Unveiling intricate transformation pathways of emerging contaminants during wastewater treatment processes through simplified network analysis

As the key stage for purifying wastewater, elimination of emerging contaminants (ECs) is found to be fairly low in wastewater treatment plants (WWTPs). However, less knowledge is obtained regarding the transformation pathways between various chemical structures of ECs under different treatment processes. This study unveiled the transformation pathways of ECs with different structures in 15 WWTPs distributed across China by simplified network analysis (SNA) we proposed. After treatment, the molecular weight of the whole component of wastewater decreased and the hydrophilicity increased. There are significant differences in the structure of eliminated, consistent and formed pollutants. Amino acids, peptides, and analogues (AAPAs) were detected most frequently and most removable. Benzenoids were refractory. Triazoles were often produced. The high-frequency reactions in different WWTPs were similar, (de)methylation and dehydration occurred most frequently. Different biological treatment processes performed similarly, while some advanced treatment processes differed, such as a significant increase of -13.976 (2HO reaction) paired mass distances (PMDs) in the chlorine alone process. Further, the common structural transformation was uncovered. 4 anti-hypertensive drugs, including irbesartan, valsartan, olmesartan, and losartan, were identified, along with 22 transformation products (TPs) of them. OH2 and H2O PMDs occurred most frequently and in 80.81 % of the parent-transformation product pairs, the intensity of the product was higher than parent in effluents, whose risk should be considered in future assessment activity. Together our results provide a macrography perspective on the transformation processes of ECs in WWTPs. In the future, selectively adopting wastewater treatment technology according to structures is conductive for eliminating recalcitrant ECs in WWTPs.

A comprehensive insight into the transformation pathways and products of fluoxetine and venlafaxine in wastewater based on molecular networking nontarget screening

Fluoxetine (FLX) and venlafaxine (VEN) are widely used antidepressant pharmaceuticals and were frequently detected in wastewater. Despite incomplete mineralization during biological wastewater treatment processes has been revealed, little is known about their transformation products (TPs) formed in the biological systems. To fill this gap, batch reactors and molecular networking nontarget screening were employed to identify the TPs and explore the transformation pathways of FLX and VEN in wastewater. On the basis, the concentrations of the TPs in wastewater treatment plants (WWTPs) were determined and their toxicity was predicted. The removal rate constants per unit of biomass of FLX and VEN were up to 0.3192 and 0.1644 L/(gMLSS*d) in batch experiments, respectively. Subsequently, 11 TPs of VEN and 11 TPs of FLX were tentatively identified, among which 9 TPs of FLX and 5 TPs of VEN were newly reported in this study. The proposed transformation pathways provided new insights into the transformation reactions including dehydrogenation, N-formylation and hydroxylation for FLX, and formylation, epoxidation and methylation for VEN. Particularly, N-succinylation and demethylation were the dominant transformation pathways for FLX and VEN during transformation processes. The results of sampling campaigns revealed that the accumulated concentration of TPs were higher than the concentrations of VEN in effluent of WWTPs. In silico prediction results suggested that certain TPs have higher toxicity, persistence and biodegradability than their corresponding parent compounds of FLX and VEN. In addition, VEN-TP264(a) showed higher ecological risks than VEN. This study revealed the transformation processes and fate of FLX and VEN in wastewater, indicating that greater concerns should be exerted on the toxicity detection and control of the TPs of FLX and VEN in the treated wastewater.

Deciphering Microbe-Mediated Dissolved Organic Matter Reactome in Wastewater Treatment Plants Using Directed Paired Mass Distance

Understanding the reaction mechanism of dissolved organic matter (DOM) during wastewater biotreatment is crucial for optimal DOM control. Here, we develop a directed paired mass distance (dPMD) method that constructs a molecular network displaying the reaction pathways of DOM. It couples direction inference and PMD analysis to extract the substrate-product relationships and delta masses of potentially paired reactants directly from sequential mass spectrometry data without formula assignment. Using this method, we analyze the influent and effluent samples from the bioprocesses of 12 wastewater treatment plants (WWTPs) and build a dPMD network to characterize the core reactome of DOM. The network shows that the first step of the transformation triggers reaction cascades that diversify the DOM, but the highly overlapped subsequent reaction pathways result in similar effluent DOM compositions across WWTPs despite varied influents. Mass changes exhibit consistent gain/loss preferences (e.g., +3.995 and -16.031) but different occurrences across WWTPs. Combined with genome-centric metatranscriptomics, we reveal the associations among dPMDs, enzymes, and microbes. Most enzymes are involved in oxygenation, (de)hydrogenation, demethylation, and hydration-related reactions but with different target substrates and expressed by various taxa, as exemplified by Proteobacteria, Actinobacteria, and Nitrospirae. Therefore, a functionally diverse community is pivotal for advanced DOM degradation.

A Graph Neural Network Model with a Transparent Decision-Making Process Defines the Applicability Domain for Environmental Estrogen Screening

The application of deep learning (DL) models for screening environmental estrogens (EEs) for the sound management of chemicals has garnered significant attention. However, the currently available DL model for screening EEs lacks both a transparent decision-making process and effective applicability domain (AD) characterization, making the reliability of its prediction results uncertain and limiting its practical applications. To address this issue, a graph neural network (GNN) model was developed to screen EEs, achieving accuracy rates of 88.9% and 92.5% on the internal and external test sets, respectively. The decision-making process of the GNN model was explored through the network-like similarity graphs (NSGs) based on the model features (FT). We discovered that the accuracy of the predictions is dependent on the feature distribution of compounds in NSGs. An AD characterization method called ADFT was proposed, which excludes predictions falling outside of the model's prediction range, leading to a 15% improvement in the F1 score of the GNN model. The GNN model with the AD method may serve as an efficient tool for screening EEs, identifying 800 potential EEs in the Inventory of Existing Chemical Substances of China. Additionally, this study offers new insights into comprehending the decision-making process of DL models.

PBT assessment of chemicals detected in effluent of wastewater treatment plants by suspected screening analysis

Wastewater treatment plants (WWTPs) are the major sources of contaminants discharged into downstream water bodies. Profiling the contaminants in effluent of WWTPs is crucial to assess the potential eco-risks toward downstream organisms. To this end, this study investigated the contaminants in effluent of 10 WWTPs locating in 10 cities of Yangtze River delta region of China by suspected screening analysis. Further, the persistence, bioaccumulation, toxicity (PBT) and the characteristics sub-structures of PBT-like chemicals were analyzed. Totally, 704 chemicals including 155 chemical products, 31 food additives, 52 natural substances, 112 personal care products, 123 pesticides, 192 pharmaceuticals, 17 hormones and 22 others were found. The results of PBT analysis suggested that 42 chemicals (5.97% among the detected chemicals in WWTPs) were with PBT property. Among them, 31 contaminants were not reported previously. 9 characteristics sub-structures (N-methyleneisobutylamine, 1-naphthaldehyde, 2,3,3-trimethylcyclohexene, cyclohexanol, N-sec-butyl-n-propylamine, (5E)-2,6-dimethylocta-1,5-diene, 2-ethylphenol, pentadecane and 6-methoxyhexane) were found for PBT-like chemicals. The sub-structures of highly linear alkyl partially explained the significantly higher PBT score for personal care products. Present study provides fundamental information on PBT properties of contaminants in effluent of WWTPs, which will benefit to prioritize contaminants with high concerns in effluent of WWTPs.

Outcomes and Failure Patterns after Chemoradiotherapy for Locally Advanced Rectal Cancer with Positive Lateral Pelvic Lymph Nodes: A Propensity Score-Matched Analysis

PURPOSE/OBJECTIVE(S)

Locally advanced rectal cancer (LARC) combined with positive lateral pelvic lymph nodes (LPLN) tends to present worse prognosis. However, for those patients it remains unclear whether other combination high-risk factors affect the prognosis. This study aimed to use propensity score matching (PSM) to examine long-term outcomes and failure patterns in patients with positive vs. negative LPLN.

MATERIALS/METHODS

Patients with LARC were retrospectively divided into LPLN-positive and LPLN-negative groups. LPLN-positivity was defined as lymph node short diameter greater than or equal to 7 mm with specific morphological features. Clinical characteristics were compared between the groups using the chi-square test. PSM was applied to balance these differences. Progression-free survival (PFS) and overall survival (OS), and local-regional recurrence (LRR) and distant metastasis (DM) rates were compared between the groups using the Kaplan-Meier method and log-rank tests.

