Notice2026-09533

Biomarker Incubator: Urinary Kidney Safety Biomarkers; Request for Information

Primary source

Metadata and text below are from the Federal Register, a public-domain U.S. government work. Always verify the official published version before relying on it for any legal matter.

Published
May 13, 2026

Issuing agencies

Health and Human Services DepartmentFood and Drug Administration

Abstract

The Center for Drug Evaluation and Research (CDER) of the Food and Drug Administration (FDA or Agency) is announcing a request for information regarding a regulatory science initiative. The aims of the initiative are to advance biomarker validation through the compilation of data from multiple sources and through a specific pilot project focused on aggregating data for biomarkers of drug-induced kidney injury. The purpose of this notice is to inform the public of the aims of this initiative, to encourage human data submission and sharing, and to identify opportunities to enhance interactions between relevant stakeholders and FDA. The Agency intends to use the information submitted to inform future activities related to data sharing, biomarker development, and broader translation of biomarkers of drug-induced kidney injury.

Full Text

<html>
<head>
<title>Federal Register, Volume 91 Issue 92 (Wednesday, May 13, 2026)</title>
</head>
<body><pre>
[Federal Register Volume 91, Number 92 (Wednesday, May 13, 2026)]
[Notices]
[Pages 27056-27060]
From the Federal Register Online via the Government Publishing Office [<a href="http://www.gpo.gov">www.gpo.gov</a>]
[FR Doc No: 2026-09533]


-----------------------------------------------------------------------

DEPARTMENT OF HEALTH AND HUMAN SERVICES

Food and Drug Administration

[Docket No. FDA-2026-N-0005]


Biomarker Incubator: Urinary Kidney Safety Biomarkers; Request 
for Information

AGENCY: Food and Drug Administration, HHS.

ACTION: Notice; request for information.

-----------------------------------------------------------------------

SUMMARY: The Center for Drug Evaluation and Research (CDER) of the Food 
and Drug Administration (FDA or Agency) is announcing a request for 
information regarding a regulatory science initiative. The aims of the 
initiative are to advance biomarker validation through the compilation 
of data from multiple sources and through a specific pilot project 
focused on aggregating data for biomarkers of drug-induced kidney 
injury. The purpose of this notice is to inform the public of the aims 
of this initiative, to encourage human data submission and sharing, and 
to identify opportunities to enhance interactions between relevant 
stakeholders and FDA. The Agency

[[Page 27057]]

intends to use the information submitted to inform future activities 
related to data sharing, biomarker development, and broader translation 
of biomarkers of drug-induced kidney injury.

DATES: Either electronic or written comments on the notice must be 
submitted by July 13, 2026.

ADDRESSES: You may submit comments as follows. Please note that late, 
untimely filed comments will not be considered. The <a href="https://www.regulations.gov">https://www.regulations.gov</a> electronic filing system will accept comments until 
11:59 p.m. Eastern Time at the end of July 13, 2026. Comments received 
by mail/hand delivery/courier (for written/paper submissions) will be 
considered timely if they are received on or before that date.

Electronic Submissions

    Submit electronic comments in the following way:
    <bullet> Federal eRulemaking Portal: <a href="https://www.regulations.gov">https://www.regulations.gov</a>. 
Follow the instructions for submitting comments. Comments submitted 
electronically, including attachments, to <a href="https://www.regulations.gov">https://www.regulations.gov</a> 
will be posted to the docket unchanged. Because your comment will be 
made public, you are solely responsible for ensuring that your comment 
does not include any confidential information that you or a third party 
may not wish to be posted, such as medical information, your or anyone 
else's Social Security number, or confidential business information, 
such as a manufacturing process. Please note that if you include your 
name, contact information, or other information that identifies you in 
the body of your comments, that information will be posted on <a href="https://www.regulations.gov">https://www.regulations.gov</a>.
    <bullet> If you want to submit a comment with confidential 
information that you do not wish to be made available to the public, 
submit the comment as a written/paper submission and in the manner 
detailed (see ``Written/Paper Submissions'' and ``Instructions'').

