Epigenetics, Microbiome and Personalized Medicine: Focus on Kidney Disease DOI Open Access

Giuseppe Gigliotti,

Rashmi Joshi,

Anam Khalid

et al.

International Journal of Molecular Sciences, Journal Year: 2024, Volume and Issue: 25(16), P. 8592 - 8592

Published: Aug. 6, 2024

Personalized medicine, which involves modifying treatment strategies/drug dosages based on massive laboratory/imaging data, faces large statistical and study design problems. The authors believe that the use of continuous multidimensional such as those regarding gut microbiota, or binary systems properly transformed into a variable, epigenetic clock, offer an advantageous scenario for trials personalized medicine. We will discuss examples focusing kidney diseases, specifically IgA nephropathy. While dysbiosis can provide strategy to restore standard microbiota using probiotics, transforming omics data clocks offers promising tool acute chronic disease care. Epigenetic involve complex transformation DNA methylome estimated biological age. These identify people at high risk developing problems even before symptoms appear. Some effects both clock diseases seem be mediated by endothelial dysfunction. “big data” (epigenetic microbiota) help tailor plans pinpointing patients likely experience rapid declines who might not need overly aggressive therapies.

Language: Английский

Targeting the Hallmarks of Aging with Vitamin D: Starting to Decode the Myth DOI Open Access
Carmelinda Ruggiero, Laura Tafaro,

Luisella Cianferotti

et al.

Nutrients, Journal Year: 2024, Volume and Issue: 16(6), P. 906 - 906

Published: March 21, 2024

Aging is the result of several complex and multifactorial processes, where agents contribute to an increased intrinsic vulnerability susceptibility age-related diseases. The hallmarks aging are a set biological mechanisms that finely regulated strictly interconnected, initiating or contributing changes anticipating network cellular intercellular connections between might represent possible target for research with pleiotropic effects. Vitamin D (VitD) known have positive impact not only on muscle bone health but also extra-skeletal districts, due widespread presence Receptors (VDRs). VitD VDR could be molecules potentially targeting network. To date, evidence about potential effects scarce in humans mainly based preclinical models. Although underpowered heterogeneous, in-human studies seem confirm modulatory effect some However, more investigations needed clarify its hallmark aging, hopefully highlighting courses translational applications clinical conclusions.

Language: Английский

Citations

5

Fecal microbial load is a major determinant of gut microbiome variation and a confounder for disease associations DOI Creative Commons
Suguru Nishijima, Evelina Stankevič, Oliver Aasmets

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: March 18, 2024

Abstract The microbiota in individual habitats differ both relative composition and absolute abundance. While sequencing approaches determine only the abundances of taxa genes, experimental techniques for abundance determination are rarely applied to large-scale microbiome studies. Here, we developed a machine learning approach predict fecal microbial loads (microbial cells per gram) solely from data. Applied datasets (n = 34,539), demonstrate that load is major determinant gut variation associated with numerous host factors. We found several diseases, altered load, not disease itself, was main driver changes. Adjusting this effect substantially reduced significance more than half disease-associated species. Our analysis reveals confounder studies, highlighting its importance understanding health disease.

Language: Английский

Citations

4

Fecal Microbiota Transplantation, a tool to transfer healthy longevity DOI Creative Commons
Marta G. Novelle,

Beatriz Naranjo-Martínez,

Juan L López-Cánovas

et al.

Ageing Research Reviews, Journal Year: 2024, Volume and Issue: 103, P. 102585 - 102585

Published: Nov. 23, 2024

The complex gut microbiome influences host aging and plays an important role in the manifestation of age-related diseases. Restoring a healthy via Fecal Microbiota Transplantation (FMT) is receiving extensive consideration to therapeutically transfer longevity. Herein, we comprehensively review benefits microbial rejuvenation - FMT promote aging, with few studies documenting life length properties. This explores how preconditioning donors standard lifestyle pharmacological antiaging interventions reshape microbiome, resulting being also FMT-transferable. Finally, expose current clinical uses context therapy address challenges regulatory landscape, protocol standardization, health risks that require refinement effectively utilize elderly.

Language: Английский

Citations

4

Fasting-mimicking diet-enrichedBifidobacterium pseudolongumsuppresses colorectal cancer by inducing memory CD8+T cells DOI
Ke Nan, Ziwen Zhong, Ying Yue

et al.

