Dan Li

Mildly elevated CA19‑9 levels (37–300 U mL ⁻¹ ) define a diagnostic grey zone causing patient anxiety and overdiagnosis. Many nanobiosensing studies pursue lower detection limits rather than clinical reliability within this ambiguous interval.

Neck pain is among the most prevalent musculoskeletal disorders affecting the general population. During the 2019 coronavirus disease 2019 (COVID-19) pandemic, students have increasingly resorted to online learning, requiring prolonged use of electronic devices. This study aimed to investigate the prevalence of and factors influencing neck pain during online learning. The study employed a cross-sectional design. Eligible participants were nursing students who had been receiving online instruction for a duration exceeding 3 months. To develop the study instrument, the researchers integrated the study objectives with insights from an extensive literature review. This process culminated in the creation of a comprehensive online questionnaire designed to capture relevant data. The prevalence of neck pain among students was analyzed for both the pre-COVID-19 and during COVID-19 periods. The chi-square test was utilized to compare the occurrence of neck pain between these 2 periods, while binary logistic regression was employed to examine the association between various influencing factors and neck pain. This study revealed that out of the 426 students who participated in the study, 391 were female (91.8%) and 35 were male (8.2%). The prevalence of neck pain during online learning (62.7%) was significantly higher than before online learning (37.3%) (P < .05). A significant correlation was also found between neck pain and learning while lying on a bed or table, duration of use of electronic devices, and exercising habits (P < .05). The prevalence of neck pain among students has significantly increased during the COVID-19 pandemic. Future research should focus on evaluating the long-term impact of distance learning on undergraduate students. Additionally, it is imperative to develop and implement targeted intervention programs based on the identified influencing factors to mitigate the prevalence of neck pain and alleviate neck discomfort.

The increasing expense and complexity of conventional physical exams may lead to delayed disease diagnoses, creating substantial difficulties for many patients. In response, smartphone-based sensing technologies have emerged, offering a promising solution to make health diagnostics more accessible. Perovskite-based nanomaterials stand out with their adaptable structure, making them an important player in sensor enhancement due to their wide-ranging sensing capabilities and excellent physicochemical characteristics. While perovskites demonstrate advantageous optoelectronic properties, fortifying their stability is a crucial aspect that continues to be a central theme in current research and development endeavors. This article examines the advancement of smartphone-based sensors via the incorporation of Perovskite-based nanomaterials and suggests strategies for further optimizing their characteristics. It provides a detailed overview of their applications in different smartphone sensing areas, including but not limited to optical and photothermal-pyroelectric methods. Our in-depth analysis highlights the crucial role of Perovskite-based nanomaterials in the development of devices and the complexity of sensor manufacturing. We also explore their potential in seamlessly integrating with wearable devices connected to smartphones, thus streamlining the diagnosis process. Moreover, we anticipate their revolutionary impact in advancing smartphone sensors. This combination is poised to establish a more accessible and unified method for health monitoring.

Nanozymes have captured significant attention as a versatile and promising alternative to natural enzymes in catalytic applications, with wide-ranging implications for both diagnosis and therapy. However, the limited selectivity exhibited by many nanozymes presents challenges to their efficacy in diagnosis and raises concerns regarding their impact on the progression of disease treatments. In this article, we explore the latest innovations aimed at enhancing the selectivity of nanozymes, thereby expanding their applications in theranostic nanoplatforms. We place paramount importance on the critical development of highly selective nanozymes and present innovative strategies that have yielded remarkable outcomes in augmenting selectivities. The strategies encompass enhancements in analyte selectivity by incorporating recognition units, refining activity selectivity through the meticulous control of structural and elemental composition, integrating synergistic materials, fabricating selective nanomaterials, and comprehensively fine-tuning selectivity via approaches such as surface modification, cascade nanozyme systems, and manipulation of external stimuli. Additionally, we propose optimized approaches to propel the further advancement of these tailored nanozymes while considering the limitations associated with existing techniques. Our ultimate objective is to present a comprehensive solution that effectively addresses the limitations attributed to non-selective nanozymes, thus unlocking the full potential of these catalytic systems in the realm of theranostics.

Countless individuals have fallen victim to the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and have generated antibodies, reducing the risk of secondary infection in the short term. However, with the emergence of mutated strains, the probability of subsequent infections remains high. Consequently, the demand for simple and accessible methods for distinguishing between different variants is soaring. Although monitoring viral gene sequencing is an effective approach for differentiating between various types of SARS-CoV-2 variants, it may not be easily accessible to the general public. In this article, we provide an overview of the reported techniques that use combined approaches and adaptable testing methods that use editable recognition receptors for simultaneous detection and distinction of current and emerging SARS-CoV-2 variants. These techniques employ straightforward detection strategies, including tests capable of simultaneously identifying and differentiating between different variants. Furthermore, we recommend advancing the development of uncomplicated protocols for distinguishing between current and emerging variants. Additionally, we propose further development of facile protocols for the differentiation of existing and emerging variants. Graphical abstract

The COVID-19 pandemic caused by SARS-CoV-2 has been identified as a culprit in the development of a variety of disorders, including arthritis. Although the emergence of arthritis following SARS-CoV-2 infection may not be immediately discernible, its underlying pathogenesis is likely to involve a complex interplay of infections, oxidative stress, immune responses, abnormal production of inflammatory factors, cellular destruction, etc. Fortunately, recent advancements in nanozymes with enzyme-like activities have shown potent antiviral effects and the ability to inhibit oxidative stress and cytokines and provide immunotherapeutic effects while also safeguarding diverse cell populations. These adaptable nanozymes have already exhibited efficacy in treating common types of arthritis, and their distinctive synergistic therapeutic effects offer great potential in the fight against arthritis associated with COVID-19. In this comprehensive review, we explore the potential of nanozymes in alleviating arthritis following SARS-CoV-2 infection by neutralizing the underlying factors associated with the disease. We also provide a detailed analysis of the common therapeutic pathways employed by these nanozymes and offer insights into how they can be further optimized to effectively address COVID-19-associated arthritis.