Effects of Omega-3 Fatty Acids on Flow-mediated Dilatation and Carotid Intima Media Thickness: A Meta-analysis.

PURPOSE OF REVIEW: To investigate the effects of omega-3 fatty acids on flow-mediated dilatation (FMD) and carotid intima-media thickness (CIMT) and explore the factors influencing these effects. RECENT FINDINGS: FMD was significantly higher in the omega-3 fatty acid group compared to the control group (mean difference = 0.90%; p = 0.0003). In particular, the subgroup with CHD (both EPA + DHA < 1 g/day and ≥ 1 g/day) and the subgroup without CHD but with CHD risk factors (only EPA + DHA ≥ 1 g/day) showed significantly increased FMD after supplementation of omega-3 fatty acids. CIMT was not significantly different between the omega-3 fatty acid and control groups (standardized mean difference = -0.08; p = 0.26). Subgroup analysis of CHD patients was not conducted because of the limited number of studies. Intake of omega-3 fatty acids improved FMD in patients with CHD and patients with risk factors for CHD. Further research is needed on the effects of omega-3 fatty acids on CIMT.

Novel innovative computer-based test (Inno-CBT) item types for national licensing examinations for health care professionals.

BACKGROUND: An effective test mechanism to evaluate clinical knowledge and skills of the entry-level healthcare professionals is important for providing clinical competency and improving patient care. This study aimed to develop novel, innovative computer-based test (Inno-CBT) item types for application in the national examination of Korean healthcare professionals. METHODS: This exploratory study was conducted from May 2021 to March 2022 by a team of faculty members from pharmacy schools in South Korea. A literature search using PubMed, Google Scholar, RISS, Web of Science, and KoreaMed was performed. Forum presentations, media articles, and previous reports by the Korea Health Personnel Licensing Examination Institute (KHPLEI) were included. Workshops were held, information and ideas were collected and conceptualized, and item types were designed, drafted, and refined. By repeating this process, the Inno-CBT item types were finalized. RESULTS: Forty-one Inno-CBT item types with 28 subtypes were developed. New digital technologies, such as a reactive responsive media interface, an animation insertion, multimedia embedding, and network surfing, were utilized in these novel types. It was anticipated that these Inno-CBT item types would effectively measure abilities in healthcare knowledge, problem-solving skills, and professional behaviors. Some potential barriers to implementing the Inno-CBT item types include item difficulty, operational unfamiliarity, complexity in scoring protocols, and network security. CONCLUSIONS: A variety of styles of novel Inno-CBT item types were developed to evaluate the multifaceted and in-depth professional abilities required for healthcare professionals. Prior to implementing these item types in the national examination, item validation and technical support should be conducted.

Antihypertensive drug use and psoriasis: A systematic review, meta- and network meta-analysis.

AIMS: Diverse genetic and/or external factors may induce psoriasis. Drug exposure is 1 such prominent external factor; antihypertensive drugs are reportedly associated with psoriasis, but study results have been inconsistent. In this context, we investigated the associations between antihypertensive drugs and incidence if psoriasis via a systematic literature review and meta-analysis. METHODS: Literature search in databases such as PubMed, Embase and Web of Science was conducted on 8 January 2021, and obtained data were pooled for meta- and network meta-analysis. Fixed- or random effect models were used to calculate odds ratios (ORs) and 95% confidence intervals (CIs) for evaluating the strength of the associations between antihypertensive drugs and psoriasis incidence. In addition to meta-analysis, Bayesian network meta-analysis was performed. ResultsThirteen eligible studies were included for meta-analysis with 6 378 116 individuals and 8 studies for network meta-analysis with 5 615 918 individuals. All antihypertensive drugs were significantly associated with psoriasis incidence. In a meta-analysis, the pooled ORs were 1.67 (95% CI: 1.31-2.13) for angiotensin-converting enzyme (ACE) inhibitors, 1.40 (95% CI: 1.20-1.63) for ß-blockers, 1.53 (95% CI: 1.23-1.89) for calcium-channel blockers (CCBs), and 1.70 (95% CI: 1.40-2.06) for thiazide diuretics. For the comparative risks of psoriasis among antihypertensive drugs in the network meta-analysis, ORs were 2.09 (95% CI: 1.39-3.18) for ACE inhibitors, 1.35 (95% CI: 0.99-1.91) for BBs, 1.53 (95% CI: 1.07-2.24) for CCBs and 1.80 (95% CI: 1.23-2.66) for thiazide diuretics. CONCLUSION: This study confirmed the associations between antihypertensive drugs and psoriasis; ACE inhibitors, BBs, CCBs and thiazide diuretics increased the risk of psoriasis. Therefore, antihypertensive drug users should be carefully monitored for psoriasis.

