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Καλησπέρα, Καλημέρα ή Καλό βράδυ
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αναλόγως σε ποιο σημείο του πλανήτη βρίσκετε και
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καλωσήρθατε σε αυτό το σεμινάριο σχετικά με την εκπαίδευση
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orientation on validation of Methods του ΟΟΣΑ.
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Είμαστε εδώ στις 14 Νοεμβρίου 2023
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2023 and my name is Anon uh and uh I
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will give you um just uh one
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introductory
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slide uh about the objectives of the
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this
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webinar uh and uh then we will have our
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speaker for today miam uh
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Jacobs uh first the objectives of this
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webinar of first to uh clarify terms
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used in the context of validation for
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test guidelines development
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ATD uh then uh another objective is to
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explain
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why validation of methods is important
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in the context of test guidelines
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development uh also uh one objective is
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to guide laboratories embarking on
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methods
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validation uh on how to approach
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validation and evaluate uh method
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Readiness and how uh relevance and
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reproducibility of methods uh can be uh
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tested
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evaluated and then we will have uh a
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moment in this webinar for a Q&A
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session uh so you are most welcome to
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use the Q&A box uh we will be posting
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material resource in the chat uh but the
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chat is not accessible to participants
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only the the Q&A uh boxer so we will be
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selecting uh questions from the Q&A and
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raising them to uh uh our speaker and
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anyone who would like to uh to
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answer uh so also please note uh this
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webinar is recorded and it will be made
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publicly uh available as a replay on the
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o
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website so without further Ado I'm going
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to hand over um the presenter wres to
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our speaker for today uh Miriam Jacobs
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uh who is uh uh the national coordinator
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for the test guidelines program in the
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United Kingdom and Miriam can you hear
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us yes I can hear you can you hear me
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yes very well
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great okay I'll start sharing my screen
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now you can see your screen y
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okay okay welcome everybody um this is
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really a preamble for the workshop that
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we will be having on the 14th and 15th
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of December uh later this year um and
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this is just to get common understanding
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with respect to um validation
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terminology and um some PR principles
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and considerations that that uh are
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related to that
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so I'm going to go to the next slide
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now um so here's an overview of the talk
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can you see my slides
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okay yes very well yeah okay great um so
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there are five aspects to this talk the
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first part is to discuss why uh we want
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to have uh validation for regulatory
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purposes why it's important um so the
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per first part is uh looking at the
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crisis and reproducibility that we have
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and the relevance of to the oecd test
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guideline program of the mutual
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acceptance of data principle the second
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point we look at an overview of
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validation terminology focusing
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particularly on prospective validation
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and more really the early stages of
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validation the third aspect we'll look
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at examples of what can go wrong and why
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and how we can recover from that the
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fourth one we'll look at what you can do
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um very early on in the process and
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finally we'll have some questions and
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answers uh questions and discussion
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session so the first one crisis and
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reproducibility that there's a lack of
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reproducibility in research is really
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very well known um there was a survey
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conducted by nature and published in
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2016 where where they reported amongst
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their respondents um More than 70% of
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the researchers tried and failed to
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reproduce other scientists experiments
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and many couldn't reproduce their own
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experiments and if you have a look here
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um unfortunately for us as as working in
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toxicology and and biology and
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chemistry these were the worst um uh
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failures really in chemistry and biology
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so um in
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biology uh here you can see more than
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60% um failed to reproduce their own
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experiments and this was from a sample
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of over
