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<lom:catalog>phaidra.vetmeduni.ac.at</lom:catalog>

  
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<lom:langstring xml:lang="x-none">o:5410</lom:langstring>

  
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<lom:identifier>
  
<lom:catalog>DOI</lom:catalog>

  
<lom:entry>
  
<lom:langstring xml:lang="x-none">10.1186/s42523-025-00499-5</lom:langstring>

  
</lom:entry>

  
</lom:identifier>

  
<lom:title>
  
<lom:langstring xml:lang="en">Dynamics of the milk microbial community during subacute ruminal acidosis with or without intramammary lipopolysaccharide challenge in dairy cows</lom:langstring>

  
</lom:title>

  
<lom:description>
  
<lom:langstring xml:lang="en">Background

Lipopolysaccharides (LPS) from pathogenic Gram-negative bacteria play a key role in the pathophysiology of mastitis. Subacute ruminal acidosis (SARA) induces rumen dysbiosis, leading to LPS translocation and systemic immune activation. This study investigated the effects of a high-grain diet and intramammary LPS challenge on the milk microbiome of dairy cows. Cows were first fed a baseline control diet (day-7 to d-1; CON; 40% grain; n = 18). On d1, 12 cows were switched to a SARA diet (60% grain). On d30, six SARA (SARA_LPS) and the six CON cows (CON_LPS) were challenged intramammarily with LPS, while the other six SARA cows received a placebo (SARA_PLA). No CON_PLA group was enrolled. Milk samples were collected on d-2 (before feeding challenge), d30 (after feeding challenge; before LPS), and d32 (after LPS), and analysed using 16S rRNA gene amplicon sequencing and qPCR.

Results

During the feeding phases, more genera (70.1%) increased in CON than SARA cows, whereas more (65.3%) genera decreased their relative abundance in SARA compared to CON (p &lt; 0.001). This decline persisted in SARA_PLA cows, with more genera (62.4%) decreasing their abundance (p &lt; 0.001). However, LPS injection reversed the trend of the feeding effect, with more genera (79.3%) increasing in SARA_LPS cows in comparison to the other two groups, while more genera (85.5%) decreased in CON_LPS (p &lt; 0.001) in comparison to the other two groups. Alpha diversity correlated positively with bacterial cell equivalents. Of all genera, 22.1% correlated negatively with milk amyloid A (MAA), which increased post-LPS injection, 21.7% positively with lactose, and 13.4% positively with milk urea. SCC showed significant differences in beta-diversity, but no distinct visual clustering nor many correlations.

Conclusion

The microbial dynamics suggest that high-grain diet and the LPS injection influence the milk bacterial community. More taxa correlated with MAA than with SCC, suggesting that MAA may better reflect immune-microbial interactions in milk. A roughage-rich diet promoted higher microbial abundance, whereas high-grain feeding reduced abundance over the timespan of 30 days. Intramammary LPS challenge decreased absolute abundance in CON but increased it in SARA cows, suggesting a diet-dependent immune modulation of the mammary environment. These findings indicate that mammary gland epithelial integrity and immune mediators jointly shape the milk microbiome under metabolic and inflammatory stress.</lom:langstring>

  
</lom:description>

  
<lom:language>eng</lom:language>

  
<lom:keyword>
  
<lom:langstring xml:lang="en">Udder Health</lom:langstring>

  
</lom:keyword>

  
<lom:keyword>
  
<lom:langstring xml:lang="en">High-grain Feeding</lom:langstring>

  
</lom:keyword>

  
<lom:keyword>
  
<lom:langstring xml:lang="en">Mastitis</lom:langstring>

  
</lom:keyword>

  
<lom:keyword>
  
<lom:langstring xml:lang="en">Somatic Cell Count</lom:langstring>

  
</lom:keyword>

  
<lom:keyword>
  
<lom:langstring xml:lang="en">Milk Amyloid A</lom:langstring>

  
</lom:keyword>

  
<lom:keyword>
  
<lom:langstring xml:lang="en">Gut-mammary Gland Axis</lom:langstring>

  
</lom:keyword>

  
</lom:general>

  
<lom:lifecycle>
  
<lom:datetime>2026-08-12T08:48:12.361Z</lom:datetime>

  
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<lom:source>
  
<lom:langstring xml:lang="x-none">LOMv1.0</lom:langstring>

  
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<lom:value>
  
<lom:langstring xml:lang="x-none">Author</lom:langstring>

  
</lom:value>

  
</lom:role>

  
<lom:centity>
  
<lom:vcard>BEGIN:VCARD
VERSION:3.0
N:Neubauer;Viktoria;
FN:Viktoria Neubauer
X-ORCID:https://orcid.org/0000-0002-4312-5781
END:VCARD</lom:vcard>

  
</lom:centity>

  
<lom:centity>
  
<lom:vcard>BEGIN:VCARD
VERSION:3.0
N:Aditya;Siska;
FN:Siska Aditya
END:VCARD</lom:vcard>

  
</lom:centity>

  
<lom:centity>
  
<lom:vcard>BEGIN:VCARD
VERSION:3.0
N:Quijada;Narciso M.;
FN:Narciso M. Quijada
END:VCARD</lom:vcard>

  
</lom:centity>

  
<lom:centity>
  
<lom:vcard>BEGIN:VCARD
VERSION:3.0
N:Wetzels;Stefanie Urimare;
FN:Stefanie Urimare Wetzels
END:VCARD</lom:vcard>

  
</lom:centity>

  
<lom:centity>
  
<lom:vcard>BEGIN:VCARD
VERSION:3.0
N:Dzieciol;Monika;
FN:Monika Dzieciol
X-ORCID:https://orcid.org/0000-0002-0972-6241
END:VCARD</lom:vcard>

  
</lom:centity>

  
<lom:centity>
  
<lom:vcard>BEGIN:VCARD
VERSION:3.0
N:Pourazad;Poulad;
FN:Poulad Pourazad
END:VCARD</lom:vcard>

  
</lom:centity>

  
<lom:centity>
  
<lom:vcard>BEGIN:VCARD
VERSION:3.0
N:Zebeli;Qendrim;
FN:Qendrim Zebeli
X-ORCID:https://orcid.org/0000-0001-5188-9004
END:VCARD</lom:vcard>

  
</lom:centity>

  
<lom:centity>
  
<lom:vcard>BEGIN:VCARD
VERSION:3.0
N:Selberherr;Evelyne;
FN:Evelyne Selberherr
X-ORCID:https://orcid.org/0000-0002-2253-5247
END:VCARD</lom:vcard>

  
</lom:centity>

  
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