Prevalence of human papillomavirus DNA and p16INK4a positivity in vulvar cancer and vulvar intraepithelial neoplasia: a systematic review and meta-analysis.

BACKGROUND: Human papillomavirus (HPV) DNA and p16INK4a positivity have crucial roles in the pathogenesis of vulvar cancer and vulvar intraepithelial neoplasia. We aimed to examine the pooled prevalence of HPV DNA and p16INK4a positivity in vulvar cancer and vulvar intraepithelial neoplasia worldwide. METHODS: In this systematic review and meta-analysis, we searched PubMed, Embase, and the Cochrane Library databases for studies published between Jan 1, 1986, and May 6, 2022, that reported the prevalence of HPV DNA, or p16INK4a positivity, or both, in histologically verified vulvar cancer or vulvar intraepithelial neoplasia. Studies on a minimum of five cases were included. Study-level data were extracted from the published studies. Random effect models were used to examine the pooled prevalence of HPV DNA and p16INK4a positivity in both vulvar cancer and vulvar intraepithelial neoplasia, which were further investigated using stratified analyses by histological subtype, geographical region, HPV DNA or p16INK4a detection method, tissue sample type, HPV genotype, publication year, and age at diagnosis. Additionally, meta-regression was applied to explore sources of heterogeneity. FINDINGS: We retrieved 6393 search results, of which 6233 were excluded for being duplicates or after application of our inclusion and exclusion criteria. We also identified two studies from manual searches of references lists. 162 studies were eligible for inclusion in the systematic review and meta-analysis. The prevalence of HPV in vulvar cancer (91 studies; n=8200) was 39·1% (95% CI 35·3-42·9) and in vulvar intraepithelial neoplasia (60 studies; n=3140) was 76·1% (70·7-81·1). The most predominant HPV genotype in vulvar cancer was HPV16 (78·1% [95% CI 73·5-82·3]), followed by HPV33 (7·5% [4·9-10·7]). Similarly, HPV16 (80·8% [95% CI 75·9-85·2]) and HPV33 (6·3% [3·9-9·2]) were also the most two predominant HPV genotypes in vulvar intraepithelial neoplasia. The distribution of type-specific HPV genotypes in vulvar cancer among geographical regions was different, with HPV16 varying between regions, showing a high prevalence in Oceania (89·0% [95% CI 67·6-99·5]) and a low prevalence in South America (54·3% [30·2-77·4]). The prevalence of p16INK4a positivity in patients with vulvar cancer was 34·1% (95% CI 30·9-37·4; 52 studies; n=6352), and it was 65·7% (52·5-77·7; 23 studies; n=896) in patients with vulvar intraepithelial neoplasia. Furthermore, among patients with HPV-positive vulvar cancer, p16INK4a positivity prevalence was 73·3% (95% CI 64·7-81·2), compared with 13·8% (10·0-18·1) in HPV-negative vulvar cancer. The prevalence of double positivity for HPV and p16INK4a was 19·6% (95% CI 16·3-23·0) in vulvar cancer and 44·2% (26·3-62·8) in vulvar intraepithelial neoplasia. Most analyses had large heterogeneity (I2>75%). INTERPRETATION: The high prevalence of HPV16 and HPV33 in vulvar cancer and vulvar intraepithelial neoplasia emphasised the importance of nine-valent HPV vaccination in preventing vulvar neoplasm. Additionally, this study highlighted the potential clinical significance of double positivity for HPV DNA and p16INK4a in vulvar neoplasm. FUNDING: Taishan Scholar Youth Project of Shandong Province, China.

CuO nanosheets incorporated scrap steel slag coupled with persulfate catalysts for high-efficient degradation of sulfonamide from water.

A highly efficient and magnetically recoverable persulfate (PS) catalyst was prepared for the removal of sulfonamide (SMD) from wastewater, which is difficult to be degraded by the conventional biological treatment. In this study, the scrap steel slag (SSS) was used as supporting carrier and the CuO nanosheet was incorporated on the surface of SSS. The optimal conditions were determined as follows: the dosage of CuO/SSS was 1 g L-1, the PS concentration was 4 mM and the optimal initial pH was 6.85. Under the optimal conditions, the maximum SMD removal efficiency of 80.29% was achieved within 30 min by using CuO/SSS + PS. In addition, the CuO/SSS + PS system had a wide pH range (5-9) and more than 60% removal efficiency of SMD could be obtained with the pH between 3 and 11. The mechanism based on the phase transformation of Cu(I/II), Cu(II/III) and Fe(II/III) was elucidated by using different analytical techniques, such as SEM, XRD, XPS, BET, FTIR, VSM characterization and free radical analysis. This study provided a new pathway for the SSS resource utilization and the effective degradation of SMD from the refractory wastewater by using CuO/SSS catalyst coupled with PS system.