Written/Paper Submissions

    Submit written/paper submissions as follows:
    <bullet> Mail/Hand Delivery/Courier (for written/paper 
submissions): Dockets Management Staff (HFA-305), Food and Drug 
Administration, 5630 Fishers Lane, Rm. 1061, Rockville, MD 20852.
    <bullet> For written/paper comments submitted to the Dockets 
Management Staff, FDA will post your comment, as well as any 
attachments, except for information submitted, marked and identified, 
as confidential, if submitted as detailed in ``Instructions.''
    Instructions: All submissions received must include the Docket No. 
FDA-2026-N-0005 for ``Biomarker Incubator: Urinary Kidney Safety 
Biomarkers; Request for Information.'' Received comments filed in a 
timely manner (see ADDRESSES) will be placed in the docket and, except 
for those submitted as ``Confidential Submissions,'' will be publicly 
viewable at <a href="https://www.regulations.gov">https://www.regulations.gov</a> or at the Dockets Management 
Staff between 9 a.m. and 4 p.m., Monday through Friday, 240-402-7500.
    <bullet> Confidential Submissions--To submit a comment with 
confidential information that you do not wish to be made publicly 
available, submit your comments only as a written/paper submission. You 
should submit two copies total. One copy will include the information 
you claim to be confidential with a heading or cover note that states 
``THIS DOCUMENT CONTAINS CONFIDENTIAL INFORMATION.'' The Agency will 
review this copy, including the claimed confidential information, in 
its consideration of comments. The second copy, which will have the 
claimed confidential information redacted/blacked out, will be 
available for public viewing and posted on <a href="https://www.regulations.gov">https://www.regulations.gov</a>. 
Submit both copies to the Dockets Management Staff. If you do not wish 
your name and contact information to be made publicly available, you 
can provide this information on the cover sheet and not in the body of 
your comments and you must identify this information as 
``confidential.'' Any information marked as ``confidential'' will not 
be disclosed except in accordance with 21 CFR 10.20 and other 
applicable disclosure law. For more information about FDA's posting of 
comments to public dockets, see 80 FR 56469, September 18, 2015, or 
access the information at: <a href="https://www.govinfo.gov/content/pkg/FR-2015-09-18/pdf/2015-23389.pdf">https://www.govinfo.gov/content/pkg/FR-2015-09-18/pdf/2015-23389.pdf</a>.
    Docket: For access to the docket to read background documents or 
the electronic and written/paper comments received, go to <a href="https://www.regulations.gov">https://www.regulations.gov</a> and insert the docket number, found in brackets in 
the heading of this document, into the ``Search'' box and follow the 
prompts and/or go to the Dockets Management Staff, 5630 Fishers Lane, 
Rm. 1061, Rockville, MD 20852, 240-402-7500.

FOR FURTHER INFORMATION CONTACT: Yvonne Knight, Center for Drug 
Evaluation and Research, Food and Drug Administration, 10903 New 
Hampshire Ave., Bldg. 51, Rm. 2142, Silver Spring, MD 20993, 301-796-
2133, <a href="/cdn-cgi/l/email-protection#025b746d6c6c672c496c6b656a76426466632c6a6a712c656d74"><span class="__cf_email__" data-cfemail="d58ca3babbbbb0fb9ebbbcb2bda195b3b1b4fbbdbda6fbb2baa3">[email&#160;protected]</span></a>, with the subject line ``Kidney 
Biomarker for CDER.''

SUPPLEMENTARY INFORMATION:

