Pub Date : 2025-12-13DOI: 10.1016/j.crbiot.2025.100361
Tamára F. Santos , Beatriz Simões , Veronica Rossetto , Hugo Pereira , Inês B. Maia , Marta Oliveira , Aschwin Engelen , João Navalho , João Varela
The marine haptophyte Tisochrysis lutea is a valuable source of high-value compounds, including polyunsaturated fatty acids like docosahexaenoic acid, and pigments (e.g., fucoxanthin). However, high production costs and variability remain major challenges for its large-scale application in aquaculture, pharmaceuticals, and biotechnology industries. Therefore, strategies to enhance biomass production and quality are actively explored. In natural environments, T. lutea establishes mutualistic interactions with bacteria to obtain essential nutrients such as vitamin B12, yet the role of bacteria in industrial cultures remains poorly understood. In this study, 145 bacterial strains were isolated and taxonomically identified from industrial T. lutea cultures, with members of the class Gammaproteobacteria and Actinomycetia being the most prevalent. Forty isolates were screened individually in co-culture with T. lutea revealing strain-specific effects on growth and biochemical composition. Seven beneficial strains were used to design 21 tailored bacterial blends. Several consortia enhanced biomass production (up to 74 %) and increased key bioactive compounds, particularly methylcobalamin (up to 300 %). These findings demonstrate the potential of tailored bacterial consortia to enhance T. lutea productivity and nutritional quality under production-relevant xenic conditions, enabling strategic microbiome modulation for specific industrial goals.
{"title":"Tailored bacterial co-cultures improve Tisochrysis lutea growth and nutrient profiles under xenic conditions: a new pathway to improve microalgal production","authors":"Tamára F. Santos , Beatriz Simões , Veronica Rossetto , Hugo Pereira , Inês B. Maia , Marta Oliveira , Aschwin Engelen , João Navalho , João Varela","doi":"10.1016/j.crbiot.2025.100361","DOIUrl":"10.1016/j.crbiot.2025.100361","url":null,"abstract":"<div><div>The marine haptophyte <em>Tisochrysis lutea</em> is a valuable source of high-value compounds, including polyunsaturated fatty acids like docosahexaenoic acid, and pigments (e.g., fucoxanthin). However, high production costs and variability remain major challenges for its large-scale application in aquaculture, pharmaceuticals, and biotechnology industries. Therefore, strategies to enhance biomass production and quality are actively explored. In natural environments, <em>T. lutea</em> establishes mutualistic interactions with bacteria to obtain essential nutrients such as vitamin B<sub>12</sub>, yet the role of bacteria in industrial cultures remains poorly understood. In this study, 145 bacterial strains were isolated and taxonomically identified from industrial <em>T. lutea</em> cultures, with members of the class Gammaproteobacteria and Actinomycetia being the most prevalent. Forty isolates were screened individually in co-culture with <em>T. lutea</em> revealing strain-specific effects on growth and biochemical composition. Seven beneficial strains were used to design 21 tailored bacterial blends. Several consortia enhanced biomass production (up to 74 %) and increased key bioactive compounds, particularly methylcobalamin (up to 300 %). These findings demonstrate the potential of tailored bacterial consortia to enhance <em>T. lutea</em> productivity and nutritional quality under production-relevant xenic conditions, enabling strategic microbiome modulation for specific industrial goals.</div></div>","PeriodicalId":52676,"journal":{"name":"Current Research in Biotechnology","volume":"11 ","pages":"Article 100361"},"PeriodicalIF":4.0,"publicationDate":"2025-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145790661","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.crbiot.2025.100356
Tahereh Zarei Taher , Mohammad Hassan Yousefi , Hamed Afkhami , Maria Kavianpour , Amir Hossein Kheirkhah
CRISPR-Cas12 technology has greatly advanced gene editing, offering high efficiency and accuracy. Its main applications include gene modification, disease diagnosis, and especially the development of personalized cancer therapies. CRISPR-Cas12 enhances CAR-T cell therapies, allowing immune cells to target cancer more effectively. The technology also enables precise DNA sequence changes, supporting tailored treatments based on individual tumor genetics. Importantly, CRISPR-Cas12 reduces off-target effects, improving the safety and reliability of gene therapies in clinical settings. Additionally, strategies to overcome the immunosuppressive tumor microenvironment, such as modulating regulatory T cells or engineering resistance to their inhibitory signals, are emphasized. However, challenges remain, including concerns about long-term safety, delivery methods, and ethical issues related to genetic modification. Despite these hurdles, CRISPR-Cas12 offers significant potential as a safe and transformative tool for innovative immunotherapies, promising more effective cancer treatments and better patient outcomes.
