| Literature DB >> 35652564 |
Lisanne M M Gommers1, Joost G J Hoenderop1, Jeroen H F de Baaij1.
Abstract
Proton pump inhibitors (PPIs) reliably suppress gastric acid secretion and are therefore the first-line treatment for gastric acid-related disorders. Hypomagnesemia (serum magnesium [Mg2+ ] <0.7 mmol/L) is a commonly reported side effect of PPIs. Clinical reports demonstrate that urinary Mg2+ excretion is low in PPI users with hypomagnesemia, suggesting a compensatory mechanism by the kidney for malabsorption of Mg2+ in the intestines. However, the exact mechanism by which PPIs cause impaired Mg2+ absorption is still unknown. In this review, we show that current experimental evidence points toward reduced Mg2+ solubility in the intestinal lumen. Moreover, the absorption pathways in both the small intestine and the colon may be reduced by changes in the expression and activity of key transporter proteins. Additionally, the gut microbiome may contribute to the development of PPI-induced hypomagnesemia, as PPI use affects the composition of the gut microbiome. In this review, we argue that the increase of the luminal pH during PPI treatment may contribute to several of these mechanisms. Considering the fact that bacterial fermentation of dietary fibers results in luminal acidification, we propose that targeting the gut microbiome using dietary intervention might be a promising treatment strategy to restore hypomagnesemia in PPI users.Entities:
Keywords: PPI; gut microbiome; magnesium; omeprazole; proton pump inhibitor
Mesh:
Substances:
Year: 2022 PMID: 35652564 PMCID: PMC9539870 DOI: 10.1111/apha.13846
Source DB: PubMed Journal: Acta Physiol (Oxf) ISSN: 1748-1708 Impact factor: 7.523
The association between PPI use and the development of hypomagnesemia
| Author | Study design | Population | Cut‐off value hypomagnesemia (mmol/L) | No. of PPI users | No. of non‐users | Cases of PPI‐induced hypomagnesemia (%) | Risk assessment | Adjustment variables |
|---|---|---|---|---|---|---|---|---|
|
Danziger et al. 2013 | Cross‐sectional | Inpatients | <0.80 | 2632 | 8858 | 405 (15.3%) | OR: 1.10 (0.96–1.25) | Age, sex, ethnicity, comorbidities, diuretics, renal function, systolic blood pressure, heart rate, temperature, serum calcium, serum phosphorus, serum glucose, hematocrit |
|
Douwes et al. 2019 | Cross‐sectional | Inpatients | <0.70 | 389 | 300 | 102 (26.0%) | OR: 2.00 (1.21–3.31) | Age, sex, BMI, eGFR, proteinuria, time since kidney transplantation, alcohol, diabetes mellitus, cardiovascular disease, diuretics, tacrolimus, cyclosporine, immunosuppressants, dietary magnesium intake |
| Gau et al. | Cross‐sectional | Inpatients | <0.70 | 207 | 280 | 48 (2.3%) | OR: 2.50 (1.43–4.36) | Age, sex, diabetes mellitus, heart failure, diuretics, magnesium, and potassium supplementation, acute GI illness, serum albumin, serum potassium, serum creatinine |
| Kieboom et al. | Cross‐sectional | Outpatients | <0.80 | 724 | 9094 | 36 (5.0%) | OR: 2.00 (1.36–2.93) | Age, sex, BMI, eGFR, diabetes mellitus, stroke, coronary heart disease, hypertension, alcohol use, diuretics |
|
Kim et al. 2015 | Case–control | Inpatients | <0.70 | 105 | 210 | 32 (35.8%) | OR: 5.39 (1.06–27.49) | Age, sex, comorbidities, drugs, electrolyte levels (sodium, potassium, calcium, urea, creatinine, albumin) |
|
Lindner et al . 2014 | Cross‐sectional | Inpatients | <0.75 | 423 | 4695 | 155 (3.6%) | OR: 2.10 (1.54–2.85) | CCL score, eGFR |
|
Markovits et al. 2014 | Cross‐sectional | Outpatients | <0.70 | 22 458 | 69 714 | 2532 (11.0%) | OR: 1.66 (1.55–1.78) | Age, sex, diabetes mellitus, hypertension, heart failure, eGFR, diuretics, immunosuppressants, lithium, dioxin, recent hospitalization |
|
Pasina et al. 2015 | Cross‐sectional | Inpatients | <0.80 | 299 | 305 | 63 (21.0%) | OR: 4.31 (2.49–7.86) | Age, sex, diabetes mellitus, chronic diarrhea, malabsorption, alcohol |
|
Sutton et al. 2019 | Cross‐sectional | Inpatients | <0.80 | 329 | 5718 | 31 (9.0%) | HR: 3.16 (2.56–3.90) | Age, sex, ethnicity, CCL score, alcohol, viral suppression, index year |
Abbreviations: BMI, body mass index; CCL score, Charlson Comorbidity Index score; CI, confidence interval; eGFR, estimated glomerular filtration rate; GI, gastrointestinal; HR, hazard ratio; OR, odds ratio.
Articles were obtained after PubMed search using the following search terms in April 2020: “proton pump inhibitor” OR “omeprazole” OR “esomeprazole” OR “lansoprazole” OR “dexlansoprazole” OR “pantoprazole” OR “rabeprazole” AND “hypomagnesemia”. Articles were only included if the study reported on the type of PPI, specified the cut‐off value for hypomagnesemia, patient population, number of PPI users, data on serum Mg2+ status, confounding factors, and included a risk assessment on PPI use and hypomagnesemia.
