TB-Platform for the Aggregation of Preclinical Experiments Data (TB-APEX)

The TB-APEX data platform is designed to catalyze and accelerate TB research by curating and standardizing preclinical study data and making this data publicly available to qualified researchers.

Overview

What Does the TB-APEX Data Platform Contain?

The platform contains Preclinical TB trial datasets currently consisting of Hollow Fiber Systems (In Vitro) and Animal Studies (In Vivo) contributed by the following organizations, to C-Path for use by qualified TB researchers.

1.           Evotec

2.           Baylor University

3.           Johns Hopkins University (JHU)

4.           Colorado State University (CSU)

With C-Path’s continued engagement with various TB research initiatives, additional preclinical trial data may be available in the future.

Acknowledgements:

Creation of the TB-APEX data platform was made possible by a grant from the Bill & Melinda Gates Foundation.
Continued hosting and maintenance for the TB-APEX data platform is made possible by a grant from the Innovative Medicines Initiative 2 Joint Undertaking (JU) under grant agreement No 853989. The JU receives support from the European Union’s Horizon 2020 research and innovation programme, and in-kind support from EFPIA, Global Alliance for TB Drug Development, Bill & Melinda Gates Foundation and University of Dundee.

TB-APEX data platform Content and Access:

The TB-APEX data platform will catalog contemporary (TB) preclinical trial data sets and make these data sets available to qualified researchers. Approved researchers can access patient-level data from at least sixty preclinical trials. Additional trial data is expected to be made available in the future.

For more information on TB-APEX or how your organization can contribute data, please contact: codr-eu@c-path.eu

