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Wheat bran decreases aberrant crypt foci, preserves normal proliferation, and increases intraluminal butyrate levels in experimental colon cancer.

BACKGROUND: Dietary wheat bran protects against colon cancer, but the mechanism(s) of this effect is not known. Butyrate, produced by colonic bacterial fermentation of dietary polysaccharides, such as wheat bran, induces apoptosis and decreases proliferation in colon cancer cell lines. Whether similar effects occur in vivo is not well defined. We hypothesized that wheat bran's antineoplastic effects in vivo may be mediated in part by butyrate's modulation of apoptosis and proliferation. METHODS: Male F344 rats were fed wheat bran-supplemented or an isocaloric, isonitrogenous fiber-free diet. Rats were treated with one dose of the carcinogen azoxymethane or vehicle with sacrifice after 5 days (tumor initiation); or two doses (days O and 7) with sacrifice after 56 days (tumor promotion). Study variables included fecal butyrate levels and the intermediate biomarkers of colon carcinogenesis, aberrant crypt foci (ACF), and changes in crypt cell proliferation and apoptosis. RESULTS: During tumor initiation, wheat bran produced greater apoptosis (p = .01), a trend toward less proliferation, and preserved the normal zone of proliferation (p = .01). At tumor promotion, wheat bran decreased the number of ACF (proximal colon, p = .005; distal colon, p = .047) and maintained the normal proliferative zone. The fiber-free diet shifted the zone of proliferation into the premalignant pattern in both studies. Wheat bran produced significantly higher fecal butyrate (p = .01; .004, .00001) levels than the fiber-free diet throughout the tumor promotion study. CONCLUSIONS: Wheat bran increased apoptosis and controlled proliferation during tumor initiation and resulted in decreased ACF. Wheat bran's antineoplastic effects occurred early after carcinogen exposure, and were associated with increased fecal butyrate levels.

Animals↗

Environmental tobacco smoke: current assessment and future directions.

Scientific information on environmental tobacco smoke (ETS) is critically reviewed. Key areas addressed are: differences in chemical composition between mainstream smoke, sidestream smoke, and ETS; techniques for measurement of ETS; epidemiology; in vitro and in vivo toxicology; and chamber and field studies of perceptual or physiological effects. Questions concerning estimation of ETS exposure, suitability of various biomarkers, calculation of lifetime dose, control of confounding variables, use of meta-analysis, and the relationship between ETS concentrations and human responses all emphasize the need for additional research in order to assess potential effects of ETS on health or comfort.

Animals↗

Circulating antioxidants as determinants of the rate of biological aging in pigtailed macaques (Macaca nemestrina).

The effect of antioxidant activity on the rate of biological aging was studied in 39 pigtailed macaques (Macaca nemestrina) 7-30 years of age. Scores of seven antioxidant compounds (vitamins C and E, carotenoids, urate, bilirubin, ceruloplasmin, and albumin) were combined to produce an antioxidant variable (AOx) that was tested for correlation with a second composite variable, rate of biological aging (RBA). RBA was formed from seven physiological variables that met a stringent set of criteria as biomarkers of aging. Potential effects of disease on RBA and AOx were excluded by experimental design and by statistical control using a composite index of disease (Dis) that was based on four measures of clinical history and pathology. The study produced three salient findings: (1) there was a significant inverse relation between AOx and RBA (i.e., animals that had high AOx scores had low RBA scores and vice versa); (2) the relation was independent of Dis effects, and (3) there was no significant relation between AOx and Dis independent of RBA (i.e., the correlation between AOx and Dis was dependent on the correlation of AOx with RBA). These results further validated the RBA variable as a measure of the rate of biological aging and supported the concept that antioxidant activity influences both the rate of biological aging and vulnerability to disease.

Aging↗

Timing of peak troponin T and creatine kinase-MB elevations after percutaneous coronary intervention.

