Evidence map›Paper›PMID 38904913›Full record

ArticleJournal of endocrinological investigation2024

Gut microbiota and fecal volatilome profile inspection in metabolically healthy and unhealthy obesity phenotypes.

F M Calabrese, V A Genchi, N Serale, G Celano, M Vacca, G Palma, M Svelto, L Gesualdo, M De Angelis, F Giorgino and 1 more

Abstract read
In one paragraph

Article in Journal of endocrinological investigation, 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

11 authors.

F M Calabrese *Department of Soil, Plant and Food Sciences, University of Bari Aldo Moro, Bari, Italy.
V A Genchi *Section of Internal Medicine, Endocrinology, Andrology and Metabolic Diseases - Department of Precision and Regenerative Medicine and Ionian Area, University of Bari Aldo Moro, Bari, Italy.
N SeraleDepartment of Soil, Plant and Food Sciences, University of Bari Aldo Moro, Bari, Italy.
G CelanoDepartment of Soil, Plant and Food Sciences, University of Bari Aldo Moro, Bari, Italy.
M VaccaDepartment of Soil, Plant and Food Sciences, University of Bari Aldo Moro, Bari, Italy.
G PalmaSection of Internal Medicine, Endocrinology, Andrology and Metabolic Diseases - Department of Precision and Regenerative Medicine and Ionian Area, University of Bari Aldo Moro, Bari, Italy.
M SveltoDepartment of Biosciences, Biotechnologies and Environment, University of Bari Aldo Moro, Bari, Italy.
L GesualdoNephrology, Dialysis and Transplantation Unit- Department of Precision and Regenerative Medicine and Ionian Area, University of Bari Aldo Moro, Bari, Italy.
M De AngelisDepartment of Soil, Plant and Food Sciences, University of Bari Aldo Moro, Bari, Italy. maria.deangelis@uniba.it.ORCID http://orcid.org/0000-0002-2010-884X
F GiorginoSection of Internal Medicine, Endocrinology, Andrology and Metabolic Diseases - Department of Precision and Regenerative Medicine and Ionian Area, University of Bari Aldo Moro, Bari, Italy. francesco.giorgino@uniba.it.
S PerriniSection of Internal Medicine, Endocrinology, Andrology and Metabolic Diseases - Department of Precision and Regenerative Medicine and Ionian Area, University of Bari Aldo Moro, Bari, Italy.

Funding

Ministero dell'Istruzione, dell'Università e della Ricerca ARS0101220
6 · The paper itself

Abstract

backgroundPeople with metabolically healthy (MHO) and metabolically unhealthy obesity (MUO) differ for the presence or absence of cardio-metabolic complications, respectively.

objectiveBased on these differences, we are interested in deepening whether these obesity phenotypes could be linked to changes in microbiota and metabolome profiles. In this respect, the overt role of microbiota taxa composition and relative metabolic profiles is not completely understood. At this aim, biochemical and nutritional parameters, fecal microbiota, metabolome and SCFA compositions were inspected in patients with MHO and MUO under a restrictive diet regimen with a daily intake ranging from 800 to 1200 kcal.

methodsBlood, fecal samples and food questionnaires were collected from healthy controls (HC), and an obese cohort composed of both MHO and MUO patients. Most impacting biochemical/anthropometric variables from an a priori sample stratification were detected by applying a robust statistics approach useful in lowering the background noise. Bacterial taxa and volatile metabolites were assessed by qPCR and gas chromatography coupled with mass spectrometry, respectively. A targeted GC-MS analyses on SCFAs was also performed.

resultsInstructed to follow a controlled and restricted daily calorie intake, MHO and MUO patients showed differences in metabolic, gut microbial and volatilome signatures. Our data revealed higher quantities of specific pro-inflammatory taxa (i.e., Desulfovibrio and Prevotella genera) and lower quantities of Clostridium coccoides group in MUO subset. Higher abundances in alkane, ketone, aldehyde, and indole VOC classes together with a lower amount of butanoic acid marked the faecal MUO metabolome.

conclusionsCompared to MHO, MUO subset symptom picture is featured by specific differences in gut pro-inflammatory taxa and metabolites that could have a role in the progression to metabolically unhealthy status and developing of obesity-related cardiometabolic diseases. The approach is suitable to better explain the crosstalk existing among dysmetabolism-related inflammation, nutrient intake, lifestyle, and gut dysbiosis.

Indexed as

FecesGastrointestinal MicrobiomeObesityPhenotypeAdultCase-Control StudiesFemaleHumansMaleMetabolomeMiddle AgedObesity, Metabolically BenignBariatric surgeryMetabolically healthy obesityMetabolically unhealthy obesityMetabolomicsRestrictive caloric diet

Identifiers

PMID38904913
PMCPMC11549234

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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.