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Aims: This study aimed to clarify the real-world status of lipid management in outpatients with type 2 diabetes (T2DM) following the 2022 revision of the Japan Atherosclerosis Society Guidelines for Prevention of Atherosclerotic Cardiovascular Diseases. It also aimed to evaluate characteristics associated with the failure to achieve management targets. Materials and Methods: In this post-hoc analysis of a multicenter, cross-sectional study, we included Japanese outpatients with T2DM undergoing primary prevention of atherosclerotic cardiovascular diseases (ASCVD) who provided fasting blood samples. The frequency and determinants of achieving low-density lipoprotein cholesterol (LDL-C) and non-high-density lipoprotein cholesterol (non-HDL-C) targets were assessed. Results: Among 223 participants with a mean age of 67 and mean HbA1c of 7.1%, 61 had no history of peripheral arterial disease, microvascular complications, or smoking. Out of the 223 participants, 64.1% (95% CI: 57.6-70.1%) achieved the LDL-C target. In multivariate logistic regression analysis, being female (odds ratio [OR] 3.139, P = 0.0011), having diabetic nephropathy (OR 2.868, P = 0.0021), smoking (OR 2.292, P = 0.0281), and non-use of statins (OR 4.857, P < 0.0001) were independently associated with non-achievement. For non-HDL-C, 65.6% (95% CI: 58.1%-70.6%) of patients met the target. Having diabetic neuropathy (OR 2.428, P = 0.0054), smoking (OR 2.008, P = 0.0478), and non-use of statins (OR 2.277, P = 0.0112) were identified as factors associated with non-achievement. Conclusions: Low achievement rate of revised lipid management targets for ASCVD primary prevention in T2DM was unveiled. Assessing comorbidities, encouraging smoking cessation, and prioritizing statin use are considered.
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Since the first genome-wide association studies (GWASs), thousands of variant-trait associations have been discovered. However, comprehensively mapping the genetic determinant of complex traits through univariate testing can require prohibitive sample sizes. Multi-trait GWAS can circumvent this issue and improve statistical power by leveraging the joint genetic architecture of human phenotypes. Although many methodological hurdles of multi-trait testing have been solved, the strategy to select traits has been overlooked. In this study, we conducted multi-trait GWAS on approximately 20,000 combinations of 72 traits using an omnibus test as implemented in the Joint Analysis of Summary Statistics. We assessed which genetic features of the sets of traits analyzed were associated with an increased detection of variants compared with univariate screening. Several features of the set of traits, including the heritability, the number of traits, and the genetic correlation, drive the multi-trait test gain. Using these features jointly in predictive models captures a large fraction of the power gain of the multi-trait test (Pearson's r between the observed and predicted gain equals 0.43, p < 1.6 × 10-60). Applying an alternative multi-trait approach (Multi-Trait Analysis of GWAS), we identified similar features of interest, but with an overall 70% lower number of new associations. Finally, selecting sets based on our data-driven models systematically outperformed the common strategy of selecting clinically similar traits. This work provides a unique picture of the determinant of multi-trait GWAS statistical power and outlines practical strategies for multi-trait testing.
Subject(s)
Genome-Wide Association Study , Phenotype , Polymorphism, Single Nucleotide , Genome-Wide Association Study/methods , Humans , Polymorphism, Single Nucleotide/genetics , Quantitative Trait Loci/genetics , Models, Genetic , Quantitative Trait, HeritableABSTRACT
Multivariate analysis is becoming central in studies investigating high-throughput molecular data, yet, some important features of these data are seldom explored. Here, we present MANOCCA (Multivariate Analysis of Conditional CovAriance), a powerful method to test for the effect of a predictor on the covariance matrix of a multivariate outcome. The proposed test is by construction orthogonal to tests based on the mean and variance and is able to capture effects that are missed by both approaches. We first compare the performances of MANOCCA with existing correlation-based methods and show that MANOCCA is the only test correctly calibrated in simulation mimicking omics data. We then investigate the impact of reducing the dimensionality of the data using principal component analysis when the sample size is smaller than the number of pairwise covariance terms analysed. We show that, in many realistic scenarios, the maximum power can be achieved with a limited number of components. Finally, we apply MANOCCA to 1000 healthy individuals from the Milieu Interieur cohort, to assess the effect of health, lifestyle and genetic factors on the covariance of two sets of phenotypes, blood biomarkers and flow cytometry-based immune phenotypes. Our analyses identify significant associations between multiple factors and the covariance of both omics data.
