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    Correlated response to selection for litter size environmental variability in rabbits' resilience

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    [EN] Resilience is the ability of an animal to return soon to its initial productivity after facing diverse environmental challenges. This trait is directly related to animal welfare and it plays a key role in fluctuations of livestock productivity. A divergent selection experiment for environmental variance of litter size has been performed successfully in rabbits over ten generations. The objective of this study was to analyse resilience indicators of stress and disease in the divergent lines of this experiment. The high line showed a lower survival rate at birth than the low line (-4.1%). After correcting by litter size, the difference was -3.2%. Involuntary culling rate was higher in the high than in the low line (+12.4%). Before vaccination against viral haemorrhagic disease or myxomatosis, concentration of lymphocytes, C-reactive protein (CRP), complement C3, serum bilirubin, triglycerides and cholesterol were higher in the high line than in the low line (difference between lines +4.5%, +5.6 mu g/ml, +4.6 mg/ml, +7.9 mmol/l, +0.3 mmol/l and +0.4 mmol/l). Immunological and biochemical responses to the two vaccines were similar. After vaccination, the percentage of lymphocytes and CRP concentration were higher in the low line than in the high one (difference between lines +4.0% and +13.1 mu g/ml). The low line also showed a higher increment in bilirubin and triglycerides than the high line (+14.2 v. +8.7 mmol/l for bilirubin and +0.11 v. +0.01 mmol/l for triglycerides); these results would agree with the protective role of bilirubin and triglycerides against the larger inflammatory response found in this line. In relation to stress, the high line had higher basal concentration of cortisol than the low line (+0.2ng/ml); the difference between lines increased more than threefold after the injection of ACTH 1 to 24, the increase being greater in the high line (+0.9 ng/ml) than in the low line (+0.4 ng/ml). Selection for divergent environmental variability of litter size leads to dams with different culling rate for reproductive causes and different kits' neonatal survival. These associations suggest that the observed fitness