Sensing patches for biomarker identification in skin-derived biofluids.

In conventional clinical disease diagnosis and screening based on biomarker detection, most analysis samples are collected from serum, blood. However, these invasive collection methods require specific instruments, professionals, and may lead to infection risks. Additionally, the diagnosis process suffers from untimely results. The identification of skin-related biomarkers plays an unprecedented role in early disease diagnosis. More importantly, these skin-mediated approaches for collecting biomarker-containing biofluid samples are noninvasive or minimally invasive, which is more preferable for point-of-care testing (POCT). Therefore, skin-based biomarker detection patches have been promoted, owing to their unique advantages, such as simple fabrication, desirable transdermal properties and no requirements for professional medical staff. Currently, the skin biomarkers extracted from sweat, interstitial fluid (ISF) and wound exudate, are achieved with wearable sweat patches, transdermal MN patches, and wound patches, respectively. In this review, we detail these three types of skin patches in biofluids collection and diseases-related biomarkers identification. Patch classification and the corresponding manufacturing as well as detection strategies are also summarized. The remaining challenges in clinical applications and current issues in accurate detection are discussed for further advancement of this technology (Scheme 1).

DCTPep, the data of cancer therapy peptides.

With the discovery of the therapeutic activity of peptides, they have emerged as a promising class of anti-cancer agents due to their specific targeting, low toxicity, and potential for high selectivity. In particular, as peptide-drug conjugates enter clinical, the coupling of targeted peptides with traditional chemotherapy drugs or cytotoxic agents will become a new direction in cancer treatment. To facilitate the drug development of cancer therapy peptides, we have constructed DCTPep, a novel, open, and comprehensive database for cancer therapy peptides. In addition to traditional anticancer peptides (ACPs), the peptide library also includes peptides related to cancer therapy. These data were collected manually from published research articles, patents, and other protein or peptide databases. Data on drug library include clinically investigated and/or approved peptide drugs related to cancer therapy, which mainly come from the portal websites of drug regulatory authorities and organisations in different countries and regions. DCTPep has a total of 6214 entries, we believe that DCTPep will contribute to the design and screening of future cancer therapy peptides.

Outcomes of robot-assisted versus video-assisted mediastinal mass resection during the initial learning curve.

To compare the learning curve of mediastinal mass resection between robot-assisted surgery and thoracoscopic surgery. Retrospective perioperative data were collected from 160 mediastinal mass resection cases. Data included 80 initial consecutive video-assisted thoracoscopic surgery (VATS) resection cases performed from February 2018 to February 2020 and 80 initial consecutive robotic-assisted thoracic surgery (RATS) resection cases performed from March 2020 to March 2023. All cases were operated on by a thoracic surgeon. The clinical characteristics and perioperative outcomes of the two groups were compared. The operation time in both the RATS group and VATS group was analyzed using the cumulative sum (CUSUM) method. Based on this method, the learning curves of both groups were divided into a learning period and mastery period. The VATS group and the RATS group crossed the inflection point in the 27th and 21st case, respectively. Subsequently, we found that the learning period was longer than the mastery period with statistically significant differences in terms of the operating time, and postoperative hospital stay in the VATS group and the RATS group. A certain amount of VATS experience can shorten the learning curve for RATS.

DRAVP: A Comprehensive Database of Antiviral Peptides and Proteins.

Viruses with rapid replication and easy mutation can become resistant to antiviral drug treatment. With novel viral infections emerging, such as the recent COVID-19 pandemic, novel antiviral therapies are urgently needed. Antiviral proteins, such as interferon, have been used for treating chronic hepatitis C infections for decades. Natural-origin antimicrobial peptides, such as defensins, have also been identified as possessing antiviral activities, including direct antiviral effects and the ability to induce indirect immune responses to viruses. To promote the development of antiviral drugs, we constructed a data repository of antiviral peptides and proteins (DRAVP). The database provides general information, antiviral activity, structure information, physicochemical information, and literature information for peptides and proteins. Because most of the proteins and peptides lack experimentally determined structures, AlphaFold was used to predict each antiviral peptide's structure. A free website for users (http://dravp.cpu-bioinfor.org/, accessed on 30 August 2022) was constructed to facilitate data retrieval and sequence analysis. Additionally, all the data can be accessed from the web interface. The DRAVP database aims to be a useful resource for developing antiviral drugs.