Subject(s)
Principal Component Analysis , Humans , Multivariate Analysis , Computational Biology/methods , Phenotype , Algorithms , Genomics/methods , Biomarkers/blood , Computer SimulationABSTRACT
CONTEXT: Whether continuation of dipeptidyl peptidase-4 inhibitors (DPP-4is) or switching to oral semaglutide is more beneficial for ß-cell function is unclear. OBJECTIVE: To assess the efficacy of switching from DPP-4is to oral semaglutide for ß-cell function compared with DPP-4i continuation. METHODS: Post hoc analysis of SWITCH-SEMA 2, a multicenter prospective randomized controlled trial on the switch to oral semaglutide vs DPP-4i continuation without dose adjustment for 24 weeks in subjects with type 2 diabetes treated with DPP-4is, was conducted. Changes in markers for glucose metabolism, including homeostatic model assessment (HOMA2) scores and disposition index (DI), were compared between the groups. RESULTS: A total of 146 subjects (semaglutide group, 69; DPP-4i group, 77) were analyzed. In the semaglutide group, glycemic control, liver enzyme deviations, and lipid profiles improved after 24 weeks. Regarding indices for ß-cell function, changes in HOMA2-ß as well as DI, reflecting the ability of ß-cells to compensate for insulin resistance, were significantly higher in the semaglutide group compared with the DPP-4i group (mean change, +10.4 vs +0.6 in HOMA2-ß [P = .001] and +0.09 vs 0.0 in DI [P < .001]). Improvement in DI in the semaglutide group was correlated significantly to changes in body mass index (BMI), HbA1c, and fatty liver index reflecting liver steatosis. Multiple linear regression analysis revealed that dose of semaglutide (≥â¯7â mg/day), reduction in fatty liver index, and metformin nonuse were independently associated with improvement of DI. CONCLUSION: Switching to oral semaglutide ameliorated ß-cell function compared with DPP-4is, presumably via tissue-to-tissue crosstalk between liver and ß-cells.
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AbstractMaintaining the stability of ecological communities is critical for conservation, yet we lack a clear understanding of what attributes of metacommunity structure control stability. Some theories suggest that greater dispersal promotes metacommunity stability by stabilizing local populations, while others suggest that dispersal synchronizes fluctuations across patches and leads to global instability. These effects of dispersal on stability may be mediated by metacommunity structure: the number of patches, the pattern of connections across patches, and levels of spatiotemporal correlation in the environment. Thus, we need theory to investigate metacommunity dynamics under different spatial structures and ecological scenarios. Here, we use simulations to investigate whether stability is primarily affected by connectivity, including dispersal rate and topology of connectivity network, or by mechanisms related to the number of patches. We find that in competitive metacommunities with environmental stochasticity, network topology has little effect on stability on the metacommunity scale even while it could change spatial diversity patterns. In contrast, the number of connected patches is the dominant factor promoting stability through averaging stochastic fluctuations across more patches, rather than due to more habitat heterogeneity per se. These results broaden our understanding of how metacommunity structure changes metacommunity stability, which is relevant for designing effective conservation strategies.
