Pub Date : 2025-12-17DOI: 10.1016/j.abst.2025.12.007
Zhao Han , Bo Yang , Nanmei Liu , Cheng Xue
{"title":"Gut–kidney axis disruption by antibiotics: Dysbiosis, renal dysfunction and biomarker insights","authors":"Zhao Han , Bo Yang , Nanmei Liu , Cheng Xue","doi":"10.1016/j.abst.2025.12.007","DOIUrl":"10.1016/j.abst.2025.12.007","url":null,"abstract":"","PeriodicalId":72080,"journal":{"name":"Advances in biomarker sciences and technology","volume":"8 ","pages":"Pages 134-136"},"PeriodicalIF":0.0,"publicationDate":"2025-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145883358","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-16DOI: 10.1016/j.abst.2025.12.005
Shaifali Joshi, Kavita Munjal, Gautam Saxena, Havagiray R. Chitme
Hormonal abnormalities, insulin resistance, and chronic inflammation are the hallmarks of Polycystic Ovary Syndrome (PCOS), a prevalent endocrine condition affecting women of reproductive age. Oxidative stress is a key factor in the pathophysiology of PCOS, spurring interest in antioxidant-based treatment approaches. Many reproductive processes, including ovulation, endometrial decidualization, menstruation, oocyte fertilization, and the growth and implantation of an embryo, depend on oxidative stress (OS). Physiological quantities of reactive oxygen and nitrogen species, which function as redox signaling molecules to start and stop each phase, govern the menstrual cycle. Given that an excess of OS in comparison to antioxidants can result in gynecological illnesses, infertility, and reproductive problems, it is thought that a pathological rise in OS plays a role in the loss in female fertility. Antioxidants are therefore necessary for the best possible reproductive function in females. They aid in the hormonal control of vascular processes, support endometrial maturation by activating antioxidant signaling pathways such as Nrf2 and NF-κB, and contribute to oocyte metabolism. Free radicals can be directly neutralized by antioxidants, they can act as cofactors for enzymes essential to cell formation and differentiation, or they can improve the activity of already-existing antioxidant enzymes. Fertility may be increased by taking antioxidant supplements to address deficits. The functions of certain vitamins and flavonoids with antioxidant qualities in the processes of female reproduction are examined in this review.
{"title":"Protective effects of nutritional and polyphenolic supplementation in polycystic ovarian syndromes","authors":"Shaifali Joshi, Kavita Munjal, Gautam Saxena, Havagiray R. Chitme","doi":"10.1016/j.abst.2025.12.005","DOIUrl":"10.1016/j.abst.2025.12.005","url":null,"abstract":"<div><div>Hormonal abnormalities, insulin resistance, and chronic inflammation are the hallmarks of Polycystic Ovary Syndrome (PCOS), a prevalent endocrine condition affecting women of reproductive age. Oxidative stress is a key factor in the pathophysiology of PCOS, spurring interest in antioxidant-based treatment approaches. Many reproductive processes, including ovulation, endometrial decidualization, menstruation, oocyte fertilization, and the growth and implantation of an embryo, depend on oxidative stress (OS). Physiological quantities of reactive oxygen and nitrogen species, which function as redox signaling molecules to start and stop each phase, govern the menstrual cycle. Given that an excess of OS in comparison to antioxidants can result in gynecological illnesses, infertility, and reproductive problems, it is thought that a pathological rise in OS plays a role in the loss in female fertility. Antioxidants are therefore necessary for the best possible reproductive function in females. They aid in the hormonal control of vascular processes, support endometrial maturation by activating antioxidant signaling pathways such as Nrf2 and NF-κB, and contribute to oocyte metabolism. Free radicals can be directly neutralized by antioxidants, they can act as cofactors for enzymes essential to cell formation and differentiation, or they can improve the activity of already-existing antioxidant enzymes. Fertility may be increased by taking antioxidant supplements to address deficits. The functions of certain vitamins and flavonoids with antioxidant qualities in the processes of female reproduction are examined in this review.</div></div>","PeriodicalId":72080,"journal":{"name":"Advances in biomarker sciences and technology","volume":"8 ","pages":"Pages 118-133"},"PeriodicalIF":0.0,"publicationDate":"2025-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145883896","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-12DOI: 10.1016/j.abst.2025.12.004
Shreya Satyanarayan Bhat , Vidya Niranjan , Trilok Chandran , Spoorthi R. Kulkarni , Samridhi Makkar , Vishwam Dixit , Cherishma K. Subhasa , Adarsh Vishal
Alzheimer's disease (AD) is a progressive neurodegenerative disorder with limited early diagnostic options and no curative therapy. This study presents a multi-region transcriptomic and systems biology framework for the identification of robust biomarker genes and pharmacologically actionable targets in AD. Differential gene expression profiles from the entorhinal cortex, hippocampus, and frontal cortex were analyzed using three supervised machine learning algorithms: LASSO regression, Random Forest, and SVM-RFE to prioritize predictive biomarkers. Consensus genes demonstrated region-specific differential expression and moderate diagnostic accuracy (AUC up to 0.70). Functional enrichment revealed their roles in synaptic transmission, translational regulation, lysosomal acidification, and extracellular matrix remodeling, hallmarks of AD pathology. Protein–protein interaction networks and hub gene analyses further underscore the role of translational regulators, such as EIF3C and FAU. Transcription factor mapping (e.g., MEF2C, ZBTB18), miRNA targeting (e.g., miR-107, miR-195–5p), and drug–gene interaction analysis identified GABBR2 and COL5A2 as translationally relevant targets linked to approved or investigational drugs. This integrative study proposes a reproducible pipeline combining machine learning, regulatory network modeling, and pharmacogenomic mining to inform biomarker-driven drug repurposing in Alzheimer's disease.
