Development and validation of a nomogram for predicting specific mortality risk: A study of competing risk model based on real endometrial cancer patients.

OBJECTIVE: This study aimed to construct a competing risk prediction model for predicting specific mortality risks in endometrial cancer patients from the SEER database based on their demographic characteristics and tumor information. METHODS: We collected relevant clinical data on patients with histologically confirmed endometrial cancer in the SEER database between 2010 and 2015. Univariate and multivariate competing risk models were used to analyze the risk factors for endometrial cancer-specific death, and a predictive nomogram was constructed. C-index and receiver operating characteristic curve (ROC) at different time points were used to verify the accuracy of the constructed nomogram. RESULTS: There were 26 109 eligible endometrial cancer patients in the training cohort and 11 189 in the validation cohort. Univariate and multivariate analyses revealed that Age, Marriage, Grade, Behav, FIGO, Size, Surgery, SurgOth, Radiation, ParaAortic_Nodes, Peritonea, N positive, DX_liver, and DX_lung were independent prognostic factors for specific mortality in endometrial cancer patients. Based on these factors, a nomogram was constructed. Internal validation showed that the nomogram had a good discriminative ability (C-index = 0.883 [95% confidence interval [CI]: 0.881-0.884]), and the 1-, 3-, and 5-year AUC values were 0.901, 0.886 and 0.874, respectively. External validation indicated similar results (C-index = 0.883 [95%CI: 0.882-0.883]), and the 1-, 3-, and 5- AUC values were 0.908, 0.885 and 0.870, respectively. CONCLUSION: We constructed a competing risk model to predict the specific mortality risk among endometrial cancer patients. This model has favorable accuracy and reliability and can provide a reference for the development and update of endometrial cancer prognostic risk assessment tools.

Risk factors associated with high-dose methotrexate induced toxicities.

INTRODUCTION: High-dose methotrexate (HDMTX) therapy poses challenges in various neoplasms due to individualized pharmacokinetics and associated adverse effects. Our purpose is to identify early risk factors associated with HDMTX-induced toxicities, paving the way for personalized treatment. AREAS COVERED: A systematic review of PubMed and Cochrane databases was conducted for articles from inception to July 2023. Eligible studies included reviews, clinical trials, and real-world analyses. Irrelevant studies were excluded, and manual searches and citation reviews were performed. Factors such as MTX exposure, drug interactions, demographics, serum albumin, urine pH, serum calcium, and genetic polymorphisms affecting MTX transport (e.g. SLCO1B1), intracellular folate metabolism (MTHFR), cell development (ARID5B), metabolic pathways (UGT1A1, PNPLA3), as well as epigenetics were identified. EXPERT OPINION: This comprehensive review aids researchers and clinicians in early identification of HDMTX toxicity risk factors. By understanding the multifaceted risk factors associated with hematologic malignancies, personalized treatment approaches can be tailored to optimize therapeutic outcomes.

Impact of fine particulate matter on liver injury: evidence from human, mice and cells.

BACKGROUND: A recently discovered risk factor for chronic liver disease is ambient fine particulate matter (PM2.5). Our research aims to elucidate the effects of PM2.5 on liver injury and the potential molecular mechanisms. METHODS AND RESULTS: A population-based longitudinal study involving 102,918 participants from 15 Chinese cities, using linear mixed-effect models, found that abnormal alterations in liver function were significantly associated with long-term exposure to PM2.5. The serum levels of alanine aminotransferase, aspartate aminotransferase, gamma-glutamyl transferase, direct bilirubin, and triglyceride increased by 2.05%, 2.04%, 0.58%, 2.99%, and 1.46% with each 10 µg/m3 increase in PM2.5. In contrast, the serum levels of total protein, albumin, and prealbumin decreased by 0.27%, 0.48%, and 2.42%, respectively. Mice underwent chronic inhalation exposure to PM2.5 experienced hepatic inflammation, steatosis and fibrosis. In vitro experiments found that hepatocytes experienced an inflammatory response and lipid metabolic dysregulation due to PM2.5, which also activated hepatic stellate cells. The down-regulation and mis-localization of polarity protein Par3 mediated PM2.5-induced liver injury. CONCLUSIONS: PM2.5 exposure induced liver injury, mainly characterized by steatosis and fibrosis. The down-regulation and mis-localization of Par3 were important mechanisms of liver injury induced by PM2.5.