RESULTS

Prior to PSM, a total of 651 LARC patients were included. The LPLN-positive group had higher rates of lower location (53.1% vs. 43.0%, P = 0.025), mesorectal fascia (MRF)-positive (53.9% vs. 35.4%, P<0.001) and extramural venous invasion (EMVI)-positive (51.2% vs. 27.2%, P<0.001) disease than the LPLN-negative group. After PSM, there were 114 patients for each group along with the balanced clinical factors, and both groups had comparable surgery, pathologic complete response (pCR), and ypN stage rates. The median follow-up time was 45.9 months, 3-year OS (88.3% vs. 92.1%, P = 0.276) and LRR (5.7% vs. 2.8%, P = 0.172) rates were comparable between LPLN-positive and LPLN-negative groups. Meanwhile, despite no statistical difference, 3-year PFS (78.8% vs. 85.9%, P = 0.065) and DM (20.4% vs. 13.3%, P = 0.061) rates slightly differed between the groups. Among 10 patients with LRR, seven (70.0%) had lateral pelvic recurrence, among them, five patients were LPLN-positive, and four (80.0%) of these patients did not receive simultaneous integrated boost intensity-modulated radiotherapy (SIB- IMRT).45 patients were diagnosed with DM, 11 (40.7%) LPLN-positive and 3 (17.6%) LPLN-negative patients were diagnosed with oligometastases (P = 0.109).

CONCLUSION

Our study shows there is a tendency of worse PFS and DM in LPLN-positive than LPLN-negative patients, for LPLN-positive patients, oligometastases account for a large proportion of all distant metastases.

4D-MRI Guided Stereotactic Body Radiation Therapy for Unresectable Colorectal Liver Metastases

PURPOSE/OBJECTIVE(S)

This study evaluated the feasibilities and outcomes following four-dimensional magnetic resonance imaging (4D-MRI) guided stereotactic body radiation therapy (SBRT) for unresectable colorectal liver metastases (CRLM).

MATERIALS/METHODS

From March 2018 to January 2022, we identified 76 unresectable CRLM patients with 123 lesions who received 4D-MRI guided SBRT in our institution. 4D-MRI simulation with or without abdominal compression was conducted for all patients. The prescription dose was 50-65 Gy in 5-12 fractions. The image quality of computed tomography (CT) and MRI were compared using the Clarity Score. Clinical outcomes and toxicity profiles were evaluated.

RESULTS

The 4D-MRI significantly improved the image quality compared with CT images (mean Clarity Score: 1.67 vs 2.88, P < 0.001). The abdominal compression significantly reduced motions in cranial-caudal direction (P = 0.03) with 2 phase T2 weighted images assessing tumor motion. The median follow-up time was 12.5 months. For 98 lesions assessed for best response, the complete response, partial response and stable disease rate were 57.1 %, 30.6 % and 12.2 %, respectively. The local control (LC) rate at 2 year was 97.3%. 46.1% of patients experienced grade 1-2 toxicities and only 2.6% patients experienced grade 3 hematologic toxicities.

CONCLUSION

The 4D-MRI technique allowed precise target delineation and motion tracking in unresectable CRLM patients. High LC rate and mild toxicities were achieved. This study provided evidence for using 4D-MRI guided SBRT as an alternative treatment in unresectable CRLM.

[Survey of prevalence of hepatitis C in people aged 1-69 years in Henan Province, 2020]

Objective: To understand the infection status and epidemiological characteristics of hepatitis C in people aged 1-69 years in Henan Province in 2020. Methods: The estimated sample size was 5 827. From August to December 2020, multistage sampling was used to select 8 counties (districts) in Henan, and two survey sites were selected in each county (district), and a questionnaire survey was conducted in local people aged 1-69 years, blood samples were collected from them for anti-HCV, HCV RNA and genotype detections. Results: A total of 5 165 people aged 1-69 years completed the questionnaire survey. Men accounted for 44.76% (2 312/5 165), women accounted for 55.24% (2 853/5 165). In the people aged 1-69 years, the overall prevalence rates of anti-HCV and HCV RNA were 0.69% (95%CI: 0.68%-0.70%) and 0.20% (95%CI: 0.19%-0.21%) respectively. The prevalence rates of anti-HCV and HCV RNA were 0.48% (95%CI: 0.46%-0.50%), 0.09% (95%CI: 0.08%-0.10%) in men and 0.86% (95%CI: 0.85%-0.87%), 0.30% (95%CI: 0.28%-0.32%) in women. The prevalence rates of anti-HCV and HCV RNA increased with age. The prevalence rates of anti-HCV and HCV RNA were 0.87% (95%CI: 0.86%-0.88%), 0.28% (95%CI: 0.26%-0.30%) in urban residents and 0.53% (95%CI: 0.51%-0.55%), 0.14% (95%CI: 0.13%-0.15%) in rural residents. The genotyping results of 10 HCV RNA positive samples ware genotype 1b (4/10), genotype 2 (3/10), genotype 1b/3 (1/10), genotype 1b/3/6 (1/10) and genotype 2/6 (1/10). Conclusions: The prevalence of hepatitis C was low in Henan in 2020. It is necessary to strengthen hepatitis C surveillance in people aged 40 years and above. The major HCV genotypes were 1b and 2, and mixed genotype infection existed.

Enhanced degradation of pharmaceuticals in wastewater by coupled radical and non-radical pathways: Further unravelling kinetics and mechanism

Advanced oxidation processes based on radicals and/or non-radical catalysis are emerging as promising technologies for eliminating pharmaceuticals (PhACs) from wastewater. However, the respective contributions of different removal pathways (radicals or non-radical) for PhAC degradation still lacks quantitative investigation. Zero-valent iron and carbon nanotubes are frequently used to generate both radicals and non-radical species via the activation of persulfate (Fe⁰/SWCNT/PDS). Herein, the removal kinetics of 1 μM PhACs are depicted, and the corresponding synergistic mechanism of the Fe⁰/SWCNT/PDS process is discussed. Coupled removal pathways showed the higher degradation of PhACs than the individual pathways. Radicals quenching studies combined with electron spin resonance characterisation suggested that the radical-based removal pathway tends to attack electron-deficient organics, whereas its counterpart is more likely to work on electron-rich organics. From the perspectives of the contribution rate, the redox cycles of conjugated Fe species play a more important role in the generation of radicals than free Fe species, and the faster electron transfer in the conductive bridge offered by SWCNT is responsible for the effective corrosion of Fe⁰ and the decomposition of PDS. Six real wastewater samples were used to prove the generality of the above removal contribution, regardless of the wastewater samples, and the results suggested that identical attack patterns were obtained in all real wastewater samples, although coexistence matrix slightly suppressed PhAC removal. This work provides a deeper insight into the high-performance working mechanism on synergistic interactions and contaminant removal in a combined catalysis system.

[A region-level contrastive learning-based deep model for glomerular ultrastructure segmentation on electron microscope images]

OBJECTIVE

We propose a novel region- level self-supervised contrastive learning method USRegCon (ultrastructural region contrast) based on the semantic similarity of ultrastructures to improve the performance of the model for glomerular ultrastructure segmentation on electron microscope images.

METHODS

USRegCon used a large amount of unlabeled data for pre- training of the model in 3 steps: (1) The model encoded and decoded the ultrastructural information in the image and adaptively divided the image into multiple regions based on the semantic similarity of the ultrastructures; (2) Based on the divided regions, the first-order grayscale region representations and deep semantic region representations of each region were extracted by region pooling operation; (3) For the first-order grayscale region representations, a grayscale loss function was proposed to minimize the grayscale difference within regions and maximize the difference between regions. For deep semantic region representations, a semantic loss function was introduced to maximize the similarity of positive region pairs and the difference of negative region pairs in the representation space. These two loss functions were jointly used for pre-training of the model.

RESULTS

In the segmentation task for 3 ultrastructures of the glomerular filtration barrier based on the private dataset GlomEM, USRegCon achieved promising segmentation results for basement membrane, endothelial cells, and podocytes, with Dice coefficients of (85.69 ± 0.13)%, (74.59 ± 0.13)%, and (78.57 ± 0.16)%, respectively, demonstrating a good performance of the model superior to many existing image-level, pixel-level, and region-level self-supervised contrastive learning methods and close to the fully- supervised pre-training method based on the large- scale labeled dataset ImageNet.

CONCLUSION

USRegCon facilitates the model to learn beneficial region representations from large amounts of unlabeled data to overcome the scarcity of labeled data and improves the deep model performance for glomerular ultrastructure recognition and boundary segmentation.

