Arsenic

Arsenic is a metalloid and potent carcinogen (IARC Group 1) that ranks among the most widespread environmental toxicants affecting human health. An estimated 225 million people worldwide are chronically exposed through contaminated drinking water alone [1]. Unlike many heavy metals whose toxicity is primarily direct, arsenic's health effects are increasingly understood to be mediated through a bidirectional relationship with the gut microbiome: the microbiome transforms arsenic into species of varying toxicity, while arsenic reshapes microbial communities in ways that compound its harm [2], [3].

What sets arsenic apart from other toxic metals is a methylation paradox — the same metabolic pathway that facilitates excretion also generates intermediates (particularly MMA(III)) that are more reactive and potentially more carcinogenic than the parent inorganic compound [4], [5]. This paradox plays out both in host tissues and within the gut microbiome, where microbial arsenic methyltransferases (arsM) produce these same dangerous intermediates [2].

—-

Overview

Arsenic exists in two primary inorganic oxidation states: trivalent arsenite (As(III)) and pentavalent arsenate (As(V)). As(III) is the more toxic form due to greater chemical reactivity and easier cellular entry [6]. Organic arsenic species (arsenobetaine, arsenosugars) found primarily in seafood are considered relatively non-toxic [7].

The metabolic pathway follows: inorganic As —> MMA (monomethylarsonic acid) —> DMA (dimethylarsinic acid), with methylation consuming S-adenosylmethionine (SAM) as the methyl donor [4]. This SAM depletion reduces the availability of methyl groups for DNA and histone methylation, creating a direct link between arsenic metabolism and epigenetic disruption [4].

Arsenic shares toxicity pathways with lead, cadmium, chromium, and mercury — all five metals converge on ROS generation, antioxidant defense weakening, enzyme inactivation, and oxidative stress [8]. However, arsenic has distinctive mechanisms: it inhibits pyruvate dehydrogenase (blocking the TCA cycle by binding vicinal dithiols), and arsenate mimics phosphate to uncouple substrate-level phosphorylation (arsenolysis) [5].

—-

Biological Roles

Arsenic has no known essential biological function in humans. Its toxicity operates through several convergent mechanisms:

Glutathione Depletion

Arsenite binds directly to thiol groups on glutathione (As-SG conjugation) and inhibits glutathione reductase, collapsing the GSH/GSSG ratio [5]. This is one of the earliest events in arsenic toxicity and explains why individuals with genetically lower GSH synthetic capacity are more susceptible [5]. GSH depletion is a mechanism shared across nearly every toxic heavy metal, but arsenic's direct thiol-binding affinity makes it particularly potent [8].

Epigenetic Disruption

Arsenic produces both hypo- and hypermethylation of DNA depending on dose, duration, and tissue [4]. The mechanism is SAM depletion: because arsenic methylation consumes SAM, less is available for normal DNA and histone methylation. Low dietary methionine or folate exacerbates these effects [4]. Arsenic also suppresses GLUT4 expression and upregulates IL-6, linking exposure to insulin resistance and obesity [6].

Carcinogenesis

Arsenic's carcinogenic mechanisms center on increased cellular proliferation and epigenetic disruption rather than direct DNA damage — distinguishing it from genotoxic metals like chromium [4]. Key pathways include:

  • Signal transduction activation: EGFR and ERK activation; Cyclin D1 upregulation even at low doses [4]
  • p53 disruption: low concentrations downregulate p21 via p53 interference [4]
  • NF-kB activation: low-dose arsenic activates NF-kB (unlike high doses which inhibit it), driving tumor promotion [4]
  • DNA repair inhibition: arsenic inhibits nucleotide excision repair (NER) and base excision repair (BER), making it a potent cocarcinogen with UV radiation [4]. DNA adduct 8-OHdG is elevated in exposed populations [8]
  • Proinflammatory signaling: TNF-alpha, IL-6, IL-8, IL-12 are elevated while IL-10 is decreased in arsenic-exposed populations [8]

IARC classifies inorganic arsenic compounds as Group 1 carcinogens, with established links to cancers of the skin, lung, bladder, kidney, and liver [6], [4]. Arsenic is additionally elevated in thyroid cancer tissue alongside Cd, Cr, Cu, Pb, and Se [9].