{"title":"Multi-omics integration and machine learning reveal biomarker networks and therapeutic targets in Alzheimer's disease","authors":"Shreya Satyanarayan Bhat , Vidya Niranjan , Trilok Chandran , Spoorthi R. Kulkarni , Samridhi Makkar , Vishwam Dixit , Cherishma K. Subhasa , Adarsh Vishal","doi":"10.1016/j.abst.2025.12.004","DOIUrl":"10.1016/j.abst.2025.12.004","url":null,"abstract":"<div><div>Alzheimer's disease (AD) is a progressive neurodegenerative disorder with limited early diagnostic options and no curative therapy. This study presents a multi-region transcriptomic and systems biology framework for the identification of robust biomarker genes and pharmacologically actionable targets in AD. Differential gene expression profiles from the entorhinal cortex, hippocampus, and frontal cortex were analyzed using three supervised machine learning algorithms: LASSO regression, Random Forest, and SVM-RFE to prioritize predictive biomarkers. Consensus genes demonstrated region-specific differential expression and moderate diagnostic accuracy (AUC up to 0.70). Functional enrichment revealed their roles in synaptic transmission, translational regulation, lysosomal acidification, and extracellular matrix remodeling, hallmarks of AD pathology. Protein–protein interaction networks and hub gene analyses further underscore the role of translational regulators, such as EIF3C and FAU. Transcription factor mapping (e.g., MEF2C, ZBTB18), miRNA targeting (e.g., miR-107, miR-195–5p), and drug–gene interaction analysis identified GABBR2 and COL5A2 as translationally relevant targets linked to approved or investigational drugs. This integrative study proposes a reproducible pipeline combining machine learning, regulatory network modeling, and pharmacogenomic mining to inform biomarker-driven drug repurposing in Alzheimer's disease.</div></div>","PeriodicalId":72080,"journal":{"name":"Advances in biomarker sciences and technology","volume":"8 ","pages":"Pages 81-101"},"PeriodicalIF":0.0,"publicationDate":"2025-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145840356","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-03DOI: 10.1016/j.abst.2025.12.003
A. Shriraksha, V.R. Devaraj
Early-stage ovarian carcinoma exhibits heterogeneous molecular programming that influences tumor progression and therapeutic vulnerability. Using RNA-seq data from 96 tumors (GSE101108), we developed an integrative bioinformatics workflow that combines DESeq2, ssGSEA, and weighted gene co-expression network analysis (WGCNA) to identify autophagy-associated biomarkers and long non-coding RNA (lncRNA)- driven co-expression networks across FIGO stage I-II ovarian tumors. Differential expression analysis (DESeq2) identified 140 stage-dependent genes, with the lncRNA LOC105374020 emerging as the most upregulated transcript in FIGO II tumors. ssGSEA revealed elevated autophagy activity in FIGO II tumors, coinciding with the enrichment of MHC class I antigen-processing pathways, suggesting adaptive remodeling of immune surveillance. WGCNA uncovered a lncRNA-enriched module strongly correlating with autophagy intensity (r = 0.78, FDR = 1.8 × 10−19). Within this module, LOC105374020 displayed high intramodular connectivity, making it a potential regulator of early tumor adaptation. These results suggest lncRNAs embedded within autophagy-linked modules as candidate biomarkers of early progression and immune modulation. Collectively, this study outlines a systems-level framework integrating autophagy, immunity, and lncRNA regulation in early ovarian carcinoma. While the findings highlight promising biomarker candidates, additional external validation and functional assays will be essential to translate these signatures for prognostic or therapeutic use.
