Search

The extracellular matrix, composed mainly of collagen, is considered responsible for the residual toughness of meat. Matrix metalloproteinases (MMP) responsible for the degradation of connective tissue are found in most tissues, but their participation in meat aging has not been tested. We recently showed that skeletal muscle has multiple MMP activities, as well as regulators and tissue inhibitors of metalloproteinases. Here we present the first observations of physiologic and postmortem variation of MMP activities in muscle. Growing lambs were offered two levels of intake: hay + concentrate for lambs with high growth rate (average daily gain > 250 g) and hay only for those with low growth rate (average daily gain < 25 g). At slaughter and at 21 d of postmortem aging of longissimus and semimembranosus muscles, we studied collagen content, collagen solubility, free hydroxyproline (OH-pro), and levels of latent and active forms of a matrix metalloproteinase (MMP-2) by gelatin zymography. Our results demonstrate the presence of an active isoform of MMP-2 in lamb muscle. Its level was higher (+90%, P < 0.01) in lambs that expressed a high growth rate. Activity of MMP-2 was also present at 21 d postmortem, at levels similar to those detected at slaughter. At slaughter and at 21 d, all muscles contained latent MMP-2 and the quantity of proenzyme was greater than that present in the activated form. The levels of free OH-pro in muscles of lambs with high growth rate increased significantly (P < 0.001) over 21 d from 3.75 to 5.08% of total collagen, and this was significantly related to the level of active MMP-2 at slaughter. By contrast, the amount of free OH-pro in muscles of lambs with low growth rate was not different at 21 d (1.63% of total OH-pro) than it had been at slaughter (1.84% of total OH-pro). These results suggest that collagen degradation all the way to free amino acids occurs postmortem in muscle and that there are active MMP simultaneously present that may account for this catabolism. The growth rate of animals at slaughter influences collagen turnover in vivo, as well as postmortem collagen degradation. Key Words: Aging, Collagen, Growth, Hydroxyproline, Lambs, Metalloproteinase

The Eurasian perch,Perca fluviatilisL., has good potential as a candidate for inland aquaculture diversification in Europe. To aid the development of this new product, we define a quality reference based on attributes of wild perch, and compare the quality of perch reared in three different culture systems:(1) extensive(pond),(2) semi-extensive(tank) and(3) intensive(re-circulation system). In order to define a precise quality reference, it is necessary to characterize the spatial and seasonal variability in quality attributes of wild fish. To do so, wild perch were harvested every three month for a full biological cycle from two different natural systems(Lake Geneva in France and the River Rhine in the Netherlands). Two components of quality were taken into account: organoleptical(colour of skin and fillets(L*C*H° system; 12 variables), seven morphological measurements) and six technological components(viscero, hepato and gonadosomatic index, perivisceral fat index, fillet yield and condition factor K2). Using Principal Component Analysis, we show that within-season variability is high, particularly for Rhine perch. Perch from the Rhine have a compact body and caudal fin, and possess a longer mouth and head than perch from Lake Genva. Reared fish possess wild-like characteristics except for technological variables. Fish from extensive and semi-extensive system show similar attributes, while fish from intensive rearing systems show a higher viscerosomatic and perivisceral fat index. [ABSTRACT FROM AUTHOR]

A continuous daily oral dose of 99TcO4− (5 Bq g−1 day−1) was given to young rats for 56 days. In one group the intake was continued for 98 days, while in the other the intake was stopped to faciliatate the determination of biological half lives in different organs and tissues. The absorbed fraction of 99Tc increased from 0.7 to 0.9 during the experimental period (m=0.85 σ=0.02). The whole body retained fraction (m=0.15 σ=0.05) indicated a storage in the tissues. The liver and kidneys showed increasing concentrations of 99Tc until a plateau was reached after 6 and 9 weeks, then a rapid decline after the intake was stopped (half life of 6 and 5 days respectively). In hair and thyroid tissue, the accumulation of 99Tc increased linearly then declined very slowly after the intake was stopped and did not reach a plateau during the experiment. No significant amounts of 99Tc were detected in the muscular tissues or in the walls of the digestive tract. After the contamination period, urinary and fecal excretions fell off very quickly (1 week), but significant, though low, quantities of urinary and fecal excretions were still observed 6 weeks after stopping intake. [Copyright &y& Elsevier]