Real-world prescribing and switching patterns of non-calcium containing phosphate binders in dialysis patients in South Korea
.

OBJECTIVE: Non-calcium containing phosphate binders (non-CPBs) are useful for the treatment of hyperphosphatemia without a concern of hypercalcemia in patients undergoing dialysis. However, due to their relatively high cost, prescribing non-CPBs is restricted in South Korea. This study was conducted to investigate prescribing patterns, especially switching between CPBs and non-CPBs, in dialysis patients in a real-world setting. MATERIALS AND METHODS: This is an observational study using the National Health Insurance Service claim data. The study population included patients who initiated dialysis between July 2012 and June 2013 and were prescribed phosphate binders at least once during the observation period (2012 - 2016) (n = 10,073). Medication costs and prescribing patterns including switching of phosphate binders were investigated. RESULTS: Compared with the first year of dialysis, the costs of phosphate binders more than doubled during the 4th year of dialysis (from US$ 28.4 to US$ 60.1), largely due to an increase in the cost of non-CPBs (from US$ 117.5 to US$ 237.8). Many patients continued to change drugs between CPBs and non-CPBs. The continuous prescription period of CPBs was shortened each time a drug was changed. A total of 551 patients (13.4%) changed their medication three times between CPBs and non-CPBs. CONCLUSION: Over time on dialysis, use of non-CPB increased and medication costs increased accordingly. Many patients continued to change drugs between CPBs and non-CPBs due to the restricted criteria of the health insurance. Further outcome research is necessary to evaluate the appropriateness of the clinical practice in which CPBs and non-CPBs are alternately used.

Twitter Analysis of the Nonmedical Use and Side Effects of Methylphenidate: Machine Learning Study.

BACKGROUND: Methylphenidate, a stimulant used to treat attention deficit hyperactivity disorder, has the potential to be used nonmedically, such as for studying and recreation. In an era when many people actively use social networking services, experience with the nonmedical use or side effects of methylphenidate might be shared on Twitter. OBJECTIVE: The purpose of this study was to analyze tweets about the nonmedical use and side effects of methylphenidate using a machine learning approach. METHODS: A total of 34,293 tweets mentioning methylphenidate from August 2018 to July 2019 were collected using searches for "methylphenidate" and its brand names. Tweets in a randomly selected training dataset (6860/34,293, 20.00%) were annotated as positive or negative for two dependent variables: nonmedical use and side effects. Features such as personal noun, nonmedical use terms, medical use terms, side effect terms, sentiment scores, and the presence of a URL were generated for supervised learning. Using the labeled training dataset and features, support vector machine (SVM) classifiers were built and the performance was evaluated using F1 scores. The classifiers were applied to the test dataset to determine the number of tweets about nonmedical use and side effects. RESULTS: Of the 6860 tweets in the training dataset, 5.19% (356/6860) and 5.52% (379/6860) were about nonmedical use and side effects, respectively. Performance of SVM classifiers for nonmedical use and side effects, expressed as F1 scores, were 0.547 (precision: 0.926, recall: 0.388, and accuracy: 0.967) and 0.733 (precision: 0.920, recall: 0.609, and accuracy: 0.976), respectively. In the test dataset, the SVM classifiers identified 361 tweets (1.32%) about nonmedical use and 519 tweets (1.89%) about side effects. The proportion of tweets about nonmedical use was highest in May 2019 (46/2624, 1.75%) and December 2018 (36/2041, 1.76%). CONCLUSIONS: The SVM classifiers that were built in this study were highly precise and accurate and will help to automatically identify the nonmedical use and side effects of methylphenidate using Twitter.