Subject(s)
Ecosystem , Models, Biological , Population Dynamics , Biota , Animal Distribution , Stochastic Processes , Environment , Computer SimulationABSTRACT
Objective Acute hemorrhagic rectal ulcer (AHRU) is characterized by sudden, painless, and massive bleeding from rectal ulcers. To date, few studies have analyzed the risk factors for AHRU rebleeding. In this study, we clarified the risk factors of rebleeding after initial hemostasis of AHRU through a multicenter study. Methods A total of 149 patients diagnosed with AHRU between January 2015 and May 2020 at 3 medical centers were enrolled. We retrospectively investigated the following factors: age, sex, body mass index (BMI), performance status (PS), Charlson comorbidity index (CCI), comorbidities, medications, laboratory examinations, endoscopic findings, view of the entire rectum on endoscopy, hemostasis method, blood transfusion history, shock, instructions for posture change after initial hemostasis, and clinical course. Results Rebleeding was observed in 35 (23%) of 149 patients. A multivariate analysis showed that significant factors for rebleeding were PS 4 [odds ratio (OR), 5.23; 95% confidence interval (CI)], 1.97-13.9; p=0.001], a blood transfusion history (OR, 3.66; 95% CI, 1.41-9.51; p=0.008), low an estimated glomerular filtration rate (eGFR) levels (OR, 0.98; 95% CI, 0.97-0.99; p=0.001), poor view of the whole rectum on endoscopy (OR, 0.33; 95% CI, 0.12-0.90; p=0.030), and use of monopolar hemostatic forceps (OR, 4.89; 95% CI, 1.37-17.4; p=0.014). Conclusion Factors associated with rebleeding of AHRU were a poor PS (PS4), blood transfusion, a low eGFR, poor view of the whole rectum on endoscopy, and the use of monopolar hemostatic forceps.
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OBJECTIVES: The prognostic factors in patients with malignancy-related ascites (MA) have been poorly investigated. This study aimed to evaluate both the prognostic impact of MA on terminally ill patients with cancer and the prognostic factors in those with MA. METHODS: This was a post hoc analysis of a multicentre, prospective cohort study. Patients with advanced cancer admitted to palliative care units at 23 institutions and aged≥18 years were enrolled between January and December 2017. Overall survival (OS) was compared according to MA. A multivariate analysis was conducted to explore prognostic factors in patients with MA. RESULTS: Of 1896 eligible patients, gastrointestinal and hepatobiliary pancreatic cancers accounted for 42.5%. 568 (30.0%) of the total had MA. Patients with MA had significantly shorter OS than those without MA (median, 14 vs 22 days, respectively; HR, 1.55; 95% CI, 1.39 to 1.72; p<0.01). A multivariate analysis showed that MA was a poor prognostic factor (HR, 1.30; 95% CI, 1.13 to 1.50; p<0.01) and that among patients with MA, significant poor prognostic factors were liver metastasis, moderately to severely reduced oral intake, delirium, oedema, gastric cancer, high serum creatinine, high serum C reactive protein, high serum total bilirubin, dyspnoea and fatigue, while significant good prognostic factors were female sex, good performance status, high serum albumin and colorectal cancer. CONCLUSIONS: MA had a negative impact on survival in terminally ill patients with cancer. A multivariate analysis revealed several prognostic factors in patients with terminal cancer and MA.
Subject(s)
Liver Neoplasms , Palliative Care , Humans , Female , Male , Prognosis , Prospective Studies , Ascites/etiology , Retrospective StudiesABSTRACT
AIM: To assess whether oral semaglutide provides better glycaemic control, compared with dipeptidyl peptidase-4 inhibitor (DPP-4i) continuation, in people with type 2 diabetes. MATERIALS AND METHODS: In this multicentre, open-label, prospective, randomized, parallel-group comparison study, participants receiving DPP-4is were either switched to oral semaglutide (3-14 mg/day) or continued on DPP-4is. The primary endpoint was the change in glycated haemoglobin (HbA1c) over 24 weeks. Secondary endpoints included changes in metabolic parameters and biomarkers, along with the occurrence of adverse events. Factors associated with HbA1c improvement were also explored. RESULTS: In total, 174 eligible participants were enrolled; 17 dropped out of the study. Consequently, 82 participants in the DPP-4i group and 75 participants in the semaglutide group completed the study and were included in the analysis. Improvement in HbA1c at week 24 was significantly greater when switching to semaglutide compared with DPP-4i continuation [-0.65 (95% confidence interval: -0.79, -0.51) vs. +0.05 (95% confidence interval: -0.07, 0.16) (p < .001)]. Body weight, lipid profiles and liver enzymes were significantly improved in the semaglutide group than in the DPP-4i continuation group. Multiple linear regression analysis revealed that baseline HbA1c and homeostasis model assessment 2-R were independently associated with HbA1c improvement after switching to semaglutide. Seven participants in the semaglutide group discontinued medication because of gastrointestinal symptoms. CONCLUSIONS: Although the potential for gastrointestinal symptoms should be carefully considered, switching from DPP-4is to oral semaglutide may be beneficial for glycaemic control and metabolic abnormalities in people with higher HbA1c and insulin resistance.