{"title":"CRISPR-Cas12 in immunotherapy and Beyond: Advances and challenges","authors":"Tahereh Zarei Taher , Mohammad Hassan Yousefi , Hamed Afkhami , Maria Kavianpour , Amir Hossein Kheirkhah","doi":"10.1016/j.crbiot.2025.100356","DOIUrl":"10.1016/j.crbiot.2025.100356","url":null,"abstract":"<div><div>CRISPR-Cas12 technology has greatly advanced gene editing, offering high efficiency and accuracy. Its main applications include gene modification, disease diagnosis, and especially the development of personalized cancer therapies. CRISPR-Cas12 enhances CAR-T cell therapies, allowing immune cells to target cancer more effectively. The technology also enables precise DNA sequence changes, supporting tailored treatments based on individual tumor genetics. Importantly, CRISPR-Cas12 reduces off-target effects, improving the safety and reliability of gene therapies in clinical settings. Additionally, strategies to overcome the immunosuppressive tumor microenvironment, such as modulating regulatory T cells or engineering resistance to their inhibitory signals, are emphasized. However, challenges remain, including concerns about long-term safety, delivery methods, and ethical issues related to genetic modification. Despite these hurdles, CRISPR-Cas12 offers significant potential as a safe and transformative tool for innovative immunotherapies, promising more effective cancer treatments and better patient outcomes.</div></div>","PeriodicalId":52676,"journal":{"name":"Current Research in Biotechnology","volume":"11 ","pages":"Article 100356"},"PeriodicalIF":4.0,"publicationDate":"2025-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145685470","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 : 2025-11-27DOI: 10.1016/j.crbiot.2025.100355
V. Humera Farheen , M. Aslam Abdullah , I. Ganesh Moorthy
Bioethanol production from lignocellulosic biomass, such as agricultural residues, forestry waste, and energy crops, is an abundant, renewable, and non-food-competing resource that has gained attention as a sustainable alternative to fossil fuels. The conversion process typically involves three stages: pretreatment, enzymatic hydrolysis, and fermentation. Pretreatment using physical, chemical, biological, and nanotechnological-assisted methods is essential to break down the rigid biomass structure and enhance enzyme accessibility. In the subsequent enzymatic hydrolysis, cellulolytic enzymes convert cellulose and hemicellulose into fermentable sugars. Fermentation, carried out by microorganisms such as Saccharomyces cerevisiae, Zymomonas mobilis, or Pichia stipitis, subsequently convert these sugars into ethanol. Despite its potential, lignocellulosic bioethanol production faces challenges such as high pretreatment costs, enzyme inefficiency, and the presence of fermentation inhibitors. The use of statistical and optimization tools such as Artificial Neural Networks (ANN) and Response Surface Methodology (RSM) has been widely used to enhance bioethanol production. ANN provides robust predictive modelling by handling complex, non-linear interactions, while RSM enables efficient experimental design, identification of factor interactions, and optimization with fewer trials. Combining these methods improves ethanol yield, minimizes inhibitors, and enhances process efficiency. Recent advancements in metabolic engineering, microbial strain development, and integrated bioprocessing approaches have contributed to improving ethanol yield and process efficiency. This review explores recent progress in bioethanol production from lignocellulosic biomass, focusing on technological innovations, challenges, and future research directions aimed at enhancing the economic viability of lignocellulosic bioethanol as a renewable fuel source.