A meta-analysis of the influence of UGT1A6 genetic polymorphisms on valproic acid pharmacokinetics
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OBJECTIVES: Genetic polymorphisms in UGT1A6 might contribute to interindividual variability in the pharmacokinetics of valproic acid (VPA). However, whether the 541A>G and 552A>C variants decrease VPA concentration remains controversial. Herein, we performed a meta-analysis to evaluate the influence of UGT1A6 genetic polymorphisms on VPA pharmacokinetics. MATERIALS AND METHODS: Searches, two-step selection, data extraction, and quality assessment were performed using a conventional protocol, and the influence of UGT1A6 genetic polymorphisms on concentration-to-dose ratio was quantitatively assessed by pooled analysis using the Comprehensive Meta-Analysis program. RESULTS: Six studies using monotherapy were included in the quantitative analysis. Concentration-to-dose ratio of 541A>G and 552A>C homozygous variant were significantly lower than that of the wild-type (WT; standardized difference in means (SDM) = -0.771, 95% confidence interval (CI) = -1.123 to -0.419; SDM = -0.879, 95% CI = -1.257 to -0.500, respectively). Differences were also significant in both child and adult subgroups analysis. For heterozygous variants, there was no significant difference in concentration-to-dose ratio between 541A>G and 552A>C heterozygous variant and WT (SDM = -0.183, 95% CI = -0.449 to 0.084; SDM = -0.275, 95% CI = -0.647 to 0.097, respectively). CONCLUSION: In conclusion, concentration-to-dose ratio for VPA monotherapy were significantly lower for UGT1A6 homozygous variants 541A>G and 552A>C than for the WT.
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Network analysis of drug-related problems in hospitalized patients with hematologic malignancies.

PURPOSE: Network analysis was conducted to systematically analyze the relationship between causative drugs and types of drug-related problems (DRPs) in hospitalized patients with hematologic malignancies. METHODS: A total of 1187 DRPs identified in hematology wards between 2013 and 2015 were analyzed. DRPs were classified into 11 sub-domains for problems and 35 sub-domains for causes according to Pharmaceutical Care Network Europe classification. Causative drugs were classified by Anatomical Therapeutic Chemical code. Network analytic tool was used to represent the relationship between drugs, causes, and problems. In-degree centrality (CD-in) was calculated to identify major causes of DRPs. RESULTS: The following drugs accounted for more than 5% of DRP, including antibacterials (J01, 26.5%), drugs for acid-related disorders (A02, 11.5%), antiemetics (A04, 9.7%), antifungals (J02, 8.8%), and antineoplastic agents (L01, 7.0%). Inappropriate combinations (C1.3, CD-in of 161) of drugs for acid-related disorders, antifungals, and antineoplastic agents were major causes of DRPs and induced non-optimal effects of drug treatment (P1.2). Inappropriate dose adjustments (C3.6, CD-in of 151) of antibacterials lowered effects (P1.2) and increased side effects (P2.1). Missing necessary synergistic or preventive drugs, especially antiemetics, (C1.8, CD-in of 54) resulted in untreated indication (P1.4). CONCLUSIONS: DRPs were mainly related to medications for supportive care. More attention should be paid to interactions of drugs used for acid-related disorders, dose adjustment of antibacterials, and omission of antiemetics in hospitalized patients with hematologic malignancy.

Copy number variability analysis of pharmacogenes in patients with lymphoma, leukemia, hepatocellular, and lung carcinoma using The Cancer Genome Atlas data.

OBJECTIVE: Individual differences in drug efficacy and toxicity remain an important clinical concern. We investigated copy number variation (CNV) frequencies for pharmacogenes using The Cancer Genome Atlas dataset. MATERIALS AND METHODS: One hundred and fifty-two pharmacogenes were selected from liver hepatocellular carcinoma, lung squamous cell carcinoma (LUSC), acute myeloid leukemia, and lymphoid neoplasm diffuse large B-cell lymphoma (DLBL). The germ line and somatic CNV frequencies were analyzed. RESULTS: We found CNVs with more than 1% frequency in drug-metabolizing enzymes including CYP2A6, CYP2D6, GSTP1, CYP2E1, GSTM1, GSTT1, and SULT1A1, drug transporters such as SLC19A1 and SLC28A1, and targets such as FHIT in normal tissue or blood. GSTM1 had the highest frequency for gene gain (45.45, 39.18, 31.01, and 34.77%, respectively) and for gene loss (18.18, 29.38, 20.89, and 26.68%, respectively) in DLBL, acute myeloid leukemia, liver hepatocellular carcinoma, and LUSC. P2RY12 and P2RY1 had the highest frequency for gene gain in LUSC (26.95 and 26.68%, respectively) whereas ABCB1 and ABL2 had the highest frequency for gene gain in DLBL (27.27%) in cancer tissue or blood. CONCLUSION: Germ line and somatic CNVs of pharmacogenes may play a role in determining individual variations in drug responses. Inclusion of CNVs in pharmacogenetic variations holds promise as biomarkers that can increase the benefits and reduce the risks of drug therapy on an individual level.