Revealing specific transformation pattern of sulfonamides during wastewater biological treatment processes by molecular networking nontarget screening

Biotransformation of emerging contaminants (ECs) is of importance in various natural and engineered systems to eliminate the adverse effects of ECs toward organisms. In wastewater, structurally similar ECs may transform through similar reactions triggered by common enzymes. However, the transformation pattern for them was scarcely studied. To fill the research gaps, five sulfonamides were chosen as the targeted ECs with similar structure to explore the transformation pattern in wastewater biological treatment experiments at lab scale. Through molecular networking based nontarget screening, 45 transformation products (TPs) of sulfonamides were identified and 14 of them were newly found. On the basis, five specific transformation patterns were summarized for sulfonamides by transformation pathways comparing, reaction frequency analyzing and dominant TPs comparing. Results suggested that pterin-chelation and formylation (dominant transformation pathway) and acetylation, methylation and deamination reactions were commonly occurred for sulfonamides in wastewater. Among them, the role of formylation as the dominant transformation pathway for sulfonamides transformed in wastewater was firstly reported in present study. Subsequent frontier molecular orbital calculation suggested the active site of amino (N₁H₂-) may contribute the specific transformation pattern of sulfonamides. Present study reveals the specific transformation pattern of sulfonamides from the aspect of TPs and transformation pathways. In the future, knowledge on the specific transformation pattern can be used to regulate and enhance the removal of a class of ECs with similar structure rather than just one of ECs.

Prediction of pharmaceuticals removal in activated sludge system under different operational parameters using an extended ASM-PhACs model

Removal of pharmaceuticals is essential in wastewater treatment systems due to their release and accumulation in the environment, which are raising issues for the environment and human health. A mathematical model could be used to predict pharmaceuticals removal under various operational parameters and assess the contributions of different removal pathways to pharmaceuticals removal. Here an ASM-PhACs model was established to describe pharmaceuticals removal including diclofenac (DCF), erythromycin (ERY), gemfibrozil (GEM) and carbamazepine (CBZ) removal in activated sludge system. The pharmaceuticals removal processes linked to co-metabolic biodegradation through the growth of ammonia oxidizing bacteria (AOB), metabolic biodegradation through AOB, metabolic biodegradation through heterotrophic bacteria (HB) and sludge adsorption were incorporated into activated sludge model (ASM1) framework. The kinetic equations were established for each pharmaceuticals removal process. To provide the experimental data for model calibration and validation, two sets of batch tests were designed and conducted in the laboratory scale using SBR technology. According to the batch test data and results of sensitivity analysis, the newly added parameters and some original default parameters affecting pharmaceuticals removal processes were screened and calibrated. The model could accurately simulate all the dynamics of chemical oxygen demand, nitrogen and pharmaceuticals under various conditions. To explore the effect of operational parameters on pharmaceuticals removal efficiency, the wide range of operational parameters was analyzed during model simulation. According to the simulation results, both influent NH₄⁺-N concentration and DO were found to be the significant parameters that impact the removal of DCF, ERY and GEM. AOB biodegradation played an important role in DCF, ERY and GEM removal. The developed model framework helps to investigate the removal mechanisms and key influencing factors of pharmaceuticals removal, thus providing guidelines for reactor design, operation and optimization aiming at pharmaceuticals removal.

Nontarget screening based on molecular networking strategy to identify transformation products of citalopram and sertraline in wastewater

Citalopram (CIT) and sertraline (SER) are highly consumed antidepressants worldwide and have been extensively detected in wastewater. Due to the incomplete mineralization, transformation products (TPs) of them can be detected in wastewater. Comparing with parent compounds, knowledge on TPs are limited. To fill these research gaps, lab-scale batch experiments, WWTPs sampling and in silico toxicity prediction were implemented to investigate the structure, occurrence and toxicity of TPs. Based on molecular networking nontarget strategy, 13 TPs of CIT and 12 TPs of SER were tentatively identified. Among them, 4 TPs from CIT and 5 TPs from SER were newly found in present study. TPs identification results compared with results obtained from previous nontarget strategies demonstrated that the excellent performances for molecular networking strategy on candidate TPs prioritizing and new TPs finding, especially for low abundance TPs. Further, transformation pathways for CIT and SER in wastewater were proposed. Newly identified TPs provided insights on defluorination, formylation and methylation for CIT and dehydrogenation, N-malonylation and N-acetoxylation for SER transformed in wastewater. Nitrile hydrolysis and N-succinylation were found to be the dominant transformation pathways for CIT and SER in wastewater, respectively. WWTPs sampling results shown the concentrations of SER and CIT ranged from 0.46 to 28.66 ng/L and 17.16 to 58.36 ng/L. In addition, 7 TPs of CIT and 2 TPs of SER found in lab-scale wastewater samples were found in WWTPs. In silico results suggested 2 TPs of CIT may be more toxic than CIT toward all three trophic levels organisms. Present study provides new insights into the transformation processes of CIT and SER in wastewater. In addition, the necessity of paying more attention on TPs was further highlighted from the aspects of toxicity for TPs of CIT and SER in effluent of WWTPs.

Occurrence and removal of four artificial sweeteners in wastewater treatment plants of China

Artificial sweeteners discharged into aquatic environments have raised concern because of their ubiquitous occurrence and potential biological effect. And some of them, such as sucralose (SUC) and acesulfame (ACE), have been identified as emerging contaminants. Wastewater treatment plants (WWTPs) are considered as important sources and sinks of artificial sweeteners discharged into the environment. In this study, the occurrence and removal of four representative artificial sweeteners in 12 WWTPs located in different provinces of China were investigated. The results showed that artificial sweeteners were detected widely in the investigated WWTPs. The median concentrations of the four target artificial sweeteners were detected in influents at levels of 0.03-3.85 μg L^-1 and decreased in the order of SUC > ACE > aspartame (APM) > neotame (NTM). Additionally, the per capita mass loads of total artificial sweeteners in the WWTPs could be affected by the location of the WWTPs and were higher in southern cities than in northern cities. It was also found that there was a distinct linear correlation between the per capita mass load of ACE in influents and population density. During the treatment of WWTPs, the overall removal efficiency of artificial sweeteners ranged from -116% to 99.1%. Among the target artificial sweeteners, SUC and ACE might have potential risk to aquatic environments based on the calculation of the risk quotient. Thus, advanced treatment processes were carried to further remove SUC and ACE to reduce their long-term cumulative effect. Overall, UV/H₂O₂ and UV/PDS showed a better effect than granular activated carbon (GAC) adsorption in the removal of artificial sweeteners. The reaction constants of ACE by UV/H₂O₂ and UV/PDS were higher than those of SUC, which is related to molar extinction coefficients. Meanwhile, the adsorption ability of GAC adsorption for SUC was better than that of ACE, which is in correlation with the octanol-water partition coefficient. By comparison of removal efficiency, UV/PDS was considered as the most suitable advanced treatment process to remove ACE and SUC.

Fate of progesterone and norgestrel in anaerobic/anoxic/oxic (A/A/O) process: Insights from biotransformation and mass flow

Progesterone (P4) and norgestrel (NGT) are two steroid progestogens that can pose adverse effects on aquatic organisms at ng/L levels. Despite increasing concern on their occurrence and removal in wastewater, their fate in the wastewater treatment process has not been well documented. This study identified the transformation products (TPs) of P4 and NGT in anaerobic/anoxic/oxic (A/A/O) process. Potential functional genes involved in biotransformation of P4 and NGT were explored. The elimination or formation behavior of P4, NGT and convinced TPs along various units of A/A/O process was revealed through the mass flow. Results showed that 12 and 13 TPs were identified in the P4 and NGT groups respectively, wherein 10 identical TPs and C-19 structures transformation pathways were observed in both groups. Six genes were found that may be involved in dehydrogenation and isomerization reactions in the pathways. Mass flow indicated that P4 and NGT were mainly eliminated in anaerobic and anoxic units, while convinced TPs mainly formed in anaerobic and anoxic units and were then eliminated in aerobic unit. Further, the ecological risks of the effluent should not be ignored as residual compounds including P4 or NGT and their TPs in the effluent still posed adverse effects on zebrafish transcript levels.

Spatiotemporal variation and removal of selected endocrine-disrupting chemicals in wastewater treatment plants across China: Treatment process comparison

In this study, the spatiotemporal variation in the occurrence of 19 endocrine-disrupting chemicals (EDCs) spanning four seasons in wastewater treatment plants (WWTPs) located in 17 Chinese cities was investigated. Removal efficiencies for selected EDCs in 17 WWTPs over four seasons were analyzed. Contributions of conventional and advanced process segments to the removal efficiency of EDCs were explored, which compared the removal efficacies of a variety of secondary and advanced processes for EDCs. Results showed that EDCs were extensively detected in WWTPs, with bisphenol A (BPA), dehydroepiandrosterone (DHRD), androstenedione (ADD), and pregnanediol (PD) being dominant in excess sludge and wastewater. Seasonally, the greatest seasonal differences were observed in the influent, with the concentrations of 12 EDCs varying significantly between seasons. Spatially, concentrations of BPA, DHRD, testosterone (TTR), and estriol (E3) in the influent significantly varied between the northern and southern WWTPs. Fourteen EDCs were removed steadily among the four seasons, while most EDCs had considerable removal differences between WWTPs. Contribution of the conventional process segment to the removal of individual EDCs was higher than that of the advanced process segment in WWTPs. Quantitative meta-analysis indicated that the anaerobic-anoxic-anaerobic (AAO) process in the various secondary processes had the highest removal of the target EDCs. Mass balance analysis further suggested that biodegradation in the aerobic tank of the AAO process was the major pathway for most EDCs removal. This study systematically depicts the spatiotemporal distribution of EDCs in WWTPs located across China and deepens the comprehension of EDCs removal in Chinese WWTPs from a treatment process perspective.