differences are related to differences in the inflammatory response and the corticotrope response to stress, which are two important components of physiological adaptation to environmental aggressions.This study is supported by the Spanish Ministry of Economy and Competitiveness (MINECO) with the Projects AGL2014-55921, C2-1-P and C2-2-P, and AGL2017-86083, C2-1-P and C2-2-P.Argente, M.; Garcia, M.; Zbynovska, K.; Petruska, P.; Capcarova, M.; Blasco Mateu, A. (2019). 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    ĐžĐŽĐœĐŸĐșĐŸĐ»Đ”ĐčĐœŃ‹Đ” траĐșŃ‚ĐŸŃ€ĐœĐŸ-Đ»Đ”ĐŽŃĐœŃ‹Đ” ĐŽĐŸŃ€ĐŸĐłĐž: ŃƒŃ‡Đ”Đ±ĐœĐŸĐ” ĐżĐŸŃĐŸĐ±ĐžĐ” ĐŽĐ»Ń Đ»Đ”ŃĐŸŃ‚Đ”Ń…ĐœĐžŃ‡Đ”ŃĐșох ĐČŃƒĐ·ĐŸĐČ

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    ĐšĐœĐžĐłĐ° ŃĐŸĐŽĐ”Ń€Đ¶ĐžŃ‚ ĐŸĐżĐžŃĐ°ĐœĐžĐ” ĐșĐŸĐœŃŃ‚Ń€ŃƒĐșцоĐč ĐŸĐŽĐœĐŸĐżĐŸĐ»ĐŸĐ·ĐœŃ‹Ń… траĐșŃ‚ĐŸŃ€ĐœŃ‹Ń… ŃĐ°ĐœĐ”Đč, расчДт ĐŸŃĐœĐŸĐČĐœŃ‹Ń… ЎДталДĐč ŃĐ°ĐœĐ”Đč, ĐșратĐșОД Ń‚Đ”Ń…ĐœĐžŃ‡Đ”ŃĐșОД ŃƒŃĐ»ĐŸĐČоя ĐżŃ€ĐŸĐ”ĐșŃ‚ĐžŃ€ĐŸĐČĐ°ĐœĐžŃ ĐŸĐŽĐœĐŸĐșĐŸĐ»Đ”ĐčĐœŃ‹Ń… траĐșŃ‚ĐŸŃ€ĐœĐŸ-Đ»Đ”ĐŽŃĐœŃ‹Ń… ĐŽĐŸŃ€ĐŸĐł, праĐČОла ĐżĐŸŃŃ‚Ń€ĐŸĐčĐșĐž Đž эĐșŃĐżĐ»ŃƒĐ°Ń‚Đ°Ń†ĐžĐž Đ»Đ”ĐŽŃĐœŃ‹Ń… ĐŽĐŸŃ€ĐŸĐł Đž ĐŸŃĐœĐŸĐČы ĐŸŃ€ĐłĐ°ĐœĐžĐ·Đ°Ń†ĐžĐž траĐșŃ‚ĐŸŃ€ĐœĐŸĐłĐŸ Ń…ĐŸĐ·ŃĐčстĐČĐ° ĐœĐ° базД ĐŸĐŽĐœĐŸĐșĐŸĐ»Đ”ĐčĐœŃ‹Ń… Đ»Đ”ĐŽŃĐœŃ‹Ń… ĐŽĐŸŃ€ĐŸĐł. ĐšĐœĐžĐłĐ° ĐżŃ€Đ”ĐŽĐœĐ°Đ·ĐœĐ°Ń‡Đ”ĐœĐ° ĐČ ĐșачДстĐČĐ” ŃƒŃ‡Đ”Đ±ĐœĐŸĐłĐŸ ĐżĐŸŃĐŸĐ±ĐžŃ ĐŽĐ»Ń Đ»Đ”ŃĐŸŃ‚Đ”Ń…ĐœĐžŃ‡Đ”ŃĐșох ĐČŃƒĐ·ĐŸĐČ, ĐœĐŸ ĐŒĐŸĐ¶Đ”Ń‚ таĐșжД ŃĐ»ŃƒĐ¶ĐžŃ‚ŃŒ праĐșтОчДсĐșĐžĐŒ ĐżĐŸŃĐŸĐ±ĐžĐ”ĐŒ Đž ĐŽĐ»Ń ĐČŃ‹ŃŃˆĐ”ĐłĐŸ Ń‚Đ”Ń…ĐœĐžŃ‡Đ”ŃĐșĐŸĐłĐŸ ĐżĐ”Ń€ŃĐŸĐœĐ°Đ»Đ° Đ»Đ”ŃĐŸĐ·Đ°ĐłĐŸŃ‚ĐŸĐČĐžŃ‚Đ”Đ»ŃŒĐœŃ‹Ń… ĐżŃ€Đ”ĐŽĐżŃ€ĐžŃŃ‚ĐžĐč НарĐșĐŸĐŒĐ»Đ”ŃĐ° ĐĄĐĄĐĄĐ .0|7|ĐŸŃ€Đ”ĐŽĐžŃĐ»ĐŸĐČОД [c. 7]0|8|ВĐČĐ”ĐŽĐ”ĐœĐžĐ” [c. 8]0|11|Đ’ĐŸĐ·ĐœĐžĐșĐœĐŸĐČĐ”ĐœĐžĐ” Đž разĐČОтОД ĐșĐŸĐœŃŃ‚Ń€ŃƒĐșцоо ĐŸĐŽĐœĐŸĐżĐŸĐ»ĐŸĐ·ĐœŃ‹Ń… ŃĐ°ĐœĐ”Đč [c. 11]1|11|ĐŸĐ”Ń€ĐČŃ‹Đ” ĐŸĐżŃ‹Ń‚Ń‹ [c. 11]1|12|ĐŸŃ€ĐžĐœŃ†ĐžĐż Ń€Đ°Đ±ĐŸŃ‚Ń‹ ĐŸĐŽĐœĐŸĐșĐŸĐ»Đ”ĐčĐœĐŸĐč Đ»Đ”ĐŽŃĐœĐŸĐč ĐŽĐŸŃ€ĐŸĐłĐž Đž Ń‚Đ”ĐŸŃ€Đ”Ń‚ĐžŃ‡Đ”ŃĐșОД ĐŸŃĐœĐŸĐČĐ°ĐœĐžŃ ĐżŃ€ĐŸĐ”ĐșŃ‚ĐžŃ€ĐŸĐČĐ°ĐœĐžŃ ĐŸĐŽĐœĐŸĐżĐŸĐ»ĐŸĐ·ĐœŃ‹Ń… ŃĐ°ĐœĐ”Đč [c. 12]1|17|ĐšĐŸĐœŃŃ‚Ń€ŃƒĐșцоя пДрĐČых ĐŸĐŽĐœĐŸĐżĐŸĐ»ĐŸĐ·ĐœŃ‹Ń… ŃĐ°ĐœĐ”Đč [c. 17]1|17|ĐžĐŽĐœĐŸĐżĐŸĐ»ĐŸĐ·ĐœŃ‹Đ” ŃĐ°ĐœĐž Đ’ĐŸŃŃ‚ĐŸĐșĐŸŃŃ‚Đ°Đ»ŃŒĐ»Đ”ŃĐ° [c. 17]1|19|ОЮĐșĐŸĐżĐŸĐ»ĐŸĐ·ĐœŃ‹Đ” ŃĐ°ĐœĐž ЩНИИМЭ, ĐŒĐŸĐŽĐ”Đ»ŃŒ Б [c. 19]1|21|ĐžĐŽĐœĐŸĐżĐŸĐ»ĐŸĐ·ĐœŃ‹Đ” ŃĐ°ĐœĐž ĐœĐ° базД ĐżĐŸĐșĐŸĐČĐŸĐș траĐșŃ‚ĐŸŃ€ĐœŃ‹Ń… ĐŽĐČŃƒŃ…ĐżĐŸĐ»ĐŸĐ·ĐœŃ‹Ń… ŃĐ°ĐœĐ”Đč ĐŒĐŸĐŽĐ”Đ»Đž Д [c. 21]1|22|ĐžĐŽĐœĐŸĐżĐŸĐ»ĐŸĐ·ĐœŃ‹Đ” ŃĐ°ĐœĐž