Distinct lipid signatures are identified in the plasma of rats with chronic inflammation induced by estradiol benzoate and sex hormones

Decipher the pharmacological mechanisms of raw and wine-processed Curculigo orchioides Gaertn. on bone destruction in rheumatoid arthritis rats using metabolomics

ETHNOPHARMACOLOGICAL RELEVANCE

Curculigo orchioides Gaertn. (CO), a traditional Chinese herb recorded in Chinese Pharmacopoeia, can nourish kidney yang, strengthen bones, and dispell cold-dampness. Raw CO (rCO) and wine-processed CO (pCO), the main processed products of CO for clinical application, show differences in nourishing kidney yang and ameliorate osteoporosis. However, the difference in efficacy and mechanism of rCO and pCO on bone destruction in rheumatoid arthritis (RA) remain unclear.

AIM OF THE STUDY

To compare the pharmacodynamics of rCO and pCO in the treatment of bone destruction in RA and to reveal the potential mechanism by which rCO and pCO exert effects by metabolomics approach.

MATERIALS AND METHODS

Ultra-high performance liquid chromatography Q exactive mass spectrometry (UHPLC-Q-Exactive-MS) combined with multivariate data analysis was applied to identify the differential chemical components in rCO and pCO. Collagen-induced arthritis (CIA) rats were orally administrated with different doses of rCO and pCO for 4 weeks. The body weight, paw swelling, arthritis scores, serum inflammatory cytokines concentration, knee tumor necrosis factor (TNF)-α, interleukin (IL)-6 protein levels, and inflammatory cell infiltration were determined to investigate the effects of rCO and pCO on arthritic symptoms and inflammatory responses in CIA rats. The effects of rCO and pCO on bone destruction were assessed using safranin O-fast green and tartrate-resistant acid phosphatase (TRAP) staining, immunohistochemical analysis of osteoprotegerin (OPG) and receptor activator of nuclear factor-κB ligand (RANKL) proteins, and micro-computed tomography (micro-CT) in rats. In addition, metabolomics was performed to explore the mechanism of rCO and pCO against bone destruction in RA.

RESULTS

A total of 41 chemical constituents were identified in both rCO and pCO, 9 of which were screened out as discriminatory compounds. According to the pharmacodynamic assays, pCO exhibited a stronger effect than rCO in attenuating the severity of arthritis, reducing inflammation, and inhibiting bone destruction. The metabolomics results showed that pentose phosphate pathway was the key metabolic pathways regulated by rCO, while pCO regulated multiple metabolic pathways including phenylalanine metabolism pathways, phenylalanine, tyrosine and tryptophan biosynthesis, taurine and hypotaurine metabolism, and glycerophospholipid metabolism pathways.

CONCLUSION

pCO displayed a better effect on alleviating bone destruction in RA was than rCO. This might be associated with that pCO can decrease inflammation in RA through regulating more metabolism pathways.

Multi-omics analysis of biomarkers and molecular mechanism of rheumatoid arthritis with bone destruction

OBJECTIVES

Our study aimed to elucidate the role of metabolites, bacteria, and fungi in rheumatoid arthritis (RA) patients with bone destruction (BD(+)) and identify some biomarkers to predicate bone progression of RA.

METHODS

Plasma metabolites of the 127 RA patients and 69 healthy controls were conducted by using nontargeted liquid chromatography-mass spectrometry (LC-MS). The gut bacteria and fungi were assessed by 16S rRNA and internal transcribed spacer (ITS).

RESULTS

Compared with RA patients without bone destruction (BD(-)), some metabolites, bacteria, and fungi were altered in BD(+). Seven metabolites were selected as key metabolites for classifying the BD(+) and BD(-) groups with moderate accuracy (AUC=0.71). Metabolites-groups, metabolites-metabolites, and metabolites-clinical factors had a certain correlation, and 7 metabolites were enriched in glycerophospholipid metabolism and L-arginine and proline metabolism pathways. The bacteria and fungi of the BD(+) group showed significant differences in composition and function compared with BD(-) group. The changed 4 bacteria and 12 fungi yielded accuracy (AUC=0.74 and AUC=0.87, respectively) for the two groups. Taking 7 metabolites, 4 bacteria, and 12 fungi as a panel for AUC analysis, an improved AUC of 0.99 significantly discriminated the two groups. The changed metabolites, gut bacteria, and fungi may affect the pathway related to L-arginine.

