The prevalence of Type 2 diabetes mellitus (T2DM) is increasing worldwide and represents a major risk factor for the development of diabetic nephropathy (DN), a severe microvascular complication. Chronic hyperglycemia activates inflammatory and fibrotic signaling pathways, which contribute to kidney damage. Integrins, as transmembrane adhesion receptors, play pivotal roles in regulating inflammation, immune cell trafficking, and insulin resistance. This research focused on identifying non-invasive biomarkers for T2DM and DN using PBMCs. Differentially expressed genes related to diabetes were identified through the analysis of multiple datasets retrieved from the Gene Expression Omnibus, including GSE95849, GSE9006, GSE25724, and GSE159984. ITGB3 was identified as a common gene across these datasets, and its expression in DN was further examined using the GSE142025 dataset. Real-time PCR analysis of PBMC samples revealed a significant upregulation of ITGB3 expression in individuals with DN and T2DM compared to healthy controls. The TF2DNA and miRNASNPv3 databases identified 10 transcription factors and 10 variants of ITGB3 involved in 60 miRNA interactions. Additionally, the DGIdb database revealed 15 drugs potentially regulating ITGB3 expression. These findings underscore the importance of integrin-related pathways in diabetes and suggest ITGB3 as a promising target for future research and therapeutic development.
{"title":"ITGB3 as a promising non-invasive biomarker for type 2 diabetes and diabetic nephropathy","authors":"Seyed Amirhossein Hosseini , Parisa Ajorlou , Hasti Haddadian , Shahla Sohrabipour","doi":"10.1016/j.ab.2025.115965","DOIUrl":"10.1016/j.ab.2025.115965","url":null,"abstract":"<div><div>The prevalence of Type 2 diabetes mellitus (T2DM) is increasing worldwide and represents a major risk factor for the development of diabetic nephropathy (DN), a severe microvascular complication. Chronic hyperglycemia activates inflammatory and fibrotic signaling pathways, which contribute to kidney damage. Integrins, as transmembrane adhesion receptors, play pivotal roles in regulating inflammation, immune cell trafficking, and insulin resistance. This research focused on identifying non-invasive biomarkers for T2DM and DN using PBMCs. Differentially expressed genes related to diabetes were identified through the analysis of multiple datasets retrieved from the Gene Expression Omnibus, including <span><span>GSE95849</span><svg><path></path></svg></span>, <span><span>GSE9006</span><svg><path></path></svg></span>, <span><span>GSE25724</span><svg><path></path></svg></span>, and <span><span>GSE159984</span><svg><path></path></svg></span>. ITGB3 was identified as a common gene across these datasets, and its expression in DN was further examined using the <span><span>GSE142025</span><svg><path></path></svg></span> dataset. Real-time PCR analysis of PBMC samples revealed a significant upregulation of ITGB3 expression in individuals with DN and T2DM compared to healthy controls. The TF2DNA and miRNASNPv3 databases identified 10 transcription factors and 10 variants of ITGB3 involved in 60 miRNA interactions. Additionally, the DGIdb database revealed 15 drugs potentially regulating ITGB3 expression. These findings underscore the importance of integrin-related pathways in diabetes and suggest ITGB3 as a promising target for future research and therapeutic development.</div></div>","PeriodicalId":7830,"journal":{"name":"Analytical biochemistry","volume":"707 ","pages":"Article 115965"},"PeriodicalIF":2.5,"publicationDate":"2025-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144896119","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this contribution, a novel dual-function sustainable green nanozyme-mediated method for highly sensitive and selective H2O2 quantification and reusable rhodamine B biomineralization utilizing highly active MnFe2O4@CrFe2O4 nanocomposite with synergistic peroxidase-like activity was designed and developed. This method also introduced a sustainable approach for probing the analyte instead of exploiting prevalent carcinogenic nanozyme-based analytical probes, making it absolutely more sustainable than the conventional methods. The hydrogen peroxide biosensor acquired a linear range of 1–100 μM and a very low detection limit of 0.6 μM, along with an inter-day %RSD of 2.74 % and a highly selective response against coexisting materials. Ultimately, the sensor was employed for H2O2 quantification in milk, revealing a recovery of 96.1–102.8 %, %RSD = 1.4–3.6 %. Besides, the effective factors on decolorization yield were optimized, providing a high biomineralization yield of 99.4 % at optimal experimental conditions within a short time of 35.0 min. The breakthrough volume, storage stability, and reusability of the nanozymes were assessed, revealing a breakthrough volume of 5.0–1000 mL, a shelf-life of 20 days, and 70 % yield saving after 10 cycles. The method was applied for dye degradation in real water media, including river water, pool water, and tap water, revealing a high yield of over 95.4–99.5 %, %RSD = 1.8–4.2 %.
