Pub Date : 2024-03-19DOI: 10.1186/s13765-024-00885-8
Won Min Jeong, Seung-Jin Kwag, Jun Young Ha, Seung-Jun Lee, Yeong-In Choe, Dong Yeol Lee, Dong Kyu Jeong, Hwan Hee Bae, Jin-Hee Seo, Young-Sool Hah, Sang Gon Kim
Muscle atrophy, a debilitating condition characterized by loss of muscle mass and strength, is a major concern in various clinical settings. Acetyl genistin (AG), a bioactive compound, was evaluated for its role in muscle cell differentiation and its potential protective effects against dexamethasone (dexa)-induced muscle atrophy. Our study demonstrated that AG significantly promoted C2C12 myotube differentiation, as evidenced by enhanced myotube width and increased fusion index. Notably, AG treatment upregulated the expression of myogenic markers, including MHC, MyoD, and MyoG. Moreover, AG displayed protective properties by attenuating dexa-induced muscle atrophy, mainly by suppressing the expression of the atrophy-related genes MAFbx and MuRF1. AG's protective effects are mechanistically attributed to its regulation of the AMPK/FoxO-dependent signaling pathway. Our results highlighted the dual benefits of AG in fostering muscle differentiation and safeguarding against muscle atrophy, positioning it as a promising agent for muscle health and therapeutic applications.
{"title":"Acetyl genistin modulates myotube differentiation and attenuates dexamethasone-induced muscle atrophy through the FoxO1/3 signaling pathway in C2C12 myotubes","authors":"Won Min Jeong, Seung-Jin Kwag, Jun Young Ha, Seung-Jun Lee, Yeong-In Choe, Dong Yeol Lee, Dong Kyu Jeong, Hwan Hee Bae, Jin-Hee Seo, Young-Sool Hah, Sang Gon Kim","doi":"10.1186/s13765-024-00885-8","DOIUrl":"10.1186/s13765-024-00885-8","url":null,"abstract":"<div><p>Muscle atrophy, a debilitating condition characterized by loss of muscle mass and strength, is a major concern in various clinical settings. Acetyl genistin (AG), a bioactive compound, was evaluated for its role in muscle cell differentiation and its potential protective effects against dexamethasone (dexa)-induced muscle atrophy. Our study demonstrated that AG significantly promoted C2C12 myotube differentiation, as evidenced by enhanced myotube width and increased fusion index. Notably, AG treatment upregulated the expression of myogenic markers, including MHC, MyoD, and MyoG. Moreover, AG displayed protective properties by attenuating dexa-induced muscle atrophy, mainly by suppressing the expression of the atrophy-related genes MAFbx and MuRF1. AG's protective effects are mechanistically attributed to its regulation of the AMPK/FoxO-dependent signaling pathway. Our results highlighted the dual benefits of AG in fostering muscle differentiation and safeguarding against muscle atrophy, positioning it as a promising agent for muscle health and therapeutic applications.</p></div>","PeriodicalId":467,"journal":{"name":"Applied Biological Chemistry","volume":null,"pages":null},"PeriodicalIF":3.2,"publicationDate":"2024-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://applbiolchem.springeropen.com/counter/pdf/10.1186/s13765-024-00885-8","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140161317","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-16DOI: 10.1186/s13765-024-00882-x
Jinghui Wang, Qiyou Zheng, Chenxu Wang, Ao Zhou
Soybeans are a significant agricultural product in China, with certain geographical locations often yielding higher quality, and thus more expensive, soybean crops. In this study, metabolomics and transcriptomics analyses were conducted on soybean samples from nine regions in Heilongjiang and Liaoning Provinces using untargeted liquid chromatography–mass spectrometry (LC–MS) and Illumina sequencing technologies. The primary objective was to devise an effective and unbiased method for determining the geographical origin of each soybean variety to mitigate potential fraudulent practices. Through multidimensional and unidimensional analyses, successful identification of differentially expressed metabolites (DEMs) and differentially expressed genes (DEGs) was achieved, yielding statistically significant outcomes. Integration of the metabolomics and transcriptomics datasets facilitated the construction of a correlation network model capable of distinguishing soybeans originating from different geographical locations, leading to the identification of significant biomarkers exemplifying noteworthy distinctions. To validate the feasibility of this method in practical applications, partial least squares discriminant analysis was employed to differentiate soybean samples from the nine regions. The results convincingly showcased the applicability and reliability of this approach in accurately pinpointing the geographical origin of soybeans. Distinguishing itself from prior research in soybean traceability, this study incorporates an integrated analysis of metabolomics and transcriptomics data, thereby unveiling biomarkers that offer a more precise differentiation of soybean traits across distinct regions, thereby bridging a critical research gap within the soybean traceability domain. This innovative dual-data integration analysis methodology is poised to enhance the accuracy of soybean traceability tools and lay a new foundation for future agricultural product identification research.
