Evidence map›Paper›PMID 38328005›Full record

ArticleComputational and structural biotechnology journal2024

Microbial functional pathways based on metatranscriptomic profiling enable effective saliva-based health assessments for precision wellness.

Eric Patridge, Anmol Gorakshakar, Matthew M Molusky, Oyetunji Ogundijo, Angel Janevski, Cristina Julian, Lan Hu, Momchilo Vuyisich, Guruduth Banavar

Abstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2024. 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.

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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

9 authors.

Eric PatridgeViome Research Institute, Viome Life Sciences Inc., New York City, USA.
Anmol GorakshakarViome Research Institute, Viome Life Sciences Inc., New York City, USA.
Matthew M MoluskyViome Research Institute, Viome Life Sciences Inc., New York City, USA.
Oyetunji OgundijoViome Research Institute, Viome Life Sciences Inc., New York City, USA.
Angel JanevskiViome Research Institute, Viome Life Sciences Inc., New York City, USA.
Cristina JulianViome Research Institute, Viome Life Sciences Inc., New York City, USA.
Lan HuViome Research Institute, Viome Life Sciences Inc., New York City, USA.
Momchilo VuyisichViome Research Institute, Viome Life Sciences Inc., Seattle, USA.
Guruduth BanavarViome Research Institute, Viome Life Sciences Inc., New York City, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is increasingly recognized that an important step towards improving overall health is to accurately measure biomarkers of health from the molecular activities prevalent in the oral cavity. We present a general methodology for computationally quantifying the activity of microbial functional pathways using metatranscriptomic data. We describe their implementation as a collection of eight oral pathway scores using a large salivary sample dataset (n = 9350), and we evaluate score associations with oropharyngeal disease phenotypes within an unseen independent cohort (n = 14,129). Through this validation, we show that the relevant oral pathway scores are significantly worse in individuals with periodontal disease, acid reflux, and nicotine addiction, compared with controls. Given these associations, we make the case to use these oral pathway scores to provide molecular health insights from simple, non-invasive saliva samples, and as molecular endpoints for actionable interventions to address the associated conditions.

Indexed as

Functional pathwaysMetatranscriptomicsOral microbiomeOropharyngeal diseasePrecision wellnessSaliva

Identifiers

PMID38328005
PMCPMC10847690

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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.