Population pharmacokinetics of cyclosporine in hematopoietic stem cell transplant patients: consideration of genetic polymorphisms.

BACKGROUND: Cyclosporine (CsA), which is used for graft-versus-host disease prophylaxis in allogeneic hematopoietic stem cell transplant (allo-HSCT), has a narrow therapeutic range and large interindividual and intraindividual pharmacokinetic variability. Nevertheless, population pharmacokinetic (PopPK) studies of CsA in allo-HSCT are scarce. OBJECTIVE: The goal of our study was to build a PopPK model of CsA in allo-HSCT in consideration of demographic, clinical, and genetic polymorphisms data. METHODS: A total of 34 adult allo-HSCT patients who received CsA were enrolled prospectively. Demographic, clinical, and CYP3A5 *1/*3, CYP2C19 *1/*2/*3, ABCB1 3435C>T, 1236C>T, 2677G>T/A, ABCC2 -24C>T, 1249G>A, VDR Bsml, Apal polymorphisms data were collected. A PopPK modeling was conducted with NONMEM program. RESULTS: A 1-compartment model with a 2-transit absorption compartment model was developed. After the stepwise covariate model building process, weight was incorporated into clearance (CL) as a power function model with the exponent value of 0.419. The final typical estimate of CL was 21.2 L/h; volume of distribution was 430 L; logit-transformed bioavailability was 1.49 (bioavailability: 81%); and transit compartment rate was 2.87/h. None of the genetic polymorphisms in CYP3A5, CYP2C19, ABCB1, ABCC2, and VDR were significant covariates in the pharmacokinetics of CsA. CONCLUSIONS: In our study, it was observed that weight had a significant effect on CL. Genetic polymorphisms did not affect CsA pharmacokinetics. Prospective studies with a larger number of participants is needed to validate the results of this study.

Integration of the Natural Language Processing of Structural Information Simplified Molecular-Input Line-Entry System Can Improve the In Vitro Prediction of Human Skin Sensitizers.

Natural language processing (NLP) technology has recently used to predict substance properties based on their Simplified Molecular-Input Line-Entry System (SMILES). We aimed to develop a model predicting human skin sensitizers by integrating text features derived from SMILES with in vitro test outcomes. The dataset on SMILES, physicochemical properties, in vitro tests (DPRA, KeratinoSensTM, h-CLAT, and SENS-IS assays), and human potency categories for 122 substances sourced from the Cosmetics Europe database. The ChemBERTa model was employed to analyze the SMILES of substances. The last hidden layer embedding of ChemBERTa was tested with other features. Given the modest dataset size, we trained five XGBoost models using subsets of the training data, and subsequently employed bagging to create the final model. Notably, the features computed from SMILES played a pivotal role in the model for distinguishing sensitizers and non-sensitizers. The final model demonstrated a classification accuracy of 80% and an AUC-ROC of 0.82, effectively discriminating sensitizers from non-sensitizers. Furthermore, the model exhibited an accuracy of 82% and an AUC-ROC of 0.82 in classifying strong and weak sensitizers. In summary, we demonstrated that the integration of NLP of SMILES with in vitro test results can enhance the prediction of health hazard associated with chemicals.

Comparative efficacy of biologics for patients with inadequately controlled asthma: A network meta-analysis.

