Published online May 7, 2026. doi: 10.3748/wjg.v32.i17.115984
Revised: December 3, 2025
Accepted: January 12, 2026
Published online: May 7, 2026
Processing time: 175 Days and 22.7 Hours
After four decades of intensive research, Helicobacter pylori (H. pylori), the gastric pathogen that fundamentally reshaped the understanding of peptic ulcer disease, remains notable resistance to standardized laboratory cultivation. This persistent technical challenge has significantly compromised reproducibility in both basic and clinical investigations. In a recent comparative study published in the World Journal of Gastroenterology, assessing ten liquid media across nine H. pylori strains, Kim et al demonstrated that growth efficiency and kinetic profiles are profoundly influenced by both medium composition and strain-specific characteristics. This commentary discusses the implications of these findings for microbial physiology, metabolic plasticity, and experimental reproducibility, arguing that the era of "precision microbiology" demands a more systematic and composition-driven approach to microbial cultivation. Reestablishing culture as a quantitative disci
Core Tip: Cultivating Helicobacter pylori (H. pylori) remains one of persistent challenges in microbiology due to its stringent nutritional and microaerophilic growth requirements. A recent comparative study across ten liquid media and nine H. pylori strains demonstrated that growth efficiency is highly dependent on both medium composition and strain-specific characteristics. Chopped meat carbohydrate broth, Columbia broth, and fastidious anaerobe broth supported significantly better growth than conventional Brucella broth. These findings underscore that culture media are not passive substrates but active determinants of microbial physiology. An ideal precision medium should be defined not only by its ability to support high biomass but also by its capacity to maintain H. pylori in its viable, spiral form. Such optimization may improve experimental reproducibility and facilitate advances in diagnostics, antimicrobial susceptibility testing, and vaccine development.
- Citation: Zhao CF, Xu XT, Ye SY, Liu TH, Xu ZF. Letter to the Editor: Rethinking Helicobacter pylori culture - toward precision media for a fastidious pathogen. World J Gastroenterol 2026; 32(17): 115984
- URL: https://www.wjgnet.com/1007-9327/full/v32/i17/115984.htm
- DOI: https://dx.doi.org/10.3748/wjg.v32.i17.115984
When Barry Marshall and Robin Warren first isolated Helicobacter pylori (H. pylori) in 1982, they challenged the prevailing belief that the human stomach constituted a sterile environment. Their groundbreaking discovery established a causal association between bacterial infection and peptic ulcer disease, fundamentally transforming the fields of gastroenterology and microbial pathogenesis[1]. However, despite decades of subsequent advancements, the cultivation of H. pylori remains technically demanding and highly sensitive to experimental conditions.
The bacterium's microaerophilic requirements, slow growth kinetics, and limited metabolic flexibility have contributed to notoriously inconsistent propagation across laboratories. To date, isolation from gastric biopsies fails in up to 30% of clinical specimens[2]. Solid media—commonly Brucella or Columbia agar supplemented with serum—remain the diagnostic standard; however, liquid culture systems are essential for physiological assays, antimicrobial susceptibility testing, and omics-scale analyses.
A systematic and comparative understanding of how culture medium composition influences growth across diverse H. pylori lineages has been notably lacking. Kim et al’s recent study[3] published in World Journal of Gastroenterology addressed this gap by systematically evaluating ten commonly used broths under controlled conditions, revealing significant interactions between strain identity and nutritional environment. These findings indicate a paradigm shift: H. pylori cultivation is not a solved challenge but a dynamic variable central to the interpretation of metabolic phenotypes.
Kim et al's study[3] systematically compared the performance of ten liquid media—Brucella broth (BB), brain heart infusion (BHI) broth, tryptic soy broth (TSB), Mueller-Hinton broth (MHB), Luria-Bertani broth (LB), Columbia broth (CB), fastidious anaerobe broth (FAB), chopped meat carbohydrate broth (CMCB), Eugon broth (EB) and Iso-Sensitest broth (ISB)—in cultivating H. pylori. Each medium was evaluated in triplicate across nine strains, including both reference and clinical isolates, with optical density monitored over a 72-hour period under microaerophilic conditions.