TB-APEX Study List 

Study ID AreaNo. of Animals
or Cartridges
Title Drugs Contributors Study Type
EV-LY-TBa19003 Tuberculosis Mouse Model 265 EV-LY-TBa19003Bedaquiline, Isoniazid, Linezolid, Moxifloxacin, Pretomanid, Rifampicin, PyrazinamideEVOTEC In Vivo
EV-TL-PK2019 Tuberculosis Mouse Model 144 EV-TL-PK2019Bedaquiline, Isoniazid, Linezolid, Moxifloxacin, Pretomanid, Rifampicin, PyrazinamideEVOTEC In Vivo
Gates-03 Tuberculosis Mouse Model 174 Gates-03Rifampin, Isoniazid, Moxifloxacin, Pyrazinamide, EthambutolColorado State University (CSU) In Vivo
Gates-11 Tuberculosis Mouse Model 194 Gates-11Rifampin, Isoniazid, Pyrazinamide, EthambutolColorado State University (CSU) In Vivo
Gates-12 Tuberculosis Mouse Model 36 Gates-12Rifampin, Isoniazid, Pyrazinamide, EthambutolColorado State University (CSU) In Vivo
Gates-17 Tuberculosis Mouse Model 38 Gates-17Rifampin, Isoniazid, Pyrazinamide, EthambutolColorado State University (CSU) In Vivo
Gates-B Tuberculosis Mouse Model 477 Gates-BRifampin, Isoniazid, Pyrazinamide, MoxifloxacinColorado State University (CSU) In Vivo
JHU-2013-Expt-3c Tuberculosis Mouse Model 241 JHU-2013-Expt-3cRifampin, Isoniazid, Pyrazinamide, Bedaquiline, Pretomanid, Linezolid, SutezolidJohns Hopkins University (JHU) In Vivo
JHU-2014-Expt-3c Tuberculosis Mouse Model 160 JHU-2014-Expt-3cRifampin, Isoniazid, Pyrazinamide, Bedaquiline, Pretomanid, LinezolidJohns Hopkins University (JHU) In Vivo
JHU-2016-Expt-3c Tuberculosis Mouse Model 72 JHU-2016-Expt-3cBedaquiline, Pretomanid, LinezolidJohns Hopkins University (JHU) In Vivo
JHU-CFZ-Study1 Tuberculosis Mouse Model 100 JHU-CFZ-Study1Rifampin, Isoniazid, Pyrazinamide, EthambutolJohns Hopkins University (JHU) In Vivo
JHU-CFZ-Study2 Tuberculosis Mouse Model 54 JHU-CFZ-Study2Rifampin, Isoniazid, Pyrazinamide, EthambutolJohns Hopkins University (JHU) In Vivo
JHU-CFZ-Study3 Tuberculosis Mouse Model 83 JHU-CFZ-Study3Rifampin, Isoniazid, Pyrazinamide, EthambutolJohns Hopkins University (JHU) In Vivo
JHU-CFZ-Study4 Tuberculosis Mouse Model 81 JHU-CFZ-Study4Rifampin, Isoniazid, Pyrazinamide, EthambutolJohns Hopkins University (JHU) In Vivo
JHU-CFZ-Study5 Tuberculosis Mouse Model 63 JHU-CFZ-Study5Rifampin, Isoniazid, Pyrazinamide, EthambutolJohns Hopkins University (JHU) In Vivo
JHU-MXF-Study1 Tuberculosis Mouse Model 157 JHU-MXF-Study1Rifampin, Isoniazid, Pyrazinamide, MoxifloxacinJohns Hopkins University (JHU) In Vivo
JHU-MXF-Study2 Tuberculosis Mouse Model 254 JHU-MXF-Study2Rifampin, Isoniazid, Pyrazinamide, MoxifloxacinJohns Hopkins University (JHU) In Vivo
JHU-PMD-Study1 Tuberculosis Mouse Model 96 JHU-PMD-Study1Rifampin, Pyrazinamide, Moxifloxacin, PretomanidJohns Hopkins University (JHU) In Vivo
JHU-PMD-Study2 Tuberculosis Mouse Model 283 JHU-PMD-Study2Rifampin, Isoniazid, Pyrazinamide, Moxifloxacin, PretomanidJohns Hopkins University (JHU) In Vivo
JHU-PMD-Study3 Tuberculosis Mouse Model 112 JHU-PMD-Study3Rifampin, Isoniazid, Rifapentine, Pyrazinamide, Moxifloxacin, PretomanidJohns Hopkins University (JHU) In Vivo
JHU-PMD-Study4 Tuberculosis Mouse Model 194 JHU-PMD-Study4Rifampin, Isoniazid, Bedaquiline, Pyrazinamide, Moxifloxacin, PretomanidJohns Hopkins University (JHU) In Vivo
JHU-PMD-Study5 Tuberculosis Mouse Model 242 JHU-PMD-Study5Rifampin, Isoniazid, Pyrazinamide, Moxifloxacin, PretomanidJohns Hopkins University (JHU) In Vivo
JHU-PMD-Study6 Tuberculosis Mouse Model 100 JHU-PMD-Study6Rifampin, Isoniazid, Pyrazinamide, Moxifloxacin, PretomanidJohns Hopkins University (JHU) In Vivo
JHU-PMD-Study7 Tuberculosis Mouse Model 172 JHU-PMD-Study7Rifampin, Isoniazid, Pyrazinamide, Moxifloxacin, PretomanidJohns Hopkins University (JHU) In Vivo
JHU-PMD-Study8 Tuberculosis Mouse Model 181 JHU-PMD-Study8Rifampin, Isoniazid, Pyrazinamide, Moxifloxacin, PretomanidJohns Hopkins University (JHU) In Vivo
JHU-PZA-Study1 Tuberculosis Mouse Model 107 JHU-PZA-Study1Rifampin, Isoniazid, Pyrazinamide, EthambutolJohns Hopkins University (JHU) In Vivo