{"title":"A novel dual-function sustainable method for H2O2 determination and dye biomineralization utilizing peroxidase-like MnFe2O4@CrFe2O4 nanocomposite","authors":"Saeed Reza Hormozi Jangi , Masood Ranjoori , Anahita Barghi , Pardis Ahmadi","doi":"10.1016/j.ab.2025.115962","DOIUrl":"10.1016/j.ab.2025.115962","url":null,"abstract":"<div><div>In this contribution, a novel dual-function sustainable green nanozyme-mediated method for highly sensitive and selective H<sub>2</sub>O<sub>2</sub> quantification and reusable rhodamine B biomineralization utilizing highly active MnFe<sub>2</sub>O<sub>4</sub>@CrFe<sub>2</sub>O<sub>4</sub> nanocomposite with synergistic peroxidase-like activity was designed and developed. This method also introduced a sustainable approach for probing the analyte instead of exploiting prevalent carcinogenic nanozyme-based analytical probes, making it absolutely more sustainable than the conventional methods. The hydrogen peroxide biosensor acquired a linear range of 1–100 μM and a very low detection limit of 0.6 μM, along with an inter-day %RSD of 2.74 % and a highly selective response against coexisting materials. Ultimately, the sensor was employed for H<sub>2</sub>O<sub>2</sub> quantification in milk, revealing a recovery of 96.1–102.8 %, %RSD = 1.4–3.6 %. Besides, the effective factors on decolorization yield were optimized, providing a high biomineralization yield of 99.4 % at optimal experimental conditions within a short time of 35.0 min. The breakthrough volume, storage stability, and reusability of the nanozymes were assessed, revealing a breakthrough volume of 5.0–1000 mL, a shelf-life of 20 days, and 70 % yield saving after 10 cycles. The method was applied for dye degradation in real water media, including river water, pool water, and tap water, revealing a high yield of over 95.4–99.5 %, %RSD = 1.8–4.2 %.</div></div>","PeriodicalId":7830,"journal":{"name":"Analytical biochemistry","volume":"707 ","pages":"Article 115962"},"PeriodicalIF":2.5,"publicationDate":"2025-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144893536","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-08-14DOI: 10.1016/j.ab.2025.115963
Hui Tian , Xiuna Zhang , Chi Ma , Yidi Yang , Jing Fang , Fanna Qu , Lihong Yang
Bupleuri Radix is a widely used herbal plant, and its official source recognized by Chinese pharmacopoeia is the dried roots of Bupleurum chinense DC. or Bupleurum scorzonerifolium Willd. Although two species share core therapeutic functions, differences in the types of chemical components lead to different clinical applications. Currently, two species have not been distinguished in pharmacopeial standards. Therefore, we hypothesize prescribing them separately based on the pharmacological characteristics may provide better clinical efficacy. Additionally, Bupleurum marginatum Wall. ex DC. var stenophyllum (Wolff) Shan et Y. Li, and Bupleurum bicaule Helm were often misused as Bupleuri Radix. To address above issues, we developed species-specific PCR targeting ITS region. The observed fragments of 252bp, 183bp, 272bp and 165bp correspond to B. chinense, B. scorzonerifolium, B. marginatum var. stenophyllum, and B. bicaule respectively. The PCR exhibited strong discriminative capability, even when analyzing artificial adulterate samples. Furthermore, analysis of commercial samples validated the accuracy of the species information. In summary, the species-specific PCR enables accurate authentication of Bupleuri Radix and common adulterants in the market. It provides a practical tool for quality control of Bupleuri Radix and supports standardization of herbal medicine production.