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1,500 um researchers and it was just on
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the basis of a brief online
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questionnaire but it's really quite
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shocking and that really goes to show
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how um
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uh how one needs to be very careful with
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literature
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reports
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furthermore um in another report uh from
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Arrington atal in 2021 they looked at
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193 experiments just to look at where at
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the protocol status where they were
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fully described and what the barriers
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were to conducting
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replications in the experiments
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reported and in this
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um uh report you can see here that very
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often there was very little help from
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the authors when they tried to find out
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more about the protocols um in most
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cases clarifications were needed often
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reagents were offered up to 50% but
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often not um and then codes were
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sometimes shared but often no
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response um and data sharing as well was
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really
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Limited
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something that uh the jrc have reported
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on and and given presentations on
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recently um uh this promap promoting
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reusable open methods and protocols um
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so there's a nice pre-print from um
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safia Batista leet um online where they
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give recommendations on how to report
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protocols failure in protocols and
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reproducibility in protocols is the
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first step in the validation process
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that's necessary for improving
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reproducibility of
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results and being able to transfer the
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test method it Fosters confidence in
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results that you can obtain with a
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certain method and it really facilitates
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the use in the weight of evidence Hazard
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and risk
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assessment and this is also
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um supported by an oecd call for Urgent
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mobilization of national and Regional
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resources to support the valid
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validation of new methods for the safety
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assessment of of of
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chemicals with the need to be able to
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have good validation and good
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information around first first line um
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protocols the mutual acceptance of data
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and the practices regards uh the OCD
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test
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guidelines is the next key element um to
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begin
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with uh that we need to consider
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reproducible data is essential to
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support the international Mutual
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acceptance of data principle for all
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oecd member country chemical regulatory
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uh
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systems it's critical
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for um ensuring there are no trade
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barriers it's critical for ensuring
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reproducibility of data transfer of data
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and the next few slides will'll go
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through these in more
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detail the reason it was created um was
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really in response to fraudulent studies
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submitted to Regulators uh the Mad
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framework was constructed to ensure the
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generation of highquality and reliable
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non-clinical test data for regulatory
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purposes good lab practice provides the
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quality standards and the test
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guidelines provide the scientific
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standard regulatory author authorities
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receiving the data under the mutual
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acceptance of data agreement under the
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orices of the oecd know that particular
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quality and scientific standards have
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been followed and they know then that
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they don't have to re-evaluate the test
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protocol to determine its robustness as
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it has a consensus by countries by the
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Tes guard guideline program and part of
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that approach is really is truly by
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consensus every country every member
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country needs to agree so it's not by
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majority what documents are covered by
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the mutual acceptance of
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data the OCD test guidelines and the OCD
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principles for of good lab practice are
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covered by mad they those are the only
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documents that are covered by mad all
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the other oecd documents are not
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guidance documents describing certain
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test methods in the series and testing
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and assessment aren't covered um an
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additional uh in and additional
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documents such as detailed review papers
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validation reports peer reviews they're