{"title":"Mapping autophagy-lncRNA co-expression networks in early ovarian carcinoma by stage-resolved transcriptomic modelling","authors":"A. Shriraksha, V.R. Devaraj","doi":"10.1016/j.abst.2025.12.003","DOIUrl":"10.1016/j.abst.2025.12.003","url":null,"abstract":"<div><div>Early-stage ovarian carcinoma exhibits heterogeneous molecular programming that influences tumor progression and therapeutic vulnerability. Using RNA-seq data from 96 tumors (GSE101108), we developed an integrative bioinformatics workflow that combines DESeq2, ssGSEA, and weighted gene co-expression network analysis (WGCNA) to identify autophagy-associated biomarkers and long non-coding RNA (lncRNA)- driven co-expression networks across FIGO stage I-II ovarian tumors. Differential expression analysis (DESeq2) identified 140 stage-dependent genes, with the lncRNA LOC105374020 emerging as the most upregulated transcript in FIGO II tumors. ssGSEA revealed elevated autophagy activity in FIGO II tumors, coinciding with the enrichment of MHC class I antigen-processing pathways, suggesting adaptive remodeling of immune surveillance. WGCNA uncovered a lncRNA-enriched module strongly correlating with autophagy intensity (r = 0.78, FDR = 1.8 × 10<sup>−19</sup>). Within this module, LOC105374020 displayed high intramodular connectivity, making it a potential regulator of early tumor adaptation. These results suggest lncRNAs embedded within autophagy-linked modules as candidate biomarkers of early progression and immune modulation. Collectively, this study outlines a systems-level framework integrating autophagy, immunity, and lncRNA regulation in early ovarian carcinoma. While the findings highlight promising biomarker candidates, additional external validation and functional assays will be essential to translate these signatures for prognostic or therapeutic use.</div></div>","PeriodicalId":72080,"journal":{"name":"Advances in biomarker sciences and technology","volume":"8 ","pages":"Pages 55-66"},"PeriodicalIF":0.0,"publicationDate":"2025-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145790328","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-02DOI: 10.1016/j.abst.2025.12.001
Tolutope Adebimpe Oso , Olalekan John Okesanya , Uthman Okikiola Adebayo , Khalifat Boluwatife Obadeyi , Oluwatobi Babajide Ayelaagbe , Mohamed Mustaf Ahmed , Clement Ngele Chukwu , Olaoluwa Joseph Oso , Don Eliseo Lucero-Prisno III
Background
Human Immunodeficiency Virus (HIV) and tuberculosis (TB) are major global health challenges, especially in sub-Saharan Africa and Southeast Asia, where their co-infection greatly increases illness and death. People living with HIV are far more likely to develop TB, and the interaction between the two infections worsens immune dysfunction and complicates management.
Methods
This systematic review followed PRISMA 2020 guidelines to assess the roles of Interferon-γ–induced Protein 10 (IP-10) and Soluble Cluster of Differentiation 14 (sCD14) as inflammatory biomarkers in HIV-TB co-infection. A comprehensive search of PubMed, Scopus, and Google Scholar was conducted for studies published between 2014 and 2024. Eligible interventional and observational studies involving adults with HIV-TB co-infection were included based on predefined inclusion criteria. Data extraction covered study characteristics, biomarker levels, and their associations with inflammation, disease progression, and clinical outcomes.
Results
Six studies met the inclusion criteria, all assessing IP-10, while only one measured sCD14. Most studies reported significantly elevated IP-10 levels in HIV–TB co-infected individuals, linking it to systemic inflammation, disease progression, and poor clinical outcomes, highlighting its potential as a predictive and prognostic biomarker. The single study evaluating sCD14 found increased levels indicating generalized immune activation but limited specificity for distinguishing Tuberculosis-Immune Reconstitution Inflammatory Syndrome , suggesting its broader role as a nonspecific marker of inflammation.
Conclusion
Although the current evidence base is limited, IP-10 shows promise as a diagnostic and prognostic biomarker, and sCD14 may complement its use as a marker of immune activation. Further large-scale, standardized studies are needed to validate these biomarkers in HIV–TB co-infection.