JHU-REMox-Study1 Tuberculosis Mouse Model 136 JHU-REMox-Study1Rifampin, Isoniazid, Pyrazinamide, Moxifloxacin, EthambutolJohns Hopkins University (JHU) In Vivo
JHU-RPT-Study1 Tuberculosis Mouse Model 220 JHU-RPT-Study1Rifampin, Isoniazid, Pyrazinamide, Moxifloxacin, RifapentineJohns Hopkins University (JHU) In Vivo
JHU-RPT-Study2 Tuberculosis Mouse Model 156 JHU-RPT-Study2Rifampin, Isoniazid, Pyrazinamide, Moxifloxacin, RifapentineJohns Hopkins University (JHU) In Vivo
HFS-50 Tuberculosis Hollow Fiber 12 PAMZ_log_phase_CPTRPA-824, Moxifloxacin, Pyrazinamide, Isoniazid, RifampicinBAYLOR In Vitro
HFS-53 Tuberculosis Hollow Fiber 12 PaMZ_semidormantPA-824, Moxifloxacin, Pyrazinamide, Isoniazid, RifampicinBAYLOR In Vitro
HFS-63 Tuberculosis Hollow Fiber 12 PaMZ_IntracellularPA-824, Moxifloxacin, Pyrazinamide, Isoniazid, RifampicinBAYLOR In Vitro
HFS-64 Tuberculosis Hollow Fiber 24 HF64_CPTR_Sutezolid Revised.2 Sutezolid BAYLOR In Vitro
HFS-82 Tuberculosis Hollow Fiber 24 HF82_CPTR_Sutezolid Final Data Set Sutezolid BAYLOR In Vitro
HFS-83 Tuberculosis Hollow Fiber 24 HF83_CPTR_Sutezolid @ ph5.8 Sutezolid BAYLOR In Vitro
HFS-84 Tuberculosis Hollow Fiber 30 HFS84_CPTR_Delamanid_data_set_LPG Delamanid BAYLOR In Vitro
HFS-86 Tuberculosis Hollow Fiber 6 HF86_CPTR_BDQ pK Data Set Bedaquiline BAYLOR In Vitro
HFS-87 Tuberculosis Hollow Fiber 18 CPTR HFS 87_Oxazolidinine_LPGLinezolid, Sutezolid, TedizolidBAYLOR In Vitro
HFS-94 Tuberculosis Hollow Fiber 24 HF94_CPTR_Delaminid at 5.8_Data Set Delamanid BAYLOR In Vitro
HFS-96 Tuberculosis Hollow Fiber 24 HFS-96_OPC_LogPhase OPC BAYLOR In Vitro
HFS-97 Tuberculosis Hollow Fiber 12 CPTR HF97_Oxazolidinine_head-to-head_SDBLinezolid, Sutezolid, TedizolidBAYLOR In Vitro
HFS-99 Tuberculosis Hollow Fiber 20 HFS99 Delamanid_data_set_intracellular Delaminid BAYLOR In Vitro
HFS-100 Tuberculosis Hollow Fiber 12 CPTR_HF100_IC_oxzolidinone_head-to-headLinezolid, Sutezolid, TedizolidBAYLOR In Vitro
HFS-101 Tuberculosis Hollow Fiber 24 HFS-101_OPC_H37Ra_IntraCellular_ OPC BAYLOR In Vitro
HFS-102 Tuberculosis Hollow Fiber 24 HFS-102_OPC_H37Rv_SemiDormant_Phase OPC BAYLOR In Vitro
HFS-105 Tuberculosis Hollow Fiber 24 HSF-105 sutezolid plus metaboliteSutezolid, metaboliteBAYLOR In Vitro
HFS-107 Tuberculosis Hollow Fiber 26 HF107_CPTR_OPC_Del_H37Ra LogPhaseOPC-167832 &/or Delaminid or Isoniazid, Rifampicin, PyrazinamideBAYLOR In Vitro
HFS-108 Tuberculosis Hollow Fiber 26 HF108_OPC_Del_Combo_H37Rv_SterilizingOPC-167832 &/or Delaminid or Isoniazid, Rifampicin, PyrazinamideBAYLOR In Vitro
HFS-109 Tuberculosis Hollow Fiber 26 HF109_OPC_Del_Combo_H37Ra_IntraCellularOPC-167832 &/or Delaminid or Isoniazid, Rifampicin, PyrazinamideBAYLOR In Vitro
HFS-115 Tuberculosis Hollow Fiber 24 HF115_CPTR_Bedaquiline_H37Rv_SRB Bedaquiline BAYLOR In Vitro
HFS-116 Tuberculosis Hollow Fiber 22 HF116_CPTR_Comb_H37Rv_SRB_Final_ReportBedaquiline, Delaminid, Moxifloxacin, OPC, Pretomanid, Sutezolid, Pyrazinamide, INH, RMPBAYLOR In Vitro
HFS-117 Tuberculosis Hollow Fiber 22 HF117_CPTR_Comb_H37Ra_LogPhase_Final RptBedaquiline, Delaminid, Moxifloxacin, OPC, Pretomanid, Sutezolid, Pyrazinamide, INH, RMPBAYLOR In Vitro
HRZE-R1 Tuberculosis Hollow Fiber 10 HRZE R1Isoniazid, Rifampicin, Pyrazinamide, EthambutolEVOTEC In Vitro
HRZE-R2 Tuberculosis Hollow Fiber 10 HRZE R2Isoniazid, Rifampicin, Pyrazinamide, EthambutolEVOTEC In Vitro
HRZE-R3 Tuberculosis Hollow Fiber 10 HRZE R3Isoniazid, Rifampicin, Pyrazinamide, EthambutolEVOTEC In Vitro
PaMZ-R1 Tuberculosis Hollow Fiber 10 PaMZ R1Pretomanid, Moxifloxacin, PyrazinamideEVOTEC In Vitro
PaMZ-R2 Tuberculosis Hollow Fiber 10 PaMZ R2Pretomanid, Moxifloxacin, PyrazinamideEVOTEC In Vitro
PaMZ-R3 Tuberculosis Hollow Fiber 10 PaMZ R3Pretomanid, Moxifloxacin, PyrazinamideEVOTEC In Vitro
REMox-R1 Tuberculosis Hollow Fiber 10 REMox R1Rifampicin, Ethambutol, Moxifloxacin, PyrazinamideEVOTEC In Vitro
REMox-R2 Tuberculosis Hollow Fiber 10 REMox R2Rifampicin, Ethambutol, Moxifloxacin, PyrazinamideEVOTEC In Vitro
REMox-R3 Tuberculosis Hollow Fiber 10 REMox R3Rifampicin, Ethambutol, Moxifloxacin, PyrazinamideEVOTEC In Vitro

