Cornelian cherry (Cornus officinalis) fruits have long been used as a high-value food source with various biological effects. However, their biological potential to mitigate cholestatic liver injury, as well as their underlying molecular mechanisms, remains poorly understood. This work aimed to evaluate their biological effect against DDC-induced cholestatic liver injury in mice. Results showed that the main phytochemicals in C. officinalis fruit (ECOF) were iridoid glycosides, with morroniside (about 19.85 μg/g) and loganin (about 16.17 μg/g) as the predominant components. Treatment with ECOF, especially at high doses (600 mg/kg body weight), significantly reduced plasma levels of AST, ALT, and ALP, as well as liver MDA, hydroxyproline, and inflammatory cytokine levels (p < 0.05), whereas SOD, CAT, and GSH notably increased (p < 0.05). Further analysis revealed that ECOF upregulated Nrf2, NQO1, and HO-1 proteins to mitigate oxidative stress and suppressed the IκBα/NF-κB signaling cascade to reduce hepatic inflammation. ECOF treatment significantly increased hepatic BSEP and MRP2 protein levels, which may facilitate bile acid efflux and contribute to the attenuation of cholestasis. This study demonstrated that ECOF (600 mg/kg) effectively mitigated DDC-induced cholestatic liver injury in mice through the modulation of oxidative stress, inflammation, and bile acid transport, which may provide new insights and scientific evidence for using the fruits to produce functional foods to alleviate cholestatic liver injury.
{"title":"Alleviation of Cholestatic Liver Injury by Ethanolic Extract of Cornelian Cherry (Cornus officinalis) Fruits: Phytochemical Profiling and Mechanistic Insights","authors":"Lixia Guo, Kejun Hu, Lixin Ding, Samina Gul, Fubao Liu, Shengbao Cai","doi":"10.1155/jfbc/8516458","DOIUrl":"https://doi.org/10.1155/jfbc/8516458","url":null,"abstract":"<p>Cornelian cherry (<i>Cornus officinalis</i>) fruits have long been used as a high-value food source with various biological effects. However, their biological potential to mitigate cholestatic liver injury, as well as their underlying molecular mechanisms, remains poorly understood. This work aimed to evaluate their biological effect against DDC-induced cholestatic liver injury in mice. Results showed that the main phytochemicals in <i>C. officinalis</i> fruit (ECOF) were iridoid glycosides, with morroniside (about 19.85 μg/g) and loganin (about 16.17 μg/g) as the predominant components. Treatment with ECOF, especially at high doses (600 mg/kg body weight), significantly reduced plasma levels of AST, ALT, and ALP, as well as liver MDA, hydroxyproline, and inflammatory cytokine levels (<i>p</i> < 0.05), whereas SOD, CAT, and GSH notably increased (<i>p</i> < 0.05). Further analysis revealed that ECOF upregulated Nrf2, NQO1, and HO-1 proteins to mitigate oxidative stress and suppressed the IκBα/NF-κB signaling cascade to reduce hepatic inflammation. ECOF treatment significantly increased hepatic BSEP and MRP2 protein levels, which may facilitate bile acid efflux and contribute to the attenuation of cholestasis. This study demonstrated that ECOF (600 mg/kg) effectively mitigated DDC-induced cholestatic liver injury in mice through the modulation of oxidative stress, inflammation, and bile acid transport, which may provide new insights and scientific evidence for using the fruits to produce functional foods to alleviate cholestatic liver injury.</p>","PeriodicalId":15802,"journal":{"name":"Journal of Food Biochemistry","volume":"2025 1","pages":""},"PeriodicalIF":4.2,"publicationDate":"2025-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/jfbc/8516458","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145317142","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Diego Arturo Zavala Trejo, Blanca Rosa Aguilar Uscanga, Ariana Rodríguez Arreola, Esperanza González Quezada, Josué Raymundo Solís Pacheco
Human caseins (α-S1, β, and κ-casein) represent a potential source of bioactive peptides with possible therapeutic applications, particularly for neonates. Due to the relevance of obtaining bioactive peptides, an in silico simulation of enzymatic hydrolysis with pepsin (pH > 2) was performed on these proteins using the PeptideCutter tool from Expasy. The resulting fragments were evaluated in silico using various bioinformatics platforms to predict biological activities such as toxicity (ToxinPred 3.0), antimicrobial (CAMPR4), anticancer (AntiCP 2.0), anti-inflammatory (PreAIP), and antioxidant (AnOxPePred 1.0) properties, as well as their overall bioactivity probability (PeptideRanker) and comparison against the BIOPEP-UWM database. A total of 117 peptide fragments were generated: 40 from α-S1-casein, 48 from β-casein, and 29 from κ-casein. Of these, 26 peptides showed scores above 0.5 in PeptideRanker, suggesting potential bioactivity, and 17 were predicted to possess antimicrobial properties, primarily derived from α-S1-casein. Twelve peptides were identified as potentially toxic, with none originating from κ-casein. Additionally, 18 peptides (16 dipeptides and 2 tripeptides) exhibited exact sequence matches with experimentally reported peptides in the BIOPEP-UWM database. The results obtained in this study were compared with previous research, highlighting both similarities and differences in the generated sequences depending on the hydrolysis tool used. Although the results obtained through in silico analysis are encouraging, we emphasize the importance of experimentally confirming the bioactivity of these peptides. This study contributes to the understanding of the bioactive potential of peptides derived from human caseins and underscores their possible role in supporting neonatal health.