STUDY OBJECTIVE: The prognostic significance of elevations in creatine kinase-MB and troponin T (cTnT), which have been conventionally measured 6 to 8 h after percutaneous coronary intervention (PCI), has been established. However, the time to peak biomarker appearance in the circulation has not been defined and is the purpose of this pilot study. DESIGN: Nonrandomized, nonconsecutive patient cohort. SETTING: Clinical practice, Mayo Clinic, Rochester, MN. PATIENTS: Cohort (n = 57) undergoing elective PCI. INTERVENTIONS: cTnT and creatine kinase (CK)-MB measured at baseline, 2 h, 4 h, 8 h, and > or = 2 h (mean +/- SEM, 18 +/- 5 h) after PCI. MEASUREMENTS AND RESULTS: Postprocedure cTnT elevations were detected in 30 of 57 patients (53%). Of these, 4 of 30 patients (13%) had peak cTnT at 4 h (0.80 +/- 0.40 ng/mL), 5 of 30 patients (17%) had peak cTnT at 8 h (1.07 +/- 0.48 ng/mL), and 21 of 30 patients (70%) had peak cTnT at > or = 12 h (0.21 +/- 0.06 ng/mL); 22 of 30 patients received abciximab. Elevations in CK-MB occurred in 14 of 57 patients (25%). Of these, 3 of 14 patients (21%) demonstrated peak CK-MB at 2 h (18.5 +/- 7.9 ng/mL) and the remainder (11 of 14 patients, 79%) during the 12- to 20-h interval (20.2 +/- 4.4 ng/mL); 12 of 14 patients received abciximab. CONCLUSION: More cTnT than CK-MB elevations occur after PCI; however, both biomarkers demonstrate a longer time to peak value than anticipated in clinical practice. Early surveillance monitoring (< 12 h) does not detect peak biomarker levels, especially in patients with normal baseline values. If peak levels are to be used to determine prognosis, then longer time intervals should be used for post-PCI surveillance. The timing of peak elevations appears to be influenced by baselines values as well. Early elevations may reflect the conjoint effects of injury associated with the disease process and the intervention itself. These data suggest that a re-evaluation of surveillance monitoring to account for the variability reported and the influence of baseline elevations of biomarkers may improve the prognostic power of the measurements.

Aged↗

Pulmonary biomarkers in chronic obstructive pulmonary disease.

There has been increasing interest in using pulmonary biomarkers to understand and monitor the inflammation in the respiratory tract of patients with chronic obstructive pulmonary disease (COPD). In this Pulmonary Perspective we discuss the merits of the various approaches by reviewing the current literature on pulmonary biomarkers in COPD and underscore the need for more systematic studies in the future. Bronchial biopsies and bronchoalveolar lavage provide valuable information about inflammatory cells and mediators, but are invasive, so that repeated measurements have to be very limited in assessing any interventions. Induced sputum has provided considerable information about the inflammatory process, including mediators and proteinases in COPD, but selectively samples proximal airways and may not closely reflect distal inflammatory processes. Exhaled gases and breath condensate are noninvasive procedures, so repeated measurements are possible, but for some assays the variability is relatively high. There is relatively little information about how any of these biomarkers relate to other clinical outcomes, such as progression of the disease, severity of disease, clinical subtypes, or response to therapy. More information is also needed about the variability in these measurements. In the future, pulmonary biomarkers may be useful in predicting disease progression, indicating disease instability, and in predicting response to current therapies and novel therapies, many of which are now in development.

Biomarkers↗

[Lead: indicators of dose and effects on heme].

In the present study the role of the traditional biomarkers of exposure and effect on haeme system during lead exposure was analysed: the opportunity of introducing new biomarkers such as lead and delta-aminolevulinic acid in plasma was also evaluated, especially by considering the current levels of exposure. The population in study was constituted by 371 males owning to different production fields and selected by five national units. The results suggest caution in the use of lead in plasma as a biomarker of lead exposure in the biological monitoring procedures, mainly in reason of its great variability affecting in particular the sampling time and the pre-analytical treatment of the sample. The other biomarkers were well correlated between them and with the exposure biomarkers for lead in blood >300 microg/L, suggesting the BEI to which the protection of workers exposed to lead would be guaranteed (instead the actual of 600 microg/L).

Biomarkers↗

Measurement of inflammatory biomarkers in synovial tissue extracts by enzyme-linked immunosorbent assay.