Background: Few studies have evaluated the comparative efficacy of biologics for asthma. This network meta-analysis aimed to compare the efficacy of biologics. Methods: This study included randomized controlled trials (RCTs) evaluating the efficacy of a biologic compared to a placebo or another biologic in patients with inadequately controlled asthma despite high-intensity treatment, published by January 6, 2022. Two researchers independently searched the PubMed, Embase, Web of Science, and Scopus and assessed the risk of bias using the Cochrane tool. The outcomes of interest were the annual asthma exacerbation rate (AER), forced expiratory volume per second before bronchodilator use (preBD FEV1), the asthma control questionnaire (ACQ), and asthma quality of life questionnaire (AQLQ) results. A frequentist network meta-analysis was conducted, and a random effects model was used to draw pooled incidence rate ratio or standardized mean differences. Results: Twenty-three RCTs with 8376 participants were retrieved. All biologics included in this study were associated with significantly better effects than placebo in AER, preBD FEV1, and ACQ outcomes. Although there were no significant differences between the biologics in the overall study population, patients with eosinophil levels ≥300 cells/µL or eosinophilic asthma showed that dupilumab and tezepelumab were significantly better than anti-IL-5 biologics in improving preBD FEV1. Additionally, in patients with eosinophil levels ≥300 cells/µL, benralizumab, unlike reslizumab, performed significantly better than placebo in improving ACQ and AQLQ outcomes. Conclusion: The comparative effects of biologics can be considered with phenotypes and biomarkers to help clinicians select an appropriate treatment for inadequately controlled asthma.

Cardioprotective Effects of PARP Inhibitors: A Re-Analysis of a Meta-Analysis and a Real-Word Data Analysis Using the FAERS Database.

Objective: This study aimed to assess the potential of PARP inhibitors to prevent cardiotoxicity. Methods: First, a re-analysis and update of a previously published study was conducted. Additional searches were conducted of the PubMed and Cochrane Central Register of Controlled Trials databases on 2 June 2023. After the selection process, the pooled odds ratio (OR) for cardiac adverse events (AEs) was calculated. Second, the FAERS database was examined for 10 frequently co-administered anticancer agents. The reporting odds ratio (ROR) was calculated based on the occurrence of cardiac AEs depending on the co-administration of PARP inhibitors. Results: Seven studies were selected for the meta-analysis. Although not statistically significant, co-administration of PARP inhibitors with chemotherapy/bevacizumab decreased the risk of cardiac AEs (Peto OR = 0.61; p = 0.36), while co-administration with antiandrogens increased the risk of cardiac AEs (Peto OR = 1.83; p = 0.18). A total of 19 cases of cardiac AEs were reported with co-administration of PARP inhibitors in the FAERS database. Co-administration of PARP inhibitors with chemotherapy/bevacizumab significantly decreased the risk of cardiac AEs (ROR = 0.352; 95% confidence interval (CI), 0.194-0.637). On the other hand, for antiandrogens co-administered with PARP inhibitors, the ROR was 3.496 (95% CI, 1.539-7.942). The ROR for immune checkpoint inhibitors co-administered with PARP inhibitors was 0.606 (95% CI, 0.151-2.432), indicating a non-significant effect on cardiac AEs. Conclusion: This study reports that PARP inhibitors show cardioprotective effects when used with conventional anticancer agents.

Comparative effects of glucose-lowering agents on endothelial function and arterial stiffness in patients with type 2 diabetes: A network meta-analysis.

BACKGROUND AND AIMS: Despite accumulating evidence on the potential of glucose-lowering agents (GLAs) to prevent cardiovascular events, the comparative effects of GLAs on vascular function remain unclear. This study utilized validated indicators such as flow-mediated dilation (FMD; positive value favors) and pulse wave velocity (PWV; negative value favors) to uncover the comparative effects of GLAs on vascular function. METHODS: Randomized controlled trials (RCTs) comparing the effects of GLAs on FMD or PWV with placebo or other GLAs in patients with type 2 diabetes (T2DM) were searched through PubMed and Embase. The frequentist method of network meta-analysis (NMA) was conducted using a random effects model, and standardized mean differences (SMDs) with 95% confidence intervals (CIs) were calculated. RESULTS: The NMA included 38 RCTs with 2,065 patients. Glucagon-like peptide-1 receptor agonists (GLP-1RAs) and sodium glucose cotransporter-2 inhibitors (SGLT-2Is) had significantly more positive effects on FMD improvement and PWV reduction than placebo. Thiazolidinedione (TZD) treatment resulted in significantly improved FMD compared to other GLAs as well as placebo (SMD: 1.14; 95% CI: 0.84 to 1.43). Both pioglitazone and rosiglitazone were discovered to have considerably more favorable effects on improving FMD and reducing PWV compared to placebo and other GLAs, as a result of the analysis incorporating each drug in the TZD class. The sensitivity analysis results corroborated the main findings. CONCLUSIONS: This NMA showed more favorable effects of GLP-1RAs and SGLT-2Is than placebo in improving both arterial stiffness and endothelial function in patients with T2DM. In addition, TZDs showed superior effects in improving endothelial function as compared with the other GLAs and placebo.