Notably, CMCB—originally designed for anaerobic organisms—emerged as the most supportive medium for H. pylori growth, followed by CB and FAB. In contrast, BB, long considered the "gold standard", yielded only moderate biomass accumulation. Importantly, all broths, including BB, were supplemented with 10% fetal bovine serum under standardized conditions, indicating that the superior performance of CMCB, CB, and FAB arises from intrinsic compositional advantages beyond serum supplementation alone. Nutrient-poor media such as LB and MHB proved markedly suboptimal, underscoring H. pylori’s reliance on peptide-rich, redox-buffered environments.
The enhanced growth observed in CMCB is likely attributable to its high concentrations of amino acids, peptides, and fermentable carbohydrates, along with strong buffering capacity. These components may better support H. pylori’s atypical carbon metabolism, which relies more on amino acid catabolism than on classical glycolytic pathways[4]. Thus, the optimal growth medium serves as a biochemical mirror of the organism’s physiology, emphasizing that nutritional requirements and metabolic function are integral and inseparable aspects of microbial identity.
The most striking finding of the study was the pronounced strain-specific variation in growth performance. While reference strains such as 26695 and J99 exhibited consistent growth across most media, clinical isolates displayed highly divergent growth preferences. Certain strains achieved maximal optical densities only in CMCB or FAB, whereas others showed growth stagnation in BB.
This variability reflects the remarkable genomic plasticity of H. pylori, a bacterium with a 1.6 Mb genome characterized by extensive recombination and horizontal gene transfer[5]. Strains adapted to distinct gastric microenvironments—such as acidic niches, mucosal gradients, or varying host dietary conditions—have evolved metabolic idiosyncrasies spanning amino acid utilization to iron acquisition. These genetic and physiological differences are phenotypically expressed as divergent culture requirements.
Moreover, these strain-specific growth profiles may not only reflect core metabolic capabilities but could also be linked to the presence of key virulence determinants. H. pylori strains carrying the cag pathogenicity island (particularly cagA+) or specific vacA alleles (s1/m1) are associated with heightened host inflammation and tissue damage[6,7]. This agg
The implications are profound: Laboratory culture conditions can shape, restrict, or even distort the representation of microbial diversity. Investigations comparing virulence gene expression or antimicrobial resistance across strains may inadvertently conflate biological differences with artifacts arising from suboptimal or non-standardized nutritional environments. Precision microbiology must therefore account not only for genetic heterogeneity but also for the me
Optical density measurements must be interpreted with caution, as elevated values primarily reflect total biomass accumulation and do not reliably distinguish between viable spiral forms and non-viable coccoid variants[9,10]. H. pylori is well documented to transition into a non-culturable coccoid state under suboptimal conditions or upon entry into stationary phase—a phenotypic shift that can be modulated by medium composition[11-13]. Consequently, while the higher optical density at 600 nm observed in CMCB, CB, and FAB indicates robust biomass production, the true efficacy of a precision medium should be evaluated by its capacity to sustain logarithmic-phase growth and maintain the spiral morphology critical for gastric colonization and pathogenicity. Future efforts in media optimization should incorporate viability assays (e.g., LIVE/DEAD staining) and standardized morphological assessment alongside optical density measurements to ensure that "good growth" corresponds to a physiologically relevant and experimentally reproducible bacterial population.
Reproducibility is a cornerstone of modern scientific inquiry. Yet in microbiology, the experimental environment is often treated as a neutral backdrop. Kim et al's findings[3] demonstrate that for H. pylori, culture medium composition exerts effects comparable in magnitude to genetic factors—shaping not only growth rates but also stress responses, cellular morphology (including the critical spiral-to-coccoid transition), and potentially gene expression patterns.
This insight aligns with broader reproducibility challenges in cell biology and immunology, where variations in serum composition, oxygen tension, and nutrient availability can profoundly influence cellular phenotypes. In metabolic microbiology, key sources of variability include culture media formulations and gas conditions. In the absence of standardized media and comprehensive metadata detailing culture chemistry, cross-laboratory comparability will remain unattainable.
Progress requires enhanced media transparency and modular standardization. Journals and data repositories should mandate full disclosure of nutrient sources, serum supplements, and gas mixtures used in experiments. Data on media optimization, frequently relegated to Supplementary materials, should be systematically curated and published to establish a shared reference framework analogous to established standards cell culture protocols.
The renewed focus on culture optimization aligns with an emerging paradigm in synthetic biology and microbiome research—toward rational, mechanism-based design of growth media. Advances in metabolomics, flux balance analysis (FBA), and machine learning now enable the prediction of nutrient requirements through genome-scale metabolic networks[14,15].
