Evidence map›Paper›PMID 40438154›Full record

ReviewResearch (Washington, D.C.)2025

Nitrite Reductases in Biomedicine: From Natural Enzymes to Artificial Mimics.

Sai Zhu, Zhengbiao Liu, Bo Hu, Yonghai Feng, Guoqing Pan

Abstract readReview
In one paragraph

Review in Research (Washington, D.C.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. The Role and Mechanism of Nanozymes in Burn Wound Healing.International journal of nanomedicine · 2026
    Review
  5. Review
  6. Article
  7. Review
  8. 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

5 authors.

Sai ZhuInstitute for Advanced Materials, School of Materials Science and Engineering, Jiangsu University, Zhenjiang 212013, China.
Zhengbiao LiuDepartment of Orthopedics, Suzhou Industrial Park Xinghu Hospital, Suzhou, Jiangsu 215000, China.
Bo HuJilin Provincial Key Laboratory of Western Jilin's Clean Energy, Baicheng Normal University, Baicheng 137000, China.ORCID https://orcid.org/0009-0007-2119-3146
Yonghai FengInstitute for Advanced Materials, School of Materials Science and Engineering, Jiangsu University, Zhenjiang 212013, China.
Guoqing PanInstitute for Advanced Materials, School of Materials Science and Engineering, Jiangsu University, Zhenjiang 212013, China.ORCID https://orcid.org/0000-0001-5187-796X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nitrite reductases (NiRs) are natural enzymes that facilitate the reduction of nitrite. They are essential for the microbial nitrogen cycle and play a vital role in regulating numerous physiological and pathological processes associated with nitric oxide (NO) in living organisms. By the merits of protein engineering, a variety of artificial NiR mimics have been developed. These include traditional artificial proteins, metal-azacycle complexes, and nanozymes such as metal, metal oxide/sulfide nanoparticles, metal-organic frameworks, bioinorganic nanohybrids, and advanced single-atom nanozymes. This development marks an important milestone in broadening the application of enzyme-like catalytic nitrite reduction across various fields, such as biomedicine, biosensing, food science, and environmental science. In this review, we first outline the different types of NiRs, along with their active center structures and catalytic mechanisms, drawing from recent research and discoveries. We then classify the reported NiR mimic materials, discussing their active center structures and enzyme-like catalytic mechanisms. Additionally, we explore the potential future applications and challenges facing NiR mimics in the field of biomedicine.

Identifiers

PMID40438154
PMCPMC12117333

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Registered trials

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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.