ĐŻ. И. Đ“ĐžĐœĐ·Đ±ŃƒŃ€ĐłĐ° ĐŒĐŸĐŽĐ”Đ»Đž 1939 Đł. [c. 22]1|33|ĐžĐŽĐœĐŸĐżĐŸĐ»ĐŸĐ·ĐœŃ‹Đ” ŃĐ°ĐœĐž ГЗЯ-2 [c. 33]1|39|Đ’Đ°Ń€ĐžĐ°ĐœŃ‚Ń‹ ŃĐŸĐ”ĐŽĐžĐœĐ”ĐœĐžŃ ĐșĐŸĐœĐžĐșĐ° с ĐżĐŸĐ»ĐŸĐ·ĐŸĐŒ [c. 39]1|39|ĐœĐŸĐŽĐ”Ń€ĐœĐžĐ·ĐžŃ€ĐŸĐČĐ°ĐœĐœŃ‹Đ” ĐŸĐŽĐœĐŸĐżĐŸĐ»ĐŸĐ·ĐœŃ‹Đ” ŃĐ°ĐœĐž ĐœĐ° базД ĐżĐŸĐșĐŸĐČĐŸĐș ŃĐ°ĐœĐ”Đč ĐŒĐŸĐŽĐ”Đ»Đž ĐĄĐČДрЎлДса Đž Đ’ĐŸŃŃ‚ĐŸĐșĐŸŃŃ‚Đ°Đ»ŃŒĐ»Đ”ŃĐ° [c. 39]1|44|БДсĐșĐŸĐœĐžĐșĐŸĐČŃ‹Đ” ĐŸĐŽĐœĐŸĐżĐŸĐ»ĐŸĐ·ĐœŃ‹Đ” ŃĐ°ĐœĐž ĐșĐŸĐœŃŃ‚Ń€ŃƒĐșцоо ĐĄĐžĐ±ĐĐ˜Đ˜Đ›Đ„Đ­ [c. 44]1|46|Đ‘ŃƒŃ„Đ”Ń€ĐœĐŸ-ĐżŃ€ĐžŃ†Đ”ĐżĐœŃ‹Đ” ŃƒŃŃ‚Ń€ĐŸĐčстĐČĐ° траĐșŃ‚ĐŸŃ€Đ° ĐșĐŸĐœŃŃ‚Ń€ŃƒĐșцоо УЛбИ, ĐĄĐŸŃ‚Ń€ĐžĐœŃĐșĐŸĐłĐŸ ĐŒĐ”Ń…Đ»Đ”ŃĐŸĐżŃƒĐœĐșта Đž ĐĄŃ‚Ń€ĐŸĐčĐ»Đ”ŃĐżŃ€ĐŸĐ”Đșта [c. 46]1|48|АĐČŃ‚ĐŸĐŒĐ°Ń‚ĐžŃ‡Đ”ŃĐșая сцДпĐșĐ° траĐșŃ‚ĐŸŃ€ĐœŃ‹Ń… ŃĐ°ĐœĐ”Đč [c. 48]1|49|Đ Đ°ĐŒĐ° ĐŽĐ»Ń пДрДĐČĐŸĐ·ĐșĐž ĐșĐŸŃ€ĐŸŃ‚ŃŒŃ ĐœĐ° ĐŸĐŽĐœĐŸĐżĐŸĐ»ĐŸĐ·ĐœŃ‹Ń… ŃĐ°ĐœŃŃ… [c. 49]1|51|РасчДт ŃĐ°ĐœĐ”Đč [c. 51]1|51|РасчДт ĐżĐŸĐ»ĐŸĐ·Đ° [c. 51]1|58|О Ń„ĐŸŃ€ĐŒĐ” ĐżĐŸĐŽŃ€Đ”Đ·ĐŸĐČ [c. 58]0|61|ĐŸĐŸŃŃ‚Ń€ĐŸĐčĐșĐ° ĐŸĐŽĐœĐŸĐșĐŸĐ»Đ”ĐčĐœŃ‹Ń… Đ»Đ”ĐŽŃĐœŃ‹Ń… ĐŽĐŸŃ€ĐŸĐł [c. 61]1|61|ĐŁŃĐ»ĐŸĐČоя ĐżŃ€ĐžĐŒĐ”ĐœĐ”ĐœĐžŃ, ŃŃ‹Ń€ŃŒĐ”ĐČая база Đž ĐżĐŸŃ€ŃĐŽĐŸĐș ĐŸŃ„ĐŸŃ€ĐŒĐ»Đ”ĐœĐžŃ ŃŃ‚Ń€ĐŸĐžŃ‚Đ”Đ»ŃŒŃŃ‚ĐČĐ° [c. 61]1|62|ĐąĐ”Ń…ĐœĐžŃ‡Đ”ŃĐșОД ŃƒŃĐ»ĐŸĐČоя ĐżŃ€ĐŸĐ”ĐșŃ‚ĐžŃ€ĐŸĐČĐ°ĐœĐžŃ ĐŸĐŽĐœĐŸĐșĐŸĐ»Đ”ĐčĐœŃ‹Ń… Đ»Đ”ĐŽŃĐœŃ‹Ń… ĐŽĐŸŃ€ĐŸĐł [c. 62]1|72|Đ˜Đ·Ń‹ŃĐșĐ°ĐœĐžŃ трасс ĐŸĐŽĐœĐŸĐșĐŸĐ»Đ”ĐčĐœŃ‹Ń… Đ»Đ”ĐŽŃĐœŃ‹Ń… ĐŽĐŸŃ€ĐŸĐł [c. 72]1|73|ĐĄŃ‚Ń€ĐŸĐžŃ‚Đ”Đ»ŃŒĐœŃ‹Đ” Ń€Đ°Đ±ĐŸŃ‚Ń‹ ĐœĐ° ĐŸĐŽĐœĐŸĐșĐŸĐ»Đ”ĐčĐœŃ‹Ń… Đ»Đ”ĐŽŃĐœŃ‹Ń… ĐŽĐŸŃ€ĐŸĐłĐ°Ń… [c. 73]1|85|Đ”ĐŸŃ€ĐŸĐ¶ĐœŃ‹Đ” ĐŸŃ€ŃƒĐŽĐžŃ ĐŽĐ»Ń ŃŃ‚Ń€ĐŸĐžŃ‚Đ”Đ»ŃŒŃŃ‚ĐČĐ° ĐŸĐŽĐœĐŸĐșĐŸĐ»Đ”ĐčĐœŃ‹Ń… Đ»Đ”ĐŽŃĐœŃ‹Ń… ĐŽĐŸŃ€ĐŸĐł [c. 85]1|91|ĐŠĐžŃŃ‚Đ”Ń€ĐœŃ‹ ĐŽĐ»Ń ĐżĐŸĐ»ĐžĐČĐșĐž Đ»Đ”ĐŽŃĐœĐŸĐč ĐŽĐŸŃ€ĐŸĐłĐž [c. 91]1|91|ĐĐ°ŃĐŸŃĐœŃ‹Đ” ŃŃ‚Đ°ĐœŃ†ĐžĐž [c. 91]0|95|Đ­ĐșŃĐżĐ»ŃƒĐ°Ń‚Đ°Ń†ĐžŃ Đ»Đ”ĐŽŃĐœŃ‹Ń… ĐŽĐŸŃ€ĐŸĐł [c. 95]1|95|ĐąĐ”Ń…ĐœĐžŃ‡Đ”ŃĐșая хараĐșтДрОстОĐșĐ° Ń‚ŃĐłĐŸĐČых ĐŒĐ°ŃˆĐžĐœ [c. 95]1|107|Đ­ĐșŃĐżĐ»ŃƒĐ°Ń‚Đ°Ń†ĐžŃ ĐłĐ°Đ·ĐŸĐłĐ”ĐœĐ”Ń€Đ°Ń‚ĐŸŃ€ĐœŃ‹Ń… траĐșŃ‚ĐŸŃ€ĐŸĐČ ĐœĐ° Đ»Đ”ŃĐŸĐČыĐČĐŸĐ·ĐșĐ” ĐżĐŸ Đ»Đ”ĐŽŃĐœŃ‹ĐŒ ĐŽĐŸŃ€ĐŸĐłĐ°ĐŒ [c. 107]1|115|ПраĐČОла ĐČĐŸĐ¶ĐŽĐ”ĐœĐžŃ ĐżĐŸĐ”Đ·ĐŽĐŸĐČ [c. 115]1|117|Đ€ĐŸŃ€ĐŒĐžŃ€ĐŸĐČĐ°ĐœĐžĐ” ŃĐŸŃŃ‚Đ°ĐČĐ° Đž ĐŒĐ°ĐœĐ”ĐČры [c. 117]1|117|ĐĄĐŸĐŽĐ”Ń€Đ¶Đ°ĐœĐžĐ” Đž Ń€Đ”ĐŒĐŸĐœŃ‚ путо Đ»Đ”ĐŽŃĐœĐŸĐč ĐŽĐŸŃ€ĐŸĐłĐž [c. 117]1|119|ĐąĐ”Ń…ĐœĐžĐșĐ° Đ±Đ”Đ·ĐŸĐżĐ°ŃĐœĐŸŃŃ‚Đž про ĐČыĐČĐŸĐ·ĐșĐ” лДса ĐżĐŸ траĐșŃ‚ĐŸŃ€ĐœŃ‹ĐŒ Đ»Đ”ĐŽŃĐœŃ‹ĐŒ ĐŽĐŸŃ€ĐŸĐłĐ°ĐŒ [c. 119]1|121|ĐžŃĐœĐŸĐČĐœŃ‹Đ” праĐČОла ĐżĐŸ Ń‚Đ”Ń…ĐœĐžĐșĐ” Đ±Đ”Đ·ĐŸĐżĐ°ŃĐœĐŸŃŃ‚Đž ĐŽĐ»Ń траĐșŃ‚ĐŸŃ€ĐœĐŸĐłĐŸ Đ»Đ”ŃĐŸŃ‚Ń€Đ°ĐœŃĐżĐŸŃ€Ń‚Đ° [c. 121]0|123|ĐŸŃ€ĐžĐ»ĐŸĐ¶Đ”ĐœĐžŃ [c. 123]1|123|ДДталО ĐŸĐŽĐœĐŸĐżĐŸĐ»ĐŸĐ·ĐœŃ‹Ń… ŃĐ°ĐœĐ”Đč ГЗЯ-1 [c. 123]1|136|ДДталО ĐŒĐŸĐŽĐ”Ń€ĐœĐžĐ·ĐžŃ€ĐŸĐČĐ°ĐœĐœŃ‹Ń… ĐŸĐŽĐœĐŸĐżĐŸĐ»ĐŸĐ·ĐœŃ‹Ń… ŃĐ°ĐœĐ”Đč ĐœĐ° базД ĐżĐŸĐșĐŸĐČĐŸĐș ŃĐ°ĐœĐ”Đč ĐĄĐČДрЎллДса [c. 136]1|141|КратĐșая Ń‚Đ”Ń…ĐœĐžŃ‡Đ”ŃĐșая хараĐșтДрОстОĐșĐ° ĐłŃƒŃĐ”ĐœĐžŃ‡ĐœŃ‹Ń… траĐșŃ‚ĐŸŃ€ĐŸĐČ Đ§Đ”Đ»ŃĐ±ĐžĐœŃĐșĐŸĐłĐŸ траĐșŃ‚ĐŸŃ€ĐœĐŸĐłĐŸ Đ·Đ°ĐČĐŸĐŽĐ° [c. 141]0|143|ОглаĐČĐ»Đ”ĐœĐžĐ” [c. 143

    Impact of maternal education on response to lifestyle interventions to reduce gestational weight gain: Individual participant data meta-Analysis

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    Objectives To identify if maternal educational attainment is a prognostic factor for gestational weight gain (GWG), and to determine the differential effects of lifestyle interventions (diet based, physical activity based or mixed approach) on GWG, stratified by educational attainment. Design Individual participant data meta-Analysis using the previously established International Weight Management in Pregnancy (i-WIP) Collaborative Group database (https://iwipgroup.wixsite.com/collaboration). Preferred Reporting Items for Systematic reviews and Meta-Analysis of Individual Participant Data Statement guidelines were followed. Data sources Major electronic databases, from inception to February 2017. Eligibility criteria Randomised controlled trials on diet and physical activity-based interventions in pregnancy. Maternal educational attainment was required for inclusion and was categorised as higher education ( 65tertiary) or lower education ( 64secondary). Risk of bias Cochrane risk of bias tool was used. Data synthesis Principle measures of effect were OR and regression coefficient. Results Of the 36 randomised controlled trials in the i-WIP database, 21 trials and 5183 pregnant women were included. Women with lower educational attainment had an increased risk of excessive (OR 1.182; 95% CI 1.008 to 1.385, p =0.039) and inadequate weight gain (OR 1.284; 95% CI 1.045 to 1.577, p =0.017). Among women with lower education, diet basedinterventions reduced risk of excessive weight gain (OR 0.515; 95% CI 0.339 to 0.785, p = 0.002) and inadequate weight gain (OR 0.504; 95% CI 0.288 to 0.884, p=0.017), and reduced kg/week gain (B-0.055; 95% CI-0.098 to-0.012, p=0.012). Mixed interventions reduced risk