WikiBiomeThe human microbiome encyclopedia
Structural evidence

Keystone studies

A Keystone designation identifies research that WikiBiome depends on to connect metals, microbes, mechanisms, and disease. It is a transparent graph role—not a citation prize, journal ranking, or claim that every source has equal publication status.

41
designated studies
272
dependent pages
41
verified DOI records
Classification contract

At least three of five criteria

The source data carries the criteria and editorial rationale; this page regenerates the designation list and every dependency link from the synchronized corpus.

02

Structural dependency

Supports a page or evidence layer that would become materially weaker if the study were removed.

Filter by criterion 2
03

Cross-condition reach

Provides connective evidence used across more than one disease or biological context.

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04

Mechanistic explanation

Explains why an association exists rather than reporting correlation alone.

Filter by criterion 4
05

Interpretive change

Changes how WikiBiome organizes or explains an organism, exposure, disease, or ecological process.

Filter by criterion 5
Generated library

Criterion 3: Cross-condition reach

32 records, ordered by the number of canonical pages that use them.

International Journal of Molecular Sciences · 2024

Mechanism of Iron Ion Homeostasis in Intestinal Immunity and Gut Microbiota Remodeling

Honghong Bao, Yi Wang, Hanlin Xiong, Yaoyao Xia et al.

45
dependent pages
3/5
criteria
Why Keystone

Establishes iron homeostasis as a critical junction between host immunity (hepcidin-ferroportin axis) and microbiota composition—demonstrating how iron deficiency depletes Lactobacillus while iron excess enriches pathogenic Bacteroides and E. coli. This paper is foundational to WikiBiome's iron signatures across anemia, IBD, and metabolic disease.

Criteria met
1 · Cross-domain bridge3 · Cross-condition reach4 · Mechanistic explanation
Used by canonical pages
Interdisciplinary Toxicology · 2014

Toxicity, Mechanism and Health Effects of Some Heavy Metals

Monisha Jaishankar, Tenzin Tseten, Naresh Anbalagan, Blessy B. Mathew et al.

41
dependent pages
4/5
criteria
Why Keystone

Unifies diverse metal toxicity mechanisms (ROS generation, glutathione depletion, mis-metallation, DNA repair inhibition) under a single conceptual framework, enabling WikiBiome to explain why multiple metals—arsenic, lead, cadmium, chromium—converge on dysbiotic inflammation. Critical for understanding why metal burden correlates with dysbiosis across metabolic, autoimmune, and neurological conditions.

Criteria met
2 · Structural dependency3 · Cross-condition reach4 · Mechanistic explanation5 · Interpretive change
Used by canonical pages
Frontiers in Nutrition · 2024

Toxic and Essential Metals: Metabolic Interactions with the Gut Microbiota and Health Implications

Qinheng Zhu, Boyan Chen, Fu Zhang, Baodan Zhang et al.

37
dependent pages
3/5
criteria
Why Keystone

Maps the bidirectional interactions between toxic and essential metals and the gut microbiota, showing how microbial metabolism can both detoxify and activate metal species, and how metal exposure selects for metal-tolerant taxa. Supports the core WikiBiome thesis that the gut microbiota is a primary interface in human metal biology.

Criteria met
1 · Cross-domain bridge2 · Structural dependency3 · Cross-condition reach
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Microbiota and Host · 2024

Effects of Heavy Metals on Gut Barrier Integrity and Gut Microbiota

Sweta Ghosh, Syam P. Nukavarpu, Venkatakrishna Rao Jala

35
dependent pages
4/5
criteria
Why Keystone

Comprehensively maps metal-specific mechanisms of tight junction disruption (arsenic: paracellular transport; lead: claudin/occludin loss; mercury: permeability increase; cadmium: E-cadherin downregulation) and identifies metal-susceptible vs. metal-resistant microbiota species. WikiBiome depends on this evidence to explain barrier collapse as the critical intermediate step connecting metal burden to systemic dysbiosis—showing how microbial metabolites and probiotic species can counteract metal-induced permeability.

Criteria met
1 · Cross-domain bridge2 · Structural dependency3 · Cross-condition reach4 · Mechanistic explanation
Used by canonical pages
Frontiers in Pharmacology · 2021

Toxic Mechanisms of Five Heavy Metals: Mercury, Lead, Chromium, Cadmium, and Arsenic

Balali-Mood M, Naseri K, Tahergorabi Z, Khazdair MR et al.