Regulation of Angiogenesis by Non-Coding RNAs in Cancer.

Non-coding RNAs, including microRNAs, long non-coding RNAs, and circular RNAs, have been identified as crucial regulators of various biological processes through epigenetic regulation, transcriptional regulation, and post-transcriptional regulation. Growing evidence suggests that dysregulation and activation of non-coding RNAs are closely associated with tumor angiogenesis, a process essential for tumor growth and metastasis and a major contributor to cancer-related mortality. Therefore, understanding the molecular mechanisms underlying tumor angiogenesis is of utmost importance. Numerous studies have documented the involvement of different types of non-coding RNAs in the regulation of angiogenesis. This review provides an overview of how non-coding RNAs regulate tumor angiogenesis. Additionally, we discuss emerging strategies that exploit non-coding RNAs for anti-angiogenic therapy in cancer treatment. Ultimately, this review underscores the crucial role played by non-coding RNAs in tumor angiogenesis and highlights their potential as therapeutic targets for anti-angiogenic interventions against cancer.

Utilization of Medications for Opioid Use Disorder Among West Virginia Medicaid Enrollees Following Medicaid Coverage of Methadone.

BACKGROUND: West Virginia entered an institution for mental disease Section 1115 waiver with the Centers for Medicare & Medicaid Services in 2018, which allowed Medicaid to cover methadone at West Virginia's nine opioid treatment programs (OTPs) for the first time. METHODS: We conducted time trend and geospatial analyses of Medicaid enrollees between 2016 and 2019 to examine medications for opioid use disorder utilization patterns following Medicaid coverage of methadone, focusing on distance to an OTP as a predictor of initiating methadone and conditional on receiving any, longer treatment duration. RESULTS: Following Medicaid coverage of methadone in 2018, patients receiving methadone comprised 9.5% of all Medicaid enrollees with an opioid use disorder (OUD) diagnosis and 10.6% in 2019 (P < 0.01). In 2018, two-thirds of methadone patients either had no prior OUD diagnosis or were not previously enrolled in Medicaid in our observation period. Patients residing within 20 miles of an OTP were more likely to receive methadone (marginal effect [ME]: -0.041, P < 0.001). Similarly, patients residing in metropolitan areas were more likely to receive treatment than those residing in nonmetropolitan areas (ME: -0.019, P < 0.05). Metropolitan patients traveled an average of 15 miles to an OTP; nonmetropolitan patients traveled more than twice as far (P < 0.001). We found no significant association between distance and treatment duration. CONCLUSIONS: West Virginia Medicaid's new methadone coverage was associated with an influx of new enrollees with OUD, many of whom had no previous OUD diagnosis or prior Medicaid enrollment. Methadone patients frequently traveled far distances for treatment, suggesting that the state needs additional OTPs and innovative methadone delivery models to improve availability.

Medications For Opioid Use Disorder Increased Among Louisiana Medicaid Enrollees During Policy Reforms, 2018-21.

Increasing access to medications for opioid use disorder (MOUD) is a key strategy in addressing the opioid crisis. To increase MOUD access, state governments have pursued a combination of increased funding for MOUD and requirements that providers offer treatment. Louisiana has pursued multiple strategies, including a requirement that residential treatment programs offer MOUD as part of their licensure. Using Louisiana Medicaid claims data for enrollees with diagnosed OUD from the period 2018-21, we analyzed trends in MOUD between enrollees treated in residential and nonresidential settings and across demographic subgroups, and we compared trends by MOUD type. MOUD use more than tripled from 2018 to 2021 among Louisiana Medicaid enrollees diagnosed with OUD. Most of the increase in MOUD was attributable to buprenorphine use. Methadone uptake also contributed to greater MOUD use but was almost exclusively used by enrollees treated in nonresidential settings, whereas naltrexone was consistently more common in residential treatment. By 2021, differences persisted across demographic groups: MOUD use was highest among enrollees who were White, were older, had comorbidities, and lived in a metropolitan area. Policies that promote MOUD in substance use treatment programs, particularly residential programs, are critical tools for policy makers confronting a complex and unprecedented national overdose crisis.