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not covered by
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mad guidance documents can often be
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[Music]
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um uh validated test methods um but they
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are examples where the scientific
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standard wasn't agreed by consensus in
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the working group of national
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coordinators
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and it's considered that the scientific
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standard for Mutual acceptance of data
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hasn't been
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met at that time but that doesn't mean
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to say that the guidance documents for
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test methods um can't be adopted as test
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guidelines at a later date when more
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information and more uh relevant
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information is available to show
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reliability and
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reproducibility what does the oecd
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council act on the mutual acceptance of
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data say it says that the data generated
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in the testing of chemicals in an oecd
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member country in accordance with oecd
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test guidelines and oecd principles of
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good lab practice shall be accepted in
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other member countries for purposes of
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assessment and other uses relating to
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the protection of man and the
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environment however the data
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requirements are government
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prerogatives interpretation of test
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results is a government
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prerogative there can be there is no
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need for any repeat testing for the same
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data
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requirement however acceptance doesn't
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to automatically mean the use of the
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data by that
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country the regulatory use needs data
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requirements are country prerogatives
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the test guidelines are intended
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intended to address and respond to the
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existing or foreseeable regulatory needs
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in relation to hazard
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assessment and the kind of regulatory
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needs um that the test guidelines
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address um I'm sure you're all very
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familiar with these determination of
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physicochemical properties environmental
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fate and behavior properties chemical
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mechanisms of action and
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bioactivity um absorption distribution
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metabolism and excretion data for model
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building toxicity data for screening and
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priority setting toxicity data for
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identification of a Hazard and or Target
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organ and toxicity data for
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characterizing a hazard and residues
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chemistry
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data although data requirements are
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country prerogatives and mad is about
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avoiding repeat testing if data
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requirements diverge extensively between
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countries Mutual acceptance of data
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principle will erode as test guidelines
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data will not be accepted across
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countries having different
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requirements there therefore the more
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compatible and similar the data
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requirements are between countries the
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more beneficial mad will be
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globally and although the interpretation
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of test results is a government
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prerogative the test guidelines often
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integrate the transformation of the raw
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experimental data for example through
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prediction models data interpretation
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procedures to generate a retest result
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that addresses more directly a
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regulatory need
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for example the identification of a
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hazard the data transformation and
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interpretation procedures implemented in
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the test guideline are the outcome of
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country's agreement to do so in order to
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generate meaningful data and reduce the
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room for misinterpretation and maintain
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a common Level Playing
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Field but it Remains the member
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country's prerogative to use the
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Standalone test result to to satisfy a
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data requirement or to use the test
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result de with other sources of
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information in combination with other
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levels of interpretation or criteria
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that meet a country specific regulatory
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need and to not use that test result if
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their data requirement cannot be
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satisfied with that test result alone or
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in
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combination so that's uh part one um
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regarding the crisis in reproducibility
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and uh the Mad principle the mutual
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acceptance of of data principle um now I
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want to move to the section two giving a
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brief overview of validation