Population pharmacokinetics analysis of cyclophosphamide with genetic effects in patients undergoing hematopoietic stem cell transplantation.

PURPOSE: To build a population pharmacokinetic (PK) model of cyclophosphamide (CY) and its metabolite, 4-hydroxycyclophosphamide (HCY), in patients undergoing allogeneic haematopoietic stem cell transplantation (HSCT) and to identify covariates, including genetic polymorphisms, which affect CY and HCY PK parameters. METHOD: The study cohort comprised 21 patients undergoing HSCT who received CY intravenously between 2009 and 2011. Clinical characteristics and CY and HCY concentration data were collected for all patients, and ABCB1, ABCC2, GSTA1, GSTM1, GSTP1, GSTT1, CYP2B6, CYP2C19, and CYP3A5 genotyping was performed. A hypothetical enzyme compartment was conducted using the NONMEM program. RESULTS: A population PK analysis showed that the ABCC2 1249 genotype and aspartate aminotransferase levels significantly affected non-induced clearance (CL UI) and induced clearance (CL I) of CY, respectively. The final estimate of the mean CL UI and CL I of CY was 15.5 and 0.683 L/h, respectively, and the mean volume of distribution (V 1) of CY was 88.0 L. The inter-individual variability for CL UI, CL I, and V 1 of CY was 52.8, 200, and 18.0 %, respectively. Additionally, the CL UI of CY was significantly decreased to approximately 51 % in patients with the 1249 GA heterozygous genotype compared to those with the 1249 GG wild-type genotype (p < 0.05). There were only three heterozygous GA variants of ABCC2 1249 in the study patients. CONCLUSIONS: The population PK model developed in this study implies an influence of genetic factors on the clearance of CY. Clearance was moderately reduced in patients with the ABCC2 1249GA heterozygous genotype.

Electrocatalytic Properties of Co3O4 Prepared on Carbon Fibers by Thermal Metal-Organic Deposition for the Oxygen Evolution Reaction in Alkaline Water Electrolysis.

Cobalt oxide (Co3O4) serves as a promising electrocatalyst for oxygen evolution reactions (OER) in water-electrolytic hydrogen production. For more practical applications, advances in dry-deposition processes for the high-throughput fabrication of such Co3O4 electrocatalysts are needed. In this work, a thermal metal-organic deposition (MOD) technique is developed to form Co3O4 deposits on microscale-diameter carbon fibers constituting a carbon fiber paper (CFP) substrate for high-efficiency OER electrocatalyst applications. The Co3O4 electrocatalysts are deposited while uniformly covering the surface of individual carbon fibers in the reaction temperature range from 400 to 800 °C under an ambient Ar atmosphere. It is found that the microstructure of deposits is dependent on the reaction temperature. The Co3O4 electrocatalysts prepared at 500 °C and over exhibit values of 355-384 mV in overpotential (η10) required to reach a current density of 10 mA cm-2 and 70-79 mV dec-1 in Tafel slope, measured in 1 M KOH aqueous solution. As a result, it is highlighted that the improved crystallinity of the Co3O4 electrocatalyst with the increased reaction temperature leads to an enhancement in electrode-level OER activity with the high electrochemically active surface area (ECSA), low charge transfer resistance (Rct), and low η10, due to the enhanced electrical conductivity. On the other hand, it is found that the inherent catalytic activity of the surface sites of the Co3O4, represented by the turnover frequency (TOF), decreases with reaction temperature due to the high-temperature sintering effect. This work provides the groundwork for the high-throughput fabrication and rational design of high-performance electrocatalysts.

Machine-learning based prediction models for assessing skin irritation and corrosion potential of liquid chemicals using physicochemical properties by XGBoost.