{"title":"Lignocellulosic bioethanol production: a review on pretreatment strategies, biofuel separation, and artificial intelligence/machine learning − based sustainable optimization","authors":"V. Humera Farheen , M. Aslam Abdullah , I. Ganesh Moorthy","doi":"10.1016/j.crbiot.2025.100355","DOIUrl":"10.1016/j.crbiot.2025.100355","url":null,"abstract":"<div><div>Bioethanol production from lignocellulosic biomass, such as agricultural residues, forestry waste, and energy crops, is an abundant, renewable, and non-food-competing resource that has gained attention as a sustainable alternative to fossil fuels. The conversion process typically involves three stages: pretreatment, enzymatic hydrolysis, and fermentation. Pretreatment using physical, chemical, biological, and nanotechnological-assisted methods is essential to break down the rigid biomass structure and enhance enzyme accessibility. In the subsequent enzymatic hydrolysis, cellulolytic enzymes convert cellulose and hemicellulose into fermentable sugars. Fermentation, carried out by microorganisms such as <em>Saccharomyces cerevisiae, Zymomonas mobilis,</em> or <em>Pichia stipitis,</em> subsequently convert these sugars into ethanol. Despite its potential, lignocellulosic bioethanol production faces challenges such as high pretreatment costs, enzyme inefficiency, and the presence of fermentation inhibitors. The use of statistical and optimization tools such as Artificial Neural Networks (ANN) and Response Surface Methodology (RSM) has been widely used to enhance bioethanol production. ANN provides robust predictive modelling by handling complex, non-linear interactions, while RSM enables efficient experimental design, identification of factor interactions, and optimization with fewer trials. Combining these methods improves ethanol yield, minimizes inhibitors, and enhances process efficiency. Recent advancements in metabolic engineering, microbial strain development, and integrated bioprocessing approaches have contributed to improving ethanol yield and process efficiency. This review explores recent progress in bioethanol production from lignocellulosic biomass, focusing on technological innovations, challenges, and future research directions aimed at enhancing the economic viability of lignocellulosic bioethanol as a renewable fuel source.</div></div>","PeriodicalId":52676,"journal":{"name":"Current Research in Biotechnology","volume":"11 ","pages":"Article 100355"},"PeriodicalIF":4.0,"publicationDate":"2025-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145685471","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}
Extracellular vesicles (EVs) are highly promising biological carriers, due to their potential for drug delivery and their involvement in multiple cellular processes. These vesicles, released by cells into the extracellular space, can be classified into different types based on their origin, size, and molecular content. While animal-derived EVs have been extensively studied and characterised, recent research has highlighted the growing interest in plant-derived EVs, which present unique properties that could offer novel advantages in therapeutic applications.
This review aims to provide an overview of similarities and differences between animal and plant-derived EVs, focusing on their structural and functional characteristics. Additionally, we report various methods used for the isolation and characterisation of these vesicles, to provide a comprehensive summary, highlighting the main challenges and opportunities of each experimental option.
Moreover, the present work explores the most used techniques for loading bioactive molecules into EVs, transforming them from natural biological entities into innovative drug delivery systems. The ability to encapsulate drugs, small RNA molecules, or proteins within EVs opens up new frontiers for the targeted treatment of diseases, with particular emphasis on overcoming barriers related to drug bioavailability and specificity.
Finally, this review stresses the importance of ongoing research in the extracellular vesicles field, from both animal and plant origins, given their adaptable properties to multiple pharmaceutical purposes. Plant-derived EVsoffer a sustainable and economic alternative, together with the better characterised mammalian vesicles, showing the potential to strongly improve the drug delivery strategy in the near future.
{"title":"Plant vs mammal extracellular vesicles: new tools in therapeutic drug delivery","authors":"Elisa Maricchiolo, Pasquale Creanza, Michela Osnato, Mattia Tiboni, Luca Casettari, Annalisa Aluigi, Andrea Pompa","doi":"10.1016/j.crbiot.2025.100352","DOIUrl":"10.1016/j.crbiot.2025.100352","url":null,"abstract":"<div><div>Extracellular vesicles (EVs) are highly promising biological carriers, due to their potential for drug delivery and their involvement in multiple cellular processes. These vesicles, released by cells into the extracellular space, can be classified into different types based on their origin, size, and molecular content. While animal-derived EVs have been extensively studied and characterised, recent research has highlighted the growing interest in plant-derived EVs, which present unique properties that could offer novel advantages in therapeutic applications.</div><div>This review aims to provide an overview of similarities and differences between animal and plant-derived EVs, focusing on their structural and functional characteristics. Additionally, we report various methods used for the isolation and characterisation of these vesicles, to provide a comprehensive summary, highlighting the main challenges and opportunities of each experimental option.</div><div>Moreover, the present work explores the most used techniques for loading bioactive molecules into EVs, transforming them from natural biological entities into innovative drug delivery systems. The ability to encapsulate drugs, small RNA molecules, or proteins within EVs opens up new frontiers for the targeted treatment of diseases, with particular emphasis on overcoming barriers related to drug bioavailability and specificity.</div><div>Finally, this review stresses the importance of ongoing research in the extracellular vesicles field, from both animal and plant origins, given their adaptable properties to multiple pharmaceutical purposes. Plant-derived EVsoffer a sustainable and economic alternative, together with the better characterised mammalian vesicles, showing the potential to strongly improve the drug delivery strategy in the near future.</div></div>","PeriodicalId":52676,"journal":{"name":"Current Research in Biotechnology","volume":"11 ","pages":"Article 100352"},"PeriodicalIF":4.0,"publicationDate":"2025-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145618631","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}
