Evidence map›Paper›PMID 41374325›Full record

ReviewDiagnostics (Basel, Switzerland)2025

Next-Generation Sequencing for Bloodstream Infections: Shaping the Future of Rapid Diagnostics and Precision Medicine.

Ayman Elbehiry, Eman Marzouk, Husam M Edrees, Moustafa H Abdelsalam, Feras Aljizani, Saad Alqarni, Eyad Khateeb, Feras Alzaben, Mai Ibrahem, Ayman M Mousa and 2 more

Abstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Review
  6. Article
  7. Review
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

12 authors.

Ayman ElbehiryDepartment of Public Health, College of Applied Medical Sciences, Qassim University, P.O. Box 6666, Buraydah 51452, Saudi Arabia.ORCID 0000-0001-7726-9532
Eman MarzoukDepartment of Public Health, College of Applied Medical Sciences, Qassim University, P.O. Box 6666, Buraydah 51452, Saudi Arabia.ORCID 0000-0003-1699-6263
Husam M EdreesDepartment of Physiology, Faculty of Medicine, University of Tabuk, Tabuk 47191, Saudi Arabia.
Moustafa H AbdelsalamDepartment of Physiology, Faculty of Medicine, University of Tabuk, Tabuk 47191, Saudi Arabia.
Feras AljizaniDepartment of Medical Laboratory, King Fahad Armed Forces Hospital, Jeddah 23311, Saudi Arabia.
Saad AlqarniDepartment of Family Medicine, King Fahad Armed Forces Hospital, Jeddah 23311, Saudi Arabia.
Eyad KhateebDepartment of Family Medicine, King Fahad Armed Forces Hospital, Jeddah 23311, Saudi Arabia.
Feras AlzabenDepartment of Food Service, King Fahad Armed Forces Hospital, Jeddah 23311, Saudi Arabia.
Mai IbrahemDepartment of Public Health, College of Applied Medical Science, King Khalid University, Abha 61421, Saudi Arabia.
Ayman M MousaDepartment of Basic Health Sciences, College of Applied Medical Sciences, Qassim University, Buraydah 51452, Saudi Arabia.
Nasser HurayshDepartment of Family Medicine, King Fahad Armed Forces Hospital, Jeddah 23311, Saudi Arabia.
Akram Abu-OkailDepartment of Pathology and Laboratory Diagnosis, College of Veterinary Medicine, Qassim University, Buraydah 51452, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bloodstream infections and sepsis necessitate rapid, sensitive, and clinically relevant diagnostics to minimize treatment delays and improve clinical outcomes. Next-generation sequencing enables culture-independent pathogen detection, antimicrobial resistance profiling, and genome-informed epidemiology. This narrative review integrates clinical evidence with practical workflows across three complementary approaches. We describe the use of plasma microbial cell-free DNA for broad organism detection and burden monitoring, as well as metagenomic next-generation sequencing of blood or plasma for unbiased pathogen discovery, including culture-negative and polymicrobial infections. Same-day Oxford Nanopore Technologies sequencing of positive blood culture broth is also discussed as a way to accelerate species identification, targeted resistance reporting, and infection-prevention decisions. We outline the sample-to-result steps, typical turnaround time (TAT), and stewardship-aligned decision points. Analytical reliability depends on effective reduction in human DNA background, stringent control of background and reagent-derived nucleic acids in low-biomass samples, and documented and validated bioinformatics workflows that are supported by curated taxonomic and resistance databases. Quantitative reports should adhere to validated thresholds and should be interpreted in the context of internal controls and clinical pretest probability. Ongoing challenges include variable correlation between genotype and phenotype for specific pathogen and antibiotic pairs, interpretation of low-level signals, and inconsistent regulatory and reimbursement environments. Advances in portable sequencing, faster laboratory and analytical workflows, and scaled liquid biopsy strategies may further reduce the TAT and expand access. Integrating these tools within One Health frameworks and global genomic surveillance programs could support early resistance detection and coordinated public health action, which could help to advance sepsis care toward more precise treatment and real-time infection control insights.

Indexed as

antimicrobial resistancebloodstream infectionsgenomic epidemiologymetagenomic sequencingmicrobial cell-free DNAnanoporepublic healthsepsis

Identifiers

PMID41374325
PMCPMC12691374

What OpenQuestion 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 OpenQuestion graph.