Subject(s)
Diabetes Mellitus, Type 2 , Dipeptidyl-Peptidase IV Inhibitors , Humans , Diabetes Mellitus, Type 2/complications , Diabetes Mellitus, Type 2/drug therapy , Diabetes Mellitus, Type 2/chemically induced , Dipeptidyl-Peptidase IV Inhibitors/adverse effects , Glycated Hemoglobin , Glycemic Control , Prospective Studies , Hypoglycemic Agents/adverse effects , Glucagon-Like Peptides/adverse effects , Dipeptidyl-Peptidases and Tripeptidyl-Peptidases/therapeutic useABSTRACT
The post-hoc study, derived from our previous prospective observational study, investigated the association between fasting serum proinsulin levels and hepatic steatosis in people with type 2 diabetes. The severity of hepatic steatosis was assessed using the fatty liver index. A total of 268 participants were divided into three groups: low (n = 110), moderate (n = 75), and high fatty liver index (n = 83). In both the crude and age/sex-adjusted analysis, logarithm-transformed proinsulin was significantly higher in the high fatty liver index group than in the low or moderate groups (all p < 0.01). The moderate fatty liver index group showed higher logarithm-transformed proinsulin than the low group (both p < 0.01). Positive associations between proinsulin and fatty liver index shown in this study would support an involvement of hepato-pancreatic crosstalk in the pathophysiology of type 2 diabetes.
Subject(s)
Diabetes Mellitus, Type 2 , Fatty Liver , Non-alcoholic Fatty Liver Disease , Humans , Proinsulin , Prospective Studies , Non-alcoholic Fatty Liver Disease/complicationsABSTRACT
Since the first Genome-Wide Association Studies (GWAS), thousands of variant-trait associations have been discovered. However, the sample size required to detect additional variants using standard univariate association screening is increasingly prohibitive. Multi-trait GWAS offers a relevant alternative: it can improve statistical power and lead to new insights about gene function and the joint genetic architecture of human phenotypes. Although many methodological hurdles of multi-trait testing have been discussed, the strategy to select trait, among overwhelming possibilities, has been overlooked. In this study, we conducted extensive multi-trait tests using JASS (Joint Analysis of Summary Statistics) and assessed which genetic features of the analysed sets were associated with an increased detection of variants as compared to univariate screening. Our analyses identified multiple factors associated with the gain in the association detection in multi-trait tests. Together, these factors of the analysed sets are predictive of the gain of the multi-trait test (Pearson's ρ equal to 0.43 between the observed and predicted gain, P < 1.6 × 10-60). Applying an alternative multi-trait approach (MTAG, multi-trait analysis of GWAS), we found that in most scenarios but particularly those with larger numbers of traits, JASS outperformed MTAG. Finally, we benchmark several strategies to select set of traits including the prevalent strategy of selecting clinically similar traits, which systematically underperformed selecting clinically heterogenous traits or selecting sets that issued from our data-driven models. This work provides a unique picture of the determinant of multi-trait GWAS statistical power and outline practical strategies for multi-trait testing.