of excessive weight gain for women with lower education (OR 0.735; 95% CI 0.561 to 0.963, p=0.026). Among women with high education, diet based interventions reduced risk of excessive weight gain (OR 0.609; 95% CI 0.437 to 0.849, p=0.003), and mixed interventions reduced kg/week gain (B-0.053; 95% CI-0.069 to-0.037,p<0.001). Physical activity based interventions did not impact GWG when stratified by education. Conclusions Pregnant women with lower education are at an increased risk of excessive and inadequate GWG. Diet based interventions seem the most appropriate choice for these women, and additional support through mixed interventions may also be beneficial

    An update of the Worldwide Integrated Assessment (WIA) on systemic insecticides. Part 2: impacts on organisms and ecosystems

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    New information on the lethal and sublethal effects of neonicotinoids and fipronil on organisms is presented in this review, complementing the previous WIA in 2015. The high toxicity of these systemic insecticides to invertebrates has been confirmed and expanded to include more species and compounds. Most of the recent research has focused on bees and the sublethal and ecological impacts these insecticides have on pollinators. Toxic effects on other invertebrate taxa also covered predatory and parasitoid natural enemies and aquatic arthropods. Little, while not much new information has been gathered on soil organisms. The impact on marine coastal ecosystems is still largely uncharted. The chronic lethality of neonicotinoids to insects and crustaceans, and the strengthened evidence that these chemicals also impair the immune system and reproduction, highlights the dangers of this particular insecticidal classneonicotinoids and fipronil. , withContinued large scale – mostly prophylactic – use of these persistent organochlorine pesticides has the potential to greatly decreasecompletely eliminate populations of arthropods in both terrestrial and aquatic environments. Sublethal effects on fish, reptiles, frogs, birds and mammals are also reported, showing a better understanding of the mechanisms of toxicity of these insecticides in vertebrates, and their deleterious impacts on growth, reproduction and neurobehaviour of most of the species tested. This review concludes with a summary of impacts on the ecosystem services and functioning, particularly on pollination, soil biota and aquatic invertebrate communities, thus reinforcing the previous WIA conclusions (van der Sluijs et al. 2015)

