Diese Seite wurde automatisch übersetzt und die Genauigkeit der Übersetzung wird nicht garantiert. Bitte wende dich an die englische Version für einen Quelltext.

Global Longitudinal Health Monitoring and Blood Sample Collection Study to Promote Early-stage Disease Detection and Personalized/Precision Care Using Innovative Research Platforms

29. April 2026 aktualisiert von: Prof Dennis Kai-Ming Ip, The University of Hong Kong
The investigators propose a prospective, longitudinal, observational study to improve health assessment by analyzing blood plasma molecular patterns in each individual over time using artificial intelligence (AI) to identify key measurements for early detection of NCDs. It will develop personalized reference ranges and screening methods, laying the foundation for population-based early detection. This study focus on collecting health data and biospecimen samples to understand early molecular changes linked to disease.

Studienübersicht

Status

Noch keine Rekrutierung

Detaillierte Beschreibung

Background:

According to the WHO, non-communicable diseases (NCDs) cause about 70% of global deaths-over 43 million in 2021- with up to 90% in high-income countries. These diseases are linked to risk factors such as unhealthy diets, inactivity, tobacco, and alcohol, leading to long-term health issues and economic burdens. Current screening methods mainly detect clinical signs but lack early sensitivity. Emerging approaches focus on biomarkers, advanced technologies, and machine learning to improve early detection and personalized prevention, aiming to reduce NCD impact and improve health outcomes.

An individual's blood parameters are usually stable and reflect their unique physiology. Comparing current results to personal baseline ranges is more sensitive for detecting health issues than using general population standards. This personalized approach aims to identify early molecular changes indicating potential NCDs. This study builds upon the ongoing Health for Hungary (H4H) (https://www.h4h.hu/en/) project conducted by the Center for Molecular Fingerprinting, a non-profit research institution in Hungary led by 2023 Nobel Laureate in Physics, Prof. Ferenc Krausz (https://www.physics.hku.hk/people/academic_staff/teaching_staff/f_krausz/).

Aim:

The primary scientific goal of the project is to quantitatively parametrize health in terms of time series of integrated molecular parameters and molecular pattern recognition from human blood plasma, and leverage AI to discover the minimum set of molecular data of blood that reliably assess and predict any changes in human health. The overarching aim of the study is to establish the technological and economic basis for a population-based health screening for major NCDs.

Study Design and overview:

The study is a prospective, longitudinal, observational study with no therapeutic intervention, focusing on collecting health data and samples to understand early molecular changes linked to disease. A total of 15,000 participants will be recruited. This study aims to recruit participants in a 1 to 1 ratio across the two groups (Low-risk arm and High-risk arm). Participants, including both sexes aged 40-70 years at enrollment, will be recruited and assigned to one of two distinct cohorts based on their NCD risk profile:

  1. Low-risk arm: a cohort of 7,500 participants with the absence of modifiable cardiovascular risk factors, who are at low risk of contracting selected NCDs,
  2. High-risk arm: a cohort of 7,500 participants with the presence of cardiovascular risk factors, who are at high risk of contracting selected NCDs.

Participants are to be clinically followed up for 10 years, and followed by continuous regular outcome ascertainment for an additional 10 years only through data-linkage.

The study begins with a baseline visit on Visit 1 to determine the participants' eligibility for the study and signing of informed consent form. Participants will be completed a detailed 30-minute health questionnaire, body measurements, undergo vital signs and resting ECG assessment, and provide fasting blood for molecular fingerprinting measurement and routine laboratory testing including Complete blood counts, Liver function tests, Kidney function tests, Metabolic and lipid panels, Thyroid function tests, Inflammatory markers and Tumor markers. Urine samples will be tested for urinalysis and microalbuminuria. Eligibility will be confirmed after a medical review of the participants' electronic health record (if applicable) and the collected data.

Three additional monthly baseline visits occur during Months 2-4, involving fasting blood collection, a short health update questionnaire, directed physical exam, and reporting of any adverse events. Coronary artery calcium score test (CAC) and Low-dose chest CT scan (LDCT) (aged 50 or more and are with ≥ 20 pack years at visit 1, i.e. high risk group only) will be performed for applicable high-risk participants as part of extended medical check-up at visit 2-4. Between visit 2 and visit 4, CAC and LDCT should be performed once only.

