Yangchun Cao’s research while affiliated with Northwest A&F University and other places

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Publications (80)


Pterostilbene attenuates intestinal barrier damage and secondary liver oxidative stress in a murine model of Clostridium difficile infection by regulating gut microbiota
  • Article

April 2025

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19 Reads

Food & Function

Hao Yang

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Yanling Kuang

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Lamei Wang

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[...]

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Yangchun Cao

Clostridium difficile infection (CDI) is a significant infectious disease with limited treatment options. Pterostilbene, an active compound found in blueberries, is known for its antioxidant and anti-inflammatory properties. This study...


Fig. 2 Comparison of microbiota in the rumens of dairy goats exhibiting SARA occurrence (susceptible) or healthy (SARA tolerance) status. A Comparison of ruminal microbial alpha diversity with the Shannon index among the CON, LRDSS, LRDST, HRDSS, and HRDST groups. B Comparison of ruminal microbial beta diversity among the CON, LRDSS, LRDST, HRDSS, and HRDST groups according to ANOSIM analysis based on the BrayCurtis distance matrix. PERMANOVA was applied to analyse the microbial differences between the 2 groups. C Differential ruminal genera identified when comparisons among the CON group and SARA (LRDSS and HRDSS) groups were performed. The genera that significantly increased in both the LRDSS and HRDSS groups compared to the CON group are highlighted in red; the genera that significantly decreased in both the LRDSS and HRDSS groups compared to the CON group are highlighted in green; the genera that gradually increased in the CON LRDSS and HRDSS groups are highlighted in brown; and the genera that gradually decreased in the CON, LRDSS and HRDSS groups are highlighted in purple. The Mann-Whitney U test was carried out for the two groups. The Kruskal-Wallis test with the Tukey-Kramer post hoc test was employed for more than three groups. * indicates that the difference is significant at FDR < 0.05. D Spearman correlation between the common genus-level differences in the bacteria in dairy goats from the CON group and SARA (LRDSS and HRDSS) groups and their rumen fermentation parameters. * indicates that the difference is significant with P < 0.05, ** indicates that the difference is significant with P < 0.01
Fig. 3 Comparison of oral (buccal and tooth) microbiota of dairy goats exhibiting SARA occurrence (SARA susceptible) or healthy (control and SARA tolerance) status. A and B Comparison of buccal and tooth microbial alpha diversity with the Chao1 index among the CON, LRDSS, LRDST, HRDSS, and HRDST groups. The Kruskal-Wallis test with the Tukey-Kramer post hoc test was employed to test microbial alpha diversity differences. * FDR < 0.05. C and D Comparison of buccal and tooth microbial beta diversity with ANOSIM analysis based on the Bray-Curtis distance matrix among the CON, LRDSS, LRDST, HRDSS, and HRDST groups. PERMANOVA was applied to analyse the microbial differences between the 2 groups. E Differential buccal genera identified when comparisons between the CON group and the SARA (LRDSS and HRDSS) groups were performed. The genera that gradually increased along the CON, LRDSS and HRDSS groups are highlighted in brown, and the genera that gradually decreased along the CON, LRDSS and HRDSS groups are highlighted in purple. The Mann-Whitney U test was carried out for the two groups. The Kruskal-Wallis test with Tukey-Kramer post hoc test was employed for more than three groups. * indicates that the difference is significant at FDR < 0.05. F Redundancy analysis (RDA) of differential buccal genera of the CON, LRDSS and HRDSS groups (red site names) and rumen fermentation parameters (pink arrows). The lengths of arrows indicate the magnitude of variance to which that variable could explain. Smaller angles between 2 variables indicate stronger correlations between these indices. G Variance partitioning analysis (VPA) revealed the effects of ruminal pH, butyrate and isovalerate on the buccal microbiota
Fig. 6 Communications between ruminal and oral (buccal mucosa and tooth) microbiota in dairy goats with or without SARA. A Heatmaps of Spearman's correlation coefficients between the relative abundances of ruminal and oral (buccal mucosa and tooth) microbiota that significantly changed in the LRDSS and HRDSS groups compared with the CON group. B Heatmaps of Spearman's correlation coefficients between SARA-related genera in the oral cavity. C SourceTracker analysis to estimate microbial communications from the oral cavity to the rumen and from the rumen to the oral cavity. D Microbial abundance cocorrelation networks within ruminal, buccal, or tooth microbiota at the genus level (Based on the genera whose relative abundance larger than 1%). Red and azury lines indicate negative and positive correlations between genera, respectively. Node size reflects relative abundance. * indicates that the difference is significant with P < 0.05, ** indicates that the difference is significant with P < 0.01, *** indicates that the difference is significant with P < 0.001
Ruminal-buccal microbiota transmission and their diagnostic roles in subacute rumen acidosis in dairy goats
  • Article
  • Full-text available