Deep Neural Network-Based Semantic Segmentation of Microvascular Decompression Images.

Image semantic segmentation has been applied more and more widely in the fields of satellite remote sensing, medical treatment, intelligent transportation, and virtual reality. However, in the medical field, the study of cerebral vessel and cranial nerve segmentation based on true-color medical images is in urgent need and has good research and development prospects. We have extended the current state-of-the-art semantic-segmentation network DeepLabv3+ and used it as the basic framework. First, the feature distillation block (FDB) was introduced into the encoder structure to refine the extracted features. In addition, the atrous spatial pyramid pooling (ASPP) module was added to the decoder structure to enhance the retention of feature and boundary information. The proposed model was trained by fine tuning and optimizing the relevant parameters. Experimental results show that the encoder structure has better performance in feature refinement processing, improving target boundary segmentation precision, and retaining more feature information. Our method has a segmentation accuracy of 75.73%, which is 3% better than DeepLabv3+.

Optimization and interpretation of O3 and O3/H2O2 oxidation processes to pretreat hydrocortisone pharmaceutical wastewater.

Chemical synthetic pharmaceutical wastewater must be pretreated before traditional biological treatment to improve the biodegradability of pollutants due to their high concentration and complex composition. This study investigated O3 and O3/H2O2 systems to pretreat hydrocortisone wastewater. The optimum treatment efficiency of the O3 system was achieved under pH value of 5.76, dosage of O3 of 217.5 mg/L, and reaction time of 90 min. The removal efficiency of chemical oxygen demand (COD) and total organic carbon (TOC) was 94% and 92%, respectively. The ratio of biochemical oxygen demand (BOD) and COD (B/C) increased from 0.066 to 0.310. Moreover, the optimum H2O2/O3 molar ratio was 0.3 with the optimum pH of 3, and reaction time was reduced to 15 min to reach COD removal efficiency of 67.3% in the O3/H2O2 oxidation system. Interestingly, isobutanol was assumed to be a good hydroxyl radical trapping agent due to the great decrease of Fenton reagent reaction rate constant. By comparing two different kinetic models, oxidation mechanism could be interpreted by the pseudo first-order kinetic model with the high correlation coefficient R2 above 0.9787. It can be concluded that ozonation system was controlled by both direct oxidation and free radical oxidation, and particularly the later one played a dominant role.

Distribution and spectral characteristics of chromophoric dissolved organic matter in a coastal bay in northern China.

The absorption spectra of chromophoric dissolved organic matter (CDOM), along with general physical, chemical and biological variables, were determined in the Bohai Bay, China, in the springs of 2011 and 2012. The absorption coefficient of CDOM at 350 nm (a350) in surface water ranged from 1.00 to 1.83 m⁻¹ (mean: 1.35 m⁻¹) in May 2011 and from 0.78 to 1.92 m⁻¹ (mean: 1.19 m⁻¹) in April 2012. Little surface-bottom difference was observed due to strong vertical mixing. The a350 was weakly anti-correlated to salinity but positively correlated to chlorophyll a (Chl-a) concentration. A shoulder over 260-290 nm, suggestive of biogenic molecules, superimposed the overall pattern of exponentially decreasing CDOM absorption with wavelength. The wavelength distribution of the absorption spectral slope manifested a pronounced peak at ca. 300 nm characteristic of algal-derived CDOM. All a250/a365 ratios exceeded 6, corresponding to CDOM molecular weights (Mw) of less than 1 kDa. Spectroscopically, CDOM in the Bohai Bay differed substantively from that in the Haihe River, the bay's dominant source of land runoff; photobleaching of the riverine CDOM enlarged the difference. Results point to marine biological production being the principal source of CDOM in the Bohai Bay during the sampling seasons. Relatively low runoff, fast dilution, and selective photodegradation are postulated to be among the overarching elements responsible for the lack of terrigenous CDOM signature in the bay water.

Characteristic analysis of s-Fe/Cu two-component micro-electrolysis materials and degradation of dye wastewater.