We developed methods for measuring inflammatory biomarkers (cytokines, chemokines, and metalloproteinases) in synovial biopsy specimens from patients with rheumatoid arthritis (RA) and osteoarthritis (OA). Soluble extracts of synovial fragments were prepared with mild detergent and analyzed by enzyme-linked immunosorbent assay (ELISA) for interleukin 1beta (IL-1beta), IL-6, IL-8, tumor necrosis factor alpha (TNF-alpha), and matrix metalloproteinase 3. The optimal detergent was 0.1% Igepal CA-630, which interfered minimally with ELISA detection but extracted 80% of IL-6 from synovial tissue. Upon spiking, 81 to 107% of added biomarkers could be recovered. To determine within-tissue variability, multiple biopsy specimens from each RA synovial extract were analyzed individually. A resulting coefficient of variation of 35 to 62% indicated that six biopsy specimens per synovial extract would result in a sampling error of < or = 25%. Preliminary power analysis suggested that 8 to 15 patients per group would suffice to observe a threefold difference before and after treatment in a serial biopsy clinical study. The previously described significant differences in IL-1beta, IL-6, IL-8, and TNF-alpha levels between RA and OA could be detected, thereby validating the use of synovial extracts for biomarker analysis in arthritis. These methods allow monitoring of biomarker protein levels in synovial tissue and could potentially be applied to early-phase clinical trials to provide a preliminary estimate of drug efficacy.

Arthritis, Rheumatoid↗

Acute heart failure due to fulminant and giant cell myocarditis.

Acute or fulminant nonischemic, dilated cardiomyopathy (DCM) is an uncommon cause for heart failure with a highly variable prognosis that is in part dependent on histopathology and in part on clinical presentation. Once common causes of acute DCM are excluded using standard clinical tests, the specific inflammatory and infectious causes of DCM should be systematically evaluated and treated. Specific histopathologic forms include fulminant lymphocytic myocarditis, which has an excellent prognosis with standard heart failure care. By contrast, giant cell myocarditis, which may be fulminant or acute, has a poor prognosis and frequently requires heart transplantation or immunosuppression for long-term survival. Noninvasive tests that may support the diagnosis of fulminant or acute myocarditis include cardiac magnetic resonance imaging and biomarkers of cardiac injury. Certain clinical, hemodynamic, and echocardiographic variables predict risk of death or transplant in acute myocarditis. This article will compare the presentation, prognosis, and treatment options for several uncommon causes for acute heart failure and suggest certain clinical scenarios in which the likelihood of specific histopathologic disorders is high enough to warrant endomyocardial biopsy if noninvasive tests are inconclusive.

Acute Disease↗

Machine learning-ready genomic biomarkers: ATF3 polymorphisms predict postoperative analgesic demand through AI-compatible phenotyping.

PURPOSE: To determine whether ATF3 polymorphisms can serve as genetic biomarkers for machine learning-based precision analgesia by establishing a genotype-phenotype association suitable for predictive modeling of postoperative opioid requirements. METHODS: In a prospective cohort of 167 adults undergoing abdominal surgery, ATF3 SNPs rs3122721 and rs3125293 were genotyped. A structured dataset architecture was developed to represent genetic profiles as input features for supervised learning models, enabling translational analysis of genotype&#x2011;dependent opioid consumption over 72&#xa0;h. RESULTS: Patients with homozygous genotypes of the ATF3 SNPs had significantly higher opioid requirements than non&#x2011;carriers, despite reporting similar subjective pain scores. This consistent genotype&#x2011;dependent pattern provided a clinically relevant phenotype suitable for integration into predictive algorithms. CONCLUSION: ATF3 genotyping offers a promising biomarker for computationally informed precision analgesia. By linking genomic variability to clinically meaningful outcomes within a structured clinical and genomic framework, this approach supports the future development of risk-stratified clinical decision-support systems to optimize postoperative pain management.Trial registration ChiCTR1900021991, registered 30 April 2019. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at https://doi.org/10.1007/s13755-026-00480-9.