I. Background

    CDER in partnership with the Quantitative Medicine Center of 
Excellence is undertaking a regulatory science initiative to aggregate 
biomarker data from multiple sources (e.g., clinical trials from 
multiple drug development programs) for the purpose of validating 
biomarkers for use in drug development. This notice seeks to: (1) 
inform the public of this initiative, herein referred to as the 
``Biomarker Incubator''; (2) request voluntary submission of human data 
to support the goals of the pilot phase of the Biomarker Incubator 
initiative; and (3) obtain input on the scope and direction of the 
Biomarker Incubator initiative.
    The 21st Century Cures Act established a formal pathway for 
biomarker qualification, codified under section 507 of the Federal 
Food, Drug, and Cosmetic Act, through which FDA may qualify a biomarker 
for a specific context of use in drug development following a 
structured evidentiary review process. The qualification process often 
relies on assembly of data from academic or industry-sponsored studies, 
typically through consortia. Biomarker data are commonly generated 
within individual drug development programs for various purposes, such 
as to evaluate pharmacodynamic responses and safety in early phase 
trials or to complement assessments of efficacy in later phase trials. 
FDA may identify a need to characterize a biomarker to inform 
regulatory decision-making where qualification activities are not being 
considered. As such, FDA staff often undertake research efforts to 
assemble human data from different programs to better characterize 
biomarker relationships with outcomes and develop endpoints that may be 
used to expedite drug development. Examples of disease areas where 
these efforts have been undertaken by the Agency include pulmonary 
hypertension, schizophrenia, and hepatitis C (Chen et al. 2013; Kalaria 
et al. 2021; Kalaria et al. 2020). However, these biomarker 
characterization studies are complicated by heterogeneity in data 
collection protocols, the possibility that assays used to measure the 
biomarker or biomarkers may not be valid, the absence of standardized 
submission formats, and a limited volume of data (because such data are 
viewed as exploratory and not uniformly submitted to FDA). Therefore, 
CDER is seeking to develop infrastructure that

[[Page 27058]]

could help us understand best practices for biomarker data generation, 
streamline processes for requesting voluntary data submission, and 
create a platform to analyze data. Ultimately, improving CDER's ability 
to evaluate novel biomarkers could facilitate the generation of higher 
quality biomarker data, expanded use of novel biomarkers, more 
consistent interpretation of findings from biomarker studies, and 
development of novel endpoints that can support a range of regulatory 
and drug development decisions. The initiative outlined in this notice 
is intended to complement FDA's existing qualification framework by 
strengthening FDA's review of formal qualification submissions and 
advancing the use of biomarkers that may not be in the qualification 
pipeline.

II. Pilot Project

    FDA has focused on advancing the use of biomarkers of drug-induced 
kidney injury (DIKI) as a pilot project under this Biomarker Incubator 
initiative. In 2018, FDA qualified a panel of biomarkers (including the 
six biomarkers listed in this notice) for use in conjunction with 
traditional measures to aid in the detection of kidney tubular injury 
in phase 1 trials with healthy volunteers when there is an a priori 
concern that the drug may cause renal tubular injury in humans. The 
qualification submission was based on data submitted jointly by the 
Foundation for the National Institutes of Health Biomarkers Consortium 
and the Predictive Safety Testing Consortium of the Critical Path 
Institute (C-Path).
    Following the qualification of the panel of six biomarkers, other 
efforts were made to advance biomarker use in drug development. C-Path 
created the Biomarker Data Repository (BmDR) in 2019, starting with a 
focus on urinary kidney safety biomarkers with intent to expand to 
other organ safety biomarkers. The goal of the BmDR is to compile and 
provide stakeholders with large, reliable datasets containing masked, 
deidentified nonclinical and clinical study data on translational 
safety biomarkers. In May 2022, C-Path also convened the 
``International 2022 Drug-induced Kidney Injury Biomarker Workshop.'' 
Participants in this workshop highlighted an unmet need for better 
tools to detect DIKI at earlier and reversible stages, which would 
protect study participants by reducing clinically significant DIKI. 
Further, patient representatives attending the workshop expressed 
desire to share their data to support safety and drug development.
    As part of CDER's efforts to assess the performance and use of 
qualified and exploratory biomarkers of DIKI in drug development, and 
to complement the data accumulating through the BmDR, FDA began 
aggregating data on urinary kidney safety biomarkers that had 
previously been submitted to FDA. The Agency also requested voluntary 
submission of data from specific companies that had generated such data 
but had not yet submitted those data to FDA. These data were not 
expected to be in the BmDR already and were limited in size and scope. 
Specific urinary kidney safety biomarkers of interest for the 
previously mentioned efforts and the current request include cystatin C 
(CysC), osteopontin (OPN), kidney injury molecule-1 (KIM-1), N-acetyl-
[beta]-D-glucosaminidase (NAG), lipocalin-2 (LCN2)/neutrophil 
gelatinase-associated lipocalin (NGAL), and apolipoprotein J (APOJ)/
clusterin (CLU). The specific objectives of FDA's pilot project for 
urinary kidney safety biomarker data are to: (1) assess data 
availability and quality; (2) pool data from a range of clinical trial 
participants, drug programs, and phases of development; (3) perform 
analyses characterizing intersubject and intrasubject variability, 
expected ranges for subpopulations, time-course for changes, use and 
quality of different assay methodologies, and the predictive 
performance compared to conventional biomarkers; and (4) establish a 
process and platform for identifying, requesting, receiving, storing, 
and analyzing data to support biomarker use in drug development.