FeatureArsenicnickelchromium
Direct DNA damageNoNoYes
Epigenetic effectsStrongStrongModerate
Proliferative signalingPrimary mechanismNot centralNot central
Repair inhibitionNER, BERNERMMR
Key metabolic featureSAM depletionFe(II) mimicryAscorbate-driven reduction

Organ Toxicity

Arsenic targets multiple organ systems [5], [8]:

  • Skin: chronic arsenicosis — hyperpigmentation, keratoses, Bowen's disease, squamous cell carcinoma
  • Lung: cancer from inhalation exposure; arsenic inhibits DNA repair in bronchial epithelium
  • Liver: hepatic angiosarcoma, cirrhosis, non-cirrhotic portal hypertension
  • Kidney: proximal tubular damage; arsenic accumulates in renal cortex
  • Bladder: transitional cell carcinoma — one of the strongest epidemiological associations for any environmental carcinogen
  • Nervous system: sensorimotor neuropathy; arsenic activates p38 and JNK3 MAP kinases inducing neuronal apoptosis [8]

—-

Dietary and Environmental Sources

Drinking Water

Drinking water contamination is the primary exposure route globally. Bangladesh and West Bengal (India) represent the largest affected populations, while Chilean northern regions provide some of the clearest epidemiological exposure-cancer data [4]. Surface water use is independently associated with chronic kidney disease of unknown cause (CKDu) (OR 3.178, p=0.045) [10]. In Sri Lanka's CKDu-endemic regions, household well water contains variable levels of heavy metals including arsenic alongside cyanotoxin-producing Microcystis, suggesting multiple interacting environmental exposures drive kidney damage [11].

Rice and Grain Products

Rice rivals drinking water as a source of inorganic arsenic exposure in U.S. and Asian populations [6]. Brown rice contains approximately 80% more inorganic arsenic than white rice because the metalloid concentrates in the bran and germ layers removed during refining — FDA averages: white rice 92 ppb, brown rice 154 ppb [6]. This creates a counterintuitive risk: the "healthier" whole grain carries the greater metal burden.

Arsenic speciation analysis of commercial rice confirms that AsIII dominates, followed by DMA then AsV — meaning the most bioactive and toxic species is the predominant form in rice [12]. All 30 rice samples tested in one Malaysian study exceeded the target hazard quotient (THQ > 1) and the 10^-3 lifetime cancer risk threshold [12]. Rice grown in Southern U.S. states (>47% of the U.S. market) has the highest arsenic content compared to California or Asian imports [6].

Arsenic contamination in paddy soils is itself a driver of antibiotic resistance gene (ARG) proliferation: in heavily polluted Chinese paddy soils, arsenic was the predominant factor shaping ARG distribution, exerting a stronger effect than cadmium, with 119 unique ARGs detected [13]. This means arsenic-contaminated rice production environments are simultaneously generating antibiotic-resistant microbes that can enter the food chain.

Infant Foods

Infants face disproportionate exposure due to low body weight. Arsenic is detectable in all infant formulas tested, with total As ranging from 2.2 to 12.6 ng/g; non-dairy formulas contain significantly more than dairy-based formulas [7]. Arsenic in formula is almost exclusively inorganic — the more toxic form [7]. A 3.5-month-old consuming standard daily formula volumes could be exposed to 0.036-0.21 ug As/kg/day, with the upper range exceeding the adult safe drinking water limit [7].

Weaning to solid foods triggers a dramatic increase in arsenic exposure: paired urine samples from 15 New Hampshire Birth Cohort infants showed a 3.8-fold increase in urinary arsenic species between 4 and 6 months of age, with rice cereal consumption showing the strongest correlation (rho=0.90, p=0.03 for inorganic As) [14]. Breastfeeding is inversely associated with urinary arsenic species (rho=-0.71, p=0.003) [14].

—-

Microbiome Interactions

The relationship between arsenic and the gut microbiome is bidirectional: arsenic reshapes microbial communities while the microbiome determines arsenic's fate, mobility, and toxicity in the body [2], [3]. This section covers what is arguably the most important aspect of arsenic biology missing from conventional toxicology — and entirely absent from Wikipedia.

