Evidence map›Paper›PMID 42496934›Full record

ArticleBiochemical genetics2026

Shilajit as a Natural Product from Sedimentary Rocks: Biological Origin and Antioxidant Properties.

Asiye Ulug, Kezban Yildiz Dalginli, Funda Ozdemir Degirmenci, Melek Ozturkler Dundar, Onur Atakisi

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Article in Biochemical genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Asiye Ulug *Department of Biology, Faculty of Science and Literature, Kafkas University, Kars, 36000, Türkiye. asya.ulug@kafkas.edu.tr.ORCID http://orcid.org/0000-0001-5524-8431
Kezban Yildiz Dalginli *Department of Chemistry and Chemical Processing Technologies, Biochemistry Program Kars Vocational School, Kars, Türkiye.ORCID http://orcid.org/0000-0002-1483-348X
Funda Ozdemir DegirmenciDepartment of Crop Science, Faculty of Agriculture, Ahi Evran University, Kırşehir, Türkiye.ORCID http://orcid.org/0000-0002-8875-0273
Melek Ozturkler DundarDepartment of Chemistry and Chemical Processing Technologies, Biochemistry Program Kars Vocational School, Kars, Türkiye.ORCID http://orcid.org/0000-0002-2917-6371
Onur AtakisiDepartment of Chemistry, Faculty of Science and Literature, Kafkas University, Kars, Türkiye.ORCID http://orcid.org/0000-0003-1183-6076

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Shilajit, a natural product with a documented history of use in traditional medicine for millennia, poses considerable challenges in elucidating its biological origin and pharmacological properties. In this study, a multidisciplinary approach integrating DNA metabarcoding and biochemical profiling was employed to investigate processed shilajit samples from the Pamir-Alai Mountains. Environmental DNA analysis identified 50 plant taxa across taxonomic levels ranging from order to species, indicating substantial botanical contributions to shilajit's composition. Among the identified taxa, Apiaceae and Asteraceae were the most represented families, while Vincetoxicum rossicum, Populus alba, and Quercus suber were the dominant species detected through metabarcoding analysis. Complementary biochemical analyses demonstrated notable antioxidant capacity and the presence of diverse bioactive compounds. Furthermore, oxidative stress-related biomarkers (NO, MDA, and GSH) were evaluated in the brain tissue of healthy rats following shilajit administration. No statistically significant differences were observed between the control and shilajit treated groups, suggesting that shilajit maintains physiological oxidative balance in healthy brain tissue. These findings provide important baseline biochemical data and support future investigations of shilajit's biological effects in validated oxidative stress and neurological disease models.

Indexed as

AntioxidantBiochemicalDNA metabarcodingNatural productShilajitTraditional medicine

Identifiers

PMID42496934

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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.