Effects of alcohol on the composition and metabolism of the intestinal microbiota among people with HIV: a cross-sectional study

Study information

Reviewed Marked as Reviewed by Svetlana up on 2024-5-21

study design

cross-sectional observational, not case-control

Citation

PMID PubMed identifier for scientific articles.

38387693

DOI Digital object identifier for electronic documents.

10.1016/j.alcohol.2024.02.003

URI

Authors

Qiao NN, Fang Q, Zhang XH, Ke SS, Wang ZW, Tang G, Leng RX, Fan YG

Journal

Alcohol (Fayetteville, N.Y.)

Year

2024

Keywords:

Alcohol, Cross-sectional study, HIV/AIDS, Intestinal microbiota, Metabolism

OBJECTIVES: Alcohol consumption is not uncommon among people with HIV (PWH) and may exacerbate HIV-induced intestinal damage, and further lead to dysbiosis and increased intestinal permeability. This study aimed to determine the changes in the faecal microbiota and its association with alcohol consumption in HIV-infected patients. METHODS: A cross-sectional survey was conducted between November 2021 and May 2022, and 93 participants were recruited. To investigate the alterations of alcohol misuse on fecal microbiology in HIV-infected individuals, we performed 16s rDNA gene sequencing on fecal samples from the low to moderate drinking (n=21) and non-drinking (n=72) groups. RESULTS: Comparison between groups using alpha and beta diversity showed that the diversity of stool microbiota in the low to moderate drinkinge group did not differ from that of the non-drinking group (all P>0.05). The Linear discriminant Analysis effect size (LEfSe) algorithm was to determine the bacterial taxa associated with alcohol consumption, and the results showed altered fecal bacterial composition in HIV-infected patients who consumed alcohol, with Coprobacillus, Pseudobutyrivibrio and Peptostreptococcaceae enriched, and Pasteurellaceae and Xanthomonadaceae were depleted. In addition, by using the Kyoto Encyclopedia of Genes and Genomes (KEGG) functional microbiome features were also found to be altered in the low to moderate drinking group, showing a reduction in metabolic pathways (P=0.036) and cardiovascular disease pathway (P=0.006). CONCLUSION: Low to moderate drinking will change the composition, metabolism and cardiovascular disease pathway of the gut microbiota of HIV-infected patients.

Experiment 1

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Reviewed Marked as Reviewed by Svetlana up on 2024-5-21

Curated date: 2024/04/21

Curator: MyleeeA

Revision editor(s): MyleeeA

Subjects

Location of subjects: China

Host species Species from which microbiome was sampled. Contact us to have more species added.: Homo sapiens

Body site Anatomical site where microbial samples were extracted from according to the Uber Anatomy Ontology: Feces Cow dung,Cow pat,Droppings,Dung,Excrement,Excreta,Faeces,Fecal material,Fecal matter,Fewmet,Frass,Guano,Matières fécales@fr,Merde@fr,Ordure,Partie de la merde@fr,Piece of shit,Porción de mierda@es,Portion of dung,Portion of excrement,Portion of faeces,Portion of fecal material,Portion of fecal matter,Portion of feces,Portion of guano,Portion of scat,Portionem cacas,Scat,Spoor,Spraint,Stool,Teil der fäkalien@de,Feces,feces

Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology: Alcohol consumption measurement Alcohol consumption measurement,alcohol consumption measurement

Group 0 name Corresponds to the control (unexposed) group for case-control studies: Non Drinking

Group 1 name Corresponds to the case (exposed) group for case-control studies: Low to Moderate drinking

Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group: HIV infected persons who consume alcohol ≥1 time/month or ≥12 times/year in the last year. Individuals in the low to moderate drinking group consumed <210 g of alcohol per week.

Group 0 sample size Number of subjects in the control (unexposed) group: 72

Group 1 sample size Number of subjects in the case (exposed) group: 21

Antibiotics exclusion Number of days without antibiotics usage (if applicable) and other antibiotics-related criteria used to exclude participants (if any): 3 months

Lab analysis

Sequencing type: 16S

16S variable region One or more hypervariable region(s) of the bacterial 16S gene: V4

Sequencing platform Manufacturer and experimental platform used for quantifying microbial abundance: Illumina

Statistical Analysis

Data transformation Data transformation applied to microbial abundance measurements prior to differential abundance testing (if any).: relative abundances

Statistical test: LEfSe

Significance threshold p-value or FDR threshold used for differential abundance testing (if any): 0.05

MHT correction Have statistical tests be corrected for multiple hypothesis testing (MHT)?: Yes

LDA Score above Threshold for the linear discriminant analysis (LDA) score for studies using the popular LEfSe tool: 2.0

Alpha Diversity

Shannon Estimator of species richness and species evenness: more weight on species richness: unchanged

Chao1 Abundance-based estimator of species richness: unchanged

Signature 1

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Curated date: 2024/04/21

Curator: MyleeeA

Revision editor(s): MyleeeA

Source: Figure 4C

Description: Differentially enriched bacterial taxa between low to moderate drinking and non-drinking groups in HIV-infected patients.

Abundance in Group 1: increased abundance in Low to Moderate drinking

NCBI	Quality Control	Links
Coprobacillus
Pseudobutyrivibrio
Cetobacterium
Clostridiaceae
Clostridium
Romboutsia
Peptostreptococcaceae

Revision editor(s): MyleeeA

Signature 2

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Curated date: 2024/04/21

Curator: MyleeeA

Revision editor(s): MyleeeA

Source: Figure 4C

Description: Differentially enriched bacterial taxa between low to moderate drinking and non-drinking groups in HIV-infected patients.

Abundance in Group 1: decreased abundance in Low to Moderate drinking

NCBI	Quality Control	Links
Lysobacteraceae
Stenotrophomonas
Pasteurellaceae
Pasteurellales
Lysobacterales
Haemophilus
Tessaracoccus

Revision editor(s): MyleeeA