Simulated impact of mobile opioid treatment program units on increasing access to methadone for opioid use disorder.

OBJECTIVE: To model the potential impact of mobile methadone unit implementation in Louisiana on net medication for opioid use disorder (MOUD) treatment rates. DATA SOURCES/STUDY SETTING: We use secondary Louisiana Medicaid claims data between 2020 and 2021. STUDY DESIGN: We simulate the impact of mobile methadone units in Louisiana using two approaches: (1) a "Poisson regression approach," which predicts the number of opioid use disorder (OUD) patients that might use methadone at mobile locations based on the underlying association between methadone use and proximity to a brick-and-mortar methadone clinic; (2) a "policy approach," which leverages local treatment uptake rates following the expansion of methadone coverage to Louisiana Medicaid beneficiaries in 2020 to estimate methadone use following mobile unit implementation. Models were run in cases where mobile methadone operators could choose their operation locations freely and in a separate instance where they were restricted to serving rural locations. DATA COLLECTION: Our analytic sample includes 43,341 Louisiana Medicaid beneficiaries with one or more primary or secondary diagnoses for opioid dependence. PRINCIPAL FINDINGS: We predict that 10 new mobile methadone units in Louisiana would increase the net MOUD treatment rate in the state by 0.54-2.39 percentage points. If these mobile units delivered Methadone exclusively to rural areas, they could increase rural MOUD treatment by 8.54-13.67 percentage points. Further, roughly 20% of all beneficiaries residing in rural areas being treated with methadone would be an average of 24 miles closer to a methadone treatment provider following mobile unit implementation. CONCLUSIONS: Mobile methadone units represent a promising innovation in the delivery of methadone that is likely to increase methadone use, especially in underserved rural locations. However, we find significant variation in their impact conditional on where they choose to operate, and so careful location planning will be required to maximize their benefit.

Efficacy of the long-acting gonadotropin-releasing hormone agonist long protocol on IVF/ICSI outcomes of patients with repeated implantation failure.

OBJECTIVE: The present study aimed to investigate the effect of long-acting gonadotropin-releasing hormone agonist (GnRHa) long protocol on in vitro fertilization/intracytoplasmic sperm injection (IVF/ICSI) outcomes of patients with repeated implantation failure (RIF). METHODS: The present study was carried out from June 1, 2016 to June 30, 2021. A total of 665 patients with RIF were enrolled into the study and classified by the ovarian stimulation protocols. The outcome parameters were compared in each group. In addition, we evaluated the expression of homeobox A10 (HOXA10), integrin ß3 and leukemia inhibitory factor (LIF) in endometrial tissues between groups by quantitative RT-PCR. RESULTS: Patients who received the long-acting GnRHa long protocol had significantly higher clinical pregnancy rates (58.0%, 41.7% and 39.9%, respectively; P = 0.008 and 0.003), implantation rates (38.1%, 30.3%, and 30.1%, respectively; P = 0.001 and <0.001) and live birth rates (50.3%, 36.3%, and 31.3%, respectively; P = 0.020 and 0.002) compared with the short-acting GnRHa long protocol and GnRH antagonist protocol. In addition, we found that long-acting GnRHa could improve the expression of HOXA10 (P < 0.05). CONCLUSION: The long-acting GnRHa long protocol could improve endometrial receptivity and IVF/ICSI clinical outcomes of RIF patients compared with the short-acting GnRHa long protocol and GnRH antagonist protocol.

Strategies for Assessing Health Information Credibility Among Older Social Media Users in China: A Qualitative Study.

The fact that social media gives users easy access to online health information raises the question of what information evaluation strategies older adults use to distinguish trustworthy from unreliable health information. Identifying how older adults assess the credibility of health information that they acquire on social media is an important step toward understanding and reducing their susceptibility to health misinformation. In this study, we investigated the credibility assessment strategies used by older WeChat users in China. Following a qualitative approach, we conducted in-depth interviews with 40 WeChat users 65-85 years old (M = 71.75, SD = 6.65) in China who had acquired health information on WeChat. Results of theoretical thematic analysis revealed five source-based and content-based evaluative strategies: (1) determining the communicative orientation of the source, (2) assessing source reputation, (3) confirming content based on life experiences, (4) checking for exaggeration in claimed effects, and (5) assessing the consistency of content across sources. Older WeChat users' reliance on certain heuristic cues and their self-reliant approach to assessing information credibility provide contextual explanations for the link between heuristic processing and susceptibility to health misinformation. The findings have implications for anti-misinformation interventions targeting the older population in China and potentially beyond.

