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COPD: current therapeutic interventions and future approaches.

Although long-acting bronchodilators have been an important advance for the management of chronic obstructive pulmonary disease (COPD), these drugs do not deal with the underlying inflammatory process. No currently available treatments reduce the progression of COPD or suppress the inflammation in small airways and lung parenchyma. Several new treatments that target the inflammatory process are now in clinical development. Some therapies, such as chemokine antagonists, are directed against the influx of inflammatory cells into the airways and lung parenchyma that occurs in COPD, whereas others target inflammatory cytokines such as tumour necrosis factor-alpha. Broad spectrum anti-inflammatory drugs are now in phase III development for COPD, and include phosphodiesterase-4 inhibitors. Other drugs that inhibit cell signalling include inhibitors of p38 mitogen-activated protein kinase, nuclear factor-kappaB and phosphoinositide-3 kinase-gamma. More specific approaches are to give antioxidants, inhibitors of inducible nitric oxide synthase and leukotriene B(4) antagonists. Other treatments have the potential to combat mucus hypersecretion, and there is also a search for serine proteinase and matrix metalloproteinase inhibitors to prevent lung destruction and the development of emphysema. More research is needed to understand the cellular and molecular mechanisms of chronic obstructive pulmonary disease and to develop biomarkers and monitoring techniques to aid the development of new therapies.

Administration, Inhalation↗

Organoids in translation: a bench-to-bedside framework for pancreatic cancer precision medicine.

INTRODUCTION: Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal malignancies with a 5-year survival rate of < 13%. Standard treatments such as FOLFIRINOX or gemcitabine/nab-paclitaxel yield modest response rates, underscoring the urgent need for precision oncology approaches. Patient-derived organoids (PDOs) preserve the genomic, phenotypic, and histopathological features of the source tumor and offer a promising platform for drug screening, biomarker development, and personalized therapy. However, a systematic evaluation of their translational capacities is lacking. METHODS: A systematic review was conducted according to the PRISMA 2020 guidelines (PROSPERO registration pending) using PubMed, EMBASE, and Cochrane CENTRAL (December 10, 2024) to identify English-language PDAC PDO studies that incorporated therapeutic testing. Ninety-five studies met the inclusion criteria. Data extraction captured >75 variables per study, including spanning culture methodology, therapeutic profiling, biomarker integration, and clinical correlation. A 13-domain weighted Translatability Scoring Framework adapted from Wehling et al. assessed predictive validity, biomarker strength, pharmacogenetics, and clinical trial alignment. Scores ranged from 0 to 5 and were categorized as good (>4.0), moderate (3.0-4.0), or low (<3.0) translational potential. RESULTS: Of the 95 studies, 70.5% have been published since 2021, reflecting the rapid growth in this field. The mean PDO generation success rate was 89.7%, with the primary tumor tissue being the predominant source (48.4%). Only 24.8% were directly linked to clinical trials and 5.3% incorporated multi-omic profiling. The median translatability score was 3.13 (range, 1.72-4.59): 45.3% of the studies had low translatability, 50.5% moderate, and only 4.2% had good translational potential. High-scoring studies consistently combine multi-omic biomarker platforms, in vivo validation, clinical outcome correlation, and prospective trial integration. Conversely, the weakest domains were pharmacogenetics, endpoint strategies, and biomarker validation, limiting their overall clinical relevance. CONCLUSIONS: PDOs have demonstrated strong feasibility and in vitro clinical correlation in PDAC; however, their clinical translation remains constrained by limited multi-omic integration, absence of pharmacogenomic modeling, and sparse clinical trial embedding. Standardization of protocols, adoption of harmonized and clinically relevant endpoints, and systematic incorporation of biomarker-driven co-clinical trial frameworks are urgently needed to transition PDOs from promising experimental surrogates to validating precision oncology tools capable of informing therapeutic decision-making in PDAC.

Humans↗

The emerging field of lipidomics.