ATF3↗

Qualitative mapping of Barrett's metaplasia: a prerequisite for intervention trials.

BACKGROUND: Barrett's esophagus may present as a cellular mosaic with irregular longitudinal extensions of intestinal epithelium, spotty areas of dysplasia and other intermediate markers for cancer risk. It may not be possible to detect and reproducibly localize these findings with routine endoscopic biopsies. A more systematic biopsy protocol is necessary for chemopreventive studies to be feasible. METHODS: Utilizing an adapted upper endoscope that allows accurate evaluation of distance from the incisors and rotatory position, chromoendoscopy with toluidine blue and systematic mapping (4 quadrant jumbo biopsies at 1 cm intervals) were performed twice on 18 patients with Barrett's esophagus (second procedure 1 to 3 months after baseline study). All biopsy specimens were subjected to routine and immunohistochemical staining and flow cytometry to create baseline and follow-up maps for each patient. Eight of the 18 patients also underwent standard surveillance biopsies within 6 months of the systematic mapping procedures. RESULTS: Epithelium type was reproducibly identified with 94% accuracy on second endoscopic maps. Ploidy, p53, and Ki-67 status were also reproducibly identified on second endoscopic maps (97%, 89%, and 85%, respectively). Dysplasia was found in 7 of 18 patients at similar sites at each mapping procedure (3 patients with high-grade dysplasia, 4 with low-grade dysplasia). Five of the patients who had dysplasia on mapping had also undergone standard surveillance. Low-grade dysplasia was missed in 2 of 3 patients and 1 patient with high-grade dysplasia had only low-grade dysplasia detected with standard biopsies. CONCLUSIONS: Utilizing a modified gastroscope and this methodology, we reliably located sites of dysplasia and other biomarkers within a field of Barrett's esophagus. Patients had variable areas of dysplasia that were missed on standard endoscopic surveillance.

Adenocarcinoma↗

The next-generation biomarkers in early-stage triple negative breast cancer.

PURPOSE OF REVIEW: Despite maximal neoadjuvant chemoimmunotherapy, nearly 40% of early-stage triple-negative breast cancer (TNBC) patients fail to achieve pathological complete response, underscoring an urgent need for biomarkers capable of guiding treatment modulation. This review summarizes recent advances in tumor-infiltrating lymphocytes (TILs), circulating tumor DNA (ctDNA), and genomic signatures, exploring their potential integration into clinical decision-making. RECENT FINDINGS: TILs remain the most validated, cost-effective prognostic biomarker, although standardized scoring is still needed to overcome interobserver variability. ctDNA has emerged as a dynamic, real-time prognostic tool, with postneoadjuvant detection strongly predicting relapse and worse outcomes. Nonetheless, optimal sampling timing remains undefined. Genomic signatures, particularly TNBC-DX, provide standardized, reproducible prognostic information by integrating immune and proliferative gene expression. Emerging data suggest that combining these biomarkers may offer a complementary and synergistic effect. SUMMARY: Multibiomarker integration, supported by prospective validation and automated models, represents a promising approach to personalize treatment algorithms in early-stage TNBC, balancing efficacy and toxicity while guiding escalation and de-escalation strategies.

artificial intelligence↗

A longitudinal investigation of selected pesticide metabolites in urine.

As part of a longitudinal investigation of environmental exposures to selected chemical contaminants, concentrations of the pesticide metabolites 1-naphthol (INAP), 3,5,6-trichloro-2-pyridinol (TCPY), malathion dicarboxylic acid (MDA), and atrazine mercapturate (AM) were measured in repeated samples obtained from 80 individuals in Maryland during 1995-1996. Up to six urine samples were collected from each individual at intervals of approximately 8 weeks over a 1-year period (i.e., one sample per participant in each of six cycles). INAP (median=4.2 microg/l and 3.3 microg/g creatinine) and TCPY (median=5.3 microg/l and 4.6. microg/g creatinine) were present in over 80% of the samples, while MDA and AM were detected infrequently (6.6% and <1% of samples, respectively). Geometric mean (GM) concentrations of INAP in urine did not vary significantly among sampling cycles. In contrast, GM concentrations of TCPY were significantly greater in samples collected during the spring and summer of 1996 than in the preceding fall and winter. Repeated measurements of INAP and TCPY from the same individual over time were highly variable. The average range of INAP and TCPY concentrations from the same individual were approximately 200% and 50% greater than the respective population mean levels. Geometric mean (GM) TCPY concentrations differed significantly between Caucasian (n=42, GM=5.7 microg/g creatinine) and African-American (n=11, GM=4.0 microg/g) participants and among education levels, but were not significantly different among groups classified by gender, age, or household income. In future research, environmental measurements of the parent compounds and questionnaire data collected concurrently with the biomarker data will be used to characterize the determinants of variability in the urinary pesticide metabolite levels.