Non-coding regions of the genome are known to influence complex disorders, yet the role of long non-coding RNAs (lncRNAs) in Diabetic Kidney Disease (DKD) remains underexplored. This study conducts a meta-analysis of RNA-sequencing data from murine kidney samples of type 1 (T1DM) and type 2 diabetes mellitus (T2DM) to identify lncRNAs associated with DKD. DKD-associated datasets were harvested, and after data pre-processing and quality assessment, 6 T1DM and 4 T2DM datasets were included. Data integration, batch correction, and normalization were performed, followed by the identification of differentially expressed lncRNAs (meta-DELs) and mRNAs (meta-DEMs). A DKD mouse model was developed to validate the expression of selected meta-DELs using qRT-PCR. The meta-analysis identified 188 meta-DELs in T1DM and 68 in T2DM. Notably, a small set of lncRNAs have dense mRNA interactions, including Dancer, Gm7628, C4a, and Gm17300 in T1DM and Malat1, C4a, Gm17300, and Eif4a2 in T2DM. Expression analysis confirmed the up-regulation of seven selected meta-DELs in the DKD model, with Trp53cor1, Gm15462, and Gm42664 reaching statistical significance. This systematic analysis of high-quality expression profiles identified meta-DELs consistently associated with DKD, distinguishing actual lncRNA changes from those influenced by experimental conditions or gene expression noise.
{"title":"The landscape of LncRNAs in diabetic kidney disease: a meta-analysis of transcriptomics data","authors":"Raziyeh Rezaei , Basireh Bahrami , Yousof Gheisari","doi":"10.1016/j.crbiot.2025.100322","DOIUrl":"10.1016/j.crbiot.2025.100322","url":null,"abstract":"<div><div>Non-coding regions of the genome are known to influence complex disorders, yet the role of long non-coding RNAs (lncRNAs) in Diabetic Kidney Disease (DKD) remains underexplored. This study conducts a meta-analysis of RNA-sequencing data from murine kidney samples of type 1 (T1DM) and type 2 diabetes mellitus (T2DM) to identify lncRNAs associated with DKD. DKD-associated datasets were harvested, and after data pre-processing and quality assessment, 6 T1DM and 4 T2DM datasets were included. Data integration, batch correction, and normalization were performed, followed by the identification of differentially expressed lncRNAs (meta-DELs) and mRNAs (meta-DEMs). A DKD mouse model was developed to validate the expression of selected meta-DELs using qRT-PCR. The meta-analysis identified 188 meta-DELs in T1DM and 68 in T2DM. Notably, a small set of lncRNAs have dense mRNA interactions, including <em>Dancer</em>, <em>Gm7628</em>, <em>C4a</em>, and <em>Gm17300</em> in T1DM and <em>Malat1</em>, <em>C4a</em>, <em>Gm17300</em>, and <em>Eif4a2</em> in T2DM. Expression analysis confirmed the up-regulation of seven selected meta-DELs in the DKD model, with Trp53cor1, Gm15462, and Gm42664 reaching statistical significance. This systematic analysis of high-quality expression profiles identified meta-DELs consistently associated with DKD, distinguishing actual lncRNA changes from those influenced by experimental conditions or gene expression noise.</div></div>","PeriodicalId":52676,"journal":{"name":"Current Research in Biotechnology","volume":"10 ","pages":"Article 100322"},"PeriodicalIF":4.0,"publicationDate":"2025-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145003841","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 : 2025-01-01DOI: 10.1016/j.crbiot.2024.100271
Zuhra Bibi , Dilara Abbas Bukhari , Muhammad Qadeer Sarwar , Arifullah , Samina Younas , Tayyab Manzoor , Abdul Rehman
In the present investigation, lab-isolated probiotics Weisella confusa MZ735961.1, Lactiplantibacillus plantarum MZ707748.1, L. plantarum MZ710117.1, and L. plantarum MZ735961 were used separately and in combinations to evaluate their effect on gut morphology of Wistar rats. Synergistic groups were formed by 1:1 and labeled as G1 (L. plantarum MZ707748.1 and L. plantarum MZ729681.1), G2 (W. confusa MZ735961.1 and L. plantarum MZ727611.1), G3 (L. plantarum MZ729681.1, W. confusa MZ735961.1, and Lactobacillus acidophilus La-14), G4 (all above mentioned probiotics). Rats were gavage-fed with probiotics according to their colony-forming unit (CFU). The experiment was carried out for 35 days. The bacteria were re-isolated from the gut and identified by biochemical tests which confirmed the administration and re-isolation of different Lactobacillus strains from the gut. Molecular characterization was done through 16S rRNA by using universal primers. After sequencing eight Lactobacillus strains were identified. Histopathology of rats’ intestines was done, and different parameters were examined. Villus height, crypt height, crypt width, mucosa, and sub-mucosa of jejunum were significantly (p = 0.00) increased in the G3 synergetic probiotic group compared to 0-day and negative control. However, the villus width showed non-significant (p > 0.05) variations in both genders. Mucosa tunic, muscle tunic, total wall, and crypt depth were significantly increased (p = 0.00) in the G4 group of medial colon. The study concluded that gut morphology improves as probiotics adhere better to the intestinal epithelium, excluding pathogens, reducing inflammation, enhancing nutrient absorption, and stimulating mucosal growth. This results in improved villus structure and gut wall integrity.