Important Information about the TB-APEX Platform

What data does the TB-APEX data platform contain? FAQ Icon

The platform contains Preclinical TB trial datasets currently consisting of Hollow Fiber Systems (In Vitro) and Animal Studies (In Vivo) contributed by the following organizations, to C-Path for use by qualified TB researchers.

1. Evotec
2. Baylor University
3. Johns Hopkins University (JHU)
4. Colorado State University (CSU)

With C-Path’s continued engagement with various TB research initiatives, additional preclinical trial data may be available in the future.

How do I suggest improvements to the TB-PACTS data platform? FAQ Icon

We appreciate suggestions on improvements to the TB-PACTS data platform. Please send your comments and suggestions to Richard Liwski (u003ca href=u0022mailto:rliwski@c-path.orgu0022 target=u0022_blanku0022 rel=u0022noopeneru0022u003erliwski@c-path.orgu003c/au003e).

What data are contained in the TB-PACTS data platform? FAQ Icon

The TB-PACTS data platform contains TB clinical study data, which includes demographic information, concomitant medications information, dose/concentration information, outcomes data, and relevant covariates of interest. Additional information specific to data content will be available to registered users of the TB-PACTS data platform.

How are the data standardized? FAQ Icon

The data are mapped to the Clinical Data Interchange Standards Consortium (CDISC) Standard Data Tabulation Model (SDTM), and TB-specific Therapeutic Area User Guide (v2) to maximize utility of aggregated data for statistical analysis. All data are fully anonymized.

Important Information about the TB-APEX Data Platform Content and Access:

The database contains, but is not limited to data on: FAQ Icon
  • Treatments
  • Drug resistance
  • Demographics
  • Biospecimen Events
  • Body Weight
  • Disposition
  • Pharmacokinetics Concentration
  • Pharmacokinetics Parameters
  • Microbiology Specimen
  • Microbiology Susceptibility
  • Biospecimen Events
  • Trial Level Data

Please note that in light differences in experimental protocols and approaches per data contributor, the data listed above may vary per study. All data have been remapped to a common data standard such that data can be analyzed across all studies.

