Beyond the waves: Unraveling pandemic outcomes with genomic insights and immunity analysis - Evidence from 14 countries.

OBJECTIVE: Although the World Health Organization and many governments have recategorized COVID-19 as a generally mild to moderately severe disease, consecutive pandemic waves driven by immune escape variants have underscored the need for timely and accurate prediction of the next outbreak. Nevertheless, little attention has been paid to translating genomic data and infection- and vaccine-induced immunity into direct estimates. METHODS: We retrieved epidemiologic and genomic data shortly before pandemic waves across 14 developed countries from late 2021 to mid-2022 and examined associations between early-stage variant competition, infection- and vaccine-induced immunity, and the time intervals between wave peaks. We applied regression analysis and the generalized estimating equation method to construct an inferential model. RESULTS: Each per cent increase in the proportion of a new variant was associated with a 1.0% reduction in interpeak intervals on average. Curvilinear associations between vaccine-induced immunity and outcome variables were observed, suggesting that reaching a critical vaccine distribution rate may decrease the caseload of the upcoming wave. CONCLUSIONS: By leveraging readily accessible pre-outbreak genomic and epidemiologic data, our results not only substantiate the predictive potential of early variant fractions but also propose that immunity acquired through infection alone may not sufficiently mitigate transmission. Conversely, a rapid and widespread vaccination initiative appears to be correlated with a decrease in disease incidence.

Screening and identification of emodin as an EBV DNase inhibitor to prevent its biological functions.

BACKGROUND: The Epstein-Barr virus (EBV) is a prevalent oncovirus associated with a variety of human illnesses. BGLF5, an EBV DNase with alkaline nuclease (AN) activity, plays important roles in the viral life cycle and progression of human malignancies and has been suggested as a possible diagnostic marker and target for cancer therapy. Methods used conventionally for the detection of AN activity, radioactivity-based nuclease activity assay and DNA digestion detection by gel electrophoresis, are not suitable for screening AN inhibitors; the former approach is unsafe, and the latter is complicated. In the present study, a fluorescence-based nuclease activity assay was used to screen several natural compounds and identify an EBV DNase inhibitor. RESULTS: Fluorescence-based nuclease activity assays, in which the DNA substrate is labelled with PicoGreen dye, are cheaper, safer, and easier to perform. Herein, the results of the fluorescence-based nuclease activity assay were consistent with the results of the two conventional methods. In addition, the PicoGreen-labelling method was applied for the biochemical characterisation of viral nucleases. Using this approach, we explored EBV DNase inhibitors. After several rounds of screening, emodin, an anthraquinone derivative, was found to possess significant anti-EBV DNase activity. We verified the efficacy of emodin using the conventional DNA-cleavage assay. Furthermore, using comet assay and micronucleus formation detection, we confirmed that emodin can inhibit DNase-induced DNA damage and genomic instability. Additionally, emodin treatment inhibited EBV production. CONCLUSIONS: Using a PicoGreen-mediated nuclease activity assay, we successfully demonstrated that emodin has the potential to inhibit EBV DNase nuclease activity. Emodin also inhibits EBV DNase-related biological functions, suggesting that it is a potential inhibitor of EBV DNase.

Real-time forecasting of COVID-19 spread according to protective behavior and vaccination: autoregressive integrated moving average models.

