Compared with other omics techniques, lipidomics technology develops late and is novel, and pure data analysis can also be published in good journals. If you want to study more deeply, you can study lipid metabolism regulation mechanisms downstream of lipid function or upstream proteins or genes.
[Pure group data analysis and distribution]
PNAS | Lipomics reveals abnormal lipid metabolism and potential therapeutic targets caused by viral infection
[metabolic column] lipidomics study of cardiac hypertrophy targets published on Cell Reports
"Fat" refers to the peak | Impact factor 13.3 points
DIA technology
A new generation of revolutionary proteomic technology, DIA, has high coverage, high reproducibility and high quantitative accuracy compared to traditional proteomic technologies (shotgun, Label free, iTRAQ or TMT, etc.) and 4D proteomics ( Advantages such as the level of MRM/PRM can be adopted by the National Cancer Accelerating Program, the Zurich Cancer Map Program, the Australian ProCan Project, etc. , and are appearing in more and more high-level research. .
[Interpretation recommendation]
Less is more: DIA technology, 2table+1figure, got a 12-point Molecular Psychiatry article
Standing on the shoulders of giants to see the world: DIA technology latest application express
Heavy! ! Top cardiovascular journals: Analyze atherosclerotic cryptography - the correct way to open proteome + advanced biometric analysis
The latest Nature Biotechnology: The results of the experiment cannot be repeated? The reason may be here!
What kind of sparks will be wiped out by the combination of lipid group + DIA? Today, I will take a look at the latest article published in Biological Psychiatry IF= 11.982 with Xiaobian! This article uses lipid group + DIA to reveal the early lipid metabolism characteristics and interactions with related proteins in patients with psychotic experience.
Integrated Lipidomics and Proteomics Point to Early Blood-Based Changes in Childhood Preceding Later Development of Psychotic Experiences: Evidence From the Avon Longitudinal Study of Parents and Children
2019 Biological Psychiatry IF= 11.982
Study Materials: Plasma samples from 115 participants at 12 years of age
Technology: Lipid Group + Protein DIA
Early diagnosis and treatment of mental illnesses, including mental illnesses and affective disorders, can significantly improve their clinical outcomes. Studies over the past 15 years have shown that between 8% and 17% of children and adolescents in the general population, and 7% of adults have a psychiatric experience, and individuals with early subclinical symptoms are at higher risk of mental illness or other illnesses. Biometric identification of mental illness contributes to the pathophysiological studies of these diseases, as well as the screening of biomarkers with early detection and diagnostic potential.
1.>>> Research Queue<<<
After many years of follow-up, 115 participants were selected in this study, including 48 PEs in the experimental group (no psychiatric experience at 12 years old, and exact psychiatric experience at 18 years old), and control group 67 (12 years old) No psychiatric experience, and there is a definite psychiatric experience at the age of 18.) There were no significant differences in gender, BMI, and social status between the two groups. Compared with the control group, 9 patients in the PEs group achieved the standard of depression, and none of the normal control group.
2.>>>lipidomics analysis results<<<
Lipidomics analysis was performed on plasma samples of 115 participants at 12 years of age. A total of 61 PC lipid molecules and 11 LPC lipid molecules were detected. A total of 34 lipid molecules were screened by univariate statistical analysis. After FDR correction, 16 lipid molecules were still up-regulated in the PEs group. More interestingly, the results of univariate analysis and multivariate analysis are consistent.
3.>>>Proteome analysis results<<<
Previous studies have shown that patients with mental disorders have abnormal blood coagulation pathways. Therefore, in this study, plasma samples from 115 participants at 12 years of age were tested for 22 proteins in the coagulation pathway using DIA technology. A total of three coagulation proteins were screened by univariate statistical analysis. After FDR correction, only one protein (PLG) was still up-regulated in the PEs group.
4.>>>Lipid group + protein group<<<
Coagulation and complement pathway proteins are functionally closely related. For this reason, the authors will be able to obtain proteins from the complement pathway that are also included in the joint analysis. Correlation analysis showed that 17 lipid molecules were positively correlated with 6 proteins, and PLG, heparin cofactor 2 of the coagulation pathway and vitronectin in the complement pathway were strongly correlated.
5.>>>Cluster Analysis<<<
To further identify potential similarities in the population cohort, partitions around the medoids clustering analysis based on KODAMA values ​​identified four clusters (A, B, C, D).
More interestingly, there are significant differences in the occurrence of PEs in different clusters, namely Cluster A: 71%, Cluster B: 42%, Cluster C: 29%, Cluster D: 19%, of which cluster D is most likely to have PE. .
in conclusion
Through lipid and proteomic experiments, 12 PCs, 4 LPCs and PLG of the coagulation pathway were found to have significant changes in the control and PEs groups, and most lipid molecules were strongly correlated with PLG. Unsupervised cluster analysis found that cluster D was the most likely to have PE. This article reveals that metabolic disorders may cause early susceptibility to PEs and suggest interactions between these PCs, LPCs, coagulation, and complement proteins.
Xiaobian experience
1. DIA quantitative accuracy is close to PRM, can be used for targeted detection
Compared with traditional DDA, DIA's new technology has high coverage, high reproducibility and high quantitative accuracy, which can reach the level similar to MRM/PRM. For this reason, the DIA technology used in this article for targeted detection of 22 proteins.
2. Difficulties in lipidomics research
• Like conventional metabolomes, lipidomics also requires an emphasis on stability and reproducibility during the course of the experiment. An evaluation system that comprehensively and objectively reflects the quality of data is crucial.
â— Different from the conventional metabolome: the physical and chemical properties of lipids are special, the adhesion is high, the separation is not ideal, and the chromatographic peak shape is poor, which requires higher chromatographic separation ability. Undesirable chromatographic separation results in indistinguishability between various lipid peaks, affecting the collection efficiency of mass spectrometry; and poor chromatographic peak shape will affect the accuracy of quantitative results. The ideal separation effect is that the chromatographic peaks are evenly distributed throughout the elution period, and the peak shape is symmetrical and sharp.
Good chromatographic separation
Poor chromatographic separation
Zhongke New Life is one of the earliest platforms to provide metabolomics services, and has qualifications such as China Measurement and Certification (CMA) and ISO9001 Quality Management System Certification. Zhongke New Life Lipidomics Technology Platform is based on LC-MS/MS, using a commercial LipidSearch database containing 1.7 million lipid molecules and an optimized chromatographic system, in addition to providing relative quantification of lipid groups, absolute quantification, A one-stop lipid verification service and multi-group joint service are also available.
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