The crucial role of lipids in cell, tissue and organ physiology is demonstrated by a large number of genetic studies and by many human diseases that involve the disruption of lipid metabolic enzymes and pathways. Examples of such diseases include cancer, diabetes, as well as neurodegenerative and infectious diseases. So far, the explosion of information in the fields of genomics and proteomics has not been matched by a corresponding advancement of knowledge in the field of lipids, which is largely due to the complexity of lipids and the lack of powerful tools for their analysis. Novel analytical approaches--in particular, liquid chromatography and mass spectrometry--for systems-level analysis of lipids and their interacting partners (lipidomics) now make this field a promising area of biomedical research, with a variety of applications in drug and biomarker development.

Animals↗

1,3-Butadiene, isoprene and chloroprene: reviews by the IARC monographs programme, outstanding issues, and research priorities in epidemiology.

1,3-Butadiene, isoprene and chloroprene have all been evaluated more than once by the IARC Monographs Programme on the Evaluation of Carcinogenic Risks to Humans, most recently in February 1998 (Volume 71). Summaries are available on-line at http://monographs.iarc.fr. 1,3-Butadiene is currently classified in Group 2A (probably carcinogenic to humans), on the basis of limited evidence for increased occupational cancer risk in humans plus sufficient evidence of carcinogenicity at multiple organ sites in rats and especially in mice exposed by inhalation. Four epidemiologic studies are available on cancer risk among workers exposed to 1,3-butadiene, one large study among styrene-butadiene rubber (SBR) workers, and one large and two small studies among 1,3-butadiene production workers. The results of the study of SBR workers suggest an association between butadiene exposure and leukaemia risk, which is consistent with the results of the large study of production workers. This latter study also suggested an increased risk of lymphoreticulosarcoma (ICD-8, 200). The major factors hampering the assessment of the available results are (i) possible misclassification of lymphoid and haematopoietic neoplasms, (ii) limitations in the assessment of past exposure (with the exception of the study of SBR workers) and (iii) a potential confounding effect of agents other than butadiene. Future research priorities include (i) the incorporation of newly developed biomarkers of exposure, (ii) the possible application of intermediate biomarkers, (iii) the replication of the study among SBR workers, possibly in Europe, and (iv) reanalysis of existing data in light of revisions of the classifications of leukaemias and lymphomas in the International Classification of Diseases for Oncology, Third Edition (2000). Isoprene is classified in Group 2B (possibly carcinogenic to humans), on the basis of sufficient evidence for carcinogenicity at multiple organ sites in both mice and rats, especially male mice, exposed by inhalation. No epidemiologic studies are available on cancer risk from occupational exposure to isoprene. Such studies could be conducted within the framework of existing or future studies of SBR workers, assuming that isoprene exposure can be disentangled from butadiene and styrene exposure. Chloroprene is classified in Group 2B on the basis of sufficient evidence for carcinogenicity at multiple organ sites in both mice and rats exposed by inhalation. Studies of chloroprene exposed workers now include chemical workers from the United States, China and Armenia as well as shoe workers from Russia. The results of the studies from China, Armenia and Russia suggest an excess risk of liver cancer. The risk of other neoplasms was not consistently increased. Limitations of available studies include possible bias from cohort enumeration, follow-up, and choice of reference population. In most studies the exposure assessment was poor, the possible confounding effect of co-exposures was not addressed and the statistical power was low. The pathology of the cases of liver cancer should be reviewed. Future research priorities include a replication of available studies in well-defined populations and the development of biomarkers of exposure.

Animals↗

Biomarkers in pediatric environmental health: a cross-cutting issue.

It is not yet known the extent to which the environment adversely affects the health of the developing individual. Difficulties in this determination are the problems of a) the assessment of exposure, b) the long latency of many diseases induced by the environment, c) the number of confounding exposures, and d) the extrapolation of animal models to critical stages of human development. Biomarkers have the potential to be quantitative dosimeters of exposure and biologic effective dose, as well as early warning signals of biologic effect. Biomarkers may document interindividual susceptibilities, as well as defining critical windows of exposure. To be useful, biomarkers need to be validated in terms of their specificity and sensitivity. Biomarkers are useful across all disciplines including asthma and respiratory problems, developmental neurotoxicity, childhood cancer, and endocrine disruptors. Biomarkers have not been developed nor used widely in pediatric environmental health. Research by our group and others has documented the validity of biomarkers in pediatric environmental health. Advances in the field of biomarkers may have important implications for the detection, prevention, and treatment of environmentally induced diseases in children. Ongoing validation of promising biomarkers should be a research priority.