31
dependent pages
3/5
criteria
Why Keystone

Synthesizes the carcinogenic and neurotoxic mechanisms of mercury, lead, chromium, cadmium, and arsenic, emphasizing how each metal generates ROS and triggers oxidative-stress-dependent dysbiosis. WikiBiome depends on this comprehensive toxicology to connect multi-metal environmental exposures to the cross-condition dysbiotic signatures observed in neurodegenerative, metabolic, and cancer-associated signatures.

Criteria met
2 · Structural dependency3 · Cross-condition reach4 · Mechanistic explanation
Used by canonical pages
International Journal of Molecular Sciences · 2022

Molecular Mechanisms of Cellular Injury and Role of Toxic Heavy Metals in Chronic Kidney Disease

Manish Mishra, Larry Nichols, Aditi A. Dave, Elizabeth H. Pittman et al.

30
dependent pages
3/5
criteria
Why Keystone

Maps distinct metal-specific mechanisms of kidney injury for arsenic (ROS/MAPK/NF-kB activation), cadmium (electron transport chain disruption, ER stress, 10→25% CKD risk), and mercury (mitochondrial depolarization, cytoskeletal damage)—establishing these metals as distinct nephrotoxins with separate mechanistic signatures. WikiBiome depends on this evidence to explain why CKD populations accumulate toxic metals, enabling characterization of the reciprocal metal-kidney-disease pathway across signature layers.

Criteria met
2 · Structural dependency3 · Cross-condition reach4 · Mechanistic explanation
Used by canonical pages
Mass Spectrometry Reviews · 2021

Infection metallomics for critical care in the post-COVID era

Patil RH, Luptakova D, Havlicek V

27
dependent pages
4/5
criteria
Why Keystone

Defines infection metallomics as a diagnostic platform: microbial metallophores (siderophores and Cu/Zn/Ni/Co-chelators) detected by mass spectrometry can distinguish invasive infection from colonization. Underpins WikiBiome's framing of pathogen virulence as a metal-acquisition phenomenon and establishes metallophores as signature biomarkers across sepsis, pneumonia, UTI, and CNS infection.

Criteria met
1 · Cross-domain bridge3 · Cross-condition reach4 · Mechanistic explanation5 · Interpretive change
Used by canonical pages
Seminars in Immunopathology · 2012

Metal Ion Acquisition in Staphylococcus aureus: Overcoming Nutritional Immunity

James E. Cassat, Eric P. Skaar

25
dependent pages
3/5
criteria
Why Keystone

Maps the complete metal acquisition arsenal of Staphylococcus aureus and the nutritional immunity systems the host deploys to counter each—transforming WikiBiome's understanding of how calprotectin-mediated manganese/zinc sequestration drives both pathogenic persistence and dysbiotic inflammation. This mechanistic completeness is foundational to modeling metal-dependent pathogenesis across wound, respiratory, and systemic infections.

Criteria met
1 · Cross-domain bridge3 · Cross-condition reach4 · Mechanistic explanation
Used by canonical pages
Science of the Total Environment · 2020

Gut Microbiota: A Target for Heavy Metal Toxicity and a Probiotic Protective Strategy

Hui Duan, Leilei Yu, Fengwei Tian, Qixiao Zhai et al.

24
dependent pages
3/5
criteria
Why Keystone

Frames the bidirectional relationship between metals and dysbiosis: metals drive dysbiosis, and dysbiosis impairs metal detoxification—a positive feedback loop central to WikiBiome's pathophysiology model. Critical for understanding why probiotic intervention (Lactobacillus, Bifidobacterium) can interrupt metal-driven disease across autism, allergies, and metabolic conditions.

Criteria met
1 · Cross-domain bridge2 · Structural dependency3 · Cross-condition reach
Used by canonical pages
World Academy of Sciences Journal · 2021

Influence of Toxic Metal Exposure on the Gut Microbiota (Review)

Federica Giambo, Sebastiano Italia, Michele Teodoro, Giusi Briguglio et al.

23
dependent pages
4/5
criteria
Why Keystone

Comprehensive synthesis of how arsenic, cadmium, mercury, lead, and trace metals reshape microbiota composition and functionality. This cross-metal framework enables WikiBiome to explain why multiple metals—whether individually or as an environmental metal burden—converge on the dysbiotic signatures observed across disease states.