Systematic comparison of genome information processing and boundary recognition tools used for genomic island detection.

Genomic islands are fragments of foreign DNA that are found in bacterial and archaeal genomes, and are typically associated with symbiosis or pathogenesis. While numerous genomic island detection methods have been proposed, there has been limited evaluation of the efficiency of the genome information processing and boundary recognition tools. In this study, we conducted a review of the statistical methods involved in genomic signatures, host signature extraction, informative signature selection, divergence measures, and boundary detection steps in genomic island prediction. We compared the performances of these methods on simulated experiments using alien fragments obtained from both artificial and real genomes. Our results indicate that among the nine genomic signatures evaluated, genomic signature frequency and full probability performed the best. However, their performance declined when normalized to their expectations and variances, such as Z-score and composition vector. Based on our experiments of the E. coli genome, we found that the confidence intervals of the window variances achieved the best performance in the signature extraction of the host, with the best confidence interval being 1.5-2 times the standard error. Ordered kurtosis was most effective in selecting informative signatures from a single genome, without requiring prior knowledge from other datasets. Among the three divergence measures evaluated, the two-sample t-test was the most successful, and a non-overlapping window with a small eye window (size 2) was best suited for identifying compositionally distinct regions. Finally, the maximum of the Markovian Jensen-Shannon divergence score, in terms of GC-content bias, was found to make boundary detection faster while maintaining a similar error rate.

Enhancement of KMnO4 treatment on cyanobacteria laden-water via 1000 kHz ultrasound at a moderate intensity.

1000 kHz high-frequency ultrasound at 0.12 and 0.39 W/mL intensity was used to enhance the inactivation of suspensions of Microcystis aeruginosa cells using KMnO4. With 10 mg/L of KMnO4, ultrasound at 0.12 W/mL intensity was found to be effective in inactivating the cyanobacteria within 10 min. A Weibull model was found to describes the inactivation well. Its concave shape shows that some cells have a certain resistance to this treatment. Cytometry and microscopic analysis confirm that the treatment damages cell integrity. Despite that the extracellular organic matter in the water was not significantly increased. The concentration of extracellular cyanobacterial toxins even decreased. The filtered suspension of inactivated cyanobacteria was used to cultivate mung beans, and the suspension did not hinder their germination. This provides a new idea for using cyanobacteria-laden wastewater. These findings suggest a technique for speeding up the oxidation of Microcystis cells using KMnO4 with ultrasound at moderate intensity, which provide new insights into the biological effects of ultrasound.

Immunotherapy: A promising novel endometriosis therapy.

Endometriosis is a common disease of the female reproductive system and has malignant features. Although endometriosis by itself is a benign disease, its erosive growth characteristics lead to severe pelvic pain and female infertility. Unfortunately, several aspects of the pathogenesis of endometriosis are still unclear. Furthermore, the clinical therapeutic methods are unsatisfactory. The recurrence rate of endometriosis is high. Accumulating evidence suggests that the onset and development of endometriosis are closely related to the abnormal function of the female autoimmune system, especially the function of some immune cells such as the aggregation of neutrophils, abnormal differentiation of macrophages, decreased cytotoxicity of NK cells, and abnormal function of T- and B-cell lines. Therefore, immunotherapy is probably a novel therapeutic strategy for endometriosis besides surgery and hormone therapy. However, information regarding the clinical application of immunotherapy in the treatment of endometriosis is very limited. This article aimed to review the effects of existing immunomodulators on the development of endometriosis, including immune cell regulators and immune factor regulators. These immunomodulators clinically or experimentally inhibit the pathogenesis and development of endometriosis lesions by acting on the immune cells, immune factors, or immune-related signaling pathways. Thus, immunotherapy is probably a novel and effective clinical treatment choice for endometriosis. Experimental studies of the detailed mechanism of immunotherapy and large-scale clinical studies about the effectiveness and safety of this promising therapeutic method are required in the future.

