Background: Tibetan sheep grazing on the Qinghai-Tibet Plateau require dietary protein supplementation; however, they face economic constraints due to the high cost of feed transportation in this region. Given that the leucine metabolite β-hydroxy-β-methyl butyrate (HMB) enhances both protein synthesis and intestinal nutrient absorption, this study employed metagenomics and untargeted metabolomics to systematically evaluate HMB's effects on antioxidant capacity, immune response, microbiota, metabolites, and the health of the small intestine in Tibetan sheep. A total of 120 healthy weaned 60-day-old male Tibetan lambs were assigned to diets containing 0 mg/kg (control group, CON), 430 mg/kg (low HMB, L-HMB), 715 mg/kg (medium HMB, M-HMB), or 1,000 mg/kg (high HMB, H-HMB) for 90 d. At the end of the experiment, 6 lambs from each group were slaughtered for intestinal tissue and content sampling.
Results: The M-HMB treatment significantly increased average daily gain of the lambs without affecting feed intake, thereby improving feed utilization efficiency. M-HMB promoted the development of small intestinal morphological and elevated villus height, while also enhancing the activities of digestive enzyme and disaccharidase activities. Furthermore, M-HMB enhanced the antioxidant capacity, immune response, and barrier function of the small intestine. Metagenomic analysis revealed that M-HMB supplementation improved the composition of the small intestinal microbiota in Tibetan sheep, specifically increasing the relative abundance of Ruminococcus bacterium P7 and R. bromii, and enhanced microbial carbohydrate degradation capacity. Metabolomic analysis demonstrated that M-HMB supplementation significantly altered the small intestinal metabolite profile, enhancing carbohydrate metabolic pathways and increased the production of short-chain fatty acids (SCFAs). M-HMB upregulated PLCβ1 and ERK1/2 protein expression levels in small intestinal tissue and elevated the proportion of Ki67-positive cells at the basal crypt region of small intestinal crypts, suggesting enhanced proliferative activity of intestinal epithelial cells.
Conclusions: In summary, dietary supplementation with M-HMB (715 mg/kg) promoted small intestinal growth and development, enhanced digestive and absorptive functions, optimized the microbial composition, improved carbohydrate degradation, and increased the production of SCFAs, ultimately improving the growth performance of Tibetan sheep lambs.
{"title":"Dietary β-hydroxy-β-methyl butyrate supplementation improves intestinal health and growth performance in Tibetan sheep lambs via modulating small intestinal microbiota.","authors":"Jieqiong Cai, Weibin Wu, Lamei Wang, Dandan Meng, Hao Yang, Shimin Liu, Shengzhen Hou, Yangchun Cao","doi":"10.1186/s40104-025-01345-z","DOIUrl":"https://doi.org/10.1186/s40104-025-01345-z","url":null,"abstract":"<p><strong>Background: </strong>Tibetan sheep grazing on the Qinghai-Tibet Plateau require dietary protein supplementation; however, they face economic constraints due to the high cost of feed transportation in this region. Given that the leucine metabolite β-hydroxy-β-methyl butyrate (HMB) enhances both protein synthesis and intestinal nutrient absorption, this study employed metagenomics and untargeted metabolomics to systematically evaluate HMB's effects on antioxidant capacity, immune response, microbiota, metabolites, and the health of the small intestine in Tibetan sheep. A total of 120 healthy weaned 60-day-old male Tibetan lambs were assigned to diets containing 0 mg/kg (control group, CON), 430 mg/kg (low HMB, L-HMB), 715 mg/kg (medium HMB, M-HMB), or 1,000 mg/kg (high HMB, H-HMB) for 90 d. At the end of the experiment, 6 lambs from each group were slaughtered for intestinal tissue and content sampling.</p><p><strong>Results: </strong>The M-HMB treatment significantly increased average daily gain of the lambs without affecting feed intake, thereby improving feed utilization efficiency. M-HMB promoted the development of small intestinal morphological and elevated villus height, while also enhancing the activities of digestive enzyme and disaccharidase activities. Furthermore, M-HMB enhanced the antioxidant capacity, immune response, and barrier function of the small intestine. Metagenomic analysis revealed that M-HMB supplementation improved the composition of the small intestinal microbiota in Tibetan sheep, specifically increasing the relative abundance of Ruminococcus bacterium P7 and R. bromii, and enhanced microbial carbohydrate degradation capacity. Metabolomic analysis demonstrated that M-HMB supplementation significantly altered the small intestinal metabolite profile, enhancing carbohydrate metabolic pathways and increased the production of short-chain fatty acids (SCFAs). M-HMB upregulated PLCβ1 and ERK1/2 protein expression levels in small intestinal tissue and elevated the proportion of Ki67-positive cells at the basal crypt region of small intestinal crypts, suggesting enhanced proliferative activity of intestinal epithelial cells.</p><p><strong>Conclusions: </strong>In summary, dietary supplementation with M-HMB (715 mg/kg) promoted small intestinal growth and development, enhanced digestive and absorptive functions, optimized the microbial composition, improved carbohydrate degradation, and increased the production of SCFAs, ultimately improving the growth performance of Tibetan sheep lambs.</p>","PeriodicalId":64067,"journal":{"name":"Journal of Animal Science and Biotechnology","volume":"17 1","pages":"25"},"PeriodicalIF":6.5,"publicationDate":"2026-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146144938","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Background: Nutritional strategies aimed at augmenting growth performance remain a central focus in poultry science. The liver, as a pivotal metabolic organ, exerts profound influence on skeletal muscle development. Nevertheless, the mechanistic interplay between hepatic metabolism and myogenesis has not been fully delineated. Here, by integrating multi-omics analyses with functional validation, we identified xanthosine, a metabolic derivative of hepatic caffeine catabolism, as a previously unrecognized regulator of broiler muscle growth. We further elucidated its mechanistic role in promoting myoblast proliferation.
