Evidence map›Paper›PMID 34483482›Full record

ArticleSensors and actuators. B, Chemical2021

Rapid detection and identification of bacteria directly from whole blood with light scattering spectroscopy based biosensor.

Le Qiu, Lei Zhang, Gary L Horowitz, Vladimir Turzhitsky, Mark F Coughlan, Maria Glyavina, Umar Khan, Yuri N Zakharov, Edward Vitkin, Irving Itzkan and 1 more

Open access · greenAbstract read
In one paragraph

Article in Sensors and actuators. B, Chemical, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 41% of its field
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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Review
  3. 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

11 authors at 2 institutions in 1 country.

Le QiuCenter for Advanced Biomedical Imaging and Photonics, Division of Gastroenterology, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard University, Boston, Massachusetts 02215 USA.
Lei ZhangCenter for Advanced Biomedical Imaging and Photonics, Division of Gastroenterology, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard University, Boston, Massachusetts 02215 USA.
Gary L HorowitzDepartment of Pathology and Laboratory Medicine, Tufts Medical Center, Tufts University, Boston, Massachusetts 02111 USA.
Vladimir TurzhitskyCenter for Advanced Biomedical Imaging and Photonics, Division of Gastroenterology, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard University, Boston, Massachusetts 02215 USA.
Mark F CoughlanCenter for Advanced Biomedical Imaging and Photonics, Division of Gastroenterology, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard University, Boston, Massachusetts 02215 USA.
Maria GlyavinaCenter for Advanced Biomedical Imaging and Photonics, Division of Gastroenterology, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard University, Boston, Massachusetts 02215 USA.
Umar KhanCenter for Advanced Biomedical Imaging and Photonics, Division of Gastroenterology, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard University, Boston, Massachusetts 02215 USA.
Yuri N ZakharovCenter for Advanced Biomedical Imaging and Photonics, Division of Gastroenterology, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard University, Boston, Massachusetts 02215 USA.
Edward VitkinCenter for Advanced Biomedical Imaging and Photonics, Division of Gastroenterology, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard University, Boston, Massachusetts 02215 USA.
Irving ItzkanCenter for Advanced Biomedical Imaging and Photonics, Division of Gastroenterology, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard University, Boston, Massachusetts 02215 USA.
Lev T PerelmanCenter for Advanced Biomedical Imaging and Photonics, Division of Gastroenterology, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard University, Boston, Massachusetts 02215 USA.
Beth Israel Deaconess Medical Center · USTufts University · US

Funding

Endoscopic Fine-Needle Polarized Scanning Spectroscopy for Pancreatic Cystic Lesions DiagnosisR01EB025173 · NIBIB · BETH ISRAEL DEACONESS MEDICAL CENTER · PI Lev T Perelman · 2017 to 2026
$4.7M
Spectro-Holographic Instrument for Dynamic Sensing of Cancer ProgressionR01CA228029 · NCI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI PERELMAN, LEV T · 2018 to 2023
$3.4M
Isolation and Assessment of Blood-Circulating Cancer Exosomes with LSS and SERS Lab on a Chip Optical Spectroscopic InstrumentR01CA218382 · NCI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI PERELMAN, LEV T · 2018 to 2022
$3.3M
(PQ7) In Vivo Cellular Optical Imaging of Esophageal Tumors and MicroenvironmentR01CA205431 · NCI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI PERELMAN, LEV T · 2016 to 2020
$2.6M
NCI NIH HHS R01 CA205431NCI NIH HHS R01 CA218382NCI NIH HHS R01 CA228029NIBIB NIH HHS R01 EB025173
6 · The paper itself

Abstract

Bacterial infections are one of the major causes of death worldwide. The identification of a bacterial species that is the source of an infection generally takes a long time, and often exceeds the treatment window for seriously ill patients. Many of these deaths are preventable if the bacterial species can be identified quickly. Here we present an optical spectroscopic method for rapid detection and identification of bacteria directly from whole blood using a light scattering spectroscopy technique. This technique was originally developed to detect pre-cancerous changes in epithelial tissues, characterize changes in tissue on the cellular scale, and characterize biological structures comparable to or smaller than a single wavelength. We demonstrate here that not only can an inexpensive light scattering spectroscopy-based biosensor rapidly detect and identify four bacteria species in the blood, responsible for the majority of death causing infections, but that species-level identification can potentially be made based on approximately one thousand bacterial cells per milliliter of blood. Observing entire colonies or performing susceptibility testing is therefore not required.

Indexed as

BacteriaLight scattering spectroscopyRapid detectionSepsisWhole blood

Identifiers

PMID34483482
PMCPMC8415441
OpenAlexW3186557630

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.