柴胡是一种应用广泛的中草药植物,其官方来源为中国药典认可的柴胡干根。或柴胡,野柴胡。虽然两种植物共享核心治疗功能,但化学成分类型的差异导致了不同的临床应用。目前,药典标准中未对两种进行区分。因此,我们假设根据其药理特点分别处方可能会有更好的临床疗效。此外,柴胡壁。交货。var stenophyllum (Wolff) Shan et Y. Li和Bupleurum bicaule Helm经常被误用为柴胡根。为了解决上述问题,我们开发了针对ITS区域的物种特异性PCR。252bp、183bp、272bp和165bp的片段分别对应于B. chinense、B. scorzonerifolium、B. marginatum vars . stenophyllum和B. bicaule。即使在分析人工掺假样品时,PCR也表现出较强的判别能力。此外,对商业样本的分析验证了物种信息的准确性。综上所述,物种特异性PCR能够准确鉴别柴胡和市场上常见的掺假物。为柴胡的质量控制提供了实用的工具,为中草药生产的标准化提供了支持。
{"title":"Development of species-specific PCR for authentication of medicinal plant Bupleuri Radix and its common adulterants","authors":"Hui Tian , Xiuna Zhang , Chi Ma , Yidi Yang , Jing Fang , Fanna Qu , Lihong Yang","doi":"10.1016/j.ab.2025.115963","DOIUrl":"10.1016/j.ab.2025.115963","url":null,"abstract":"<div><div>Bupleuri Radix is a widely used herbal plant, and its official source recognized by Chinese pharmacopoeia is the dried roots of <em>Bupleurum chinense</em> DC. or <em>Bupleurum scorzonerifolium</em> Willd. Although two species share core therapeutic functions, differences in the types of chemical components lead to different clinical applications. Currently, two species have not been distinguished in pharmacopeial standards. Therefore, we hypothesize prescribing them separately based on the pharmacological characteristics may provide better clinical efficacy. Additionally, <em>Bupleurum marginatum</em> Wall. ex DC. var stenophyllum (Wolff) Shan et Y. Li, and <em>Bupleurum bicaule</em> Helm were often misused as Bupleuri Radix. To address above issues, we developed species-specific PCR targeting ITS region. The observed fragments of 252bp, 183bp, 272bp and 165bp correspond to <em>B. chinense, B. scorzonerifolium, B. marginatum</em> var. <em>stenophyllum, and B. bicaule</em> respectively. The PCR exhibited strong discriminative capability, even when analyzing artificial adulterate samples. Furthermore, analysis of commercial samples validated the accuracy of the species information. In summary, the species-specific PCR enables accurate authentication of Bupleuri Radix and common adulterants in the market. It provides a practical tool for quality control of Bupleuri Radix and supports standardization of herbal medicine production.</div></div>","PeriodicalId":7830,"journal":{"name":"Analytical biochemistry","volume":"707 ","pages":"Article 115963"},"PeriodicalIF":2.5,"publicationDate":"2025-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144858519","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-08-07DOI: 10.1016/j.ab.2025.115949
Jialong Tian , Pengli Lu , Huining Sha
Accurate identification of essential proteins is crucial in biomedical research. Traditional methods rely on Protein–Protein Interaction (PPI) networks and limited biological feature data, often neglecting the critical role of protein amino acid sequences. To address this, we propose the HCNS model, which integrates the Hypergraph Convolutional Network (HGCN) module, the Seq-CNN-MB-NAG feature extraction module, and the Multi-Layer Perceptron (MLP) recognition module, significantly enhancing the accuracy of essential protein identification. The HGCN module constructs a hypergraph from the PPI network and protein complex data, capturing the complex structural relationships between proteins. The Seq-CNN-MB-NAG module utilizes Convolutional Neural Networks (CNN), Multi-Head Self-Attention (MHSA), Bidirectional Long Short-Term Memory (Bi-LSTM), and NAG Transformer to process protein amino acid sequences and extract sequence features. The MLP module then fuses these two sets of features for precise recognition. Experimental results show that the HCNS model outperforms existing methods, achieving an accuracy of 93.38%, with an Area Under the Curve (AUC) of 98.33% and an Area Under the Precision–Recall Curve (AUPR) of 97.16%, demonstrating its potential in essential protein identification.