These computational tools are transforming our capacity to design optimized growth media from first principles. The process begins with the construction of genome-scale metabolic models (GEMs)—comprehensive computational reconstructions of an organism's entire metabolic network derived from its annotated genome. For a given H. pylori strain, a GEM integrates all known metabolic reactions, gene-protein associations, and biochemical constraints. Using methods such as FBA, researchers can simulate metabolites fluxes through this network in silico to predict growth outcomes across thousands of different nutrient conditions. This enables systematic identification of essential amino acids, carbon sources, and cofactors that maximize biomass yield. Moreover, machine learning algorithms can be trained on high-throughput experimental data—such as growth kinetics across hundreds of subtly varied media formulations—to uncover non-intuitive interactions and predict optimal nutrient combinations that may elude traditional hypothesis-driven approaches. By integrating genomic data (to construct the model), environmental data (e.g., gas conditions, pH), and empirical growth data (for validation and iterative refinement), predictive modeling transforms media development from a trial-and-error endeavor into a targeted, hypothesis-generating framework.
In this context, the empirical success of complex, nutrient-rich media like CMCB should not be viewed as an endpoint, but rather as a valuable discovery platform and a rich source of training data for computational models. Applying these approaches to H. pylori represents a critical next step toward deconstructing the "black box" nature of CMCB and elucidating the biochemical basis of its superior performance. Which specific peptides or carbon substrates within its mixture are indispensable? How do its reducing agents or redox buffers influence growth kinetics most effectively? Addressing these questions will shift the field from reliance on empirical formulations to a mechanistic understanding of the pathogen’s fundamental nutritional requirements. Such inquiries are now amenable to quantitative investigation. Defined media—currently rare for H. pylori—could ultimately replace undefined, complex mixtures, enabling precise modulation of metabolic pathways in infection modeling.
This transition—from empirical tradition to data-driven experimentation, from qualitative recipes to quantitative, evidence-based optimization—marks a conceptual advance in microbiology. Cultivation is no longer merely a pre
Beyond the research laboratory, optimized culture media have direct clinical implications. Enhanced liquid growth systems can improve the isolation rates of H. pylori from gastric biopsy specimens, particularly following antibiotic exposure or in cases of low-burden infection. These advancements may strengthen antimicrobial resistance surveillance at a time when resistance to clarithromycin and levofloxacin is undermining treatment efficacy worldwide[16].
This drive toward optimization is already evident in the development of newer, commercially available culture formulations specifically designed for H. pylori. Products such as BD™ Helicobacter Agar, modified exemplify this shift toward precision microbiology. Unlike traditional, laboratory-prepared Brucella or Columbia agars—which require manual supplementation with blood and antibiotics—these modern media are often pre-enriched with growth-promoting factors (e.g., starch), selective agents (e.g., antimicrobial cocktails), and defined supplements. Such standardization aims to reduce batch-to-batch variability inherent in in-house preparations, thereby enhancing reproducibility across clinical laboratories. Moreover, the optimized selective formulation in these agars improves microbial selectivity by more effectively suppressing competing oral and gastric flora, which enhances the sensitivity of primary isolation from clinical specimens by minimizing overgrowth. Although Kim et al[3] focused on liquid broths for biomass production, the core principle they highlight—that medium composition directly determines performance—is strongly supported by the diagnostic success of these advanced solid media.
Furthermore, broth composition significantly influences the outcomes of antibiotic susceptibility testing (AST), and this is impact extends beyond theoretical considerations. Numerous documented cases demonstrate that variations in medium composition lead to clinically significant shifts in minimum inhibitory concentration (MIC) values. For example, the concentration of divalent cations (e.g., Mg2+ and Ca2+) critically affects the activity of aminoglycosides and polymyxins by modulating their interaction with the bacterial outer membranes. A medium deficient in these ions may yield false-positive resistance results. Similarly, medium pH is critical: Macrolides (e.g., clarithromycin) and beta-lactams exhibit greater stability and activity at neutral to slightly alkaline pH, whereas acidic conditions can degrade these agents or diminish their efficacy, potentially masking true susceptibility. Additionally, the common practice of supplementing media with blood or serum introduces a complex mixture of proteins and lipids that may bind antibiotics—thereby reducing the free, pharmacologically active concentration of drugs such as tetracyclines—or provide alternative nutrients that alter bacterial growth kinetics and stress responses, indirectly impacting MIC determinations[17].