BACKGROUND: Mathematical and statistical models are used to predict trends in epidemic spread and determine the effectiveness of control measures. Automatic regressive integrated moving average (ARIMA) models are used for time-series forecasting, but only few models of the 2019 coronavirus disease (COVID-19) pandemic have incorporated protective behaviors or vaccination, known to be effective for pandemic control. METHODS: To improve the accuracy of prediction, we applied newly developed ARIMA models with predictors (mask wearing, avoiding going out, and vaccination) to forecast weekly COVID-19 case growth rates in Canada, France, Italy, and Israel between January 2021 and March 2022. The open-source data was sourced from the YouGov survey and Our World in Data. Prediction performance was evaluated using the root mean square error (RMSE) and the corrected Akaike information criterion (AICc). RESULTS: A model with mask wearing and vaccination variables performed best for the pandemic period in which the Alpha and Delta viral variants were predominant (before November 2021). A model using only past case growth rates as autoregressive predictors performed best for the Omicron period (after December 2021). The models suggested that protective behaviors and vaccination are associated with the reduction of COVID-19 case growth rates, with booster vaccine coverage playing a particularly vital role during the Omicron period. For example, each unit increase in mask wearing and avoiding going out significantly reduced the case growth rate during the Alpha/Delta period in Canada (-0.81 and -0.54, respectively; both p < 0.05). In the Omicron period, each unit increase in the number of booster doses resulted in a significant reduction of the case growth rate in Canada (-0.03), Israel (-0.12), Italy (-0.02), and France (-0.03); all p < 0.05. CONCLUSIONS: The key findings of this study are incorporating behavior and vaccination as predictors led to accurate predictions and highlighted their significant role in controlling the pandemic. These models are easily interpretable and can be embedded in a "real-time" schedule with weekly data updates. They can support timely decision making about policies to control dynamically changing epidemics.

Association of the D-amino acid oxidase gene with methadone dose in heroin dependent patients under methadone maintenance treatment.

Methadone is a synthetic opioid used for the maintenance treatment (MMT) of heroin dependence. It primarily binds to the µ-opioid receptor (MOR; with its gene, namely OPRM1). Methadone is also an N-methyl-D-aspartate (NMDA) receptor antagonist. The role of NMDA receptor in the regulatory mechanisms of methadone dosage in heroin dependent patients is so far not clear. D-amino acid oxidase (DAO) is an important enzyme that indirectly activates the NMDA receptor through its effect on the D-serine level. To test the hypothesis that genetic polymorphisms in the DAO gene are associated with methadone treatment dose and responses, we selected four single nucleotide polymorphisms (SNPs) in DAO from the literature reports of the Taiwanese population. SNPs were genotyped in 344 MMT patients. In this study, we identified a functional SNP rs55944529 in the DAO gene that reveals a modest but significant association with the methadone dosage in the recessive model of analysis (P = 0.003) and plasma concentrations (P = 0.003) in MMT patients. However, it did not show association with plasma methadone concentration in multiple linear regression analysis. It is also associated with the methadone adverse reactions of dry mouth (P = 0.002), difficulty with urination (P = 0.0003) in the dominant model, and the withdrawal symptoms of yawning (P = 0.005) and gooseflesh skin (P = 0.004) in the recessive model. Our results suggest a role of the indirect regulatory mechanisms of the NMDA reporter, possibly via the DAO genetic variants, in the methadone dose and some adverse reactions in MMT patients.

Validation of clinical frailty scale in Chinese translation.

BACKGROUND: Identification of frailty is crucial to guide patient care for the elderly. The Clinical Frailty Scale (CFS) is a reliable, synthesis and clinical judgment-based tool. However, a validated Chinese version of CFS (CFS-C) is lacking. The aim of this study is to describe the translation process of CFS into traditional Chinese and to evaluate its reliability and validity in a geriatric study population in Taiwan. METHODS: This cross-sectional study recruited 221 geriatric outpatients aged 65 years or older at a medical center in Taipei, Taiwan. The Chinese version of CFS was produced following Brislin's translation model. Weighted kappa for agreement and Kendall's tau for correlation were used to assess inter-rater reliability (a subgroup of 52 outpatients) between geriatricians and one research assistant, and validity tests (221 outpatients) by comparing CFS-C with Fried frailty phenotype and Frailty Index based on Comprehensive Geriatric Assessment (FI-CGA). Correlation between CFS-C and other geriatric conditions were also assessed. RESULTS: The inter-rater reliability revealed moderate agreement (weighted kappa = 0.60) and strong correlation (Kendall's tau = 0.67). For criterion validity, CFS-C categorisation showed fair agreement (weighted kappa = 0.37) and significant correlation (Kendall's tau = 0.46) with Fried frailty phenotype, and higher agreement (weighted kappa = 0.51) and correlation (Kendall's tau = 0.63) with FI-CGA categorisation. CFS-C was significantly correlated with various geriatric assessments, including functional disability, physical performance, hand grip, comorbidity, cognition, depression, and nutrition status. No significant correlation was found between CFS-C and appendicular muscle mass. CONCLUSIONS: The CFS-C demonstrated acceptable validity and reliability in Chinese older adults in Taiwan. Development of CFS-C enhanced consistency and accuracy of frailty assessment, both in research and clinical practice.