Finally, a Comprehensive Medical Check-Up will be arranged at Years 5 (Visit 13) and 10 (Visit 23) for both high-risk and low-risk participants, while high-risk participants will undergo repeated CAC test and LDCT scan. Over the following 10 years, participants will be attended half-yearly follow-up visits that include a short questionnaire, body measurements, vital signs, ECG, fasting blood and urine collection, and reporting of new health conditions. After Year 10, no further clinic visits are planned, but the study team will continue annual health record review for another 10 years and may contact participants or their next of kin for additional health information.

Primary outcome measures:

Identification of molecular signatures associated with specific risk profiles and disease trajectories

Main data analysis:

Full Analysis Set and Per-Protocol Set (PPS) approach

Potential significance:

The findings will help to establish the technological and economic basis for a population-based health screening for major NCDs

Studientyp

Beobachtungs

Einschreibung (Geschätzt)

15000

Kontakte und Standorte

Dieser Abschnitt enthält die Kontaktdaten derjenigen, die die Studie durchführen, und Informationen darüber, wo diese Studie durchgeführt wird.

Studienkontakt

  • Name: Teresa HC So
  • Telefonnummer: (+852) 39176714
  • E-Mail: haso9150@hku.hk

Studienorte

      • Hong Kong, Hongkong
        • School of Public Health, The University of Hong Kong

Teilnahmekriterien

Forscher suchen nach Personen, die einer bestimmten Beschreibung entsprechen, die als Auswahlkriterien bezeichnet werden. Einige Beispiele für diese Kriterien sind der allgemeine Gesundheitszustand einer Person oder frühere Behandlungen.

Zulassungskriterien

Studienberechtigtes Alter

  • Erwachsene
  • Älterer Erwachsener

Akzeptiert gesunde Freiwillige

Ja

Probenahmeverfahren

Nicht-Wahrscheinlichkeitsprobe

Studienpopulation

Participants, including both sexes aged 40-70 years at enrollment in Hong Kong. Participants will be assigned to one of two distinct cohorts based on their NCD risk profile:

  1. Low-risk arm: a cohort of 7,500 participants with the absence of modifiable cardiovascular risk factors, who are at low risk of contracting selected NCDs,
  2. High-risk arm: a cohort of 7,500 participants with the presence of cardiovascular risk factors, who are at high risk of contracting selected

Those who are deemed preliminarily eligible will be scheduled for an initial study visit at a designated study site (e.g., Phase 1 Clinical Trials Unit, The University of Hong Kong) for screening, consenting and enrolment procedures.

Beschreibung

Inclusion Criteria:

  1. Signed informed consent form (ICF) of the study.
  2. Male or female participants.
  3. Age at Visit 1: 40 years - 70 years.
  4. For Low-risk Arm: Assessed as healthy (free of acute or chronic disease) with no cardiovascular risk conditions listed in Inclusion criteria 5. Participants may have mild disorders that do not require regular therapeutic (pharmacological) intervention; For High-risk Arm: Assessed as healthy (free of acute or chronic diseases) with cardiovascular risk conditions listed in Inclusion criteria 5. Participant may have mild disorders that do not require regular therapeutic (pharmacological) intervention.
  5. For Low-risk Arm: Has low risk to contract an NCD in the upcoming years, according to the following criteria: a) Non-hypertensive person according to criteria of the relevant national guideline, who never received antihypertensive medication; b) Total cholesterol: < 5.2 mmol/L (<200 mg/dL) with no history of lipid-lowering (e.g., statin) treatment; c) Non smoker or with no significant smoking history (<5 pack-years); For High-risk Arm: Has high risk to contract an NCD in the upcoming years, confirmed by the presence of at least 2 out of the following 3 criteria (a, b, c): a) Medically controlled hypertension: participants with diagnosed hypertension receiving antihypertensive medication ; b) Medically controlled dyslipidemia or hypercholesterolemia: participants with diagnosed dyslipidemia or hypercholesterolemia receiving lipid-lowering medication; c) Significant smoking history (tobacco exposure of >20 pack-years) and/or 1st degree family member with history of lung cancer.
  6. BMI: 18.5 - 35.0 kg/m^2.
  7. Willingness to fill in the study questionnaire.
  8. Willingness to participate in future visits and medical investigations as defined per protocol.
  9. Willingness to be followed-up on disease outcome through data linkage to the participant's health-related records.