Results: Comparative phenotypic assessment of high- and low-body-weight broilers revealed substantial differences in breast muscle mass. Metagenomic profiling of cecal microbiota demonstrated only a limited association between microbial composition and body weight. In contrast, untargeted plasma metabolomics uncovered a systemic upregulation of amino acid metabolism in high-body-weight broilers, concomitant with a pronounced activation of caffeine metabolism. Consistently, hepatic transcriptomic profiling revealed marked induction of cytochrome P450 family 1 subfamily A member 2 (CYP1A2), encoding a key enzyme catalyzing caffeine catabolism. Integrated KEGG pathway enrichment across metabolomic and transcriptomic datasets highlighted caffeine metabolism as a significantly perturbed pathway. Among its downstream metabolites, plasma xanthosine was robustly elevated in high-body-weight broilers. Functional validation via in ovo injection demonstrated that xanthosine administration significantly augmented post-hatch growth performance by increasing skeletal muscle mass. Mechanistic investigations further established that xanthosine drives myoblast proliferation through activation of the ERK/GSK3β/β-catenin signaling cascade.
Conclusions: Together, these findings delineate a liver-muscle metabolic axis in which hepatic CYP1A2-driven caffeine metabolism elevates circulating xanthosine, which in turn acts as a pivotal molecular effector of myogenic growth. This study uncovers a previously unappreciated metabolic mechanism by which hepatic activity orchestrates skeletal muscle development. It also highlights targeted modulation of xanthosine metabolism as a promising strategy to enhance broiler growth performance and production efficiency.
{"title":"Liver-muscle metabolic crosstalk: xanthosine as a key effector of broiler myogenesis.","authors":"Yiwei Chen, Cong Ding, Meijuan Ren, Zhixuan Li, Shiqi Liu, Haoming Sun, Sijia Yu, Qiang Niu, Xingyu Li, Bing Li, Li Li, Xiaojun Yang, Qingzhu Sun","doi":"10.1186/s40104-025-01346-y","DOIUrl":"https://doi.org/10.1186/s40104-025-01346-y","url":null,"abstract":"<p><strong>Background: </strong>Nutritional strategies aimed at augmenting growth performance remain a central focus in poultry science. The liver, as a pivotal metabolic organ, exerts profound influence on skeletal muscle development. Nevertheless, the mechanistic interplay between hepatic metabolism and myogenesis has not been fully delineated. Here, by integrating multi-omics analyses with functional validation, we identified xanthosine, a metabolic derivative of hepatic caffeine catabolism, as a previously unrecognized regulator of broiler muscle growth. We further elucidated its mechanistic role in promoting myoblast proliferation.</p><p><strong>Results: </strong>Comparative phenotypic assessment of high- and low-body-weight broilers revealed substantial differences in breast muscle mass. Metagenomic profiling of cecal microbiota demonstrated only a limited association between microbial composition and body weight. In contrast, untargeted plasma metabolomics uncovered a systemic upregulation of amino acid metabolism in high-body-weight broilers, concomitant with a pronounced activation of caffeine metabolism. Consistently, hepatic transcriptomic profiling revealed marked induction of cytochrome P450 family 1 subfamily A member 2 (CYP1A2), encoding a key enzyme catalyzing caffeine catabolism. Integrated KEGG pathway enrichment across metabolomic and transcriptomic datasets highlighted caffeine metabolism as a significantly perturbed pathway. Among its downstream metabolites, plasma xanthosine was robustly elevated in high-body-weight broilers. Functional validation via in ovo injection demonstrated that xanthosine administration significantly augmented post-hatch growth performance by increasing skeletal muscle mass. Mechanistic investigations further established that xanthosine drives myoblast proliferation through activation of the ERK/GSK3β/β-catenin signaling cascade.</p><p><strong>Conclusions: </strong>Together, these findings delineate a liver-muscle metabolic axis in which hepatic CYP1A2-driven caffeine metabolism elevates circulating xanthosine, which in turn acts as a pivotal molecular effector of myogenic growth. This study uncovers a previously unappreciated metabolic mechanism by which hepatic activity orchestrates skeletal muscle development. It also highlights targeted modulation of xanthosine metabolism as a promising strategy to enhance broiler growth performance and production efficiency.</p>","PeriodicalId":64067,"journal":{"name":"Journal of Animal Science and Biotechnology","volume":"17 1","pages":"24"},"PeriodicalIF":6.5,"publicationDate":"2026-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146137956","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Background: β-Carotene exhibits distinct biological effects that enhance reproductive performance in mammals; however, the mechanisms underlying these effects remain poorly understood. This study aimed to evaluate the effect of β-carotene on ovarian development in replacement gilts and to investigate its potential mechanisms.