{"title":"Classification of soybeans from different habitats based on metabolomic–transcriptomic integration","authors":"Jinghui Wang, Qiyou Zheng, Chenxu Wang, Ao Zhou","doi":"10.1186/s13765-024-00882-x","DOIUrl":"10.1186/s13765-024-00882-x","url":null,"abstract":"<div><p>Soybeans are a significant agricultural product in China, with certain geographical locations often yielding higher quality, and thus more expensive, soybean crops. In this study, metabolomics and transcriptomics analyses were conducted on soybean samples from nine regions in Heilongjiang and Liaoning Provinces using untargeted liquid chromatography–mass spectrometry (LC–MS) and Illumina sequencing technologies. The primary objective was to devise an effective and unbiased method for determining the geographical origin of each soybean variety to mitigate potential fraudulent practices. Through multidimensional and unidimensional analyses, successful identification of differentially expressed metabolites (DEMs) and differentially expressed genes (DEGs) was achieved, yielding statistically significant outcomes. Integration of the metabolomics and transcriptomics datasets facilitated the construction of a correlation network model capable of distinguishing soybeans originating from different geographical locations, leading to the identification of significant biomarkers exemplifying noteworthy distinctions. To validate the feasibility of this method in practical applications, partial least squares discriminant analysis was employed to differentiate soybean samples from the nine regions. The results convincingly showcased the applicability and reliability of this approach in accurately pinpointing the geographical origin of soybeans. Distinguishing itself from prior research in soybean traceability, this study incorporates an integrated analysis of metabolomics and transcriptomics data, thereby unveiling biomarkers that offer a more precise differentiation of soybean traits across distinct regions, thereby bridging a critical research gap within the soybean traceability domain. This innovative dual-data integration analysis methodology is poised to enhance the accuracy of soybean traceability tools and lay a new foundation for future agricultural product identification research.</p></div>","PeriodicalId":467,"journal":{"name":"Applied Biological Chemistry","volume":null,"pages":null},"PeriodicalIF":3.2,"publicationDate":"2024-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://applbiolchem.springeropen.com/counter/pdf/10.1186/s13765-024-00882-x","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140141342","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-13DOI: 10.1186/s13765-024-00880-z
Amany Ragab, Mohamed A. Taher, Helmy H. El-Rafey, Ahmed Ramadan El-Rokh
Piercing sucking pests are destructive to many strategic crops all over the world. Botanical pesticides can be used to control these pests. A new withanolide derivative 3 named sominone A ((20R,22R)-1α,3β,20,27-tetrahydroxywitha-5,24-dienolide) was isolated from the alkaloid fraction of the whole plant of Withania somnifera. In addition, there are three known compounds named withasomine 1, methyl isoferulate 2, and coagulin Q 4 were also isolated. The structures of isolated compounds were identified using different spectroscopic methods such as 1D, 2D NMR, and HRESIMS spectroscopy. The alkaloid fraction and the four isolated compounds were tested for their pesticidal activity against four piercing sucking pests (Aphis craccivora Koch, Bemisia tabaci Gennadius, Nezara viridula Linnaeus, and Tetranychus urticae Koch) that attack many strategic crops under laboratory conditions, along with azadirachtin (Okios 3.2% EC) as a positive control. The results showed that the alkaloid compound (withasomine 1) was the most toxic to A. craccivora, B. tabaci, N. viridula, and T. urticae, with LC50 values of 15.44, 36.61, 85.11, and 128.28 ppm, respectively, compared with the control. Withanolide compounds had moderate effects on all tested pests. Biochemical parameters of six enzymes; α-esterase, β-esterase, chitinase, acetylcholinesterase, glutathione-S-transferase, and peroxidase of A. craccivora were estimated at the LC50 value of the most potent compound, withasomine 1 and the values were 38.83, 72.86, 31.45, 506.4, 2.62, and 251.0, respectively. The results demonstrated that all enzymes activity levels were increased compared with the control except a remarkable inhibition in AChE enzyme level was observed compared with control. Therefore, the alkaloid fraction of W. somnifera is a promising extract that contains many active compounds that can be used as a natural pesticide against many harmful pests in agriculture crops.