本研究采用实验室分离的几种益生菌,分别使用杂交魏氏菌MZ735961.1、植物乳杆菌MZ707748.1、植物乳杆菌MZ710117.1和植物乳杆菌MZ735961,观察其对Wistar大鼠肠道形态的影响。按1:1组成协同组,分别标记为G1 (L. plantarum MZ707748.1和L. plantarum MZ729681.1)、G2 (W. confusa MZ735961.1和L. plantarum MZ727611.1)、G3 (L. plantarum MZ729681.1、W. confusa MZ735961.1和嗜酸乳杆菌La-14)、G4(上述益生菌)。大鼠按菌落形成单位(CFU)灌喂益生菌。试验期35 d。从肠道中重新分离细菌,并通过生化试验鉴定,证实了肠道中不同乳杆菌菌株的给药和重新分离。使用通用引物通过16S rRNA进行分子鉴定。测序后鉴定出8株乳杆菌。对大鼠肠道进行组织病理学检查,并对各参数进行检测。与0日龄和阴性对照组相比,G3协同益生菌组空肠绒毛高度、隐窝高度、隐窝宽度、黏膜和亚黏膜显著(p = 0.00)升高。但绒毛宽度无显著差异(p >;0.05)的差异。G4组内结肠粘膜、肌被膜、总肠壁、隐窝深度均显著增加(p = 0.00)。该研究得出结论,肠道形态改善,因为益生菌更好地粘附在肠上皮上,排除病原体,减少炎症,促进营养吸收,刺激粘膜生长。这改善了绒毛结构和肠壁的完整性。
{"title":"Gut health improvement by locally isolated probiotics and histomorphometric analysis in Wistar rats","authors":"Zuhra Bibi , Dilara Abbas Bukhari , Muhammad Qadeer Sarwar , Arifullah , Samina Younas , Tayyab Manzoor , Abdul Rehman","doi":"10.1016/j.crbiot.2024.100271","DOIUrl":"10.1016/j.crbiot.2024.100271","url":null,"abstract":"<div><div>In the present investigation, lab-isolated probiotics <em>Weisella confusa</em> MZ735961.1, <em>Lactiplantibacillus plantarum</em> MZ707748.1<em>, L. plantarum</em> MZ710117.1<em>,</em> and <em>L. plantarum</em> MZ735961 were used separately and in combinations to evaluate their effect on gut morphology of Wistar rats. Synergistic groups were formed by 1:1 and labeled as G1 (<em>L. plantarum</em> MZ707748.1 and <em>L. plantarum</em> MZ729681.1), G2 (<em>W. confusa</em> MZ735961.1 and <em>L. plantarum</em> MZ727611.1), G3 (<em>L. plantarum</em> MZ729681.1, <em>W. confusa</em> MZ735961.1, and <em>Lactobacillus acidophilus</em> La-14), G4 (all above mentioned probiotics). Rats were gavage-fed with probiotics according to their colony-forming unit (CFU). The experiment was carried out for 35 days. The bacteria were re-isolated from the gut and identified by biochemical tests which confirmed the administration and re-isolation of different <em>Lactobacillus</em> strains from the gut. Molecular characterization was done through 16S rRNA by using universal primers. After sequencing eight <em>Lactobacillus</em> strains were identified. Histopathology of rats’ intestines was done, and different parameters were examined. Villus height, crypt height, crypt width, mucosa, and sub-mucosa of jejunum were significantly (p = 0.00) increased in the G3 synergetic probiotic group compared to 0-day and negative control. However, the villus width showed non-significant (p > 0.05) variations in both genders. Mucosa tunic, muscle tunic, total wall, and crypt depth were significantly increased (p = 0.00) in the G4 group of medial colon. The study concluded that gut morphology improves as probiotics adhere better to the intestinal epithelium, excluding pathogens, reducing inflammation, enhancing nutrient absorption, and stimulating mucosal growth. This results in improved villus structure and gut wall integrity.</div></div>","PeriodicalId":52676,"journal":{"name":"Current Research in Biotechnology","volume":"9 ","pages":"Article 100271"},"PeriodicalIF":3.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143136459","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}
Pub Date : 2025-01-01DOI: 10.1016/j.crbiot.2025.100304
Rifat Zubair Ahmed , Ashraful Islam , Tiantian Tian , Zhe Tian , Yu Zhang , Min Yang
Microbial Source Tracking (MST) uses molecular markers targeting host-associated gut microorganisms to identify fecal pollution. However, MST faces significant challenges in fecal source identification, particularly due to the markers’ poor specificity and shared genomic areas among microorganisms from different host sources. This study addresses these challenges by using host-specific Escherichia coli genetic markers, originally developed through a novel, library-independent approach, to detect sources of fecal pollution. A total of 563 E.coli isolates from chicken, cow, and pig feces were isolated and assessed by nine reported host-associated E. coli genetic markers (Chicken: CH7, CH9, CH12, CH13; Cow: CO2, CO3; Pig: P1, P3, P4) through PCR. Marker possession patterns, sensitivity, specificity, and accuracy were calculated. The NCBI Microbial Genome database was searched for sequences homologous to genome regions of studied genetic markers and evaluated