Results: A total of 20 gilts, aged 130 d, were randomly assigned to control group or β-carotene group (β-C group, diet containing 10 mg/kg of β-carotene). Each group consisted of 10 replicates, with one gilt per replicate, over a 60-d trial. β-Carotene significantly increased the number of follicles measuring 2-5 mm in diameter, elevated estradiol concentrations in both blood and follicular fluid of replacement gilts (P < 0.05). Compared to the control group, the β-C group exhibited a significant increase in β-carotene concentration within ovarian follicular fluid (P < 0.05). Transcriptomic analysis of GCs revealed that β-carotene could significantly upregulated the expression of Forkhead Box L2 (FOXL2). When β-carotene and its metabolic product were administered to granulosa cells (GCs), validation of differentially expressed genes in the transcriptome suggests the possibility that β-carotene, rather than its metabolic product, is responsible for the upregulation of FOXL2 in ovarian GCs, which subsequently may regulate StAR and enhance estradiol synthesis. Furthermore, β-carotene is likely to promote lipolysis, providing essential substrates for estradiol and adenosine triphosphate (ATP) production. Concurrently, β-carotene appears to increase the activity of the antioxidant enzymes superoxide dismutase 1 (SOD1) and glutathione peroxidase 4 (GPX4) in gilts, thereby reducing reactive oxygen species (ROS) (P < 0.05) and maintaining redox balance.
Conclusions: Our findings suggest that β-carotene could promote lipolysis, activate the FOXL2-StAR pathway to increase estradiol synthesis in GCs, and alleviate oxidative stress, thereby contributing to follicle development.
{"title":"Dietary β-carotene improves the ovary development and antioxidant capacity of replacement gilts.","authors":"Jingya Jiang, Langduan Chen, Weiying Ma, Tingting Wen, Rui Liu, Guiyan Chu, Xiangfang Zeng, Shiyan Qiao, Chuanjiang Cai","doi":"10.1186/s40104-025-01342-2","DOIUrl":"10.1186/s40104-025-01342-2","url":null,"abstract":"<p><strong>Background: </strong>β-Carotene exhibits distinct biological effects that enhance reproductive performance in mammals; however, the mechanisms underlying these effects remain poorly understood. This study aimed to evaluate the effect of β-carotene on ovarian development in replacement gilts and to investigate its potential mechanisms.</p><p><strong>Results: </strong>A total of 20 gilts, aged 130 d, were randomly assigned to control group or β-carotene group (β-C group, diet containing 10 mg/kg of β-carotene). Each group consisted of 10 replicates, with one gilt per replicate, over a 60-d trial. β-Carotene significantly increased the number of follicles measuring 2-5 mm in diameter, elevated estradiol concentrations in both blood and follicular fluid of replacement gilts (P < 0.05). Compared to the control group, the β-C group exhibited a significant increase in β-carotene concentration within ovarian follicular fluid (P < 0.05). Transcriptomic analysis of GCs revealed that β-carotene could significantly upregulated the expression of Forkhead Box L2 (FOXL2). When β-carotene and its metabolic product were administered to granulosa cells (GCs), validation of differentially expressed genes in the transcriptome suggests the possibility that β-carotene, rather than its metabolic product, is responsible for the upregulation of FOXL2 in ovarian GCs, which subsequently may regulate StAR and enhance estradiol synthesis. Furthermore, β-carotene is likely to promote lipolysis, providing essential substrates for estradiol and adenosine triphosphate (ATP) production. Concurrently, β-carotene appears to increase the activity of the antioxidant enzymes superoxide dismutase 1 (SOD1) and glutathione peroxidase 4 (GPX4) in gilts, thereby reducing reactive oxygen species (ROS) (P < 0.05) and maintaining redox balance.</p><p><strong>Conclusions: </strong>Our findings suggest that β-carotene could promote lipolysis, activate the FOXL2-StAR pathway to increase estradiol synthesis in GCs, and alleviate oxidative stress, thereby contributing to follicle development.</p>","PeriodicalId":64067,"journal":{"name":"Journal of Animal Science and Biotechnology","volume":"17 1","pages":"23"},"PeriodicalIF":6.5,"publicationDate":"2026-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12882461/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146133650","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Background: Convergent evolution offers a unique lens through which to explore the molecular underpinnings of significant phenotypic transformations. Similar selective pressures likely drove the evolution of analogous milk traits in sheep and goats. Consequently, the current study aimed to identify common selection signals for milk traits across dairy and non-dairy breeds of sheep and goats worldwide.
Results: In this study, a total of 308 whole-genome sequences from diverse sheep (n = 108) and goat (n = 200) breeds, including both dairy and non-dairy types, across the world were utilized. The population structure and genetic diversity of dairy and non-dairy sheep and goat breeds were characterized. Species-specific genes associated with milk traits, such as POU2F1, ABCD2, TRNAC-GCA in sheep and PRPF6, VPS13C, TPD52L2, NFX1 and B4GALT1 in goats, were identified. Further gene annotation and bioinformatics analyses indicated that different biological pathways are important for milk traits in each species: fatty acid oxidation and AMP metabolic process in sheep, the U2-type spliceosomal complex and propanoate metabolism in goats. Additionally, common signatures of selection such as CLASP1, PDS5B, ZNF831, CCDC73 were found in sheep and goats. Haplotype and transcriptional analyses further confirmed the role of these genes in milk production and provided evidence for their analogous evolution in sheep and goats. The CLASP1 gene was identified as a target of convergent selection, representing a promising candidate for genetic improvement programs in dairy species.
Conclusions: These results provide insights into the genetic basis of convergent dairy traits, offering valuable targets for improving milk production and advancing dairy sheep and goat breeding programs.