准确鉴定必需蛋白质在生物医学研究中至关重要。传统的方法依赖于蛋白质-蛋白质相互作用(PPI)网络和有限的生物学特征数据,往往忽略了蛋白质氨基酸序列的关键作用。为了解决这个问题,我们提出了HCNS模型,该模型集成了超图卷积网络(HGCN)模块、Seq-CNN-MB-NAG特征提取模块和多层感知器(MLP)识别模块,显著提高了必需蛋白质识别的准确性。HGCN模块利用PPI网络和蛋白质复合体数据构建超图,捕捉蛋白质之间复杂的结构关系。Seq-CNN-MB-NAG模块利用卷积神经网络(CNN)、多头自注意(MHSA)、双向长短期记忆(Bi-LSTM)和NAG Transformer处理蛋白质氨基酸序列并提取序列特征。然后,MLP模块融合这两组特征以进行精确识别。实验结果表明,HCNS模型的准确率为93.38%,曲线下面积(Area Under the Curve, AUC)为98.33%,精确召回曲线下面积(Area Under Precision-Recall Curve, AUPR)为97.16%,优于现有的方法,显示了其在必需蛋白鉴定中的潜力。
{"title":"HCNS:A deep learning model for identifying essential proteins based on hypergraph convolution and sequence features","authors":"Jialong Tian , Pengli Lu , Huining Sha","doi":"10.1016/j.ab.2025.115949","DOIUrl":"10.1016/j.ab.2025.115949","url":null,"abstract":"<div><div>Accurate identification of essential proteins is crucial in biomedical research. Traditional methods rely on Protein–Protein Interaction (PPI) networks and limited biological feature data, often neglecting the critical role of protein amino acid sequences. To address this, we propose the HCNS model, which integrates the Hypergraph Convolutional Network (HGCN) module, the Seq-CNN-MB-NAG feature extraction module, and the Multi-Layer Perceptron (MLP) recognition module, significantly enhancing the accuracy of essential protein identification. The HGCN module constructs a hypergraph from the PPI network and protein complex data, capturing the complex structural relationships between proteins. The Seq-CNN-MB-NAG module utilizes Convolutional Neural Networks (CNN), Multi-Head Self-Attention (MHSA), Bidirectional Long Short-Term Memory (Bi-LSTM), and NAG Transformer to process protein amino acid sequences and extract sequence features. The MLP module then fuses these two sets of features for precise recognition. Experimental results show that the HCNS model outperforms existing methods, achieving an accuracy of 93.38%, with an Area Under the Curve (AUC) of 98.33% and an Area Under the Precision–Recall Curve (AUPR) of 97.16%, demonstrating its potential in essential protein identification.</div></div>","PeriodicalId":7830,"journal":{"name":"Analytical biochemistry","volume":"707 ","pages":"Article 115949"},"PeriodicalIF":2.5,"publicationDate":"2025-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144809717","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-08-06DOI: 10.1016/j.ab.2025.115952
Tasmin Karim , Md Shazzad Hossain Shaon , Md Mamun Ali , Sobhy M. Ibrahim , Mst Shapna Akter , Kawsar Ahmed , Francis M. Bui , Li Chen , Mohammad Ali Moni
Protein S-nitrosylation (SNO) is a process involving the covalent modification of cysteine residues by nitric oxide (NO) and its derivatives. Numerous studies have demonstrated that SNO is significantly involved in cell function and pathophysiology. The identification of SNO sites is significant in clarifying their function in cellular physiology, disease processes, and potential treatment strategies, rendering it of paramount importance in medical science. This study developed a machine learning (ML) model named “K-SNOpred” and found notable performance in identifying SNO sites using the Latent Semantic Analysis (LSA) feature embedding system. After collecting dbSNO and RecSNO datasets from the literature search, we applied three feature embedding systems: Doc2vec, FastText, and LSA on each dataset. The study employed various ML models and assessed their performance using multiple evaluation metrics through independent testing and 10-fold cross-validation. The evaluation's outcomes demonstrate that the proposed model achieved an accuracy of 87.56 % and an AUC score of 95.06 %, outperforming existing state-of-the-art (SOTA) models by nearly 10 % in accuracy and 6 % in AUC. Furthermore, the model demonstrated balanced sensitivity and specificity, indicating its ability to detect both positive and negative SNO sites accurately. The outstanding performance of the K-SNOpred model demonstrates its high potential for clinical use and its applicability in the biotechnology field.