March 2025

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66 Reads

Journal of Animal Science and Biotechnology

Background Subacute rumen acidosis (SARA) is a common metabolic disorder in ruminants that disrupts the rumen microbiome and animal health, but diagnosis is challenging due to subtle symptoms and invasive testing requirements. This study explores the potential of the buccal (oral) microbiome as a diagnostic indicator for SARA, hypothesizing an interaction with the rumen microbiome. Results The study involved 47 dairy goats, including 11 on a control diet and 36 on high-concentrate diets with increasing rumen-degradable starch. Animals were grouped based on dietary exposure and ruminal pH: Control, Low-RDS Tolerance/SARA (LRDST/LRDSS), and High-RDS Tolerance/SARA (HRDST/HRDSS). Transcriptomics of rumen epithelium showed heightened inflammatory pathway gene expression in SARA-susceptible goats compared to controls and tolerant groups. Alpha diversity of ruminal bacteria showed lower Shannon diversity in HRDSS goats compared to HRDST whereas buccal bacteria displayed significantly lower Chao1 diversity in LRDSS goats compared to HRDST. Beta diversity analyses revealed distinct patterns between SARA-affected goats and healthy controls in both ruminal and buccal microbiomes. Prevotellaceae_UCG-003 emerged as a candidate biomarker, with reduced abundance in SARA-susceptible goats in both rumen and buccal samples. Machine learning classifiers achieved high accuracy in distinguishing SARA-susceptible goats using this genus (rumen AUC = 0.807; buccal AUC = 0.779). Source tracking analysis illustrated diminished cross-population of bacteria from the buccal to rumen (2.86% to 0.25%) and vice versa (8.59% to 1.17%), signifying compromised microbial interchange in SARA-affected goats. A microbiota transplant experiment verified SARA microbiota's ability to induce pH decline, escalate inflammation-related gene expression ( MAPK10 , IL17B , FOSB , SPP1 ), disrupt microbial transfer, and reduce Prevotellaceae_UCG-003 in recipients. Conclusion Our findings highlight SARA’s dual impact on ruminal and buccal microbiota, exacerbating epithelial inflammation gene expression. Shifts in the buccal microbiome, specifically reductions in Prevotellaceae_UCG-003 , mirror ruminal changes and can be influenced by inter-compartmental bacterial transmission, thereby offering a non-invasive diagnostic approach for SARA.

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An overview of the development of perinatal stress-induced fatty liver and therapeutic options in dairy cows

February 2025

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21 Reads

Stress Biology

This review summarizes the mechanisms of hepatic glycolipid metabolism disorders caused by the negative energy balance encountered in periparturient dairy cows and the relevant research on nutritional additives as a therapeutic option. Factors such as dietary management, hormonal regulation, and overall metabolic stress in the body of the transition cow all contribute greatly to fatty liver formation. Nutritional strategies, such as using gluconeogenic precursors, growth factor, natural plant extracts, and methyl donors can positively modulate the negative effects of fatty liver in periparturient dairy cows. Choline, a methyl donor as a feed additive in transition cows minimizes lipid accumulation in the liver by increasing the efficiency of lipoprotein transport. In conclusion, the disruption of hepatic gluconeogenesis, changes in hormone levels, oxidative stress, and endoplasmic reticulum stress during the transition period in dairy cows collectively disturb hepatic anabolic homeostasis. This disruption promotes the formation of fatty liver and reduces lactation performance in dairy cows. Understanding the specific physiological phenomena of hepatic lipid metabolism disorders in transition cows and intervening with nutritional additives will reduce the negative effects of transition stress and improve animal health.


Correction: An integrated microbiome- and metabolome-genome-wide association study reveals the role of heritable ruminal microbial carbohydrate metabolism in lactation performance in Holstein dairy cows

February 2025

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20 Reads






Clostridium difficile and gut health: Bacteria, the gut microbiome, and diet

December 2024

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35 Reads

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2 Citations

Clostridium difficile infection (CDI) is a growing global health threat, presenting significant challenges to public health. Advances in metabolomics and proteomics have enhanced our understanding of human physiology, particularly the influence of gut microbiota and dietary components on diseases like CDI. This review explores recent insights into CDI pathogenesis, including the infection cycle, toxin mechanisms, spore structure, germination, and therapeutic strategies targeting spore formation and germination. We also examine the role of gut microbiota and metabolites in CDI progression, along with the impact of diet on disease pathology through microbiota modulation and immune regulation. We aim to guide the development of precise, individualized dietary strategies to regulate gut microbiota and immune responses, offering innovative therapeutic options for CDI prevention.


