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24 pages, 1365 KB  
Article
Prognostic Scoring System for Pulmonary Metastasectomy in Colorectal Cancer: External Validation and Clinical Implications for Adjuvant Chemotherapy
by Hikaru Takahashi, Yoshikane Yamauchi, Tomoki Nishida, Masahiro Yanagiya, Hiroshi Hashimoto, Mingyon Mun, Yoko Azuma, Takekazu Iwata, Makoto Endo, Tomohiko Iida, Haruhisa Matsuguma, Takahiko Oyama, Takashi Ohtsuka and Yukinori Sakao
Cancers 2026, 18(13), 2072; https://doi.org/10.3390/cancers18132072 (registering DOI) - 25 Jun 2026
Abstract
Background: Predicting long-term outcomes after pulmonary metastasectomy for colorectal cancer remains challenging because existing prognostic methods lack precision. We developed and validated a prognostic scoring system derived from a major international meta-analysis to improve risk stratification and to evaluate the benefit of [...] Read more.
Background: Predicting long-term outcomes after pulmonary metastasectomy for colorectal cancer remains challenging because existing prognostic methods lack precision. We developed and validated a prognostic scoring system derived from a major international meta-analysis to improve risk stratification and to evaluate the benefit of adjuvant chemotherapy across risk groups. Methods: Using a Japanese registry of 819 patients who underwent lung resection between 2010 and 2019, we constructed a 0–13-point score based on eight variables including tumor size, number, biological markers, and intrathoracic lymph node status, which may require intraoperative or pathological confirmation. Granular data on chemotherapy regimens, timing, and duration were unavailable. Patients were classified as low, intermediate, or high risk. The primary analysis used inverse probability of treatment weighting to adjust for baseline imbalances; however, only 819 of 1657 patients (49.4%) had complete prognostic data, introducing potential selection bias. Results: The score separated patients into three groups with distinct five-year survival rates: 81.1% (low), 67.8% (intermediate), and 59.1% (high). In high-risk patients, chemotherapy was associated with improved overall survival but did not delay recurrence. In low-risk patients, chemotherapy correlated with reduced recurrence-free survival, a finding that persisted after adjustment. Conclusions: This validated scoring system aids individualized surgical decision making by identifying patients unlikely to benefit from routine postoperative chemotherapy. Observed survival advantages in high-risk patients may reflect selection of fitter individuals rather than direct treatment effects, underscoring the need to address selection bias in future trials. Full article
(This article belongs to the Special Issue Contemporary Thoracic Cancer Surgery: Technology and Innovation)
34 pages, 1976 KB  
Review
Mechanistic Links Underlying the Comorbidity of Osteoporosis and Osteoarthritis: Cell Fate Plasticity Driven by the Subchondral Bone Microenvironment
by Jian Zhang, Bingbing Chen, Qianqian Yang, Heguo Yan, Niqin Xiao, Yundong Xu, Sanjin Zeng, Shengyi Zhao, Rong Wang, He Qian, Zhaohu Xie, Jing Xie and Zhaofu Li
Int. J. Mol. Sci. 2026, 27(13), 5757; https://doi.org/10.3390/ijms27135757 (registering DOI) - 25 Jun 2026
Abstract
Osteoporosis (OP) and osteoarthritis (OA) are two common degenerative musculoskeletal disorders associated with aging and are traditionally classified and managed as distinct disease entities. Emerging evidence suggests that OP and OA may share bidirectional associations and common biological mechanisms, and that under specific [...] Read more.
