Biomedical Technology最新文献

Gas therapy is currently popular in cancer treatment because of its controllability, effectiveness, and biosafety, as well as the fast development of carriers for gas delivery. Here, we introduce the various gas molecules with exact anticancer effects, including nitric oxide (NO), carbon monoxide (CO), oxygen (O₂), hydrogen (H₂), etc., and their anticancer mechanisms. Besides, recent advances in stimuli-responsive delivery systems for gas therapy are summarized. In terms of the various stimulation methods, the design of delivery systems for gases is introduced. In addition, the strategies of gas therapy combined with other therapeutic modalities, including chemotherapy, radiotherapy (RT), photodynamic therapy (PDT), photothermal therapy (PTT), etc., are described. Finally, the current challenges and prospects of delivery platforms for gases, and the future development and clinical translational value of gas therapy are also discussed.

Bioassay technology has been proved important in the field of environmental monitoring, disease diagnosis and clinical treatment. At present, diverse bioassay technologies have achieved reliability, rapid responsiveness, convenient operation, along with high sensitivity, and specificity. Among them, micro-nano structure particles-based bioassay will inevitably play an important role for future development. Especially, compared with typical solid, porous or hollow particles, hierarchical particles are featured with hierarchical configurations and considerable surface area, and thus have gained extensive research interest as ideal scaffolds for biological, medical and catalytic applications in biomedicine. In this review, we present the recent advances in bio-inspired hierarchical particles. After introducing a variety of hierarchical particles and their synthesis methods, we focus on their applications in multiple biological detections of different targets such as proteins, DNA, RNA, exosomes and cells. In addition, the highlighted applications of hierarchical particles in bioassays for clinical diagnosis are also summarized and prospected.

The study focuses on developing a new way to deliver the narcolepsy medication pitolisant. Electrospinning was used to make polyvinyl alcohol (PVA) and hyperbranched polyglycerol (HPG) polymers into pitolisant nanofibers (PT-NF). A design expert created the best formulation to optimise the process variables like applied voltage, distance, and feed rate. The nanofibers were characterised using scanning electron microscopy, X-ray diffraction, FT-IR, entrapment efficiency, and in-vitro drug release studies. Results showed that the optimal PT-NF formulation had an average diameter of 172 ​nm with an entrapment efficacy of 95 ​% and 92 ​% drug release within 45 ​min. HPG polymer was included in the optimised formulation, whose average fibre diameter was 118 ​nm with 98 ​% entrapment efficacy and 98 ​± ​2 ​% drug release within 30 ​min. These findings strongly suggest that PT nanofibers hold substantial promise as a viable alternative to conventional solid dosage forms for brain-targeted administration, especially when administered via a transdermal patch to a patient during sleep.

Wound healing is a complex process that involves a variety of physical, chemical, and biological processes. Because of their remarkable characteristics and capabilities, nanomaterials have recently emerged as potential therapeutic agents for wound healing. Many different nanomaterial-based wound-healing treatments have been created and put into widespread use. In this review, we compile the most recent research on cutting-edge nanomaterials for wound healing, including both organic and inorganic nanomaterials. We highlight prospective approaches for developing nanomaterial-based wound healing therapy procedures and talk about the benefits and limitations of these treatments. Future prospects for wound healing therapies based on nanomaterials are discussed, including the need to address toxicity concerns, the scalability of production, and the long-term stability of nanomaterials. The safety and effectiveness of nanomaterials depend on further investigation into their design, interactions with biological systems, and the results of rigorous preclinical and clinical trials. There is great potential for a dramatic improvement in patient outcomes with the introduction of nanomaterial-based wound healing therapies.

Fragment reattachment for crown root fractures has become a routinely employed treatment modality with the advancements in adhesive dentistry. Among the majority of documented dental trauma cases, this specific fracture type is one of the most prevalent and difficult fracture kinds. Due to its complexity, these fracture kinds are often not computationally modelled. Moreover, there is a lack of literature to understand the effect of different adhesive materials, used to re-attach this particular fracture, on traumatic injuries. In our work, 3D models of the permanent maxillary central incisor tooth were developed using cone beam computed tomography image of a patient. This model was systematically modified to represent a prominent crown root fracture and subsequently re-attached computationally using three different adhesives. A biting force and a traumatic load were applied, and the induced stresses were studied across the healthy and treated tooth models and compared for three different adhesives used for re-attachment of fractured fragments. Tooth reattached with resin adhesive performed better in all the loading conditions that were considered in the study as compared to flowable composite and resin cement.

This review evaluates the literature on nanoparticle-based drug delivery systems for cancer treatment and assesses their efficacy. Nanoparticles have shown potential for improving anticancer agent delivery, reducing systemic toxicity, and enhancing therapeutic outcomes. Extensive studies have shown promising results in preclinical and clinical trials. However, challenges such as limited drug loading capacity, stability issues, and potential side effects need to be addressed to enhance clinical translation. Researchers are exploring strategies to improve drug loading capacity, such as modifying nanoparticle surfaces or developing novel drug encapsulation techniques. By increasing drug loading, the therapeutic efficacy of these systems can be significantly enhanced. Stability issues also pose a hurdle in clinical translation. To overcome stability issues, researchers are investigating methods to enhance the stability of nanoparticles, such as using protective coatings or optimising the formulation. Additionally, efforts are being made to minimise potential side effects by carefully selecting biocompatible materials for nanoparticle synthesis and conducting rigorous toxicity studies before moving forward with clinical trials.