{"title":"Genomic analysis reveals convergent signatures of selection for milk traits in sheep and goats.","authors":"Zhanerke Akhatayeva, Yilong Shi, Kairat Dossybayev, Nurlan Malmakov, Hairong Cheng, Narantuya Baatar, Ji Yang, Menghua Li, Kejian Lin, Songsong Xu","doi":"10.1186/s40104-025-01334-2","DOIUrl":"10.1186/s40104-025-01334-2","url":null,"abstract":"<p><strong>Background: </strong>Convergent evolution offers a unique lens through which to explore the molecular underpinnings of significant phenotypic transformations. Similar selective pressures likely drove the evolution of analogous milk traits in sheep and goats. Consequently, the current study aimed to identify common selection signals for milk traits across dairy and non-dairy breeds of sheep and goats worldwide.</p><p><strong>Results: </strong>In this study, a total of 308 whole-genome sequences from diverse sheep (n = 108) and goat (n = 200) breeds, including both dairy and non-dairy types, across the world were utilized. The population structure and genetic diversity of dairy and non-dairy sheep and goat breeds were characterized. Species-specific genes associated with milk traits, such as POU2F1, ABCD2, TRNAC-GCA in sheep and PRPF6, VPS13C, TPD52L2, NFX1 and B4GALT1 in goats, were identified. Further gene annotation and bioinformatics analyses indicated that different biological pathways are important for milk traits in each species: fatty acid oxidation and AMP metabolic process in sheep, the U2-type spliceosomal complex and propanoate metabolism in goats. Additionally, common signatures of selection such as CLASP1, PDS5B, ZNF831, CCDC73 were found in sheep and goats. Haplotype and transcriptional analyses further confirmed the role of these genes in milk production and provided evidence for their analogous evolution in sheep and goats. The CLASP1 gene was identified as a target of convergent selection, representing a promising candidate for genetic improvement programs in dairy species.</p><p><strong>Conclusions: </strong>These results provide insights into the genetic basis of convergent dairy traits, offering valuable targets for improving milk production and advancing dairy sheep and goat breeding programs.</p>","PeriodicalId":64067,"journal":{"name":"Journal of Animal Science and Biotechnology","volume":"17 1","pages":"22"},"PeriodicalIF":6.5,"publicationDate":"2026-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12879437/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146127758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Background: Mammalian spermatogenesis is critical for the transmission of male genetic information, and single-cell sequencing technology can reveal its complex process. However, at present, there is no research on the dynamic transcription of bovine germ cell population.
Results: In this study, we used Stereo-seq to construct a spatial transcription map of bovine testicular tissue at two ages. Four germ cell groups and five somatic cell groups were determined, and functional enrichment characterized their different biological functions and the differences between calves and adult bulls. At the same time, we also defined the subpopulations of cells and marker genes, then, clarified the communications between germ cells.
Conclusion: Our study constructed a spatial transcription map of bovine testicular tissue for the first time, and systematically described the dynamic transcription changes during spermatogenesis. These data laid the foundation for the study of spermatogenesis in large mammals and elucidated the transcriptional dynamics underlying male germ cell development.
{"title":"Dissecting the development of bovine testicular tissue using spatial transcriptomics.","authors":"Haoyan Jin, Yuan Ma, Yaru Xie, Shunkai Yang, Xiaoxu Chen, Nana Wang, Lingkai Zhang, Yun Ma","doi":"10.1186/s40104-025-01340-4","DOIUrl":"10.1186/s40104-025-01340-4","url":null,"abstract":"<p><strong>Background: </strong>Mammalian spermatogenesis is critical for the transmission of male genetic information, and single-cell sequencing technology can reveal its complex process. However, at present, there is no research on the dynamic transcription of bovine germ cell population.</p><p><strong>Results: </strong>In this study, we used Stereo-seq to construct a spatial transcription map of bovine testicular tissue at two ages. Four germ cell groups and five somatic cell groups were determined, and functional enrichment characterized their different biological functions and the differences between calves and adult bulls. At the same time, we also defined the subpopulations of cells and marker genes, then, clarified the communications between germ cells.</p><p><strong>Conclusion: </strong>Our study constructed a spatial transcription map of bovine testicular tissue for the first time, and systematically described the dynamic transcription changes during spermatogenesis. These data laid the foundation for the study of spermatogenesis in large mammals and elucidated the transcriptional dynamics underlying male germ cell development.</p>","PeriodicalId":64067,"journal":{"name":"Journal of Animal Science and Biotechnology","volume":"17 1","pages":"21"},"PeriodicalIF":6.5,"publicationDate":"2026-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12874701/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146121051","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Background: Exosomes are crucial mediators of intercellular communication. As a key component of milk, milk-derived exosomes are abundant in genetic cargo, particularly microRNAs (miRNAs), indicating their potential role in regulating mammary gland physiology. Therefore, this study aimed to investigate the specificity of miRNAs in milk-derived exosomes and their regulatory roles in lipid synthesis in bovine mammary epithelial cells (BMECs).
Results: Based on 17,838 DHI records showing a significantly higher milk fat percentage (MFP) in late lactation (4.24% ± 1.07%), 10 high- (5.96% ± 0.26%, HMF) and 10 low-MFP (1.68% ± 0.23%, LMF) cows were selected during this stage for milk-derived exosome isolation and miRNA profiling. Exosomes isolated via differential ultracentrifugation were verified as 50-150 nm vesicles expressing CD9, CD81, and TSG101. miRNA sequencing identified 1,320 differentially expressed miRNAs (496 upregulated and 824 downregulated) between the HMF_EXO and LMF_EXO groups. Uptake assays confirmed that BMECs internalized these exosomes, and qRT-PCR validation showed that miR-423-5p and miR-125b were significantly upregulated and downregulated in HMF_EXO- and LMF_EXO-treated BMECs, respectively. Functionally, exosomal miR-423-5p promoted intracellular lipid accumulation and TG synthesis in BMECs by targeting APOA5, whereas miR-125b inhibited lipolysis and fatty acid oxidation by repressing SLC27A1.