Exclusion Criteria:

  1. Pregnancy at Visit 1 (self-reported, no test required).
  2. For low-risk arm: Past medical history (PMH) of target NCDs, any other significant health conditions, clinical symptoms, abnormalities of blood parameters or medical tests suggesting the presence of abnormal health conditions at Visit 1. Any condition that is inadequately controlled. The sponsor should be contacted for advice in case of any uncertainties; For high-risk arm: Except for the conditions mentioned under inclusion criteria (point 5a and b), participants with PMH of target NCDs, any other health conditions, clinical symptoms, abnormalities of blood parameters or medical tests suggesting the presence of abnormal health conditions at Visit 1 are excluded from the study. Any condition that is inadequately controlled. Sponsor should be contacted for advice in case of any uncertainties.
  3. For low-risk arm: Any chronic, systemic drug therapy at Visit 1 (prescription); For high-risk arm: Any chronic, systemic drug therapy at Visit 1 except for conditions mentioned under Inclusion criteria (point 5a and b).
  4. History of HIV, HBV, HCV or HEV infection at Visit 1.
  5. Vulnerable participants.
  6. Foreseeable lack of compliance.

Studienplan

Dieser Abschnitt enthält Einzelheiten zum Studienplan, einschließlich des Studiendesigns und der Messung der Studieninhalte.

Wie ist die Studie aufgebaut?

Designdetails

Kohorten und Interventionen

Gruppe / Kohorte
Low-risk arm
a cohort of 7,500 participants with the absence of modifiable cardiovascular risk factors, who are at low risk of contracting selected NCDs
High-risk arm
a cohort of 7,500 participants with the presence of cardiovascular risk factors, who are at high risk of contracting selected NCDs

Was misst die Studie?

Primäre Ergebnismessungen

Ergebnis Maßnahme
Maßnahmenbeschreibung
Zeitfenster
Establish Personalized Molecular Baselines
Zeitfenster: 10 years
Longitudinal blood sampling from participants in a healthy state (i.e., free from NCDs) will allow comparison between the intra- and inter-individual stability of thousands of molecular variables. Stable molecular signatures will be defined within their personalized reference range, which characterizes an individual's current health state.
10 years
Establishment of Health Screening Algorithm
Zeitfenster: 10 years
Create an AI-driven health screening tool for predicting diseases based on personalized molecular profiles and health parameters. This algorithm will be made to find early signs of disease before clinical symptoms show up by looking for any deviations from an individual's personalized molecular baseline.
10 years
Identification of molecular signatures
Zeitfenster: 10 years
Identify subtle molecular signatures that precede the clinical manifestation of diseases
10 years

Mitarbeiter und Ermittler

Hier finden Sie Personen und Organisationen, die an dieser Studie beteiligt sind.

Ermittler

  • Hauptermittler: Dennis KM Ip, MD, School of Public Health, The University of Hong Kong

Studienaufzeichnungsdaten

Diese Daten verfolgen den Fortschritt der Übermittlung von Studienaufzeichnungen und zusammenfassenden Ergebnissen an ClinicalTrials.gov. Studienaufzeichnungen und gemeldete Ergebnisse werden von der National Library of Medicine (NLM) überprüft, um sicherzustellen, dass sie bestimmten Qualitätskontrollstandards entsprechen, bevor sie auf der öffentlichen Website veröffentlicht werden.

Haupttermine studieren

Studienbeginn (Geschätzt)

1. Mai 2026

Primärer Abschluss (Geschätzt)

29. Mai 2048

Studienabschluss (Geschätzt)

29. Mai 2048

Studienanmeldedaten

Zuerst eingereicht

29. April 2026

Zuerst eingereicht, das die QC-Kriterien erfüllt hat

29. April 2026

Zuerst gepostet (Tatsächlich)

6. Mai 2026

Studienaufzeichnungsaktualisierungen

Letztes Update gepostet (Tatsächlich)

6. Mai 2026

Letztes eingereichtes Update, das die QC-Kriterien erfüllt

29. April 2026

Zuletzt verifiziert

1. April 2026

Mehr Informationen

Begriffe im Zusammenhang mit dieser Studie

Plan für individuelle Teilnehmerdaten (IPD)

Planen Sie, individuelle Teilnehmerdaten (IPD) zu teilen?

NEIN

Arzneimittel- und Geräteinformationen, Studienunterlagen

Studiert ein von der US-amerikanischen FDA reguliertes Arzneimittelprodukt

Nein

Studiert ein von der US-amerikanischen FDA reguliertes Geräteprodukt

Nein

Diese Informationen wurden ohne Änderungen direkt von der Website clinicaltrials.gov abgerufen. Wenn Sie Ihre Studiendaten ändern, entfernen oder aktualisieren möchten, wenden Sie sich bitte an register@clinicaltrials.gov. Sobald eine Änderung auf clinicaltrials.gov implementiert wird, wird diese automatisch auch auf unserer Website aktualisiert .

Klinische Studien zur Hypertonie

Abonnieren