{"title":"Exploring the potential of IP-10 and sCD14 as inflammatory biomarkers in HIV–TB co-infection: a systematic review","authors":"Tolutope Adebimpe Oso , Olalekan John Okesanya , Uthman Okikiola Adebayo , Khalifat Boluwatife Obadeyi , Oluwatobi Babajide Ayelaagbe , Mohamed Mustaf Ahmed , Clement Ngele Chukwu , Olaoluwa Joseph Oso , Don Eliseo Lucero-Prisno III","doi":"10.1016/j.abst.2025.12.001","DOIUrl":"10.1016/j.abst.2025.12.001","url":null,"abstract":"<div><h3>Background</h3><div>Human Immunodeficiency Virus (HIV) and tuberculosis (TB) are major global health challenges, especially in sub-Saharan Africa and Southeast Asia, where their co-infection greatly increases illness and death. People living with HIV are far more likely to develop TB, and the interaction between the two infections worsens immune dysfunction and complicates management.</div></div><div><h3>Methods</h3><div>This systematic review followed PRISMA 2020 guidelines to assess the roles of Interferon-γ–induced Protein 10 (IP-10) and Soluble Cluster of Differentiation 14 (sCD14) as inflammatory biomarkers in HIV-TB co-infection. A comprehensive search of PubMed, Scopus, and Google Scholar was conducted for studies published between 2014 and 2024. Eligible interventional and observational studies involving adults with HIV-TB co-infection were included based on predefined inclusion criteria. Data extraction covered study characteristics, biomarker levels, and their associations with inflammation, disease progression, and clinical outcomes.</div></div><div><h3>Results</h3><div>Six studies met the inclusion criteria, all assessing IP-10, while only one measured sCD14. Most studies reported significantly elevated IP-10 levels in HIV–TB co-infected individuals, linking it to systemic inflammation, disease progression, and poor clinical outcomes, highlighting its potential as a predictive and prognostic biomarker. The single study evaluating sCD14 found increased levels indicating generalized immune activation but limited specificity for distinguishing Tuberculosis-Immune Reconstitution Inflammatory Syndrome , suggesting its broader role as a nonspecific marker of inflammation.</div></div><div><h3>Conclusion</h3><div>Although the current evidence base is limited, IP-10 shows promise as a diagnostic and prognostic biomarker, and sCD14 may complement its use as a marker of immune activation. Further large-scale, standardized studies are needed to validate these biomarkers in HIV–TB co-infection.</div></div>","PeriodicalId":72080,"journal":{"name":"Advances in biomarker sciences and technology","volume":"8 ","pages":"Pages 44-54"},"PeriodicalIF":0.0,"publicationDate":"2025-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145737013","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-28DOI: 10.1016/j.abst.2025.11.003
Gopinath G , Ramesha Hanumanthappa , Raifa Abdul Aziz , P.C. Kiran , Hemalatha Nanjaiah , Iranna B. Kotturshetty , Shamprasad Varija Raghu , Manjunath Ajanal , Devaraju Kuramkote Shivanna
Smritisagara Rasa (SSR), a traditional Ayurvedic herbo-mineral formulation, has long been prescribed for the treatment of Parkinson's disease (PD) since ancient times. Nevertheless, the underlying molecular mechanisms and treatment strategies remain unclear due to a lack of adequate experimental data. This study focused on formulating SSR and extracting its components using different solvent systems, including water and methanol. SSR, along with its water extract (SSR-WEX) and methanol extract (SSR-MEX), was tested for efficacy in mitigating PD phenotypes using a Rotenone (ROT)-induced Drosophila melanogaster PD model. SSR was prepared according to the Ayurvedic Formulary of India and subsequently characterized, followed by solvent extraction and phytoconstituent profiling. Different concentrations of SSR, SSR-WEX, and SSR-MEX were administered to control flies to evaluate their potential toxicity. Flies were then co-exposed to 500 μM ROT and 75 mg/kg diet of SSR, SSR-WEX, and SSR-MEX for seven days. Behavioral, neurochemical, and oxidative stress parameters were assessed, with pramipexole (PPX) used as a positive control. ROT exposure markedly impaired climbing ability, reduced dopamine and acetylcholinesterase (AChE) activity, and elevated oxidative stress markers, including malondialdehyde (MDA), protein carbonyl content (PCC), hydrogen peroxide, and nitric oxide. Co-treatment with SSR and its extracts significantly restored locomotor function, dopamine, and AChE levels, while enhancing antioxidant enzymes (glutathione-S-transferase and catalase) and reducing oxidative damage indices. Among the formulations, SSR-MEX demonstrated superior neuroprotective and antioxidative efficacy, comparable to the standard drug pramipexole. This effect is likely due to its enriched profile of flavonoids, coumarins, and phenolic acids. These findings substantiate traditional claims regarding SSR's role in mitigating neurodegenerative symptoms and highlight SSR-MEX as a promising phytopharmaceutical candidate for managing PD-like pathologies through attenuation of oxidative stress and restoration of dopaminergic and cholinergic systems.