Osteoporosis (OP) and osteoarthritis (OA) are two common degenerative musculoskeletal disorders associated with aging and are traditionally classified and managed as distinct disease entities. Emerging evidence suggests that OP and OA may share bidirectional associations and common biological mechanisms, and that under specific pathological conditions they may develop into a mutually reinforcing comorbid state. The comorbidity of osteoporosis and osteoarthritis (OP–OA) is not a simple superimposition of bone loss and cartilage degeneration; rather, it represents a disorder of the osteochondral unit centered on disruption of the subchondral bone microenvironment. Alterations in the structural strength, remodeling dynamics, vascular and neural status, and bone marrow lesions of subchondral bone collectively reshape the local microenvironment, thereby directly affecting mechanical signal transmission and cellular behavior within the joint. Focusing on the subchondral bone microenvironment as the central pathological nexus, this review systematically summarizes how mechanical imbalance, aberrant bone remodeling, inflammatory activation, metabolic dysregulation, and cellular senescence jointly remodel the local niche in OP–OA comorbidity. These microenvironmental changes further induce phenotypic remodeling and fate deviation of bone marrow mesenchymal stem cells, bone remodeling-related cells, osteoimmune cells, and chondrocytes. On this basis, we integrate the regulatory roles of developmental signaling, mechanotransduction pathways, and inflammatory–immune signaling networks, and propose that microenvironment-driven cell fate plasticity may serve as a key mechanistic hub promoting the initiation and progression of OP–OA comorbidity as well as the persistent destabilization of the osteochondral unit. This perspective may help overcome the limitations of current studies that address OP and OA separately, and may provide a theoretical framework for early identification and stratification, biomarker discovery, and combined precision-targeted interventions for this comorbid condition. Full article
(This article belongs to the Special Issue Advanced Molecular Mechanism of Pathogenesis of Osteoarthritis)
29 pages, 1351 KB  
Review
Curcumin in Alzheimer’s Disease: From Mechanistic Insights to Translational Challenges and Emerging Curcuminoid Strategies
by Katarzyna Stępnik
Int. J. Mol. Sci. 2026, 27(13), 5754; https://doi.org/10.3390/ijms27135754 (registering DOI) - 25 Jun 2026
Abstract
Alzheimer’s disease (AD) is a multifactorial neurodegenerative disorder driven by complex interactions between protein aggregation, oxidative stress, neuroinflammation, and cellular dysfunction. Among plant-derived compounds, curcumin has emerged as one of the most extensively studied polyphenols due to its broad spectrum of biological activities. [...] Read more.
Alzheimer’s disease (AD) is a multifactorial neurodegenerative disorder driven by complex interactions between protein aggregation, oxidative stress, neuroinflammation, and cellular dysfunction. Among plant-derived compounds, curcumin has emerged as one of the most extensively studied polyphenols due to its broad spectrum of biological activities. This review provides a critical synthesis of the mechanistic, preclinical, and clinical evidence on curcumin in AD. Experimental studies consistently demonstrate that curcumin modulates key pathogenic processes, including neuroinflammatory signaling, oxidative stress, and amyloid-β aggregation, with more limited evidence for effects on tau pathology. While in vitro studies offer detailed mechanistic insights, in vivo models provide more integrated evidence, including improvements in cognitive performance and reductions in pathological markers. Despite this strong preclinical foundation, the clinical evidence remains limited and inconsistent. Randomized controlled trials have not demonstrated clear therapeutic efficacy, with outcomes strongly influenced by formulation, bioavailability, and study design. Poor solubility, rapid metabolism, and limited brain exposure remain key translational barriers. In response, increasing attention has been directed toward formulation strategies and structurally related compounds. Emerging curcuminoids, such as bisdemethoxycurcumin (BDMC), are discussed as potential next-generation candidates. Preliminary evidence suggests that BDMC may modulate oxidative stress, autophagy, astrocyte senescence, and amyloid-related processes, although the data remain largely preclinical. Overall, curcumin represents a mechanistically rich and preclinically promising multi-target compound but with unresolved translational limitations. Future research should prioritize pharmacokinetic optimization, formulation-dependent validation, and exploration of novel curcuminoid strategies to bridge the gap between experimental findings and clinical application in AD. Full article
20 pages, 1021 KB  
Article
Growth, Mineral Nutrition, and Yield Responses of Perilla frutescens to Bacillus- and Aspergillus-Based Amendments in Soils Affected by Radiocesium Contamination in Fukushima
by Salem Djedidi, Hideki Ishii, Takehisa Kumagai, Naoto Nihei and Youji Nitta
Crops 2026, 6(4), 61; https://doi.org/10.3390/crops6040061 (registering DOI) - 25 Jun 2026
Abstract
The Fukushima nuclear accident caused widespread radiocesium contamination, and subsequent decontamination reduced soil fertility by removing nutrient-rich topsoil. Although biological amendments have been widely investigated for soil improvement, their potential to restore crop productivity in decontaminated Fukushima soils remains poorly understood. This study [...] Read more.