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terminology here I want to look at
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standard perspective validation um other
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aspects to consider Al also highly
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relevant but not not going into any
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great detail here our retrospective
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validation test guideline revision and
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test guideline
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augmentation so retrospective validation
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for example can happen where if you have
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uh a lot of relevant data and you want
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to go um uh and uh provide a data
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package to show that the test method or
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improvements in a test method um can be
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done on the basis of data collected
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historically and and this is happened
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several times for example for inv Vivo
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test guidelines um there are a couple of
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of examples recently where where we have
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done some retrospective
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validation test guideline revision also
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um Can Happen uh with respect to um more
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data being provided um being able to
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expand the chemical applicability domain
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for example or test guideline
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augmentation um when uh there might be a
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specific element of a test guideline
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that can be expanded further in a
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particular direction and the evidence
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has been collected to be able to show
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how it can be expanded or where a test
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guideline may have fail to become
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adopted and it because it needs a bit of
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further
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work um and I will give one example of
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of of of that
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later uh but mainly the next few slides
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really focus on standard perspective um
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prevalidation
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and these are the main resources that
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we're using so the OCD um guidance
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document 34 uh published in 2005 and
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whilst it is being
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revised uh at the moment and work is on
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foreseen really for the next year or so
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um
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it's the basic uh requirements of
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validation um I don't imagine will uh uh
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change that much not in relation to to
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um uh what we're considering here and
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then the other resource is um the paper
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from efam published in 2004 that was
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very much part of this guidance document
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205 at the time a modular approach to
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the Ean principles on test
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validity um these are the modules um so
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starting first of all with a test
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definition that is what are the
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biological process and endpoints that
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are modeled by the test system the
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second one is the Within lab variability
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or reproducibility can the results be
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reproduced or replicated in house by a
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different operator and over different
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part time periods transferability can
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others run the method successfully is
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the pro protocol sufficiently
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detailed number four is the between lab
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variability can the results be
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reproduced or replicated by others and
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um how accurate is it um what is the
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sensitivity and specificity of the test
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method
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um predictive capacity do the
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experimental results match with uh
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usually literature-based
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expectations sometimes in Vivo based
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expectations it varies and broader
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scientific
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consensus what is the chemical
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applicability domain what can or can't
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be tested um what are the performance
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standards what
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parameters can be developed that can be
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expected from this test method when it's
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working as expected based upon on the
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historical data and this includes
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reference chemicals to demonstrate
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demonstrate equivalence in performance
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for new me2 test systems compared to the
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those that have been previously
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validated so these are different modules
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and one can come in and out of the
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different modules it's not rigid um and
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this is the uh from the Harang AEL paper
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showing how they're constructed um and
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how the mod modes lead when they're
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successful they get um discussed by the
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validation Management Group lead for and
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then they can be taken forward for
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peerreview by ex various expert panels
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wherever they might be um whether that's
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uh esac the European um well efam
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scientific advisory committee or efam or
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jfam or
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oecd um at this