Smritisagara Rasa (SSR)是一种传统的阿育吠陀草药矿物配方,自古以来就被用于治疗帕金森病(PD)。然而,由于缺乏足够的实验数据,潜在的分子机制和治疗策略仍不清楚。本研究的重点是制备SSR,并利用不同的溶剂体系,包括水和甲醇提取其成分。利用鱼藤酮(ROT)诱导的果蝇PD模型,研究了SSR及其水提取物(SSR- wex)和甲醇提取物(SSR- mex)对PD表型的缓解效果。根据印度阿育吠陀处方制备了SSR,并对其进行了表征,随后进行了溶剂提取和植物成分分析。用不同浓度的SSR、SSR- wex和SSR- mex对照蝇,评价其潜在毒性。然后将果蝇分别暴露于500 μM ROT和75 mg/kg的SSR、SSR- wex和SSR- mex中7天。以普拉克索(PPX)作为阳性对照,评估行为、神经化学和氧化应激参数。暴露于ROT环境中会显著损害攀爬能力,降低多巴胺和乙酰胆碱酯酶(AChE)活性,并升高氧化应激标志物,包括丙二醛(MDA)、蛋白质羰基含量(PCC)、过氧化氢和一氧化氮。与SSR及其提取物共处理可显著恢复运动功能、多巴胺和AChE水平,同时增强抗氧化酶(谷胱甘肽- s -转移酶和过氧化氢酶),降低氧化损伤指标。在这些制剂中,SSR-MEX表现出与标准药物普拉克索相当的优越的神经保护和抗氧化功效。这种效果可能是由于其富含类黄酮、香豆素和酚酸。这些发现证实了SSR在缓解神经退行性症状方面的作用,并强调了SSR- mex作为一种有前途的植物药物候选物,可以通过降低氧化应激和恢复多巴胺能和胆碱能系统来治疗pd样病理。
{"title":"Methanol extract of Smritisagara Rasa attenuates neurobehavior, neurochemical and stress indicators in rotenone-induced Drosophila model of Parkinson's disease","authors":"Gopinath G , Ramesha Hanumanthappa , Raifa Abdul Aziz , P.C. Kiran , Hemalatha Nanjaiah , Iranna B. Kotturshetty , Shamprasad Varija Raghu , Manjunath Ajanal , Devaraju Kuramkote Shivanna","doi":"10.1016/j.abst.2025.11.003","DOIUrl":"10.1016/j.abst.2025.11.003","url":null,"abstract":"<div><div>Smritisagara Rasa (SSR), a traditional Ayurvedic herbo-mineral formulation, has long been prescribed for the treatment of Parkinson's disease (PD) since ancient times. Nevertheless, the underlying molecular mechanisms and treatment strategies remain unclear due to a lack of adequate experimental data. This study focused on formulating SSR and extracting its components using different solvent systems, including water and methanol. SSR, along with its water extract (SSR-WEX) and methanol extract (SSR-MEX), was tested for efficacy in mitigating PD phenotypes using a Rotenone (ROT)-induced <em>Drosophila melanogaster</em> PD model. SSR was prepared according to the Ayurvedic Formulary of India and subsequently characterized, followed by solvent extraction and phytoconstituent profiling. Different concentrations of SSR, SSR-WEX, and SSR-MEX were administered to control flies to evaluate their potential toxicity. Flies were then co-exposed to 500 μM ROT and 75 mg/kg diet of SSR, SSR-WEX, and SSR-MEX for seven days. Behavioral, neurochemical, and oxidative stress parameters were assessed, with pramipexole (PPX) used as a positive control. ROT exposure markedly impaired climbing ability, reduced dopamine and acetylcholinesterase (AChE) activity, and elevated oxidative stress markers, including malondialdehyde (MDA), protein carbonyl content (PCC), hydrogen peroxide, and nitric oxide. Co-treatment with SSR and its extracts significantly restored locomotor function, dopamine, and AChE levels, while enhancing antioxidant enzymes (glutathione-S-transferase and catalase) and reducing oxidative damage indices. Among the formulations, SSR-MEX demonstrated superior neuroprotective and antioxidative efficacy, comparable to the standard drug pramipexole. This effect is likely due to its enriched profile of flavonoids, coumarins, and phenolic acids. These findings substantiate traditional claims regarding SSR's role in mitigating neurodegenerative symptoms and highlight SSR-MEX as a promising phytopharmaceutical candidate for managing PD-like pathologies through attenuation of oxidative stress and restoration of dopaminergic and cholinergic systems.</div></div>","PeriodicalId":72080,"journal":{"name":"Advances in biomarker sciences and technology","volume":"8 ","pages":"Pages 67-80"},"PeriodicalIF":0.0,"publicationDate":"2025-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145790329","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
ZIKV is a public health threat causing neurological complications such as microcephaly and Guillain-Barre syndrome, with the additional risk of sexual transmission. The absence of FDA-approved drugs or vaccines for ZIKV, highlight the immediate requirement for potential therapeutics. A potential target for antiviral drug development is the NS2B-NS3 protease which is a critical enzyme in the replication and maturation of ZIKV. Here, we report the inhibitory activity of tripeptide compounds for this protease via molecular docking and molecular dynamics (MD) study. The docking studies were further followed by a 200 ns MD simulation to investigate the stability and binding mode of the inhibitor within the active site of protease. The simulation revealed that, the complex remains stable with lower root mean square deviation RMSD and higher root mean square fluctuation (RMSF) values and showed strong ligand-protein interaction. Further investigation of torsion angles in the ligand and secondary structural changes in the protease support to the viability of these tripeptide inhibitors as anti-viral agents. The results obtained in this study suggest that tripeptide-derived inhibitors of ZIKV may be applied as potential leads for developing novel therapies against the ZIKV, indicating a potential direction for future drug discovery and clinical treatments.