The Fukushima nuclear accident caused widespread radiocesium contamination, and subsequent decontamination reduced soil fertility by removing nutrient-rich topsoil. Although biological amendments have been widely investigated for soil improvement, their potential to restore crop productivity in decontaminated Fukushima soils remains poorly understood. This study evaluated a Bacillus-based biofertilizer (Yume-Bio) and an Aspergillus fermentation product (kouji) as biological amendments for restoring crop productivity in decontaminated soils. Pot and field experiments were conducted to assess their effects on the growth, mineral nutrition, and seed yield of Perilla frutescens grown in decontaminated Fukushima soils. In pot experiments, Yume-Bio showed no significant effects on plant growth, although slight root improvement was observed. In contrast, application of kouji alone or in combination with Yume-Bio significantly enhanced plant growth, increasing leaf number by 112% and improving biomass production. Nutrient accumulation was also promoted, with total N and Fe increasing by 170% and 194%, respectively. In field experiments at two sites in Fukushima, treatment effects were limited and generally non-significant. These results indicate that kouji has potential to enhance plant growth under controlled conditions, while the effectiveness of biological amendments under field conditions remains site-dependent, highlighting the need to optimize application strategies under heterogeneous soil conditions. Full article
20 pages, 1722 KB  
Article
Association Between Endogenous Ketosis and Risk of Atrial Fibrillation in Intensive Care Versus General Ward Patients: A Retrospective Cohort Study
by Kellina Maduray and Jingquan Zhong
J. Clin. Med. 2026, 15(13), 4966; https://doi.org/10.3390/jcm15134966 (registering DOI) - 25 Jun 2026
Abstract
Background: Metabolic reprogramming in critical illness and the physiological stress of general hospitalization represent fundamentally different states, yet it remains unknown if ketosis acts as a protective shield or a maladaptive metabolic response in the development of atrial fibrillation (AF) across these [...] Read more.
Background: Metabolic reprogramming in critical illness and the physiological stress of general hospitalization represent fundamentally different states, yet it remains unknown if ketosis acts as a protective shield or a maladaptive metabolic response in the development of atrial fibrillation (AF) across these contexts. We examined urine and serum β-hydroxybutyrate measurements to understand the metabolic association among intensive care unit (ICU) and general hospital populations. Methods: This retrospective cohort study utilized the MIMIC-IV v3.1 database. Patients with preexisting AF or flutter were excluded. Ketosis was defined as urine ketone positivity (≥20 mg/dL) or serum β-hydroxybutyrate (≥1.0 mmol/L). The final analytic cohort included a general ward cohort (n = 13,641) and an ICU cohort (n = 10,251). Multivariable logistic regression, propensity score matching and subgroup analyses were performed. Results: In the ICU cohort, urine ketone positivity and elevated serum β-hydroxybutyrate were associated with lower incidence of AF (5.2% vs. 6.8%, p = 0.001; 3.1% vs. 9.4%, p = 0.034). After adjustment, urine ketone positivity remained independently associated with reduced odds of incident AF (adjusted OR 0.79, 95% CI 0.64–0.98, p = 0.032). Propensity-matched analyses demonstrated protective associations for urine ketones (OR 0.68, 95% CI 0.52–0.88, p = 0.004) and β-hydroxybutyrate (OR 0.24, 95% CI 0.08–0.70, p = 0.003). In contrast, urine ketone positivity in the general ward cohort was associated with higher incident AF (0.9% vs. 0.5%, p = 0.019) and increased adjusted odds (OR 2.62, 95% CI 1.03–6.66, p = 0.044). Urinary ketosis was associated with lower mortality and reduced inflammatory marker profiles across both the ICU and general ward cohorts. Subgroup analyses revealed directionally consistent ketone-AF associations across biological sex with no significant interaction effects. Conclusions: Endogenous ketones demonstrated a context-dependent association with incident AF across clinical acuity levels. These findings highlight ketone metabolism as a potential target for both arrhythmia monitoring and prevention. Full article
(This article belongs to the Section Cardiology)
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40 pages, 68128 KB  
Article
DenseFish-v13: A Symmetry-Aware NMS-Free YOLOv13-Mamba Framework for Dense Underwater Fish Detection and Bio-Kinematic Behavior Recognition
by Yujie Chen, Jiabao Wu, Maoyuan Sun, Yiping Ma, Zhiqian Li, Zeqi Ma, Yang Xiong, Yichen Wang, Xiaoyin Guo and Shuai Huang
Symmetry 2026, 18(7), 1084; https://doi.org/10.3390/sym18071084 (registering DOI) - 25 Jun 2026
Abstract
Dense underwater aquaculture poses significant challenges for intelligent image processing because asymmetric occlusion, turbidity, aeration-like bubbles, and motion blur frequently degrade fish contours and quasi-periodic scale textures. These disturbances often cause conventional detectors to miss detections, merge bounding boxes, experience feature collapse, and [...] Read more.