{"title":"K-SNOpred: Identification of protein S-nitrosylation sites through word embedding features and machine learning","authors":"Tasmin Karim , Md Shazzad Hossain Shaon , Md Mamun Ali , Sobhy M. Ibrahim , Mst Shapna Akter , Kawsar Ahmed , Francis M. Bui , Li Chen , Mohammad Ali Moni","doi":"10.1016/j.ab.2025.115952","DOIUrl":"10.1016/j.ab.2025.115952","url":null,"abstract":"<div><div>Protein S-nitrosylation (SNO) is a process involving the covalent modification of cysteine residues by nitric oxide (NO) and its derivatives. Numerous studies have demonstrated that SNO is significantly involved in cell function and pathophysiology. The identification of SNO sites is significant in clarifying their function in cellular physiology, disease processes, and potential treatment strategies, rendering it of paramount importance in medical science. This study developed a machine learning (ML) model named “K-SNOpred” and found notable performance in identifying SNO sites using the Latent Semantic Analysis (LSA) feature embedding system. After collecting dbSNO and RecSNO datasets from the literature search, we applied three feature embedding systems: Doc2vec, FastText, and LSA on each dataset. The study employed various ML models and assessed their performance using multiple evaluation metrics through independent testing and 10-fold cross-validation. The evaluation's outcomes demonstrate that the proposed model achieved an accuracy of 87.56 % and an AUC score of 95.06 %, outperforming existing state-of-the-art (SOTA) models by nearly 10 % in accuracy and 6 % in AUC. Furthermore, the model demonstrated balanced sensitivity and specificity, indicating its ability to detect both positive and negative SNO sites accurately. The outstanding performance of the K-SNOpred model demonstrates its high potential for clinical use and its applicability in the biotechnology field.</div></div>","PeriodicalId":7830,"journal":{"name":"Analytical biochemistry","volume":"707 ","pages":"Article 115952"},"PeriodicalIF":2.5,"publicationDate":"2025-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144803266","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this study, olfactory receptors (ORs) and Golf proteins fused with split luciferase were examined to develop a sensitive assay for identifying OR ligands. Although specific luminescence was observed from HEK293T cells expressing both fusion proteins (OR1A1-LgBiT and SmBiT-Mini-Golf) in response to an OR1A1 ligand, its intensity was low. To improve it, a fusion protein (V1N-G4S3-SmBiT-G4S3-Mini-Golf), was created where V1N contained the palmitoylation site necessary for localizing Mini-Golf to the cell membrane. When OR1A1-LgBiT and V1N-G4S3-SmBiT-G4S3-Mini-Golf were co-expressed in HEK293T cells, specific luminescence by ligand stimulation was considerably increased. The cell surface expression of OR1A1-LgBiT was markedly lower than that of OR1A1. Co-expression of receptor transporting protein 1 short form (RTP1S) promoted the cell surface expression of OR1A1-LgBiT more efficiently than OR1A1. Prediction using AlphaFold3 suggested that the N-terminal domain of RTP1S interacts with LgBiT in OR1A1-LgBiT. Co-expression of OR1A1-LgBiT, V1N-G4S3-SmBiT-G4S3-Mini-Golf, and RTP1S in HEK293T cells enhanced the sensitivity for detecting at least some ligands by 1000- to 3000-fold compared to the conventional cAMP assay. These findings suggest that optimizing the assembly of OR1A1-LgBiT and SmBiT-Mini-Golf at the cell membrane is essential for developing a sensitive assay. The OR response-detection system employing split luciferase holds significant potential for investigating ligands of orphan ORs.
{"title":"A sensitive split luciferase assay for detecting olfactory receptor response to odorants","authors":"Natsumi Tanazawa , Sho Obayashi , Shuji Hinuma , Shun'ichi Kuroda","doi":"10.1016/j.ab.2025.115954","DOIUrl":"10.1016/j.ab.2025.115954","url":null,"abstract":"<div><div>In this study, olfactory receptors (ORs) and Golf proteins fused with split luciferase were examined to develop a sensitive assay for identifying OR ligands. Although specific luminescence was observed from HEK293T cells expressing both fusion proteins (OR1A1-LgBiT and SmBiT-Mini-Golf) in response to an OR1A1 ligand, its intensity was low. To improve it, a fusion protein (V1N-G4S3-SmBiT-G4S3-Mini-Golf), was created where V1N contained the palmitoylation site necessary for localizing Mini-Golf to the cell membrane. When OR1A1-LgBiT and V1N-G4S3-SmBiT-G4S3-Mini-Golf were co-expressed in HEK293T cells, specific luminescence by ligand stimulation was considerably increased. The cell surface expression of OR1A1-LgBiT was markedly lower than that of OR1A1. Co-expression of receptor transporting protein 1 short form (RTP1S) promoted the cell surface expression of OR1A1-LgBiT more efficiently than OR1A1. Prediction using AlphaFold3 suggested that the N-terminal domain of RTP1S interacts with LgBiT in OR1A1-LgBiT. Co-expression of OR1A1-LgBiT, V1N-G4S3-SmBiT-G4S3-Mini-Golf, and RTP1S in HEK293T cells enhanced the sensitivity for detecting at least some ligands by 1000- to 3000-fold compared to the conventional cAMP assay. These findings suggest that optimizing the assembly of OR1A1-LgBiT and SmBiT-Mini-Golf at the cell membrane is essential for developing a sensitive assay. The OR response-detection system employing split luciferase holds significant potential for investigating ligands of orphan ORs.</div></div>","PeriodicalId":7830,"journal":{"name":"Analytical biochemistry","volume":"707 ","pages":"Article 115954"},"PeriodicalIF":2.5,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144798011","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-08-04DOI: 10.1016/j.ab.2025.115953
Jyoti Jaiswal, Ashish P. Singh, Rajeshwar P. Sinha
C-phycocyanin is a natural blue-colored pigment-protein complex existing as phycobiliprotein in cyanobacteria. C-phycocyanin is made up of two different subunits of α- and -β monomers. These subunits assemble to form a cylindrical structure known as phycocyanobilin chromophore. In the present study, C-phycocyanin was purified from the cyanobacterium Spirulina subsalsa HKAR-19 using ammonium sulfate precipitation followed by sucrose density gradient ultracentrifugation methods and characterized by various spectroscopic techniques. The purified C-phycocyanin showed an absorption peak at 615 nm. A characteristic fluorescence emission peak at 642 nm when excited over 615 nm, indicates the integrity and functionality of protein structure. The scavenging activity against free radicals of DPPH, ABTS, and superoxide (O2·−) was evaluated by using free radical scavenging assays. C-phycocyanin showed dose-dependent in vitro antioxidative properties towards free radicals. It possesses higher antioxidant activity toward ABTS•+ and DPPH•. Due to its high antioxidant activity, it can be used as a colorant and therapeutic agent against oxidative stress.