Splice-Site Variants in the Gene Encoding GABA-A Receptor Delta Subunit Are Associated with Amphetamine Use in Patients under Methadone Maintenance Treatment.

Chronic opioid use disorder patients often also use other substances such as amphetamines. The gene-based analysis method was applied in the genomic database obtained from our previous study with 343 methadone maintenance treatment (MMT) patients. We found that the gene encoding gamma-aminobutyric acid type A receptors (GABA-A receptor) delta subunit isoforms (GABRD) was associated with amphetamine use in heroin dependent patients under MMT in Taiwan. A total of 15% of the 343 MMT patients tested positive for amphetamine in the urine toxicology test. Two genetic variants in the GABRD, rs2889475 and rs2376805, were found to be associated with the positive urine amphetamine test. They are located in the exon 1 of the splice variant and altered amino acid compositions (T126I, C/T, for rs2889475, and R252Q, G/A, for rs2376805). The CC genotype carriers of rs2889475 showed a four times higher risk of amphetamine use than those with TT genotype. The GG genotype carriers of rs2376805 showed a three times higher risk of amphetamine use than the AA genotype carriers. To our knowledge, this is the first report that demonstrated an association of the delta splice variant isoform in the GABA-A receptor with an increased risk of amphetamine use in MMT patients. Our results suggest that rs2889475 and rs2376805 may be indicators for the functional role and risk of amphetamine use in MMT patients.

Nonpolio Enterovirus Activity during the COVID-19 Pandemic, Taiwan, 2020.

In Taiwan, lower nonpolio enterovirus activity during the coronavirus disease pandemic in 2020 compared with 2014-2019 might be attributable to adherence to nonpharmaceutical interventions. The preventable fraction among unexposed persons indicated that 90% of nonpolio enterovirus activity might have been prevented during 2014-2019 by adopting the same measures enforced in 2020.

Genetic polymorphisms in the opioid receptor delta 1 (OPRD1) gene are associated with methadone dose in methadone maintenance treatment for heroin dependence.

Delta opioid receptor (DOR) is well known to be involved in heroin dependence. This study tested the hypothesis that single nucleotide polymorphisms (SNPs) in the opioid receptor delta 1 (OPRD1) gene coding region are associated with treatment responses in a methadone maintenance therapy (MMT) cohort in Taiwan. Three hundred forty-four MMT patients were recruited. Diastolic/systolic blood pressure, heart rate, methadone dosage, and plasma concentrations of methadone were recorded. Twenty-five SNPs located within the OPRD1 genetic region were selected and genotyped from the genomic DNA of all 344 participants. After pairwise tagger analyses, tagger SNP rs204047 showed a significant association with methadone dosage (P = 0.0019), and tagger SNPs rs204047 and rs797397 were significantly associated with plasma R, S-methadone concentrations (P < 0.0006) in patients tested negative in the urine morphine test, which indicated patients with a better response to MMT. The major genotype carriers showed a higher methadone dosage and higher plasma concentrations of R, S-methadone than the minor genotype carriers. The results indicated that OPRD1 genetic variants were associated with methadone dosage and methadone plasma concentration in MMT patients with a negative morphine test result.

Multicentre, phase II study of gemcitabine and S-1 in patients with advanced biliary tract cancer: TG1308 study.

