Analytical science advances最新文献

{"title":"Liquid Chromatography Coupled With High-Resolution Mass Spectrometry Profiling of Metabolites in Cassia alata Flower Extracts and Their DPPH Free Radical Scavenging Activity","authors":"Adonai Yin-Anaab Kunduzore,&nbsp;Shakira Ibrahim,&nbsp;Auphedeous Yinme Dang-i,&nbsp;Michael Adu-Frimpong,&nbsp;Salma Elshamy,&nbsp;Nikolai Kuhnert,&nbsp;James Ziemah","doi":"10.1002/ansa.70114","DOIUrl":"https://doi.org/10.1002/ansa.70114","url":null,"abstract":"<p><i>Cassia alata</i> flowers remain phytochemically under-characterized relative to the leaves. However, floral tissues can harbour distinct and, in some species, more abundant phenolic and flavonoid profiles, representing an unexploited source of antioxidant phytochemicals with potential functional-food and nutraceutical relevance. Also, <i>Cassia alata</i> L. (Fabaceae) is a major source of numerous anthraquinones and flavonoids, yet the secondary metabolome of its floral tissues has not yet been thoroughly studied in comparison to its vegetative parts. This research therefore aimed to examine the phytoconstituents of <i>C. alata</i> flower extracts and evaluate their antioxidant potential. This represents, to our knowledge, the first liquid chromatography coupled with high-resolution tandem mass spectrometry (LC-HRMS/MS) and 2,2-diphenyl-1-picrylhydrazyl (DPPH)-based comparative profiling of <i>C. alata</i> flower extracts prepared with three solvents of differing polarity. Aqueous, 70% methanol, and 70% ethanol extracts of <i>C. alata</i> flowers were prepared and characterized using LC-HRMS in negative ionization mode. The antioxidant potential was determined using the DPPH radical scavenging assay. LC-HRMS enabled the tentative identification of 42 metabolites (in aqueous, methanolic, and ethanolic extracts), which were mainly flavonoids, phenolic acids, and glycosides. Some notable metabolites determined were Quercetin, Luteolin, Isomyricitin, Kaempferol-dihexoside, Kaempferol-<i>O</i>-rutinoside, and Sophoricoside. The DPPH assay showed that all the extracts exhibited free radical scavenging activity in a concentration-dependent manner. The ethanolic extract exhibited the strongest activity, with the lowest IC₅₀ value of 12.10 ± 2.22 µg/mL, followed by the aqueous extract, while the methanolic extract showed the weakest activity among the plant extracts. The observed antioxidant potential of the ethanolic extract may be associated with the wide diversity of tentatively identified flavonoid-related metabolites. These results suggest that <i>C. alata</i> flower extracts may serve as potential sources of antioxidant phytochemicals for food and health-related applications.</p>","PeriodicalId":93411,"journal":{"name":"Analytical science advances","volume":"7 2","pages":""},"PeriodicalIF":5.4,"publicationDate":"2026-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ansa.70114","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149205786","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predicting the Risk of Proteinuria Based on Blood Plasma Fourier-Transform Infrared Spectroscopy and Machine Learning Algorithms From Pregnant Women and Newborns","authors":"Camila Lopes Ferreira,&nbsp;Sara Maria Santos Dias da Silva,&nbsp;Luma Martins Aleixo de Oliveira,&nbsp;Vitórya Carvalho Pádua de Magalhães,&nbsp;Simone Lima Silva,&nbsp;Sheila Cavalca Cortelli,&nbsp;Rodrigo Augusto Silva,&nbsp;Jaqueline Maria Brandão Rizzato,&nbsp;Marcelo Saito Nogueira,&nbsp;Luís Felipe Das Chagas e Silva de Carvalho","doi":"10.1002/ansa.70110","DOIUrl":"https://doi.org/10.1002/ansa.70110","url":null,"abstract":"<p>Proteinuria, defined by an abnormally elevated concentration of proteins in the urine, serves as a critical biomarker for the early detection and diagnosis of preeclampsia. Elevated proteinuria levels adversely affect both maternal and foetal health, increasing the risk of preterm birth and low birth weight. This study focused on the identification of proteinuria in blood samples through Fourier-transform infrared (FTIR) spectroscopy as a diagnostic tool for real-time diagnosis. Blood plasma collected during birth was evaluated in four study groups: pregnant controls (<i>n</i> = 12), pregnant women with proteinuria (<i>n</i> = 13), newborn controls (<i>n</i> = 12), newborns with proteinuria (<i>n</i> = 14). First, attenuated total reflectance-FTIR spectra of plasma samples were collected for subsequent spectral smoothing, vector normalisation and machine-learning classification with various supervised machine learning algorithms, including several types of Support Vector Machine, K-Nearest Neighbours and decision trees. We obtained (76.1 ± 3.1)% accuracy, (72.1 ± 4.8)% sensitivity and (80.4 ± 3.8)% specificity for pregnant classification, and (90.6 ± 1.5)% accuracy, (83.3 ± 2.4)% sensitivity and (98.9 ± 1.6)% specificity for newborn classification. The vibrational modes corresponding to the predominant biochemical components in blood plasma of pregnant women and newborns were listed. Sensitivity and specificity results demonstrated that FTIR can be a promising tool for early diagnosis and monitoring of individual proteinuria. Although the proposed spectroscopic approach demonstrated promising diagnostic performance, the findings should be interpreted in light of clinical conditions that could affect the biochemical profile. Further studies involving larger and more heterogeneous populations are required to validate the proposed methodology.