Micro-electrolysis is a pretreatment technology for difficult-to-biodegrade wastewater. In this study, a chemical displacement method was used to load copper on the surface of sponge iron (s-Fe), and then it was mixed with activated carbon and other components to obtain a multi-element micro-electrolytic filler (OMEF). Through BET, SEM, XRD, XPS, and FT-IR characterization and analysis, OMEF was proved to have a specific surface area of 88.374 m2/g, C-C, C-O, C = O, O-C = O, and other functional groups and Fe3C, MnO2 and other active materials. The removal mechanism of organic pollutants in wastewater by OMEF could be due to the galvanic reaction, direct reduction of Fe, oxidation of Fe, catalytic oxidation of Cu and Mn, and co-precipitation of adsorption. The coupling of the micro-electrolysis and biological methods proved that OMEF had excellent application efficiency. The results indicated that the COD removal rates of OMEF and commercial fillers reached 88.39% and 48.02%, respectively, and the B/C reached 0.74 and 0.3. OMEF showed a better performance. The reusability of the OMEF filler was measured to ensure that the B/C was maintained at around 0.5 during 5 cycles. Kinetic analysis showed that the degradation data of methyl orange (MO) and the removal data of COD obeyed pseudo-second-order kinetics. Moreover, it can further broaden the pH range of treated wastewater and increase the oxidation rate. This new strategy has brought potential enlightenment for the development of high-efficiency wastewater pretreatment using new micro-electrolysis materials. The excellent performance of OMEF micro-electrolytic filler in pretreatment indicated its potential for industrial application.

[Black microplastics in the environment: Origin, transport and risk of tire wear particles]. / 环境中的黑色微塑料­­è½®èƒŽç£¨æŸé¢—粒的来源、迁移扩散及环境风险.

With the continuous growth of vehicle per capita in recent years, tire wear particles (TWP) produced by tire wear on roads have been widely found in various environmental media, whose environmental behavior and effects have attracted extensive attention. After being produced, these microsized and nanosized TWP will drift into the atmosphere or enter the surrounding soil, rivers, and even into the ocean with rain and runoff. The existence of TWP significantly affects the composition of organic materials in the environment. Meanwhile, the release of heavy metals and organic additives from TWP will be harmful to organisms and human health. We summarized the sources and characteristics of TWP, their migration and diffusion in water, atmosphere, and soil environment. By analyzing the environmental impacts and ecological risks of TWP pollution, we proposed the key questions urgently to be solved and prevention measures.

Removal of ammonia nitrogen from water by mesoporous carbon electrode-based membrane capacitance deionization.

The removal of ammonia nitrogen from wastewater is always a focus in current water treatment. In this study, a combination of mesoporous carbon electrode and selective ion exchange membrane was used to assemble a membrane capacitor deionization system (MCDI). The optimal process parameters were determined as follows: the plate spacing was 1 mm, the voltage was 1.2 V, and the flow rate was 23.8 mL/min. Under the optimal conditions, the removal efficiency of ammonia nitrogen can reach more than 80%. The quasi-first order kinetics and Langmuir adsorption isotherm model can well describe the adsorption process of MCDI. The nature of physical adsorption between ammonia nitrogen cations and mesoporous carbon electrode was demonstrated by the calculation of activation energy and thermodynamic parameters. Moreover, 1500 mg/L NH4Cl, NaNO2, and NaNO3 solutions were tested respectively. The results showed that the removal efficiencies of NH4+, NO2-, and NO3- were 82.33%, 90.96%, and 97.73% respectively, indicating that MCDI is feasible to removal different forms of inorganic nitrogen from water.

Electrosorptive removal of salt ions from water by membrane capacitive deionization (MCDI): characterization, adsorption equilibrium, and kinetics.

Capacitive deionization (CDI) was demonstrated to be an affordable technology for reduction of salt concentrations in brackish water. In this study, a novel membrane capacitive deionization (MCDI) cell was assembled by incorporating ion exchange membranes into the CDI cell which was built with high-adsorption electrodes based on ordered mesoporous carbon. The synthesized mesoporous carbon electrode was fully characterized. The simultaneous analysis of the electrosorption capacity and adsorption/desorption kinetics was evaluated by using real power plant desulfurization wastewater. The ordered mesoporous carbon was favorable for salt ion electrosorption, and the best performance was obtained by using MCDI which improved the removal efficiency of total dissolved solids (TDSs) from 65 to 82%. The total hardness and alkalinity of the effluent after treatment could meet the requirement of water quality standard for industries. Langmuir isotherm and pseudo-first-order kinetic models were found to be in best agreement with experimental results of salt ion electrosorption. The selective transport of ions between the electrode surface and bulk solution due to the ion exchange membranes resulted in a better desalination performance of MCDI. The results presented in this paper could be used for developing new electrode materials of MCDI for desalination from water.