BACKGROUND & AIMS: Gemcitabine plus cisplatin (GC) remains the standard, frontline therapy for advanced biliary tract cancer (ABTC). The JCOG1113 study suggested that gemcitabine plus S-1 (GS) had noninferior median overall survival and comparable incidence of significant neutropenia as compared to GC treatments. This study evaluates the efficacy and safety of a modified GS regimen. METHODS: The eligible patients with chemonaive, measurable ABTC received 800 mg/m2 of gemcitabine on day 1 and 80 mg/m2 /day of S-1 (80/100/120 mg for patients with body surface <1.25/ ≥1.25 and <1.5/ ≥1.5 m2 respectively). The primary endpoint was the 12-week disease control rate (12-week DCR: objective response and stable disease ≥ 12 weeks). Per the p0 = 40% and p1 = 60% (α/ß = 0.05/0.2) assumption, Simon's optimal two-stage design indicated 12-week DCR in ≥ 24 of 46 evaluable patients for significant activity. Tumour responses were assessed every 6 weeks. RESULTS: Fifty-one patients were enrolled and most of them had intrahepatic cholangiocarcinoma (64.7%), metastatic disease (84.3%) and disease-related symptoms (82.4%). On intention-to-treat analysis, 11 (21.6%) patients showed partial response, whereas 21 (41.2%) showed stable disease ≥ 12 weeks. The progression-free and overall survival were 5.4 months (95% confidence interval [CI]: 3.5-7.0), and 12.7 months (95% CI: 6.1-15.6) respectively. The study met its primary endpoint with a 12-week DCR of 69.6% in 46 evaluable patients. Grade 3/4 treatment-related adverse eventsoccurred in < 6% of patients of all individual items. The mean dose intensities of S-1 and gemcitabine were 87.1% and 92.5% respectively. CONCLUSIONS: Modified GS showed moderate efficacy with a favourable safety profile in ABTC patients, thus mandating further assessment. ClinicalTrials.gov number: NCT02425137.

Cost-effectiveness of preventing hepatitis B virus reactivation in patients with lymphoma and resolved HBV infection.

BACKGROUND/PURPOSE: Hepatitis B virus (HBV) reactivation may occur in >10% of patients with lymphoma and resolved HBV infection who undergo rituximab-containing chemotherapy. Preventive strategies may have marked impact on resource allocation in HBV endemic areas. This study aims to compare the cost-effectiveness between prophylactic antiviral therapy and HBV DNA monitoring for the prevention of HBV-related complications. METHODS: Data sources are studies of HBV-related events and survival for patients with lymphoma and resolved HBV infection published since 2006. Decision tree analysis was used to compare the incremental cost-effectiveness ratio (ICER) of preventing HBV-related death or liver decompensation for patients who undergo first-line rituximab-containing chemotherapy. Sensitivity analysis was performed to examine the impact of the preventive efficacy, the duration of prophylactic antiviral therapy, and the cost of different interventions. The direct medical cost was derived from the database of the NHI Administration, Taiwan. The time frame of our analysis was set to 3 years after the completion of chemotherapy. RESULTS: The median ICER of prophylactic antiviral therapy, according to current practice guidelines, ranged between USD 150,000 and 250,000 if we apply the guidelines generally. When a long-course (12 months after completion of chemotherapy according to clinical guidelines) prophylactic therapy was assumed, Option A was cheaper and more effective only in the anti-HBs-negative subgroup (median ICER US$149,932 vs. US$161,526, p = 0.013). CONCLUSION: Identification of anti-HBs-negative subgroups is critical to improve the cost-effectiveness of prophylactic antiviral therapy in lymphoma patients with resolved HBV infection.

Genetic inhibition of PKCε attenuates neurodegeneration after global cerebral ischemia in male mice.