Mitigating donor interests in the case of COVID-19 vaccine: the implication of COVAX and DAC membership.

INTRODUCTION: The COVID-19 vaccine donation process allegedly prioritised national interests over humanitarian needs. We thus examined how donors allocated vaccines by recipient country needs versus donor national interests and how such decisions varied across donation channels (bilateral vs COVAX with country earmarking) or exposure to foreign aid norms (membership status in the Development Assistance Committee-DAC). METHODS: We used the two-part regression model to examine how the probability of becoming a recipient country and the volume of vaccines received were associated with recipient countries' needs (disease burden and GDP per capita), donor countries' interests (bilateral trade volume and voting distance in the United Nations General Assembly) and recipient countries' population size. The analysis further interacted the determinants with channel and DAC status. RESULTS: Donors preferentially selected countries with higher disease burden, lower GDP per capita, closer trade relations, more different voting preferences, and smaller populations. Compared with bilateral arrangements, COVAX encouraged more needs-based considerations (lower GDP per capita), less interest-based calculus (more distant economic relations and voting preferences) and larger population size. Compared with the DAC counterparts, the non-DAC donors focused more on politically and economically aligned countries but also on less economically developed countries. As for the volume of vaccines donated, countries received more vaccines if they had tighter trade relations with donors, more different voting patterns than donors, and larger populations. COVAX was associated with raising the volumes of vaccines to politically distant countries, and non-DAC donors donated more to countries with stronger trade relations and political alignment. CONCLUSION: Donors consider both recipient needs and national interests when allocating COVID-19 vaccines. COVAX and DAC partially mitigated donors' focus on domestic interests. Future global health aid can similarly draw on multilateral and normative arrangements.

[Analysis of Spatiotemporal Variation Characteristics and Driving Forces of NPP in Shanxi Province from 2000 to 2020 Based on Geodetector].

The net primary productivity (NPP) of vegetation, as an indispensable element in carbon cycle studies, characterizes plant growth status. This study applied MODIS NPP products from 2000 to 2020 and multi-source data on elevation, slope, precipitation, temperature, land use, and population density in Shanxi province. We used trend analysis, correlation analysis, and geographic probes to explore the spatial and temporal evolution characteristics and driving factors of NPP in Shanxi province and its national planned coal-mining areas. The results showed that: ① the overall NPP exhibited a fluctuating upward trend from 2000 to 2020, with an average rate of increase (in terms of C) of 6.7 g·(m2·a)-1. The total NPP varied significantly among different land types, with arable land>forest land>grassland>construction land>water area>unused land. ② The spatial heterogeneity of NPP changes was obvious, with lower NPP values in the western and northern regions and higher average NPP values in the eastern and southern regions; the NPP comparison of three major coal bases showed that Jindong coal base>Jinzhong coal base>Jinbei coal base. ③ The correlation between NPP and precipitation was high, with 62.2% of regions having a significant correlation (P<0.05), mainly in central and eastern Shanxi province. The relationship between NPP changes and temperature was weak, with only 1.10% of regions having a significant correlation (P<0.05). ④ The comparison of the q-means of each factor in different years based on geographic probes showed that precipitation (0.165)>land use (0.124)>population density (0.085)>slope (0.080)>elevation (0.064)>air temperature (0.024), further indicating that precipitation was the dominant driver of NPP changes over the years. 5 The influence of the two-factor interaction was significantly higher than that of the single factor, and the influence of anthropogenic factors was gradually increasing. From 2000 to 2020, the interaction factor precipitation∩population density (0.275) with the highest explanatory power replaced precipitation∩temperature (0.385) as the interaction factor precipitation with the highest explanatory power.

CT-guided percutaneous transthoracic needle biopsy (PTNB): A thoracic surgeon's learning curve and experience summary.