CARBONATED BEVERAGES AFFECT LEVELS OF ANDROGEN RECEPTOR AND TESTOSTERONE SECRETION IN MICE

Objectives

This work aimed to study the influences of carbonated beverages (CBs) on the testis growth and the expression levels of androgen receptor (AR) of mice.

Methods

Two experimental groups of 30 mice each PEP-1 and PEP-2 drank 50% and 100% Pepsi-Cola, respectively for 15 days. Other 2 experimental groups of 30 mice each COC-1 and COC-2 drank 50% and 100% Coca-Cola, respectively for 15 days. The control group (CG) of 30 mice drank water. Bilateral testes were harvested aseptically on days 0, 5, 7, 10, 13 and 15. Real-time PCR and Western blot were implemented to detect levels of androgen receptor (AR) mRNA and protein in testis tissues.

Results

Testes masses of PEP-2, COC-1 and COC-2 were greater than those of PEP-1 and CG (P < 0.05). On day 15, testis longitudinal diameter (TLD) of CBs-treated mice was increased as compared to CG. TLD, testes transverse diameters (TTD) and AR proteins levels of PEP-2 and COC-2 were increased in comparison with CG (P<0.05). Serum testosterone concentrations of PEP-2 were higher than that of COC-1 and CG (P < 0.05). Levels of AR mRNAs of four CBs-treated mice were increased by 60.18%, 67.26%, 65.93% and 78.76%.

Conclusions

A high concentration of Coca-Cola and Pepsi-Cola could raise TLD and TDD, enhance testosterone secretion, and increase serum EGF concentrations.

Effects of DOM characteristics from real wastewater on the degradation of pharmaceutically active compounds by the UV/H2O2 process

The characteristics of dissolved organic matter (DOM) can significantly affect the degradation of target compounds by the advanced oxidation processes. In this study, the effects of the different hydrophobicity/hydrophilicity fractions, molecular weight (MW) fractions, fluorescence components and molecular components of DOM extracted from municipal wastewater on the degradation of 4 pharmaceutically active compounds (PhACs), including carbamazepine, clofibric acid, atenolol and erythromycin by the UV/H₂O₂ process were investigated. The results showed that the degradation rate constants of 4 PhACs decreased dramatically in the presence of DOM. The linear regressions of 4 PhACs degradation as a function of specific fluorescence intensity (SFI) are exhibited during the degradation of 4 PhACs and the SFI may be used to evaluate effect of DOM on target compounds in wastewater. The hydrophobic acid (HPO-A) exhibited the strongest inhibitory effect on degradation of 4 PhACs during oxidation process. The small MW fractions of DOM significantly inhibited the degradation of 4 PhACs during oxidation process. Among three fluorescence components, hydrophobic humic-like substances may significantly inhibit the degradation of 4 PhACs during oxidation process. At the molecular level, the formulas may be derived from terrestrial sources. CHO compound may significantly inhibit the degradation of 4 PhACs during oxidation process on formula classes. The unsaturated hydrocarbons, carbohydrates and tannins compounds may significantly inhibit the effectiveness of the UV/H₂O₂ process on compound classes.

Insight into the effect of wastewater-derived dissolved organic matter composition on norgestrel degradation in activated sludge: Coupled bacterial community and molecular characteristics

Dissolved organic matter (DOM) mediates the microbial transformation of micropollutants, including norgestrel (NGT) in natural waters. However, little is known of the effect of complex and variable wastewater-derived DOM composition on NGT degradation during wastewater treatment. In this study, the relationship between the compositions of initial DOM and NGT removal efficiencies of 17 wastewater treatment plants (WWTPs) in spring and summer were analyzed. The different molecular composition of DOM was selected in the lab to further explore its effect on NGT degradation by activated sludge. Results indicated that the DOM composition was a substantial driver of NGT removal in WWTPs. The discrepancies in the initial DOM composition contributed to the differences in the kinetics of NGT degradation by activated sludge. The larger rapid decay phase rates of NGT are usually accompanied by a large proportion of labile substances in DOM. High-throughput sequencing and ultrahigh-resolution mass spectrometry were used to further analyze the evolution of bacterial communities and DOM molecular composition were combined with network analysis to reveal the intrinsic relationship that how DOM composition affected NGT degradation by regulating core microbes. Eighty-nine core OTUs were significantly associated with NGT degradation, and 73 occurred in the rapid decay phase, implying that NGT degradation was mainly regulated by the initial composition of DOM. Nine major transformation products were identified in different groups with widely varying concentrations or relative abundances of these transformation products. This work provides valuable insights into the effects of wastewater-derived DOM composition on NGT degradation by activated sludge and innovatively explores the influence mechanisms from the bacterial community and molecular characterization perspectives.

[Analysis of factors associated with the structure of the gut microbial community in HIV/AIDS patients in some areas of Henan province]

Objective: To investigate the related factors associated with the structure of the gut microbial community in HIV infection/AIDS cases (HIV/AIDS) in Henan province. Methods: The convenience sampling method was used to select 122 cases who were receiving Antiviral Treatment (ART) or ART-naive in Henan. Whole blood and stool specimens were collected. Genomic DNA of stool samples was extracted, and the V3-V4 hypervariable regions of the 16S rRNA gene were sequenced using Illumina NovaSeq 6000 high-throughput sequencing system. The analysis was performed mainly at the genus level, and the 30 genera with the highest abundance were selected as a measure of the gut microbial community structure. The correlation between community structure and related factors was analyzed using redundancy analysis and Envfit function. Results: 122 cases were finally completed sequencing and analysis, the average BMI was (23.62±2.78) kg/m² and the average age was (47±13) years. Among them, male accounted for 66.39% (81/122), and heterosexual transmission route constituted the largest ratio, accounting for 51.64% (63/122). 36 cases were treatment naive (29.51%, 36/122). The top five dominant genera of the total population (122 cases) were Prevotella, Roseburia, Megamonas, Bacteroides and Faecalibacterium and the top five dominant genera of the ART population (86 cases) were Prevotella, Megamonas, Bacteroides, Roseburia and Faecalibacterium. The top five dominant genera of the ART-naive population (36 cases) appeared as Prevotella, Faecalibacterium, Roseburia, Bacteroides and Megamonas. In the total population, ART (P<0.001) was the most significant factors of community structure. Other significant factors were: duration of diagnosis (P=0.009), viral load (P=0.022) and anti-HCV (P=0.018). ART was positively correlated with Megamonas and negatively correlated with Prevotella, Roseburia and Faecalibacterium, while the other three factors of duration of diagnosis, viral load and anti-HCV were positively correlated with Prevotella, Roseburia and Faecalibacterium and negatively correlated with Megamonas. In the ART-naive population, duration of diagnosis (P=0.003) were the factors significantly associated with community structure. Duration of diagnosis was positively correlated with Roseburia, Faecalibacterium, Megamonas and Prevotella and negatively correlated with Bacteroides. Conclusion: ART and duration of diagnosis were factors significantly associated with gut microbial community structure and had a significant impact on multiple high-abundance genera.

Identification of Periosteal Osteogenic Progenitors in Jawbone

Unlike long bones, jawbone development is mainly accomplished by intramembranous ossification resulting from the differentiation of periosteal progenitor cells. However, the spatiotemporal ontogeny of periosteal progenitor cells during jawbone development and repair remains elusive. In this study, we mapped the transcriptional landscape of the human jawbone periosteum at single-cell resolution and identified a cathepsin K (Ctsk)⁺ periosteal subset. Lineage tracing analysis indicated that Ctsk-Cre-labeled periosteal cells could make contributions to jawbone development. However, different from the periosteal-specific location of Ctsk⁺ cells in long bone, we also identified Ctsk⁺ stromal cells in jawbone marrow and implied the heterogeneity of jawbone Ctsk⁺ hierarchy. In further analysis of the periosteal progenitor cell subset of heterogeneous Ctsk⁺ hierarchy, we identified a unique Ctsk⁺Ly6a⁺ subset of cells. The additional marker Ly6a helped to further confine the progenitor subset to the jawbone periosteum and was nearly undetectable in the bone marrow. Defects in the jawbone could activate the migration and osteogenic differentiation of Ctsk⁺Ly6a⁺ cells. Local ablation of Ctsk⁺ cells by diphtheria reduced the number of Ctsk⁺Ly6a⁺ cells and delayed the repair of the bone defect. Taken together, we identify a novel periosteal osteogenic progenitor subset that is active in jawbone osteogenesis and healing.