Global cerebral ischemia that accompanies cardiac arrest is a major cause of morbidity and mortality. Protein Kinase C epsilon (PKCε) is a member of the novel PKC subfamily and plays a vital role in ischemic preconditioning. Pharmacological activation of PKCε before cerebral ischemia confers neuroprotection. The role of endogenous PKCε after cerebral ischemia remains elusive. Here we used male PKCε-null mice to assess the effects of PKCε deficiency on neurodegeneration after transient global cerebral ischemia (tGCI). We found that the cerebral vasculature, blood flow, and the expression of other PKC isozymes were not altered in the PKCε-null mice. Spatial learning and memory was impaired after tGCI, but the impairment was attenuated in male PKCε-null mice as compared to male wild-type controls. A significant reduction in Fluoro-Jade C labeling and mitochondrial release of cytochrome C in the hippocampus was found in male PKCε-null mice after tGCI. Male PKCε-null mice expressed increased levels of PKCδ in the mitochondria, which may prevent the translocation of PKCδ from the cytosol to the mitochondria after tGCI. Our results demonstrate the neuroprotective effects of PKCε deficiency on neurodegeneration after tGCI, and suggest that reduced mitochondrial translocation of PKCδ may contribute to the neuroprotective action in male PKCε-null mice.

Prediction of annual dengue incidence by hydro-climatic extremes for southern Taiwan.

Dengue is one of the most rapidly spreading mosquito-borne viral diseases in the world. An increase in the incidence of dengue is commonly thought to be a consequence of variability of weather conditions. Taiwan, which straddles the Tropic of Cancer, is an excellent place to study the relationship between weather conditions and dengue fever cases since the island forms an isolated geographic environment. Therefore, clarifying the association between extreme weather conditions and annual dengue incidence is one of important issues for epidemic early warning. In this paper, we develop a Poisson regression model with extreme weather parameters for prediction of annual dengue incidence. A leave-one-out method is used to evaluate the performance of predicting dengue incidence. Our results indicate that dengue transmission has a positive relationship with the minimum temperature predictors during the early summer while a negative relationship with all the maximum 24-h rainfall predictors during the early epidemic phase of dengue outbreaks. Our findings provide a better understanding of the relationships between extreme weather and annual trends in dengue cases in Taiwan and it could have important implications for dengue forecasts in surrounding areas with similar meteorological conditions.

Quantification of HBV core antibodies may help predict HBV reactivation in patients with lymphoma and resolved HBV infection.

BACKGROUND & AIMS: Absence or low anti-HBV surface antibody (anti-HBs) is associated with an increased risk of HBV reactivation in patients with lymphoma and resolved HBV infection receiving rituximab-containing chemotherapy. Quantification of anti-HBV core antibody (anti-HBc) is a new marker associated with the natural history and treatment response of chronic HBV infection. This study investigated whether baseline anti-HBc and anti-HBs levels may better predict HBV reactivation. METHODS: We prospectively measured the HBV DNA levels of patients with lymphoma and resolved HBV infection receiving rituximab-cyclophosphamide, hydroxydaunorubicin, vincristine, and prednisolone-based chemotherapy and started an antiviral therapy upon HBV reactivation, defined as a greater than 10-fold increase in HBV DNA compared with previous nadir levels. Anti-HBs and anti-HBc were quantified by a double-sandwich assay. Receiver-operating-characteristic-curve analysis was used to determine the optimal baseline anti-HBc/anti-HBs levels for predicting HBV reactivation. RESULTS: HBV reactivation occurred in 24 of the 197 patients enrolled, with an incidence of 11.6/100 person-years. For the 192 patients with enough serum samples for analysis, low anti-HBs (<56.48 mIU/ml) and high anti-HBc (≥6.41 IU/ml) at baseline were significantly associated with high risk of HBV reactivation (hazard ratio [HR] 8.48 and 4.52, respectively; p <0.01). The multivariate analysis indicated that (1) patients with both high anti-HBc and low anti-HBs at baseline (36 of 192 patients) had an HR of 17.29 for HBV reactivation (95% CI 3.92-76.30; p <0.001), and (2) HBV reactivation may be associated with inferior overall survival (HR 2.41; 95% CI 1.15-5.05; p = 0.02). CONCLUSIONS: Baseline anti-HBc/anti-HBs levels may predict HBV reactivation in these patients with lymphoma and help optimize prophylactic antiviral therapy for high-risk patients. LAY SUMMARY: In this study, we identified a subgroup of patients with lymphoma and resolved hepatitis B virus infection that had a high risk of hepatitis B virus reactivation after receiving rituximab-containing chemotherapy. These findings will help optimize a preventive strategy, especially in hepatitis B virus endemic regions with limited healthcare resources. Clinical trial number: NCT 00931229.