Microbial Arsenic Biotransformation

The GIT microbiome possesses a sophisticated arsenal of arsenic-transforming genes [2]:

  • Resistance/extrusion (ars operon: arsR, arsB/acr3, arsC, arsA, arsD, arsH, arsJ, arsK, arsN): the most common microbial response, pumping arsenic out of bacterial cells. This is neutral with respect to host toxicity — it protects the bacterium without helping the host.
  • Methylation (arsM): microbial arsenic methyltransferases can produce more toxic trivalent methylated species (MAs(III), DMAs(III), TMAs(III)), potentially worsening host exposure [2]. This mirrors the host methylation paradox at the microbial level.
  • Oxidation (aioAB/arxAB): arsenite oxidases convert toxic As(III) to less toxic As(V). Notably, arxAB can function under the anaerobic conditions prevalent in the large intestine [2].
  • Dissimilatory reduction (arrAB): certain bacteria use As(V) as a terminal electron acceptor under anaerobic conditions. A Citrobacter sp. from termite hindgut displays As(V)-dependent growth [2].
  • Thiolation: sulfate-reducing bacteria including desulfovibrio produce thiolated arsenicals (thioarsenates, methylthioarsenates) detected in mammalian urine, blood, and saliva — an under-explored transformation pathway [2].

Each compartment of the GIT offers different conditions for these transformations: the oral cavity (aerobic, pH 6.2-7.6), stomach (microaerobic, pH 1.5-3.5), small intestine (microaerobic to anaerobic, pH 6-7.4), and large intestine (anaerobic, pH 5.7-6.7) each host distinct microbial communities with different arsenic-transforming capacities [2].

The Microbiome as Shield: Faecalibacterium and Arsenic Protection

A landmark study in Nature Communications demonstrated that the gut microbiome is required for full protection against acute arsenic toxicity [15]. Key findings:

  • Antibiotic-treated and germ-free mice excrete less arsenic in stool and accumulate more in organs (liver, spleen, heart, lung) compared to controls (p<0.0001 at 25 ppm iAs(V)) [15]
  • Mice lacking the arsenic detoxification enzyme As3mt are hypersensitive to arsenic when germ-free, with significantly lower survival (p<0.0001) [15]
  • Human fecal microbiota transplants protect germ-free As3mt-KO mice from arsenic-induced mortality (p<0.0014), but protection varies between donors [15]
  • Higher microbiome alpha diversity (Shannon and inverse Simpson indices) correlates significantly with longer survival under arsenic exposure [15]
  • faecalibacterium prausnitzii was identified as specifically protective: E. coli + F. prausnitzii bi-colonization significantly increased survival compared to E. coli alone (p=0.0035) [15]

This finding reframes arsenic toxicity: inter-individual variation in arsenicosis symptoms among people sharing similar exposures may be partly explained by differences in gut microbiome composition [2]. The microbiome acts as a protective buffer, facilitating fecal arsenic excretion and reducing organ accumulation [15].

Arsenic-Induced Dysbiosis

Arsenic exposure consistently disrupts gut microbial community structure across multiple model systems:

  • Mouse models: 4 weeks of 10 ppm arsenic alters beta-diversity with sex-dependent changes; increases Erysipelotrichaceae and decreases Clostridiaceae; perturbs bile acid, fatty acid, and amino acid metabolism [16], [3]. Arsenic-induced changes are both sex-dependent and genotype-dependent (wild-type vs. IL10-/- mice show different patterns) [16].
  • Rat models: 5-day oral gavage of sodium arsenite produces significant dose-dependent effects on microbiota composition (PERMANOVA), with 17 genera significantly affected and reduced Shannon diversity. Iron complex transport system genes are significantly overrepresented after arsenic treatment, suggesting a shared iron-importing response among surviving microbes [17].
  • Zebrafish: even at 10 ppb (the WHO drinking water limit), arsenic significantly alters microbial composition in developing larvae. At 100 ppb, class 1 integron (int1) abundance increases 9-fold, indicating arsenic promotes horizontal transfer of antimicrobial resistance genes. Arsenic exposure explained 54.7% of variance in overall bacterial composition [18].
  • Systematic review (n=3000+): across all studies reviewed, arsenic consistently disrupts gut microbiota. Collinsella is enriched as a pathobiont across multiple metal exposures, while desulfovibrio is enriched and may contribute to hydrogen sulfide production and further barrier damage [19].
  • Human infant studies: in 204 U.S. infants, arsenic levels were associated with 15 genera including Bacteroidetes and Bifidobacterium [20].