</p>","PeriodicalId":93411,"journal":{"name":"Analytical science advances","volume":"7 2","pages":""},"PeriodicalIF":5.4,"publicationDate":"2026-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ansa.70110","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149146427","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"GinorMass: A Tandem Mass Spectral Repository of 24 Million Spectra From One Molecule","authors":"Linh Hoang,&nbsp;Gary Siuzdak","doi":"10.1002/ansa.70107","DOIUrl":"https://doi.org/10.1002/ansa.70107","url":null,"abstract":"&lt;p&gt;Mass spectrometry (MS) repositories and reference libraries have become indispensable resources for metabolomics, exposomics, natural products research, and analytical chemistry [&lt;span&gt;1-6&lt;/span&gt;]. Recent computational advances now enable searching across billions of tandem mass spectra and spectral relationships within public repositories, representing a remarkable achievement in data indexing and retrieval. These advances have substantially expanded our ability to discover, compare, and reuse mass spectrometry data. However, repository scale should not be conflated with molecular knowledge. Spectral count and authenticated molecular identities represent fundamentally different quantities. Published descriptions of resources such as GNPS, MassBank, and HMDB routinely use the numbers of spectra, entries, datasets, or files to communicate scale [&lt;span&gt;3-6&lt;/span&gt;]. These metrics appropriately describe data volume, acquisition activity, and computational capability. However, spectral abundance, now often measured in the billions [&lt;span&gt;6&lt;/span&gt;], does not by itself reflect the number, diversity, or confidence of the underlying molecular identities. To make this distinction experimentally explicit, we created GinorMass, a publicly downloadable collection [https://masspec.scripps.edu/] of 23,971,300 MS/MS spectra acquired from a single authenticated molecular standard: arginine.&lt;/p&gt;&lt;p&gt;GinorMass clarifies what each dimension represents. Tandem mass spectra (MS/MS) are analytical observations, whereas authenticated molecular identities represent experimentally anchored molecular knowledge. Replicate measurements may characterise analytical variability and reproducibility, but they do not expand molecular coverage, which grows only when additional compounds are characterised and validated (Figure 1) [&lt;span&gt;7-10&lt;/span&gt;].&lt;/p&gt;&lt;p&gt;Arginine was selected as a stable, readily available, biologically relevant and well-characterised reference standard. At 20 eV in positive-ion mode, its spectrum contains five fragment ions, which fall within the typical range of fragments observed across the approximately 960,000 experimentally characterised molecules in METLIN [&lt;span&gt;2&lt;/span&gt;]. Arginine therefore provides a reasonable example under typical acquisition conditions. More importantly, GinorMass was designed to distinguish accumulation of spectral observations from expansion of authenticated molecular diversity.&lt;/p&gt;&lt;p&gt;The practical value of additional spectra depends on purpose. Replicates collected across instruments, laboratories, collision energies, or sample environments can improve characterisation of variability, robustness and transferability. For identification of a known compound under a fixed condition, however, additional spectra eventually become increasingly redundant. GinorMass makes both points visible: repeated spectra may deepen analytical characterisation of arginine, but they do not broaden the chemistry contained in the resource. Spectral divers","PeriodicalId":93411,"journal":{"name":"Analytical science advances","volume":"7 2","pages":""},"PeriodicalIF":5.4,"publicationDate":"2026-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ansa.70107","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149048519","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multimodal Analytical Platform Coupled With Biological Assays Unravels Tissue-Specific Chemical Profiles, Spatial Metabolite Distributions and Bioactivities of Root Xylem and Root Bark of Tripterygium wilfordii","authors":"Zhong Mou Zhang,&nbsp;Kai Ling Xu,&nbsp;Qing Zhang,&nbsp;Yong Qiang Lin,&nbsp;Feng Wei,&nbsp;Ya Dan Wang","doi":"10.1002/ansa.70112","DOIUrl":"https://doi.org/10.1002/ansa.70112","url":null,"abstract":"<p>Characterising chemical and biological differences among different tissues of medicinal plants is important for understanding their tissue-specific characteristics and medicinal efficacy. The root xylem (RX) and root bark (RB) of <i>Tripterygium wilfordii</i> have historically been used differently; however, the basis underlying their differential utilisation remains insufficiently characterised. In this study, complementary analytical measurements were integrated to compare the chemical and biological differences between the two root tissues across multiple dimensions. Ion fingerprinting revealed substantial overlap in the detected chemical features, with 81.09% of the ion features in the RX also detectable in the RB. Despite this high proportion of shared constituents, multivariate statistical analysis clearly separated the RX and RB, indicating significant differences in their overall ion abundance patterns. Mass spectrometry imaging further resolved tissue-specific distribution patterns, showing that alkaloids were mainly localised in the phloem, triterpenoids were enriched in the periderm, whereas diterpenoids exhibited broader distributions across the root tissues. Targeted quantitative analysis provided direct evidence for the differential abundance of metabolites, showing that multiple bioactive constituents, including triptolide, triptonide and celastrol, were present at considerably higher levels in the RB than in the RX. Biological evaluation further demonstrated that, compared with the RX, the RB exhibited stronger inhibition of lipopolysaccharide-induced nitric oxide production, albeit with higher cytotoxicity. Taken together, the complementary measurements confirmed that, although the RX and RB share a large number of chemical features, they differ markedly in overall metabolite abundance and spatial distribution, ultimately exhibiting distinct biological responses. This study established a multidimensional analytical framework for resolving tissue-specific chemical variation in complex medicinal plant materials and demonstrates its utility for integrating chemical profiling, spatial mapping, targeted quantification and biological evaluation.</p>","PeriodicalId":93411,"journal":{"name":"Analytical science advances","volume":"7 2","pages":""},"PeriodicalIF":5.4,"publicationDate":"2026-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ansa.70112","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149048144","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Automated Metadata Review to Support Result Release in Quantitative Liquid Chromatography Coupled With Tandem Mass Spectrometry Applications","authors":"Verena Endt,&nbsp;Katharina Habler,&nbsp;Michael Vogeser","doi":"10.1002/ansa.70111","DOIUrl":"10.1002/ansa.70111","url":null,"abstract":"<p>Quantitative multi-target analysis of biological samples using isotope-dilution liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS) is widely applied in laboratory diagnostics and life sciences now. These analyses generate a large amount of metadata (e.g. ion ratios, peak width, etc.) that must be reviewed before results can be released. Until now, these complex and time-consuming tasks are performed mainly by technicians without dedicated software support. To explore whether practical tools for supporting result validation and release can be developed using standard spreadsheet software. A script, named MS Excel-based evaluation macro (MSVal), was developed in Microsoft Excel. Data sets from the quantification software of an LC-MS/MS system are imported into this tool. Validation criteria as quality assurance rules for analytical series and individual samples are defined within MSVal. The tool's functionality was evaluated using datasets from cystic fibrosis transmembrane conductance regulator (CFTR)-modulator therapeutic drug monitoring (TDM) analytical series. After importing raw MS data, MSVal generates a list of results that meet predefined validation criteria. MSVal also produces a validation report for each analytical series. Results that do not meet validation criteria are highlighted and must be specifically addressed by the operator during the release process. MSVal was successfully tested with real-world datasets. The development of software applications to support validation and result release in quantitative isotope-dilution LC-MS/MS analysis is feasible using standard software. Further refinement and progression toward commercial solutions appear valuable to close a significant gap in the clinical application of mass spectrometry.