Association of bilateral oophorectomy with incidence of Parkinson's disease: A systematic review and meta-analysis.

INTRODUCTION: Current evidence in the literature is inconclusive due to conflicting results with regards to an association between B/L (B/L) oophorectomy and Parkinson's disease (PD). We included large, powered studies to assess the association of PD in women who have undergone B/L oophorectomy. METHODS: We conducted a comprehensive search across three databases from inception to October 2022 for observational studies including pre-menopausal or post-menopausal women undergoing B/L oophorectomy. Primary outcome of interest was incidence of PD or parkinsonism. The results for these associations were presented as Risk Ratios (RR) with 95% confidence intervals (CI), which were pooled using a generic invariance weighted random effects model using Review Manager (RevMan). RESULTS: Data was included from a total of 4 studies. No significant association was found between B/L oophorectomy and PD (RR: 1.38; 95% CI: 0.76 to 2.49; I2:89 %) in contrast significant association was found with parkinsonism (RR: 1.80; 95% CI: 1.29 to 2.52). Age at surgery didn't significantly affect Parkinsonism incidence (RR: 0.88; 95% CI: 0.59 to 1.3). No significant association was found between ovarian indication and Parkinsonism (RR: 1.08; 95% CI: 0.69 to 1.68). B/L oophorectomy with hysterectomy was associated with higher Parkinson's risk compared to without hysterectomy (RR: 1.4; 95% CI: 1.13 to 1.74). Lastly, there was no significant association between Post Menopausal Hormonal (PMH) use and Parkinson's disease (RR: 1.07; 95% CI: 0.92 to 1.26). CONCLUSION: Our findings suggest that B/L oophorectomy is significantly associated with the incidence of Parkinsonism. Further research is needed to understand the potential relationship between oophorectomy and Parkinson's disease.

Morphological, Mineralogical, and Biochemical Characteristics of Particulate Matter in Three Size Fractions (PM10, PM2.5, and PM1) in the Urban Environment.

Air pollution in megacities is increasing due to the dense population index, increasing vehicles, industries, and burning activities that negatively impact human health and climate. There is limited study of air pollution in many megacities of the world including Pakistan. Lahore is a megacity in Pakistan in which the continuous investigation of particulate matter is very important. Therefore, this study investigates particulate matter in three size fractions (PM1, PM2.5, and PM10) in Lahore, a polluted city in south Asia. The particulate matter was collected daily during the winter season of 2019. The average values of PM1, PM2.5, and PM10 were found to be 102.00 ± 64.03, 188.31 ± 49.21, and 279.73 ± 75.04 µg m-3, respectively. Various characterization techniques including X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FT-IR), and scanning electron microscopy (SEM) combined with energy-dispersive X-ray spectroscopy (EDX) were used. FT-IR and XRD techniques identified the minerals and compounds like quartz, peroxides, calcites and vaterite, feldspar group, kaolinite clay minerals, chrysotile, vaterite, illite, hematite, dolomite, calcite, magnesium phosphate, ammonium sulfate, calcium iron oxide, gypsum, vermiculite, CuSO4, and FeSO4. Morphology and elemental composition indicated quartz, iron, biological particles, carbonate, and carbonaceous particles. In addition, various elements like C, O, B, Mg, Si, Ca, Cl, Al, Na, K, Zn, and S were identified. Based on the elemental composition and morphology, different particles along with their percentage were found like carbonaceous- (38%), biogenic- (14%), boron-rich particle- (14%), feldspar- (10%), quartz- (9%), calcium-rich particle- (5%), chlorine-rich particle- (5%), and iron-rich particle (5%)-based. The main sources of the particulate matter included vehicular exertion, biomass consumption, resuspended dust, biological emissions, activities from construction sites, and industrial emissions near the sampling area.