Evidence map›Paper›PMID 40394627›Full record

ArticleJournal of nanobiotechnology2025

Harnessing intracellular bacteria in bladder by intravesical delivery of antibiotics-loaded nanodiamonds to reduce the recurrence of urinary tract infection.

Carmen Oi Kwan Law, Hoi Man Leung, Meijun Wang, Qichang Nie, Quynh Hoa Pham, Kam Chu Han, Tak Siu Wong, Kwan Ting Chow, Pik Kwan Lo, Terrence Chi Kong Lau

Abstract read
In one paragraph

Article in Journal of nanobiotechnology, 2025. 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
–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

3 citing papers in PubMed.

  1. Review
  2. Article
  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

10 authors.

Carmen Oi Kwan Law *Department of Biomedical Sciences and Tung Biomedical Sciences Centre, City University of Hong Kong, Kowloon, Hong Kong, SAR, 999077, China.
Hoi Man Leung *Department of Chemistry and State Key Laboratory of Marine Pollution, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong SAR, 999077, China.
Meijun Wang *Department of Biomedical Sciences and Tung Biomedical Sciences Centre, City University of Hong Kong, Kowloon, Hong Kong, SAR, 999077, China.
Qichang NieDepartment of Biomedical Sciences and Tung Biomedical Sciences Centre, City University of Hong Kong, Kowloon, Hong Kong, SAR, 999077, China.
Quynh Hoa PhamDepartment of Biomedical Sciences and Tung Biomedical Sciences Centre, City University of Hong Kong, Kowloon, Hong Kong, SAR, 999077, China.
Kam Chu HanDepartment of Pathology, Pamela Youde Nethersole Eastern Hospital, 3 Lok Man Road, Chai Wan, Kowloon, Hong Kong SAR, 999077, China.
Tak Siu WongDepartment of Pathology, Pamela Youde Nethersole Eastern Hospital, 3 Lok Man Road, Chai Wan, Kowloon, Hong Kong SAR, 999077, China.
Kwan Ting ChowDepartment of Biomedical Sciences and Tung Biomedical Sciences Centre, City University of Hong Kong, Kowloon, Hong Kong, SAR, 999077, China. kwan.chow@cityu.edu.hk.
Pik Kwan LoDepartment of Chemistry and State Key Laboratory of Marine Pollution, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong SAR, 999077, China. peggylo@cityu.edu.hk.
Terrence Chi Kong LauDepartment of Biomedical Sciences and Tung Biomedical Sciences Centre, City University of Hong Kong, Kowloon, Hong Kong, SAR, 999077, China. chiklau@cityu.edu.hk.

Funding

City University of Hong Kong 7005313, 7005518City University of Hong Kong 7005832, 9680104, and 7004911City University of Hong Kong 7006039, 7020052 and 7005743Health and Medical Research Fund 07181396, and 05160336Health and Medical Research Fund 20190932 and 22211142Hong Kong Research Grants Council 11102122Hong Kong Research Grants Council 11307421, 11301220, and 11304719SKLMP Seed Collaborative Research Fund SCRF/0040the Croucher Foundation 9509002 and 9500032The Science and Technology Innovation Committee of Shenzhen Municipality JCYJ20190812160203619The Science and Technology Innovation Committee of Shenzhen Municipality JCYJ20210324133813036Tung's Biomedical Sciences Centre 9609306Tung's Biomedical Sciences Centre 9609322 and 9609308
6 · The paper itself

Abstract

Treating urinary tract infections (UTIs) effectively is a difficult task due to the emergence of antibiotic-resistant bacteria and limited antibiotic access to intracellular bacteria within the bladder lining. Numerous studies of the antibiotics-nanodiamonds (NDs) synthesis and their inhibitory effect on bacteria have been performed previously. However, their effectiveness and toxicity in cell-based and animal infection models remain unclear. In this study, we presented the utilization of biopolymer-coated nanodiamonds for the delivery of tetracycline (TET) to the intracellular bacterial communities within the bladder cells using an intravesical delivery approach, aiming to effectively treat UTIs. Compared with antibiotics alone, the TET-loaded ND-based carrier system significantly improved the clearance of intracellular bacteria in the infected cell and animal models. Moreover, the intravesical delivery avoids the potential toxic effects from NDs accumulation in the organs, and minimizes the loss of the drugs during delivery. These results offer a promising strategy to treat chronic infections and prevent the recurrence of urinary tract infections (rUTIs).

Indexed as

Anti-Bacterial AgentsNanodiamondsTetracyclineUrinary BladderUrinary Tract InfectionsAdministration, IntravesicalAnimalsDrug CarriersDrug Delivery SystemsFemaleHumansMiceRecurrenceAnti-Bacterial AgentsDrug CarriersNanodiamondsTetracyclineAntibacterial therapyAntibioticsIntravesical deliveryNanodiamondsUrinary tract infections

Identifiers

PMID40394627
PMCPMC12093853

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.