The metabolic consequences are profound: arsenic exposure increases Bacteroidetes and Bilophila, perturbs bile acid homeostasis and amino acid metabolism [21], and affects bile acid molecular families and butyrate-producing bacteria [22]. In mice receiving environmentally relevant arsenic (50 ppm), the metabolome was significantly perturbed (5.1% of variance, p=0.046), with bile acid-related molecular families particularly affected [22].

Gut Barrier Disruption

Arsenic directly disrupts the intestinal epithelial barrier. Chronic exposure disrupts colonic epithelial structure, increases paracellular transport, and induces proinflammatory cytokines (IL-6, IL-8, TNF-alpha) [1]. Approximately 60% of ingested heavy metals are absorbed in the intestine, causing oxidative stress and intestinal barrier damage [23]. Arsenic exposure increases pathogenic bacteria and decreases Firmicutes, compounding barrier damage through loss of SCFA-producing commensals [23].

Notably, Urolithin A (UroA), a gut microbial metabolite of polyphenols, has been shown to protect colon epithelial cells against arsenic-induced oxidative stress and barrier dysfunction [1] — another illustration of how microbial metabolic capacity modulates arsenic's impact.

Prenatal Microbiome Programming

Arsenic exposure during pregnancy programs the offspring gut microbiome with persistent effects:

  • In utero exposure in mice significantly altered offspring gut microbial community composition, with a significant decrease in Firmicutes and dose-dependent effects at both low (0.04 mg/kg) and high (0.4 mg/kg) doses [24]. Even the lower dose — approximating environmental exposure levels in arsenic-endemic regions — produced measurable changes, suggesting no safe threshold for prenatal effects [24].
  • Functional analysis (PICRUSt) revealed shifts in genes involved in insulin signaling and NAFLD pathways, suggesting arsenic-induced microbiome changes have metabolic consequences relevant to later-life disease [24].
  • In zebrafish, prenatal arsenic exposure alters the developing gut microbiome [18].
  • A prospective cohort of 146 mother-infant pairs found that high levels of arsenic exposure may induce enrichment of antibiotic resistance genes (ARGs) in infant gut [25].

This prenatal programming model means arsenic's microbiome effects begin before birth, potentially establishing a dysbiotic trajectory that predisposes to metabolic, inflammatory, and potentially neurological disease.

Co-selection of Antibiotic Resistance

Arsenic drives proliferation of antibiotic resistance through co-selection — three molecular mechanisms by which metal exposure selects for antibiotic-resistant organisms [26]:

  1. Co-resistance: arsenic resistance genes (arsC, arsB) and antibiotic resistance genes physically linked on the same mobile genetic element
  2. Cross-resistance: shared efflux pumps that expel both arsenic and antibiotics (arsenic is listed among metals conferring resistance via reduced membrane permeability) [26]
  3. Co-regulatory mechanisms: exposure to arsenic transcriptionally activates resistance to unrelated toxicants

In CKD patients, lead and arsenic resistance were the most prevalent metal resistance phenotypes among culturable gut bacteria, with co-resistance to antibiotics detected in the same isolates — meaning arsenic exposure may inadvertently select for antibiotic-resistant organisms in the gut [27]. The arsC (arsenic reduction) gene was detected across isolates from CKD patients [27].

Unlike antibiotics, metals are not subject to degradation and represent a long-term selection pressure that persists indefinitely in the environment [26]. This makes arsenic-contaminated environments — including agricultural soils and the human gut — reservoirs of antibiotic resistance.

—-

Nutritional Immunity

The relationship between arsenic and host nutritional immunity is less well-characterized than for redox-active metals like iron or zinc, but several patterns emerge:

  • Heavy metals, including arsenic, accumulated significantly more in germ-free mice organs compared to conventional mice, demonstrating that the microbiota plays a direct role in metal clearance from the body [1].
  • The gut microbiota acts as the first line of defense against arsenic through bioaccumulation, binding, and enzymatic transformation facilitating fecal excretion [3]. Specific mechanisms include siderophore production, sulfide production by sulfate-reducing bacteria, and oxalate production [3].
  • Arsenic treatment in rats triggers significant overrepresentation of iron complex transport system genes (ATP-binding protein, permease, substrate-binding protein), suggesting that surviving microbes upregulate iron acquisition in response to arsenic stress [17]. Bacteria with higher numbers of iron-importing gene orthologs are overly represented under arsenic exposure [17].
  • iron deficiency increases arsenic (and lead and cadmium) absorption through shared intestinal transporters (DMT1/NRAMP2) [5], meaning nutritional status directly modulates arsenic uptake.