Background: Evidence for the efficacy of nusinersen in adults with 5q-associated spinal muscular atrophy (SMA) has been demonstrated up to a period of 16 months in relatively large cohorts but whereas patients reach a plateau over time is still to be demonstrated. We investigated the efficacy and safety of nusinersen in adults with SMA over 38 months, the longest time period to date in a large cohort of patients from multiple clinical sites., Methods: Our prospective, observational study included adult patients with SMA from Germany, Switzerland, and Austria (July 2017 to May 2022). All participants had genetically-confirmed, 5q-associated SMA and were treated with nusinersen according to the label. The total Hammersmith Functional Motor Scale Expanded (HFMSE) and Revised Upper Limb Module (RULM) scores, and 6-min walk test (6 MWT; metres), were recorded at baseline and 14, 26, and 38 months after treatment initiation, and pre and post values were compared. Adverse events were also recorded., Findings: Overall, 389 patients were screened for eligibility and 237 were included. There were significant increases in all outcome measures compared with baseline, including mean HFMSE scores at 14 months (mean difference 1.72 [95% CI 1.19-2.25]), 26 months (1.20 [95% CI 0.48-1.91]), and 38 months (1.52 [95% CI 0.74-2.30]); mean RULM scores at 14 months (mean difference 0.75 [95% CI 0.43-1.07]), 26 months (mean difference 0.65 [95% CI 0.27-1.03]), and 38 months (mean difference 0.72 [95% CI 0.25-1.18]), and 6 MWT at 14 months (mean difference 30.86 m [95% CI 18.34-43.38]), 26 months (mean difference 29.26 m [95% CI 14.87-43.65]), and 38 months (mean difference 32.20 m [95% CI 10.32-54.09]). No new safety signals were identified., Interpretation: Our prospective, observational, long-term (38 months) data provides further real-world evidence for the continuous efficacy and safety of nusinersen in a large proportion of adult patients with SMA., Funding: Financial support for the registry from Biogen, Novartis and Roche., Competing Interests: SB, ZU, MH, TK, KM, BI, JB, MTM, TB, BS, SF, CS, MTo, AG, MTue, MS, CR, PB, MFB, CK, KPS, SG, ST, JN, RS, MWeb, GW and OvV declare no conflicts of interest. RG has received personal fees from Biogen and Hoffmann-La Roche and served on advisory boards from Biogen, Hoffmann-La Roche, ITF Pharma, Zambon and research support from Biogen, outside of the submitted work. CDW has received personal fees from Biogen and Hoffmann–La Roche outside of the submitted work. AO has received speaker fees from Biogen outside of the submitted work. OSK received academic research support from the Hannover Medical School (MHH) and the German Neuromuscular Society “Deutsche Gesellschaft fuer Muskelkranke” (DGM e.V.), 2019–2021 (grant no. Sc 23/1); and received honoraria as a speaker and/or funding for travel expenses from the German Neuromuscular Society “Deutsche Gesellschaft fuer Muskelkranke (DGM e.V.), Biogen GmbH, Biermann Verlag GmbH, and MK + S—Medizin, Kommunikation & Service GmbH, outside the submitted work. SP has received speaker fees, non-financial support and research support from Biogen, Roche, AL-S Pharma, Amylyx, Cytokinetics, Ferrer, ITF-Pharma, Zambon, and Sanofi and served on advisory boards of Amylyx, Biogen, Roche, Zambon and ITF Pharma outside of the submitted work. MCW has served on advisory boards for Avexis, Biogen, Grünenthal, Novartis, Pfizer, PharNext, PTC Therapeutics, Roche, Santhera, Sarepta, Ultragenyx, Wave Sciences, received funding for Travel or Speaker Honoraria from Biogen, Novartis, PTC Therapeutics, Santhera, and worked as an ad-hoc consultant for Affinia, Audentes Therapeutics, Avexis, Biogen, BridgeBio, Edgewise, Fulcrum, Grünenthal, ML Bio, Novartis, Pfizer, PharNEXT, PTC Therapeutics, Roche. MWei has received advisory board and consultant honoraria from Biogen and Hoffmann-La Roche, and speaker honoraria and travel support for conference attendance from Biogen, outside of the submitted work. MW is a member of the European Reference Network for Neuromuscular Diseases (ERN EURO-NMD). MF has received a speaker honorarium and non-financial support from Biogen outside the submitted work. HSL is receiving advisory fees from Biogen but has no financial or non-financial conflict of interest to declare related to the content of this manuscript. IC has received