Criteria met
1 · Cross-domain bridge2 · Structural dependency3 · Cross-condition reach4 · Mechanistic explanation
Used by canonical pages
Biosensors · 2025

Heavy Metal-Gut Microbiota Interactions: Probiotics Modulation and Biosensors Detection

Liliana Anchidin-Norocel, Oana C. Iatcu, Andrei Lobiuc, Mihai Covasa

21
dependent pages
3/5
criteria
Why Keystone

Synthesizes metal-dysbiosis interactions with eight distinct probiotic detoxification mechanisms (biosorption, bioprecipitation, bioassimilation, biotransformation) and real-time biosensor monitoring of metal clearance. WikiBiome depends on this paper to link microbiota-mediated metal sequestration to barrier function recovery—establishing that probiotic interventions can interrupt the metal-dysbiosis feedback loop by enabling both metal excretion and restoration of tight junction integrity.

Criteria met
1 · Cross-domain bridge3 · Cross-condition reach4 · Mechanistic explanation
Used by canonical pages
Frontiers in Neuroscience · 2024

Scholefield et al. 2024 — Brain Metallomic Signatures Distinguish DLB from AD and PDD

Melissa Scholefield, Stephanie J. Church, Jingshu Xu, Garth J. S. Cooper

19
dependent pages
5/5
criteria
Why Keystone

Shows that brain metallomic signatures — the spatial distribution of Fe, Cu, Zn, Mn across specific regions — discriminate dementia with Lewy bodies from Alzheimer's and Parkinson's disease dementia. Establishes that neurodegenerative diseases are metallomically distinct phenotypes, not variants of a single cascade, and grounds WikiBiome's differential signatures for DLB, AD, and PDD.

Criteria met
1 · Cross-domain bridge2 · Structural dependency3 · Cross-condition reach4 · Mechanistic explanation5 · Interpretive change
Used by canonical pages
Digestive Diseases and Sciences · 2024

ZIP8 A391T Crohn's Disease-Linked Risk Variant Induces Colonic Metal Ion Dyshomeostasis, Microbiome Compositional Shifts, and Inflammation

Yang JC, Zhao M, Chernikova D, Arias-Jayo N et al.

19
dependent pages
3/5
criteria
Why Keystone

Shows that the Crohn's-linked ZIP8 A391T variant produces colonic metal ion dyshomeostasis — specifically disrupted zinc and manganese handling — that reshapes the microbiome and inflammatory state. Direct genetic evidence that metal transporters sit upstream of IBD microbiome composition and a mechanistic linchpin for WikiBiome's Crohn's signature.

Criteria met
1 · Cross-domain bridge2 · Structural dependency3 · Cross-condition reach
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Journal of Xenobiotics · 2025

Associations of Environmental Exposure to Arsenic, Manganese, Lead, and Cadmium with Alzheimer's Disease: A Review of Recent Evidence from Mechanistic Studies

Giasuddin Ahmed, Md. Shiblur Rahaman, Enrique Perez, Khalid M. Khan

18
dependent pages
3/5
criteria
Why Keystone

Comprehensively maps metal-specific mechanisms (arsenic: tau phosphorylation via GSK3-beta/ERK; manganese: autophagy impairment; lead/cadmium: blood-brain barrier disruption) converging on Alzheimer's disease pathology across 45 mechanistic studies. WikiBiome depends on this evidence to explain how distinct metal burdens select for divergent neurodegenerative trajectories—establishing metal-specific toxicology as deterministic of proteinopathy type rather than a generic oxidative insult.

Criteria met
2 · Structural dependency3 · Cross-condition reach4 · Mechanistic explanation
Used by canonical pages
Nutrients · 2025

Effects of Trace Elements on Endocrine Function and Pathogenesis of Thyroid Diseases — A Literature Review

Brylinski L, Kostelecka K, Wolinski F, Komar O et al.

18
dependent pages
3/5
criteria
Why Keystone

Links trace metal and micronutrient status (iron, copper, zinc, selenium, iodine) to thyroid function and autoimmune thyroiditis pathogenesis — bridging nutritional immunity and dysbiosis in Graves' disease and Hashimoto's thyroiditis. Critical for understanding how cadmium/mercury burden drives thyroid-specific dysbiosis and immune dysregulation.