GRK5 Is Associated with the Regulation of Methadone Dosage in Heroin Dependence.

Background: There is no countable biomarker for opioid dependence treatment responses thus far. In this study, we recruited Taiwanese methadone maintenance treatment patients to search for genes involving the regulatory mechanisms of methadone dose by genome-wide association analyses. Methods: A total of 344 Taiwanese methadone maintenance treatment patients were included in a genome-wide association study. The involvement of GRK5 in opioid dependence was then further confirmed by gene expression study on lymphoblastoid cell lines derived from 3 independent age- and gender-matched groups: methadone maintenance treatment patients, medication-free former heroin abusers, and normal controls. Results: The results indicated that GRK5, the gene encoding an enzyme related to µ-opioid receptor desensitization, is associated with methadone dose by additive model of gene-based association analysis (P=6.76×10-5). We found that 6 of the 55 single nucleotide polymorphisms from the genome-wide genotype platform and 2 single nucleotide polymorphisms from the 29 additionally selected single nucleotide polymorphisms were significantly associated with methadone maintenance dose in both genotype and allele type (P ≤ .006), especially in patients who tested negative in the urine morphine test. The levels of GRK5 gene expression were similar between methadone maintenance treatment patients and medication-free former heroin abusers. However, the normal controls showed a significantly lower level of GRK5 gene expression than the other groups (P=.019). Conclusions: The results suggested an important role for GRK5 in the regulatory mechanisms of methadone dose and course of heroin dependence.

Assessing the consistency of the treatment effect under the discrete random effects model in multiregional clinical trials.

In recent years, developing pharmaceutical products via multiregional clinical trials (MRCTs) has become standard. Traditionally, an MRCT would assume that a treatment effect is uniform across regions. However, heterogeneity among regions may have impact upon the evaluation of a medicine's effect. In this study, we consider a random effects model using discrete distribution (DREM) to account for heterogeneous treatment effects across regions for the design and evaluation of MRCTs. We derive an power function for a treatment that is beneficial under DREM and illustrate determination of the overall sample size in an MRCT. We use the concept of consistency based on Method 2 of the Japanese Ministry of Health, Labour, and Welfare's guidance to evaluate the probability for treatment benefit and consistency under DREM. We further derive an optimal sample size allocation over regions to maximize the power for consistency. Moreover, we provide three algorithms for deriving sample size at the desired level of power for benefit and consistency. In practice, regional treatment effects are unknown. Thus, we provide some guidelines on the design of MRCTs with consistency when the regional treatment effect are assumed to fall into a specified interval. Numerical examples are given to illustrate applications of the proposed approach. Copyright © 2016 John Wiley & Sons, Ltd.

Chemotherapy-induced hepatitis B reactivation in lymphoma patients with resolved HBV infection: a prospective study.