by finding the percentage of host sources and sequence location in the genome. Homology evaluation with binary PCR results was used to predict the best-performing marker. PCR results exhibited that the most effective markers were chicken CH7 (67% sensitivity, 77.9% specificity, 74.4% accuracy) and CH9 (55% sensitivity, 99.4% specificity, 84.7% accuracy). However, a homology search in the database narrowed the selection of the top-performing marker to CH7, which showed homology with E.coli from chicken hosts, while other markers exhibited higher homology with E.coli from Humans. Furthermore, sequences from the database homologous to the CH9 and CO2 markers were found on a plasmid, while those for CH12, CO3, P1, and P4 were on the chromosome, and CH7, CH13, and P3 were on both. This study highlights the critical need for integrated approaches to assess molecular markers in MST assays, emphasizing their significance in advancing research within the field.
{"title":"Validation of microbial source tracking markers through PCR-based molecular analysis and microbial genome database","authors":"Rifat Zubair Ahmed , Ashraful Islam , Tiantian Tian , Zhe Tian , Yu Zhang , Min Yang","doi":"10.1016/j.crbiot.2025.100304","DOIUrl":"10.1016/j.crbiot.2025.100304","url":null,"abstract":"<div><div>Microbial Source Tracking (MST) uses molecular markers targeting host-associated gut microorganisms to identify fecal pollution. However, MST faces significant challenges in fecal source identification, particularly due to the markers’ poor specificity and shared genomic areas among microorganisms from different host sources. This study addresses these challenges by using host-specific <em>Escherichia coli</em> genetic markers, originally developed through a novel, library-independent approach, to detect sources of fecal pollution. A total of 563 <em>E.coli</em> isolates from chicken, cow, and pig feces were isolated and assessed by nine reported host-associated <em>E. coli</em> genetic markers (Chicken: CH7, CH9, CH12, CH13; Cow: CO2, CO3; Pig: P1, P3, P4) through PCR. Marker possession patterns, sensitivity, specificity, and accuracy were calculated. The NCBI Microbial Genome database was searched for sequences homologous to genome regions of studied genetic markers and evaluated by finding the percentage of host sources and sequence location in the genome. Homology evaluation with binary PCR results was used to predict the best-performing marker. PCR results exhibited that the most effective markers were chicken CH7 (67% sensitivity, 77.9% specificity, 74.4% accuracy) and CH9 (55% sensitivity, 99.4% specificity, 84.7% accuracy). However, a homology search in the database narrowed the selection of the top-performing marker to CH7, which showed homology with <em>E.coli</em> from chicken hosts, while other markers exhibited higher homology with <em>E.coli</em> from Humans. Furthermore, sequences from the database homologous to the CH9 and CO2 markers were found on a plasmid, while those for CH12, CO3, P1, and P4 were on the chromosome, and CH7, CH13, and P3 were on both. This study highlights the critical need for integrated approaches to assess molecular markers in MST assays, emphasizing their significance in advancing research within the field.</div></div>","PeriodicalId":52676,"journal":{"name":"Current Research in Biotechnology","volume":"10 ","pages":"Article 100304"},"PeriodicalIF":3.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144212018","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 : 2025-01-01DOI: 10.1016/j.crbiot.2025.100310
Marcela Guimarães , Daniela Luz , Elisabeth de Fátima Pires Augusto , Lucia Vieira , Maricilia Silva Costa , Roxane Maria Fontes Piazza , José Geraldo da Cruz Pradella