CONCLUSIONS

Our nontargeted LC-MS, 16S rRNA, and ITS highlighted a novel link among the metabolites, bacteria, fungi, and pathology of BD(+), which could contribute to our understanding of the role of metabolites, bacteria, and fungi in BD(+) etiology and offered some novel biomarkers to predict the bone progression of RA.

Identification of Altered Proteins in the Plasma of Rats With Chronic Prostatic Inflammation Induced by Estradiol Benzoate and Sex Hormones

The cause of nonbacterial chronic prostatitis is unknown, yet its prevalence accounts for more than 90% of all prostatitis cases. Whole blood, plasma, and serum have been used to identify prostate cancer biomarkers; however, few studies have performed protein profiling to identify prostatitis biomarkers. The purpose of this study was to identify protein biomarkers altered by chronic prostatitis. To perform the study, we chemically induced chronic prostate inflammation in Sprague Dawley rats using estradiol benzoate (EB), testosterone (T), and estradiol (E) and then examined protein levels in their plasma. Plasma was collected on postnatal days (PNDs) 90, 100, 145, and 200; plasma proteins were profiled using liquid chromatography-tandem mass spectrometry. Chronic inflammation was observed in the rat prostate induced with EB on PNDs 1, 3, and 5. Rats then were dosed with T+E during PNDs 90-200 via subcutaneous implants. We identified time-specific expression for several proteins (i.e., CFB, MYH9, AZGP1). Some altered proteins that were expressed in the prostate (i.e., SERPINF1, CTR9) also were identified in the rat plasma in the EB+T+E group on PNDs 145 and 200. These findings suggest that the identified proteins could be used as biomarkers of chronic prostatitis. Further studies are needed to verify the results in human samples.

Potential Mechanism of S. baicalensis on Lipid Metabolism Explored via Network Pharmacology and Untargeted Lipidomics

Background

S. baicalensis, a traditional herb, has great potential in treating diseases associated with aberrant lipid metabolism, such as inflammation, hyperlipidemia, atherosclerosis and Alzheimer’s disease.

Aim of the Study

To elucidate the mechanism by which S. baicalensis modulates lipid metabolism and explore the medicinal effects of S. baicalensis at a holistic level.

Materials and Methods

The potential active ingredients of S. baicalensis and targets involved in regulating lipid metabolism were identified using a network pharmacology approach. Metabolomics was utilized to compare lipids that were altered after S. baicalensis treatment in order to identify significantly altered metabolites, and crucial targets and compounds were validated by molecular docking.

Results

Steroid biosynthesis, sphingolipid metabolism, the PPAR signaling pathway and glycerolipid metabolism were enriched and predicted to be potential pathways upon which S. baicalensis acts. Further metabolomics assays revealed 14 significantly different metabolites were identified as lipid metabolism-associated elements. After the pathway enrichment analysis of the metabolites, cholesterol metabolism and sphingolipid metabolism were identified as the most relevant pathways. Based on the results of the pathway analysis, sphingolipid and cholesterol biosynthesis and glycerophospholipid metabolism were regarded as key pathways in which S. baicalensis is involved to regulate lipid metabolism.

Conclusion

According to our metabolomics results, S. baicalensis may exert its therapeutic effects by regulating the cholesterol biosynthesis and sphingolipid metabolism pathways. Upon further analysis of the altered metabolites in certain pathways, agents downstream of squalene were significantly upregulated; however, the substrate of SQLE was surprisingly increased. By combining evidence from molecular docking, we speculated that baicalin, a major ingredient of S. baicalensis, may suppress cholesterol biosynthesis by inhibiting SQLE and LSS, which are important enzymes in the cholesterol biosynthesis pathway. In summary, this study provides new insights into the therapeutic effects of S. baicalensis on lipid metabolism using network pharmacology and lipidomics.