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level so really I'm just going to talk
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talk a little bit more about these four
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modules
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reproducibility uh a typical validation
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management structure um would be having
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a study management team here at the top
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independent chemical selection and
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expert review um to the side independent
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statistical analysis um and then a
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number of Labs at least two um sometimes
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three and often more it really
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depends
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for the test definition the objective is
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to define the scientific purpose
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describe the mechanistic basis
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characterize the cell line um there have
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been quite a few um uh issues arising
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out of cell line characterization or
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lack of characterization that I will
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mention later the limitations of the
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test method the experimental design and
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the optimized protocol which includes
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the necessary
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sop the specifications of endpoints and
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endpoint measurements and the derivation
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and expression of results and
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interpretation um of a preliminary
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prediction model uh the prediction Mo
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model often needs to be revised um uh on
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the subsequent steps that uh uh follow
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in the prevalidation aspect and then
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there need to be adequate controls
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vehicle controls positive controls
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negative controls
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to begin with also one has requirements
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for the initial training or proficiency
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set of chemicals and these need to be
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well-known chemicals to cover the
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relevant mechanism and mode of action of
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the test method and with
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negatives with the second module one
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starts to look at the variability over
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time and addressing variability for
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different operators but using the same
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lab laboratory
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setup um and the proficiency set of
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chemicals um generally expands uh these
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are the most obvious chemicals due to
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Quality and quantity of reference
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data um addressing the mode of action
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the relative potency if possible
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physicochemical properties and
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appropriate negative controls
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availability and representatives of
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relevant uh chemical classes for that
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particular test
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method the s um includes all of these
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aspects listed here um and it needs to
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be extremely well
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detailed
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um the first step uh with the protocol
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with the
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transfer um is often the step where
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hiccups are found um Everybody every
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Everybody tends to think that that
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everybody else does the same sort of pro
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process and sop and lab practice that
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they do but it really isn't the case so
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basic assumptions also need to be
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included and these are the sorts of
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things that we've really learned over
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the years it's much better to include a
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lot more detail than less to be able to
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ensure that the lab uh that the test
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method transfers to the lab
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successfully for the module three with
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transferability um the robustness of a
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test assessment of reproducibility of
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data in a second lab is assessed and the
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prail practicability the successful
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transfer and this is an iterative
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process um and with amendments on on the
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test definition and the protocol as
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needed as the data is generated problems
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arise and as they resolved um the
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clarifications need to be
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made and for the proficiency T of
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chemicals now as we move to this they
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need to be well understood to cover the
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relevant modes of
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action for the between lab variability
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the objectives are the assessment of
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reproducibility of the experimental data
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in two to four labs and sometimes more
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um the training and proficiency set of
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chemicals need to be the most obvious
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chemicals again um mode of action
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potency physicochemical properties
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negative chemicals and availability
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considerations there's a slide coming up
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that gives a a bit more of an overview
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um more detailed overview shortly here
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it
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is so the Essential Elements for
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chemical selection are to address the
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sector