Occurrence and removal of progestogens from wastewater treatment plants in China: Spatiotemporal variation and process comparison

This study investigated the overall occurrence and spatiotemporal variation of 19 progestogens in 608 samples collected from 17 wastewater treatment plants (WWTPs) distributed across China during four seasons. The aqueous removal efficiencies of progestogens were calculated and the efficacies of process segments, secondary and advanced processes, and process units in the removal of progestogens were explored. The results indicated that progestogens were widely detected in investigating WWTPs, with the progesterone, dydrogesterone, dienogest, ethisterone, and norethindrone were always dominant in the influent, secondary effluent, final effluent, and excess sludge. Seasonally, the influent exhibited more variability than the other matrices, that 10 progestogens concentrations varied significantly during the four seasons. Spatially, the influent concentrations of progestogens were generally higher in northern WWTPs than that in southern WWTPs during spring and summer. Eight progestogens were stably removed by the WWTPs across seasons, and most progestogens varied considerably in removal in different WWTPs. The conventional process segment was the dominant contributor to progestogen removal. The anaerobic-anoxic-oxic process and a combined process consisting of densadeg and cloth media filter and ultraviolet disinfection showed the highest removal of progestogens among various secondary and advanced treatment processes, respectively. Mass balance analysis showed that most progestogens were effectively eliminated in the aerobic unit, with biodegradation being the primary removal pathway. This study presents the first picture of the spatiotemporal dynamics of the distribution of progestogens in WWTPs of China and provides valuable information for better understanding of the occurrence and removal of progestogens in WWTPs.

Performance evaluation and mechanism of nitrogen removal in a packed bed reactor using micromagnetic carriers at different carbon to nitrogen ratios

Advanced nitrogen removal of effluent discharged from secondary treatment systems can avoid eutrophication. However, the lack of biodegradable organics limits biodenitrification. Packed bed reactors filled with carriers with different micromagnetic field (MMF) strengths were used to perform tertiary denitrification. The results showed that MMF significantly improved the denitrification performance, especially at low C/N ratios. Total nitrogen (TN) removal was increased by 4.12% with 0.6 mT MMF when C/N = 4 and increased by 7.06% and 8.06% with 0.3 mT and 0.9 mT MMFs when C/N = 3, respectively. Zooglea, Flavobacterium, and Denitratisoma contributed to the advanced denitrification performance under MMF. In addition, 0.6 mT MMF enhanced nitrogen metabolism and ABC transporter protein and two-component system activities of microorganisms under C/N = 4; 0.3 mT and 0.9 mT MMFs increased nitrogen, carbohydrate, and amino acid metabolism and ABC transporter protein activities under C/N = 3. These findings indicate that MMF has great potential for advanced denitrification from secondary effluent.

Metagenomic insights into the "window" effect of static magnetic field on nitrous oxide emission from biological nitrogen removal process at low temperature

This study aimed to explore whether the "window" effect of static magnetic field (SMF) on nitrous oxide (N₂O) emission from the biological nitrogen removal process at low temperature existed and reveal its biological mechanism at the gene level. Four sequencing batch reactors (SBRs) with SMFs of 0, 10, 45, and 75 mT were operated continuously for 110 days at 10 °C and the lowest N₂O-Gas cumulative emission (5.50 mg N/day) and N₂O conversion rate (4.28 %) in 45 mT SMF-SBR verified the existence of the "window" effect. In 45 mT SMF-SBR, nearly all enzymatic activities related to N₂O reduction and corresponding functional gene abundances improved significantly. Metagenomic high-throughput sequencing analysis revealed that Alicycliphilus denitricans, Paracoccus denitrificans, Rhodopseudomonas palustris, Pseudomonas stutzeri, and Dechloromonas aromatica, as species related to N₂O reduction, could be separately enriched by applying suitable SMF intensity. Gene functions annotation based on KEGG and CAZy databases indicated that SMF not only accelerated the rate of free ammonia into ammonia-oxidizing bacteria and electrons delivered to the corresponding denitrification reductases, but also enhanced the degradation of complex organic matter into smaller molecules, and thus reducing the production of N₂O via nitrifier denitrification and incomplete denitrification pathways at 10 °C. These findings provided a guideline and presented a blueprint of ecophysiology for the future application of magnetic field to the reduction of N₂O emission in wastewater treatment plants in the cold region.

Microbial Roles in Dissolved Organic Matter Transformation in Full-Scale Wastewater Treatment Processes Revealed by Reactomics and Comparative Genomics

Understanding the degradation of dissolved organic matter (DOM) is vital for optimizing DOM control. However, the microbe-mediated DOM transformation during wastewater treatment remains poorly characterized. Here, microbes and DOM along full-scale biotreatment processes were simultaneously characterized using comparative genomics and high-resolution mass spectrometry-based reactomics. Biotreatments significantly increased DOM's aromaticity and unsaturation due to the overproduced lignin and polyphenol analogs. DOM was diversified by over five times in richness, with thousands of nitrogenous and sulfur-containing compounds generated through microbe-mediated oxidoreduction, functional group transfer, and C-N and C-S bond formation. Network analysis demonstrated microbial division of labor in DOM transformation. However, their roles were determined by their functional traits rather than taxa. Specifically, network and module hubs exhibited rapid growth potentials and broad substrate affinities but were deficient in xenobiotics-metabolism-associated genes. They were mainly correlated to liable DOM consumption and its transformation to recalcitrant compounds. In contrast, connectors and peripherals were potential degraders of recalcitrant DOM but slow in growth. They showed specialized associations with fewer DOM molecules and probably fed on metabolites of hub microbes. Thus, developing technologies (e.g., carriers) to selectively enrich peripheral degraders and consequently decouple the liable and recalcitrant DOM transformation processes may advance DOM removal.

Screening priority indicator pollutants in full-scale wastewater treatment plants by non-target analysis

Wastewater treatment plants (WWTPs) are the main sources of emerging contaminants (ECs) in aquatic environment. However, the standards for limiting emerging pollutants in effluent are extremely lacking. We investigated the occurrence and removal of emerging pollutants in 16 WWTPs in China using non-target analysis. 568 substances screened out were divided into 9 kinds including 167 pharmaceuticals, 113 natural substances, 85 pesticides, 86 endogenous substances, 64 chemical raw materials, 14 personal care products, 17 food additives, 6 hormones and 16 others. And they were divided into 5 fates. Pesticides and pharmaceutical compounds seemed to be the most notable categories, the kinds detected in each sample is the largest compared with other compounds. Besides, the average removal rate of pesticides and pharmaceuticals in all WWTPs were the lowest, at 9.54% and 23.77%, respectively. Priority pollutants were screened by considering distribution of pollutants with different fates. Pollutants with the same fate especially "consistent" in different WWTPs had attracted attention. 4 potential priority pollutants including metoprolol, carbamazepine, 10, 11-dihydro-10, 11-dihydroxycarbamazepine and irbesartan were proposed. And it was found that the 4 compounds, "consistent suspects" and "consistent non-targets" had similar rankings of removal rate in 16 WWTPs, which can reflect the performance of different WWTPs.

Compositional characteristics of dissolved organic matter in pharmaceutical wastewater effluent during ozonation

The compositional characteristics of dissolved organic matter (DOM) in pharmaceutical wastewater effluent can affect the further improvement and application of the ozone treatment process. The present study investigated the changes of chemical structures, molecular weight (MW) distribution, hydrophobicity/hydrophilicity distribution, fluorescence properties and the molecular composition of DOM in pharmaceutical wastewater effluent during ozonation. Besides, the toxicity change of pharmaceutical wastewater effluent during ozonation was estimated. The results show that ozone is prone to attack high MW fractions, which contributes the most to the UV₂₅₄ value and could improve the biodegradability of refractory DOM in pharmaceutical wastewater effluent. Hydrophobic acid contained the most aromatic and unsaturated bonded organic matter, and was more readily oxidized under ozonation. In fluorescent components, ozonation significantly decreased humic-like acid compounds, and hydrophobic humic-like compounds exhibited the highest removal through parallel factor analysis. At the molecular level, the main organics removed by ozone were compounds with high H/C and low O/C, especially compounds where H/C >1.5. The CHO, CHON and CHOS compounds exhibited high removal under ozonation in formula classes. Lignin compounds, condensed aromatics compounds, and unsaturated hydrocarbons were effectively removed by ozone in compound classes. After ozonation, the number of lipid and sugar compounds increased. In addition, O/Cwa (the intensity-weighted average parameters of O/C) and NOSCwa (nominal oxidation state of carbon) were significantly positively correlated with acute toxicity on the luminescence. With the increase of ozone dose, the acute toxicity of pharmaceutical wastewater effluent after ozonation first decreased and then increased.