Objective

To precisely assess preoperative osteoporosis in patients, a more precise method for evaluating osteoporosis is being developed to better guide the use of bone cement reinforced screws.

Method

The retrospective analysis was conducted on patients who underwent posterior lumbar decompression and fusion internal fixation at Shanghai Tongren Hospital.The general information, bone mineral density assessment data, Fracture risk prediction rate(WHO Fracture Risk Assessment Tool (FRAX)), and whether to use cement reinforced screws were collected. Definition of combination method: T value ​< ​−2.5 or HU value ​< ​110 or VBQ >3.5.The diagnostic rates of osteoporosis were compared between dual energy x-ray absorptiometry(DXA), Hounsfield Units(HU), Vertebral Bone Quality (VBQ), National Bone Health Alliance(NBHA), and combination methods, and the correlation between different methods was analyzed. Binary logistic regression was used to analyze the significant influencing factors of the use of cement-reinforced screws.

Result

A total of 178 patients were enrolled in the study, aged 65.73 ​± ​14.43 years, 121 female, 57 male, Body Mass Index(BMI) was 22.88 ​± ​3.52, 57 (32.0%) used cement reinforced screws, and 14 (7.9%) had previous fracture history.The diagnostic rates of osteoporosis by DXA, HU, VBQ, NBHA and combination method were 22.5% (40/178), 47.2% (84/178), 56.2% (100/178), 64.0% (114/178) and 75.8% (135/178), respectively.HU, VBQ, NBHA, and combination methods were significantly different from DXA in the diagnosis rate of osteoporosis (P ​< ​0.001). Binary Logistics regression showed that age, T value, HU value, and VBQ value significantly influenced bone cement screw use, and the odds ratio of VBQ was 4.315. The prediction accuracy of the regression equation was 90.4%, the area under the receiver operator characteristic(ROC) curve was 0.974, and the Youden index was 0.830.

Conclusion

Currently, the DXA method widely used for diagnosing osteoporosis yields false negative results and there are significant discrepancies among different diagnostic methods. The combined approach exhibits a higher detection rate (75.8%). Age, T value, HU value, and VBQ value significantly influence the use of cement screws with a regression equation accuracy of 90.4%. Cement-reinforced screws are recommended when osteoporosis is determined by a combination method.

The concept of minimally invasive liver surgery has been widely accepted due to the advantages of fast recovery. Robotic hepatectomy is different from laparoscopic hepatectomy due to its fixed joint instruments, operation mode and magnification. This manuscript aims to compare the safety and efficacy of robotic and laparoscopic hepatectomy in the treatment of liver diseases. In this manuscript, we retrospectively studied 246 patients (143 with robotic hepatectomy and 103 with laparoscopic hepatectomy). The clinical basic information, operation time, intraoperative bleeding, conversion to laparotomy, postoperative hospital stay, anal exhaust time, postoperative eating time, ambulation time, and postoperative hematological indicators were analyzed. Robotic hepatectomy has certain advantages in shortening the length of hospital stay (4.9 ​± ​1.3 VS 6.8 ​± ​2.2 days, P ​< ​0.001) and reducing intraoperative bleeding (174.8 ​± ​142.7 VS 341.2 ​± ​187.3 ​ml, P ​< ​0.001) compared with laparoscopic hepatectomy. It is demonstrated that robotic hepatectomy is an outstanding surgical strategy for clinical application.

Fenton and Fenton like reaction have been well clarified as efficient reactive oxygen species (ROS) sources in tumor, and have been widely developed into a cancer treatment method. Meanwhile, transition metal-based nanomaterials with Fenton or Fenton like reaction characteristics also have been well explored as therapeutic agents for the cancer therapy, mainly in chemo-dynamic and ferroptosis induced cancer therapy. Herein,to summarize recent advances in Fenton and Fenton like reaction mediated nanoparticles for cancer therapy, in this minireview, we first introduced the mechanisms of Fenton and Fenton like reaction and two therapeutic methods based on Fenton and Fenton like reaction, and then we introduced the well-designed nanoparticles with Fenton reaction or Fenton-like reaction characteristics for the cancer therapies. Finally its challenges and perspectives are discussed.

Hepatocellular carcinoma (HCC) is the second leading cause of cancer death from worldwide. Thus, it is imperative to clarify valuable diagnostic and prognostic biomarkers for early-stage HCC. The expression of Keratin 17 (KRT17) has been reported to be associated with certain cancer types previously. However, its role in the development of HCC has not been fully clarified. Here, we assessed the expression of KRT17 in the cancer genome atlas liver hepatocellular carcinoma (TCGA LIHC) database and in 44 pairs of samples collected from patients with HCC. In addition, Kaplan-Meir curves were used to assess the prognostic relevance of KRT17. The essential cancer- and KRT17-related biological processes were defined through gene set enrichment analysis (GSEA). Finally, the functional association between KRT17 expression and tumor cell proliferation/survival was evaluated and the signaling pathways associated with KRT17 expression in HCC were identified. Overall, we found that increased KRT17 levels were associated with lower survival, more aggressive disease, and altered immune cell infiltration in HCC patients. KRT17 may potentially act as a prognostic biomarker in HCC.