Dense underwater aquaculture poses significant challenges for intelligent image processing because asymmetric occlusion, turbidity, aeration-like bubbles, and motion blur frequently degrade fish contours and quasi-periodic scale textures. These disturbances often cause conventional detectors to miss detections, merge bounding boxes, experience feature collapse, and exhibit unstable counting. To address this problem, we propose DenseFish-v13, a symmetry-aware NMS-free YOLOv13-Mamba framework for dense underwater fish detection and bio-kinematic behavior recognition. The framework integrates a Bio-Harmonic Frequency Gate to preserve biological texture patterns while suppressing bubble-like frequency noise, a Bi-directional Multi-scale Wavelet Mamba backbone for global occlusion-aware structure recovery, and an asymmetry-aware density repulsion strategy to separate highly overlapping fish instances during bipartite matching. In addition, a lightweight Bio-Kinematic Behavior Head converts continuous detections into interpretable trajectory descriptors for behavior-state recognition. Experiments on the Dense-Aqua benchmark, constructed from public aquaculture datasets, show that DenseFish-v13 achieves 64.8% mAP@50:95 and a Counting MAE of 3.7 on the overall test set, while reaching 64.2% mAP@50:95 and a Counting MAE of 4.1 on the extreme-density split. Under a strong synthetic bubble perturbation, the model shows only a 1.3 percentage-point drop in mAP and maintains 125 FPS on Jetson Orin NX. These results demonstrate its effectiveness in robust, real-time underwater aquaculture monitoring. Full article
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25 pages, 11324 KB  
Article
Pathogenic Potential of Pseudoxanthomonas kaohsiungensis Strain IMB-1 Based on Whole-Genome Sequencing
by Natalia Belkova, Nadezhda Smurova, Raisa Zugeeva, Elizaveta Klimenko, Ekaterina Grigorova, Marina Dorzhieva and Uliana Nemchenko
Biology 2026, 15(13), 1010; https://doi.org/10.3390/biology15131010 (registering DOI) - 25 Jun 2026
Abstract
Mass spectrometry and high-throughput sequencing have been introduced into clinical bacteriology. We characterized strain IMB-1, previously isolated from the cerebrospinal fluid of a child, as Pseudoxanthomonas kaohsiungensis and analyzed its biological properties, resistance phenotype, and complete genome. The IMB-1 strain displayed amylolytic, weak [...] Read more.
Mass spectrometry and high-throughput sequencing have been introduced into clinical bacteriology. We characterized strain IMB-1, previously isolated from the cerebrospinal fluid of a child, as Pseudoxanthomonas kaohsiungensis and analyzed its biological properties, resistance phenotype, and complete genome. The IMB-1 strain displayed amylolytic, weak lipolytic activities, and it exhibited a phenotypic resistance profile only for aminoglycosides. The dDDH calculation based on the complete genome sequence showed that strain IMB-1 was closely grouped with the type strain P. kaohsiungensis DSM 17583, and the dDDH (d4) value was 70.1%. A comparative pan-genome analysis was performed for four P. kaohsiungensis genomes, revealing a substantial shared core genome. The IMB-1 genome contained 508 unique gene clusters, representing the largest strain-specific gene set among the analyzed genomes, suggesting genomic plasticity and adaptation to the host-associated environment. Genome annotation revealed genes responsible for antibiotic, disinfecting agent, and antiseptic resistance. Gene clusters exhibiting the potential to form biofilms, adhere to the epithelial surface, and exhibit resistance to stress factors were identified. Our study demonstrates that strain IMB-1 is a potential opportunistic pathogen with significant pathogenic potential. The application of high-resolution whole-genome sequencing data in public health for pathogen identification and monitoring can improve the accuracy of infection source determination, reduce the scale and burden of outbreaks, and identify and quantify antimicrobial resistance in pathogens. Full article
(This article belongs to the Special Issue Research Progress in Microbial Genetics and Genomics)
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32 pages, 46195 KB  
Article
Adaptive E-Nose: Integrating New Gas Sensors for Emerging Applications
by Namkha Gyeltshen, Adrian Garrido Sanchis, Nishant Jagannath, Savindu Radaliyagoda, Sonam Tobgay, Md Farhad Hossain and Kumudu Munasinghe
Sensors 2026, 26(13), 4049; https://doi.org/10.3390/s26134049 (registering DOI) - 25 Jun 2026
Abstract
Conventional chemical analysis relies on costly laboratory instrumentation, while current e-nose systems are expensive for widespread deployment. New opportunities for low-cost, accessible e-nose applications are emerging for diverse fields due to the rapid evolution of inexpensive sensor technologies. We developed a framework that [...] Read more.