In-situ sludge reduction performance and mechanism in an anoxic/aerobic process coupled with alternating aerobic/anaerobic side-stream reactor

Activated sludge process with anaerobic side-stream reactors (SR) in the sludge recirculation can achieve in-situ sludge reduction, but sludge reduction efficiency is limited with the low hydraulic retention time (HRT) of SR. An anoxic/aerobic (AO) process, AO coupled with anaerobic SR and AO coupled with alternating aerobic/anaerobic side-stream reactor (AO-OASR) were operated to investigate enhancing effects of alternative aerobic and anaerobic condition (AltOA) in SR on sludge reduction and pollutants removal performance. The AltOA was firstly proposed into SR with a low HRT during the long-term continuous operation. The results showed that AO-OASR presented a lower effluent COD concentration (29.6%) with no adverse effect on nitrogen removal, compared to AO, owing to the intensified refractory carbon reuse in the mainstream aerobic tank. The sludge yield in AO-OASR (0.240 g SS/g COD) was 39.7% lower than that in AO. The OASR accelerated sludge lysis and particle organic matter hydrolysis due to the weakened network strength of flocs, leading to an enhanced increase (17.3 mg/L) of dissolved organic matter (DOM), especially for the fraction of molecular weight (MW) < 25 kDa. The OASR reduced the adenosine triphosphate (ATP) content for heterotrophic anabolism in the mainstream reactor by 42.9%, compared to the ASR. MW < 25 kDa of DOM caused the disturbance of oxidative phosphorylation with a decreasing ATP synthase activity under high-level electronic transport system, leading to ATP dissipation. The cooperation interaction of predator (norank_Chitinophagales), hydrolytic/fermentative bacteria (unclassified_Bacteroidia and Delftia), and slow grower (Trichococcus) played a key role in improving the sludge reduction and carbon reuse in AO-OASR. The results provided an efficient and cost-saving technology for sludge reduction with modified SR under low HRT, which is meaningful to overcome the present bottleneck of deficient reduction efficiency for application in wastewater treatment plants.

[Correlation between the primary tumor size of endometrial carcinoma and lymph node metastasis and recurrence]

Objective: To investigate the clinical significance of the primary tumor size in patients with endometrial carcinoma (EC). Methods: A total of 385 patients with EC admitted to Peking University People's Hospital from January 2006 to December 2016 with complete follow up data were selected, whose tumor size data before biopsy were retrospectively studied. Results: (1) The mean diameter of the primary tumor was (3.6±1.8) cm (range: 1-15 cm). And 48 cases were 0-<2 cm, 78 cases were 2-<3 cm, 92 cases were 3-<4 cm, 73 cases were 4-<5 cm, 94 cases were ≥5 cm. The diameter of the tumor was associated with age <60 years old, premenopause, CA₁₂₅≥35 kU/L, non-parturition, poor differentiation, stage Ⅲ-Ⅳ, depth of myometrial infiltration ≥1/2, cervical interstitial involvement, adnexal metastasis and lymph node metastasis (all P<0.05), but not associated with body mass index, hypertension, diabetes mellitus, pathology, lymph-vascular space invasion (all P>0.05). (2) Among the 334 patients underwent lymphadenectomy, 45 (13.5%, 45/334) cases with lymph node metastasis were observed. Stratified analysis showed that lymph node metastasis and recurrence rate of patients with EC gradually increased with the increase of tumor size (P<0.05). Adopting 2, 3, 4 and 5 cm as cut-off values of tumor size, there were significant differences in the rate of lymph node metastasis and recurrence among them observed (P<0.05), except for lymph node metastasis rate and recurrence rate when the cut-off value was 2 cm (P>0.05). (3) An receiver operating characteristic (ROC) curve analysis showed that a tumor diameter of 4.25 cm was the cut-off prognostic value to predict lymph node metastasis and recurrence of EC. Conclusions: Tumor diameter is significantly correlated with lymph node metastasis and recurrence in patients with EC. Tumor size should be considered in determining the scope of surgery and adjuvant therapy.

Mechanism and toxicity evaluation of catalytic ozonation over Cu/Ce-Al2O3 system aiming at degradation of humic acid in real wastewater

Humic acid (HA) is the main component of organic matter in effluent from wastewater treatment. The effective removal of HA is significant. In this study, a novel catalyst was prepared using a transition metal oxide as the active component and Al2O3 as a granular carrier. The mechanism of catalytic ozonation of HA under neutral pH conditions and its efficiency were investigated. Under the chosen conditions (an ozone concentration of 2.2 mg/L, 50 mg/L HA solution, catalyst dosage of 5 g/L and initial pH of 6.49), the Cu/Ce-Al2O3 bimetallic catalyst led to 54.79% TOC removal rate after 30 min; the removal rate by ozone alone was only 20.49%. The characteristics of organic compounds determined by FT-IR and GC-MS showed that organic compounds were degraded significantly by the catalytic treatment. The addition of catalysts could effectively degrade toxic intermediates and reduce the acute toxicity produced by ozonation. Humic acid substances were largely removed and transformed into biodegradable intermediates. This study proposes a new and efficient ozonation catalyst for practical applications in advanced wastewater treatment.

Enhancement of static magnetic field on nitrogen removal at different ammonium concentrations in a sequencing batch reactor: Performance and biological mechanism

This study aimed to investigate the effects and biological mechanism of external static magnetic fields (SMFs) on enhancing nitrogen removal at different influent ammonium nitrogen (NH₄⁺) concentrations. Four sequential batch reactors (SBRs) with SMFs of 0, 15, 30, and 50 mT were operated continuously for 196 days, during which the influent NH₄⁺-N concentration increased stepwise as 50, 100, 350, and 600 mg L^-1. The results showed that 50 mT had optimum effects on enhancing nitrogen removal, especially at high NH₄⁺-N concentrations (350 and 600 mg L^-1). The biological mechanism by which SMF influences nitrogen removal varies depending on the NH₄⁺ concentration. At low NH₄⁺-N concentrations (50 and 100 mg L^-1), a field of 50 mT increased key enzyme activities and corresponding functional gene abundances. Additionally, it further improved functional bacterial abundances, which involved nitrifying and denitrifying bacteria at high NH₄⁺ concentrations. These findings could provide guidance for the selection of optimum SMF intensity at different influent NH₄⁺ concentrations.

Expression and Clinical Significance of OX40 and OX40L mRNA in Hepatocellular Carcinoma

In a retrospective study, the expression of mRNA of membrane receptor OX40 and its ligand OX40L in liver tissues was analyzed in 34 patients with hepatocellular carcinoma in order to assess their clinical implications and prognostic value. Expression of mRNA was analyzed by reverse transcription PCR and TaqMan probes. Expression of OX40 mRNA was significantly higher in tumor specimens in paired comparison with the samples of adjacent non-tumor tissue or normal liver tissue of control patients. In contrast, expression of OX40L mRNA was lower in tumor tissue in paired comparison with the samples of adjacent non-tumor tissue or normal liver tissue. The clinical and pathological analysis showed that expression of OX40 mRNA significantly correlated with the degree of tumor differentiation; there was an insignificant decreasing trend in the length of recurrence-free period. It was hypothesized that microenvironment of hepatocellular carcinoma can induce immunosuppression due to dysregulation of the expression of OX40 and OX40L in tumor tissue, which promotes tumor growth.

Triplex qRT-PCR with specific probe for synchronously detecting Bovine parvovirus, bovine coronavirus, bovine parainfluenza virus and its applications

Bovine parvovirus (BPV), bovine coronavirus (BCoV) and bovine parainfluenza virus (BPIV) are common etiologies causing gastrointestinal and respiratory diseases in dairy herds. However, there are few reports on the synchronous detection of BPV, BCoV and BPIV. The present article aimed to develop a quick and accurate RT-PCR assay to synchronously detect BPV, BCoV and BPIV based on their specific probes. One pair universal primers, one pair specific primers and one specific probe was designed and synthesized. After the concentrations of primer and probe and annealing temperature were strictly optimized, the specificity, sensitivity and repeatability of the established triplex probe qRT-PCR were evaluated, respectively. The results showed the recombinant plasmids of pMD18-T-BPV, pMD18-T-BCoV and pMD18-T-BPIV were 554bp, 699bp and 704bp, respectively. The optimal annealing temperature was set at 45.0°C for triplex qRT-PCR. The triplex probe qRT-PCR can only synchronously detect BPV, BCoV and BPIV. Detection sensitivities were 2.0×102, 2.0×102 and 2.0×101 copies/μL for BPV, BCoV and BPIV, being 1000-fold greater than that in the conventional PCR. Detection of clinical samples demonstrated that triplex probe qRT-PCR had a higher sensitivity and specificity. The intra-assay and inter-assay coefficient of variation were lower than 2.0%. Clinical specimens verified that the triplex qRT-PCR had a higher sensitivity and specificity than universal PCR. In conclusion, this triplex probe qRT-PCR could detect only BPV, BCoV and BPIV. Minimum detection limits were 2.0×102 copies/μL for BPV and BCoV, and 2.0×101 copies/μL for BPIV. The sensitivity of this triplex probe qRT-PCR was 1000-fold greater than that in the conventional PCR. The newly qRT-PCR could be used to monitor or differentially diagnose virus infection.

