitumor natural killer (NK) PC-dependent manner. These findings provide new insights into immunobiology CRC, suggesting potential targets treatment prevention CRC.

Язык: Английский

Процитировано

0
Emerging role of SETD2 in the development and function of immune cells DOI Creative Commons
Longmin Chen, Yuan Zou, Yan Dong

и другие.

Genes & Diseases, Год журнала: 2025, Номер unknown, С. 101622 - 101622

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0
Role of CD33 basophils in mediating the effect of lipidome on chronic kidney disease: A 2-sample, 2-variable, bidirectional Mendelian randomization analysis DOI Creative Commons
Qi Li, Haoyu Chen, Hui Gao

и другие.

Medicine, Год журнала: 2025, Номер 104(19), С. e42332 - e42332

Опубликована: Май 9, 2025

This study aimed to investigate the causal relationship between lipidomes and chronic kidney disease (CKD) identify quantify role of immune cells as a potential mediator. Using summary-level data from genome-wide association study, 2-sample Mendelian randomization (MR) analysis genetically predicted (7174 cases) CKD (406,745 was performed. Furthermore, we used 2-step MR quantitate proportion effect traits–mediated on CKD. The revealed CKD, with different either increasing or decreasing risk Immune may serve intermediaries in pathway Our indicates that CD33 basophils accounts for 3.23% reduced associated triacylglycerol (53:3) levels In conclusion, our has identified well mediating basophils. However, other factors like mediators require further investigation. clinical practice, particular attention should be paid lipidomic changes, especially triacylglycerol, patients

Язык: Английский

Процитировано

0
Causal relationship between plasma lipidome and four types of pancreatitis: a bidirectional Mendelian randomization study DOI Creative Commons

Runzhou Ma,

Cheng-Ming Chen, Ziyi Wang

и другие.

Frontiers in Endocrinology, Год журнала: 2024, Номер 15

Опубликована: Сен. 30, 2024

Background Pancreatitis is a serious and complex inflammatory disease that imposes severe effect on quality of life. Links between plasma lipidome pancreatitis have been reported, some which not yet clearly elucidated. Methods Therefore, our study aimed to investigate the causal relationships four types by conducting bidirectional, two-sample Mendelian randomization (MR) analysis. We obtained genetic variants associated with 179 lipid species from Genome-wide association analysis lipidome. The aggregated statistical data acute (AP), alcohol-induced (AAP), chronic (CP), (ACP) FinnGen consortium were exploited as outcome. inverse variance weighted (IVW) technique main method was used for MR sensitivity analyses evaluate heterogeneity pleiotropy. Results After FDR correction, SE (27:1/20:4) (OR = 0.938, 95%CI 0.906-0.972, P 4.38 × 10 -4 , PFDR 0.039) identified be significantly AP risk. Eight CP risk: 0.911, 0.869-0.954, 8.89 -5 0.016), LPC (20:4) 0.892, 0.843-0.945, 9.74 0.009), PC (16:0_22:5) 0.880, 0.818-0.947, 6.29 0.028), (17:0_20:4) 0.893, 0.842-0.948, 1.76 0.010), (18:0_20:4) 0.920, 0.874-0.969, 1.70 -3 0.038), (O-16:0/20:4) 0.871, 0.804-0.943, 6.95 0.025), (O-16:1/20:4) 0.890, 0.832-0.953, 7.85 0.023), PE (O-18:1/20:4) 0.866, 0.791-0.947, 1.61 0.041). Furthermore, genetically predicted increased 0.862, 0.796-0.934, 3.00 0.027) SM (34:2;O2) 0.753, 0.659-0.860, 2.97 0.005) levels decreased risk ACP. Conclusions Our findings provide evidence associations specific pancreatitis, offering new insights into future clinical research.

Язык: Английский

Процитировано

2
Identifying biomarkers distinguishing sepsis after trauma from trauma-induced SIRS based on metabolomics data: A retrospective study DOI Creative Commons

Yi Gou,

Jingjing Liu,

Junfei Zhang

и другие.

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Окт. 16, 2024

Abstract Background Sepsis after trauma and trauma-induced SIRS may present with similar symptoms, so it is a great challenge to distinguish sepsis from SIRS. Besides, uncovers the occurrence of trauma. Thus, there need for biomarkers them. We hypothesized that leads different changes in blood metabolism than searched metabolite between two conditions. Methods This study retrospectively analyzed existing metabonomics data patients severe (100 cases), (50 non-trauma controls cases). screened out 40 100 then used pairwise comparison screen differential metabolites as distinguishing Results In total, 413 could differentiate Using partial least‑squares discriminant analysis, we showed was metabolically distinct The main were LPC O-22:1, uric acid, 23-Norcholic PC O-38:1, O-42:3 (AUC: 0.875 0.910). Conclusions Our has identified potential employing metabolic differentiation particular, demonstrated important These provide basis further research on identifying based targeted metabolomics.

Язык: Английский

Процитировано

0