Gut, Journal Year: 2025, Volume and Issue: unknown, P. gutjnl - 333020

Published: Jan. 27, 2025

Background Fasting-mimicking diet (FMD) boosts the antitumour immune response in patients with colorectal cancer (CRC). The gut microbiota is a key host immunity regulator, affecting physiological homeostasis and disease pathogenesis. Objective We aimed to investigate how FMD protects against CRC via modulation. Design assessed probiotic species enrichment FMD-treated mice using faecal metagenomic sequencing. candidate were verified antibiotic-treated conventional germ-free mouse models. Immune landscape alterations evaluated single-cell RNA sequencing multicolour flow cytometry. microbiota-derived metabolites identified metabolomic profiling. Results Faecal profiling revealed Bifidobacterium pseudolongum mice. B. mediates effects by increasing tissue-resident memory CD8 + T-cell (TRM) population level of L-arginine, functional metabolite, increased mice; furthermore, L-arginine induced TRM phenotype vivo vitro. Mechanistically, transported solute carrier family 7-member 1 (SLC7A1) receptor T cells. Both improved anti-CTLA-4 efficacy orthotopic model. In CRC, cell number as accumulated. abundance cells was associated better prognosis CRC. Conclusion contributes producing L-arginine. This promotes differentiation into administration potential therapeutic strategy.

Language: Английский

Citations

0

The Promising Biological Role of Postbiotics in Treating Human Infertility DOI
Nader Khani, Amir Hesam Shakeri, Sousan Houshmandi

et al.

Probiotics and Antimicrobial Proteins, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 30, 2025

Language: Английский

Citations

0

Microbial signatures and therapeutic strategies in neurodegenerative diseases DOI Open Access

Mlaak Rob,

Mahmoud Yousef, Arun Prasath Lakshmanan

et al.

Biomedicine & Pharmacotherapy, Journal Year: 2025, Volume and Issue: 184, P. 117905 - 117905

Published: Feb. 10, 2025

Language: Английский

Citations

0

Homogeneity Between Cervical and Vaginal Microbiomes and the Diagnostic Limitations of 16S Sequencing for STI Pathogens at Higher Ct Values DOI Open Access
Claudio Neidhöfer, Mateja Condic,

Nynke E. Hahn

et al.

International Journal of Molecular Sciences, Journal Year: 2025, Volume and Issue: 26(5), P. 1983 - 1983

Published: Feb. 25, 2025

Understanding the interactions between cervico-vaginal microbiome, immune responses, and sexually transmitted infections (STIs) is crucial for developing targeted diagnostic therapeutic strategies. Although microbiome analyses are not yet standard practice, integrating them into routine diagnostics could enhance personalized medicine therapies. We investigated extent to which partial 16S short-read amplicon inform on presence of six commonly encountered STI-causing pathogens in a patient cohort referred colposcopy, whether relevant taxonomic or discrepancies occur when using vaginal rather than cervical swabs. The study included samples collected from women colposcopy at University Hospital Bonn November 2021 February 2022, due an abnormal PAP smear positive hrHPV results. rRNA gene sequencing libraries were prepared targeting V1-V2 V4 regions RNA sequenced Illumina MiSeq. PCR common conducted Allplex STI Essential Assay Kit (Seegene, Seoul, Republic Korea). Concerning bacterial no significant differences found terms prevalence taxa present diversity. A total 95 patients 171 tested least one among Ureaplasma parvum, urealyticum, Mycoplasma hominis, genitalium, Chlamydophila trachomatis Neisseria gonorrhoeae. Sequencing region enabled detection one-third half PCR-positive samples, with likelihood increasing lower cycle threshold (Ct) values. In contrast, was less effective overall, yielding fewer species-level identifications higher proportion undetermined taxa. demonstrate that closely mirrors relationship has been explored previously, but broadens possibilities analysis pathogen establishes swabs as reliable method detecting pathogens, sensitivities comparable superior endocervical On other hand, sensitivity appears insufficient diagnostics, it fails reliably identify even detect Ct

Language: Английский

Citations

0

Exploring the role of gut microbiota in colorectal liver metastasis through the gut-liver axis DOI Creative Commons

Qiu-Luo Liu,

Huijie Zhou,

Ziqiang Wang

et al.

Frontiers in Cell and Developmental Biology, Journal Year: 2025, Volume and Issue: 13

Published: March 13, 2025

Colorectal liver metastasis (CRLM) represents a major therapeutic challenge in colorectal cancer (CRC), with complex interactions between the gut microbiota and tumor microenvironment (TME) playing crucial role disease progression via gut-liver axis. The barrier serves as gatekeeper, regulating microbial translocation, which influences colonization metastasis. Through axis, actively shapes TME, where specific species their metabolites exert dual roles immune modulation. immunologically “cold” nature of liver, combined influence on immunity, complicates effective immunotherapy. However, microbiota-targeted interventions present promising strategies to enhance immunotherapy outcomes by modulating Overall, this review highlights emerging evidence CRLM provides insights into molecular mechanisms driving dynamic within

Language: Английский

Citations

0

MDIPID: Microbiota‐drug interaction and disease phenotype interrelation database DOI Creative Commons
Jiayi Yin, Hui Ma, Yuting Qi

et al.

