| Literature DB >> 35127738 |
Hui-Qing Chen1, Jin-Yu Gong1, Kai Xing1, Mou-Ze Liu1,2, Huan Ren3, Jian-Quan Luo1,2.
Abstract
Hypertension is a leading risk factor for cardiovascular diseases and can reduce life expectancy. Owing to the widespread use of antihypertensive drugs, patients with hypertension have improved blood pressure control over the past few decades. However, for a considerable part of the population, these drugs still cannot significantly improve their symptoms. In order to explore the reasons behind, pharmacomicrobiomics provide unique insights into the drug treatment of hypertension by investigating the effect of bidirectional interaction between gut microbiota and antihypertensive drugs. This review discusses the relationship between antihypertensive drugs and the gut microbiome, including changes in drug pharmacokinetics and gut microbiota composition. In addition, we highlight how our current knowledge of antihypertensive drug-microbiota interactions to develop gut microbiota-based personalized ways for disease management, including antihypertensive response biomarker, microbial-targeted therapies, probiotics therapy. Ultimately, a better understanding of the impact of pharmacomicrobiomics in the treatment of hypertension will provide important information for guiding rational clinical use and individualized use.Entities:
Keywords: antihypertensive drugs; gut microbiota; interaction; pharmacomicrobiomics; precision medicine
Year: 2022 PMID: 35127738 PMCID: PMC8808336 DOI: 10.3389/fmed.2021.742394
Source DB: PubMed Journal: Front Med (Lausanne) ISSN: 2296-858X
Figure 1Interactions between drugs and gut microbiome (GM). In the intestinal tract, there are complex interactions between drugs and microorganisms. On the one hand, drugs can result in alterations in the composition and function of gut microbiome. On the other hand, gut microbiome may alter chemical structure of drugs, and directly or indirectly affect drug efficacy. TMAO, trimethylamine N-oxide; SCFA, short-chain fatty acids. Arrow mark indicates Drugs, GM metabolites and drug ingredients after GM transformation are transferred outside the gut.
Drug-microbiome interactions of antihypertensive drugs.
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| Amlodipine | GM affects drug | SD rats | ↓ AUC | N/A | ( |
| Diltiazem | GM affects drug | Sterile mice | ↓ F | N/A | ( |
| Losartan | Drug affects GM | SHR, WKY | N/A | ↑ Akkermansia | ( |
| Captopril | Drug affects GM | SHR, WKY | N/A | ↑ Tenericutes | ( |
| Captopril | Drug affects GM | SHR, WKY | N/A | ↑ Dehalobacterium | ( |
| Benazepril | Drug affects GM | SHR, WKY | N/A | ↓ Aggregatibacter | ( |
| Enalapril | Drug affects GM | Wistar rats | N/A | ↓ Collinsella | ( |
| Metoprolol | Drug affects GM | Hypertensive patients | N/A | Metabolites (GM): | ( |
| Nifedipine | GM interacts with drug | Wistar rats | ↓ AUC ↓ | ↓ Enterobacteriaceae | ( |
GM, gut microbiota; PK, pharmacokinetics; SD rats, sprague dawley rats; SHR, spontaneously hypertensive rats; WKY, wistar kyoto rats; N/A, not available; AUC, area under the concentration–time curve; M1, amlodipine metabolite; T.
Figure 2The influence of gut microbiome on the metabolism of antihypertensive drugs. (A) Oxidation of amlodipine. Amlodipine is converted into dehydroamlodipine through the oxidation reaction of gut microbiome. (B) Oxidation of nifedipine. Biotransformation of nifedipine produces dehydronifedipine through gut microbiome. (C) Deacetylation of diltiazem. Diltiazem is converted into desacetyldiltiazem through the action of gut microbiome. (D) Deglucuronidation of losartan. Losartan is converted into losartan N2-glucuronide through the action of gut microbiome. (E) De-esterification of enalapril. Enalapril is converted into enalaprilat through the de-esterification reaction of gut microbiome.
The effect of probiotics in the regulation of blood pressure.
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| Lactobacillus. helveticus; Saccharomyces. cerevisiae | 30 hypertensive patients | 40–86 | 7.0 ×1011; | 8 | Fermented milk | Randomized, | SBP: 158.5 (↓ 14.1) | SBP: 150.9 (↓ 4.4) | ( |
| Lactobacillus. plantarum 299v | 36 healthy volunteers | 35–45 | 5 ×107 | 6 | Rose-hip drink | Randomized, | SBP: 134 (↓ 13) | SBP: 128 (↓ 2) | ( |
| Lactobacillus. plantarum TENSIA | 40 hypertensive patients | 30–69 | 1.5 ×1011 | 3 | Probiotic cheese | Randomized, | SBP: 134 (↓ 12.2) | SBP: 131.4 (↓ 11.4) | ( |
| Bifidobacterium.lactis; | 38 healthy men | 18–54 | 1 ×109 | 4 | Yogurt | Randomized, | SBP: 104.6 (↓ 2.5) DBP: 70.2 (↓ 0.9) | SBP: 103.8 (↓ 0.8) | ( |
| Enterococcus. faecium; | 30 healthy volunteers | 18–55 | 4.7 ×1011 | 8 | Yogurt | Randomized, | SBP: 131.9 (↓ 8) | SBP: 116.5 (↓ 2.2) | ( |
| Streptococcus. thermophilus; | 101 healthy volunteers | 20–60 | 4.8 ×1012 | 8 | Yogurt | Randomized, | SBP:110.2 (↓ 1.07) | SBP: 110.9 (↑ 0.91) | ( |
| Lactobacillus sporogenes | 54 diabetic patients | 35–70 | 1 ×108 | 8 | Bread | Randomized, | SBP: 143.9 (↓ 6.4) | SBP: 145.0 (↓ 5.7) | ( |
SBP, systolic blood pressure; DBP, diastolic blood pressure.