An integrated microbiome- and metabolome-genome-wide association study reveals the role of heritable ruminal microbial carbohydrate metabolism in lactation performance in Holstein dairy cows

November 2024

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135 Reads

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3 Citations

Background Despite the growing number of studies investigating the connection between host genetics and the rumen microbiota, there remains a dearth of systematic research exploring the composition, function, and metabolic traits of highly heritable rumen microbiota influenced by host genetics. Furthermore, the impact of these highly heritable subsets on lactation performance in cows remains unknown. To address this gap, we collected and analyzed whole-genome resequencing data, rumen metagenomes, rumen metabolomes and short-chain fatty acids (SCFAs) content, and lactation performance phenotypes from a cohort of 304 dairy cows. Results The results indicated that the proportions of highly heritable subsets (h² ≥ 0.2) of the rumen microbial composition (55%), function (39% KEGG and 28% CAZy), and metabolites (18%) decreased sequentially. Moreover, the highly heritable microbes can increase energy-corrected milk (ECM) production by reducing the rumen acetate/propionate ratio, according to the structural equation model (SEM) analysis (CFI = 0.898). Furthermore, the highly heritable enzymes involved in the SCFA synthesis metabolic pathway can promote the synthesis of propionate and inhibit the acetate synthesis. Next, the same significant SNP variants were used to integrate information from genome-wide association studies (GWASs), microbiome-GWASs, metabolome-GWASs, and microbiome-wide association studies (mWASs). The identified single nucleotide polymorphisms (SNPs) of rs43470227 and rs43472732 on SLC30A9 (Zn²⁺ transport) (P < 0.05/nSNPs) can affect the abundance of rumen microbes such as Prevotella_sp., Prevotella_sp._E15-22, Prevotella_sp._E13-27, which have the oligosaccharide-degradation enzymes genes, including the GH10, GH13, GH43, GH95, and GH115 families. The identified SNPs of chr25:11,177 on 5s_rRNA (small ribosomal RNA) (P < 0.05/nSNPs) were linked to ECM, the abundance alteration of Pseudobutyrivibrio_sp. (a genus that was also showed to be linked to the ECM production via the mWASs analysis), GH24 (lysozyme), and 9,10,13-TriHOME (linoleic acid metabolism). Moreover, ECM, and the abundances of Pseudobutyrivibrio sp., GH24, and 9,10,13-TRIHOME were significantly greater in the GG genotype than in the AG genotype at chr25:11,177 (P < 0.05). By further the SEM analysis, GH24 was positively correlated with Pseudobutyrivibrio sp., which was positively correlated with 9,10,13-triHOME and subsequently positively correlated with ECM (CFI = 0.942). Conclusion Our comprehensive study revealed the distinct heritability patterns of rumen microbial composition, function, and metabolism. Additionally, we shed light on the influence of host SNP variants on the rumen microbes with carbohydrate metabolism and their subsequent effects on lactation performance. Collectively, these findings offer compelling evidence for the host-microbe interactions, wherein cows actively modulate their rumen microbiota through SNP variants to regulate their own lactation performance. C1VA69ck9huqCRa2wNrTKWVideo Abstract


Citations (57)


... Previous research showed that rumen Pr concentration was positively correlated with MY (Xue et al., 2018). Heritable rumen microbes can reduce the A/P ratio to increase ECM production (Zhang C. et al., 2024). Consistent with previous studies, rumen-enriched core bacteria associated with milk production phenotypes, such as Syntrophococcus, Lachnospira, Shuttleworthia, Erysipelotrichaceae_UCG-2, and Roseburia, demonstrated significant positive correlation in this study with rumen Pr concentrations ( Figure 1G). ...

Reference:

Associations of rumen and rectum bacteria with the sustained productive performance of dairy cows
An integrated microbiome- and metabolome-genome-wide association study reveals the role of heritable ruminal microbial carbohydrate metabolism in lactation performance in Holstein dairy cows

... Additionally, the inhibitory effect of GH on insulin signaling has also been proven in nonruminants [14,15]. In dairy cow, GH administration increases the level of blood FFA, which is an important substrate for milk fat synthesis and energy production, and increases hepatic gluconeogenesis to support energy supply [16]. Moreover, dairy cows injected with GH significantly improve feed efficiency and increase milk production. ...