Conclusions: This study demonstrates that milk-derived exosomal miRNAs represent a novel mechanism for regulating milk fat synthesis. Specifically, miR-423-5p and miR-125b directly modulated lipid metabolism in BMECs via the miR-423-5p/APOA5 and miR-125b/SLC27A1 pathways. These findings provide new insights into the molecular regulation of milk fat synthesis and highlight the importance of exosome-mediated intercellular communication in the lactating mammary gland.
{"title":"Functional analysis and identification of miRNAs associated with lipid metabolism from milk-derived exosomes.","authors":"Xin Lu, Tianyu Deng, Yue Liu, Xiaohan Zhang, Xue Bai, Xibi Fang, Runjun Yang","doi":"10.1186/s40104-025-01331-5","DOIUrl":"10.1186/s40104-025-01331-5","url":null,"abstract":"<p><strong>Background: </strong>Exosomes are crucial mediators of intercellular communication. As a key component of milk, milk-derived exosomes are abundant in genetic cargo, particularly microRNAs (miRNAs), indicating their potential role in regulating mammary gland physiology. Therefore, this study aimed to investigate the specificity of miRNAs in milk-derived exosomes and their regulatory roles in lipid synthesis in bovine mammary epithelial cells (BMECs).</p><p><strong>Results: </strong>Based on 17,838 DHI records showing a significantly higher milk fat percentage (MFP) in late lactation (4.24% ± 1.07%), 10 high- (5.96% ± 0.26%, HMF) and 10 low-MFP (1.68% ± 0.23%, LMF) cows were selected during this stage for milk-derived exosome isolation and miRNA profiling. Exosomes isolated via differential ultracentrifugation were verified as 50-150 nm vesicles expressing CD9, CD81, and TSG101. miRNA sequencing identified 1,320 differentially expressed miRNAs (496 upregulated and 824 downregulated) between the HMF_EXO and LMF_EXO groups. Uptake assays confirmed that BMECs internalized these exosomes, and qRT-PCR validation showed that miR-423-5p and miR-125b were significantly upregulated and downregulated in HMF_EXO- and LMF_EXO-treated BMECs, respectively. Functionally, exosomal miR-423-5p promoted intracellular lipid accumulation and TG synthesis in BMECs by targeting APOA5, whereas miR-125b inhibited lipolysis and fatty acid oxidation by repressing SLC27A1.</p><p><strong>Conclusions: </strong>This study demonstrates that milk-derived exosomal miRNAs represent a novel mechanism for regulating milk fat synthesis. Specifically, miR-423-5p and miR-125b directly modulated lipid metabolism in BMECs via the miR-423-5p/APOA5 and miR-125b/SLC27A1 pathways. These findings provide new insights into the molecular regulation of milk fat synthesis and highlight the importance of exosome-mediated intercellular communication in the lactating mammary gland.</p>","PeriodicalId":64067,"journal":{"name":"Journal of Animal Science and Biotechnology","volume":"17 1","pages":"20"},"PeriodicalIF":6.5,"publicationDate":"2026-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12870503/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146114978","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
High-throughput trapping and precision manipulation of individual pathogenic bioparticles in complex microenvironments are of great importance for in-vitro diagnostics and drug screening. Although optical tweezers have been widely used for bioparticle trapping and manipulation, the throughput, functionality, and adaptability are still limited for on-chip integrated bioparticle manipulation in complex and dynamic bioenvironments. Here, we report flexible, stretchable, on-chip optical tweezers (FSOT) based on large-scale orderly assembled microlenses for high-throughput manipulation of bioparticles in complex bio-environments and on flexible substrates, including soft bio-substrates such as skin and intestines. Large-scale (up to 1000) photonic nanojet effect of the microlenses enables high-throughput trapping, sorting, and modulation of individual bioparticles with sizes ranging from sub-100 nm to tens of micrometers, such as exosomes, bacteria and mammalian cells. Our FSOT exhibits high flexibility, which enables bioparticle trapping and sorting in complex and curved biological microenvironments. Importantly, our FSOT also exhibits high deformability and stretchability, which facilitates the control of inter-cellular distance between trapped neighboring cells, enabling real-time modulating and monitoring the interaction between single pathogenic bacteria and macrophage. Our FSOT represents a new class of on-chip optical tweezers for high-throughput bioparticle trapping and manipulation with the features of high flexibility and stretchability, and holds great promises as an integrated on-chip platform for high-throughput dynamic analysis of bioparticles, for revealing inter-cellular interactions between pathogenic bioparticles and host cells, and for precise drug screening.
