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A multibiomarker approach helps assess environmental health as it provides a complete tool to understand the effects of environmental stressors on ecosystems and human health. We applied this approach in the central Atlantic Ocean of Morocco, an area subjected to the impact of many types of pollutants, threatening the durability of its resources. In this study, four biomarkers acetylcholinesterase (AChE), glutathione-s-transferase (GST), metallothioneins (MTs), and catalase (CAT) were measured in the digestive gland of the mussel Mytilus galloprovincialis collected from four sites: Imsouane (S1), Cap Ghir (S2), Imi Ouaddar (S3), and Douira (S4). These sites were chosen due to the diversity of impacts ranging from industrial to agricultural and touristic. We also assembled all the enzymatic responses (AChE, GST, CAT, and MTs), using the integrated biomarker response (IBR), to estimate the degree of impact of pollutants at the prospected sites to reveal all the complex interactions between biomarkers and to classify sites via the integrated approach. Results show a seasonal change in biomarker responses with variability between sites. We also recorded the highest levels of AChE inhibition and GST induction in S1, higher levels of catalase activity in S4, and a significant impact on metallothionein concentration in S1 and S3. This project highlights the interest in using a multibiomarker approach to ensure accurate interpretation of biomarker variation to protect the Moroccan coast and its resources., (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

The aim of this study is to evaluate the degree of familial aggregation of type 2 diabetes mellitus in Morocco and to investigate transmission patterns of the disease and their relationships with patients' clinical profiles. Family history of diabetes and clinical data were collected from 232 unrelated type 2 diabetic Moroccan patients. Diabetes status was recorded for first degree (parents, siblings) and second degree relatives (aunts and uncles from both maternal and paternal sides). Among studied subjects, 50% reported at least one relative with diabetes and 24% had at least one parent with diabetes. Familial aggregation of type 2 diabetes was prominent and more important among first degree relatives than second degree relatives (P < 0.01). Moreover, diabetes was more frequent among mothers than fathers of probands (P = 0.02), but this maternal effect was not observed in second degree relatives. There are no significant differences in clinical and metabolic profiles between patients according to the transmission pattern of the disease. In conclusion, these results suggest familial aggregation and excess maternal transmission of type 2 diabetes in the Moroccan studied population.