research grants and speaker fees from Biogen and Hoffmann-La Roche, outside of the submitted work. PL has received honoraria for advisory boards and consultancies from Stadapharm, Abbvie, Alexion, Bial, ITF Pharma, Desitin, Novartis, Woolsey Pharma outside the scope of this work. MD has received personal fees as speaker/consultant from Biogen and Roche, outside of the submitted work. Aha received research grants from Novartis Gene Therapies, and advisory board honoraria and speaker fees from Biogen, Roche, and Novartis. AR has received advisory board honoraria from Biogen outside of the submitted work. DZ received compensation from Biogen for participation on advisory boards, from Novartis for consultancy work, and travel compensation from Angelini Pharma outside of the submitted work. JCK has received personal fees from Biogen and Roche for advisory boards and development of educational material outside of this study. AHe has received personal fees and non-financial support from Biogen and Desitin for advisory board meetings outside the reported work. CK has received advisory board honoraria from Biogen, Roche and Ipsen Pharma, speaker honoraria from Biogen and unrestricted travel grants from Ipsen outside of the submitted work. SN has received financial support for consultancy and lecturing from Allergan, Hormosan, Lilly, Lundbeck, Novartis, Teva and Medscape, research support from Novartis, all outside of the submitted work. AM has received advisory board honoraria from Hormosan and Sanofi, outside of the submitted work. CN has received personal fees from Biogen and Hoffmann–La Roche outside of the submitted work. HCL received honoraria for speaking and advisory board engagements or academic research support Biogen. MG has received an advisory board honorarium from Hoffmann-La Roche and a speaker fee from Novartis outside of the submitted work. AP received compensation for advisory boards, training activities and research grants from Novartis and Biogen. JK received compensation for clinical research and/or consultancy activities from Biogen, Novartis, Roche and ScholarRock. GB has received research grants from PTC, advisory board honoraria and speaker fees from Biogen, Hoffmann-La Roche, Novartis, Pfizer, PTC and personal fees from Roche outside of the submitted work. PM has received honorary as an advisory board member from Biogen unrelated to this work. GMzH received compensation for serving on scientific advisory boards (Alexion, Roche, LFB) and speaker honoraria (Alexion). WL received advisory board honoraria and speaker fees from Biogen and Roche outside of the submitted work MFB has received honoraria from Biogen, Roche and Novartis as an advisory board member and for lectures from Novartis. US has received honoraria for counseling at advisory boards and invited talks for Biogen, Novartis and Roche. WMF has received compensation for scientific advisory boards for Biogen, Novartis, PTC, Sarepta, Sanofi-Aventis, Roche and Cytokinetics and received travel expenses and speaker fees from Biogen, Novartis, PTC, Roche, Sarepta and Sanofi-Aventis. HLo received support for research projects and clinical trials from Amplo Biotechnology, AMO Pharma, argenx, Biogen, Desitin, Fulcrum Therapeutics, Harmony Biosciences, KYE Pharmaceuticals, Milo Biotechnology, Novartis, Pfizer, PTC Therapeutics, Hoffman-La Roche Limited, Sanofi-Genzyme, Santhera, Sarepta, Satellos, Spark Therapeutics and Ultragenyx. HL is the Editor-in-chief for the Journal of Neuromuscular Diseases (IOS Press). CK has received compensation for lectures and advisory boards as well as research funds from Biogen, Roche and Novartis. ACL is a member of Advisory Boards of Roche Pharma AG, Biogen, Alector and Amylyx. He received compensation for talks from Biologix, the German Society of Neurology, Biogen, Springer Medicine, Amylyx and the company Streamed Up! GmbH. He is involved in trials which are sponsored by Amylyx, Ferrer International, Novartis Research and Development, Mitsubishi Tanabe, Apellis Pharmaceuticals, Alexion, Orion Pharma, the European Union, BMBF, Biogen and Orphazyme, Ionis Pharmaceuticals, QurAlis and Alector. TH has received research grants, advisory board honoraria and speaker fees from Biogen, Hoffmann-La Roche, Novartis and personal fees from Roche and Novartis outside of the submitted work., (© 2024 The Author(s).)