    Gender differences in the use of cardiovascular interventions in HIV-positive persons; the D:A:D Study

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    Peer reviewe

    Global proteome changes in the rat diaphragm induced by endurance exercise training

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    Mechanical ventilation (MV) is a life-saving intervention for many critically ill patients. Unfor- tunately, prolonged MV results in the rapid development of diaphragmatic atrophy and weakness. Importantly, endurance exercise training results in a diaphragmatic phenotype that is protected against ventilator-induced diaphragmatic atrophy and weakness. The mechanisms responsible for this exercise-induced protection against ventilator-induced dia- phragmatic atrophy remain unknown. Therefore, to investigate exercise-induced changes in diaphragm muscle proteins, we compared the diaphragmatic proteome from sedentary and exercise-trained rats. Specifically, using label-free liquid chromatography-mass spectrome- try, we performed a proteomics analysis of both soluble proteins and mitochondrial proteins isolated from diaphragm muscle. The total number of diaphragm proteins profiled in the sol- uble protein fraction and mitochondrial protein fraction were 813 and 732, respectively. Endurance exercise training significantly (P<0.05, FDR <10%) altered the abundance of 70 proteins in the soluble diaphragm proteome and 25 proteins of the mitochondrial proteome. In particular, key cytoprotective proteins that increased in relative abundance following exer- cise training included mitochondrial fission process 1 (Mtfp1; MTP18), 3-mercaptopyruvate sulfurtransferase (3MPST), microsomal glutathione S-transferase 3 (Mgst3; GST-III), and heat shock protein 70 kDa protein 1A/1B (HSP70). While these proteins are known to be cytoprotective in several cell types, the cyto-protective roles of these proteins have yet to be fully elucidated in diaphragm muscle fibers. Based upon these important findings, future experiments can now determine which of these diaphragmatic proteins are sufficient and/or required to promote exercise-induced protection against inactivity-induced muscle atrophy