iMeta, Journal Year: 2025, Volume and Issue: unknown

Published: March 21, 2025

The intricate bidirectional relationships among microbiota, microbial proteins, drugs, and diseases are essential for advancing precision medicine minimizing adverse drug reactions. However, there currently no data resources that comprehensively describe these valuable interactions. Therefore, the Microbiota-Drug Interaction Disease Phenotype Interrelation Database (MDIPID) database was developed in this study. MDIPID is distinctive its ability to elucidate complex interactions drugs/substances, disease phenotypes, thereby providing a comprehensive interconnected network facilitates identification of therapy targets advances personalized medicine. This resource expected become popular repository researchers aiming identify therapeutic targets, predict efficacy, develop new therapies, facilitating advancement can be accessed free without any login requirement at: https://idrblab.org/mdipid/. Accumulating evidence has demonstrated human microbiota plays vital role development individualized responses [1]. Indeed, (and their proteins), bidirectional. An in-depth thorough understanding increasingly regarded as key factor reducing reactions, attracting considerable attention [2]. There three major types interactions: (i) related proteins modulation on response (MMDR), which crucial drug-drug resistance [3]; (ii) or other exogenous substances impact (DEIM), fundamental pathophysiology improving efficacy [4]; (iii) microbiota-disease associations (MBDA), identifying predictive biomarkers helping stratify patients [5]. Since jointly determine development, accumulating relevant information will significantly enhance clinical predictions provide insights into therapies. Moreover, because response, formed by garnered significant interest emerged promising research direction [6]. For instance, colorectal cancer often experience diarrhea during irinotecan chemotherapy occurs metabolized toxic compound SN-38 action β-glucuronidase enzymes (GUSs) produced gut such Escherichia coli [7]. Consequently, several strategies have been proposed mitigate These leverage interaction networks could safely modulate taxa associated [3]. One approach reduce abundance pathogenic administering antibiotics, alleviating symptoms [8]. Another supplement with probiotics use GUSs inhibitors activity, thus mitigating occurrence [9]. addition played studies, based further help facilitate potential Currently, databases available offer between diseases, most remain freely accessible actively maintained. Some databases, microbe-drug association (MDAD) [10] gutMDisorder [11], microbiota-drug but do not capture drugs; some others, Peryton [12] Disbiome [13], approximately 1000 300 (a more list shown Supporting Information). Microbiota-active substance (MASI) [14] only describes interacting 806 microbiotas. best our knowledge, presents while also including underlying mechanisms, well Given importance an urgent need captures support rational delivery drugs. In study, therefore introduced systematically collect mechanisms (Figure 1). Specifically, (a) 6669 MMDR records detailing 881 drugs 628 species presented, involving 592 (MBPS) from 282 15 modulation, metabolic modification, sequestration, activation; (b) 11,760 DEIM describing variations induced 1066 drugs/exogenous provided, covering 43 groups substances, prebiotics, diet components, environmental toxicants; (c) 15,146 MBDA illustrating 2209 482 offered, encompassing 10 variation, decrease, increase, enrichment. Furthermore, categories collected collectively comprise includes 1818 2708 species, proteins. Overall, described emerge widely used empowers gain ultimately leading advancements treatment options. Microbiota gaining insight individual coordinate pharmacokinetics pharmacodynamics through various direct biotransformation, deactivation, bioaccumulation drug, indirectly affecting host's enzymes, transporters, immune system. Also, increasing highlights MBPS response. deactivate chemotherapeutic specific transporters uptake diminishing distribution throughout body concentration at target sites [15]. Thus, how developing novel strategies. Due scattered regarding effects literature, organized using methodology "METHODS" section. gathered included total belonging 3 kingdoms 28 phyla, (approved, trials, preclinical/investigative), 63 functional protein families (e.g., glutamate GABA antiporter family oxidoreductase), colon, small intestine, brain), experimental models Sprague-Dawley rats, MCF-7 breast carcinoma cells, BALB/c germ-free mice), studied phenotypes Parkinson disease, diabetes, colon cancer), methods 16S rDNA sequencing technology metagenomic sequencing), detailed mechanism 2). To exploration, offers variety searching "Home" page "Microbiota" menu (as illustrated Data access retrieval section). enable within database. Drug rapidly growing field holds [4]. Particularly, (such foods, natural products, toxicants) interact ways greatly influence composition function, reported syndromes, gastrointestinal cancers, neurodegenerative conditions [16]. Understanding different may they contribute processes. mentioned above, knowledge drug/substance likely interventions diet, fecal transplantation-based interventions) improve host therapy, minimize effects, immunotherapy, chemotherapy, radiotherapy. collecting targeted included: classes toxicants), 921 4 kingdoms, 48 function variation decrease abundance, promote growth, inhibit activity microbiota), oral, jejunum, intestine), C57BL/6 mice, CD-1 zebrafish), Alzheimer hyperlipidemia, technology), drugs/substances S1). were MDIPID, provided "Drug" section) corresponding refers fact when balance system disrupted, becomes unstable, diverse, pathogenic, undergoes colony remodeling, turn process [17]. number studies diseases. example, growth Canidia Albicans intestine schizophrenia, COVID-19, [18]; Malassezia restricta identified exacerbate inflammation inflammatory bowel [19]; anti-Saccharomyces cerevisiae antibodies (antibodies against Saccharomyces cerevisiae) increased Crohn's [20] compared healthy individuals clinically serological markers diagnosis disease. obtaining connection dysbiosis pathogenesis innovative captured encompasses classified under 333 International Classification Diseases 11th revision (ICD-11) standardized classes, 86 tract, kidney, vaginal), enrichment), methods/samples, comparative samples, microbe-disease S2). supplied, retrieved "Disease" menus complexity necessity constructing encompass simulate multifaceted dynamic exploring affect toxicity Additionally, simulating framework approaches, discovery, therapeutics, improved patient outcomes interventions. comprises network, efficient database, search presentation formats available. Researchers select suitable needs preferences. Detailed descriptions options below. Directly menu, pinpoint pertinent keyword searches (for name, etc.) deployment dropdown (categorized Genus Species Name, Status, Class Name) streamline process. On pages 2), greeted array information, general about atlas charting connections taxa, contains elements, across incorporates outlined regulatory Navigable via conduct utilizing keywords (like employing (organized Indication Genus, Name). drug-specific S1) (A) names, synonyms, Ro5 violations, current status, structural details, indications; (B) proteins; (C) analyses drug's listing affected tools, behind effects; (D) behavior, involved, mechanisms. Accessible find etc.), selecting appropriate (classified Status disease-specific S2) following sections: (including ICD-11 code, class); visualizing multidimensional entity, drug; variants impacted materials, elaborate mechanisms; drug(s) treat indicating type, status. From either "Protein" (sorted Protein Family along Displayed protein-specific S3) (name, gene, origins, family, tissue distribution, etc.); sheds light protein, expansive influences name affinity data, play. Recently, next-generation revolutionized progression breakthrough unveiled approaches rationally modulating prognosis deciphering issues requires address need, developed. provides view forming manipulation treatment. With rapid adoption artificial intelligence biomedical research, tremendous potential. It enables exploration accurately community. paves way poised seeking understand By leveraging insights, it drive medical advancements, effective treatments better outcomes. Comprehensive procedures collection preprocessing, standardization, website architecture implementation, found Supplementary Information. Jiayi Yin: Writing—original draft; curation. Hui Ma: Yuting Qi: Qingwei Zhao: curation; writing—review editing. Su Zeng: conceptualization. Fengcheng Li: visualization; Feng Zhu: conceptualization; study supported National Natural Science Foundation China (82373790, 32400516, 62402416); Zhejiang Provincial (LQN25C060001); Key R&D Program (2022YFC3400501); Leading Talent "Ten Thousand Plan" High-Level Talents Special Support Plan China; Double Top-Class Universities (181201*194232101). authors declare conflicts interest. No animals humans involved findings author upon reasonable request. materials (materials, methods, figures) online DOI iMeta http://www.imeta.science/. Figure S1. A typical illustrative diagram abundant MDIPID. S2. showing rich phenotype S3. Please note: publisher responsible content functionality supporting supplied authors. Any queries (other than missing content) should directed article.