Beyond these physicochemical variables, the fundamental nutrient composition shapes the bacterial metabolic state. Rich, fastidious media such as CMCB or FAB may support such rapid growth, rendering bacteria more susceptible to cell-wall active agents (e.g., amoxicillin) due to increased peptidoglycan turnover. In contrast, nutrient-poor media may induce a slow-growing, persistent physiological state that mimics phenotypic tolerance. Therefore, the choice between BB, MHB (with or without blood), or enriched broths like those evaluated by Kim et al[3] is not methodologically neutral; it actively influences the phenotypic expression of antibiotic resistance. Inconsistent use of culture media may thus produce misleading MIC values, complicating both individual patient management and global surveillance initiatives. Given these profound and multifaceted effects, establishing consensus-based, well-characterized standards for both liquid and solid culture media is not merely advantageous but essential for reliable AST and the harmonization of international antimicrobial resistance reporting.
Finally, the ability to generate high-density H. pylori cultures under defined and reproducible conditions opens new avenues for vaccine development and high-throughput compound screening—applications historically constrained by low biomass yields in conventional broth systems.
The success of CMCB—a medium originally designed for anaerobic organisms—may initially seem paradoxical. How
In vivo, the bacterium utilizes amino acids such as glutamine, proline, and serine, employing a reversed tricarboxylic acid (TCA) cycle to balance energy production with redox homeostasis[7]. The high peptide content and reduced chemical environment of CMCB likely more accurately recapitulate these physiological conditions than standard Brucella-based media. This congruence between culture medium and native ecological niche underscores how rational, physiology-informed medium design can bridge the gap between experimental models and biological reality.
Understanding this metabolic interplay is critical for elucidating H. pylori pathogenesis. Bacterial persistence depends not only on immune evasion but also on metabolic adaptation to the host’s nutrient landscape. Future studies could integrate optimized culture systems with stable isotope probing or single-cell metabolomics to map metabolic fluxes during colonization, thereby linking in vitro culture chemistry to in vivo infection biology.
The next frontier in microbiology may lie not only in sequencing but also in cultivation as a rigorous, data-generating discipline. Each growth curve encodes information about metabolic constraints, environmental adaptation, and evolutionary history. By systematically varying media compositions and culture conditions, researchers can construct multidimensional response surfaces that reveal the functional topology of microbial physiology.
For H. pylori, this approach could enable the development of predictive models linking genomic content to culture performance—effectively establishing a form of "metabolic phenotype mapping". In the long term, integrating these data with host-derived metabolomic profiles may pave the way for personalized microbiology, in which bacterial strains are cultivated or therapeutically targeted based on their metabolic compatibility with specific host environments.
This precision framework has the potential to transform the culture dish from a passive vessel into a dynamic analytical instrument—one that functions as a functional microcosm of metabolic systems biology. This transformation is already evident in emerging platforms such as commercially formulated precision agars (e.g., BD™ Helicobacter Agar, Modified), 3D gastric organoid models, and patient-derived organoid systems. These tools not only support more physiologically relevant bacterial growth but also generate multidimensional data on bacterial behavior, host-pathogen interactions, and therapeutic responses. By integrating advanced cultivation systems, the field is moving toward a future in which in vitro culture serves as a predictive, data-rich proxy for in vivo biology.
Kim et al's comparative analysis[3] of H. pylori liquid media demonstrates that, even in the genomic era, growth—encompassing biomass accumulation, viability, and cellular morphology—remains the fundamental phenotypic trait. The study reframes cultivation as an experimental variable requiring systematic control and theoretical scrutiny.