c -藻蓝蛋白是一种天然的蓝色色素蛋白复合物,以藻胆蛋白的形式存在于蓝藻细菌中。c -藻蓝蛋白由α-和-β单体的两个不同亚基组成。这些亚基组合形成一个圆柱形结构,称为藻蓝胆素发色团。本研究采用硫酸铵沉淀-蔗糖密度梯度超离心的方法从藻蓝杆菌下螺旋藻HKAR-19中纯化出c -藻蓝蛋白,并用各种光谱技术对其进行了表征。纯化后的c -藻蓝蛋白在615 nm处有吸收峰。在615 nm以上激发时,在642 nm处有一个特征荧光发射峰,表明蛋白质结构的完整性和功能性。通过自由基清除试验评估其对DPPH、ABTS和超氧化物(O2·−)自由基的清除活性。c -藻蓝蛋白对自由基的体外抗氧化性能表现出剂量依赖性。对ABTS•+和DPPH•具有较高的抗氧化活性。由于其高抗氧化活性,它可以用作着色剂和抗氧化应激治疗剂。
{"title":"Characterization and in vitro antioxidant activity of C-phycocyanin from the cyanobacterium Spirulina subsalsa HKAR-19","authors":"Jyoti Jaiswal, Ashish P. Singh, Rajeshwar P. Sinha","doi":"10.1016/j.ab.2025.115953","DOIUrl":"10.1016/j.ab.2025.115953","url":null,"abstract":"<div><div>C-phycocyanin is a natural blue-colored pigment-protein complex existing as phycobiliprotein in cyanobacteria. C-phycocyanin is made up of two different subunits of α- and -β monomers. These subunits assemble to form a cylindrical structure known as phycocyanobilin chromophore. In the present study, C-phycocyanin was purified from the cyanobacterium <em>Spirulina subsalsa</em> HKAR-19 using ammonium sulfate precipitation followed by sucrose density gradient ultracentrifugation methods and characterized by various spectroscopic techniques. The purified C-phycocyanin showed an absorption peak at 615 nm. A characteristic fluorescence emission peak at 642 nm when excited over 615 nm, indicates the integrity and functionality of protein structure. The scavenging activity against free radicals of DPPH, ABTS, and superoxide (O<sub>2</sub>·<sup>−</sup>) was evaluated by using free radical scavenging assays. C-phycocyanin showed dose-dependent <em>in vitro</em> antioxidative properties towards free radicals. It possesses higher antioxidant activity toward <em>ABTS</em><sup>•+</sup> and <em>DPPH</em><sup>•</sup>. Due to its high antioxidant activity, it can be used as a colorant and therapeutic agent against oxidative stress.</div></div>","PeriodicalId":7830,"journal":{"name":"Analytical biochemistry","volume":"706 ","pages":"Article 115953"},"PeriodicalIF":2.5,"publicationDate":"2025-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144766888","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Gastric cancer (GC) is one of the leading causes of cancer-related mortality worldwide, with late-stage diagnosis and limited treatment efficacy. The major challenges in chemotherapy and radiotherapy for GC include drug resistance, systemic toxicity, limited tumor selectivity, adverse side effects, tumor heterogeneity, and the development of radioresistance, all of which hinder treatment efficacy and patient outcomes. Aptamers, single-stranded DNA or RNA molecules with high specificity and affinity for molecular targets, offer a promising alternative to traditional diagnostic and therapeutic approaches. Due to their high specificity and low immunogenicity, aptamers improve non-invasive diagnostic techniques, enabling early GC detection and targeted therapeutic applications. Therapeutically, aptamers facilitate precise drug targeting, reducing systemic toxicity and improving treatment outcomes, especially for drug-resistant and metastatic cases. Integration with nanotechnology further enhances their potential, enabling theranostic applications that combine diagnosis and therapy. Despite these advancements, challenges such as physiological stability, renal clearance, and tissue permeability remain, necessitating further research into chemical modifications and nanocarrier-based delivery systems. This study provides a comprehensive review of recent advancements in aptamer technology and its evolving applications in GC, with a particular emphasis on diagnostic and therapeutic strategies. The first section explores aptamer development strategies, including emerging selection techniques and molecular modifications to enhance their specificity and stability. The subsequent section examines the role of aptamers in GC diagnostics and treatment, with a focus on targeted chemotherapy and immunotherapy. Lastly, we discuss the current challenges in aptamer-based approaches and outline future perspectives for their clinical translation.