Criteria met
2 · Structural dependency3 · Cross-condition reach4 · Mechanistic explanation
Used by canonical pages
Zenodo Preprint · 2026

Heavy Metals, Microbial Metallomics, and the US Obesity Epidemic: A Mechanistic Examination of a Population-Level Metabolic Disruption

Karen Pendergrass

18
dependent pages
3/5
criteria
Why Keystone

This paper connected phosphate fertilizer contamination, heavy metal accumulation in the food supply, and the population-level metabolic disruptions driving the US obesity epidemic — bridging agricultural science, environmental toxicology, and microbial ecology in a single framework. It provides the cross-condition evidence linking cadmium and nickel exposure to insulin resistance, SCFA depletion, and gut dysbiosis patterns shared across obesity, type 2 diabetes, and metabolic syndrome. Without this paper, WikiBiome could not explain why the same metals appearing in multiple disease signatures trace back to a common environmental source.

Criteria met
1 · Cross-domain bridge3 · Cross-condition reach5 · Interpretive change
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Journal of Hazardous Materials Advances · 2025

Exposure to Cadmium and Its Impacts on Human Health: A Short Review

Puthiyavalappil Rasin, Ashwathi A V, Sabeel M Basheer, Jebiti Haribabu et al.

17
dependent pages
3/5
criteria
Why Keystone

Comprehensively maps cadmium toxicology across organ systems—kidneys (25-30 year half-life, tubular reabsorption dynamics), lungs (4-5x elevation in smokers), neurons (voltage-gated Ca channel entry), cardiovascular (endothelial damage, atherosclerosis), placenta (embryonic gene expression disruption via methyltransferase inhibition)—establishing cadmium as a multi-system metal burden. WikiBiome depends on this evidence to explain why cadmium dysregulation appears across disease signatures and to characterize organ-specific accumulation pathways.

Criteria met
2 · Structural dependency3 · Cross-condition reach4 · Mechanistic explanation
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Frontiers in Endocrinology · 2023

Kravchenko 2023 — Thyroid hormones and minerals in immunocorrection of disorders in autoimmune thyroid diseases

Kravchenko V, Zakharchenko T

16
dependent pages
3/5
criteria
Why Keystone

Maps mineral-specific immunomodulation in autoimmune thyroid disease, showing how selenium supplementation reduces TPO antibodies via selenoprotein GPx upregulation, zinc enables thymulin activation for T cell function, and iron deficiency impairs TPO activity while increasing autoimmune susceptibility. WikiBiome depends on this evidence to establish how dysbiotic organisms (depleted in metal-dependent SCFA producers) directly undermine thyroid barrier tolerance — linking metal dysbiosis to Treg dysfunction via metal-dependent enzyme failures.

Criteria met
2 · Structural dependency3 · Cross-condition reach4 · Mechanistic explanation
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Journal of Environmental Science and Health Part C - Environmental Carcinogenesis and Ecotoxicology Reviews · 2012

Role of Cadmium and Nickel in Estrogen Receptor Signaling and Breast Cancer: Metalloestrogens or Not?

Aquino NB, Sevigny MB, Sabangan J, Louie MC

16
dependent pages
3/5
criteria
Why Keystone

Establishes cadmium and nickel as metalloestrogens with distinct mechanistic signatures: cadmium binds ERα with affinity near estradiol, activating classical estrogen target genes; nickel induces histone deacetylation and tumor suppressor methylation without competing for estradiol binding. WikiBiome depends on this evidence to explain how metal burden drives estrogen-dependent dysbiosis (estrobolome expansion) in endometriosis and hormonally-sensitive cancers—linking metallomics to the estrobolome pathway.

Criteria met
2 · Structural dependency3 · Cross-condition reach4 · Mechanistic explanation
Used by canonical pages
Journal of Neurochemistry · 2025

Metal Dyshomeostasis as a Driver of Gut Pathology in Autism Spectrum Disorders

O'Grady K, Grabrucker AM

15
dependent pages
3/5
criteria
Why Keystone

PRISMA systematic review showing that toxic metals (Hg, Cd, Pb) and zinc deficiency produce **overlapping gut pathologies**—barrier dysfunction, permeability, inflammation, dysbiosis—establishing a unifying mechanism: metals reduce zinc bioavailability through protein-binding competition, mimicking zinc deficiency. WikiBiome depends on this evidence to connect metal dysregulation to zinc depletion across multiple conditions and to explain why metal burden and zinc loss appear as paired signatures in disease.

Criteria met
2 · Structural dependency3 · Cross-condition reach4 · Mechanistic explanation
Used by canonical pages
Biomolecules · 2023

Interaction of Heavy Metal Lead with Gut Microbiota: Implications for Autism Spectrum Disorder

Tizabi Y, Bennani S, El Kouhen N, Getachew B et al.