Shiga toxin (Stx)-producing Escherichia coli (STEC) and its subgroup enterohemorrhagic E. coli are significant pathogens responsible for diarrhea, which can progress to hemorrhagic colitis and hemolytic uremic syndrome (HUS), the leading cause of acute renal failure in children. Early diagnosis is crucial for effective clinical management, as antibiotic treatment is not recommended for STEC infections. The present study aimed to establish a cost-effective biotechnological platform for cultivating recombinant E. coli to produce scFv antibody fragments against Stx2 for diagnostic applications. The method was first evaluated through shake flask experiments and subsequently scaled up to bench-scale bioreactors operated in both batch and fed-batch modes using defined culture media. Optimal production conditions were achieved by inducing recombinant E. coli pLys at 18 °C for 18 h with 0.1 mM IPTG, resulting in a yield of 3.0 to 4.0 mg scFv/g cell biomass. A fed-batch, high-cell-density procedure with E. coli pLysS achieved a maximum production up to 150 mg scFv/L. A preliminary economic assessment demonstrated the production potential at a value of around $250/g scFv. Economic analysis also highlights that the relative cost of capital investment becomes important as production processes intensify. Therefore, technical parameters such as productivity (scFv mass/bioreactor volume * time) and scFv concentration (mass scFv mass/bioreactor volume) should be prioritized to maximize their values. Similarly, optimization of the recombinant E. coli microbial platform should be pursued to increase the Yp/x level.
{"title":"Cost-effective production process of scFv antibody fragments against Shiga toxin 2 via recombinant E. coli","authors":"Marcela Guimarães , Daniela Luz , Elisabeth de Fátima Pires Augusto , Lucia Vieira , Maricilia Silva Costa , Roxane Maria Fontes Piazza , José Geraldo da Cruz Pradella","doi":"10.1016/j.crbiot.2025.100310","DOIUrl":"10.1016/j.crbiot.2025.100310","url":null,"abstract":"<div><div>Shiga toxin (Stx)-producing <em>Escherichia coli</em> (STEC) and its subgroup enterohemorrhagic <em>E. coli</em> are significant pathogens responsible for diarrhea, which can progress to hemorrhagic colitis and hemolytic uremic syndrome (HUS), the leading cause of acute renal failure in children. Early diagnosis is crucial for effective clinical management, as antibiotic treatment is not recommended for STEC infections. The present study aimed to establish a cost-effective biotechnological platform for cultivating recombinant <em>E. coli</em> to produce scFv antibody fragments against Stx2 for diagnostic applications. The method was first evaluated through shake flask experiments and subsequently scaled up to bench-scale bioreactors operated in both batch and fed-batch modes using defined culture media. Optimal production conditions were achieved by inducing recombinant <em>E. coli</em> pLys at 18 °C for 18 h with 0.1 mM IPTG, resulting in a yield of 3.0 to 4.0 mg scFv/g cell biomass. A fed-batch, high-cell-density procedure with <em>E. coli</em> pLysS achieved a maximum production up to 150 mg scFv/L. A preliminary economic assessment demonstrated the production potential at a value of around $250/g scFv. Economic analysis also highlights that the relative cost of capital investment becomes important as production processes intensify. Therefore, technical parameters such as productivity (scFv mass/bioreactor volume * time) and scFv concentration (mass scFv mass/bioreactor volume) should be prioritized to maximize their values. Similarly, optimization of the recombinant <em>E. coli</em> microbial platform should be pursued to increase the Yp/x level.</div></div>","PeriodicalId":52676,"journal":{"name":"Current Research in Biotechnology","volume":"10 ","pages":"Article 100310"},"PeriodicalIF":3.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144549698","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 : 2025-01-01DOI: 10.1016/j.crbiot.2025.100309
Husnain Ahmad Khan , Shahid Sher , Dilara Abbas Bukhari , Abdul Rehman
Samples were collected from two e-waste dumping sites (Mehmood Booti (31°36′28″N, 74°23′36″E) and Lakhodair (31°37′36.6″ N, 74°25′07.6″ E)) in Lahore, Pakistan. A portable multiparameter was used to determine physicochemical parameters such as temperature, pH, electrical conductivity, turbidity, total suspended particles, and total dissolved solids. Minimal salt broth was used for the determination of the minimal inhibitory concentration of the bacterium against all heavy metals. Bacterial morphology was observed under a scanning electron microscope with and without metal stress. The temperature range for all these samples was 28.7 to 35.7 °C, while the pH range