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The 40-50 RNA modifications of the epitranscriptome regulate posttranscriptional gene expression. Here we show that flaviviruses hijack the host tRNA epitranscriptome to promote expression of pro-viral proteins, with tRNA-modifying ALKBH1 acting as a host restriction factor in dengue virus infection. Early in the infection of human Huh-7 cells, ALKBH1 and its tRNA products 5-formylcytidine (f5C) and 2'-O-methyl-5-formylcytidine (f5Cm) were reduced. ALKBH1 knockdown mimicked viral infection, but caused increased viral NS3 protein levels during infection, while ALKBH1 overexpression reduced NS3 levels and viral replication, and increased f5C and f5Cm. Viral NS5, but not host FTSJ1, increased f5Cm levels late in infection. Consistent with reports of impaired decoding of leucine UUA codon by f5Cm-modified tRNALeu(CAA), ALKBH1 knockdown induced translation of UUA-deficient transcripts, most having pro-viral functions. Our findings support a dynamic ALKBH1/f5Cm axis during dengue infection, with virally-induced remodeling of the proteome by tRNA reprogramming and codon-biased translation.
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The adsorption dynamics and mechanism of nitrogen molecules in 1-7 nm carbon nanotubes (CNTs) at 77 K were investigated by experiments and molecular dynamics simulations. The adsorbed nitrogen amount rapidly increased in 7 nm CNTs, while it gradually increased in 1 and 3 nm CNTs. The gradual increase in 3 nm CNTs was unexpected because of the presence of sufficient adsorption sites and the weak adsorption potential of nitrogen. The molecular dynamics simulations indicated that molecules were condensed in the entrance of nanopores after monolayer adsorption in 3 nm CNTs and monolayer and bilayer adsorption in 5 nm CNTs, called nanopore entrance filling. The proposed adsorption mechanism of nitrogen molecules in CNT nanopores is as follows: first, layer-by-layer adsorption occurs on monolayer sites, followed by preferential adsorption at the nanopore entrance. Consequently, preadsorbed molecules form a fluidic pore neck similar to an ink-bottle pore. Then, newly adsorbed molecules are condensed on the fluidic pore neck, and condensed molecules in the nanopore entrance finally move into the inner part of the nanopore. The proposed sequential adsorption mechanism via nanopore entrance filling without pore blocking starkly differs from micropore filling in micropores and layer-by-layer adsorption associated with capillary condensation in mesopores.
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OBJECTIVE: Children with cleft palate (CP) are at high risk of developing otitis media with effusion (OME) due to Eustachian tube (ET) dysfunction. Palatoplasty has been reported to decrease the frequency of middle ear disease and improve ET function, and although various techniques have been developed, there is no consensus on the differences in the impact of different techniques on the middle ear. The purpose of this study was to determine the differential effects of palatoplasty on middle ear function and hearing. METHODS: We performed a retrospective observational survey of pediatric patients who underwent palatoplasty for CP between June 2010 and October 2018 at Tohoku University Hospital. Cases were divided into three groups depending on the palatoplasty procedures performed: the push-back palatoplasty group, the two-flap palatoplasty group, and the Furlow double-opposing Z-plasty group. We examined the differences in clinical characteristics between patients who underwent each procedure. The primary outcome variable was tympanic membrane (TM) findings, and the secondary outcome was hearing test results. RESULTS: Children who underwent the two-flap palatoplasty had a higher tympanostomy tube (TT) insertion rate and a higher total number of TT insertions than those who underwent the Furlow double-opposing Z-plasty or the push-back palatoplasty. The TM retraction rate tended to be lower in the Furlow double-opposing Z-plasty group than in the push-back palatoplasty group or the two-flap palatoplasty group. The hearing test results at the last visit were not significantly different among the three groups. CONCLUSIONS: Children who underwent the two-flap palatoplasty had a higher rate of TT insertions, potentially increasing the risk of TM perforation. In contrast, the Furlow double-opposing Z-plasty group had a lower tendency for TM regression, possibly due to improved ET function and reduced incidence of OME. It is important to understand the advantages and disadvantages of each technique before selecting one suitable for the child's cleft and arch width. Additionally, it is important to conduct regular follow-up of TM findings and hearing test results even after palatoplasty.
