Evidence map›Paper›PMID 40891106›Full record

ArticleBiotechnology journal2025

Raman Spectroscopy Can Identify Acute and Persistent Biochemical Changes in Leukocytes From Patients With COVID-19 and Non-COVID-19-Associated Sepsis.

Anuradha Ramoji, Philipp Baumbach, Oleg Ryabchykov, Aikaterini Pistiki, Jan Rueger, David Vasquez Pinzon, Anja Silge, Stefanie Deinhardt-Emmer, Iwan W Schie, Karina Weber and 6 more

Abstract read
In one paragraph

Article in Biotechnology journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

16 authors.

Anuradha RamojiInstitute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University Jena, Member of the Leibniz Centre for Photonics in Infection Research (LPI), Jena, Germany.
Philipp BaumbachDepartment of Anesthesiology and Intensive Care, Jena University Hospital, Friedrich-Schiller-University, Jena, Germany.
Oleg RyabchykovInstitute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University Jena, Member of the Leibniz Centre for Photonics in Infection Research (LPI), Jena, Germany.
Aikaterini PistikiInstitute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University Jena, Member of the Leibniz Centre for Photonics in Infection Research (LPI), Jena, Germany.
Jan RuegerLeibniz Institute of Photonic Technology - Member of the Research Alliance "Leibniz Health Technologies", Member of the Leibniz Centre For Photonics in Infection Research (LPI), Jena, Germany.
David Vasquez PinzonLeibniz Institute of Photonic Technology - Member of the Research Alliance "Leibniz Health Technologies", Member of the Leibniz Centre For Photonics in Infection Research (LPI), Jena, Germany.
Anja SilgeLeibniz Institute of Photonic Technology - Member of the Research Alliance "Leibniz Health Technologies", Member of the Leibniz Centre For Photonics in Infection Research (LPI), Jena, Germany.
Stefanie Deinhardt-EmmerInstitute of Medical Microbiology, Jena University Hospital, Friedrich-Schiller-University Jena, Jena, Germany.
Iwan W SchieLeibniz Institute of Photonic Technology - Member of the Research Alliance "Leibniz Health Technologies", Member of the Leibniz Centre For Photonics in Infection Research (LPI), Jena, Germany.
Karina WeberLeibniz Institute of Photonic Technology - Member of the Research Alliance "Leibniz Health Technologies", Member of the Leibniz Centre For Photonics in Infection Research (LPI), Jena, Germany.
Charles NeuDepartment of Anesthesiology and Intensive Care, Jena University Hospital, Friedrich-Schiller-University, Jena, Germany.
Ute NeugebauerInstitute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University Jena, Member of the Leibniz Centre for Photonics in Infection Research (LPI), Jena, Germany.
Michael KiehntopfInstitute for Clinical Chemistry and Laboratory Diagnostics, Jena University Hospital, Jena, Germany.
Thomas BocklitzInstitute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University Jena, Member of the Leibniz Centre for Photonics in Infection Research (LPI), Jena, Germany.
Juergen PoppInstitute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University Jena, Member of the Leibniz Centre for Photonics in Infection Research (LPI), Jena, Germany.
Sina M ColdeweyDepartment of Anesthesiology and Intensive Care, Jena University Hospital, Friedrich-Schiller-University, Jena, Germany.ORCID https://orcid.org/0000-0002-7130-0006

Funding

Bundesministerium für Bildung und Forschung 03COV07Bundesministerium für Bildung und Forschung 03Z22JN12Bundesministerium für Bildung und Forschung 13N15466Bundesministerium für Bildung und Forschung 13N15704Bundesministerium für Bildung und Forschung 13N15708Bundesministerium für Bildung und Forschung 13N15713Bundesministerium für Bildung und Forschung 13N15715Bundesministerium für Bildung und Forschung 13N15716Bundesministerium für Bildung und Forschung 13N15745
6 · The paper itself

Abstract

Sepsis remains a major clinical challenge, often resulting in long-term physiological and immunological disturbances. This study employed high-throughput single-cell Raman spectroscopy to analyze the biochemical profiles of peripheral blood leukocytes from patients with non-COVID-19 and COVID-19-associated sepsis. Leukocytes were assessed at multiple timepoints, including the acute phase (Days 3 and 7 after sepsis onset) and late recovery phase (6 and 12 months after sepsis onset). Raman spectroscopic profiles of leukocytes showed clear separation between healthy controls and sepsis patients during the acute phase with high balanced accuracy (BAcc: 95%-98%). Spectral differences between acute and recovery phases (BAcc: 84%-97%) and between recovery-phase leukocytes and those from healthy controls (BAcc: 81%-90%) were also observed, indicating long-lasting molecular alterations. Furthermore, distinct profiles were identified between non-COVID-19 and COVID-19-associated sepsis during the acute phase (BAcc: 65%-71%) and in the late-recovery phase (BAcc: 71%-83%). These findings demonstrate that Raman spectroscopy enables label-free, high-throughput profiling of leukocyte biochemistry across the sepsis trajectory. This suggests that Raman spectroscopy is a promising tool for high-throughput screening, offering insights into the biomolecular changes in sepsis and providing a diagnostic platform to differentiate between sepsis etiologies, a significant advancement in the field of sepsis diagnostics.

Indexed as

COVID-19LeukocytesSepsisSpectrum Analysis, RamanAdultAgedFemaleHumansMaleMiddle AgedSARS-CoV-2Single-Cell AnalysisCOVID‐19critical carecritical illnessintensive care unitleukocytesRaman spectroscopysepsis

Identifiers

PMID40891106
PMCPMC12402750

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Registered trials

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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 OpenQuestion graph.