{"title":"In silico screening of tripeptide inhibitors reveals potential lead compounds for targeting zika virus NS2B-NS3 protease","authors":"Farhan Ullah , Wajeeha Rahman , Anees Ullah , Shahid Ullah , Sheng Wang","doi":"10.1016/j.abst.2025.11.001","DOIUrl":"10.1016/j.abst.2025.11.001","url":null,"abstract":"<div><div>ZIKV is a public health threat causing neurological complications such as microcephaly and Guillain-Barre syndrome, with the additional risk of sexual transmission. The absence of FDA-approved drugs or vaccines for ZIKV, highlight the immediate requirement for potential therapeutics. A potential target for antiviral drug development is the NS2B-NS3 protease which is a critical enzyme in the replication and maturation of ZIKV. Here, we report the inhibitory activity of tripeptide compounds for this protease via molecular docking and molecular dynamics (MD) study. The docking studies were further followed by a 200 ns MD simulation to investigate the stability and binding mode of the inhibitor within the active site of protease. The simulation revealed that, the complex remains stable with lower root mean square deviation RMSD and higher root mean square fluctuation (RMSF) values and showed strong ligand-protein interaction. Further investigation of torsion angles in the ligand and secondary structural changes in the protease support to the viability of these tripeptide inhibitors as anti-viral agents. The results obtained in this study suggest that tripeptide-derived inhibitors of ZIKV may be applied as potential leads for developing novel therapies against the ZIKV, indicating a potential direction for future drug discovery and clinical treatments.</div></div>","PeriodicalId":72080,"journal":{"name":"Advances in biomarker sciences and technology","volume":"8 ","pages":"Pages 34-43"},"PeriodicalIF":0.0,"publicationDate":"2025-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145737011","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-17DOI: 10.1016/j.abst.2025.11.007
P. Karthika , M. Premkumar
Cervical cancer has an extreme effect on women's health worldwide, recognized as the 4th most significant contributor to cancer fatalities among female. World Health Organization (WHO) states that there was on 660,000 new reports and 350,000 death occurred. Detecting the disease early can lead to a significant decrease in the death rate up to 80 %. Currently, doctors diagnose cervical cancer by examining cervical biopsies through Pap smears and colposcopy images. However this techniques is time-intensive, taking up to several hours per case and susceptible to misdiagnosis and diagnostic error between 10 and 30 %.Deep learning has illustrated significant potential for addressing biomedical challenges such as analysis of medical images, disease forecasting, and image partitioning. AI-powered diagnostic methods utilizing deep learning models–such as CNNs, DenseNets, and U-Nets—have achieved classification accuracies exceeding 95 % on datasets like Herlev and SIPaKMeD. This paper surveys diverse deep learning strategies that were implemented for the identification and analysis of cervical carcinoma, emphasizing their performance metrics, datasets and clinical applicability.