Interactive effects of microplastics and selected pharmaceuticals on red tilapia: Role of microplastic aging

The present study used red tilapia (Oreochromis niloticusas) as the model fish to compare the interactive effects between aged and virgin microplastics (MPs) with the antibiotic sulfamethoxazole (SMX) and the β-blocker propranolol (PRP). To this end, the ultraviolet irradiation was used to simulate the MP aging in the environment. The accumulations of MPs and pharmaceuticals, and changes in enzyme activities and genes expressions in tilapia were also evaluated. Some physical properties of MPs changed during the aging process, reflected by 0.27- and 0.16-fold increases in the specific surface area and average pore volume, respectively. And more carbonyl formation was observed on the surface of aged MPs. Compared to the 14-d coexposure with virgin MPs, the MP aging increased the accumulation of PRP by 82.3% in the brain, whereas decreased the concentration of SMX by 46.1% in the gills. The stress on tilapia caused by the MPs and PRP was alleviated by the aging process, largely related to the lower neurotoxicity and reduced lipid peroxidation damages. However, the coexposure to aged MPs and SMX would result in higher inhibitions of cytochrome P450 enzymes activities. The results of the transcriptomics showed that the MP aging mainly influenced the expression of genes related to the metabolic process, immune system process, and the genetic information process in tilapia under the coexposure to MPs and pharmaceuticals. Collectively, our results suggest that the MP aging could induce complex changes in the interactive effects between MPs and pharmaceuticals on aquatic organisms.

Removal of pharmaceuticals by ammonia oxidizers during nitrification

The adverse effect of pharmaceuticals on ecosystem and human health raises great interest for the removal of pharmaceuticals in wastewater treatment plants (WWTPs). Enhanced removal of pharmaceuticals by ammonia oxidizers (AOs) has been observed during nitrification. This review provides a comprehensive summary on the removal of pharmaceuticals by AOs-ammonia oxidizing bacteria (AOB), ammonia oxidizing archaea (AOA), and complete ammonia oxidizer (comammox) during nitrification in pure ammonia oxidizing culture and mixed microbes systems. The superior removal of pharmaceuticals by AOs in conditions with nitrifying activity compared with the conditions without nitrifying activity was proposed. The contribution of AOs on pharmaceuticals removal in pure and mixed microbe systems was discussed and activated sludge modeling was suggested as the proper measure on assessing the contribution of AOs on the removal of pharmaceuticals in mixed microbe culture. Three transformation processes and the involved reaction types of pharmaceuticals transformation during nitrification were reviewed. The present paper provides a systematical summary on pharmaceuticals removal by different AOs across pure and mixed microbes culture during nitrification, which opens up the opportunity to optimize the wastewater biological treatment systems for enhanced removal of pharmaceuticals. KEY POINTS: • The superior removal of pharmaceuticals by ammonia oxidizers (AOs) was summarized. • The removal contribution of pharmaceuticals attributed by AOs was elucidated. • The transformation processes and reaction types of pharmaceuticals were discussed.

Effects of Fe3+ on microbial communities shifts, functional genes expression and nitrogen transformation during the start-up of Anammox process

In this study, the effect of Fe³⁺ on the start-up of Anammox process was investigated. Four EGSB reactors were operated with the addition of 0 (R1), 0.04 (R2), 0.08 (R3) and 0.14 (R4) mmol/L Fe³⁺, respectively. The results showed that Fe³⁺ remarkably improved the nitrogen loading rate (NLR) and operation efficiency of the reactor. After 180 days, the influent NH₄⁺-N concentration in the four reactors was 201.4, 301.8, 343.2, 380.2 mg N/L, and the NLR was 589.3, 877.6, 993.0, 1105.8 mg N/(L·d), respectively. And the nitrogen removal rate (NRR) in R2, R3 and R4 was respectively 1.54, 1.73 and 1.94 times of that in R1. High throughput sequencing revealed that Fe³⁺ could promote the enrichment of Anammox bacteria Candidatus Brocadia. Moreover, the analysis by qPCR indicated that the abundance of Anammox 16S rRNA gene and the functional gene hzsB increased, which showed a positive correlation with the concentration of Fe³⁺.

Predictive models for the degradation of 4 pharmaceutically active compounds in municipal wastewater effluents by the UV/H2O2 process

Pharmaceutically active compounds (PhACs) have been frequently detected in aquatic environment and raised concerns because of their environmental persistence and potential ecological risk, especially carbamazepine (CBZ), erythromycin (ERY), atenolol (ATL) and clofibric acid (CA). The UV/H₂O₂ advanced oxidation process was considered as an effective process to remove pharmaceuticals in wastewater. Because of the diverse structure of pharmaceuticals and the various wastewater matrices, this study established two models to predict the degradation of 4 PhACs in wastewater by UV/H₂O₂. Besides, the degradation pathway and toxicity of 4 PhACs by UV/H₂O₂ were explored. The degradation of 4 PhACs by UV/H₂O₂ followed the pseudo first-order kinetics pattern. The degradation rate of pharmaceuticals decreased as CBZ > ATL > CA > ERY. A kinetic model combining the steady state concentrations of HO∙ successfully predicted the degradation process of pharmaceuticals in 14 secondary municipal wastewater effluents. Also, a water matrix prediction model by response surface methodology (RSM) was established to estimate the degradation of pharmaceuticals well. A detailed and systematic comparison of two models in the objectives of models, predicting target contaminants, types of wastewater and parameters of models was made. In addition, the tentative transformation pathways of 4 PhACs by UV/H₂O₂ were proposed. 4 PhACs after UV/H₂O₂ treatment enhanced the toxicity, and prolongation of treatment time can reduce the toxicity on the luminescence.

[Preliminary analysis on COVID-19 case spectrum and spread intensity in different provinces in China except Hubei province]

Objective: To analyze the characteristics of COVID-19 case spectrum and spread intensity in different provinces in China except Hubei province. Methods: The daily incidence data and case information of COVID-19 were collected from the official websites of provincial and municipal health commissions. The morbidity rate, severity rate, case-fatality rate, and spread ratio of COVID-19 were calculated. Results: As of 20 March, 2020, a total of 12 941 cases of COVID-19 had been conformed, including 116 deaths, and the average morbidity rate, severity rate and case-fatality rate were 0.97/100 000, 13.5% and 0.90%, respectively. The morbidity rates in Zhejiang (2.12/100 000), Jiangxi (2.01/100 000) and Beijing (1.93/100 000) ranked top three. The characteristics of COVID-19 case spectrum varied from province to province. The first three provinces (autonomous region, municipality) with high severity rates were Tianjin (45.6%), Xinjiang (35.5%) and Heilongjiang (29.5%). The case-fatality rate was highest in Xinjiang (3.95%), followed by Hainan (3.57%) and Heilongjiang (2.70%). The average spread ratio was 0.98 and the spread intensity varied from province to province. Tibet had the lowest spread ratio (0), followed by Qinghai (0.20) and Guangdong (0.23). Conclusion: The intervention measures were effective in preventing the spread of COVID-19 and improved treatment effect in China. However, there were significant differences among different regions in severity, case-fatality rate and spread ratio.

Characteristics of DOM in 14 AAO processes of municipal wastewater treatment plants

The characteristics of dissolved organic matter (DOM) such as chemical composition, molecular weight (MW) distribution and hydrophobic/hydrophilic distribution can affect wastewater treatment efficiency, effluent quality and ecological risk. Fluorescence spectroscopy could provide a quick estimate of DOM characteristics during the monitoring of wastewater treatment plants (WWTPs). In this study, the characteristic and quantitative correlation of DOM from 14 anaerobic-anoxic-oxic (AAO) processes of WWTPs located in different provinces (municipalities) of China were investigated. The results showed that DOM of MW <1 kDa was the largest group of DOM in influent and secondary effluent, and DOM removal increased as the MW increased. Hydrophilic (HPI) fraction and hydrophobic acid (HPO-A) comprised the major portion of DOM in influent and secondary effluent and exhibited the lowest rate of removal. In addition, DOM concentrations in the northern provinces were higher than in the southern provinces, which were related to the water quality, economy and population. There were positive correlations between specific fluorescence intensity (SFI) and the MW <1 kDa, 1-5 kDa and <10 kDa fractions. The smaller the molecular weight, the better the correlation. Strong positive correlations between regional fluorescence proportion (f_i) and HPI were found. SFI and f_i may be explored as potential indicators of the MW fractions and the hydrophobic/hydrophilic distribution of DOM in AAO processes WWTPs.

