Evidence map›Paper›PMID 42004270›Full record

ArticleACS nanoscience Au2026

Simulated Microgravity Induces Rapid Dielectric Shifts in Erythrocytes of Pancreatic Cancer Patients.

Sai Deepika Reddy Yaram, Alexa Bostic, Ashley Smalley, Soumya K Srivastava

Abstract read
In one paragraph

Article in ACS nanoscience Au, 2026. 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. Machine Learning-Based Detection ofPathogens (Basel, Switzerland) · 2026
    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

4 authors.

Sai Deepika Reddy YaramDepartment of Chemical and Biomedical Engineering, West Virginia University, Morgantown, West Virginia 26506, United States.
Alexa BosticDepartment of Chemical and Biomedical Engineering, West Virginia University, Morgantown, West Virginia 26506, United States.
Ashley SmalleyDepartment of Chemical and Biomedical Engineering, West Virginia University, Morgantown, West Virginia 26506, United States.
Soumya K SrivastavaDepartment of Chemical and Biomedical Engineering, West Virginia University, Morgantown, West Virginia 26506, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatic ductal adenocarcinoma (PDAC) is among the most lethal cancers, often diagnosed at advanced stages due to the absence of early symptoms and reliable screening tools. Recent studies suggest that systemic changes in cancer, including inflammation, metabolic alterations, and circulating biomarkers, can affect red blood cells (RBCs) or erythrocytes. Although RBCs lack nuclei, those from cancer patients exhibit measurable biophysical and biochemical alterations, offering potential for novel diagnostic approaches. However, it is not known how simulated microgravity might further modulate these cancer-associated RBC dielectric properties, and the effects of microgravity on RBCs from PDAC patients remain largely unexplored. In this study, we investigate the impact of simulated microgravity (SMG) on the dielectric properties of human red blood cells from pancreatic ductal adenocarcinoma (PDAC) patients and healthy donors as controls. Cells were exposed to SMG using a clinostat for 3 and 6 h in a suspending medium with a fixed conductivity of 0.01 S/m. Dielectrophoresis (DEP), a label-free electrokinetic technique, was used to analyze cellular responses to nonuniform electric fields ranging from 0.5 kHz to 45 MHz at a constant peak-to-peak voltage of 10

Indexed as

adenocarcinomacancer biomarkerdielectric signaturesdielectrophoresiserythrocytespancreatic cancerPDACred blood cellssimulated microgravityspace medicine

Identifiers

PMID42004270
PMCPMC13087936

What OpenQuestion holds

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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.