Objective: To examine the causal relationship between inflammatory cytokines and premature ovarian insufficiency (POI) using bidirectional Mendelian randomization (MR) approach, so as to provide the basis for the prevention and treatment of POI. Methods: The data for 91 inflammatory cytokines were sourced from the IEU OpenGWAS database, comprising 14 824 participants. GWAS data for POI were sourced from the FinnGen database, including 118 484 individuals (among which 254 were POI cases). MR analysis was performed using the inverse variance weighted (IVW) method with inflammatory cytokines as exposure and POI as the outcome for forward MR analysis and POI as the exposure and inflammatory cytokines as outcome for reverse MR analysis. Sensitivity analysis were conducted using Cochran's Q test, MR-Egger regression, and the MR-PRESSO test. Results: Forward MR analysis demonstrated statistically significant associations between POI and interleukin-10 (OR=0.410, 95%CI: 0.233-0.721), interleukin-33 (OR=2.826, 95%CI: 1.228-6.504), C-C motif chemokine ligand 19 (OR=0.583, 95%CI: 0.364-0.932), monocyte chemoattractant protein-3 (OR=0.559, 95%CI: 0.335-0.936), interleukin-18 receptor 1 (OR=1.370, 95%CI: 1.030-1.821), and interleukin-13 (OR=1.990, 95%CI: 1.034-3.832). Reverse MR analysis revealed significant negative associations between POI and 15 inflammatory cytokines, including C-C motif chemokine ligand 23 (OR=0.981, 95%CI: 0.968-0.994) and axin-1 (OR=0.978, 95%CI: 0.963-0.994). Sensitivity analysis showed no evidence of heterogeneity or horizontal pleiotropy (all P>0.05). Conclusion Elevated levels of interleukin-33, interleukin-18 receptor 1 and interleukin-13 were associated with an increased risk of POI, while POI may be associated with decreased levels of 15 inflammatory cytokines including C-C motif chemokine ligand 23 and axin-1.

Objective The study aimed to investigate the impact of rare earth elements(REEs)exposure on pregnancy outcomes of in vitro fertilization-embryo transfer(IVF-ET)by analyzing samples from spouses. Methods A total of 141 couples were included.Blood and follicular fluid from the wives and semen plasma from the husbands,were analyzed for REEs using inductively coupled plasma mass spectrometry(ICP-MS).Spearman's correlation coefficients and the Mann-Whitney U test were used to assess correlations and compare REE concentrations among three types of samples,respectively.Logistic models were utilized to estimate the individual REE effect on IVF-ET outcomes,while BKMR and WQS models explored the mixture of REE interaction effects on IVF-ET outcomes. Results Higher La concentration in semen(median 0.089 ng/mL,P=0.03)was associated with a lower fertilization rate.However,this effect was not observed after artificial selection intervention through intracytoplasmic sperm injection(ICSI)(P=0.27).In semen,the REEs mixture did not exhibit any significant association with clinical pregnancy. Conclusion Our study revealed a potential association between high La exposure in semen and a decline in fertilization rate,but not clinical pregnancy rate.This is the first to report REEs concentrations in follicular fluid with La,Ce,Pr,and Nd found at significantly lower concentrations than in serum,suggesting that these four REEs may not accumulate in the female reproductive system.However,at the current exposure levels,mixed REEs exposure did not exhibit reproductive toxicity.

OBJECTIVEThis study attempts to test the total amount of 41 inorganic elements in traditional Chinese medicine materials (TCMM), to analyze to surpass the set standard of 5 toxic heavy metal elements and to explore possible method of modification.

METHODBy using microwave as digestion tool, ICP-MS and ICP-AES as detective instrument, 41 elements in 466 samples are tested. While the amount of elements Al, Ca, Fe, K, Mg, Mn, P, S, Sr are determined by ICP-AES, the amount of the rest 32 elements are determined by ICP-MS. SPSS 16.0 is used as the statistical tool for data analysis.

RESULTTesting of reference material Astragalus showed that the measurements of each element are within the reference range, and except for element I, RSD of determination for each element is less than 10%, thus the accuracy and precision of the study method is confirmed. Using above mentioned instruments and methods, general information of elements in 466 TCMM are obtained.

CONCLUSIONThe concentrations of each elements in TCMM varied a lot and are different among each TCMM. The over standard rate of 5 heavy metal elements are lower than previous results, however, the over standard rate is still descending in the order of Cd > Cu > Pb > As > Hg. The content of heavy metal elements in TCMM varies among different areas, especially, over standard of heavy metals are not detected in locality as Gansu, Qinghai, Shanxi, Xinjiang and Hainan provinces.

Drugs, Chinese Herbal ; analysis ; Metals, Heavy ; analysis ; Plants, Medicinal ; chemistry