III. Request for Information

    This request for information aims to provide an opportunity for 
stakeholders--including both commercial drug developers and academic 
investigators--to share with FDA deidentified subject-level data on 
these biomarkers and experiences and challenges in applying these 
biomarkers in drug development.

A. Voluntary Data Submission

    If data use agreements allow and data owners are willing, FDA is 
requesting that data owners submit any shareable human data that have 
not already been or are not in the process of being submitted to FDA or 
C-Path's BmDR. This submission can be accomplished under an existing 
Investigational New Drug (IND) application, with a cover letter 
indicating any data use restrictions, or under a new pre-IND (for 
submissions that are not associated with an existing IND or need to be 
isolated and deidentified from an existing IND). Additionally, data 
owners may submit a response to this information request, including a 
desired approach to facilitate voluntary submission of exploratory 
data.
    FDA emphasizes the importance of storing and sharing data using the 
most updated terminology standards as outlined in the final guidance 
for industry Providing Regulatory Submissions in Electronic Format--
Standardized Study Data (June 2021). Adherence to data standards may 
improve data quality and reliability. The Agency requests that datasets 
be submitted in Clinical Data Interchange Standards Consortium (CDISC) 
format and contain deidentified subject-level data that includes 
clinical and demographic information, pharmacokinetic data, and urinary 
kidney safety biomarker data. Any dataset submitted should follow the 
format of one record per subject per parameter per treatment group per 
time point (if applicable). An example of a data structure that would 
be acceptable is provided in Table 1. The study protocol or a protocol 
synopsis, and NCT number, if available, should be included to aid in 
data interpretation. A description of the assay for each biomarker 
should also be submitted along with any available analytical validation 
reports that support the reliability, accuracy, and precision of assays 
used to measure the various urinary kidney safety biomarkers. The assay 
description should include the analytical method (e.g., ELISA), 
manufacturer, controls, lower limit of quantitation, within- and 
between-run precision, assay linearity, and percent recovery.

                     Table 1--Data Structure Example
        [Requested Data File Formats: .csv, .xlsx, .xpt, or .xml]
------------------------------------------------------------------------
   Variable name        Description       Format           Comment
------------------------------------------------------------------------
STUDYID............  Study ID........  Char.......
USUBJID............  Unique subject    Char.......
                      ID.

[[Page 27059]]

