Trajectories and Mechanisms of Recovery From Malaria: An Observational Study (SCRIPT)

February 17, 2025 updated by: Imperial College London

Search for Correlates of Recovery in the Patient Transcriptome (SCRIPT) (Malaria) Study

This observational research study aims to answer the question: 'Which aspects of human biology play an important role in recovery from symptomatic malaria?'

In particular, the researchers aim to identify human genes for which the level of gene activity reflects the patient's overall rate of recovery. The researchers believe this approach may reveal new targets for adjunctive therapies.

The researchers aim to recruit 240 people, of all ages, who have been diagnosed with symptomatic malaria at selected hospitals in London. Blood samples, urine samples, and clinical information will be collected over the 14 days following malaria diagnosis.

Study Overview

Status

Active, not recruiting

Conditions

Intervention / Treatment

Study Type

Observational

Enrollment (Estimated)

240

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • London, United Kingdom
        • Imperial College Healthcare NHS Trust

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

1 week and older (Child, Adult, Older Adult)

Accepts Healthy Volunteers

No

Sampling Method

Probability Sample

Study Population

Patients of any age with symptomatic malaria confirmed by asexual stage parasitaemia (of any Plasmodium species) on blood film

Description

Inclusion Criteria:

Patients of any age with symptomatic malaria confirmed by asexual stage parasitaemia (of any Plasmodium species) on blood film.

Exclusion Criteria:

Patients with asymptomatic malaria; Patients with congenital malaria; Patients with Plasmodium gametocytaemia only; Patients with known HIV; Patients who have received antimalarial treatment for symptomatic malaria in the 28 days prior to hospital presentation; Patients who explicitly deny consent.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Genes for which expression (level of gene activity) correlates with a 'composite recovery score'
Time Frame: Each study participant will be assessed over the 14 days following malaria diagnosis
The 'composite recovery score' will be calculated by principal component analysis of rates of recovery for individual markers of tissue, organ, or organ system dysfunction, and extraction of the value of the first principal component for each participant. Genes for which expression correlates with the 'composite recovery score' will be identified by whole blood transcriptome analysis.
Each study participant will be assessed over the 14 days following malaria diagnosis

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Genes for which expression (level of gene activity) correlates with rate of recovery for individual markers of tissue, organ, or organ system dysfunction
Time Frame: Each study participant will be assessed over the 14 days following malaria diagnosis
Genes for which expression correlates with the individual markers of tissue, organ, or organ system dysfunction will be identified by whole blood transcriptome analysis.
Each study participant will be assessed over the 14 days following malaria diagnosis
Rate of recovery for individual markers of tissue, organ, or organ system dysfunction
Time Frame: Each study participant will be assessed over the 14 days following malaria diagnosis
Rates of recovery will be calculated for individual markers of tissue, organ, or organ system dysfunction
Each study participant will be assessed over the 14 days following malaria diagnosis
Sequences of clinical events predictive of recovery, as determined by Bayesian inference of dynamic pathways using the HyperTraPS statistical platform
Time Frame: Each study participant will be assessed over the 14 days following malaria diagnosis
Hypercubic transition path sampling (HyperTraPS) will be used to characterise patterns of recovery and identify predictors of fast vs slow recovery
Each study participant will be assessed over the 14 days following malaria diagnosis

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Aubrey Cunnington, PhD, Imperial College London

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

August 2, 2022

Primary Completion (Estimated)

January 5, 2026

Study Completion (Estimated)

January 5, 2026

Study Registration Dates

First Submitted

November 25, 2021

First Submitted That Met QC Criteria

November 25, 2021

First Posted (Actual)

December 8, 2021

Study Record Updates

Last Update Posted (Actual)

March 25, 2025

Last Update Submitted That Met QC Criteria

February 17, 2025

Last Verified

February 1, 2025

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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