Adolescent↗

Differential sensitivity of three marine invertebrates to copper assessed using multiple biomarkers.

Understanding how biomarkers relate to each other on exposure to particular contaminants in different species is key to their widespread application in environmental management. However, few studies have systematically used multiple biomarkers in more than a single species to determine the variability of sublethal effects of a particular contaminant. In this study, three marine invertebrates, the shore crab Carcinus maenas, the common limpet Patella vulgata and the blue mussel Mytilus edulis, were exposed over 7 days in the laboratory to environmentally realistic concentrations of the priority pollutant copper. A combination of molecular, cellular and physiological biomarkers was measured in each organism to detect the toxic effects of copper. Biomarkers included lysosomal stability (neutral red retention), neurotoxicity (acetylcholinesterase activity), metabolic impairment (total haemolymph protein), physiological status (heart rate) and induction of protective metallothionein proteins. P. vulgata was the most sensitive to copper with significant effects measured in all biomarkers at concentrations of 6.1 microg Cu l(-1). In C. maenas, cellular and neurotoxic endpoints were affected significantly only at 68.1 microg Cu l(-1). Exposure to copper also induced metallothionein production in crabs. Over a 7-day exposure period, M. edulis was the most tolerant species to copper with significant effects being observed at the cellular level only at 68.1 microg Cu l(-1) . In all three species, cellular and neurotoxic pathways were more sensitive to disruption than physiological processes (protein and heart rate). Results illustrate how a suite of biomarkers applied to different sentinel species can provide a 'diagnosis of stress', whereby, effects at the molecular level can be used to interpret the level of physiological impairment of the organism.

Acetylcholinesterase↗

[Circulating proteinic biomarkers and breast cancer].

Circulating proteinic biomarkers are secreted by tumor cells or by their environmental cells and they have a variable specificity. In case of breast cancer, carcino-embryonic antigen (CEA) was for a long time the only circulating biomarker used. Nowadays, the most useful biomarkers measure circulating levels of fragments of MUC1-polymorphic epithelial mucin (MUC1-PEM): cancer antigen (CA) 15.3, mucin-like carcinoma-associated antigen (MCA), CA 27-29, CA 549... They are useful for general disease follow-up. Other circulating markers belonging to keratins (tissue polypeptide antigen, TPA, TPS or Cyfra 21.1) are correlated with proliferative activity of breast tumors. More recently, the measure of the c-erb B2 circulating part (extra cellular domain, ECD) was proposed as a prognostic biomarker for breast tumors with c-erb B2 overexpression. Moreover, the determination of urinary level of trefoil factor1 (PS2-TFF1) might be useful for the follow-up of hormonodependent breast cancers. The present review describes the clinical interest of these different circulating biomarkers in case of breast cancer, emphasizing their biological characteristics.

Antigens, Neoplasm↗

The role of specimen banking in risk assessment.

The risk assessment process is described with a focus on the hazard identification and dose-response components. Many of the scientific questions and uncertainties associated with these components are discussed, and the role for biomarkers and specimen banking in supporting these activities are assessed. Under hazard identification, the use of biomarkers in defining and predicting a) biologically adverse events; b) the progression of those events towards disease; and c) the potential for reversibility are explored. Biomarker applications to address high-to-low dose extrapolation and interindividual variability are covered under dose-response assessment. Several potential applications for specimen banking are proposed.