Conventional chemical analysis relies on costly laboratory instrumentation, while current e-nose systems are expensive for widespread deployment. New opportunities for low-cost, accessible e-nose applications are emerging for diverse fields due to the rapid evolution of inexpensive sensor technologies. We developed a framework that enables rapid integration of newly available low-cost gas sensors into functional e-nose systems, continuously evaluating them as they become commercially available. By characterizing their performance in multi-sensor arrays that mimic biological olfaction, the framework demonstrates effective odor discrimination in a low-cost e-nose system through coordinated behavior of a heterogeneous sensor array. Our testing approach includes sensor sensitivity, selectivity, and stability, which are to be combined with appropriate pattern recognition and AI algorithms in the future for effective chemical discrimination. This work provides a pathway for continuously updating e-nose technology with the latest available sensors in a cost-effective manner, thereby making advanced chemical sensing accessible for resource-limited settings and enabling large-scale deployment in real-world applications with future potential applications such as food quality monitoring, environmental sensing, smart agriculture, etc. Full article
(This article belongs to the Section Chemical Sensors)
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36 pages, 1274 KB  
Review
Unveiling the Mysteries of CLEC3B: Physiological Roles, Pathological Impacts, and Research Gaps
by Le Li and Liang Guo
Cells 2026, 15(13), 1160; https://doi.org/10.3390/cells15131160 (registering DOI) - 25 Jun 2026
Abstract
CLEC3B (C-type lectin domain family 3 member B), also known as tetranectin (TN), is a secreted trimeric protein containing a C-type lectin-like domain (CTLD). Located on chromosome 3p21.31. CLEC3B maintains organismal homeostasis through roles in immune regulation, angiogenesis, and musculoskeletal biology. Genetic studies [...] Read more.
CLEC3B (C-type lectin domain family 3 member B), also known as tetranectin (TN), is a secreted trimeric protein containing a C-type lectin-like domain (CTLD). Located on chromosome 3p21.31. CLEC3B maintains organismal homeostasis through roles in immune regulation, angiogenesis, and musculoskeletal biology. Genetic studies demonstrate that CLEC3B deficiency impairs tissue repair, bone mineralization, and fibrinolytic balance. Altered CLEC3B expression is linked to cardiovascular disease progression, autoimmune susceptibility, and cancer prognosis. This review synthesizes CLEC3B’s biological functions and evaluates its translational potential: circulating CLEC3B as a prognostic and diagnostic biomarker; tissue-resident CLEC3B as a predictive marker for therapeutic response; and CLEC3B-related pathways as candidate therapeutic targets for potential amenable to replacement or inhibition strategies. We identify critical research gaps to guide future investigations, including limited structural data, ambiguous glycan specificity, incomplete proteolytic network mapping, and lack of validated disease models. Collectively, these gaps currently preclude definitive therapeutic claims. Full article
(This article belongs to the Topic Advances in Gene Therapy of Human Diseases)
30 pages, 7506 KB  
Review
Tumor Treating Fields and the Glioblastoma Microenvironment: Mechanistic Convergences with Radiotherapy
by Flavio Donnini, Giuseppe Battaglia, Salvatore Chibbaro, Francesco Marampon, Giuseppe Minniti and Paolo Tini
Cancers 2026, 18(13), 2069; https://doi.org/10.3390/cancers18132069 (registering DOI) - 25 Jun 2026
Abstract
Glioblastoma (GBM) remains the most lethal primary brain tumor in adults, with a median overall survival of approximately 15–20 months despite multimodal treatment including surgery, chemoradiation, and Tumor Treating Fields (TTFields). While the survival benefit of TTFields was established by the EF-14 phase [...] Read more.