 
TRTP...............  Planned           Char.......
                      treatment.
TRTA...............  Actual treatment  Char.......
SEX................  Sex.............  Char.......  M or F.
AGE................  Age at baseline.  Num........  Years.
RACE...............  Race............  Char.......
ETHNIC.............  Ethnicity.......  Char.......  The ethnicity of the
                                                     subject. Submitters
                                                     should refer to the
                                                     guidance for
                                                     industry Collection
                                                     of Race and
                                                     Ethnicity Data in
                                                     Clinical Trials
                                                     (2016) regarding
                                                     the collection of
                                                     ethnicity.
COUNTRY............  Country.........  Char.......  Country of the
                                                     investigational
                                                     site in which the
                                                     subject
                                                     participated in the
                                                     trial.
ARM................  Description of    Char.......  Name of the arm to
                      planned arm.                   which the subject
                                                     was assigned. If
                                                     the subject was not
                                                     assigned to an arm,
                                                     ARM is null, and
                                                     ARMNRS is
                                                     populated. With the
                                                     exception of
                                                     studies that use
                                                     multistage arm
                                                     assignments, the
                                                     name provided must
                                                     be a value of ARM
                                                     in the Trial Arms
                                                     Dataset.
ARMNRS.............  Reason ARM is     Char.......  A coded reason that
                      Null.                          Arm variables and/
                                                     or actual Arm
                                                     variables are null.
                                                     Examples: ``SCREEN
                                                     FAILURE``, ``NOT
                                                     ASSIGNED``,
                                                     ``ASSIGNED, NOT
                                                     TREATED``,
                                                     ``UNPLANNED
                                                     TREATMENT``. It is
                                                     assumed that if the
                                                     Arm and actual Arm
                                                     variables are null,
                                                     the same reason
                                                     applies to both Arm
                                                     and actual Arm.
HGT................  Baseline height.  Num........  cm.
WGT................  Baseline weight.  Num........  kg.
BMI................  Body mass index.  Num........  kg/m2.
EGFR...............  Baseline eGFR...  Num........  ml/min per 1.73 m2.
CMAX...............  Cmax............  Num........  ng/ml, if collected
                                                     for a drug.
TMAX...............  Tmax............  Num........  H, if collected for
                                                     a drug.
AUCLAST............  AUC 0-last......  Num........  ng*h/ml, if
                                                     collected for a
                                                     drug.
AUCINF.............  AUC 0-INF.......  Num........  ng*h/ml, if
                                                     collected for a
                                                     drug.
ATP................  Analysis time     Char.......  e.g., Baseline, day
                      point.                         1, (add time points
                                                     per schedule of
                                                     assessments).
LBNAM..............  Vender name.....  Char.......  The name or
                                                     identifier of the
                                                     laboratory/machine
                                                     that performed the
                                                     test.
PARAMCD............  Parameter code..  Char.......  From CDISC SDTM
                                                     standards--2024:
                                                    KIM1: Kidney injury
                                                     molecule 1.
                                                    LCN2: Lipocalin-2,
                                                     also known as NGAL/
                                                     neutrophil
                                                     gelatinase-
                                                     associated
                                                     lipocalin.
                                                       NAGASE: N-acetyl-
                                                        beta-D-
                                                        glucosaminidase.
                                                       APOJ:
                                                        Apolipoprotein
                                                        J, also known as
                                                        CLU/clusterin.
                                                       CYSTATC: Cystatin
                                                        C.
                                                       OPN: Osteopontin.
                                                       CREAT:
                                                        Creatinine.
                                                       eGFR: Estimated
                                                        glomerular
                                                        filtration rate.
                                                       UACR: Urine
                                                        albumin-to-
                                                        creatinine
                                                        ratio.
                                                       UPCR: Urinary
                                                        protein-to-
                                                        creatinine
                                                        ratio.
UNITS..............  Parameter units.  Char.......  CDISC standards--
                                                     2024 (parameter--
                                                     urine creatinine
                                                     normalized
                                                     parameter):
                                                    KIM1: ng/mL--ng/mg.
                                                    LCN2: ng/mL--ng/mg.
                                                    NAGASE: U/mL--U/mg.
                                                       APOJ: ng/mL--ng/
                                                        mg.
                                                       CYSTATC: ng/mL--
                                                        ng/mg.
                                                       OPN: ng/mL--ng/
                                                        mg.
                                                       CREAT: mg/mL.
BASE...............  Baseline          Num........
                      parameter value.
AVAL...............  Parameter value.  Num........
AVALU..............  Parameter unit..  Char.......
CHG................  Change from       Num........
                      baseline.
MHSEQ..............  Sequence number.  Char.......  The medical history
                                                     dataset includes
                                                     the subject's prior
                                                     history at the
                                                     start of the trial.
                                                     Examples of subject
                                                     medical history
                                                     information could
                                                     include general
                                                     medical history,
                                                     gynecological
                                                     history, and
                                                     primary diagnosis.
LBCAT..............  Category for lab  Char.......  e.g., urinalysis,
                      test.                          urine chemistry.
LBSPEC.............  Specimen type...  Char.......  e.g., urine, serum.
LBLLOQ.............  Lower limit of    Num........  Same units as
                      quantitation.                  parameter.
LBULOQ.............  Upper limit of    Num........  Same units as
                      quantitation.                  parameter.
------------------------------------------------------------------------

