[Research progress of macrophage polarization in silicosis fibrosis].

Silicosis is a common occupational disease, and its main characteristic pathological features are the formation of silicon nodules and diffuse pulmonary fibrosis. In the process of silicosis fibrosis, macrophages can be polarized into M1 macrophages and M2 macrophages. M1 macrophages play a pro-inflammatory role in the early stage of silicosis and release a variety of inflammatory factors, which is the core of inflammatory response. M2 macrophages promote inflammation resolution and tissue repair in silicosis fibrosis stage by secreting anti-inflammatory cytokines and pro-fibrotic mediators. M1/M2 polarization balance plays an important role in the occurrence and development of silicosis, and the regulation of macrophage polarization direction may play a positive role in the prevention and treatment of silicosis fibrosis. In this review, the role of macrophage polarization in silicosis fibrosis, the related signaling pathways regulating macrophage polarization in silicosis fibrosis, and the potential therapeutic targets based on macrophage polarization in silicosis fibrosis are reviewed, with a view to further strengthening the understanding of the mechanism of macrophage polarization in the pathogenesis and treatment of silicosis fibrosis.

[Determination of 22 phospholipids in serum by ultra performance liquid chromatography-tandem mass spectrometry].

Objective: To establish ultra performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) method for the determination of 22 phospholipids in serum. Methods: In September 2022, Using synthetic non endogenous phospholipids as internal standard, phospholipids in serum were extracted by methanol-dichloromethane (2∶1, V/V) protein precipitation method. Chromatographic separation was achieved on an ACQUITY UPLC BEH shield RP18 column, and the mobile phase was methanol/water (5∶95, V/V) containing 10 mM ammonium formate and methanol. Detection was performed in multiple reaction monitoring mode with ion mode switching. And the method was applied by analyzing phospholipids in the serum of coal workers' pneumoconiosis patients. Results: The 22 phospholipids showed good linear relationships in their respective concentration ranges and the correlation coefficients were higher than 0.990. The spiked recoveries of the 22 phospholipids were 81.03%-121.63% at the three spiked levels. The intra-assay were less than 14.52%, and the inter-assay were less than 15.00%. Conclusion: The method with the advantages of simplicity, stability and high sensitivity, and it can be used for the analysis of phospholipids in serum.

[Serum metabolomics in latent pneumoconiosis tuberculosis patients based on ultra performance liquid chromatography tandem quadrupole time of flight mass spectrometry].

Objective: To explore the non-target metabonomics of serum in worker's pneumoconiosis (CWP) patients with latent tuberculosis and the biomarkers of latent tuberculosis infection of pneumoconiosis. Methods: In December 2018, 39 CWP inpatients from a hospital in Beijing were taken as subjects. The subjects were screened for latent tuberculosis using the in vitro release test of mycobacterium tuberculosis-interferon (IGRAs) test. According to the screening results, 21 positive patients with latent tuberculosis infection were selected as the latent tuberculosis group of pneumoconiosis. While 18 negative patients with CWP alone were selected as the pneumoconiosis group. Polarity components of metabolites were analyzed by UPLC-QTOF/MS. The data was processed with Progenesis QI software for multidimensional statistical analysis. Identification of structure of differential metabolites were matched through accurate mass and secondary mass spectrum. Searching the Human Metabolome Database (HMDB) , differential metabolites were imported into MetaboAnalyst 4.0 to analyze the metabolic pathways. Results: All 42 differential metabolites were screened out. Excepted for exogenous metabolites, 14 endogenous differential metabolites were identified. Compared with the pneumoconiosis group, 6 metabolites including PC [18∶4 (6Z, 9Z, 12Z, 15Z) /P-18∶1 (11Z) ], 3-Oxododecanoyl-CoA in the latent tuberculosis group were up-regulated, while 8 metabolites including the Stearoyl-CoA, (2S) -Pristanoyl-CoA were down-regulated. These results might be related to lipid, fatty acid and arachidonic acid metabolism pathways. Conclusion: There are significant differences in serum metabonomics between the patients with latent tuberculosis of pneumoconiosis and the patients with ordinary pneumoconiosis, which provide a reference for the study of biomarkers for the diagnosis of latent tuberculosis infection of pneumoconiosis.

Methylation-Based Age Estimation Model Construction and Its Effectiveness Evaluation.

OBJECTIVES: To screen the DNA methylation loci associated with the age of Han males in northern China and to construct an age estimation model. METHODS: Twenty-one candidate methylation loci were screened. The DNA methylation levels of 476 blood samples from Chinese Han males were detected for 21 amplicons using EpiTYPER technology platform, and data on 153 DNA methylation loci were obtained. RESULTS: After correlation analysis, 8 age-related DNA methylation loci were finally screened. CpG1, CpG2, CpG4, CpG7, CpG8 were located on TRIM59, RASSF5, Clorf132, CSNK1D, ELOVL2,CpG5, CpG6 on PDE4C, and CpG3 on chr17:21452808. Based on the 8 loci, 352 samples were used for model construction. A multivariate linear regression age estimation model was constructed （R2=0.93）, with mean absolute deviation （MAD） of 2.69 years old. When 109 samples were used for model validation, the MAD was 3.80 years old. The test was repeated 3 times in 15 new samples, with MADs of 4.08, 4.68 and 3.93 years old, respectively. CONCLUSIONS: The age estimation model on Han males in northern China constructed in this study can be used to estimate the age of victims and suspects and to narrow the scope of investigation, and therefore has practical application value.

[Rapid determination of 21 elements in urine by inductively coupled plasma mass spectrometry].

Objective: To develop a rapid detection method for 21 elements in urine with inductively coupled plasma mass spectrometry (ICP-MS) . Methods: The urine samples were directly diluted 20 times by 1% HNO(3), and detected by ICP-MS, Indium, Yttrium, and Lutecium were used as on-line internal standard. Fe was analyzed by Dynamic Reaction Cell (DRC) mode, As, Cr, V and Zn were analyzed by collision cell technology (CCT) mode, and Be, Mn, Ni, Cd, Sn, Bi, Pb, Re, Sb, W, Li, Cu, Se, Sr, Mo were analyzed by standard mode. Dynamic band-pass tuning (DBT) was used to eliminate interference for Fe. Results: All the elements have good linearity in their determination range, with the correlation coefficient r>0.999 5. The limits of detection of the 21 elements were in the range of 0.017-11.14 µg/L. The inter-precision (relative standard deviation, RSD) was less than 9.96%, and the intra-precision was less than 13.90% (except As RSD<18.91%) . The spike recovery of all elements fell within 81.1%-116.4%. Conclusion: The method was proved to be simple, fast, and accurate, and met the needs of testing requirements of large amounts of specimens.