Biomarkers↗

Multicollinearity may lead to artificial interaction: an example from a cross sectional study of biomarkers.

Collinearity is the situation which arises in multiple regression when some or all of the explanatory variables are so highly correlated with one another that it becomes very difficult, if not impossible, to disentangle their influences and obtain a reasonably precise estimate of their effects. Suppressor variable is one of the extreme situations of collinearity that one variable can substantially increase the multiple correlation when combined with a variable that is only modestly correlated with the response variable. In this study, we describe the process by which we disentangled and discovered multicollinearity and its consequences, namely artificial interaction, using the data from cross-sectional quantification of several biomarkers. We showed how the collinearity between one biomarker (blood lead level) and another (urinary trans, trans-muconic acid) and their interaction (blood lead level* urinary trans, trans-muconic acid) can lead to the observed artificial interaction on the third biomarker (urinary 5-aminolevulinic acid).

Biomarkers↗

The role of different biomarkers (DNA, PCNA, apoptosis and karyotype) in prognostic evaluation of superficial transitional cell bladder carcinoma.

BACKGROUND: In order to clarify the variable behaviour of transitional cell bladder carcinomas (TCBC) with same clinico-pathologic pattern, we investigated the prognostic significance of various biomarkers (PCNA, DNA, apoptosis, karyotype). MATERIALS AND METHODS: We studied 177 superficial TCBC (stage T1) undergoing transurethral resection (TUR). Analysis of biological indicators was performed on serial paraffin sections: DNA by static cytometry, karyotype by fluorescence in situ hybridisation (FISH), PCNA and apoptosis by immunohistochemistry. RESULTS: The most salient results are represented by prevalence of diploidy (56%), a mean PCNA labeling index (PCNA-LI) of 8.2%, nonrandom trisomies and tetrasomies of chromosome 7, and a high presence of apoptosis (in 72% of cases). These data were not related to histological grading. Multivariate analysis showed that only PCNA-LI is a an independent prognostic marker for patient survival (p = 0.01). Besides, we observed a worse prognosis in the presence of both very high PCNA indices and low or absent apoptosis. CONCLUSIONS: The results of this study suggest that tumor prognostic potential in TCBC should be evaluated on the basis of the association between PCNA cell kinetics and cell apoptosis information.

Aged↗

Measuring tissue-based biomarkers by immunochromatography coupled with reverse-phase lysate microarray.

PURPOSE: There is a need for new technologies to study tissue-based biomarkers. The current gold standard, immunohistochemistry, is compromised by variability in tissue processing and observer bias. Reverse transcription-PCR (RT-PCR), immunocytochemistry, and reverse-phase lysate microarrays (RPM) are promising alternative technologies but have not yet been validated, or correlated, on the same patient-derived tissues. Furthermore, RPM is currently limited by time-consuming microdissection and low amounts of evaluable protein lysates. EXPERIMENTAL DESIGN: Metastatic melanoma was surgically excised from 30 patients and macroscopically dissected from surrounding stroma. Each specimen was processed by formalin-fixation (immunohistochemistry), cytospin (immunocytochemistry), or disaggreagation and enrichment (RT-PCR and RPM). The latter protocol uses immunochromatography to remove hematopoetic-derived cells, thus enriching for melanoma cells. Each sample was measured for the expression of gp100 or MART-1 normalized to actin. RESULTS: Immunochromatography coupled with RPM (I-RPM) is reproducible (r >/= 0.70) and, for gp100, correlates strongly with immunohistochemistry and immunocytochemistry (r = 0.78 and 0.76, respectively) and moderately with transcript levels, measured by RT-PCR (r = 0.61). In contrast, for MART-1, I-RPM correlates strongly with transcript level (r = 0.78) but only moderately strong correlations are noted with immunohistochemistry and immunocytochemistry (r = 0.64 and 0.59, respectively). In general, transcript levels show only moderately strong correlations with immunohistochemistry and immunocytochemistry (r = 0.41-0.64). CONCLUSION: I-RPM is a promising technology for quantitative grading of tissue biomarkers; however, antigen-dependent correlations are noted.

Antigens, Neoplasm↗