{"title":"Advances in aptamer technology and its updated applications in gastric cancer","authors":"Sayedeh Azimeh Hosseini , Arghavan Rakhshani Nejad , Hassan Valadbeigi , Mohammad Hossein Haddadi , Monireh Bazdar","doi":"10.1016/j.ab.2025.115950","DOIUrl":"10.1016/j.ab.2025.115950","url":null,"abstract":"<div><div>Gastric cancer (GC) is one of the leading causes of cancer-related mortality worldwide, with late-stage diagnosis and limited treatment efficacy. The major challenges in chemotherapy and radiotherapy for GC include drug resistance, systemic toxicity, limited tumor selectivity, adverse side effects, tumor heterogeneity, and the development of radioresistance, all of which hinder treatment efficacy and patient outcomes. Aptamers, single-stranded DNA or RNA molecules with high specificity and affinity for molecular targets, offer a promising alternative to traditional diagnostic and therapeutic approaches. Due to their high specificity and low immunogenicity, aptamers improve non-invasive diagnostic techniques, enabling early GC detection and targeted therapeutic applications. Therapeutically, aptamers facilitate precise drug targeting, reducing systemic toxicity and improving treatment outcomes, especially for drug-resistant and metastatic cases. Integration with nanotechnology further enhances their potential, enabling theranostic applications that combine diagnosis and therapy. Despite these advancements, challenges such as physiological stability, renal clearance, and tissue permeability remain, necessitating further research into chemical modifications and nanocarrier-based delivery systems. This study provides a comprehensive review of recent advancements in aptamer technology and its evolving applications in GC, with a particular emphasis on diagnostic and therapeutic strategies. The first section explores aptamer development strategies, including emerging selection techniques and molecular modifications to enhance their specificity and stability. The subsequent section examines the role of aptamers in GC diagnostics and treatment, with a focus on targeted chemotherapy and immunotherapy. Lastly, we discuss the current challenges in aptamer-based approaches and outline future perspectives for their clinical translation.</div></div>","PeriodicalId":7830,"journal":{"name":"Analytical biochemistry","volume":"706 ","pages":"Article 115950"},"PeriodicalIF":2.5,"publicationDate":"2025-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144764029","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-07-30DOI: 10.1016/j.ab.2025.115951
Xia Li , Qi Chen , Yating Zhu , Haofei Hong , Zhifang Zhou , Zhimeng Wu , Jie Shi
Rapid and accurate detection of neutralizing antibody (nAb) is essential for assessing vaccine efficacy and immune protection against infectious diseases. In the present study, we developed a neutralization-antibody detection qPCR platform (NAD-qPCR) that quantifies nAb potency by integrating antigen-receptor binding specificity with qPCR sensitivity. Using the SARS-CoV-2 nAb as a proof-of-concept target, this system comprised a hybrid probe with the viral RBD as an antigen module covalently conjugated to a reporter DNA, and magnetic beads functionalized with the ACE2 mimic mini-protein as a receptor module, thereby recapitulating the natural antigen-receptor interactions. With this design, the neutralizing capability of nAb against the antigen was transformed into a competitive reduction of the probe binding and DNA amplification signal by qPCR. The NAD-qPCR demonstrated robust performance in quantifying commercial SARS-CoV-2 nAb with a LOD of 4 ng/μL. Furthermore, it was demonstrated to be capable of effectively profiling a large number of vaccinated donor serum with broad neutralization activity. Notably, the hybrid probe and the capture beads were designed modularly, which allows for straightforward adaptation to other pathogens by replacing the module component. This platform offers a rapid, high-throughput, and universally applicable approach for nAb detection in vaccine development and immune monitoring.