{"title":"Flexible, stretchable, on-chip optical tweezers for high-throughput bioparticle manipulation","authors":"Ziyi He, Jianyun Xiong, Yang Shi, Ting Pan, Shaobiao Chen, Xin Zhang, Yizhen Chen, Xiangxian Wang, Baojun Li, Hongbao Xin","doi":"10.1038/s41377-026-02199-4","DOIUrl":"https://doi.org/10.1038/s41377-026-02199-4","url":null,"abstract":"High-throughput trapping and precision manipulation of individual pathogenic bioparticles in complex microenvironments are of great importance for in-vitro diagnostics and drug screening. Although optical tweezers have been widely used for bioparticle trapping and manipulation, the throughput, functionality, and adaptability are still limited for on-chip integrated bioparticle manipulation in complex and dynamic bioenvironments. Here, we report flexible, stretchable, on-chip optical tweezers (FSOT) based on large-scale orderly assembled microlenses for high-throughput manipulation of bioparticles in complex bio-environments and on flexible substrates, including soft bio-substrates such as skin and intestines. Large-scale (up to 1000) photonic nanojet effect of the microlenses enables high-throughput trapping, sorting, and modulation of individual bioparticles with sizes ranging from sub-100 nm to tens of micrometers, such as exosomes, bacteria and mammalian cells. Our FSOT exhibits high flexibility, which enables bioparticle trapping and sorting in complex and curved biological microenvironments. Importantly, our FSOT also exhibits high deformability and stretchability, which facilitates the control of inter-cellular distance between trapped neighboring cells, enabling real-time modulating and monitoring the interaction between single pathogenic bacteria and macrophage. Our FSOT represents a new class of on-chip optical tweezers for high-throughput bioparticle trapping and manipulation with the features of high flexibility and stretchability, and holds great promises as an integrated on-chip platform for high-throughput dynamic analysis of bioparticles, for revealing inter-cellular interactions between pathogenic bioparticles and host cells, and for precise drug screening.","PeriodicalId":18069,"journal":{"name":"Light-Science & Applications","volume":"67 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146102184","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Background: Rumen microbiota drive fermentation and contribute to variation in feed efficiency among ruminants, yet the underlying host-microbe mechanisms remain poorly understood. This study explores how rumen microbes shape feed conversion efficiency (FCR) through integrated interactions with multiple host organs.
Results: We applied a multi-omics strategy-combining rumen metagenomics and host multi-organ transcriptomics-in Hu sheep with divergent FCR. From a uniform cohort of 150 weaned male Hu lambs, 13 low-FCR (LFCR) and 13 high-FCR (HFCR) individuals were selected for integrated analyses. LFCR sheep exhibited greater growth performance and higher ruminal propionate concentrations compared with HFCR animals. The ruminal microbiomes were enriched in Saccharofermentans and Succinivibrionaceae_UBA2804, and showed functional convergence on amino acid biosynthesis, central carbon metabolism, and propionate-oriented fermentation in LFCR sheep. Carbohydrate-active enzyme profiles indicated that LFCR animals favored fiber- and starch-associated modules (GH126, CBM27, EPS-GT), whereas HFCR animals were enriched in host-glycan and uronic acid-degrading families (CE14, GH89, PL15). Hydrogen metabolism highlighted a clear dichotomy: LFCR animals redirected H₂ toward propionate and sulfate reduction, while HFCR animals retained greater butyrate-producing and methanogenic capacity. Transcriptomic profiling across rumen epithelium, liver, and muscle identified tissue-specific regulatory modules. Only the liver showed strong enrichment of carbohydrate metabolism, with a complete glycogen turnover and glucose export system (GYS2, PYGL, PGM2, G6PC1) and pathways linking microbial short-chain fatty acids to gluconeogenesis. In contrast, muscle efficiency modules were dominated by contractile and cytoskeletal genes (e.g., MYL2, TNNC1, TPM3), reflecting optimized energy expenditure rather than substrate metabolism. No efficiency-associated modules were detected in the rumen epithelium, consistent with its role in propionate absorption rather than metabolism.
Conclusions: The rumen microbiota of LFCR sheep possess highly efficient capacities for volatile fatty acid and amino acid synthesis, thereby enhancing energy utilization at its source. The resulting propionate further promotes hepatic gluconeogenesis, directly supplying energy for muscle cell growth and ultimately improving FCR. Thus, co-metabolism between rumen microbiota and the liver provides energy for muscle cell growth and is a key determinant of improved feed efficiency.
{"title":"Integrative analysis of rumen microbiota and host multi-organ interactions underlying feed conversion efficiency in Hu sheep.","authors":"Xiaowei Jia, Yuanxin Zhang, Boya Tian, Guijie Zhang, Shengyong Mao, Wenxi Qian, Daming Sun, Junhua Liu","doi":"10.1186/s40104-025-01333-3","DOIUrl":"10.1186/s40104-025-01333-3","url":null,"abstract":"<p><strong>Background: </strong>Rumen microbiota drive fermentation and contribute to variation in feed efficiency among ruminants, yet the underlying host-microbe mechanisms remain poorly understood. This study explores how rumen microbes shape feed conversion efficiency (FCR) through integrated interactions with multiple host organs.</p><p><strong>Results: </strong>We applied a multi-omics strategy-combining rumen metagenomics and host multi-organ transcriptomics-in Hu sheep with divergent FCR. From a uniform cohort of 150 weaned male Hu lambs, 13 low-FCR (LFCR) and 13 high-FCR (HFCR) individuals were selected for integrated analyses. LFCR sheep exhibited greater growth performance and higher ruminal propionate concentrations compared with HFCR animals. The ruminal microbiomes were enriched in Saccharofermentans and Succinivibrionaceae_UBA2804, and showed functional convergence on amino acid biosynthesis, central carbon metabolism, and propionate-oriented fermentation in LFCR sheep. Carbohydrate-active enzyme profiles indicated that LFCR animals favored fiber- and starch-associated modules (GH126, CBM27, EPS-GT), whereas HFCR animals were enriched in host-glycan and uronic acid-degrading families (CE14, GH89, PL15). Hydrogen metabolism highlighted a clear dichotomy: LFCR animals redirected H₂ toward propionate and sulfate reduction, while HFCR animals retained greater butyrate-producing and methanogenic capacity. Transcriptomic profiling across rumen epithelium, liver, and muscle identified tissue-specific regulatory modules. Only the liver showed strong enrichment of carbohydrate metabolism, with a complete glycogen turnover and glucose export system (GYS2, PYGL, PGM2, G6PC1) and pathways linking microbial short-chain fatty acids to gluconeogenesis. In contrast, muscle efficiency modules were dominated by contractile and cytoskeletal genes (e.g., MYL2, TNNC1, TPM3), reflecting optimized energy expenditure rather than substrate metabolism. No efficiency-associated modules were detected in the rumen epithelium, consistent with its role in propionate absorption rather than metabolism.</p><p><strong>Conclusions: </strong>The rumen microbiota of LFCR sheep possess highly efficient capacities for volatile fatty acid and amino acid synthesis, thereby enhancing energy utilization at its source. The resulting propionate further promotes hepatic gluconeogenesis, directly supplying energy for muscle cell growth and ultimately improving FCR. Thus, co-metabolism between rumen microbiota and the liver provides energy for muscle cell growth and is a key determinant of improved feed efficiency.</p>","PeriodicalId":64067,"journal":{"name":"Journal of Animal Science and Biotechnology","volume":"17 1","pages":"19"},"PeriodicalIF":6.5,"publicationDate":"2026-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12865948/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146108388","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-03DOI: 10.1038/s41377-026-02188-7