BACKGROUND: Few studies have investigated the learning process of percutaneous transthoracic needle biopsy (PTNB). Here, we aimed to evaluate the number of cases required to achieve proficiency by plotting the learning curve of PTNB. METHODS: Data were collected from 94 consecutive patients who underwent computed tomography-guided PTNB by a thoracic surgeon at the Affiliated Hospital of Xuzhou Medical University between May 2021 and February 2022. The data collected included patient information, relevant examination results, intraoperative parameters, postoperative complications, and diagnostic results. RESULTS: The inflection points of the cumulative sum curve were around cases 13 and 24, according to which three phases were identified, including phase I, phase II, and phase III. A significant downtrend was observed regarding operative time (phase I, 26.53 ± 9.13 min vs. phase III, 18.42 ± 4.29 min, p < 0.05), rate of false-negative (phase I, 15.4% vs. phase III, 5.7%; p < 0.05), rate of pneumothorax (phase I, 30.8% vs. phase III, 12.9%; p < 0.05), and rate of hemoptysis (phase I, 15.4% vs. phase III, 2.9%; p < 0.05). CONCLUSIONS: Thirteen cases were accumulated to lay the technical foundation, and 24 cases were required to achieve proficiency. In this study we summarize our own experience and provide specific guidance for young doctors with no experience in biopsy.

Corrigendum: A Chinese medicine formula (kunbixiao granule) for female rheumatoid arthritis: Study protocol for a double-blind, randomized, placebo-controlled trial.

[This corrects the article DOI: 10.3389/fphar.2022.945565.].

A chinese medicine formula (kunbixiao granule) for female rheumatoid arthritis: Study protocol for a double-blind, randomized, placebo-controlled trial.

Introduction: Rheumatoid arthritis (RA) is a chronic autoimmune disease affecting females more than males. Clinical symptoms, disease activity and comorbidities are more severe in females. Moreover, the choice of treatment for females is limited during childbearing age due to the side effects of current drugs. Therefore, developing novel and safer drugs for females is urgently needed. Kunbixiao granules (KBXG), a Chinese medicine formula, has been applied to treat female RA patients in our center as a complementary therapy. However, there is insufficient evidence for its effect. Therefore, we aim to conduct a randomized, controlled, double-blind clinical trial to confirm the efficacy and safety of KBXG for the treatment of female RA. Methods: This study is a single-center, double-blind, randomized, parallel group, placebo-controlled clinical trial. A total of 90 female RA patients with Disease Activity Score for 28 joints (DAS28) > 3.2 will be enrolled. They will be randomly assigned to receive either KBXG or placebo for 12 weeks. The change in DAS28 based on C-reactive protein (DAS28-CRP) and the Clinical Disease Activity Index (CDAI) are the primary outcomes. The secondary outcomes include a rate of achieving 20%, 50% and 70% improvement in the American College Rheumatology criteria (ACR20, ACR50, ACR70), TCM syndrome score, visual analogue scale (VAS), average hands grip strength, the consumption of concomitant medication, Hospital Anxiety and Depression Scale (HADS), lumbar spine bone mineral density (L-BMD) and 7-joint ultrasound score (US7). Any adverse events will also be recorded. Discussion: This trial will provide evidence of KBXG in reducing disease activity, and improving clinical symptoms and quality of life of female RA patients. The long-term effects of KBXG on female RA patients still needs a further follow-up.

Identification of cultivated land change trajectory and analysis of its process characteristics using time-series Landsat images: A study in the overlapping areas of crop and mineral production in Yanzhou City, China.