    Identification of sixteen novel candidate genes for late onset Parkinson’s disease

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    Background Parkinson’s disease (PD) is a neurodegenerative movement disorder affecting 1–5% of the general population for which neither effective cure nor early diagnostic tools are available that could tackle the pathology in the early phase. Here we report a multi-stage procedure to identify candidate genes likely involved in the etiopathogenesis of PD. Methods The study includes a discovery stage based on the analysis of whole exome data from 26 dominant late onset PD families, a validation analysis performed on 1542 independent PD patients and 706 controls from different cohorts and the assessment of polygenic variants load in the Italian cohort (394 unrelated patients and 203 controls). Results Family-based approach identified 28 disrupting variants in 26 candidate genes for PD including PARK2, PINK1, DJ-1(PARK7), LRRK2, HTRA2, FBXO7, EIF4G1, DNAJC6, DNAJC13, SNCAIP, AIMP2, CHMP1A, GIPC1, HMOX2, HSPA8, IMMT, KIF21B, KIF24, MAN2C1, RHOT2, SLC25A39, SPTBN1, TMEM175, TOMM22, TVP23A and ZSCAN21. Sixteen of them have not been associated to PD before, were expressed in mesencephalon and were involved in pathways potentially deregulated in PD. Mutation analysis in independent cohorts disclosed a significant excess of highly deleterious variants in cases (p = 0.0001), supporting their role in PD. Moreover, we demonstrated that the co-inheritance of multiple rare variants (≄ 2) in the 26 genes may predict PD occurrence in about 20% of patients, both familial and sporadic cases, with high specificity (> 93%; p = 4.4 × 10− 5). Moreover, our data highlight the fact that the genetic landmarks of late onset PD does not systematically differ between sporadic and familial forms, especially in the case of small nuclear families and underline the importance of rare variants in the genetics of sporadic PD. Furthermore, patients carrying multiple rare variants showed higher risk of manifesting dyskinesia induced by levodopa treatment. Conclusions Besides confirming the extreme genetic heterogeneity of PD, these data provide novel insights into the genetic of the disease and may be relevant for its prediction, diagnosis and treatment
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