The histomorphological subtyping of papillary renal cell carcinomas (pRCCs) has improved the predictions of patients' long-term survival. Based on our previous results, we hypothesized that the MYC proto-oncogene would show differential expression in pRCC subtypes. Using a multi-institutional cohort of 204 pRCC patients we assessed the additional value of the immunohistochemical markers MYC, MINA53, and Ki67 in predicting patient's long-term survival. The clinical endpoints were overall survival (OS) and cancer-specific survival (CSS). Nomograms were constructed to predict each patient's risk of death (OS). The incorporation of the MYC staining patterns allowed the stratification of pRCC type 1 patients into better and worse prognostic groups. None of the patients with pRCC type 1 tumors and favorable MYC staining patterns died from tumor-related causes. This prognostic value was independent of the patient's age at surgery, the pathological tumor stage and presence of lymph node invasion. we could show that the immunohistochemical assessment of MYC and the histomorphological subtyping of pRCC stratifies pRCC type 1 tumors with regard to OS and CSS. The determination of the histomorphologic pRCC subtype in combination with the MYC immunohistochemical staining patterns allows a more accurate prediction of patients' individual risk of death.

Fish are often exposed to various molecules like pesticides. Some of these compounds get biomagnified within aquatic food web, inducing health hazards of consumers. However, behaviors of many pesticides are still unknown. This work aims to study the uptake and the elimination of some of them in muscle tissue of edible fish (azoxystrobin, clomazone, diflufenican, dimethachlor, carbendazim, iprodion, isoproturon, mesosulfuron-methyl, metazachlor, napropamid, quizalofop, and thifensulfuron-methyl). Two freshwater fish species (Perca fluviatilis and Cyprinus carpio) were exposed to a mixture of these 13 pesticides, via multi-contaminated pellets, and then, eliminated. Compounds were measured in food, water and muscle tissue using multi-residues methods. Kinetics, biomagnification factors (BMFs) and half-lives (t1/2) were estimated and they did not show a large difference between the species. Muscular BMFs ranged from 2 × 10(-6) (mesosulfuron-methyl in perch) to 1 × 10(-3) (isoproturon and napropamid in perch) and t1/2 ranged from 0.8 (mesosulfuron-methyl in perch) to 40.3d (napropamid in carp). BMFs were also modeled as a function of Kow value. All BMF values were explained by the model, except for diflufenican which had a BMF lower than that expected by our modeling work, probably due to an efficient metabolism. Results led to the conclusion that none of these chemicals would probably be biomagnified within aquatic food webs., (Copyright © 2013 Elsevier Ltd. All rights reserved.)

Purpose: The quality of fish produced in ponds needs to be ensured. Indeed, pond is often strongly connected to an agricultural watershed, and pesticides are a main health and environmental issue of concern. In this context, the purpose of this study is to highlight the management practices which could impact the pesticide contamination profiles in edible fish and to give recommendations for better practices., Methods: A principal component analysis, coupled to a hierarchical cluster analysis, was performed to evaluate temporal evolution of contamination profiles and to assess variability among fish species and among sites according to watershed characteristics. The explicative variables correspond to muscular concentrations of pesticides (azoxystrobin, clomazone, diflufenican, carbendazim, isoproturon, metazachlor, napropamid) in three species of fish (Perca fluviatilis, Cyprinus carpio and Rutilus rutilus), caught in five ponds during two sampling campaigns. Management data are added variables in order to discuss about parameters suspected to be implicated in the contamination profiles recorded., Results: This work shows that high amounts of pesticides applied, short crop rotation durations and bare soil practices led to contamination of sediments and fish and were associated to a "bad" management of watershed. Breeding fish that had low masses and establishing the fishing period at the end of winter seemed to be "bad" management of pond. Aggravating topological parameters were big watershed coupled to small pond and high proportions of sand soils in the watershed., Conclusions: Reducing amounts of pesticide used (e.g. policy agency plans, farmer acceptance), favouring long-term rotations and inter-cultures, adapting pond creation and fish farming practices to watershed management and topography all could reduce pesticide levels in edible fish and contribute to a better sustainability of the extensive fish farming in pond.