{"title":"A modular and universal platform for neutralizing-antibody profiling by quantifying antigen-receptor interactions via qPCR","authors":"Xia Li , Qi Chen , Yating Zhu , Haofei Hong , Zhifang Zhou , Zhimeng Wu , Jie Shi","doi":"10.1016/j.ab.2025.115951","DOIUrl":"10.1016/j.ab.2025.115951","url":null,"abstract":"<div><div>Rapid and accurate detection of neutralizing antibody (nAb) is essential for assessing vaccine efficacy and immune protection against infectious diseases. In the present study, we developed a neutralization-antibody detection qPCR platform (NAD-qPCR) that quantifies nAb potency by integrating antigen-receptor binding specificity with qPCR sensitivity. Using the SARS-CoV-2 nAb as a proof-of-concept target, this system comprised a hybrid probe with the viral RBD as an antigen module covalently conjugated to a reporter DNA, and magnetic beads functionalized with the ACE2 mimic mini-protein as a receptor module, thereby recapitulating the natural antigen-receptor interactions. With this design, the neutralizing capability of nAb against the antigen was transformed into a competitive reduction of the probe binding and DNA amplification signal by qPCR. The NAD-qPCR demonstrated robust performance in quantifying commercial SARS-CoV-2 nAb with a LOD of 4 ng/μL. Furthermore, it was demonstrated to be capable of effectively profiling a large number of vaccinated donor serum with broad neutralization activity. Notably, the hybrid probe and the capture beads were designed modularly, which allows for straightforward adaptation to other pathogens by replacing the module component. This platform offers a rapid, high-throughput, and universally applicable approach for nAb detection in vaccine development and immune monitoring.</div></div>","PeriodicalId":7830,"journal":{"name":"Analytical biochemistry","volume":"706 ","pages":"Article 115951"},"PeriodicalIF":2.5,"publicationDate":"2025-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144756934","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-07-18DOI: 10.1016/j.ab.2025.115947
Ulrike Vogel, Renger Dijkstra, Koen Beerens, Tom Desmet
CDP-tyvelose 2-epimerase-like enzymes and UDP-glucose 4-epimerases belong to the Nucleotide Sugar active Short-Chain Dehydrogenase/Reductase (NS-SDR) superfamily and convert NDP-Glc to NDP-Man and NDP-Gal, respectively. The product detection is well established using HPLC-based methods, capillary electrophoresis and thin layer chromatography for both epimerization reactions. However, the lack of a reliable colorimetric assays and poor substrate availability slow down the screening process of these enzymes, for example during enzyme engineering projects. After testing 16 phenolic compounds with different aldohexoses in concentrated sulfuric acid, thymol was found suitable for the detection of (NDP-) mannose and 1-naphthol for the detection of (NDP-) galactose in the presence of (NDP-) glucose. As proof-of-concept, the optimized assay was used for the biochemical characterization of the CDP-tyvelose 2-epimerase from Ardenticatenia bacterium.
{"title":"Colorimetric assays for the detection of C4- and C2-epimerization of NDP-glucose to NDP-galactose and NDP-mannose","authors":"Ulrike Vogel, Renger Dijkstra, Koen Beerens, Tom Desmet","doi":"10.1016/j.ab.2025.115947","DOIUrl":"10.1016/j.ab.2025.115947","url":null,"abstract":"<div><div>CDP-tyvelose 2-epimerase-like enzymes and UDP-glucose 4-epimerases belong to the Nucleotide Sugar active Short-Chain Dehydrogenase/Reductase (NS-SDR) superfamily and convert NDP-Glc to NDP-Man and NDP-Gal, respectively. The product detection is well established using HPLC-based methods, capillary electrophoresis and thin layer chromatography for both epimerization reactions. However, the lack of a reliable colorimetric assays and poor substrate availability slow down the screening process of these enzymes, for example during enzyme engineering projects. After testing 16 phenolic compounds with different aldohexoses in concentrated sulfuric acid, thymol was found suitable for the detection of (NDP-) mannose and 1-naphthol for the detection of (NDP-) galactose in the presence of (NDP-) glucose. As proof-of-concept, the optimized assay was used for the biochemical characterization of the CDP-tyvelose 2-epimerase from <em>Ardenticatenia bacterium</em>.</div></div>","PeriodicalId":7830,"journal":{"name":"Analytical biochemistry","volume":"706 ","pages":"Article 115947"},"PeriodicalIF":2.6,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144671018","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}