Age Factors↗

Biomarkers of sepsis.

Sepsis is a highly heterogeneous clinical disorder currently characterized almost exclusively by the use of physiologic variables. A burgeoning interest in the potential descriptive role of biomarkers in sepsis holds the promise of transforming the diagnosis from a clinical one to a biologic one, and so permitting better evaluation and use of a spectrum of adjuvant therapies. Biomarkers provide information in one of three domains: diagnosis, prognosis, and monitoring of response to treatment. Their primary prognostic utility, however, is not in forecasting outcome, but in identifying patients who are more likely to benefit from (or be harmed by) a particular intervention. A proposed template for staging sepsis in a manner analogous to systems used in oncology provides a framework for evaluating sepsis biomarkers. The model stratifies patients on the basis of predisposition, insult, response, and organ dysfunction, generating the acronym PIRO. This brief review considers the methodologic basis for biomarker development and validation and situates some emerging sepsis biomarkers within the framework of the PIRO model.

Journal Article↗

Molecular biomarkers in drug development.

Arguably, the most immediately promising reverberation of the genomics era has been the application of biomarkers to drug development. The promise of applying biomarkers to early drug development is that they might aid in preclinical and early clinical decisions such as dose ranging, definition of treatment regimen, or even a preview of efficacy. Later in the clinic, biomarkers could be used to facilitate patient stratification, selection and the description of surrogate endpoints. Information derived from biomarkers should result in a better understanding of preclinical and clinical data, which ultimately benefits patients and drug developers. If the promise of biomarkers is realized, they will become a routine component of drug development and companions to newly discovered therapies.

Animals↗

Biomarker responses in European eel (Anguilla anguilla) exposed to persistent organic pollutants. A field study in the Vaccarès lagoon (Camargue, France).

A screening of relevant biomarkers was carried out in order to evaluate metabolic and cellular damages in European eels exposed to a non-point source contamination by persistent organic pollutants (POP) such as polycyclic aromatic hydrocarbons (PAH) and organochlorine compounds (OC) in a protected area, the Nature Reserve of Camargue (France). Investigations were focused on metabolic responses including detoxification mechanisms (biotransformation, antioxidant process), energy requirements and enzymatic membrane markers either involved in neuronal conduction (acetylcholinesterase, AChE) or in osmoregulation and energy metabolism (ATPases). The hepatic and muscular glycogen rates seemed to be suitable biomarkers as well as three hepatic activities involved in the protection against oxyradicals: catalase, glutathione peroxidase (SeGPx) and superoxide dismutases (SOD). The muscle and gill ATPases as well as the muscle and brain AChE showed more significant relevance in terms of biomarkers than the biotransformation enzymes: ethoxyresorufine-O-deethylase (EROD) and uridine diphospho-glucuronyl transferase (UDPGT). However, most of these enzymatic activities depend on numerous abiotic factors, which must be taken into account in such a biomarker assessment approach. Our study provides some conclusive elements to approve the use in situ of biomarkers developed from laboratory studies. It also raises a question regarding the location of contaminant impregnation in fish organ, in relation with age, development status or mode of contamination, and its influence on biomarker response. If the relevance of membrane indicators is confirmed, this study provides an original statement of the extent of the ecotoxicological threat for the aquatic species in a protected area, due to the occurrence of POP in the cell membranes.

Acetylcholinesterase↗

Contribution of genomics and proteomics in understanding the role of modifying factors in Parkinson's disease.