Language: Английский

Citations

0

High-Electron-Mobility MXene-Enhanced Metasurface Biosensors Integrated with Microfluidics for Real-Time Multifunctional Monitoring DOI

Rui Li,

Yingchun Zhou,

Youqian Chen

et al.

ACS Nano, Journal Year: 2025, Volume and Issue: unknown

Published: March 24, 2025

Two-dimensional MXene materials have gained attention in optics due to their excellent conductivity and light absorption, showing great potential applications such as photodetectors, photothermal therapy, laser protection. However, the application of enhancing plasmonic biosensing on metasurfaces has remained largely unexplored. The functional metasurface sensor (MetaSPR), integrated with advanced microfluidic technology (3MSPR device), enables real-time monitoring antibodies three critical fields: precision diagnostics, drug development, expression process monitoring. MXene-MetaSPR, retaining layered structure high MXene, exhibits enhanced sensitivity through its synergistic interaction electromagnetic fields within nanoarrays. label-free IgG detection is increased by more than 250-fold, a limit 2.56 ng/mL. Experimental results demonstrate that this system capable detecting high-affinity (pM) binding between therapeutic targets. Additionally, it continuous during nanobody engineered bacteria, single antibody concentration analysis completed time scale minutes. 3MSPR device rapidly efficiently captures initial phase kinetic curves, facilitating precise affinity optimization efficiency.

Language: Английский

Citations

0