Hepatic gluconeogenesis and regulatory mechanisms in lactating ruminants: A literature review

... Yeni doğanlarda ise bu oran %80'e kadar çıkabilmektedir ancak nadiren enfeksiyona neden olmaktadır (37) . Bu patojen mikrobiyotanın bozulmasından sonra insan bağırsağında gelişmekte ve gastrointestinal sorunlara yol açabilmektedir (38) . CDI'nın sağlık sistemleri için büyük bir yük oluşturduğu ve hastanelerde salgınlara neden olduğu ifade edilmiştir (39) . ...

Understanding host immune responses in Clostridioides difficile infection: Implications for pathogenesis and immunotherapy

... For elucidating the molecular mechanisms of fish growth, transcriptomics and metabolomics techniques have provided powerful tools [8][9][10][11]. Transcriptomics has been widely used to decipher differential expressed genes (DEGs) related to different biological functions, such as growth [12,13], development [14], and immunity [15,16]. Transcriptomics and metabolomics techniques provide valuable insights into the molecular metabolic mechanisms related to the fish growth rate. ...

Transcriptome in Liver of Periparturient Dairy Cows Differs between Supplementation of Rumen-Protected Niacin and Rumen-Protected Nicotinamide

... tropicalis) and bacterial (Serratia marcescens as well as Escherichia coli) species. Furthermore, C. albicans's morphogenesis programmes influence the balance between invasive infection and gut commensalism [179,180]. ...

The role of gut fungi in Clostridioides difficile infection

Biomedical Journal

... It was noteworthy that the family Prevotellaceae and its subordinates (i.e., Prevotella, Prevotellaceae_UCG-001, uncultured_ rumen_bacterium_g_Prevotella, and uncultured_rumen_ bacterium_g_Prevotellaceae_UCG-001) were reduced in MVWS, when compared with the CON. These Prevotellaceae members have been found to contribute to less weight gain of goat, mice, and human [29][30][31]. In fact, the bulls treated with cooling of this experiment tended Effects of cooling on the ruminal metabolomic pathways. ...

Rumen bacterial cluster identification and its influence on rumen metabolites and growth performance of young goats

... Based on previous studies (Wang et al., 2023a;Wang et al., 2023b), SCFAs were determined using gas chromatography (Agilent 7820A, Santa Clara, CA, United States) with a capillary column (AE-FFAP, 30 m × 0.25 mm × 0.33 μm; ATECH Technologies Co., Lanzhou, China). In brief, rumen fluid samples were centrifuged at 12,000 × g for 10 min at 4°C. ...

Multi-omics revealed the long-term effect of ruminal keystone bacteria and the microbial metabolome on lactation performance in adult dairy goats

... However, this hypothesis requires further experimental validation. Accumulating evidence has demonstrated that the rumen, the main digestive organ of ruminants, contains microorganisms that substantially affect the physiological and metabolic health of organ function, including the liver [44][45][46][47]. Previous studies have revealed that n-3 PUFA has a positive effect on the gut microbiota of mice [48], humans [49,50], pigeon squabs [51] pigs [52] and steers [53]. ...

The Effects of Rumen-Protected Choline and Rumen-Protected Nicotinamide on Liver Transcriptomics in Periparturient Dairy Cows

... Based on previous studies (Wang et al., 2023a;Wang et al., 2023b), SCFAs were determined using gas chromatography (Agilent 7820A, Santa Clara, CA, United States) with a capillary column (AE-FFAP, 30 m × 0.25 mm × 0.33 μm; ATECH Technologies Co., Lanzhou, China). In brief, rumen fluid samples were centrifuged at 12,000 × g for 10 min at 4°C. ...

Potential roles of the rectum keystone microbiota in modulating the microbial community and growth performance in goat model

Journal of Animal Science and Biotechnology

... The faster fermentation kinetics observed in these peabased diets may also indicate a more synchronized availability of nitrogen from protein and energy from NSCs, which is essential for maximizing microbial protein synthesis in the rumen [23]. Starch is classified into two main types: rumen-degradable starch (RDS) and rumen-escapable starch (RES) [24]. Pea grain is primarily composed of RDS [25], and an increase in RDS can influence both cellulolytic and amylolytic bacterial populations in the rumen, potentially elevating the risk of sub-acute ruminal acidosis [26]. ...

Effects of rumen degradable starch on growth performance, carcass, rumen fermentation, and ruminal VFA absorption in growing goats
  • Citing Article
  • February 2023

Animal Feed Science and Technology