Zhiqi Huang, Yufei Liu, Nan Zhang, Zian Zhang, Qiming Liao, Cong He, Shendong Liu, Youhai Liu, Hongtao Wang, Xingdu Qiao, Joel K. W. Yang, Yan Zhang, Lingling Huang, Yongtian Wang
Optical neural networks (ONNs) are emerging as a promising neuromorphic computing paradigm for object recognition, offering unprecedented advantages in light-speed computation, ultra-low power consumption, and inherent parallelism. However, most of ONNs are only capable of performing simple object classification tasks. These tasks are typically constrained to single-object scenarios, which limits their practical applications in multi-object recognition tasks. Here, we propose an anti-interference diffractive deep neural network (AI D2NN) that can accurately and robustly recognize targets in multi-object scenarios, including intra-class, inter-class, and dynamic interference. By employing different deep-learning-based training strategies for targets and interference, two transmissive diffractive layers form a physical network that maps the spatial information of targets all-optically into the power spectrum of the output light, while dispersing all interference as background noise. We demonstrate the effectiveness of this framework in classifying unknown handwritten digits under dynamic scenarios involving 40 categories of interference, achieving a simulated blind testing accuracy of 87.4% using terahertz waves. The presented framework can be physically scaled to operate at any electromagnetic wavelength by simply scaling the diffractive features in proportion to the wavelength range of interest. This work can greatly advance the practical application of ONNs in target recognition and pave the way for the development of real-time, high-throughput, low-power all-optical computing systems, which are expected to be applied to autonomous driving perception, precision medical diagnosis, and intelligent security monitoring.
{"title":"Anti-interference diffractive deep neural networks for multi-object recognition","authors":"Zhiqi Huang, Yufei Liu, Nan Zhang, Zian Zhang, Qiming Liao, Cong He, Shendong Liu, Youhai Liu, Hongtao Wang, Xingdu Qiao, Joel K. W. Yang, Yan Zhang, Lingling Huang, Yongtian Wang","doi":"10.1038/s41377-026-02188-7","DOIUrl":"https://doi.org/10.1038/s41377-026-02188-7","url":null,"abstract":"Optical neural networks (ONNs) are emerging as a promising neuromorphic computing paradigm for object recognition, offering unprecedented advantages in light-speed computation, ultra-low power consumption, and inherent parallelism. However, most of ONNs are only capable of performing simple object classification tasks. These tasks are typically constrained to single-object scenarios, which limits their practical applications in multi-object recognition tasks. Here, we propose an anti-interference diffractive deep neural network (AI D2NN) that can accurately and robustly recognize targets in multi-object scenarios, including intra-class, inter-class, and dynamic interference. By employing different deep-learning-based training strategies for targets and interference, two transmissive diffractive layers form a physical network that maps the spatial information of targets all-optically into the power spectrum of the output light, while dispersing all interference as background noise. We demonstrate the effectiveness of this framework in classifying unknown handwritten digits under dynamic scenarios involving 40 categories of interference, achieving a simulated blind testing accuracy of 87.4% using terahertz waves. The presented framework can be physically scaled to operate at any electromagnetic wavelength by simply scaling the diffractive features in proportion to the wavelength range of interest. This work can greatly advance the practical application of ONNs in target recognition and pave the way for the development of real-time, high-throughput, low-power all-optical computing systems, which are expected to be applied to autonomous driving perception, precision medical diagnosis, and intelligent security monitoring.","PeriodicalId":18069,"journal":{"name":"Light-Science & Applications","volume":"9 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146102182","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-02DOI: 10.1038/s41377-025-02125-0
Shi Zhang, Shuguang Zhu, Shijian Tian, Libo Zhang, Cheng Chen, Kening Xiao, Wenqi Mo, Shicong Hou, Yunduo Zhang, Yuanfeng Wen, Yiran Tan, Kaixuan Zhang, Jiayue Han, Changlong Liu, Jiale He, Weiwei Tang, Jun Wang, Guanhai Li, Kai Zhang, Lin Wang, Xiaoshuang Chen
Polarization-sensitive neuromorphic vision sensing excels in distinguishing light polarization states, offering intrinsic advantages in reducing glare and enhancing visual clarity in complex lighting environments, enabling advanced applications in autonomous driving, optical communication, and bioinspired imaging across the visible-to-infrared spectrum. Here, we present a polarization-sensitive neuromorphic phototransistor based on a high-quality, intrinsically anisotropic two-dimensional black arsenic-phosphorus nanosheet, which exhibits exceptional optoelectronic performance with a peak responsivity of 2.88 A W-1, a polarization ratio of 4.7 and a dynamic range of 40 dB within the near-infrared communication band. Through multidimensional input control, including polarization and gate voltage, the phototransistor successfully simulates synaptic behaviors analogous to human neural responses to visual stimuli, with paired-pulse facilitation values reaching 201%. Critically, the device demonstrates gate-tunable short-term plasticity, with optical persistence triggering stable long-term plasticity states that underpin memory consolidation. The neuromorphic properties enable the development of a hybrid optical-electronic neural network which achieves a classification accuracy of over 90% on the Fashion-MNIST dataset and a reconstruction accuracy of 71.38% using data from the Yale Face Database under 0º linear polarization. We demonstrate a polarization-resolved imaging approach utilizing the black arsenic-phosphorus phototransistor to reconstruct hidden targets with high fidelity through Stokes parameter extraction and degree of linear polarization mapping, revealing intricate polarization features invisible to conventional imaging systems. Our work establishes a foundational platform for high-performance neuromorphic vision systems with integrated polarization imaging, computation, and communication functionalities, addressing critical challenges in scalable brain-inspired optoelectronic technologies.