Most studies have extensively evaluated the extent and direction of land-use change in coal mining areas; however, they did not adequately describe the time dimension of cultivated land changes at the pixel scale. In this study, we reconstructed the time-series of the normalized difference vegetation index (NDVI) using best index slope extraction-wavelet transform (BISE-WT) filtering. The trajectory type of cultivated land change was identified based on the time-series curves of those original cultivated land pixels using the modified normalized difference water index (MNDWI), normalized differences building index (NDBI), and bare soil index (BSI). Additionally, the time nodes of cultivated land changes were detected based on the NDVI time-series data, MNDWI, NDBI, and BSI. The results showed that this clustering method had the highest overall accuracy (89.90%) and the highest kappa coefficient (86.36%) of those three methods. Moreover, the overall accuracy of different trajectory types, time node detection in cultivated land converted to other lands, and the restored cultivated land from other lands were 0.9005, 0.9438, and 0.9430, respectively, and the kappa coefficient were 0.8803, 0.9390, and 0.9371, respectively. The conversion from cultivated land to non-cultivated land mainly occurred during 1989-2005, while the reclamation of cultivated land mainly occurred in 2009, 2011, and 2013. Permanent cultivated land accounted for the highest proportion (56.26%) of the five trajectory types. The proportion of cultivated land converted to non-cultivated land to cultivated land was 18.51%, and the proportion of disturbed cultivated land that was not reclaimed was 25.23%. The proportion of cultivated land converted to the developed was the comparatively high (17.73%), and that of the restored cultivated land after conversion from cultivated land to waterbody was the lowest (0.53%). The results of this study provide a scientific basis for guiding land reclamation, ecological restoration, and evaluating sustainability in the overlapping areas of crop and mineral production.

Yolk-like non-stoichiometric nickel sulfide-based Janus hydrogel photothermal film for enhanced solar-driven water evaporation and multi-media purification.

Solar-driven interface water evaporation is a promising strategy for desalination and wastewater treatment. However, it remains a huge challenge to simultaneously achieve a high light-to-heat conversion efficiency (η) and multi-media evaporation applications. In this study, a highly efficient Janus hydrogel photothermal film was developed using yolk-like non-stoichiometric nickel sulfide (NiS2-x) microspheres and agar hydrogel. The NiS2-x immobilized in the agar hydrogel has full-spectrum absorption characteristics at 200-2500 nm, which can perform efficient light-to-heat conversion and regulate water transport channels. Additionally, the pure agar in the bottom can transport water effectively and avoid heat loss. By the pouring method, the Janus hydrogel film can be easily prepared into various shapes; hence, it can be adjusted depending on the environment in which it is used. The optimized Janus hydrogel film (Janus hydrogel-1) possessed good hydrophilicity and showed an excellent solar evaporation rate of 1.45 kg m-2h-1, and a high η of 97% under one-sun irradiation. Theoretical simulation results showed that the outstanding water evaporation performance of Janus hydrogel-1 was mainly due to its relatively free water transport channels. Janus hydrogel-1 can be used for water evaporation applications in various media, including seawater, heavy metal ion/organic wastewater, and domestic sewage. Our work highlights the great potential of Janus hydrogel-1 for realizing a highly effective solar energy-driven interface water evaporation and multi-media purification.

CoWO4-x -Based Photothermal Membranes for Solar-Driven Water Evaporation and Eutrophic Lake Water Purification.

Solar-driven water evaporation has been proven to be a promising and efficient method for the energy crisis and clean water shortage issues. Herein, we strategically design and fabricate a novel nonstoichiometric CoWO4-x -deposited foam nickel (NF) membrane (CoWO4-x @NF) that possesses all the desirable optical, thermal, and wetting properties for efficient water evaporation and purification. The broadband absorption of CoWO4-x nanoparticles (NPs) obtained by hydrogen reduction contributes to light-to-heat conversion, while NF with a three-dimensional porous structure can support CoWO4-x NPs and ensure the rapid flow of water molecules during the water evaporation process. We systematically explore and compare the outdoor water evaporation performance of the pure water group, NF group, and CoWO4-x @NF group, and the results show that CoWO4-x @NF performs well under natural sunlight irradiation (water evaporation: 2.91 kg m-2). Significantly, under solar irradiation, the remarkable reduction of Cyanophyta and Euglenophyta in lake water is achieved in the CoWO4-x @NF membrane-administered group, and these two algae are the main factors for eutrophication of the lake water. Our work highlights the great potentials of the CoWO4-x @NF membrane as a device for realizing outdoor solar energy-driven water evaporation and proposes a new strategy for purifying the eutrophication of the lake water.

Flexible Pt3Ni-S-Deposited Teflon Membrane with High Surface Mechanical Properties for Efficient Solar-Driven Strong Acidic/Alkaline Water Evaporation.