—-

Conditions Associated

Cancer

Chronic arsenic exposure is linked to cancers of the skin, lung, bladder, kidney, liver, pancreas, prostate, and digestive tract [6], [4], [5]. The FDA expert panel estimated cancer cases would increase 148.6% if rice consumption rose from <1 serving/day to precisely 1 serving/day [6]. Arsenic is elevated alongside other metals in thyroid cancer tissue [9].

Chronic Kidney Disease

Blood arsenic is independently associated with CKDu (chronic kidney disease of unknown cause) in central India (OR 1.013, 95% CI 1.003-1.024, p=0.014), with surface water use as a key risk factor [10]. Parallel CKDu epidemics in Sri Lankan rice-farming regions involve multi-metal exposure through groundwater [11]. In CKD patients, arsenic-resistant bacteria dominate the gut resistome [27].

Metabolic Disease

Arsenic exposure is associated with type-2 diabetes, metabolic syndrome, and obesity [6]. The metabolic consequences may be partly microbiome-mediated: arsenic perturbs bile acid metabolism and affects metabolic health-associated gut microbiota, with changes linked to T2DM pathways [22]. Prenatal exposure programs offspring microbiome shifts in insulin signaling and NAFLD pathways [24].

Neurodevelopmental Effects

Arsenic and/or fluoride exposure from intrauterine to adult periods in rats reduces neurobehavioral performance and causes hippocampal CA1 lesions, mediated through altered gut microbiome composition and disrupted tryptophan, GABA, and arachidonic acid metabolism [28]. In children, urinary arsenic shows the strongest negative correlation with social behavior (r=-0.43, p<0.001) and is associated with disrupted microbiome-associated catecholamine precursor metabolites [29]. Dietary heavy metals including arsenic are implicated in neurodegeneration through gut-brain axis disruption [30].

Cardiovascular Disease

Arsenic exposure is linked to cardiovascular disease and hypertension [6]. The metabolic perturbations induced by arsenic in the gut — particularly bile acid disruption — may contribute to cardiovascular risk through the microbiome-metabolome axis [21].

—-

Key Studies

StudyTypeKey Contribution
[15]Animal modelDemonstrated microbiome is required for arsenic protection; identified F. prausnitzii as protective
[2]Expert reviewMapped all known microbial arsenic biotransformation pathways in GIT context
[19]Systematic review (n=3000+)Confirmed arsenic consistently disrupts gut microbiota; identified Collinsella as cross-metal pathobiont
[18]Animal modelShowed dysbiosis at WHO drinking water limit (10 ppb); 9x increase in resistance gene transfer
[24]Animal modelDemonstrated prenatal arsenic programs offspring gut microbiome and metabolic pathways
[6]Expert reviewQuantified the brown rice arsenic paradox; linked dietary arsenic to multi-cancer risk
[1]ReviewMapped arsenic-specific gut barrier disruption mechanisms (paracellular transport, cytokine induction)
[13]Cross-sectionalArsenic as predominant driver of antibiotic resistance gene distribution in paddy soils
[14]Prospective cohort (n=15)3.8-fold urinary arsenic increase at weaning; rice cereal as dominant infant exposure source
[10]Case-controlBlood arsenic independently associated with CKDu (OR 1.013)

—-

Open Questions

  1. Which methylated form is the proximate carcinogen? DMA(III) is highly reactive but transient; MMA(III) may be the most toxic arsenical intermediate [5], but in vivo studies are limited.
  2. Microbiome individuality and arsenicosis: Can gut microbiome composition predict who will develop disease from arsenic exposure? The inter-individual variation in microbiome-mediated protection observed by [15] suggests this is possible but untested in human populations.
  3. No direct human GIT studies: Most knowledge of arsenic biotransformation in the gut is extrapolated from environmental and model organism studies; no studies have directly measured arsenic biogeochemistry within the human GIT [2].
  4. Prenatal programming persistence: How long do arsenic-induced microbiome changes persist in offspring — are they permanent or do they normalize? [24]
  5. Co-selection clinical impact: Does the arsenic-driven enrichment of antibiotic-resistant gut bacteria translate to treatment failure in clinical settings? [27]
  6. Interaction with dietary factors: folate/methionine status may modulate cancer risk significantly by affecting SAM availability [4].
  7. Low-dose, long-term effects: chronic dietary exposure through rice and water at sub-acute levels remains poorly characterized despite affecting hundreds of millions [6].