{"title":"In Silico Evaluation of Human α-S1-Casein, β-Casein, and κ-Casein as a Source of Bioactive Peptides","authors":"Diego Arturo Zavala Trejo, Blanca Rosa Aguilar Uscanga, Ariana Rodríguez Arreola, Esperanza González Quezada, Josué Raymundo Solís Pacheco","doi":"10.1155/jfbc/1831514","DOIUrl":"https://doi.org/10.1155/jfbc/1831514","url":null,"abstract":"<p>Human caseins (α-S1, β, and κ-casein) represent a potential source of bioactive peptides with possible therapeutic applications, particularly for neonates. Due to the relevance of obtaining bioactive peptides, an <i>in silico</i> simulation of enzymatic hydrolysis with pepsin (pH > 2) was performed on these proteins using the PeptideCutter tool from Expasy. The resulting fragments were evaluated <i>in silico</i> using various bioinformatics platforms to predict biological activities such as toxicity (ToxinPred 3.0), antimicrobial (CAMP<sub>R4</sub>), anticancer (AntiCP 2.0), anti-inflammatory (PreAIP), and antioxidant (AnOxPePred 1.0) properties, as well as their overall bioactivity probability (PeptideRanker) and comparison against the BIOPEP-UWM database. A total of 117 peptide fragments were generated: 40 from α-S1-casein, 48 from β-casein, and 29 from κ-casein. Of these, 26 peptides showed scores above 0.5 in PeptideRanker, suggesting potential bioactivity, and 17 were predicted to possess antimicrobial properties, primarily derived from α-S1-casein. Twelve peptides were identified as potentially toxic, with none originating from κ-casein. Additionally, 18 peptides (16 dipeptides and 2 tripeptides) exhibited exact sequence matches with experimentally reported peptides in the BIOPEP-UWM database. The results obtained in this study were compared with previous research, highlighting both similarities and differences in the generated sequences depending on the hydrolysis tool used. Although the results obtained through <i>in silico</i> analysis are encouraging, we emphasize the importance of experimentally confirming the bioactivity of these peptides. This study contributes to the understanding of the bioactive potential of peptides derived from human caseins and underscores their possible role in supporting neonatal health.</p>","PeriodicalId":15802,"journal":{"name":"Journal of Food Biochemistry","volume":"2025 1","pages":""},"PeriodicalIF":4.2,"publicationDate":"2025-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/jfbc/1831514","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145316915","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The adulteration of mutton is a food safety issue that has received widespread attention because it undermines consumers’ fundamental rights. To safeguard the consumers’ rights and interests, and preserve market integrity, it is important to develop a straightforward and rapid visualization method for the detection of adulterated components in mutton and its processed products. In this study, we employed a bioinformatics approach to identify the specific sequences of goat, pig, chicken, and duck and then designed primers and probes for the four species. Subsequently, we combined recombinase polymerase amplification (RPA) with lateral flow dipstick (LFD) to establish a rapid visual detection method for adulterants in mutton products. The established RPA–LFD method exhibited high specificity and high sensitivity, with a limit of detection (LOD) of each species as low as 20 copies. Application of this method to the detection of mutton products revealed the presence of porcine-derived ingredients in three mutton products. The RPA–LFD method allowed the visual detection of adulterants in mutton products without relying on expensive and sophisticated instruments, which meet the needs of the market for visualization. Therefore, it could provide powerful technical support for market supervision and has potential application prospect.
{"title":"Establishment and Application of a Rapid Detection Method for the Authenticity of Mutton Products","authors":"Guiqin Yang, Gongwen He, Lili Zhu, Ying He, Ziyan Chen, Zhiwen Pan, Dagang Jiang","doi":"10.1155/jfbc/1602970","DOIUrl":"https://doi.org/10.1155/jfbc/1602970","url":null,"abstract":"<p>The adulteration of mutton is a food safety issue that has received widespread attention because it undermines consumers’ fundamental rights. To safeguard the consumers’ rights and interests, and preserve market integrity, it is important to develop a straightforward and rapid visualization method for the detection of adulterated components in mutton and its processed products. In this study, we employed a bioinformatics approach to identify the specific sequences of goat, pig, chicken, and duck and then designed primers and probes for the four species. Subsequently, we combined recombinase polymerase amplification (RPA) with lateral flow dipstick (LFD) to establish a rapid visual detection method for adulterants in mutton products. The established RPA–LFD method exhibited high specificity and high sensitivity, with a limit of detection (LOD) of each species as low as 20 copies. Application of this method to the detection of mutton products revealed the presence of porcine-derived ingredients in three mutton products. The RPA–LFD method allowed the visual detection of adulterants in mutton products without relying on expensive and sophisticated instruments, which meet the needs of the market for visualization. Therefore, it could provide powerful technical support for market supervision and has potential application prospect.</p>","PeriodicalId":15802,"journal":{"name":"Journal of Food Biochemistry","volume":"2025 1","pages":""},"PeriodicalIF":4.2,"publicationDate":"2025-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/jfbc/1602970","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145316723","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}