Evidence map›Paper›PMID 36364843›Full record

ArticleNutrients2022

FDF-DB: A Database of Traditional Fermented Dairy Foods and Their Associated Microbiota.

Paola Zinno, Francesco Maria Calabrese, Emily Schifano, Paolo Sorino, Raffaella Di Cagno, Marco Gobbetti, Eugenio Parente, Maria De Angelis, Chiara Devirgiliis

Abstract read
In one paragraph

Article in Nutrients, 2022. 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. Article
  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

9 authors.

Paola ZinnoResearch Centre for Food and Nutrition, CREA (Consiglio per la Ricerca in Agricoltura E L'Analisi Dell'Economia Agraria), Via Ardeatina 546, 00178 Rome, Italy.
Francesco Maria CalabreseDepartment of Soil, Plant and Food Science, University of Bari Aldo Moro, Via Giovanni Amendola 165/a, 70126 Bari, Italy.ORCID 0000-0003-0176-7046
Emily SchifanoDepartment of Biology and Biotechnology "C. Darwin", Sapienza University of Rome, Piazzale Aldo Moro 5, 00185 Rome, Italy.
Paolo SorinoDepartment of Electrical and Information Engineering, Polytechnic of Bari, 70125 Bari, Italy.ORCID 0000-0002-9081-2648
Raffaella Di CagnoFaculty of Science and Technology, Free University of Bolzano, 39100 Bolzano, Italy.
Marco GobbettiFaculty of Science and Technology, Free University of Bolzano, 39100 Bolzano, Italy.
Eugenio ParenteScuola di Scienze Agrarie, Alimentari, Forestali ed Ambientali (SAFE), Università degli Studi della Basilicata, 85100 Potenza, Italy.ORCID 0000-0002-5716-2348
Maria De AngelisDepartment of Soil, Plant and Food Science, University of Bari Aldo Moro, Via Giovanni Amendola 165/a, 70126 Bari, Italy.ORCID 0000-0002-2010-884X
Chiara DevirgiliisResearch Centre for Food and Nutrition, CREA (Consiglio per la Ricerca in Agricoltura E L'Analisi Dell'Economia Agraria), Via Ardeatina 546, 00178 Rome, Italy.ORCID 0000-0002-7114-7726

Funding

Ministry of Agricultural, Food and Forestry Policies DM 36954/7303/18
6 · The paper itself

Abstract

backgroundFermented foods are attracting increasing interest due to their nutritional and health benefits, including a positive impact on gut microbiota exerted by their associated microbes. However, information relative to traditional fermented dairy products, along with their autochthonous microbiota, is still fragmented and poorly standardized. Therefore, our aim was to collect and aggregate data useful for obtaining a comprehensive overview translated in a classical database interface that can be easily handled by users.

methodsa preliminary inventory was built up by systematically collecting data from publicly available resources for the creation of a list of traditional dairy foods produced worldwide, including additional metadata useful for stratifying, and collapsing subgroups.

resultswe developed the Fermented Dairy Food Database (FDF-DB), a feasible resource comprising 1852 traditional dairy foods (cheeses, fermented milks, and yogurt) for which microbial content and other associated metadata such as geographical indication label, country/region of origin, technological aspects were gathered.

conclusionsFDF-DB is a useful and user-friendly resource where taxonomic information and processing production details converge. This resource will be of great aid for researchers, food industries, stakeholders and any user interested in the identification of technological and microbiological features characterizing traditional fermented dairy products.

Indexed as

CheeseCultured Milk ProductsFermented FoodsMicrobiotaFermentationYogurtcheesefermented dairy foodfermented milkfood databasemicrobial communitiesyogurt

Identifiers

PMID36364843
PMCPMC9658602

What OpenQuestion holds

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LicenceCC BY
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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.