Parkinson's disease (PD) is a complex neurological disorder, characterized by selective degeneration of nigrostriatal dopaminergic neurons. It is a multi-factorial disease, contributed by a combination of age, genetic and environmental factors. Etiology of sporadic PD and mechanism underlying selective loss of dopaminergic neurons has not yet been clearly understood. Recent developments in genomics and proteomics have revolutionized the research on PD at genetic level. Differential gene expression patterns (DNA biochip technology), age-dependent complex genetic patterns (SNP genotyping), and protein expression profiles (proteomics) of PD patients have started providing the specific and rigorous molecular explanation and role of modifying factors in PD. Genomics and proteomics are further expected to help in developing biomarkers for diagnosis of early onset PD and also to develop valuable and potential therapeutic strategies for its treatment. In this review, we have discussed the progress made by genomics and proteomics, in understanding the role of modifying factors in PD.

Animals↗

Development of a Fit-For-Purpose Multi-Marker Panel for Early Diagnosis of Pancreatic Ductal Adenocarcinoma.

Pancreatic ductal adenocarcinoma (PDAC) suffers from a lack of an effective diagnostic method, which hampers improvement in patient survival. Carbohydrate antigen 19-9 (CA19-9) is the only FDA-approved blood biomarker for PDAC, yet its clinical utility is limited due to suboptimal performance. Liquid chromatography-mass spectrometry (LC-MS) has emerged as a burgeoning technology in clinical proteomics for the discovery, verification, and validation of novel biomarkers. A plethora of protein biomarker candidates for PDAC have been identified using LC-MS, yet few has successfully transitioned into clinical practice. This translational standstill is owed partly to insufficient considerations of practical needs and perspectives of clinical implementation during biomarker development pipelines, such as demonstrating the analytical robustness of proposed biomarkers which is critical for transitioning from research-grade to clinical-grade assays. Moreover, the throughput and cost-effectiveness of proposed assays ought to be considered concomitantly from the early phases of the biomarker pipelines for enhancing widespread adoption in clinical settings. Here, we developed a fit-for-purpose multi-marker panel for PDAC diagnosis by consolidating analytically robust biomarkers as well as employing a relatively simple LC-MS protocol. In the discovery phase, we comprehensively surveyed putative PDAC biomarkers from both in-house data and prior studies. In the verification phase, we developed a multiple-reaction monitoring (MRM)-MS-based proteomic assay using surrogate peptides that passed stringent analytical validation tests. We adopted a high-throughput protocol including a short gradient (<10&#xa0;min) and simple sample preparation (no depletion or enrichment steps). Additionally, we developed our assay using serum samples, which are usually the preferred biospecimen in clinical settings. We developed predictive models based on our final panel of 12 protein biomarkers combined with CA19-9, which showed improved diagnostic performance compared to using CA19-9 alone in discriminating PDAC from non-PDAC controls including healthy individuals and patients with benign pancreatic diseases. A large-scale clinical validation is underway to demonstrate the clinical validity of our novel panel.

Humans↗

Central nervous system drug development: an integrative biomarker approach toward individualized medicine.

Drug development for CNS disorders faces the same formidable hurdles as other therapeutic areas: escalating development costs; novel drug targets with unproven therapeutic potential; and health care systems and regulatory agencies demanding more compelling demonstrations of the value of new drug products. Extensive clinical testing remains the core of registration of new compounds; however, traditional clinical trial methods are falling short in overcoming these development hurdles. The most common CNS disorders targeted for drug treatment are chronic, slowly vitiating processes manifested by highly subjective and context dependent signs and symptoms. With the exception of a few rare familial degenerative disorders, they have ill-defined or undefined pathophysiology. Samples selected for treatment trials using clinical criteria are inevitably heterogeneous, and dependence on traditional endpoints results in early proof-of-concept trials being long and large, with very poor signal to noise. It is no wonder that pharmaceutical and biotechnology companies are looking to biomarkers as an integral part of decision-making process supported by new technologies such as genetics, genomics, proteomics, and imaging as a mean of rationalizing CNS drug development. The present review represent an effort to illustrate the integration of such technologies in drug development supporting the path of individualized medicine.

Animals↗

Translational Gap in Biomarker Discovery: Tumor Surface Markers Rarely Mirror Circulating Levels.