Risk assessment describes the risk to develop hypomagnesemia during PPI therapy.
FIGURE 1Intestinal Mg2+ absorption pathways Mg2+ absorption is mediated by two separate absorption pathways. In the small intestine, Mg2+ absorption is mainly of paracellular nature through tight junction complexes between adjacent epithelial cells. Here, CLDN2, −7, and − 12 enhance paracellular permeability. In the large intestine, Mg2+ is absorbed via active, transcellular transport facilitated by TRPM6/7 channels. Extrusion of Mg2+ to the blood compartment is mediated by CNNM4 on the basolateral side of the colonocytes.
FIGURE 2Hypothesis of the effects of PPIs on the Mg2+ solubility in the gastrointestinal tract. Schematic representation in which PPIs increase the luminal pH of the gastrointestinal (GI) tract and thereby affect Mg2+ solubility. At higher luminal pH, Mg2+ binds negatively charged molecules, such as Cl− and PO4 3−, resulting in reduced Mg2+ availability for absorption.
FIGURE 3PPIs impair Mg2+ absorption in the small intestine During PPI therapy, the luminal pH of the small intestine increases. Consequently, Mg2+ solubility and absorption are reduced. Moreover, PPIs lower the expression of CLDN7, −12 and increase the transepithelial electrical resistance (TEER). Consequently, Mg2+ absorption in the small intestine is decreased.
FIGURE 4PPIs affect Mg2+ absorption in the colon. PPIs affect the composition and diversity of the gut microbiome. Additionally, PPIs inhibit the colonic H+, K+‐ATPases (cHK, ATP12A) making the pH of the colon less acidic. These factors might reduce the activity of TRPM6 channels.
PPI use is associated with changes in the gut microbiome
| Author | Study design (population) | PPI users vs non‐users | Duration of PPI treatment | Sample | Sequencing technique | Changes at the taxonomic level | Changes in diversity | |
|---|---|---|---|---|---|---|---|---|
| Alpha (metric) | Beta (metric) | |||||||
|
Clooney et al. 2016 | Cross‐sectional cohort study from population‐based database (Canada) | 32 vs. 29 | >5 years | Feces | 16S |
↑ f_Lachnospiraceae ↑ f_Streptococcaceae | No difference (Shannon index) (Chao1 richness) | Significant shift (Bray‐Curtis) (UniFrac PCA) |
|
Freedberg et al. 2015 | Prospective open‐label trial (healthy adults) | 12 | 4–8 weeks | Feces | 16S |
↑ f_Streptococcaceae ↑ f_Enterococcaceae | No difference (Shannon index) | No difference (weighted UniFrac PCA) |
|
Imhann et al. 2016 | Cross‐sectional cohort study from population‐based cohorts (Lifelines‐DEEP, IBN UMCG, IBS MUMC) | 211 vs. 1604 | Not reported | Feces | 16S |
↑ f_Lactobacillaceae ↑ f_Enterococcaceae ↑ f_Streptococcaceae ↑ f_Micrococcaceae ↓ f_Bifidobacteriacaea | Decreased (Shannon index) (Chao1 richness ) | Significant shift (PCoA) |
|
Jackson et al. 2016 | Cross‐sectional cohort study (healthy twins: TwinsUK) | 229 vs. 1598 | >3 years | Feces | 16S |
↑ f_Streptococcaceae ↑ f_Lactobacillaceae ↑ f_Micrococcaceae ↓ f_Ruminococcaceae | Decreased (Shannon index) (OTU counts) (Chao1 richness) | Not determined |
|
Mishiro et al. 2018 | Prospective open label trial (healthy adults) | 10 | 4 weeks | Feces | 16S | ↑ g_ | No difference (Shannon index) (Chao1 richness) | No difference (Bray‐Curtis) (unweighted UniFrac) |
|
Otsuka et al. 2017 | Prospective open label trial (healthy adults) | 11 | 4 weeks | Feces | 16S |
↑ g_ ↑ g_ | No difference (Shannon index) (Chao1 richness) | Significant shift (UniFrac PCA) |
|
Reveles et al. 2018 | Prospective open‐label trial (healthy elderly adults) | 24 | 2 weeks | Feces | 16S |
↑ f_Streptococcaceae ↓ f_Lachnospiraceae ↓ f_Bifidobacteriacaea | No difference (Shannon index) | Significant shift (Bray‐Curtis) |
|
Seto et al. 2014 | Prospective open‐label trial (healthy adults) | 9 | 4 weeks | Feces | 16S | No differences | Decreased (OTU counts) (Chao1 richness) | No difference (unweighted UniFrac) |
|
Takagi et al. 2018 | Cross‐sectional cohort study (outpatients) | 36 vs. 36 | >1 year | Feces | 16S |
↑ g_ ↑ g_ ↓ g_ | No difference (Shannon index) (Chao1 richness) | Significant shift (UniFrac PCA) |
|
Tsuda et al. 2015 | Cross‐sectional cohort study (outpatients) | 18 vs. 27 | >2 year | Feces | 16S |
↑ g_ ↓ g_ | No difference (Shannon index) | Significant shift (UniFrac PCA) |
Abbreviations: 16S, 16S rRNA sequencing; OTU, operational taxonomic unit; PCA, principal component analysis; PCoA, principal coordinates analysis; UniFrac, unique fraction.
Articles were obtained after PubMed search using the following search terms in April 2020: “proton pump inhibitor” AND “microbiome” OR “microbiota”.
Taxonomic composition was described as k_, kingdom; p_, phylum; c_, class; o_, order; f_, family; g_, genus; s_, species. ↑↓ describe the direction of change.