Comprehensive analysis of the prognosis, tumor microenvironment, and immunotherapy response of SDHs in colon adenocarcinoma.

Background: Succinate dehydrogenase (SDH), one of the key enzymes in the tricarboxylic acid cycle, is mainly found in the mitochondria. SDH consists of four subunits encoding SDHA, SDHB, SDHC, and SDHD. The biological function of SDH is significantly related to cancer progression. Colorectal cancer (CRC) is one of the most common malignant tumors globally, whose most common histological subtype is colon adenocarcinoma (COAD). However, the correlation between SDH factors and COAD remains unclear. Methods: The data on pan-cancer was obtained from The Cancer Genome Atlas (TCGA) database. Kaplan-Meier survival analysis showed the prognostic ability of SDHs. The cBioPortal database reflected genetic variations of SDHs. The correlation analysis was conducted between SDHs and mitochondrial energy metabolism genes (MMGs) and the protein-protein interaction (PPI) network was built. Consequently, Univariate and Multivariate Cox Regression Analysis on SDHs and other clinical characteristics were conducted. A nomogram was established. The ssGSEA analysis visualized the association between SDHs and immune infiltration. Immunophenoscore (IPS) explored the correlation between SDHs and immunotherapy, and the correlation between SDHs and targeted therapy was investigated through Genomics of Drug Sensitivity in Cancer. Finally, qPCR and immunohistochemistry detected SDHs' expression. Results: After assessing SDHs differential expression in pan-cancer, we found that SDHB, SDHC, and SDHD benefit COAD patients. The cBioPortal database demonstrated that SDHA was the top gene in mutation frequency rank. Correlation analysis mirrored a strong link between SDHs and MMGs. We formulated a nomogram and found that SDHB, SDHC, SDHD, and clinical characteristics correlated with COAD patients' survival. For T helper cells, Th2 cells, and Tem, SDHA, SDHB, SDHC, and SDHD were significantly enriched in the high expression group. Moreover, COAD patients with high SDHA expression were more suitable for immunotherapy. And COAD patients with different SDHs' expression have different sensitivity to targeted drugs. Further verifying the gene and protein expression levels of SDHs, we found that the tissues were consistent with the bioinformatics analysis. Conclusions: Our study analyzed the expression and prognostic value of SDHs in COAD, explored the pathway mechanisms involved, and the immune cell correlations, indicating that SDHs might be biomarkers for COAD patients.

A Widening Divide: Cigarette Smoking Trends Among People With Substance Use Disorder And Criminal Legal Involvement.

People with substance use disorder (SUD) smoke cigarettes at a rate more than twice that of the general population. Policies and programs have focused on promoting smoking cessation among people with SUD, yet it is unclear whether interventions have adequately reached the subgroup involved in the criminal legal system, who have among the highest smoking rates. Drawing on repeated cross-sections of the National Survey on Drug Use and Health, we found that smoking rates declined by 9.4 percentage points overall among people with SUD from 2010 to 2019, but rates remained virtually unchanged among the subgroup with criminal legal involvement. In regression analyses focused on people with SUD, three-quarters of the excess smoking burden for those with criminal legal involvement at baseline (2010-13) was accounted for by controlling for sociodemographics, substance use type, health insurance, and recent SUD treatment. However, even after we controlled for these same factors, the disparity in smoking prevalence among people with SUD between those with and without criminal legal involvement remained constant over time. These findings underscore the need for smoking cessation interventions focused on the criminal legal system, including correctional facilities and SUD treatment programs that serve people in this population.

Is the long-acting gonadotropin-releasing hormone agonist long protocol better for patients with endometriosis undergoing IVF?

