Evidence map›Paper›PMID 28848528›Full record

ArticleFrontiers in microbiology2017

Biochemical Mechanisms and Microorganisms Involved in Anaerobic Testosterone Metabolism in Estuarine Sediments.

Chao-Jen Shih, Yi-Lung Chen, Chia-Hsiang Wang, Sean T-S Wei, I-Ting Lin, Wael A Ismail, Yin-Ru Chiang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.3field-weighted citation impact, top 19% of its field
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

11 citing papers in PubMed, 24 citations in OpenAlex.

  1. Bacteria on steroids.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  2. Bacterial estrogenesis without oxygen: Wood-Ljungdahl pathway likely contributed to the emergence of estrogens in the biosphere.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. 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

7 authors at 3 institutions in 2 countries.

Chao-Jen ShihBiodiversity Research Center, Academia SinicaTaipei, Taiwan.
Yi-Lung ChenBiodiversity Research Center, Academia SinicaTaipei, Taiwan.
Chia-Hsiang WangBiodiversity Research Center, Academia SinicaTaipei, Taiwan.
Sean T-S WeiBiodiversity Research Center, Academia SinicaTaipei, Taiwan.
I-Ting LinBiodiversity Research Center, Academia SinicaTaipei, Taiwan.
Wael A IsmailEnvironmental Biotechnology Program, Department of Life Sciences, College of Graduate Studies, Arabian Gulf UniversityManama, Bahrain.
Yin-Ru ChiangBiodiversity Research Center, Academia SinicaTaipei, Taiwan.
Biodiversity Research Center, Academia Sinica · TWArabian Gulf University · BHFood Industry Research and Development Institute · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current knowledge on the biochemical mechanisms underlying microbial steroid metabolism in anaerobic ecosystems is extremely limited. Sulfate, nitrate, and iron [Fe (III)] are common electron acceptors for anaerobes in estuarine sediments. Here, we investigated anaerobic testosterone metabolism in anaerobic sediments collected from the estuary of Tamsui River, Taiwan. The anaerobic sediment samples were spiked with testosterone (1 mM) and individual electron acceptors (10 mM), including nitrate, Fe

Indexed as

androgenbiodegradationestrogenestuaryIllumina MiSeqsedimenttestosteroneThauera

Identifiers

PMID28848528
PMCPMC5554518
OpenAlexW2744249931

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.