The broader implication extends beyond a single pathogen: Microbiology must re-engage with its material foun
| 1. | Marshall BJ, Warren JR. Unidentified curved bacilli in the stomach of patients with gastritis and peptic ulceration. Lancet. 1984;1:1311-1315. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 3779] [Cited by in RCA: 3222] [Article Influence: 76.7] [Reference Citation Analysis (1)] |
| 2. | Graham DY. Helicobacter pylori update: gastric cancer, reliable therapy, and possible benefits. Gastroenterology. 2015;148:719-31.e3. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 373] [Cited by in RCA: 336] [Article Influence: 30.5] [Reference Citation Analysis (1)] |
| 3. | Kim SM, Rahaman MI, Bang CS, Lee S, Kim HW, Kim SW, Ahn JY, Jung HY, Kim YH, Gong EJ. Optimal liquid culture media for Helicobacter pylori: Strain-specific growth in different broth formulations. World J Gastroenterol. 2025;31:111876. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in RCA: 1] [Reference Citation Analysis (0)] |
| 4. | Keilberg D, Steele N, Fan S, Yang C, Zavros Y, Ottemann KM. Gastric Metabolomics Detects Helicobacter pylori Correlated Loss of Numerous Metabolites in Both the Corpus and Antrum. Infect Immun. 2021;89:e00690-e00620. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 3] [Cited by in RCA: 13] [Article Influence: 2.6] [Reference Citation Analysis (0)] |
| 5. | Suerbaum S, Josenhans C. Helicobacter pylori evolution and phenotypic diversification in a changing host. Nat Rev Microbiol. 2007;5:441-452. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 312] [Cited by in RCA: 279] [Article Influence: 14.7] [Reference Citation Analysis (0)] |
| 6. | Cover TL, Blaser MJ. Helicobacter pylori in health and disease. Gastroenterology. 2009;136:1863-1873. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 542] [Cited by in RCA: 497] [Article Influence: 29.2] [Reference Citation Analysis (0)] |
| 7. | Salama NR, Hartung ML, Müller A. Life in the human stomach: persistence strategies of the bacterial pathogen Helicobacter pylori. Nat Rev Microbiol. 2013;11:385-399. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 562] [Cited by in RCA: 503] [Article Influence: 38.7] [Reference Citation Analysis (0)] |
| 8. | Oleastro M, Ménard A. The Role of Helicobacter pylori Outer Membrane Proteins in Adherence and Pathogenesis. Biology (Basel). 2013;2:1110-1134. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 115] [Cited by in RCA: 119] [Article Influence: 9.2] [Reference Citation Analysis (0)] |
| 9. | Kusters JG, Gerrits MM, Van Strijp JA, Vandenbroucke-Grauls CM. Coccoid forms of Helicobacter pylori are the morphologic manifestation of cell death. Infect Immun. 1997;65:3672-3679. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 206] [Cited by in RCA: 197] [Article Influence: 6.8] [Reference Citation Analysis (0)] |
| 10. | Wang H, Gu CM, Xu S, Wang H, Zhao X, Gu L. Measurement of optical density of microbes by multi-light path transmission method. mLife. 2024;3:565-572. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 5] [Cited by in RCA: 9] [Article Influence: 4.5] [Reference Citation Analysis (0)] |
| 11. | Krzyżek P, Gościniak G. Morphology of Helicobacter pylori as a result of peptidoglycan and cytoskeleton rearrangements. Prz Gastroenterol. 2018;13:182-195. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 8] [Cited by in RCA: 18] [Article Influence: 2.3] [Reference Citation Analysis (0)] |
| 12. | Cellini L. Helicobacter pylori: a chameleon-like approach to life. World J Gastroenterol. 2014;20:5575-5582. [PubMed] [DOI] [Full Text] |
| 13. | Cheng T, Boneca IG. The shapeshifting Helicobacter pylori: From a corkscrew to a ball. Mol Microbiol. 2024;121:260-274. [RCA] [PubMed] [DOI] [Full Text] [Cited by in RCA: 12] [Reference Citation Analysis (0)] |
| 14. | Monk JM. Genome-scale metabolic network reconstructions of diverse Escherichia strains reveal strain-specific adaptations. Philos Trans R Soc Lond B Biol Sci. 2022;377:20210236. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 12] [Cited by in RCA: 8] [Article Influence: 2.0] [Reference Citation Analysis (0)] |
| 15. | Dunphy LJ, Papin JA. Biomedical applications of genome-scale metabolic network reconstructions of human pathogens. Curr Opin Biotechnol. 2018;51:70-79. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 30] [Cited by in RCA: 29] [Article Influence: 3.6] [Reference Citation Analysis (0)] |
| 16. | Thung I, Aramin H, Vavinskaya V, Gupta S, Park JY, Crowe SE, Valasek MA. Review article: the global emergence of Helicobacter pylori antibiotic resistance. Aliment Pharmacol Ther. 2016;43:514-533. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 652] [Cited by in RCA: 589] [Article Influence: 58.9] [Reference Citation Analysis (0)] |
| 17. | Jorgensen JH, Ferraro MJ. Antimicrobial susceptibility testing: a review of general principles and contemporary practices. Clin Infect Dis. 2009;49:1749-1755. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 913] [Cited by in RCA: 1015] [Article Influence: 59.7] [Reference Citation Analysis (0)] |