OBJECTIVE: To investigate the effect of the long-acting gonadotropin-releasing hormone agonist (GnRHa) long protocol on in vitro fertilization (IVF) outcomes of patients with endometriosis (EMs). METHODS: This retrospective cohort study was carried out from July 1, 2016 to June 30, 2021. In all, 798 patients with EMs who underwent first IVF were enrolled. The patients were classified by the ovarian stimulation protocols. The clinical outcomes of IVF were compared in each group. RESULTS: Those EMs patients who received the long-acting GnRHa long protocol had significantly higher clinical pregnancy rate (72.00%, 60.70% and 50.90%, respectively; P = 0.047 and 0.010) and implantation rate (51.0%, 44.6%, and 38.7%, respectively; P = 0.006 and <0.001) compared with the short-acting GnRHa long protocol and the GnRH antagonist protocol. Live birth rate was also significantly higher than the GnRH antagonist protocol (60.10% vs. 40.0%, P = 0.032), but not statistically different from the short-acting GnRHa (60.10% vs. 53.80%, P = 0.443). In addition, they also had significantly higher duration of stimulation, total dose of gonadotropin, and number of high-quality embryos transferred compared with other groups (P < 0.001). CONCLUSIONS: The long-acting GnRHa long protocol could improve IVF outcomes of patients with EMs compared with the short-acting GnRHa long protocol and the GnRH antagonist protocol.

Confine, Defect, and Interface Manipulation of Fe3 Se4 /3D Graphene Targeting Fast and Stable Potassium-Ion Storage.

The fast electrochemical kinetics behavior and long cycling life have been the goals in developing anode materials for potassium ion batteries (PIBs). On account of high electron conductivity and theoretical capacity, transition metal selenides have been deemed as one of the promising anode materials for PIBs. Herein, a systematic structural manipulation strategy, pertaining to the confine of Fe3 Se4 particles by 3D graphene and the dual phosphorus (P) doping to the Fe3 Se4 /3DG (DP-Fe3 Se4 /3DG), has been proposed to fulfill the efficient potassium-ion (K-ion) evolution kinetics and thus boost the K-ion storage performance. The theoretical calculation results demonstrate that the well-designed dual P doping interface can effectively promote K-ion adsorption behavior and provide a low energy barrier for K-ion diffusion. The insertion-conversion and adsorption mechanism for multi potassium storage behavior in DP-Fe3 Se4 /3DG composite has been also deciphered by combining the in situ/ex situ X-ray diffraction and operando Raman spectra evidences. As expected, the DP-Fe3 Se4 /3DG anode exhibits superior rate capability (120.2 mA h g-1 at 10 A g-1 ) and outstanding cycling performance (157.9 mA h g-1 after 1000 cycles at 5 A g-1 ).

Novel Affibody Molecules Specifically Bind to SARS-CoV-2 Spike Protein and Efficiently Neutralize Delta and Omicron Variants.

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic has been an unprecedented public health disaster in human history, and its spike (S) protein is the major target for vaccines and antiviral drug development. Although widespread vaccination has been well established, the viral gene is prone to rapid mutation, resulting in multiple global spread waves. Therefore, specific antivirals are needed urgently, especially those against variants. In this study, the domain of the receptor binding motif (RBM) and fusion peptide (FP) (amino acids [aa] 436 to 829; denoted RBMFP) of the SARS-CoV-2 S protein was expressed as a recombinant RBMFP protein in Escherichia coli and identified as being immunogenic and antigenically active. Then, the RBMFP proteins were used for phage display to screen the novel affibody. After prokaryotic expression and selection, four novel affibody molecules (Z14, Z149, Z171, and Z327) were obtained. Through surface plasmon resonance (SPR) and pseudovirus neutralization assay, we showed that affibody molecules specifically bind to the RBMFP protein with high affinity and neutralize against SARS-CoV-2 pseudovirus infection. Especially, Z14 and Z171 displayed strong neutralizing activities against Delta and Omicron variants. Molecular docking predicted that affibody molecule interaction sites with RBM overlapped with ACE2. Thus, the novel affibody molecules could be further developed as specific neutralization agents against SARS-CoV-2 variants. IMPORTANCE SARS-CoV-2 and its variants are threatening the whole world. Although a full dose of vaccine injection showed great preventive effects and monoclonal antibody reagents have also been used for a specific treatment, the global pandemic persists. So, developing new vaccines and specific agents are needed urgently. In this work, we expressed the recombinant RBMFP protein as an antigen, identified its antigenicity, and used it as an antigen for affibody phage-display selection. After the prokaryotic expression, the specific affibody molecules were obtained and tested for pseudovirus neutralization. Results showed that the serum antibody induced by RBMFP neutralized Omicron variants. The screened affibody molecules specifically bound the RBMFP of SARS-CoV-2 with high affinity and neutralized the Delta and Omicron pseudovirus in vitro. So, the RBMFP induced serum provides neutralizing effects against pseudovirus in vitro, and the affibodies have the potential to be developed into specific prophylactic agents for SARS-CoV-2 and its variants.