Solar-driven water evaporation provides a promising solution to the energy crisis and environmental issues. Capitalizing on the high photothermal conversion efficiency and excellent resistance to strong acids or strong alkalis of Pt3Ni-S nanowires, we strategically design and prepare a flexible Pt3Ni-S-deposited Teflon (PTFE) membrane for achieving efficient strong acid/alkaline water evaporation under simulated sunlight irradiation (1 sun). By comparing the surface morphology, mechanical properties, and water evaporation performance of the as-prepared three different membranes, we have screened out a high-performance photothermal membrane that has good hydrophobicity (water contact angle = 106°), strong mechanical properties, high light-to-heat conversion efficiency (η = 80%), and excellent durability (10 cycles in a range of pH = 1.2-12). In particular, we explore the mechanism of high surface mechanical properties of the as-prepared membrane using density functional theory. The results demonstrate that the related mechanism can be ascribed to two main reasons: (1) hydrogen bonds can be formed between the 2-pyrrolidone ring and PTFE-3 and (2) the O atom in PTFE-3 carries more negative charge (-0.19 |e|) than PTFE-1 (-0.16 |e|) and PTFE-2 (-0.15 |e|). Our work highlights the great potentials of a Pt3Ni-S-deposited PTFE membrane as a device for implementing solar energy-driven evaporation of industrial wastewater with strong acidity or alkalinity and provides a new strategy for improving the surface mechanical properties of a photothermal membrane.

Co2.67S4-Based Photothermal Membrane with High Mechanical Properties for Efficient Solar Water Evaporation and Photothermal Antibacterial Applications.

The lack of freshwater resources, or the freshwater crisis, is an important issue in the resource field. One potential green and sustainable method to solve this problem is to implement solar energy-driven water evaporation to collect freshwater. Capitalizing on the low cost, high production yield, and simplified fabrication process properties of nonstoichiometric Co2.67S4 nanoparticles, we strategically designed and synthesized a Co2.67S4-deposited Teflon (PTFE) membrane for realizing efficient solar water evaporation and photothermal antibacterial properties under light irradiation. Compared with previously reported cellulose acetate and poly(vinylidene fluoride) membranes, the PTFE membrane displayed significantly enhanced mechanical properties. Additionally, a Co2.67S4-deposited PTFE membrane with a hydrophobic treatment (termed as the Final-PTFE membrane) exhibited excellent durability. The light-to-heat conversion efficiency (η) of water evaporation reached a value of 82% for our as-prepared Final-PTFE membrane under two sun irradiation conditions. Moreover, the antibacterial mechanism observed by scanning electron microscopy was attributed to the thermal effect, which damaged the cell wall of bacteria. Our work highlights the great potentials of the Final-PTFE membrane as a versatile system for implementing solar energy-driven photothermal water evaporation and water purification.

[Comparison of the influences of gold alloy metal crown and ni-cr alloy metal crown on gingival health].

OBJECTIVE: To compare the influences of gold alloy metal crown and Ni-Cr alloy metal crown on gingival health. METHODS: Totally 20 patients requiring one metal crown restoration were divided into the gold alloy metal crown group (n=9) and Ni-Cr alloy metal crown group (n=11). The contra-lateral homonymy natural healthy teeth served as controls. Before the tooth preparation and 6 months after crown placement, the weight of gingival crevicular fluid (GCF) of each tooth (included the test teeth and the control teeth) was measured, and the probing depth and the sulcus bleeding index of each tooth were also recorded. RESULTS: In the gold alloy metal crown group, the weight of GCF detected before the tooth preparation was significantly larger than that detected 6 months after restoration (P<0.05). In the Ni-Cr alloy metal crown group, the sulcus bleeding index recorded 6 months after restoration was significantly larger than that recorded before the tooth preparation (P<0.05). The other experimental indicators were not significantly different before and after restoration. CONCLUSION: The gold alloy metal crowns will not cause obvious harm to the periodontal tissues of the abutments shortly after restoration, while the Ni-Cr alloy metal crowns may increase the risk of sulcus bleeding.