was 6.7 to 7.89. The other parameters range, such as electrical conductivity µS/cm (698–8742), turbidity (14.2–103), total suspended particles (31–698), and total dissolved solids (564–23456). The lead concentration in the Mehmood Booti soil sample was 1800 mg/kg, while in the Lakhodair soil, it was 1567 mg/kg. Microbacterium sp. strain 1S1 was utilized for bioremediation assay at the lab and pilot scale. The resistance capacity of this bacterium against different metals was in the following order: As > Pb > Cd > Cu > Cr > Ni. The bioremediation potential of the bacterium against arsenic was 81.33 % and 96 % after 2 and 4 days. The least activity was observed against nickel, which was 17 and 28.33 % after 2 and 4 days. The metal removal capacity per CFU was the maximum for lead and arsenic compared to other metals, which were 1.99E-7 and 1.45E-07. The heat-inactivated bacterial cells removed arsenic in higher concentrations and lead in lower concentrations. The electron microscopy showed no significant alteration in bacterial morphology in control and metal-treated bacterial cells. The nanopore long-read sequencing analysis revealed that cadmium, nickel, copper, and arsenic resistance genes were found on the bacterial genome. No genes were found for lead and chromium but 849 hypothetical coding sequences having unknown functions were present on the bacterial genome. So, the Microbacterium sp. strain 1S1 is a potential candidate for the removal of heavy metals from e-waste dumping sites.
{"title":"Bioremediation of heavy metals from electronic waste dumping sites with bacteria","authors":"Husnain Ahmad Khan , Shahid Sher , Dilara Abbas Bukhari , Abdul Rehman","doi":"10.1016/j.crbiot.2025.100309","DOIUrl":"10.1016/j.crbiot.2025.100309","url":null,"abstract":"<div><div>Samples were collected from two e-waste dumping sites (Mehmood Booti (31°36′28″N, 74°23′36″E) and Lakhodair (31°37′36.6″ N, 74°25′07.6″ E)) in Lahore, Pakistan. A portable multiparameter was used to determine physicochemical parameters such as temperature, pH, electrical conductivity, turbidity, total suspended particles, and total dissolved solids. Minimal salt broth was used for the determination of the minimal inhibitory concentration of the bacterium against all heavy metals. Bacterial morphology was observed under a scanning electron microscope with and without metal stress. The temperature range for all these samples was 28.7 to 35.7 °C, while the pH range was 6.7 to 7.89. The other parameters range, such as electrical conductivity µS/cm (698–8742), turbidity (14.2–103), total suspended particles (31–698), and total dissolved solids (564–23456). The lead concentration in the Mehmood Booti soil sample was 1800 mg/kg, while in the Lakhodair soil, it was 1567 mg/kg. <em>Microbacterium</em> sp. strain 1S1 was utilized for bioremediation assay at the lab and pilot scale. The resistance capacity of this bacterium against different metals was in the following order: As > Pb > Cd > Cu > Cr > Ni. The bioremediation potential of the bacterium against arsenic was 81.33 % and 96 % after 2 and 4 days. The least activity was observed against nickel, which was 17 and 28.33 % after 2 and 4 days. The metal removal capacity per CFU was the maximum for lead and arsenic compared to other metals, which were 1.99E-7 and 1.45E-07. The heat-inactivated bacterial cells removed arsenic in higher concentrations and lead in lower concentrations. The electron microscopy showed no significant alteration in bacterial morphology in control and metal-treated bacterial cells. The nanopore long-read sequencing analysis revealed that cadmium, nickel, copper, and arsenic resistance genes were found on the bacterial genome. No genes were found for lead and chromium but 849 hypothetical coding sequences having unknown functions were present on the bacterial genome. So, the <em>Microbacterium</em> sp. strain 1S1 is a potential candidate for the removal of heavy metals from e-waste dumping sites.</div></div>","PeriodicalId":52676,"journal":{"name":"Current Research in Biotechnology","volume":"10 ","pages":"Article 100309"},"PeriodicalIF":3.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144366627","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}