Glioblastoma (GBM) remains the most lethal primary brain tumor in adults, with a median overall survival of approximately 15–20 months despite multimodal treatment including surgery, chemoradiation, and Tumor Treating Fields (TTFields). While the survival benefit of TTFields was established by the EF-14 phase III trial, their biological effects extend well beyond the canonical anti-mitotic mechanism and encompass extensive interactions with the GBM tumor microenvironment (TME). This review provides an integrated mechanistic analysis of TTFields–TME interactions in GBM, with a distinctive focus on their convergence with radiotherapy. We examine how TTFields activate innate immune sensing through cGAS/STING and AIM2 inflammasome pathways, drive immunogenic cell death, reprogram tumor-associated macrophages, and prime adaptive T cell responses. We further address TTFields effects on glioma stem cells, blood–brain barrier permeability, and intracellular signaling governing invasion, angiogenesis, and autophagy. Critically, we develop the mechanistic and clinical case for TTFields-radiotherapy combinations, highlighting convergent mechanisms of DNA repair impairment, mitotic catastrophe, and innate immune activation. Practical considerations for concurrent clinical implementation are discussed alongside a research agenda centered on optimal timing, hypofractionation, and predictive biomarkers. Available evidence—largely preclinical—suggests that TTFields may act as a TME-remodeling platform whose potential is most likely to be realized through mechanistically informed combinations. Full article
(This article belongs to the Special Issue Radiosensitivity and Radiotoxicity in Cancer)
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10 pages, 2829 KB  
Communication
Calcium Hydroxyapatite Biostimulators: A Comparative Study of Biological Response and Particle Morphology
by Valéria Dal Col and Bibiana Franzen Matte
Biomedicines 2026, 14(7), 1447; https://doi.org/10.3390/biomedicines14071447 (registering DOI) - 25 Jun 2026
Abstract
Background/Objectives: Calcium hydroxyapatite (CaHA)-based injectable materials are widely used as dermal biostimulators. In vitro models allow for controlled comparison of cellular responses and particle characteristics across formulations. This study aimed to compare two commercially available CaHA-based materials in terms of fibroblast metabolic activity, [...] Read more.
Background/Objectives: Calcium hydroxyapatite (CaHA)-based injectable materials are widely used as dermal biostimulators. In vitro models allow for controlled comparison of cellular responses and particle characteristics across formulations. This study aimed to compare two commercially available CaHA-based materials in terms of fibroblast metabolic activity, extracellular matrix-related gene expression, and microsphere morphology. Methods: Primary human dermal fibroblasts were exposed to two CaHA-based materials (Sample R and Sample S) at 10 mg/mL. Metabolic activity was assessed using the MTT assay at 24, 36, 48, and 72 h. Type I collagen and elastin gene expression were evaluated by RT-qPCR at 72 h. Microsphere morphology was analyzed by scanning electron microscopy (SEM). Results: Both materials increased fibroblast metabolic activity compared with the control at all time points. Early responses were similar, whereas Sample S showed higher activity at 48 and 72 h. At 72 h, both materials increased collagen and elastin gene expression versus the control, with greater responses observed for Sample S. SEM analysis showed predominantly spherical microspheres in both materials, with qualitative differences in surface microtopography. Conclusions: Under controlled in vitro conditions, both CaHA-based materials were biocompatible and modulated fibroblast metabolic activity and extracellular matrix-related gene expression. Differences in particle surface characteristics may contribute to the observed biological profiles. These findings support further studies incorporating extended incubation periods and protein-level analyses. Full article
(This article belongs to the Section Biomedical Engineering and Materials)
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16 pages, 3580 KB  
Article
A Simplified Synthetic Community of Indigenous Rhizobacteria Enhances Tomato Growth, Fruit Yield and Quality, and Suppresses Bacterial Wilt Under Continuous Cropping in Northwest China
by Yuze Guo, Jianyu Meng, Yang Liu, Yu Tao, Kai Tang, Yungang Liang and Fuying Feng
Horticulturae 2026, 12(7), 780; https://doi.org/10.3390/horticulturae12070780 (registering DOI) - 25 Jun 2026
Abstract
Continuous cropping obstacles (CCOs) seriously constrain tomato yield and quality in facility agriculture, primarily due to rhizosphere microbial imbalance. Indigenous synthetic microbial communities (SynCom) offer superior colonization and stability compared to single strains. This study aimed at constructing a simplified SynCom from indigenous [...] Read more.