UNLABELLED: Fatal hepatitis B virus (HBV) reactivation in lymphoma patients with "resolved" HBV infection (hepatitis B surface antigen [HBsAg] negative and hepatitis B core antibody [anti-HBc] positive) can occur, but the true incidence and severity remain unclear. From June 2009 to December 2011, 150 newly diagnosed lymphoma patients with resolved HBV infection who were to receive rituximab-CHOP (cyclophosphamide, doxorubicin, vincristine, prednisolone)-based chemotherapy were prospectively followed. HBV DNA was checked at baseline, at the start of each cycle of chemotherapy, and every 4 weeks for 1 year after completion of rituximab-CHOP chemotherapy. Patients with documented HBV reactivation were treated with entecavir at a dosage of 0.5 mg/day for 48 weeks. HBV reactivation was defined as a greater than 10-fold increase in HBV DNA, compared with previous nadir levels, and hepatitis flare was defined as a greater than 3-fold increase in alanine aminotransferase (ALT) that exceeded 100 IU/L. Incidence of HBV reactivation and HBV-related hepatitis flares was 10.4 and 6.4 per 100 person-year, respectively. Severe HBV-related hepatitis (ALT >10-fold of upper limit of normal) occurred in 4 patients, despite entecavir treatment. Patients with hepatitis flare exhibited significantly higher incidence of reappearance of HBsAg after HBV reactivation (100% vs. 28.5%; P=0.003). CONCLUSION: In lymphoma patients with resolved HBV infections, chemotherapy-induced HBV reactivation is not uncommon, but can be managed with regular monitoring of HBV DNA and prompt antiviral therapy. Serological breakthrough (i.e., reappearance of HBsAg) is the most important predictor of HBV-related hepatitis flare. (Hepatology 2014;59:2092-2100).

The association of genetic polymorphisms in the κ-opioid receptor 1 gene with body weight, alcohol use, and withdrawal symptoms in patients with methadone maintenance.

Methadone is a synthetic opioid that binds to the κ-opioid receptor with a low affinity. This study tested the hypotheses that the genetic polymorphisms in the κ-opioid receptor 1 (OPRK1) gene region are associated with methadone treatment responses in a Taiwan methadone maintenance treatment (MMT) cohort. Seventeen single nucleotide polymorphisms (SNPs) in OPRK1 were selected and genotyped on DNA of 366 MMT patients. Six SNPs from rs7843965 to rs1051660 (intron 2 to exon 2) were significantly associated with body weight (P < 0.007). A haplotype of 4 SNPs rs7832417-rs16918853-rs702764-rs7817710 (exon 4 to intron 3) was associated with bone or joint aches (P ≤ 0.004) and with the amount of alcohol use (standard drinks per day; global P < 0.0001). The haplotype rs10958350-rs7016778-rs12675595 was associated with gooseflesh skin (global P < 0.0001), yawning (global P = 0.0001), and restlessness (global P < 0.0001) withdrawal symptoms. The findings suggest that genetic polymorphisms in OPRK1 were associated with the body weight, alcohol use, and opioid withdrawal symptoms in MMT patients.

The Clinical Characteristics and Manifestation of Anxious Depression Among Patients With Major Depressive Disorders-Results From a Taiwan Multicenter Study.

OBJECTIVE: Anxious depression is a prevalent characteristic observed in Asian psychiatric patients diagnosed with major depressive disorder (MDD). This study aims to investigate the prevalence and clinical presentation of anxious depression in Taiwanese individuals diagnosed with MDD. METHODS: We recruited psychiatric outpatients aged over 18 who had been diagnosed with MDD through clinical interviews. This recruitment took place at five hospitals located in northern Taiwan. We gathered baseline clinical and demographic information from the participants. Anxious depression was identified using a threshold of an anxiety/somatization factor score ≥7 on the 21-item Hamilton Rating Scale for Depression (HAM-D). RESULTS: In our study of 399 patients (84.21% female), 64.16% met the criteria for anxious depression. They tended to be older, married, less educated, with more children, and an older age of onset. Anxious depression patients had higher HAM-D and Clinical Global Impression-Severity scale score, more panic disorder (without agoraphobia), and exhibited symptoms like agitation, irritability, concentration difficulties, psychological and somatic anxiety, somatic complaints, hypochondriasis, weight loss, and increased insight. Surprisingly, their suicide rates did not significantly differ from non-anxious depression patients. This highlights the importance of recognizing and addressing these unique characteristics. CONCLUSION: Our study findings unveiled that the prevalence of anxious depression among Taiwanese outpatients diagnosed with MDD was lower compared to inpatients but substantially higher than the reported rates in European countries and the United States. Furthermore, patients with anxious depression exhibited a greater occurrence of somatic symptoms.

