Cadmium(II) is an omnipresent environmental toxicant emitted from various industrial sources and by anthropogenic sources such as smoking. Cadmium(II) enters our body through various sources including contaminated food and drinks and from active or passive smoking. It spares no organs in our body and the calamities it invites include primarily nephrotoxicity, osteotoxicity, teratogenicity, endocrine disruption, hepatotoxicity and carcinogenicity above all. It brings about a bolt from the blue in the cellular biochemistry by generating reactive oxygen species (ROS), disrupting the factors involved in the repair of DNA lesions and many other toxic nuisances otherwise by modulating the cell signalling machinery and acting as a potent carcinogen above all. In this review, we have tried to decipher some of the mechanisms played by cadmium(II) in exhibiting its toxic effects on various system of our body.

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Background: Parkinson's disease (PD) is a multifaceted illness affecting ~ 0.3% of the world population. The genetic complexity of PD has not been, fully elucidated. Several studies suggest that mitochondrial DNA variants are associated with PD. Objective: Here, we have explored the possibility of genetic association between mitochondrial haplogroups as well as three independent SNPs with PD in a representative east Indian population. Methods and Material: The Asian mtDNA haplogroups: M, N, R, B, D, M7, and 3 other SNPs: 4336 T/C, 9055 G/A, 13708 G/A were genotyped in 100 sporadic PD patients and 100 matched controls via conventional PCR-RFLP-sequencing approach. Results: The distribution of mtDNA haplogroups, as well as 3 single polymorphisms, did not show any significant differences (P > 0.05) between patients and controls. Conclusion: This is the first of its kind of study from India that suggests no association of selected mitochondrial DNA variations with PD.

Purpose: To examine trends in female authorship of peer-reviewed North American radiology articles centred around artificial intelligence (AI). Method: A bibliographic search was conducted for all AI-related articles published in four North American radiology journals. Collected data included the genders of the first and last (senior) authors, year and country. We compared the trends of female authorship using Pearson chi-square, Fisher exact tests and logistic regression models. Results: 453 articles met the inclusion criteria. Among these, 107 (22.3%) had a female first author and 97 (27.3%) had a female senior author. Female first authors were over three times more likely to publish with a female senior author. Among the four journals, the CARJ had the highest proportion of female senior authors at 45.5%. The only significant temporal trend identified was an increase over the years in female senior authors in Radiology. Twenty-four countries contributed to the included articles, with the largest contributors being the United States (n = 290) and Canada (n = 30). Of the countries contributing more than 15 articles, there were none with above 50% female authorship. Conclusions: Female authors are underrepresented in AI-related radiology literature. However, there has been an encouraging recent increase in female authorship in AI-related radiology articles trending towards significance. There is a great opportunity to improve female representation in AI with intentional mentorship and recruitment. We urge more platforms for female voices in radiology as AI becomes increasingly integrated into the radiology community.

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