Continuous cropping obstacles (CCOs) seriously constrain tomato yield and quality in facility agriculture, primarily due to rhizosphere microbial imbalance. Indigenous synthetic microbial communities (SynCom) offer superior colonization and stability compared to single strains. This study aimed at constructing a simplified SynCom from indigenous rhizobacteria in Northwest China to alleviate tomato CCOs. A total of 155 rhizobacterial strains (29 genera) were isolated. Sixteen strains with significant growth-promoting effects were selected through seedling assays. Based on the carbon source niche overlap index (NOI > 70%) with Ralstonia solanacearum QL-Rs1115, eight candidate strains were retained. Using the broken-stick model, 29 simplified SynComs were constructed. SynCom28, composed of six functionally complementary strains (Azospirillum brasilense, Massilia niabensis, Enterobacter hormaechei, Chryseobacterium sp., Priestia megaterium and Pseudomonas brassicacearum), showed the best performance. Pot experiments revealed that SynCom28 reduced the bacterial wilt disease index to 32.41, with a biocontrol efficacy of 41.72%. Greenhouse trials under continuous cropping demonstrated that SynCom28 significantly increased seedling Dickson quality index (DQI), stem diameter and biomass. Fruit yield increased by 12.98–15.30% across the 2nd to 4th cropping cycles (p < 0.05). Fruit quality parameters were also enhanced, with soluble sugar, lycopene, and vitamin C contents increasing by 47.22–65.07%, 33.07–81.71% and 80.56–166.67%, respectively. In conclusion, the indigenous simplified SynCom28 effectively alleviates tomato CCOs, enhancing growth, yield, and quality while suppressing bacterial wilt, providing a promising strategy for sustainable facility agriculture. Full article
(This article belongs to the Section Biotic and Abiotic Stress)
20 pages, 2210 KB  
Article
Comprehensive Phytochemical Characterization and Quality Evaluation of Taxillus chinensis via Integrated Widely Targeted Metabolomics, HPLC Fingerprinting, and Multi-Component Quantification
by Zhouwei Li, Hongfei Wei, Jiahui Wu, Qiyuan Yang, Jiemei Liang, Xiaoxun Wang and Li Li
Metabolites 2026, 16(7), 446; https://doi.org/10.3390/metabo16070446 (registering DOI) - 25 Jun 2026
Abstract
Background/Objectives: This study aims to establish a systematic phytochemical characterization and quality evaluation method to systematically evaluate the influence of multiple factors on the chemical composition of Taxillus chinensis, thereby providing a scientific basis for its development, utilization, and quality control standards. [...] Read more.
Background/Objectives: This study aims to establish a systematic phytochemical characterization and quality evaluation method to systematically evaluate the influence of multiple factors on the chemical composition of Taxillus chinensis, thereby providing a scientific basis for its development, utilization, and quality control standards. Methods: To ensure a targeted and representative metabolic screening, six representative batches covering the major geographical origins and host plants were selected for initial metabolomic profiling. An integrated analytical approach combining UPLC-MS/MS-based widely targeted metabolomics, HPLC fingerprinting, and multi-component quantitative analysis with multivariate statistical analysis was employed. Results: Significant quality variations were identified across the samples. Metabolomics results indicated that while chemical component types were qualitatively consistent across growth conditions, their contents varied significantly. Unique differential metabolites clustered according to specific geographical origins or host plants. KEGG pathway analysis revealed that geographical origin primarily regulated phenylpropanoid biosynthesis, whereas host differences mainly influenced flavonoid and monoterpenoid biosynthesis. Furthermore, HPLC fingerprinting of 20 batches demonstrated similarities greater than 0.9, with 15 common peaks determined. Based on their high relative abundance, differential significance across samples, and documented pharmacological relevance to the herb’s traditional efficacy, six bioactive components—gallic acid, catechin, epicatechin, hyperoside, isoquercitrin, and quercitrin—were identified and quantified. Notably, samples originating from Wuzhou exhibited the highest total content of these components. Consistent with PCA and HCA results, gallic acid, hyperoside, isoquercitrin, and quercitrin were identified as potential markers driving quality differences. Conclusions: This integrated approach allows for a systematic analytical screening of Taxillus chinensis, clarifying chemical variations caused by environmental and biological factors, and supporting the standardization and comprehensive utilization of this medicinal plant. Full article
(This article belongs to the Topic Metabolomics in Plants)
20 pages, 853 KB  
Review
Lactic Acid Bacteria-Derived Antimicrobial and Anti-Biofilm Strategies: Mechanisms, Functional Molecules, and Emerging Biomaterial Applications
by Weichen Gong, Harum Fadhilatunnur, Miaya Kanazawa, Julio Villena, Keita Nishiyama and Haruki Kitazawa
Int. J. Mol. Sci. 2026, 27(13), 5749; https://doi.org/10.3390/ijms27135749 (registering DOI) - 25 Jun 2026
Abstract
Lactic acid bacteria (LAB), particularly members of the genus Lactobacillus, have emerged as promising biological agents with antimicrobial and anti-biofilm properties. While numerous individual studies have reported their inhibitory effects against pathogenic microorganisms, a systematic understanding that integrates their functional components, molecular [...] Read more.