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diversity um to have a structural
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diversity to have a good number of
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negatives at least 25% and ideally 50%
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and it's actually this data that's often
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the hardest to find the negative data
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because it's it's often not
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published um ideally as we try to use uh
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nams and vitro test methods um more in
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iarta and defined approaches uh the more
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we have information on the range of weak
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moderate and strong activity rather than
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uh yes no response um the more the
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greater applications that we we can use
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that test method for um but it's not
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always uh it really depends on the
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quality of the data that's generated in
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the in the study
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um sometimes it's just not possible to
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do that not at the early stages anyway
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ideally also you have uh human invivo
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data but um obviously for some classes
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of chemicals such as uh pesticides um
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it's generally quite unlikely to have
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this sort of uh um concentration dose
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response information um to a sufficient
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degree whereas one might have it for
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pharmaceuticals the Pharmaceuticals may
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not be um holy relevant to the wider um
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chemical um uh world that the test
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method is intended to to be looking
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at and then there are limitations and
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restrictions on International um
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transport and use that we need to
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consider um uh chemicals that are on the
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Stockholm pops convention that are
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banned that shouldn't be really used
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anymore um they ought to be considered
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chemicals with abuse potential it's very
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hard to import or export them in a
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validation study so for example um well
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drugs phob barbital cannabinoids
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anabolic steroids and so on and then the
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availability it can be very problematic
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to have a chemical that it's really rare
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and hard to find and there's no
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long-term manufacturer or if it's really
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expensive um it it becomes really
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impracticable impr practical so these
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considerations need to be uh included in
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the chemical
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selection
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there is no fixed number of chemicals it
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really needs to be on a Case specific
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basis depending on the um literature and
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data that you have on which you can base
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your uh proposals for the the chemical
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selection list and it's often a very
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good idea to um get that list that you
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derive get it peer-reviewed
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independently um to and get Buy in um um
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as you go forward and that's certainly
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something at the oecd level with the
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validation management groups and the
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expert groups it's really good to have a
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good discussion with them um if possible
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at the outset to resolve any issues that
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might come
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later
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whoops um designs of a validation study
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so um what is not a good idea is to have
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loads of Laboratories and just a handful
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of chemicals that are being tested um
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because then you're not really
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demonstrating the applicability the
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chemical applicability of the of the
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assay however um sometimes you don't
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really have a choice about uh the
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validation Lab Partners um if if it
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depends really on the funding stream but
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certainly uh for example if a cro is
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interested in participating in a test
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method because they want to demonstrate
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um well they want to grain gain skills
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in in running that assay and they will
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have a centel um that will want to use
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it um it's not really
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uh I mean if they want to participate
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it's uh really to be encouraged so
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sometimes one cannot Define the number
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of uh or or number of Laboratories uh
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fully upfront but as long as you have
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um a minimum of of three um it's it's uh
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encouraged in the expert
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groups um for past validation studies
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for example the situation on the left
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has often been the case where a number
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of different chemicals are run in all
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three Labs but it was Al it's also been
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commonly done to stagger um or have
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phases in the validation study so that
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the you have your first core uh uh test
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chemical or proficiency chemicals in the
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labs that are run by everybody and they