14
dependent pages
4/5
criteria
Why Keystone

Links lead exposure to autism-spectrum gut dysbiosis via specific taxa shifts — Faecalibacterium depletion, Lactobacillus loss, Desulfovibrio enrichment — consistent with the broader ASD microbial signature. Anchors lead as a metal driver of the autism signature and contributes to the cross-condition pattern in which Pb recurs across neurodevelopmental and neurodegenerative conditions.

Criteria met
1 · Cross-domain bridge2 · Structural dependency3 · Cross-condition reach4 · Mechanistic explanation
Used by canonical pages
Frontiers in Cellular Neuroscience · 2015

Environmental pollutants as risk factors for neurodegenerative disorders: Alzheimer and Parkinson diseases

Chin-Chan M, Navarro-Yepes J, Quintanilla-Vega B

14
dependent pages
3/5
criteria
Why Keystone

Maps the connection between metal exposure (lead, mercury, arsenic, manganese) and proteinopathy mechanisms (amyloid-beta aggregation, tau phosphorylation, alpha-synuclein) in Alzheimer's and Parkinson's disease, with critical emphasis on developmental epigenetic priming. WikiBiome depends on this framework to explain why metal burden during critical windows drives neurodegenerative disease across distinct proteinopathies—establishing lead and manganese as selective pressures that alter both neuroinflammation and protein misfolding cascades.

Criteria met
2 · Structural dependency3 · Cross-condition reach4 · Mechanistic explanation
Used by canonical pages
Journal of Diabetes and Metabolic Disorders · 2014

Metals in the pathogenesis of type 2 diabetes

Abdul Rehman Khan, Fazli Rabbi Awan

13
dependent pages
3/5
criteria
Why Keystone

Establishes that type 2 diabetes is characterized by zinc depletion (via urinary loss and ZnT8 transporter dysfunction) and iron overload (elevated ferritin driving insulin resistance), while toxic metals (lead, nickel, cadmium, arsenic) directly impair insulin signaling and glucose metabolism. WikiBiome depends on this evidence to explain why metal-dysregulated microbiota (depleted in zinc-dependent bacteria) cannot restore insulin sensitivity—linking nutritional immunity failure to dysbiotic metabolic incompetence.

Criteria met
2 · Structural dependency3 · Cross-condition reach4 · Mechanistic explanation
Used by canonical pages
Biological Trace Element Research · 2020

Are Heavy Metal Exposure and Trace Element Levels Related to Metabolic and Endocrine Problems in Polycystic Ovary Syndrome?

Kirmizi DA, Baser E, Turksoy VA, Kara M et al.

12
dependent pages
3/5
criteria
Why Keystone

Quantifies heavy metal burden in PCOS showing antimony and cadmium elevated with direct correlation to insulin resistance, while zinc depletion parallels findings in autism and autoimmune conditions—establishing metal dysregulation as a cross-condition pattern selecting for dysbiotic organisms. WikiBiome depends on this evidence to explain how endocrine dysbiosis (estrobolome expansion) emerges from metal-driven immune dysfunction and zinc-dependent barrier failure in reproductive disease.

Criteria met
2 · Structural dependency3 · Cross-condition reach4 · Mechanistic explanation
Used by canonical pages
Journal of Alzheimer's Disease · 2020

Heavy Metals Exposure and Alzheimer's Disease and Related Dementias

Bakulski KM, Seo YA, Hickman RC, Brandt D et al.

12
dependent pages
3/5
criteria
Why Keystone

Synthesizes epidemiological evidence linking lead (lifetime cumulative exposure), mercury (organic and inorganic forms), cadmium, and arsenic to Alzheimer's disease and related dementias through multiple pathways: direct neurotoxicity, calcium channel disruption, and epigenetic silencing. Critical for WikiBiome because it establishes metal exposure assessment methodology (bone lead vs. blood lead, biomarker selection) essential for accurate metallomics phenotyping across neurodegenerative disease signatures.

Criteria met
2 · Structural dependency3 · Cross-condition reach4 · Mechanistic explanation
Used by canonical pages
Frontiers in Nutrition · 2022

Relationships Between Biological Heavy Metals and Breast Cancer: A Systematic Review and Meta-Analysis

Liu L, Chen J, Liu C, Liu Y et al.

11
dependent pages
3/5
criteria
Why Keystone

Meta-analytic confirmation that copper, cadmium, and lead are elevated while zinc and manganese are depleted in breast cancer patients across 36 case-control studies. Anchors the metallomic layer of the breast cancer signature and supports the cross-condition pattern in which Cd-driven estrogen mimicry and Cu/Zn dyshomeostasis recur across estrogen-sensitive conditions.