Residues of pesticides in fish farming productions from barrage ponds are seldom studied in spite of increasing health questionings and environmental concerns. The purpose of this study is to establish the pesticide contamination profiles of sediments and edible fish from five ponds in Northeastern France. Multi-residues method and liquid chromatography-tandem mass spectrometry analysis were used to quantify 13 pesticides (azoxystrobin, carbendazim, clomazone, diflufenican, dimethachlor, fluroxypyr, iprodion, isoproturon, mesosulfuron-methyl, metazachlor, napropamid, quizalofop and thifensulfuron-methyl). Ten sediments and 143 muscles samples were analysed, corresponding to two successive fishing campaigns (first fishing date and second fishing date (P2), about 1 year later) on five sites (noted C-0, C-25, C-45, C-75 and C-85 to express the increasing gradient of crop area). Isoproturon was present in all sediments samples (1.8-56.4 μg/kg dry weight). During P2 period, carbendazim was quantified in the fish of site C-0 (0.09 ± 0.02, 0.2 ± 0.1 and 0.17 ± 0.06 μg/kg wet weight (ww) for roach, carp and perch, respectively). Metazachlor was only quantified in perch of the site C-25 (0.13 ± 0.02 μg/kg ww). Concentrations of isoproturon were similar for the sites C-45 and C-75 with 0.4 ± 0.1 and 0.75 ± 0.06 μg/kg ww for carp and perch, respectively. Contamination of fish reflected generally concentrations in surroundings. Isoproturon was the most concentrated and its main source was water for perch while carp was exposed through both water and sediments, highlighting their life strategies in pond.

Organochlorine pesticides (HCB, HCH with α-, β-, and γ isomers, heptachlor, cis-heptachlor epoxyde, trans-heptachlor epoxyde, endosulfan with α- and β isomers, sulfate endosulfan, o,p'-DDT, p,p'-DDT, o,p'-DDE, p,p'-DDE, o,p'-DDD, p,p'-DDD, chlorothalonil, alachlor, aldrin, dieldrin, methoxychlor, oxychlordane, chlordane with α- and γ isomers, p,p'-dicofol and o,p'-dicofol) and indicators PCBs (IUPAC nos. 28, 52, 101, 118, 138, 153, and 180) were studied both in sediments and muscles of farmed fish species (Cyprinus carpio and Perca fluviatilis). Samples were collected from fish ponds located in the hydrographic basin of the Moselle River (Lorraine Region, France). OCPs and PCBs were present at low concentrations both in sediments and fish muscles. Concerning sediments, ∑DDTs revealed concentrations ranging from 0.2 to 2.30 ng g(-1) dw and ∑PCBs ranged from 0.3 to 3.5 ng g(-1) dw. Concerning fish muscles, the highest concentrations in OCPs were those of p,p'-DDE, with average concentrations of 0.57±0.44 ng g(-1) ww for carp and 0.58±0.29 ng g(-1) ww for perch. The contamination profiles proved to be different depending on the fish species. Indeed, HCH-isomers, HCB, and dieldrin were detected only for the carp and always at low concentrations. For example, the highest concentration of HCHs was observed for β-HCH with a mean value of 0.64±0.15 ng g(-1) ww for carp. As for PCBs, the levels of ∑PCBs ranged from 0.3 to 6.4 ng g(-1) ww in carp muscles and from 0.90 to 5.60 ng g(-1) ww in perch muscles., (Copyright © 2011 Elsevier Inc. All rights reserved.)

