Evidence map›Paper›PMID 40164874›Full record

ArticlePediatric research2025

Whole blood biophysical immune profiling of newborn infants correlates with immune responses.

Kerwin Kwek Zeming, Genevieve Llanora, Kaiyun Quek, Chin Ren Goh, Nicholas Zhi Heng Ng, Jongyoon Han, Kee Thai Yeo

Abstract read
In one paragraph

Article in Pediatric research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Kerwin Kwek ZemingCritical Analytics for Manufacturing of Personalized Medicine, Singapore-MIT Alliance for Research and Technology, Singapore, Singapore.
Genevieve LlanoraDepartment of Neonatology, KK Women's & Children's Hospital, Singapore, Singapore.
Kaiyun QuekCritical Analytics for Manufacturing of Personalized Medicine, Singapore-MIT Alliance for Research and Technology, Singapore, Singapore.
Chin Ren GohCritical Analytics for Manufacturing of Personalized Medicine, Singapore-MIT Alliance for Research and Technology, Singapore, Singapore.
Nicholas Zhi Heng NgCritical Analytics for Manufacturing of Personalized Medicine, Singapore-MIT Alliance for Research and Technology, Singapore, Singapore.
Jongyoon Han *Critical Analytics for Manufacturing of Personalized Medicine, Singapore-MIT Alliance for Research and Technology, Singapore, Singapore. jyhan@mit.edu.
Kee Thai Yeo *Department of Neonatology, KK Women's & Children's Hospital, Singapore, Singapore. yeo.kee.thai@singhealth.com.sg.ORCID http://orcid.org/0000-0003-4357-3610

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is a current, absence of reliable, blood-sparing, diagnostic tools to measure and trend real-time changes in the levels of inflammation and its effects on the immune cells in the infant.

methodsWe deployed the BiophysicaL Immune Profiling for Infants (BLIPI) system in the neonatal intensive care unit to describe immune cell biophysical profiles using 50 microliters of blood per sample from term and preterm infants.

resultsA total of 19 infants (8 term, 11 preterm) were recruited and 24 blood samples were collected in their first month. Based on the profiles of immune cells' size and deformation, there was a clear distinction between term and preterm infants, with 48/50 markers significantly different. A preterm infant with late-onset bacterial sepsis had notable size and deformability differences compared to the rest of the preterm cohort. There was a significant correlation between immune cell biophysical profiles and clinical markers such as C-reactive protein, white blood cell counts, and immature-to-total neutrophil (I:T) ratios, with Pearson correlation coefficients for linear regression models of 0.98, 0.97 and 0.94 respectively.

conclusionThis study highlights the potential for the biophysical immune cell profiling system to provide an overview of the infant's current immune activation and response. IMPACT: We present a novel, minimally invasive diagnostic system that leverages the physical properties of immune cells to provide a rapid and direct assessment of the immune status, requiring 20 times less blood volume than standard tests. This study demonstrates the potential of a compact, deployable system that is capable of performing biophysical profiling to assess immune cell activation in term and preterm infants, by revealing distinct differences in cell size and deformation between groups. The system's sensitive, quantitative measures were correlated with routine clinical biomarkers, highlighting its ability to provide a rapid, minimally invasive, real-time monitoring of neonatal immune status.

Indexed as

BiomarkersImmunityC-Reactive ProteinHumansInfant, NewbornInfant, PrematureIntensive Care Units, NeonatalLeukocyte CountNeutrophilsBiomarkersC-Reactive Protein

Identifiers

PMID40164874
PMCPMC12811127

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.