—-

Cross-References

References (31)

  1. Sweta Ghosh, Syam P. Nukavarpu, Venkatakrishna Rao Jala (2023). Effect of Heavy Metals on Gut Barrier Integrity and Gut Microbiota. Metal ions in Life Sciences (Accepted Manuscript)
  2. McDermott TR, Stolz JF, Oremland RS (2020). Arsenic and the gastrointestinal tract microbiome. Environmental Microbiology Reports. doi:10.1111/1758-2229.12814
  3. Hui Duan, Leilei Yu, Fengwei Tian et al. (2020). Gut Microbiota: A Target for Heavy Metal Toxicity and a Probiotic Protective Strategy. Science of the Total Environment. doi:10.1016/j.scitotenv.2020.140429
  4. Konstantin Salnikov, Anatoly Zhitkovich (2008). Genetic and Epigenetic Mechanisms in Metal Carcinogenesis and Cocarcinogenesis: Nickel, Arsenic, and Chromium. Chemical Research in Toxicology. doi:10.1021/tx700198a
  5. Monisha Jaishankar, Tenzin Tseten, Naresh Anbalagan et al. (2014). Toxicity, Mechanism and Health Effects of Some Heavy Metals. Interdisciplinary Toxicology. doi:10.2478/intox-2014-0009
  6. Lihchyun Joseph Su, Tung-Chin Chiang, Sarah N. O'Connor (2023). Su 2023 — Arsenic in brown rice: do the benefits outweigh the risks?. Frontiers in Nutrition. doi:10.3389/fnut.2023.1209574
  7. Jackson BP, Taylor VF, Punshon T et al. (2012). Arsenic concentration and speciation in infant formulas and first foods. Pure and Applied Chemistry. doi:10.1351/PAC-CON-11-07-39
  8. Balali-Mood M, Naseri K, Tahergorabi Z et al. (2021). Toxic Mechanisms of Five Heavy Metals: Mercury, Lead, Chromium, Cadmium, and Arsenic. Frontiers in Pharmacology. doi:10.3389/fphar.2021.643972
  9. Yan Zhang, Jie He, Jiao Jin et al. (2022). Recent advances in the application of metallomics in diagnosis and prognosis of human cancer. Metallomics. doi:10.1007/s10653-023-01737-y
  10. Mahendra Atlani, Ashok Kumar, Rajesh Ahirwar et al. (2024). Heavy Metal Association with Chronic Kidney Disease of Unknown Cause in Central India - Results from a Case-Control Study. BMC Nephrology. doi:10.1186/s12882-024-03564-4
  11. Liza K. McDonough, Karina T. Meredith, Chandima Nikagolla et al. (2020). McDonough et al. 2020 — Water Chemistry and Microbiome of Household Wells in CKDu-Endemic Sri Lanka. Scientific Reports. doi:10.1038/s41598-020-75336-7
  12. Raneesha Navaretnam, Ahmad Zaharin Aris, Muhammad Faizan A. Shukor et al. (2025). Navaretnam 2025 — Arsenic speciation using HPLC-ICP-MS in white and brown rice and health risk assessment. Environmental Geochemistry and Health. doi:10.1007/s10653-025-02723-2
  13. Zhao X, Shen JP, Zhang LM et al. (2020). Arsenic and cadmium as predominant factors shaping the distribution patterns of antibiotic resistance genes in polluted paddy soils. Journal of Hazardous Materials. doi:10.1016/j.jhazmat.2019.121838
  14. Antonio J. Signes-Pastor, Kathryn L. Cottingham, Manus Carey et al. (2018). Signes-Pastor 2018 — Infants' dietary arsenic exposure during transition to solid food. Scientific Reports. doi:10.1038/s41598-018-25372-1
  15. Coryell M, McAlpine M, Pinkham NV et al. (2018). The gut microbiome is required for full protection against acute arsenic toxicity in mouse models. Nature Communications. doi:10.1038/s41467-018-07803-9
  16. Rosenfeld CS (2017). Gut dysbiosis in animals due to environmental chemical exposures. Frontiers in Cellular and Infection Microbiology. doi:10.3389/fcimb.2017.00396
