Evidence map›Paper›PMID 38722429›Full record

ArticleAMB Express2024

Proteome analysis, genetic characterization, and antibiotic resistance patterns of Klebsiella pneumoniae clinical isolates.

Eman Marzouk, Adil Abalkhail, Jamaan ALqahtani, Khalid Alsowat, Menwer Alanazi, Feras Alzaben, Abdulaziz Alnasser, Anas Alasmari, Mohammed Rawway, Abdelmaged Draz and 9 more

Abstract read
In one paragraph

Article in AMB Express, 2024. 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
–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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Frontiers in microbiology · 2025
    Review
  5. Prevalence of carbapenem-resistantSaudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2024
    Article
  6. 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

19 authors.

Eman MarzoukDepartment of Public Health, College of Applied Medical Sciences, Qassim University, Buraydah, 51452 , P.O. Box 6666, Saudi Arabia. e.marzouk@qu.edu.sa.ORCID http://orcid.org/0000-0003-1699-6263
Adil AbalkhailDepartment of Public Health, College of Applied Medical Sciences, Qassim University, Buraydah, 51452 , P.O. Box 6666, Saudi Arabia.
Jamaan ALqahtaniFamily Medicine Department, King Fahad Armed Hospital, 23311, Jeddah, Saudi Arabia.
Khalid AlsowatPharmacy Department, Prince Sultan Armed Forces Hospital, 42375, Medina, Saudi Arabia.
Menwer AlanaziDental Department, King Salman Armed Forces Hospital, 47521, Tabuk, Saudi Arabia.
Feras AlzabenDepartment of Food Service, King Fahad Armed Forces Hospital, 23311, Jeddah, Saudi Arabia.
Abdulaziz AlnasserPsychiatry Department, Prince Sultan Military Medical City, 11632, Riyadh, Saudi Arabia.
Anas AlasmariNeurology department, king Fahad military hospital, 23311, Jeddah, Saudi Arabia.
Mohammed RawwayBiology Department, College of Science, Jouf University, 42421, Sakaka, Saudi Arabia.
Abdelmaged DrazDepartment of Veterinary Preventive Medicine, College of Veterinary Medicine, Qassim University, 52571, Buraydah, Saudi Arabia.
Akram Abu-OkailDepartment of Veterinary Preventive Medicine, College of Veterinary Medicine, Qassim University, 52571, Buraydah, Saudi Arabia.
Abdulmohsen AltwijeryDepartment of Food Since, King Saud University, Riyadh, Saudi Arabia.
Ihab MoussaDepartment of Botany and Microbiology, College of Science, King Saud University, 11451, Riyadh, Saudi Arabia.
Sulaiman AlsughayyirMedical Administration, Armed Forces Medical Services, 12426, Riyadh, Saudi Arabia.
Saleh AlamriPrince Sultan Military Medical City, 13525, Riyadh, Saudi Arabia.
Mohammed AlthagafiLaboratory Department, Armed Forces Center for Health Rehabilitation, 21944, Taif, Saudi Arabia.
Abdulrahman AlmalikiPhysiotherapy Department, Armed Forces Center for Health Rehabilitation, 21944, Taif, Saudi Arabia.
Ahmed Elnadif ElmanssuryDepartment of Public Health, College of Applied Medical Sciences, Qassim University, Buraydah, 51452 , P.O. Box 6666, Saudi Arabia.
Ayman ElbehiryDepartment of Public Health, College of Applied Medical Sciences, Qassim University, Buraydah, 51452 , P.O. Box 6666, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Klebsiella pneumoniae (K. pneumoniae) is a member of the ESKAPE group and is responsible for severe community and healthcare-associated infections. Certain Klebsiella species have very similar phenotypes, which presents a challenge in identifying K. pneumoniae. Multidrug-resistant K. pneumoniae is also a serious global problem that needs to be addressed. A total of 190 isolates were isolated from urine (n = 69), respiratory (n = 52), wound (n = 48) and blood (n = 21) samples collected from various hospitals in the Al-Qassim, Saudi Arabia, between March 2021 and October 2022. Our study aimed to rapidly and accurately detect K. pneumoniae using the Peptide Mass Fingerprinting (PMF) technique, confirmed by real-time PCR. Additionally, screening for antibiotic susceptibility and resistance was conducted. The primary methods for identifying K. pneumoniae isolates were culture, Gram staining, and the Vitek® 2 ID Compact system. An automated MALDI Biotyper (MBT) instrument was used for proteome identification, which was subsequently confirmed using SYBR green real-time polymerase chain reaction (real-time PCR) and microfluidic electrophoresis assays. Vitek® 2 AST-GN66 cards were utilized to evaluate the antimicrobial sensitivity of K. pneumoniae isolates. According to our results, Vitek® 2 Compact accurately identified 178 out of 190 (93.68%) K. pneumoniae isolates, while the PMF technique correctly detected 188 out of 190 (98.95%) isolates with a score value of 2.00 or higher. Principal component analysis was conducted using MBT Compass software to classify K. pneumoniae isolates based on their structure. Based on the analysis of the single peak intensities generated by MBT, the highest peak values were found at 3444, 5022, 5525, 6847, and 7537 m/z. K. pneumoniae gene testing confirmed the PMF results, with 90.53% detecting entrobactin, 70% detecting 16 S rRNA, and 32.63% detecting ferric iron uptake. The resistance of the K. pneumoniae isolates to antibiotics was as follows: 64.75% for cefazolin, 62.63% for trimethoprim/sulfamethoxazole, 59.45% for ampicillin, 58.42% for cefoxitin, 57.37% for ceftriaxone, 53.68% for cefepime, 52.11% for ampicillin-sulbactam, 50.53% for ceftazidime, 52.11% for ertapenem, and 49.47% for imipenem. Based on the results of the double-disk synergy test, 93 out of 190 (48.95%) K. pneumoniae isolates were extended-spectrum beta-lactamase. In conclusion, PMF is a powerful analytical technique used to identify K. pneumoniae isolates from clinical samples based on their proteomic characteristics. K. pneumoniae isolates have shown increasing resistance to antibiotics from different classes, including carbapenem, which poses a significant threat to human health as these infections may become difficult to treat.

Indexed as

Antibiotic resistanceGenomic analysisKlebsiella pneumoniaeProteome identificationPublic health

Identifiers

PMID38722429
PMCPMC11082098

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.