BACKGROUND: Tumor-associated cell surface proteins are frequently proposed as circulating biomarkers for colorectal cancer (CRC) based on their high tumor expression. However, many candidates identified through tissue-based analyses fail to translate into clinically useful biomarkers. We investigated the translational gap between tissue-level expression and circulating detectability in CRC, focusing on molecular subtypes defined by caudal-type homeobox&#xa0;2 (CDX2) expression. METHODS: Transcriptomic data from The Cancer Genome Atlas (TCGA) were analyzed to identify cell surface markers differentially expressed between CDX2-Low and CDX2-High CRCs. A clinical cohort of right-sided CRC patients was evaluated using paired tumor tissue and preoperative plasma samples. CDX2 expression was assessed by immunohistochemistry, and circulating concentrations of selected cell surface proteins were quantified using a multiplex ELISA platform. RESULTS: Several tumor-associated cell surface markers exhibited marked CDX2-dependent differences in tissue expression. However, for most markers, circulating plasma levels did not mirror tissue-level patterns. CEACAM1 was the sole marker demonstrating concordant CDX2-dependent differences in both tumor tissue and plasma, with significantly lower levels in CDX2-Low CRCs. In contrast, CEACAM5 showed a dissociation between tissue expression and circulating levels, despite analytical validation against serum carcinoembryonic antigen (CEA). CONCLUSIONS: Our findings demonstrate that tumor overexpression of cell surface markers does not necessarily translate into detectable circulating biomarkers. This translational disconnect underscores limitations of biomarker selection strategies based solely on tissue expression and highlights the importance of integrating systemic biology into biomarker development. While some tumor-associated proteins may lack utility as circulating biomarkers, they may still represent viable therapeutic targets in CRC.

CDX2↗

The role of radiotracer imaging in Parkinson disease.

Radiotracer imaging (RTI) of the nigrostriatal dopaminergic system is a widely used but controversial biomarker in Parkinson disease (PD). Here the authors review the concepts of biomarker development and the evidence to support the use of four radiotracers as biomarkers in PD: [18F]fluorodopa PET, (+)-[11C]dihydrotetrabenazine PET, [123I]beta-CIT SPECT, and [18F]fluorodeoxyglucose PET. Biomarkers used to study disease biology and facilitate drug discovery and early human trials rely on evidence that they are measuring relevant biologic processes. The four tracers fulfill this criterion, although they do not measure the number or density of dopaminergic neurons. Biomarkers used as diagnostic tests, prognostic tools, or surrogate endpoints must not only have biologic relevance but also a strong linkage to the clinical outcome of interest. No radiotracers fulfill these criteria, and current evidence does not support the use of imaging as a diagnostic tool in clinical practice or as a surrogate endpoint in clinical trials. Mechanistic information added by RTI to clinical trials may be difficult to interpret because of uncertainty about the interaction between the interventions and the tracer.

Biomarkers↗

Biological monitoring of risk of bladder cancer in persons occupationally exposed to aromatic amines.

Recent advances in molecular biology and toxicology have greatly contributed to the early diagnosis of biological changes which may evoke neoplasms. This paper reviews the issues regarding the screening of persons occupationally exposed to carcinogenic aromatic amines. The screening was designed for an early detection of bladder cancer by means of biochemical tests. The applied tests facilitated the estimation of the level of aromatic amines which penetrate an organism (biomarkers of exposure), early diagnosis of the biochemical disorders which may influence cancer development (biomarkers of early effects) and the detection of genetic predispositions which enhance risk of such disorders (biomarkers of susceptibility).

Amines↗

Biomarkers of tobacco exposure or harm: application to clinical and epidemiological studies. 25-26 October 2001, Minneapolis, Minnesota.

Adverse outcomes from tobacco use may take decades to develop. Biomarkers are measures that can be used in the early stages of tobacco use to assess exposure to tobacco toxins or to predict adverse health outcomes with which they are associated. Examples of biomarkers include specific chemical components of tobacco or their metabolites; early biochemical, histological, or physiological effects; and early health effects. Mechanistically relevant and quantitatively valid biomarkers are essential for assessing the ultimate impact of new products, treatments, preventive measures, and public health policies on tobacco-related disease. The tobacco industry's recent introduction of a variety of new tobacco products or devices with implied claims of reduced health risks highlights the need to develop methods for assessing their potential for benefit or harm. A wide variety of biomarkers for tobacco exposure or harm has been studied. Although many questions about their use remain unanswered, substantial data exist regarding their validity and utility. This conference reviewed both the general issues surrounding biomarker use and the current state of knowledge regarding the most widely studied and promising biomarkers.