Effect of magnetic powder on nitrous oxide emissions from a sequencing batch reactor for treating domestic wastewater at low temperatures

Low temperatures can lead to an increase of N₂O generation and emission from the nitrogen removal process in wastewater treatment plants. This study investigated the effect of the addition of magnetic powder on N₂O generation and emission from a sequencing batch reactor treating domestic sewage at low temperatures. The results showed that the magnetic powder simultaneously inhibited N₂O generation and emission and improved the removal of NH₄⁺, total nitrogen (TN), and chemical oxygen demand at low temperatures. Furthermore, the conversion rate of N₂O (N₂O generation to TN removal) was reduced. The efficacy of the magnetic powder depended on its concentration, which could be ordered as 1 mg/L > 2 mg/L > 4 mg/L. With the addition of magnetic powder, especially at the 1 mg/L level, the activities of nitrification and denitrification enzymes in activated sludge were significantly improved and the growth of ammonium and nitrite oxidizing bacteria was also promoted.

Comparison of diclofenac transformation in enriched nitrifying sludge and heterotrophic sludge: Transformation rate, pathway, and role exploration

The adverse effects of diclofenac (DCF) on ecosystems and human health have induced increasing interest in its elimination in environment. DCF can be removed to some extent by nitrifying and heterotrophic microbes during wastewater treatment process. However, the actual roles of nitrifying and heterotrophic microbes in the transformation of DCF remain unclear. In this study, batch experiments were conducted to explore the biological transformation of DCF in enriched nitrifying sludge (NS), heterotrophic sludge (HS) and activated sludge (AS) systems. DCF was removed three times faster in enriched NS than in HS. Three transformation pathways of DCF in enriched NS, HS, and AS were proposed and compared. Hydroxylation was the crucial transformation step in the three transformation pathways. A faster hydroxylation reaction contributed to the faster removal of DCF in enriched NS. More transformation products (TPs) and reaction types (i.e. reductive dechlorination, sulphidation and methylation reactions) were observed in HS. Furthermore, some TPs that were resistant to degrade in enriched NS, such as DCF-benzoic acid, could be further transformed in HS. Accordingly, enriched NS could remove DCF more rapidly while HS could further transform some TPs resistant to degrade in enriched NS. Nitrifying and heterotrophic microbes may cooperatively and rapidly eliminate not only DCF, but also its TPs.

MiR-137-5p alleviates inflammation by upregulating IL-10R1 expression in rats with spinal cord injury

OBJECTIVE

This study aims to explore the potential functions of miR-137-5p and interleukin-10R1 (IL-10R1) in mediating the immune inflammation after spinal cord injury (SCI).

MATERIALS AND METHODS

Firstly, primary microglia were isolated from the spinal cord of newborn rats. Expression levels of miR-137-5p and IL-10R1 in LPS-induced microglia were determined by quantitative Real-time polymerase chain reaction (qRT-PCR). In addition, mRNA expressions of Janus kinase (Jak1) and signal transducer and activator of transcription 3 (STAT3) were also examined by qRT-PCR. SCI model in rats was established and randomly assigned to three different groups: Sham group, SCI group and miR-137-5p mimic group. Within one week of spinal injury, relative levels of miR-137-5p and IL-10R1 in rats of different groups were detected by qRT-PCR. The mRNA levels of JAK1, tyrosine kinase (Tyk2) and STAT3 in rats were also measured. Moreover, protein expression of IL-1β, TNF-α and IL-6 in rats was measured by Western blotting. Finally, the improvement of locomotor function in three groups of rats within 4 weeks via BBB rating scale.

RESULTS

Transfection of miR-137-5p mimics upregulated relative levels of IL-10R1, JAK1 and STAT3 in in vitro cultured microglia. Similarly, IL-10R1/JAK1/STAT3 pathway was activated in rats administrated with miR-137-5p mimics. Nevertheless, relative levels of classical inflammatory stimulators IL-1β, TNF-α and IL-6 were downregulated accordingly by miR-137-5p overexpression. Moreover, miR-137-5p effectively improved the locomotor function of rats after SCI.

CONCLUSIONS

MiR-137-5p exerts an anti-inflammatory response by upregulating IL-10R1, thus improving locomotor function and alleviating spinal cord injury.

Effects of MiR-146a on repair and inflammation in rats with spinal cord injury through the TLR/NF-κB signaling pathway

OBJECTIVE

This study aims to investigate the effects of micro ribonucleic acid-34a (miR-34a) on repair and inflammation of rats with spinal cord injury (SCI) through the toll-like receptor (TLR)/nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB) signaling pathway.

MATERIALS AND METHODS

In this study, 12 healthy rats (control group (CG)) and 24 SCI rats (experimental group (EG-1)) were selected as subjects. A total of 12 experimental rats randomly selected from EG-1 were injected with 5 µL agomiR-146 as EG-2 group. Serum levels of miR-146a, TLR, NF-κB, interleukin-8 (IL-8) and IL-6 of rats in CG and EG-1 were detected by quantitative reverse transcription-polymerase chain reaction (qRT-PCR). Furthermore, the protein levels of miR-146a, TLR, NF-κB, IL-8 and IL-6 in rats of CG and EG were detected via Western blotting. Spinal cord tissue sections of SCI rats after treatment with agomiR-146 were observed by hematoxylin and eosin staining (H&E) staining.

RESULTS

The mRNA level of miR-146a in SCI rats was significantly lower than that in healthy rats, and the difference was statistically significant (p < 0.05). The mRNA levels of TLR, NF-κB, IL-8 and IL-6 in SCI rats were markedly higher than those in healthy rats, showing significant differences (p < 0.05). However, the relative mRNA level of miR-146a in EG-2 group was significantly higher than that in EG-1 group, with a significant difference (p < 0.05). Relative level of miR-146a was not significantly different between EG-2 group and CG group (p > 0.05). Meanwhile, the mRNA levels of TLR, NF-κB, IL-8 and IL-6 in EG-2 group were evidently lower than those in EG-1 group, displaying significant differences (p < 0.05).

CONCLUSIONS

MiR-146a can promote the repair of SCI and reduce inflammatory responses in rats through the TLR/NF-κB signaling pathway.

Non-target and suspect screening of per- and polyfluoroalkyl substances in Chinese municipal wastewater treatment plants

Wastewater treatment plant (WWTP) is one of the major sources of per- and polyfluoroalkyl substances (PFASs) to the aquatic environment. In this study, wastewater samples were collected from 17 WWTPs in 17 cities of China to investigate emerging PFASs in WWTPs. To comprehensively identify PFASs in the wastewater samples, an integrated suspect screening, homologue-based and fragment-based non-target screening method is proposed. Sixty-three PFASs from 13 classes (25 subclasses) were identified, including 14 legacy and 49 emerging PFASs, and this study is the first to report on 12 of these PFASs. We found that emerging PFASs concentration had a significantly positive correlation with the gross domestic product, indicating more substitution of legacy PFASs in the developed area of China. We also analyzed the removal of the 13 PFAS classes, and found that all discovered PFAS classes were not completely removed after the treatment process, whereas the class of perfluoroalkyl ether alcohols significantly increased. All of these results imply that the release of emerging or unknown PFASs from WWTPs is a universal but not negligible problem in China.

Toxicological effects of nano- and micro-polystyrene plastics on red tilapia: Are larger plastic particles more harmless?

Nanoplastics (NPs) and microplastics (MPs) are a heterogeneous class of pollutants with diverse sizes in aquatic environments. To evaluate the hazardous effects of N/MPs with different sizes, the accumulation, oxidative stress, cytochrome P450 (CYP) enzymes, neurotoxicity, and metabolomics changes were investigated in the red tilapia exposed to three sizes of polystyrene (PS) N/MPs (0.3, 5, and 70 - 90 μm). After 14-d exposures, the largest particles (70 - 90 μm) showed the highest accumulation levels in most cases. Exposures to PS-MPs (5 and 70 - 90 μm) caused a more severe oxidative stress in red tilapia than PS-NPs. The activity of CYP3A-related enzyme was obviously inhibited by PS-NPs, whereas the CYP enzymes in the liver may not be sensitive to MP exposures. In the brain, only 5 μm PS-MPs significantly inhibited the acetylcholinesterase activity. After exposures, the treatments with 0.3, 5, and 70 - 90 μm N/MPs resulted in 31, 40, and 23 significantly differentially expressed metabolites, respectively, in which the pathway of tyrosine metabolism was significantly affected by all the three PS-N/MP exposures. Overall, the PS particles within the μm size posed more severe stress to red tilapia. Our results suggest that the toxicity of N/MPs may not show a simply monotonic negative correlation with their sizes.