Evidence map›Paper›PMID 40686702›Full record

ArticleTurkish journal of medical sciences2025

Forensic identification using airDNA: a preliminary study on the collection, isolation, amplification and sequencing of human DNA from air samples.

Sıtkı Tiplamaz, Zehra Ömeroğlu Ulu, Bestami Çolak, Hızır Asliyüksek, Fikrettin Şahin

Abstract read
In one paragraph

Article in Turkish journal of medical sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

5 authors.

Sıtkı TiplamazDepartment of Forensic Medicine, Faculty of Medicine, Marmara University, İstanbul, Turkiye.ORCID https://orcid.org/0000-0001-9015-940X
Zehra Ömeroğlu UluDepartment of Genetics and Bioengineering, Faculty of Engineering, Yeditepe University, İstanbul, Turkiye.ORCID https://orcid.org/0000-0002-8884-4683
Bestami ÇolakDepartment of Biology, Presidency of Council of Forensic Medicine, İstanbul, Turkiye.ORCID https://orcid.org/0000-0003-4044-491X
Hızır AsliyüksekDepartment of Biology, Presidency of Council of Forensic Medicine, İstanbul, Turkiye.ORCID https://orcid.org/0000-0001-6845-3717
Fikrettin ŞahinDepartment of Genetics and Bioengineering, Faculty of Engineering, Yeditepe University, İstanbul, Turkiye.ORCID https://orcid.org/0000-0003-1503-5567

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background/aim: Humans continuously release skin cells and DNA fragments into the air. This DNA can either remain airborne or settle onto surfaces as indoor dust. This study investigates the collection, isolation, amplification, and sequencing of human DNA from air samples, focusing on both nuclear and mitochondrial DNAs. Materials and methods: This study was conducted in a 15 m Results: The study demonstrated the feasibility of extracting and sequencing human mtDNA from air samples, while nuclear DNA quantification remained challenging. Notably, cotton filters yielded better mtDNA sequencing results compared to glass fiber filters. Despite limited nuclear DNA recovery, mtDNA sequencing was successful in several samples, providing interpretable DNA profiles. Conclusion: This preliminary study highlights the potential use of airDNA in forensic investigations, emphasizing mtDNA sequencing as a viable approach when nuclear DNA is scarce. Future studies should prioritize mtDNA sequencing and consider using glass fiber or cotton filters for optimal airDNA collection.

Indexed as

DNADNA, MitochondrialForensic GeneticsFemaleHumansMaleSequence Analysis, DNADNADNA, MitochondrialeDNAlikelihood ratiomtDNAnext generation sequencing

Identifiers

PMID40686702
PMCPMC12270289

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.