Skin irritation test is an essential part of the safety assessment of chemicals. Recently, computational models to predict the skin irritation draw attention as alternatives to animal testing. We developed prediction models on skin irritation/corrosion of liquid chemicals using machine learning algorithms, with 34 physicochemical descriptors calculated from the structure. The training and test dataset of 545 liquid chemicals with reliable in vivo skin hazard classifications based on UN Globally Harmonized System [category 1 (corrosive, Cat 1), 2 (irritant, Cat 2), 3 (mild irritant, Cat 3), and no category (nonirritant, NC)] were collected from public databases. After the curation of input data through removal and correlation analysis, every model was constructed to predict skin hazard classification for liquid chemicals with 22 physicochemical descriptors. Seven machine learning algorithms [Logistic regression, Naïve Bayes, k-nearest neighbor, Support vector machine, Random Forest, Extreme gradient boosting (XGB), and Neural net] were applied to ternary and binary classification of skin hazard. XGB model demonstrated the highest accuracy (0.73-0.81), sensitivity (0.71-0.92), and positive predictive value (0.65-0.81). The contribution of physicochemical descriptors to the classification was analyzed using Shapley Additive exPlanations plot to provide an insight into the skin irritation of chemicals. Supplementary Information: The online version contains supplementary material available at 10.1007/s43188-022-00168-8.

Effects of very low-carbohydrate ketogenic diets on lipid profiles in normal-weight (body mass index < 25 kg/m2) adults: a meta-analysis.

CONTEXT: Very low-carbohydrate diets or ketogenic diets (KDs) have garnered attention for weight loss in patients with overweight or obesity as well as for normal-weight adults, yet the adverse effects of KDs, such as dyslipidemia in normal-weight adults, have not been studied extensively. OBJECTIVE: This meta-analysis aimed to identify the effects of KDs on the lipid profile in normal-weight (body mass index [BMI] < 25 kg/m2) adults from randomized controlled trials. DATA SOURCES: PubMed and Embase databases were searched on November 21, 2021, using search terms representing KDs and lipid profiles. Two researchers independently screened articles according to PICOS inclusion criteria. DATA EXTRACTION: General study information, dietary data, and lipid profiles were extracted from eligible studies. Risk of bias was assessed using the Cochrane risk of bias 2 tool. DATA ANALYSIS: Fixed- or random-effects meta-analysis was performed to estimate the effects of KDs on total cholesterol (TC), high-density lipoprotein-cholesterol (HDL-C), low-density lipoprotein-cholesterol (LDL-C), triglycerides, apolipoprotein A (apoA), and apolipoprotein B (apoB), considering heterogeneity across studies. The certainty of evidence was assessed using the GRADE (Grading of Recommendations, Assessment, Development and Evaluation) approach. RESULTS: Three studies were selected for meta-analysis. A KD significantly increased TC by 1.47 mmol/L (95%CI, 0.72-2.22 mmol/L), LDL-C by 1.08 mmol/L (95%CI, 0.37-1.79 mmol/L), and apoB by 0.35 g/L (95%CI, 0.06-0.65 g/L). In addition, a KD significantly increased HDL-C by 0.35 mmol/L (95%CI, 0.27-0.42 mmol/L) and apoA by 0.34 g/L (95%CI, 0.28-0.41 g/L) compared with control diets. Triglyceride levels were not significantly different between KDs and control diets (P = 0.63). CONCLUSION: This study suggests unfavorable effects of KDs on TC and LDL-C in normal-weight adults. Although an increase in HDL-C can compensate for unfavorable changes in lipids, normal-weight individuals should consider the risk of hypercholesterolemia when consuming a KD. Results for triglycerides were inconsistent.

Comparison of glucagon-like peptide-1 receptor agonists and thiazolidinediones on treating nonalcoholic fatty liver disease: A network meta-analysis.

BACKGROUND/AIMS: Previous studies have revealed that glucagon-like peptide-1 receptor agonist (GLP-1RA) and thiazolidinedione (TZD) can improve nonalcoholic fatty liver disease (NAFLD) or nonalcoholic steatohepatitis (NASH). However, comprehensive research comparing the effects of GLP-1RA and TZD is limited. Thus, this study aimed to compare the effects of GLP-1RA and TZD on NAFLD or NASH through a network meta-analysis. METHODS: The PubMed, Embase, Web of Science, and Scopus databases were searched for randomized controlled trials (RCTs) that explored the efficacy of GLP-1RAs or TZDs in adult patients with NAFLD or NASH. The outcomes were liver biopsy-based (NAFLD activity score [NAS], fibrosis stage, and NASH resolution), noninvasive technique-based (liver fat content on proton magnetic resonance spectroscopy [1H-MRS] and controlled attenuation parameter [CAP]), biological, and anthropometric indicators. A random effects model was used to calculate the mean difference (MD) and relative risk with 95% confidence interval (CI). RESULTS: Twenty-five RCTs with 2,237 overweight or obese patients were included. GLP-1RA was significantly superior in reducing liver fat content evaluated using 1H-MRS (MD -2.42, 95% CI -3.84 to -1.00), body mass index (MD -1.60, 95% CI -2.41 to -0.80), and waist circumference (MD -4.89, 95% CI -8.17 to -1.61) than TZD. In liver biopsy-based evaluation and liver fat content assessment using CAP, GLP-1RA tended to surpass TZD, albeit not significantly. Sensitivity analysis showed consistent results with the main results. CONCLUSION: Compared with TZD, GLP-1RA had better effects on liver fat content, body mass index, and waist circumference in overweight or obese patients with NAFLD or NASH.