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all demonstrate that they can reproduce
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them well um and then you can expand
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your chemical chemical applicability
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doain by testing in a number of
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different Labs or very often the lead
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lab will often test a lot more of the
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chemicals um to be able to demonstrate
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the chemical applicability domain range
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independent statistical support is
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needed for within lab variability and
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between lab variability and predictive
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capacity
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um and the TR traditional
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process
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um uh can take uh well this slide has
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been used this interpretations of these
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slides have been used um a lot um to
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show the length of time that can it can
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take um but sometimes it's been used to
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show that it can take a very long time
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and that's really not necessarily the
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case um research and
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development can take a great many years
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um the prevalidation process um
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can include an awful lot of
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optimization of that research and
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development uh process and sometimes it
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sort of goes backwards and you're really
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doing
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R&D um but on average it can take two
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years perhaps sometimes it will take a
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bit more especially if there are
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problems
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arising the validation stage um the
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getting to full validation where you
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start to have uh blind chemicals um
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which I'm not discussing any detail in
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this one um that can take a year or it
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can take a lot more it really um it it
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will really depend on a case-by casee
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basis the peer review uh independent
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peer review can take a year and then the
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oecd regulatory acceptance usually takes
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around two years but it can take more
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for a number of different reasons which
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we will come to in the in the next
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section and then um uh acceptance and
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writing in to different regulatory
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jurisdictions um often happens following
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the oecd regulatory
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acceptance so so the first stages here
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um with the R&D um can happen at the
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academic uh uh industry um uh um side um
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or agency side as well um and then
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really ideally uh these validation steps
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um sometimes they are started
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independently or by industry groups or
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academ MC groups or so but they can
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start to enter the um OC OCD test
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guideline program at the pre valid valid
-
prevalidation stage and um it's really
-
good if if projects do enter um at that
-
stage to get support from the
-
international experts and nomin expert
-
nominations from the working group of
-
national coordinators that at that sort
-
of State
-
agage um because then you know you're
-
going to be resolving problems that
-
might come up later with respect to
-
regulatory acceptance you have a chance
-
to to be able to address those um and
-
get
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support intellectual property um has
-
become a bit of a uh an issue also um in
-
the oecd test guideline program as we
-
have moved more to inv vitro test
-
methods um there often are intellectual
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property um and patent issues around
-
some of the test methods it's not a
-
problem at all now um and uh specific
-
guidance has been developed regarding
-
these elements in oecd desk guidelines
-
it's important to declare whether the
-
test method contains predicted elements
-
right at the outset when the project is
-
submitted to the ACD test guideline
-
program it needs to be explicitly
-
indicated and the means foreseen to make
-
these protected elements available to
-
users if their method becomes a test
-
guideline so it's not a handicap it just
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needs to be
-
transparent
-
um the test method needs to ideally it
-
will address high priority needs for the
-
test guideline Pro program um and uh a
-
guidance document for the development of
-
oecd guidelines for the testing of
-
chemicals um uh from
-
2009 states that
-
um only that the development or update
-
of a test guideline is Possible only
-
when the proposed test method or
-
modifications to the existing test
-
guideline has undergone a critical
-
appraisal concerning its validation and
-
Regulatory
-
acceptance including where feasible and
-
relevant an interlaboratory comparative
-
study I a ring test or something like
-
that describing the performance of the
-
test method and then the current
-
guidance document um um on validation
-
from
-
2005 also states that test method
-
validation is a process based upon
-
scientifically sound principles by which
-
the reliab reliability and relevance of
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a particular test approach method or
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process
-
is established for a specific
-
purpose so now this is the one slide
-
coming up um giving examples of what can
-
grow go wrong and why um but this is
-
what I will spend most of the time
-
on so some common stumbling blocks or
-
hurdles in the oecd test guideline
-
process first of all they can arise with
-
reproducibility and transfer of the test
-
method um and experimental Corrections
-
need to be conducted and there there may
-
be missing characterization of the test
-
method and its cell line these have
-
happened in quite a few um examples of
-
adopted test guidelines as well as those
-
uh test methods that have failed uh to
-
become
-
adopted so for example one of one of the
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um endocrine active uh um test
-
guidelines early on um uh the test
-
method um failed to be reproducible in
-
another lab um even by the test method
-
developers and the cell line and the
-
constract had to be changed but then
-
ultimately it ended up being a
-
successful uh successfully adopted as a
-
test guideline it it worked it it was
-
fine um in another case we've had a um
-
cases a case of
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uh uh well to very early on we didn't do
-
suff efficient characterization of the
-
invitra test methods or the cell line
-
and we had an instance um where another
-
um test method um was found not to be
-
the cell line that it was stated to be
-