B. Additional Information

    CDER requests that stakeholders comment on the following topics:
    1. To improve public health and more optimally inform drug 
development, the Agency is interested in derisking the process for data 
sharing, overall, and specifically, with regulatory authorities. For 
this Biomarker Incubator initiative, efforts to request data 
voluntarily have been piloted on a small scale (at the individual IND 
level). If there are considerations or barriers that could be addressed 
to support future data-sharing efforts, the Agency is interested in 
addressing those considerations in future voluntary data requests.
    2. FDA seeks to identify and prioritize potential topics related to 
voluntary data sharing with interested parties for possible future 
inclusion in public workshops. Please comment on specific topics that 
may be of value for public

[[Page 27060]]

discussion. Topics can be related to specific data-sharing matters or 
specific biomarkers of interest where discussion of translation would 
facilitate coordinated research efforts.
    3. Please provide input on specific biomarkers that are commonly 
collected but not yet accepted as an endpoint and have the potential to 
significantly support regulatory decisions related to safety or 
efficacy, for which aggregation of data across multiple programs may 
advance drug development.

IV. References

    The following references are on display at the Dockets Management 
Staff (see ADDRESSES) and are available for viewing by interested 
persons between 9 a.m. and 4 p.m., Monday through Friday; these are not 
available electronically at <a href="https://www.regulations.gov">https://www.regulations.gov</a> as these 
references are copyright protected. Some may be available at the 
website address, if listed. Although FDA verified the website addresses 
in this document, please note that websites are subject to change over 
time.

Chen J, J Florian, W Carter, RD Fleischer, TS Hammerstrom, PR 
Jadhav, W Zeng, J Murray, and D Birnkrant, 2013, Earlier Sustained 
Virologic Response End Points for Regulatory Approval and Dose 
Selection of Hepatitis C Therapies, Gastroenterology, 144(7):1450-
1455.e2, epub ahead of print March 5, 2013, doi: 10.1053/
j.gastro.2013.02.039.
Kalaria SN, TR Farchione, R Uppoor, M Mehta, Y Wang, and H Zhu, 
2021, Extrapolation of Efficacy and Dose Selection in Pediatrics: A 
Case Example of Atypical Antipsychotics in Adolescents With 
Schizophrenia and Bipolar I Disorder, Journal of Clinical 
Pharmacology, 61: S117-S124, doi: 10.1002/jcph.1836.
Kalaria SN, TR Farchione, MV Mathis, M Gopalakrishnan, I Younis, R 
Uppoor, M Mehta, Y Wang, and H Zhu, 2020, Assessment of Similarity 
in Antipsychotic Exposure-Response Relationships in Clinical Trials 
Between Adults and Adolescents With Acute Exacerbation of 
Schizophrenia, Journal of Clinical Pharmacology, 60(7): 848-859, 
doi: 10.1002/jcph.1580.

(Authority: 21 CFR part 10 and 21 U.S.C. 357.)

Grace R. Graham,
Deputy Commissioner for Policy, Legislation, and International Affairs.
[FR Doc. 2026-09533 Filed 5-12-26; 8:45 am]
BILLING CODE 4164-01-P


</pre><script data-cfasync="false" src="/cdn-cgi/scripts/5c5dd728/cloudflare-static/email-decode.min.js"></script></body>
</html>
Indexed from Federal Register on May 13, 2026.

This is legal information, not legal advice. Laws vary by jurisdiction and change frequently. Always verify current law with official sources and consult a licensed attorney in your jurisdiction for advice on your specific situation.