偏振敏感的神经形态视觉传感在区分光偏振状态方面表现出色,在复杂的照明环境中提供了减少眩光和提高视觉清晰度的内在优势,使自动驾驶,光通信和生物启发成像在可见到红外光谱中的先进应用成为可能。在这里,我们提出了一种极化敏感的神经形态光电晶体管,基于高质量的,本质各向异性的二维黑色砷磷纳米片,具有优异的光电性能,峰值响应率为2.88 a W-1,极化比为4.7,近红外通信波段动态范围为40 dB。通过多维输入控制,包括极化和栅极电压,光电晶体管成功地模拟了类似于人类神经对视觉刺激反应的突触行为,其对脉冲易化值达到201%。关键的是,该器件显示出门可调的短期可塑性,光持久性触发稳定的长期可塑性状态,巩固记忆。该神经形态特性使光电混合神经网络的发展成为可能,该网络在Fashion-MNIST数据集上实现了超过90%的分类精度,在0º线偏振下使用耶鲁人脸数据库的数据实现了71.38%的重建精度。我们展示了一种偏振分辨成像方法,利用黑色砷磷光电晶体管通过Stokes参数提取和线性偏振度映射来高保真地重建隐藏目标,揭示了传统成像系统不可见的复杂偏振特征。我们的工作建立了一个具有集成偏振成像、计算和通信功能的高性能神经形态视觉系统的基础平台,解决了可扩展的脑启发光电技术的关键挑战。
{"title":"Polarization-sensitive neuromorphic vision sensing enabled by pristine black arsenic-phosphorus","authors":"Shi Zhang, Shuguang Zhu, Shijian Tian, Libo Zhang, Cheng Chen, Kening Xiao, Wenqi Mo, Shicong Hou, Yunduo Zhang, Yuanfeng Wen, Yiran Tan, Kaixuan Zhang, Jiayue Han, Changlong Liu, Jiale He, Weiwei Tang, Jun Wang, Guanhai Li, Kai Zhang, Lin Wang, Xiaoshuang Chen","doi":"10.1038/s41377-025-02125-0","DOIUrl":"https://doi.org/10.1038/s41377-025-02125-0","url":null,"abstract":"Polarization-sensitive neuromorphic vision sensing excels in distinguishing light polarization states, offering intrinsic advantages in reducing glare and enhancing visual clarity in complex lighting environments, enabling advanced applications in autonomous driving, optical communication, and bioinspired imaging across the visible-to-infrared spectrum. Here, we present a polarization-sensitive neuromorphic phototransistor based on a high-quality, intrinsically anisotropic two-dimensional black arsenic-phosphorus nanosheet, which exhibits exceptional optoelectronic performance with a peak responsivity of 2.88 A W-1, a polarization ratio of 4.7 and a dynamic range of 40 dB within the near-infrared communication band. Through multidimensional input control, including polarization and gate voltage, the phototransistor successfully simulates synaptic behaviors analogous to human neural responses to visual stimuli, with paired-pulse facilitation values reaching 201%. Critically, the device demonstrates gate-tunable short-term plasticity, with optical persistence triggering stable long-term plasticity states that underpin memory consolidation. The neuromorphic properties enable the development of a hybrid optical-electronic neural network which achieves a classification accuracy of over 90% on the Fashion-MNIST dataset and a reconstruction accuracy of 71.38% using data from the Yale Face Database under 0º linear polarization. We demonstrate a polarization-resolved imaging approach utilizing the black arsenic-phosphorus phototransistor to reconstruct hidden targets with high fidelity through Stokes parameter extraction and degree of linear polarization mapping, revealing intricate polarization features invisible to conventional imaging systems. Our work establishes a foundational platform for high-performance neuromorphic vision systems with integrated polarization imaging, computation, and communication functionalities, addressing critical challenges in scalable brain-inspired optoelectronic technologies.","PeriodicalId":18069,"journal":{"name":"Light-Science & Applications","volume":"217 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146102183","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}