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_posts/2025-10-22-9th-issue-newsletter.md

@@ -156,7 +156,7 @@ Alexander Diehl is an Associate Professor at the University at Buffalo. Followin
 
 In the past decade the ontology has added over 2,800 new terms including; 140 new terms for pediatric disease models, most notably in congenital heart disease; 124 terms for COVID-19, including diffuse alveolar damage and cytokine storm; and 32 Alzheimer’s-related terms such as amyloid isoform and brain lesion phenotypes. To improve cross-ontology integration, more than 1,500 MP-HPO mappings were created or refined using the SSSOM standard, resolving inconsistencies in labels, definitions, and logical axioms.
 
-Infrastructure and tooling updates further aligned MP with OBO Foundry standards. These included adoption of standardized metadata (ORCID identifiers, date formats), incorporation of [uPheno ](https://obofoundry.org/ontology/upheno.html)design patterns for logical definitions, and use of ROBOT and the Ontology Development Kit (ODK) for editing, quality control, and release management. Community-facing tools were also strengthened: a new MP-HPO match tool was added to the Human-Mouse Disease Connection (HMDC), and internationalization efforts introduced British spellings and Japanese translations (thanks to the efforts of the [MP Japanese Translation Project](https://github.com/dbcls/MP_Japanese) ).
+Infrastructure and tooling updates further aligned MP with OBO Foundry standards. These included adoption of standardized metadata (ORCID identifiers, date formats), incorporation of [uPheno](https://obofoundry.org/ontology/upheno.html) design patterns for logical definitions, and use of ROBOT and the Ontology Development Kit (ODK) for editing, quality control, and release management. Community-facing tools were also strengthened: a new MP-HPO match tool was added to the Human-Mouse Disease Connection (HMDC), and internationalization efforts introduced British spellings and Japanese translations (thanks to the efforts of the [MP Japanese Translation Project](https://github.com/dbcls/MP_Japanese) ).
 
 Together, these developments expand the scope of the MP Ontology and reinforce its alignment with the OBO ecosystem, supporting variant prioritization, disease model discovery, and translational research.