{"title":"An in-depth exploration of CNN-based deep learning models in cervical carcinoma analysis","authors":"P. Karthika , M. Premkumar","doi":"10.1016/j.abst.2025.11.007","DOIUrl":"10.1016/j.abst.2025.11.007","url":null,"abstract":"<div><div>Cervical cancer has an extreme effect on women's health worldwide, recognized as the 4th most significant contributor to cancer fatalities among female. World Health Organization (WHO) states that there was on 660,000 new reports and 350,000 death occurred. Detecting the disease early can lead to a significant decrease in the death rate up to 80 %. Currently, doctors diagnose cervical cancer by examining cervical biopsies through Pap smears and colposcopy images. However this techniques is time-intensive, taking up to several hours per case and susceptible to misdiagnosis and diagnostic error between 10 and 30 %.Deep learning has illustrated significant potential for addressing biomedical challenges such as analysis of medical images, disease forecasting, and image partitioning. AI-powered diagnostic methods utilizing deep learning models–such as CNNs, DenseNets, and U-Nets—have achieved classification accuracies exceeding 95 % on datasets like Herlev and SIPaKMeD. This paper surveys diverse deep learning strategies that were implemented for the identification and analysis of cervical carcinoma, emphasizing their performance metrics, datasets and clinical applicability.</div></div>","PeriodicalId":72080,"journal":{"name":"Advances in biomarker sciences and technology","volume":"8 ","pages":"Pages 19-33"},"PeriodicalIF":0.0,"publicationDate":"2025-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145571865","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-15DOI: 10.1016/j.abst.2025.11.002
Kiptoo K. Cosmas , Silas Kiruki , Olivia A. Njiri , Grace K. Nyambati , John Mokua Mose , Omwenga Isaac , Alfred Orina Isaac , James Nyabuga Nyariki
Amoxicillin and cotrimoxazole are among the most frequently prescribed antibiotics, yet their impact on gut microbiota and systemic physiology, particularly during early life, remains a critical concern. This study investigated the effects of these antibiotics on the gut microbiome and associated physiological and biochemical responses in young male Swiss mice (5 weeks old), serving as a model for infant exposure. Five experimental groups were employed: control, amoxicillin (9.62 mg/kg), cotrimoxazole (15 mg/kg), cotrimoxazole + amoxicillin, and cotrimoxazole + amoxicillin followed by probiotic administration. Parameters assessed included gut microbial composition, hematological indices, organ weights, liver and kidney function, cytokine profiles, oxidative stress markers, and histopathological alterations. Both antibiotics induced marked gut dysbiosis. Cotrimoxazole significantly increased leukocyte, neutrophil, lymphocyte, and monocyte counts, while amoxicillin caused thrombocytosis and cotrimoxazole induced thrombocytopenia; probiotic treatment normalized these effects. Amoxicillin reduced brain glutathione (GSH) levels, whereas cotrimoxazole decreased GSH in both liver and brain. Combined antibiotic exposure exacerbated GSH depletion and elevated nitric oxide (NO) and malondialdehyde (MDA) levels, effects mitigated by probiotics exposure. Co-exposure to cotrimoxazole and amoxicillin upregulated pro-inflammatory cytokines TNF-α and IFN-γ and increased serum markers of hepatic and renal injury (alanine-transaminases, alkaline phosphatases, Aspartate transaminases, creatinine, urea, uric acid). Histopathological analysis confirmed aggravated hepatic and renal damage under combined antibiotic exposure, which was markedly alleviated by probiotics. These findings demonstrate that amoxicillin and cotrimoxazole disrupt gut microbial balance, eliciting systemic oxidative, organ damage and inflammatory responses. Probiotic intervention confers significant protection, underscoring the need for cautious antibiotic use and microbiota-restorative strategies.
{"title":"Amoxicillin and cotrimoxazole-driven dysbiosis disrupted blood cell levels, cytokine balance and induced oxido-nitrosative stress in young mice","authors":"Kiptoo K. Cosmas , Silas Kiruki , Olivia A. Njiri , Grace K. Nyambati , John Mokua Mose , Omwenga Isaac , Alfred Orina Isaac , James Nyabuga Nyariki","doi":"10.1016/j.abst.2025.11.002","DOIUrl":"10.1016/j.abst.2025.11.002","url":null,"abstract":"<div><div>Amoxicillin and cotrimoxazole are among the most frequently prescribed antibiotics, yet their impact on gut microbiota and systemic physiology, particularly during early life, remains a critical concern. This study investigated the effects of these antibiotics on the gut microbiome and associated physiological and biochemical responses in young male Swiss mice (5 weeks old), serving as a model for infant exposure. Five experimental groups were employed: control, amoxicillin (9.62 mg/kg), cotrimoxazole (15 mg/kg), cotrimoxazole + amoxicillin, and cotrimoxazole + amoxicillin followed by probiotic administration. Parameters assessed included gut microbial composition, hematological indices, organ weights, liver and kidney function, cytokine profiles, oxidative stress markers, and histopathological alterations. Both antibiotics induced marked gut dysbiosis. Cotrimoxazole significantly increased leukocyte, neutrophil, lymphocyte, and monocyte counts, while amoxicillin caused thrombocytosis and cotrimoxazole induced thrombocytopenia; probiotic treatment normalized these effects. Amoxicillin reduced brain glutathione (GSH) levels, whereas