The TB-APEX Data Platform is available to qualified researchers who have submitted a sound TB research proposal, have agreed to the “TB-APEX Terms and Conditions for Data Use”, and have been approved through the TB-APEX access review process.

Important information about data standardization: FAQ Icon

The data is mapped to the Clinical Data Interchange Standards Consortium (CDISC) Standard for Exchange of Nonclinical Data (SEND), Standard Data Tabulation Model (SDTM), Animal Rule Guide (SENDIG-AR v1.0) and Pharmacogenomics/Genetics Guide (PGxIG v1). Knowledge of SDTM and SEND is required for effective use of the data. Information and training on SDTM and SEND are available on the CDISC website (http://www.cdisc.org/Education).

 

Selected domains contained in the TB-APEX Data Platform
CDISC Domain Variables of Interest
DM Age, Gender, Species, Strain, Trial Arm
MS Drug Resistance Information
MB Culture Results (CFU)
BW Body Weight of Animal
EX Drug Name, Drug Dose, Route & Drug Strength
AG Procedure Agent Name & Dose
PC Concentration measurements for administered compounds and their metabolites

 

FAQs/Training

General Questions

Is there a fee for using the TB-APEX data platform? FAQ Icon

There is no fee to use the TB-APEX data platform.

How do I suggest improvements to the TB-APEX data platform? FAQ Icon

We appreciate suggestions on improvements to the TB-APEX data platform. Please send your comments and suggestions to: codr-eu@c-path.eu.

What data are contained in the TB-APEX data platform? FAQ Icon

The TB-APEX data platform contains TB preclinical study data, which includes demographic information, dose/concentration information, drug resistance information, biospecimen events, subject body weight, subject disposition, PK results and parameter, microbiological specimen results and study level information.

Additional information specific to data content will be available to registered users of the TB-APEX data platform.

How are the data standardized? FAQ Icon

The data is mapped to the Clinical Data Interchange Standards Consortium (CDISC) Standard for Exchange of Nonclinical Data (SEND), Standard Data Tabulation Model (SDTM), Animal Rule Guide (SENDIG-AR v1.0) and Pharmacogenomics/Genetics Guide (PGxIG v1) to maximize utility of aggregated data for statistical analysis.

Registration for Access Questions:

How do I register for access to the TB-APEX data platform? FAQ Icon

A: Visit the Data Archive Platform   page on this website to register for access. You must first review and agree to the Terms and Conditions for Use of the TB-APEX data platform.  Once completed, researchers will be directed to the online application form.

 

How long will it take to process my access request? FAQ Icon

The TB-APEX Steering Committee will review all user access applications in a timely manner, and this may take up to 4 weeks to process.

Data Contribution Questions:

How and when can I contribute my data to the TB-APEX data platform? FAQ Icon

Individuals, organizations, institutions, and countries (health ministries, national TB programs, etc.) are encouraged to contribute preclinical study data. In addition to the study dataset, submitting organizations will be requested to provide information regarding study methodology and demographic data for their submissions. For additional information please contact: codr-eu@c-path.eu.

 

Will I retain ownership of the data that I am contributing to the TB-APEX data platform? FAQ Icon

Yes, data ownership is always retained by the data contributor.

 

What measures are in place to ensure data platform security? FAQ Icon

TB-APEX data platform policies for data transfer, validation, processing and access include the following features to ensure that the data are safe and secure:

  • Secure file transfer
  • OS hardening and security updates
  • Host-based intrusion detection/prevention system
  • Anti-malware protection
  • Automated log monitoring and alert system
  • Data access controls for incoming server, investigational database, analysis datasets
  • Data backup and disaster recovery
  • Data provenance – changes to data will be traceable and auditable throughout its lifecycle
  • Multi-factor authentication
  • Multi-tier network structure
  • File integrity monitor
How should data be formatted for contribution to the TB-APEX data platform? FAQ Icon

Multiple data formats can be accommodated including text, csv, xls or SAS transport files. Supporting information can be PDF, text, Microsoft Word or other document formats. Critical Path Institute will provide guidance as needed to data contributors.