Alkaloids↗

Biochemical/immunochemical biomarkers of osteoarthritis: utility for prediction of incident or progressive osteoarthritis.

In this brief review the authors endeavored to show how methods developed for molecular studies of the development, onset, and progression of OA have been used to develop biomarker assays that might be of use in the detection of incident OA and in progression of established OA (Fig. 2). These assays involve analyses of specific molecular products in body fluids that result from the cleavage and synthesis of molecules in specific skeletal tissues and from inflammatory processes associated with OA joint disease. These assays are proving to be of value in the detection, study, and treatment of OA, especially with respect to improving understanding of the pathology of the disease and how it can best be detected and managed. Such assays also offer the potential to develop much shorter, more efficient, and cost effective clinical trials for the evaluation of potential disease-modifying therapies for OA.

Biological Assay↗

Molecular profiling approaches for identifying novel biomarkers.

An unprecedented interest in biomarker development has arisen from the increasing use of genomic information and high-throughput technologies in the field of drug development. Monitoring global cellular responses to perturbation due to disease, drug treatment or toxicity is achieved using molecular profiling methods such as DNA microarrays, proteomics and metabonomics. Unique fingerprints composed of molecular changes are captured and subjected to interpretation with the goal of class discovery, comparison or prediction. Each fingerprint reflects a cumulative response of complex molecular interactions, and if these interactions can be significantly correlated to an end point, the molecular fingerprint may be qualified as a predictive biomarker. Furthermore, in cases where the predictive power of any single response or set of responses is statistically significant, a molecular fingerprint can provide novel information related to the underlying disease biology or mechanism of toxicity. There is an acute need for effective biomarkers in every phase of drug development, from discovery, to preclinical studies, through to clinical trials. The context in which these molecular biomarkers are used will depend upon the nature of the biological problem being addressed. This review will summarise experimental and computational efforts in the field of molecular profiling and discuss the significant challenges in interpreting molecular profiling data and qualifying novel transcriptional biomarkers.

Biomarkers↗

Biomarkers for human uptake and metabolic activation of tobacco-specific nitrosamines.

Tobacco-specific nitrosamines are a group of carcinogens formed from nicotine and related tobacco alkaloids. Two of these compounds, 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone (NNK) and N'-nitrosonornicotine, are believed to be involved as causative agents for cancers of the lung, oral cavity, esophagus, and pancreas associated with the use of tobacco products. The goal of the studies described here is to develop biomarkers which will allow us to understand the uptake, metabolic activation, and detoxification of these carcinogens in humans. Two metabolites of NNK, 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol and its glucuronide, have been identified and quantified in human urine. These metabolites allow assessment of NNK uptake in smokers, tobacco chewers, and people exposed to environmental tobacco smoke. NNK and N'-nitrosonornicotine form hemoglobin and DNA adducts upon metabolic activation by alpha-hydroxylation. These adducts release 4-hydroxy-1-(3-pyridyl)-1-butanone (HPB) upon hydrolysis. The released 4-hydroxy-1-(3-pyridyl)-1-butanone can be quantified by gas chromatography-mass spectrometry. A subset of smokers and most tobacco chewers have hemoglobin adduct levels which are higher than detected in nonsmokers. 4-Hydroxy-1-(3-pyridyl)-1-butanone-releasing DNA adducts are higher in lung tissue from smokers than from nonsmokers. These data indicate that some smokers and tobacco chewers are capable of metabolically activating NNK or N'-nitrosonornicotine to intermediates which bind to cellular macromolecules and are, therefore, at potentially higher risk for cancer development. The application of these biomarkers to studies on cancer induction by tobacco products is discussed.

Animals↗