Suppression of the alpha, delta, and omicron variants of SARS-Cov-2 in Taiwan.

BACKGROUND: Taiwan was a coronavirus disease 2019 (COVID-19) outlier, with an extraordinarily long transmission-free record: 253 days without locally transmitted infections while the rest of the world battled wave after wave of infection. The appearance of the alpha variant in May 2021, closely followed by the delta variant, disrupted this transmission-free streak. However, despite low vaccination coverage (<1%), outbreaks were well-controlled. METHODS: This study analyzed the time to border closure and conducted one-sample t test to compare between Taiwan and Non-Taiwan countries prior to vaccine introduction. The study also collected case data to observe the dynamics of omicron transmission. Time-varying reproduction number,Rt, was calculated and was used to reflect infection impact at specified time points and model trends of future incidence. RESULTS: The study analyzed and compare the time to border closure in Taiwan and non-Taiwan countries. The mean times to any border closure from the first domestic case within each country were -21 and 5.98 days, respectively (P < .0001). The Taiwanese government invested in quick and effective contact tracing with a precise quarantine strategy in lieu of a strict lockdown. Residents followed recommendations based on self-discipline and unity. The self-discipline in action is evidenced in Google mobility reports. The central and local governments worked together to enact non-pharmaceutical interventions (NPIs), including universal masking, social distancing, limited unnecessary gatherings, systematic contact tracing, and enhanced quarantine measures. The people cooperated actively with pandemic-prevention regulations, including vaccination and preventive NPIs. CONCLUSIONS: This article describes four key factors underlying Taiwan's success in controlling COVID-19 transmission: quick responses; effective control measures with new technologies and rolling knowledge updates; unity and cooperation among Taiwanese government agencies, private companies and organizations, and individual citizens; and Taiwanese self-discipline.

OPRM1 genetic polymorphisms are associated with the plasma nicotine metabolite cotinine concentration in methadone maintenance patients: a cross sectional study.

Majority of the heroin-dependent patients smoke cigarettes. Although it has been reported that the OPRM1 genetic polymorphism is associated with the brain mu-opioid receptor binding potential in cigarette smokers, there is no direct evidence showing the impact of plasma cotinine, a nicotine metabolite, on treatment responses to methadone maintenance treatment (MMT). In this study, we aimed to test the hypothesis that the genetic polymorphisms in the OPRM1 are associated with the methadone treatment responses and the severity of cigarette smoking directly measured by the plasma concentration of cotinine in a Taiwanese MMT cohort. Fifteen OPRM1 single-nucleotide polymorphisms (SNPs) were selected and genotyped on DNA samples of 366 MMT patients. Plasma concentrations of cotinine were measured by cotinine enzyme-linked immunosorbent assay. The plasma cotinine concentration had positive correlation with concentrations of methadone (P = 0.042) and its metabolite 2-ethylidene-1,5-dimethyl-3,3-diphenyl-pyrrolidine (P = 0.037). Methadone treatment non-responders, defined by a positive urine morphine test, had a higher plasma concentration of cotinine (P = 0.005), but a lower plasma concentration-to-dose ratio of both R- and S-methadone (P = 0.001 and 0.012, respectively) than the responders. OPRM1 genetic variants, rs1074287, rs6912029, rs1799971, rs12209447, rs510769, rs3798676, rs553202, rs7748401, rs495491, rs10457090, rs589046, rs3778152 and rs563649, were significantly associated with the plasma concentration of cotinine when using recessive model for genotypes (general linear model (GLM), P<0.038; false discovery rate (FDR)<0.035) and additive model for allele types (GLM, P<0.03; FDR<0.049) in association analyses. The G allele carriers of SNP rs1799971 (A118G) on exon 1 of OPRM1 gene had a lower plasma cotinine concentration than the A allele carriers (GLM, P = 0.029). OPRM1 genetic polymorphisms are associated with the plasma concentration of cotinine in a Taiwanese MMT cohort. Carriers with the major allele of SNP rs1799971 had a higher plasma cotinine concentration.