cotrimoxazole decreased GSH in both liver and brain. Combined antibiotic exposure exacerbated GSH depletion and elevated nitric oxide (NO) and malondialdehyde (MDA) levels, effects mitigated by probiotics exposure. Co-exposure to cotrimoxazole and amoxicillin upregulated pro-inflammatory cytokines TNF-α and IFN-γ and increased serum markers of hepatic and renal injury (alanine-transaminases, alkaline phosphatases, Aspartate transaminases, creatinine, urea, uric acid). Histopathological analysis confirmed aggravated hepatic and renal damage under combined antibiotic exposure, which was markedly alleviated by probiotics. These findings demonstrate that amoxicillin and cotrimoxazole disrupt gut microbial balance, eliciting systemic oxidative, organ damage and inflammatory responses. Probiotic intervention confers significant protection, underscoring the need for cautious antibiotic use and microbiota-restorative strategies.</div></div>","PeriodicalId":72080,"journal":{"name":"Advances in biomarker sciences and technology","volume":"8 ","pages":"Pages 1-18"},"PeriodicalIF":0.0,"publicationDate":"2025-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145571904","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-14DOI: 10.1016/j.abst.2025.11.005
Pipika Das , Riya Kar , Titli Panchali , Ananya Dutta , Manisha Phoujdar , Kuntal Ghosh , Shrabani Pradhan
Obesity is a condition of energy balance in which nutrient intake consistently exceeds energy expenditure, increasing the risk of various potentially fatal disorders. Docosapentaenoic acid (DPA) is an omega-3 fatty acid that has been reported to provide a number of health benefits. However, the effects of DPA on adipocyte differentiation are poorly understood. Linoelaidic acid (LA) is an isomer of linoleic acid that remains underexplored. The main aim of this investigation is to explore the role of linoelaidic acid and DPA ratio on lipid accumulation and AMPK pathway activation in 3T3-L1 cells. Differentiated adipocyte were treated with different ratio of fatty acids and performed cell viability assay, Oil Red O staining, gene expression and immunoblotting analysis. The fatty acids did not cause cytotoxicity in preadipocytes. Notably, DPA reduced lipid accumulation, suggesting its anti-adipogenic potential. Moreover, LA/DPA ratio also markedly increased the mRNA expression of genes associated with lipolysis, including peroxisome proliferator-activated receptor-α, carnitine palmitoyl transferase-1, adiponectin, and lipoprotein lipase, while inhibiting those involved in lipogenesis, such as leptin, sterol regulatory element binding protein-1c and fatty acid synthase. In addition, LA/DPA mixture strongly suppressed inflammation induced by TNF-α, IL-6, IL-1β. On mechanistic levels, LA/DPA in ratio of 1:1 and 4:1 regulates the AMPK signaling by reducing phosphorylation levels of PPAR-γ, C/EBP-α, acetyl-CoA carboxylase, and stearoyl-CoA desaturase. These findings demonstrated that LA and DPA in combination can prevent 3T3-L1 preadipocytes from differentiating, which implies it may be used therapeutically to prevent obesity.
{"title":"Mechanistic insights on effective ratio of Linoelaidic and Docosapentaenoic acid by modulating adipogenic and inflammatory biomarkers in 3T3-L1 preadipocytes","authors":"Pipika Das , Riya Kar , Titli Panchali , Ananya Dutta , Manisha Phoujdar , Kuntal Ghosh , Shrabani Pradhan","doi":"10.1016/j.abst.2025.11.005","DOIUrl":"10.1016/j.abst.2025.11.005","url":null,"abstract":"<div><div>Obesity is a condition of energy balance in which nutrient intake consistently exceeds energy expenditure, increasing the risk of various potentially fatal disorders. Docosapentaenoic acid (DPA) is an omega-3 fatty acid that has been reported to provide a number of health benefits. However, the effects of DPA on adipocyte differentiation are poorly understood. Linoelaidic acid (LA) is an isomer of linoleic acid that remains underexplored. The main aim of this investigation is to explore the role of linoelaidic acid and DPA ratio on lipid accumulation and AMPK pathway activation in 3T3-L1 cells. Differentiated adipocyte were treated with different ratio of fatty acids and performed cell viability assay, Oil Red O staining, gene expression and immunoblotting analysis. The fatty acids did not cause cytotoxicity in preadipocytes. Notably, DPA reduced lipid accumulation, suggesting its anti-adipogenic potential. Moreover, LA/DPA ratio also markedly increased the mRNA expression of genes associated with lipolysis, including peroxisome proliferator-activated receptor-α, carnitine palmitoyl transferase-1, adiponectin, and lipoprotein lipase, while inhibiting those involved in lipogenesis, such as leptin, sterol regulatory element binding protein-1c and fatty acid synthase. In addition, LA/DPA mixture strongly suppressed inflammation induced by TNF-α, IL-6, IL-1β. On mechanistic levels, LA/DPA in ratio of 1:1 and 4:1 regulates the AMPK signaling by reducing phosphorylation levels of PPAR-γ, C/EBP-α, acetyl-CoA carboxylase, and stearoyl-CoA desaturase. These findings demonstrated that LA and DPA in combination can prevent 3T3-L1 preadipocytes from differentiating, which implies it may be used therapeutically to prevent obesity.</div></div>","PeriodicalId":72080,"journal":{"name":"Advances in biomarker sciences and technology","volume":"8 ","pages":"Pages 102-117"},"PeriodicalIF":0.0,"publicationDate":"2025-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145840275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}