Clinical impacts of the concomitant use of L-asparaginase and total parenteral nutrition containing L-aspartic acid in patients with acute lymphoblastic leukemia.

Introduction: L-asparaginase (ASNase) depletes L-asparagine and causes the death of leukemic cells, making it a mainstay for the treatment of acute lymphoblastic leukemia (ALL). However, ASNase's activity can be inhibited by L-aspartic acid (Asp), which competes for the same substrate and reduces the drug's efficacy. While many commercially used total parenteral nutrition (TPN) products contain Asp, it is unclear how the concomitant use of TPNs containing Asp (Asp-TPN) affects ALL patients treated with ASNase. This propensity-matched retrospective cohort study evaluated the clinical effects of the interaction between ASNase and Asp-TPN. Methods: The study population included newly diagnosed adult Korean ALL patients who received VPDL induction therapy consisting of vincristine, prednisolone, daunorubicin, and Escherichia coli L-asparaginase between 2004 and 2021. Patients were divided into two groups based on their exposure to Asp-TPN: (1) Asp-TPN group and (2) control group. Data, including baseline characteristics, disease information, medication information, and laboratory data, were collected retrospectively. The primary outcomes for the effectiveness were overall and complete response rates. Relapse-free survival at six months and one year of treatment were also evaluated. The safety of both TPN and ASNase was evaluated by comparing liver function test levels between groups. A 1:1 propensity score matching analysis was conducted to minimize potential selection bias. Results: The analysis included a total of 112 ALL patients, and 34 of whom received Asp-TPN and ASNase concomitantly. After propensity score matching, 30 patients remained in each group. The concomitant use of Asp-TPN and ASNase did not affect the overall response rate (odds ratio [OR] 0.53; 95% confidence interval [CI] = 0.17-1.62) or the complete response rate (OR 0.86; 95% CI = 0.29-2.59) of the ASNase-including induction therapy. The concomitant use of Asp-TPN and ASNase also did not impact relapse-free survival (RFS) at six months and one year of treatment (OR 1.00; 95% CI = 0.36-2.78 and OR 1.24; 95% CI, 0.50-3.12, respectively). The peak levels of each liver function test (LFT) and the frequency of LFT elevations were evaluated during induction therapy and showed no difference between the two groups. Conclusion: There is no clear rationale for avoiding Asp-TPN in ASNase-treated patients.

Risk of type 2 diabetes mellitus in adult patients with atopic dermatitis.

AIMS: This study aimed to investigate the subsequent risk of type 2 diabetes mellitus (T2D) in adults newly diagnosed with atopic dermatitis (AD). METHODS: This propensity score-matching cohort study used data from the National Health Insurance Service-National Sample Cohort (NHIS-NSC) 2.0 database in South Korea from 2002 to 2015. The adjusted hazard ratios (HRs) with 95% confidence intervals (CIs) were estimated using a Cox proportional hazards model, for the new onset of T2D (ICD-10 code, E11) in AD patients compared to the matched controls. Subgroup and sensitivity analyses were also conducted. RESULTS: Each of the 36,692 individuals in the AD group and matched control group was included in the analysis. The risk of T2D in the AD group was significantly higher than that of the matched controls in the adjusted model (adjusted HR 1.44; 95% CI 1.27-1.63, P <.001). The results of subgroup analysis by sex, age, and body mass index were consistent with the results of the primary analysis. Sensitivity analyses using different T2D and/or AD definitions also showed consistent results. CONCLUSIONS: The significant risk of subsequent T2D in adult AD patients suggested the necessity for efforts to prevent T2D in AD patients.