</p>","PeriodicalId":93411,"journal":{"name":"Analytical science advances","volume":"7 2","pages":""},"PeriodicalIF":5.4,"publicationDate":"2026-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13590813/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149018945","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Non-Destructive Analysis of Phenolic and Flavonoid Contents in Medicinal Plant Powders Using Hyperspectral Imaging and Variable Selection","authors":"Rahul Joshi,&nbsp;Sushma Kholiya,&nbsp;Himanshu Pandey,&nbsp;Mahipal Singh,&nbsp;Ameeta Tiwari,&nbsp;Jinsu Lim,&nbsp;Ramaraj Sathasivam,&nbsp;Mohammad Akbar Faqeerzada,&nbsp;Sang Un Park,&nbsp;Byoung-Kwan Cho","doi":"10.1002/ansa.70099","DOIUrl":"10.1002/ansa.70099","url":null,"abstract":"<p>Phenolic and flavonoid contents in medicinal plants are essential to their growth and development and provide numerous health benefits, yet their quantification using traditional wet chemistry is labor-intensive and time-consuming. This study utilized the combination of two benchtop hyperspectral imaging (HSI) systems, namely short-wave infrared (SWIR) and visible near-infrared, for the non-destructive quantitative estimation of the phenolic and flavonoid contents present in 12 powder samples of medicinal plants. For quantitative analysis, partial least squares regression (PLSR) prediction models used several spectral preprocessing techniques. To further enhance performance, variable importance in projection (VIP) selected the most informative spectral variables and combined them with PLSR to improve predictions. The optimized VIP-PLSR models further improved the predictive performance, yielding coefficients of determination (<i>R</i>²) of 0.985 and 0.996 and even lower standard root mean square error of prediction values of 0.165 and 1.150 mg/g for the respective compounds. Additionally, chemical imaging provided a clear spatial visualization of both compounds within the samples. These results underscore the potential of SWIR-HSI combined with chemometrics as an effective tool for screening and quality control in medicinal plant powders.</p>","PeriodicalId":93411,"journal":{"name":"Analytical science advances","volume":"7 2","pages":""},"PeriodicalIF":5.4,"publicationDate":"2026-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13462912/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148727700","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Beyond Total Content: Assessing the Bioaccessibility of Metals in Tattoo Inks Using Validated Extraction Media","authors":"Maria Luisa Astolfi,&nbsp;Lorenzo Zara,&nbsp;Arianna Antonucci,&nbsp;Carmela Protano","doi":"10.1002/ansa.70103","DOIUrl":"10.1002/ansa.70103","url":null,"abstract":"<p>A validated analytical workflow is presented for determining total and bioaccessible concentrations of regulated elements in tattoo inks, addressing the lack of harmonized protocols for comparing extraction approaches in complex matrices. Although current legislation defines limits for soluble fractions of selected metals, it does not specify the extraction media to be used, despite the heterogeneous composition of tattoo inks potentially affecting metal mobility and release. Total elemental concentrations were determined after microwave-assisted acid digestion, while bioaccessible fractions were assessed using three in vitro extraction media: deionized water, artificial sweat and physiological saline. The analytical performance and reliability of the extraction procedures were validated. Elemental determinations were performed by ICP-MS and CV-AFS. The workflow showed good precision, reproducibility and comparability among extraction media, enabling systematic evaluation of matrix-dependent metal release. Commercial inks exhibited high variability in elemental composition depending on colour and formulation. Lead exceeded regulatory limits in several samples. Yellow inks were enriched in Ba, Cd and Zn, whereas blue inks showed higher concentrations of Cu, As, Pb and Sn. Bioaccessibility strongly depended on the extraction medium (<i>p</i> &lt; 0.05). Nickel reached 63% solubility in saline and 59% in artificial sweat in black inks, while Hg reached up to 72% in white inks. This approach links total elemental content to exposure-relevant bioaccessible fractions and supports more harmonized safety assessment and regulatory monitoring of tattoo inks.</p>","PeriodicalId":93411,"journal":{"name":"Analytical science advances","volume":"7 2","pages":""},"PeriodicalIF":5.4,"publicationDate":"2026-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13451626/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148698647","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Lipopolysaccharide-Specific Aptasensor: A Spectroscopic Approach for Identifying Gram-Negative Bacteria","authors":"Hamidreza Majidifard,&nbsp;Rahman Emamzadeh,&nbsp;Donald Keith Roper,&nbsp;Mahboobeh Nazari","doi":"10.1002/ansa.70104","DOIUrl":"10.1002/ansa.70104","url":null,"abstract":"<p>Differentiating bacteria into Gram-negative and Gram-positive categories is a standard method of identification in biological science and is essential for understanding bacterial characteristics. This study presents a novel aptasensor that integrates an anti-lipopolysaccharide (LPS) aptamer with a G-quadruplex-based DNAzyme. This aptasensor enables spectroscopy-based detection of LPS-containing Gram-negative bacteria. With a detection limit of approximately 2.7 × 10⁵ cells/mL for <i>Escherichia coli</i>, this aptasensor offers an efficient and straightforward solution for laboratory detection of Gram-negative bacteria.