Arsenic removal from water and river water by the combined adsorption - UF membrane process.

In this study, a pilot-scale adsorption-UF process equipped with an aerated system is established for arsenic removal from As-spiked Songhua river water. A newly synthesized amino-functionalized coffee cellulose adsorbent (PEI-coffee) which is derived from spent coffee powder is fully characterized and used for arsenic removal from water. The batch experiments revealed that the adsorption process could be well described by Langmuir model with a maximum adsorption capacity of 13.2 and 46.1 mg/g for As(III) and As(V), respectively. The negative value of △H and △G indicated the exothermic and spontaneous nature of As adsorption on PEI-coffee. The effects of operating parameters such as pH, initial concentration and adsorbent dosage, were optimized by response surface methodology (RSM) based on a central composite design (CCD). The combined adsorption - UF process was employed for arsenic removal from As-spiked Songhua river water. It was demonstrated that aeration not only increased the removal efficiency by oxidizing As(III) to As(V), but mitigated the membrane fouling process. Besides of the adsorption process, UF membrane could also reject arsenic through the electrostatic repulsion between arsenic species and membrane surface. After UF filtration, the dissolved As, suspended solids (SS), and TOC can be effectively eliminated. The saturated adsorbent was regenerated by using an eluting agent of 10 wt% NaCl and 10 wt% NaOH, the regenerated adsorbent still sustained a very high adsorption capacity after 6 cycles of adsorption-regeneration process.

A critical review on arsenic removal from water using iron-based adsorbents.

Intensive research efforts have been pursued to remove arsenic (As) contamination from water with an intention to provide potable water to millions of people living in different countries. Recent studies have revealed that iron-based adsorbents, which are non-toxic, low cost, and easily accessible in large quantities, offer promising results for arsenic removal from water. This review is focused on the removal of arsenic from water using iron-based materials such as iron-based nanoparticles, iron-based layered double hydroxides (LDHs), zero-valent iron (ZVI), iron-doped activated carbon, iron-doped polymer/biomass materials, iron-doped inorganic minerals, and iron-containing combined metal oxides. This review also discusses readily available low-cost adsorbents such as natural cellulose materials, bio-wastes, and soils enriched with iron. Details on mathematical models dealing with adsorption, including thermodynamics, kinetics, and mass transfer process, are also discussed. For elucidating the adsorption mechanisms of specific adsorption of arsenic on the iron-based adsorbent, X-ray photoelectron spectroscopy (XPS) and X-ray absorption spectroscopy (XAS) are frequently used. Overall, iron-based adsorbents offer significant potential towards developing adsorbents for arsenic removal from water.

Photobleaching of chromophoric dissolved organic matter (CDOM) in the Yangtze River estuary: kinetics and effects of temperature, pH, and salinity.

The kinetics and temperature-, pH- and salinity-dependences of photobleaching of chromophoric dissolved organic matter (CDOM) in the Yangtze River estuary (YRE) were evaluated using laboratory solar-simulated irradiation and compared to those of Suwannee River humic substances (SRHSs). Nearly all CDOM in water at the head of the estuary (headwater herein) was photobleachable in both summer and winter, while significant fractions of CDOM (13-29%) were resistant to photobleaching in saltier waters. The photobleaching rate constant in the headwater was 25% higher in summer than that in winter. The absorbed photon-based photobleaching efficiency (PE) increased with temperature following the linear Arrhenius equation. For a 20 °C increase in temperature, PE increased by ∼45% in the headwater and by 70-81% in the saltier waters. PE for YRE samples exhibited minima at pH from 6 to 7 and increased with both lower and higher pH values, contrasting the consistent increase in PE with pH shown by SRHSs. No consistent effect of salinity on PE was observed for both SRHSs and YRE samples. Photobleaching increased the spectral slope coefficient between 275 nm and 295 nm in summer, consistent with the behavior of SRHSs, but decreased it in winter, implying a difference in the molecular composition of chromophores between the two seasons. Temperature, salinity, and pH modified the photoalteration of the spectral shape but their effects varied spatially and seasonally. This study demonstrates that CDOM quality, temperature, and pH should be incorporated into models involving quantification of photobleaching.