Eurasian perch (Perca fluviatilis) was exposed trophically to phenanthrene, pyrene and benzo[a]pyrene. Accumulation kinetics in the muscle tissue of parent PAHs and hydroxylated metabolites were established for 56 days at 3 levels of exposure (0, 100 and 500 μg/kg BW). Benzo[a]pyrene and 3-hydroxy-benzo[a]pyrene were not detected in the muscles. During exposure, there was an increase in phenanthrene, pyrene and their hydroxylated metabolites in the muscle tissue. Low transfer to muscle tissue was observed at equilibrium for phenanthrene (4.4±0.6% and 2.7±0.8%) and pyrene (1.0±0.2% and 0.33±0.09%), depending on the concentrations in the spiked feed., (Copyright © 2011 Elsevier Ltd. All rights reserved.)

Purpose: Fish farming in barrage pond is a rearing system commonly used worldwide. Obtaining good water quality is essential to improve sustainability of these ecosystems, both for health of fish consumers and environmental considerations. However, ponds are often located in agricultural landscape, but few study reports impact of pesticide pressure on these ecosystems. This study characterizes five sites in Northeastern France. This work establishes an initial framework for pesticide monitoring with the aim to improve understanding of the fate of pesticides in ponds., Methods: This framework is based on surveys indicating managements and Geographical Information System (GIS) for five ponds and their watersheds (sites: C-0, C-25, C-45, C-75 and C-85) and completes with some analysis of a large spectrum of pesticide residues in surface waters., Results: Watersheds show a gradient of crop proportion ranging from 0% to 82% of the watershed area, mainly rapeseed, wheat, barley and maize. Ponds were representative of local Northeastern France management. Many pesticides, and also nutrients, were measured in water with concentrations varying between sites and seasons. The sum of quantified molecules ranged from 0.17 μg/l for site C-0 (March) to 8.81 μg/l for site C-25 (October). Concentrations of metaldehyde, quinmerac, isoproturon and bentazon were sometimes above 1 μg/l., Conclusions: There is a strong connection between pond and watershed, due to water supply throughout the fish production cycle. Sites with small pond/big watershed are the most exposed to acute contamination a few days after spraying because water discharges are not diluted.

The effects of season, geographic source (Lake Geneva, Rhine River), and rearing system (extensive, semiextensive, and intensive systems) on the lipid content and FA composition of fillets of Perca fluviatilis were studied. Significant differences in the total lipid content were found between fish coming from the Rhine River and Lake Geneva (1.21 and 1.48%, respectively). Seasonal effects were investigated quarterly for perch sampled in the Rhine River. Intensively reared perch displayed a higher lipid content (1.48%) than the other farmed perch, i.e., 1.26% for a semiextensive system and 1.16% for an extensive system. No significant difference in lipid content was found (i) between lacustrine fish and intensively reared fish or (ii) among fish from the Rhine River and the semiextensive or extensive rearing systems. The main FA were 22:6n-3 (DHA, 21.3-37.1% of total FA), 16:0 (17.7-20.2%), 20:5n-3 (EPA, 9.2-13.2%), 18:1 (8.0-11.5%), 20:4n-6 [arachidonic acid (ARA), 1.9-10.7%], 16:1 (4.3-6.0%), and 18:2n-6 (2.1-6.0%). In comparison with perch coming from the Rhine River, the lacustrine fish were characterized by higher total n-6 PUFA and a lower proportion of both total monounsaturated FA (MUFA) and total n-3 PUFA. Among rearing systems, extensively farmed fish had higher n-6 PUFA and lower n-3 PUFA contents. Wild fish showed higher ARA and 18:2n-6 than farmed fish. They also had significantly more EPA (12.5-13.2%) than farmed perch (9.2-10.9%). For DHA, no difference existed between (i) the lacustrine fish (31.9% of total FA) and the intensively reared fish (33.0%) and (ii) the Rhine (37.1%) and semiextensively reared fish (36%). Effects of size, diet composition, and environmental conditions on the total lipid contents and FA composition are discussed.