</p>","PeriodicalId":93411,"journal":{"name":"Analytical science advances","volume":"7 2","pages":""},"PeriodicalIF":5.4,"publicationDate":"2026-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13447715/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148690567","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Schiff Base-UiO66 Composite-based Dispersive Micro Solid-Phase Extraction of Pesticides From Fruit Juices Combined With Dispersive Liquid-Liquid Microextraction Prior to Gas Chromatography-Flame Ionisation Detection","authors":"Behnam Hosseininezhad,&nbsp;Mahdi Bomorovat,&nbsp;Mahboob Nemati,&nbsp;Mir Ali Farajzadeh,&nbsp;Ramin Atazadeh,&nbsp;Mohammad Reza Afshar Mogaddam","doi":"10.1002/ansa.70102","DOIUrl":"10.1002/ansa.70102","url":null,"abstract":"<p>A dispersive micro solid-phase extraction method was introduced using a Schiff base-UiO66 nanocomposite as the adsorbent in the extraction of multi-class pesticide residues in pear, cherry, grape, and apricot juices. The extraction procedure was hyphenated with a liquid-phase microextraction procedure, providing a high preconcentration factor and sensitive detection limit. During the extraction procedure, a small amount of the sorbent was added to the sample solution and dispersed via vortexing. Then, the sorbent particles were separated, and the adsorbed analytes were eluted by an appropriate water-miscible organic solvent, which was subsequently used for the preconcentration of the analytes in the following microextraction step. Gas chromatography-flame ionisation detector was utilised as a determination system. All effective factors were evaluated to obtain their optimum values, and then the method was validated. Low limits of detection (0.13–0.27 ng mL⁻¹) and low limits of quantification (0.43–0.89 ng mL⁻¹), acceptable extraction recoveries (59%–71%), high enrichment factors (295–355) and good relative standard deviations (≤10.1%) were the advantages of the method. Fortunately, application of the method on the studied samples showed that the fruit juices were free of the analytes.</p>","PeriodicalId":93411,"journal":{"name":"Analytical science advances","volume":"7 2","pages":""},"PeriodicalIF":5.4,"publicationDate":"2026-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13432960/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148671572","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identification of a Circular RNA as a Potential Diagnostic and Prognostic Biomarker in Breast Cancer Through Integrated Bioinformatic and Experimental Analyses","authors":"MohamadReza Hashemi,&nbsp;Pejman Morovat,&nbsp;Azin Khoshghiafeh,&nbsp;Novin Nikbakhsh,&nbsp;Mohamadreza Ahmadifard","doi":"10.1002/ansa.70098","DOIUrl":"https://doi.org/10.1002/ansa.70098","url":null,"abstract":"<p>Breast cancer (BC), which has complex molecular subgroups that contribute to a range of clinical outcomes, is still one of the top causes of morbidity and death among women globally. This challenge necessitates ongoing research to improve early detection, treatment strategies, and patient outcomes. Recent research has shown that circular RNAs (circRNAs) influence gene expression through various mechanisms, particularly by functioning as competing endogenous RNAs (ceRNAs). Moreover, numerous circRNAs have been implicated in the initiation and progression of various tumor types. Yet, the expression and functional roles of multiple circRNAs remain largely unexplored in specific cancers. In this study, circRNA expression data from three Gene Expression Omnibus datasets were analyzed to identify candidate circRNAs associated with BC. Reverse-transcription quantitative polymerase chain reaction (RT-qPCR) was performed to validate the candidate circRNAs in tissue samples from 24 BC patients. Using bioinformatic analyses, downstream target microRNAs and messenger RNAs of these circRNAs were probed for the construction of a ceRNA regulatory network. A combined number of 40 distinct circRNAs with differential expression were identified, among which hsa_circ_0000231 and hsa_circ_0011385 were selected based on their novelty and potential to function as ceRNAs, and a corresponding ceRNA network was built. RT-qPCR revealed that hsa_circ_0000231 is significantly upregulated in BC tissues compared to adjacent non-cancerous tissues. Additionally, based on bioinformatic investigations, hsa_circ_0000231/hsa-miR-5683/cyclin B1 regulatory axis was predicted. By combining cross-dataset computational screening with targeted experimental validation and diagnostic accuracy assessment, this study presents a systematic framework for translating high-throughput RNA data into quantifiable biomarker candidates with potential clinical relevance. These findings may contribute to the identification of a novel diagnostic and prognostic biomarker in BC.</p>","PeriodicalId":93411,"journal":{"name":"Analytical science advances","volume":"7 2","pages":""},"PeriodicalIF":5.4,"publicationDate":"2026-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ansa.70098","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148616298","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}