um during the validation and at the upon
-
adoption and it was later found out by
-
another group um that the
-
characterization was wrong and the cell
-
line had been
-
contaminated the validation had been
-
successful the cell the test method had
-
been adopted at a test guideline and um
-
a clarification sentence was uh provided
-
within that test
-
guideline sometimes the material
-
supporting the performance or validity
-
of the test method is not
-
adequate um and so the greater detail
-
given the better for all of the
-
evaluations the references the
-
validation reports and making sure that
-
they're all accessible some times there
-
is a lack of adherence to validation
-
criteria um sometimes there can be
-
issues regarding reference or
-
proficiency chemicals so here an example
-
is the draft sip induction test
-
guideline where um although successfully
-
validated uh by the uh the jrc the wnt
-
wanted to see an expansion of the um
-
reference uh chemicals um so work on
-
that is ongoing at the moment but um and
-
that's it's resolvable um and there were
-
there was a very strong justification
-
for the uh chemicals that were used in
-
the original validation because they
-
were the only chemicals that were human
-
data was
-
available
-
um so this has slowed down the adoption
-
unfortunately of this particular test
-
guideline but it's
-
resolvable other
-
um cons considerations might be a poorly
-
written draft test guideline or
-
sometimes to be perfectly honest the
-
adopted test
-
guideline we find out later it's not
-
sufficiently clear um for the end users
-
and we need to go back and revise the
-
data interpretation procedure we need to
-
clarify the language but it's really
-
only after trying it and having it out
-
there um that we are able to
-
do those Corrections and we've had to do
-
that a couple of times recently with the
-
TG uh 456 for
-
example sometimes the there's a changed
-
regulatory purpose of a test guideline
-
or it's not clearly defined and
-
increasingly the WT really does want to
-
see um a clear indication of the
-
regulatory purpose of the test guideline
-
and how it can be used how it can fit it
-
um particularly now for inv vitro test
-
methods for
-
nams sometimes there's a low level of
-
commitment by the lead country um there
-
can be a staff change or reduction in
-
res resources and the project needs to
-
be taken over uh by another country or
-
or it just gets put to one side for a
-
year or two until someone is willing or
-
able um to take the project over or it
-
will get ultimately dropped if no one is
-
willing to take it
-
over um and you know we all move jobs um
-
uh resources change
-
so it's it's uh it's it's a realistic um
-
uh problem that that
-
occurs sometimes a project proposal is
-
discussed at the uh working group of
-
national
-
coordinators and um further work is
-
really needed to explore issues within
-
that work that proposal there might be a
-
need for an expert consultation then
-
might be a need for a stronger evidence
-
base for the proposal and a detailed
-
review paper might be requested first
-
and that has happened several times as
-
well with the test uh test method
-
proposals going forward to the
-
w&t so we have that um at the moment for
-
um uh just thinking of some
-
um uh with a Maps test for example uh
-
we've been doing a more detailed report
-
and having an expert cons independent
-
expert uh consultation for a project on
-
the on the work
-
plan sometimes things go arai because um
-
of how the expert groups are working
-
there can be um insufficient briefing or
-
management of or listening
-
uh to new review experts or national
-
coordinators and the interactions there
-
or the recordkeeping not might not be
-
sufficiently detailed enough and so
-
keeping really good records of all of
-
the record of the discussions and
-
ensuring uh agreement on those records
-
as one progresses really makes a
-
difference uh in achieving
-
efficiencies and briefing uh new new
-
reviewers that may may join um because
-
often there can be circular discussions
-
that start to occur um as uh uh uh ideas
-
or concerns expressed earlier and dealt
-
with um get reiterated um by people who
-
were not in experts who were not
-
involved in the work
-
previously sometimes
-
um uh it's uh the National
-
coordinators
-
don't consider that the test method
-
addresses a key endpoint Gap or there
-
are a lack of lead countries coming
-
forward to address an oecd identified
-
cap
-
so for example with a thyroid um
-
validation effort at the moment on going
-
um um being led by the jrc but with
-
there the discussions at the oecd expert
-
group um countries do need to take a
-
lead and come forward uh to address to
-
to to address these assays and these are
-
assays that were first identified um
-
over 10 years ago in an oecd thyroid um
-
scoping document so the delay there has
-
really been a lack of countries coming
-
forward to do the work um the jrc came
-
forward and have done uh um the
-
preliminary or the prevalidation work
-
for
-
a large number of the assays I think 17
-
or 18 or more um but still uh more
-
commitment is needed from from lead
-
countries to take forward some of the
-
these work these these pieces of work um
-
and some of them are so for example
-
Peppa are taking forward at least two I
-
think of the thyroid assays now but more
-
countries are needed to take these
-
forward sometimes there are simp it's
-
simply conflict of regulatory needs
-
across R different
-
countries um and that means that the the
-
project won't be taken
-
up sometimes also there can be cultural
-
safety differences or there can be
-
issues um around things that you think
-
are easily available so for example
-
human serum use in invitro test
-
guidelines um a UK project proposal that
-
was made several years ago um uh a cro
-
came forward and um um uh was able to
-
adapt some of the skin sensitization
-
assays
-
442 um for human serum use and they had
-
obtained the serum from
-
Sigma it was openly available it
-
appeared to be uh
-
regulated um but actually it turned out
-
not to be um and the issues that arose
-
around the discussion at the w&t table
-
really start started to unpe unpeel or
-
expose a lot of different issues that we
-
needed to consider when using human
-
tissue including competition with
-
medical use um as well as exploitation
-
of of donors for example so that led to
-
a much deeper piece of work and in
-
including um um workshops to to address
-
those those problems so and these things
-
are not obvious when they they first
-
come so and they need to be resolved um
-
as we go through the process to be able
-
to achieve uh full adoption as a test
-
guideline under mad so there can be this
-
and here's just this is just a start of
-
a list really of really common um or
-
they not I wouldn't say they're really
-
common but they really concrete examples
-
of where there have been um
-
stumblings uh with respect to test
-
method adoption at the
-
oecd now let's look at practical
-
purposes what can be done right to begin
-
with
-
um
-
really it's it's really if validation
-
needs can be incorporated right at the
-
outset into research outputs the more we
-
do that as we develop our work in the
-
R&D side as it comes as the test methods
-
come through to um optimization the more
-
that we have a detailed description of
-
the
-
SOP the more we publish the data
-
associated with the result um the more
-
that the DAT data is findable accessible
-
interoperable reusable not as a PDF but
-
in a machine readable
-
format the more efficient the whole
-
process will become and the more
-
transparent it will become which will
-
increase Trust there is insufficient
-
space in scientific literature
-
manuscripts for all of this sort of
-
information but there are um websites
-
where one can um work on protocols
-
together um there is uh I mentioned
-
right at the outset this um prom map um
-
initiative and guidance um developed uh
-
by staff at the um
-
efam
-
um this is most critical step to really
-
uh
-
get on top of um right to begin with
-
with respect to the smooth operation of
-
of
-
validation um and the metha transfer is
-
often delayed at this
-
step and here are just a list of
-
resources that one can go to to um
-
improve the quality of this the SOP and
-
the data generated so I've just taken
-
I've taken mainly European examples
-
um um and oecd examples here and there
-
are there are a lot more internationally
-
but here here is just a
-
selection um the pepper platform has
-
particularly uh provided some very nice
-
uh guidance on how to um uh report test
-
method Readiness for example and there
-
are a number of different guidance
-
documents at the oecd the is
-
critical for test methods
-
developers um GD 211 for describing
-
non-guideline inv vitro tests and that's
-
the basis of uh of these uh test method
-
Readiness um
-
um uh
-
spreadsheets um reusable and open
-
protocols
-
um I'm so so on so there's a whole a
-
whole uh uh list of resources here to to
-
make use
-
of and with that thank you for your
-
attention and um we can have some
-
discussion and questions
-
now