  17. Richardson JB, Dancy BCR, Horton CL et al. (2018). Exposure to toxic metals triggers unique responses from the rat gut microbiota. Scientific Reports. doi:10.1038/s41598-018-24931-w
  18. Dahan D, Jude BA, Lamendella R et al. (2018). Exposure to arsenic alters the microbiome of larval zebrafish. Frontiers in Microbiology. doi:10.3389/fmicb.2018.01323
  19. Fatemeh Rezazadegan, Maryam Mahmoudi, Seyed Mohammad Mousavi (2025). Rezazadegan et al. 2025 — Heavy Metals and Gut Microbiota: A Systematic Review. Journal of Health, Population and Nutrition. doi:10.1186/s41043-025-00750-4
  20. Federica Giambo, Sebastiano Italia, Michele Teodoro et al. (2021). Influence of Toxic Metal Exposure on the Gut Microbiota (Review). World Academy of Sciences Journal
  21. Qinheng Zhu, Boyan Chen, Fu Zhang et al. (2024). Toxic and Essential Metals: Metabolic Interactions with the Gut Microbiota and Health Implications. Frontiers in Nutrition. doi:10.1016/j.biopha.2023.115602
  22. Xuanji Li, Asker Daniel Brejnrod, Madeleine Ernst et al. (2019). Heavy Metal Exposure Causes Changes in the Metabolic Health-Associated Gut Microbiome and Metabolites. Environment International. doi:10.1016/j.envint.2019.05.048
  23. Liliana Anchidin-Norocel, Oana C. Iatcu, Andrei Lobiuc et al. (2025). Heavy Metal-Gut Microbiota Interactions: Probiotics Modulation and Biosensors Detection. Biosensors. doi:10.3390/bios15030188
  24. Shukla S, Srivastava A, Verma D et al. (2023). Shukla et al. 2023 — Analysis of Gut Bacteriome of In Utero Arsenic-Exposed Mice. Frontiers in Microbiology. doi:10.3389/fmicb.2023.1147505
  25. Shimao Xiong, Bing Xie, Naiyi Yin et al. (2025). Xiong 2025 — Prenatal Exposure to Trace Elements Impacts Mother-Infant Gut Microbiome, Metabolome and Resistome During the First Year of Life. Nature Communications. doi:10.1038/s41467-025-60508-8
  26. Baker-Austin C, Wright MS, Stepanauskas R et al. (2006). Baker-Austin 2006 — Co-selection of Antibiotic and Metal Resistance. Trends in Microbiology. doi:10.1016/j.tim.2006.02.006
  27. Miranda, Rojas, Geisse et al. (2022). Miranda 2022 — Metal(loid) and Antibiotic Resistance in CKD Gut Bacteria. Biological Research. doi:10.1186/s40659-022-00389-z
  28. Zhang Xiao Li, Yu Sheng Nan, Qu Ruo Di et al. (2023). Zhang 2023 — Mechanism of Learning and Memory Impairment in Rats Exposed to Arsenic and/or Fluoride Based on Microbiome and Metabolome. Biomedical and Environmental Sciences. doi:10.3967/bes2023.028
  29. Kristin Krajewski (2025). Krajewski 2025 -- Heavy metals, noradrenaline/adrenaline ratio, and microbiome-associated hormone precursor metabolites: biomarkers for social behaviour, ADHD symptoms, and executive function in children. Scientific Reports. doi:10.1038/s41598-025-00680-5
  30. Aguilera M, Lamas B, Van Pamel E et al. (2021). Editorial: Risk of dietary hazardous substances and impact on human microbiota: possible role in several dysbiosis phenotypes. Frontiers in Microbiology. doi:10.3389/fmicb.2021.669480
  31. Yan X, Qiu J, Huang RW et al. (2025). Association between infants' serum levels of 26 metals and gut microbiota: a hospital-based cross-sectional study in China. Frontiers in Microbiology. doi:10.3389/fmicb.2025.1669475