Ultrasonic Activated Biochar and Its Removal of Harmful Substances in Environment.

Biochar has been widely used in the fields of environment and energy, and green preparation can make biochar-based materials more environmentally friendly. Particularly, in the low-temperature pyrolysis of biochar, labile C with low biological toxicity is the main influencing factor of bacteria in soil. Therefore, it is worth studying to develop the fabrication technology of low-temperature pyrolysis biochar with rich pore structure. The mechanical effect of ultrasonic cavitation is considered to be an effective strategy for the preparation of biochar. However, the sonochemical effects on biochar remain to be studied. In this review, ultrasonic modification and ultrasonic-chemical modification on biochar has been reviewed. Metal oxide/biochar composites can also be obtained by an ultrasonic-chemical method. It is worth mentioning that there have been some reports on the regeneration of biochar by ultrasound. In addition to ultrasonic preparation of biochar, ultrasound can also trigger the sonocatalytic performance and promote the adsorption ability of biochar for the removal of harmful substances. The catalytic mechanism of ultrasound/biochar needs to be further investigated. For application, biochar prepared by ultrasound has been used for the removal of heavy metals in water, the adsorption of carbon dioxide, and soil remediation.

Trends In The Use Of Treatment For Substance Use Disorders, 2010-19.

Rapidly rising drug overdose rates in the United States during the past decade underscore the need to increase access to treatment among people with substance use disorders (SUDs). We analyzed trends in the use of treatment services among people with SUDs during the period 2010-19, using data from the National Survey on Drug Use and Health. Compared with 2013, outpatient visits for general health in the prior year increased 3.6 percentage points by the 2017-19 period. Use of any SUD treatment in the prior year remained unchanged, but treatment use among people involved in the criminal legal system increased by about 6.2 percentage points by the end of the study period. Among those receiving SUD treatment, there was a 14.9-percentage-point increase in having treatment paid for by Medicaid between 2010-13 and 2017-19. Although access to general medical care and insurance coverage have improved for people with SUD, our study findings underscore the importance of renewed efforts to increase the use of SUD treatment.

Fine particulate matter air pollution and subclinical cardiovascular outcomes: A longitudinal study in 15 Chinese cities.

AIMS: Although previous studies have linked short-term exposure to fine particulate matter (PM2.5) air pollution with various molecular biomarkers of cardiovascular system, limited evidence is available for indicators at clinical or subclinical levels. We examined the associations between short-term PM2.5 exposure and a range of clinical or subclinical indicators of cardiovascular health in general population. METHODS AND RESULTS: A longitudinal repeated-measure study was conducted among 247,640 participants who repeatedly visited health examination centers in 15 typical cities across China from 2013 to 2020. A total of 19 well-established indicators of cardiovascular risk or injury were evaluated and air quality data at nearest fixed-site monitors were collected. Linear mixed-effects models with distributed lag models were used to analyze the potentially lagged effects of PM2.5. The average daily PM2.5 concentration was 48 µg/m3 during the study period. PM2.5 exposure was associated with significant changes of 16 indicators with the effects generally peaked on lag 0 to 3 day. For an interquartile range (IQR) elevation (37 µg/m3) in PM2.5 concentrations over lag 0-7 day, the cumulative percentage changes were 0.50% to 1.27% in heart rates and blood pressure, 0.10% to 5.04% in inflammatory markers, -0.29% to 1.39% in blood viscosity parameters, -0.67% to 3.45% in blood lipids, 0.89% in blood homocysteine, 0.13% to 0.78% in myocardial enzymes, and 3.03% in pulse wave velocity. These associations were not substantially changed after adjusting concomitant exposures to gaseous pollutants. CONCLUSION: Short-term exposure to PM2.5 may induce early cardiovascular effects in general population, including acute inflammation, myocardial injury, increased blood viscosity, vascular stiffness and hyperlipidemia.