Criteria met
2 · Structural dependency3 · Cross-condition reach4 · Mechanistic explanation
Used by canonical pages
Current Urology · 2020

Serum Levels of Selenium, Zinc, Copper, Manganese, and Iron in Prostate Cancer Patients

Saleh A. K. Saleh, Heba M. Adly, Altaf A. Abdelkhaliq, Anmar M. Nassir

10
dependent pages
4/5
criteria
Why Keystone

Characterizes the prostate cancer metallomic signature—Se/Zn/Mn depletion paired with Cu/Fe elevation—and establishes Cu-Zn competitive antagonism at the metallothionein level as a carcinogenic mechanism. WikiBiome depends on this evidence to recognize the pan-cancer metal pattern (Cu accumulation + Zn loss) as a cross-condition marker and to understand how metal dysregulation enables malignant transformation across tissue types.

Criteria met
1 · Cross-domain bridge3 · Cross-condition reach4 · Mechanistic explanation5 · Interpretive change
Used by canonical pages
World Academy of Sciences Journal · 2024

Impact of heavy metals on breast cancer (Review)

Ali AS, Nazar ME, Mustafa RM, Hussein S et al.

10
dependent pages
3/5
criteria
Why Keystone

Establishes a metal-specific biomarker signature in breast cancer: copper accumulation (especially metastatic), cadmium elevation (endocrine disruption via ERα), zinc/manganese depletion (immune deficiency), and nickel/lead as metalloestrogens. WikiBiome depends on this evidence to explain how metal burden drives both nutritional immunity dysregulation and estrogen-dependent dysbiosis—linking metallomics to the estrobolome pathway across endocrine cancers.

Criteria met
2 · Structural dependency3 · Cross-condition reach4 · Mechanistic explanation
Used by canonical pages
Cardiovascular Toxicology · 2025

Cardio-Metabolic Effects of Nickel: A Narrative Review

Yucheng Liu, Xiaomin Luo, Yongde Peng, Lu Cai

9
dependent pages
3/5
criteria
Why Keystone

This review bridges nickel toxicology and cardio-metabolic disease — two fields that rarely intersect. It provides the epidemiological and mechanistic evidence connecting nickel exposure to cardiovascular disease and metabolic syndrome, which allows WikiBiome to extend its nickel-pathogenesis framework beyond the gut into systemic metabolic consequences. Without this paper, the cross-condition pattern linking nickel to both gut dysbiosis and cardiovascular outcomes could not be drawn.

Criteria met
1 · Cross-domain bridge3 · Cross-condition reach4 · Mechanistic explanation
Used by canonical pages
Appl Environ Microbiol · 2016

Oral Administration of Probiotics Inhibits Absorption of the Heavy Metal Cadmium by Protecting the Intestinal Barrier

Zhai Q, Wang G, Zhao J, Liu X et al.

9
dependent pages
3/5
criteria
Why Keystone

Demonstrates that specific Lactobacillus strains sequester cadmium and protect against Cd-induced gut damage in vivo, establishing probiotics as a tractable intervention against metal toxicity. Grounds the intervention layer of WikiBiome's cadmium-microbiome framework and supports probiotic metal-sequestration as a cross-condition therapeutic lever.

Criteria met
1 · Cross-domain bridge3 · Cross-condition reach4 · Mechanistic explanation
Used by canonical pages
Scientific Reports · 2019

Benoit et al. 2019 — Nickel Chelation Therapy as an Approach to Combat Multi-Drug Resistant Enteric Pathogens

Stéphane L. Benoit, Alan A. Schmalstig, John Glushka, Susan E. Maier et al.

6
dependent pages
5/5
criteria
Why Keystone

Criteria met
1 · Cross-domain bridge2 · Structural dependency3 · Cross-condition reach4 · Mechanistic explanation5 · Interpretive change
Used by canonical pages
Nature Communications · 2021

Behnsen et al. 2021 — Siderophore-Mediated Zinc Acquisition Enhances Enterobacterial Colonization of the Inflamed Gut

Judith Behnsen, Hui Zhi, Allegra T. Aron, Vivekanandan Subramanian et al.

0
dependent pages
4/5
criteria
Why Keystone

Criteria met
1 · Cross-domain bridge2 · Structural dependency3 · Cross-condition reach4 · Mechanistic explanation
Used by canonical pages