Lactic acid bacteria (LAB), particularly members of the genus Lactobacillus, have emerged as promising biological agents with antimicrobial and anti-biofilm properties. While numerous individual studies have reported their inhibitory effects against pathogenic microorganisms, a systematic understanding that integrates their functional components, molecular mechanisms, and material-based applications remains lacking. In this review, we provide a comprehensive and component-oriented overview of LAB-mediated antimicrobial strategies. We first summarize secreted factors, including organic acids, bacteriocins, hydrogen peroxide, and extracellular vesicles, which collectively contribute to direct pathogen inhibition and environmental modulation. We then discuss cell-associated components such as surface-layer proteins and exopolysaccharides, highlighting their roles in adhesion interference and competitive exclusion. In addition, we examine whole-cell effects, including niche competition, quorum sensing disruption, and host immune modulation. Importantly, we place particular emphasis on the anti-biofilm activity of lactobacilli, detailing mechanisms involved in the prevention of the pathogen initial adhesion, disruption of extracellular polymeric substance matrices, and destabilization of mature biofilms. Finally, we explore emerging strategies that integrate lactobacilli with biomaterials, particularly hydrogel-based systems, to achieve controlled delivery, enhanced stability, and sustained antimicrobial activity. These biohybrid approaches represent a promising direction for the development of next-generation antimicrobial materials. These findings support the concept of LAB-based living antimicrobial materials as a next-generation strategy to combat biofilm-associated infections. Overall, this review aims to bridge the gap between molecular functions and translational applications of lactobacilli, providing new insights into its potential as a versatile platform for antimicrobial and anti-biofilm interventions. Full article
(This article belongs to the Special Issue Antimicrobial Materials: Molecular Developments and Applications)
19 pages, 956 KB  
Article
New Hybrid Benzothiazole Derivatives from Gallic and Syringic Acid as a Potential Multifunctional Skin Disease
by Leonardo Montani, Chiara Tupini, Filippo Marchetti, Alessandra Rizzo, Silvia Vertuani, Stefano Manfredini, Ilaria Lampronti and Anna Baldisserotto
Molecules 2026, 31(13), 2245; https://doi.org/10.3390/molecules31132245 (registering DOI) - 25 Jun 2026
Abstract
Multifunctional drugs represent an emerging strategy for treating complex skin disorders and melanoma. A series of benzothiazole-based hybrids incorporating gallic and syringic acid moieties was synthesized and evaluated as multifunctional agents for skin-related applications. Six hydrazone (GAHYDR1–3) and acyl-hydrazone (GACIN1–3 [...] Read more.
Multifunctional drugs represent an emerging strategy for treating complex skin disorders and melanoma. A series of benzothiazole-based hybrids incorporating gallic and syringic acid moieties was synthesized and evaluated as multifunctional agents for skin-related applications. Six hydrazone (GAHYDR1–3) and acyl-hydrazone (GACIN1–3) derivatives were obtained and fully characterized. Hydroxylated compounds showed the strongest antioxidant activity, with GAHYDR1 and GACIN1 displaying low DPPH IC50 values and high FRAP reducing power. UV–Vis studies revealed strong UVA–UVB absorption, with molar extinction coefficients comparable to or exceeding those of PBSA. Photoprotective evaluation showed SPF values up to 10.09 (GACIN2) and broad-spectrum behavior for selected derivatives. Antioxidant activity remained substantially stable over 3 months in solution. Antiproliferative assays against Colo38, A375, and HaCaT cell lines indicated generally low cytotoxicity toward non-tumor cells. Notably, GAHYDR3 exhibited selective activity against A375 melanoma cells (IC50 = 8.75 µM; SI = 8.12). Overall, phenolic substitution emerged as a key determinant of biological activity, highlighting hydroxylated benzothiazole hybrids as promising antioxidant and photoprotective agents, with GAHYDR3 representing a potential lead for anti-melanoma development. Full article
(This article belongs to the Special Issue Heterocycles in Medicinal Chemistry, 4th Edition)
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