Evidence map›Paper›PMID 36161913›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2022

Label-free single-particle imaging approach for ultra-rapid detection of pathogenic bacteria in clinical samples.

Shan Chen, Yu-Wen Su, Junjie Sun, Tingting Chen, Yuhao Zheng, Lin-Jie Sui, Shuangli Yang, Chenbin Liu, Pengcheng Wang, Tengfei Li and 6 more

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

6 citing papers in PubMed, 13 citations in OpenAlex.

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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 at 7 institutions in 1 country.

Shan ChenKey Laboratory of Cardiovascular and Cerebrovascular Medicine, School of Pharmacy, Nanjing Medical University, Nanjing 211166, China.
Yu-Wen SuKey Laboratory of Cardiovascular and Cerebrovascular Medicine, School of Pharmacy, Nanjing Medical University, Nanjing 211166, China.
Junjie SunKey Laboratory of Cardiovascular and Cerebrovascular Medicine, School of Pharmacy, Nanjing Medical University, Nanjing 211166, China.
Tingting ChenOutpatient Department, School of Medical Nursing, Minjiang Teachers College, Fuzhou 350108, China.
Yuhao ZhengKey Laboratory of Cardiovascular and Cerebrovascular Medicine, School of Pharmacy, Nanjing Medical University, Nanjing 211166, China.
Lin-Jie SuiDepartment of Gynecology and Obstetrics, Sir Run Run Hospital, Nanjing Medical University, Nanjing 211166, China.
Shuangli YangKey Laboratory of Cardiovascular and Cerebrovascular Medicine, School of Pharmacy, Nanjing Medical University, Nanjing 211166, China.
Chenbin LiuDepartment of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital and Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen 518116, China.
Pengcheng WangKey Laboratory of Cardiovascular and Cerebrovascular Medicine, School of Pharmacy, Nanjing Medical University, Nanjing 211166, China.
Tengfei LiDepartment of Clinical Pharmacology, Sir Run Run Hospital, Nanjing Medical University, Nanjing 211166, China.
Qinghua ChiNursing Teaching and Research Department, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen 361003, China.
Hao SunKey Laboratory of Cardiovascular and Cerebrovascular Medicine, School of Pharmacy, Nanjing Medical University, Nanjing 211166, China.
Jinghu ChenKey Laboratory of Cardiovascular and Cerebrovascular Medicine, School of Pharmacy, Nanjing Medical University, Nanjing 211166, China.
Bo-Qun XuDepartment of Gynecology and Obstetrics, Sir Run Run Hospital, Nanjing Medical University, Nanjing 211166, China.
Zongxiong HuangNational Textile and Garment Quality Supervision Testing Center, Fujian Fiber Inspection Center, Fuzhou 350026, China.
Yimin FangKey Laboratory of Cardiovascular and Cerebrovascular Medicine, School of Pharmacy, Nanjing Medical University, Nanjing 211166, China.ORCID 0000-0002-2735-6782
Nanjing Medical University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNFirst Affiliated Hospital of Xiamen University · CNFujian Inspection and Research Institute for Product Quality · CNJiangsu Academy of Agricultural Sciences · CNMinjiang University · CNSecond Affiliated Hospital of Nanjing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid detection of pathogenic bacteria within a few minutes is the key to control infectious disease. However, rapid detection of pathogenic bacteria in clinical samples is quite a challenging task due to the complex matrix, as well as the low abundance of bacteria in real samples. Herein, we employ a label-free single-particle imaging approach to address this challenge. By tracking the scattering intensity variation of single particles in free solution, the morphological heterogeneity can be well identified with particle size smaller than the diffraction limit, facilitating the morphological identification of single bacteria from a complex matrix in a label-free manner. Furthermore, the manipulation of convection in free solution enables the rapid screening of low-abundance bacteria in a small field of view, which significantly improves the sensitivity of single-particle detection. As a proof of concept demonstration, we are able to differentiate the group B streptococci (GBS)-positive samples within 10 min from vaginal swabs without using any biological reagents. This is the most rapid and low-cost method to the best of our knowledge. We believe that such a single-particle imaging approach will find wider applications in clinical diagnosis and disease control due to its high sensitivity, rapidity, simplicity, and low cost.

Indexed as

BacteriaCommunicable DiseasesSingle-Cell AnalysisFemaleHumansParticle SizeVaginal Smearsconvectiondark field scattering microscopylabel-freemorphological identificationsingle bacteria detection

Identifiers

PMID36161913
PMCPMC9546574
OpenAlexW4297093936

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.