Subject(s)
Cleft Palate , Ear Diseases , Otitis Media with Effusion , Child , Humans , Cleft Palate/surgery , Cleft Palate/complications , Ear Diseases/surgery , Hearing , Hearing Tests , Middle Ear Ventilation , Otitis Media with Effusion/diagnosis , Otitis Media with Effusion/surgery , Otitis Media with Effusion/etiology , Prognosis , Retrospective Studies , Treatment Outcome , Tympanic Membrane/surgeryABSTRACT
Although aryl hydrocarbon receptors (AhRs) are related to the metabolic pathway of xenobiotics, recent studies have revealed that this receptor is also associated with the life cycle of viruses and inflammatory reactions. For example, flutamide, used to treat prostate cancer, inhibits hepatitis C virus proliferation by acting as an AhR antagonist, and methylated-pelargonidin, an AhR agonist, suppresses pro-inflammatory cytokine production. To discover a novel class of AhR ligands, we screened 1000 compounds derived from fungal metabolites using a reporter assay and identified methylsulochrin as a partial agonist of the aryl hydrocarbon receptor. Methylsulochrin was found to inhibit the production of hepatitis C virus (HCV) in Huh-7.5.1 cells. Methylsulochrin also suppressed the production of interleukin-6 in RAW264.7 cells. Furthermore, a preliminary structure-activity relationship study using sulochrin derivatives was performed. Our findings suggest the use of methylsulochrin derivatives as anti-HCV compounds with anti-inflammatory activity.
Subject(s)
Antiviral Agents , Receptors, Aryl Hydrocarbon , Male , Humans , Receptors, Aryl Hydrocarbon/agonists , Receptors, Aryl Hydrocarbon/metabolism , Antiviral Agents/pharmacology , Flutamide/pharmacology , Anti-Inflammatory Agents/pharmacology , LigandsABSTRACT
As medical device development becomes increasingly global, the opportunities and potential advantages offered by international clinical trial and regulatory approval strategies are also growing. In particular, medical device clinical trials involving sites in both the United States and Japan and intended to support marketing in both countries may warrant particular consideration, given the similarities in their regulatory systems, patients and clinical practice patterns, and market sizes. Since 2003, the US-Japan Harmonization By Doing (HBD) initiative has been focused on identifying and addressing clinical and regulatory barriers to medical devices access in both countries via collaboration between governmental, academic, and industry stakeholders. Through the efforts of HBD participants, US-Japanese clinical trials have been conducted and the resulting data have supported regulatory approval for marketing in both countries. Based on these experiences, this paper outlines some of the key factors to consider when developing a global clinical trial involving US and Japanese participation. These considerations include the mechanisms for consultation with regulatory authorities on clinical trial strategies, the regulatory framework for clinical trial notification and approval, recruitment and conduct of clinical sites, and lessons learned from specific US-Japanese clinical trial experiences. The goal of this paper is to promote global access to promising medical technologies by assisting potential clinical trial sponsors in understanding when an international strategy may be appropriate and successful.
Subject(s)
Device Approval , Humans , United States , JapanABSTRACT
AIM: To evaluate the contribution of body fat mass and serum adiponectin concentration to glucose variability (GV) stability in people with type 2 diabetes with impaired versus preserved endogenous insulin secretion. MATERIALS AND METHODS: This multicentre prospective observational study included 193 people with type 2 diabetes who underwent ambulatory continuous glucose monitoring, abdominal computed tomography and fasting blood sampling. A fasting C-peptide (FCP) concentration >2 ng/mL was defined as preserved endogenous insulin secretion. The participants were divided into high (FCP > 2 ng/mL) and low FCP subgroups (FCP ≤ 2 ng/mL). Multivariate regression analysis was performed in each subgroup. RESULTS: In the high FCP subgroup, the coefficient of variation (CV) in GV was unrelated to abdominal fat area. In the low FCP subgroup, a high CV was significantly related to small abdominal visceral fat area (ß = -0.11, standard error 0.03; P < 0.05) and to small subcutaneous fat area (ß = -0.09, standard error 0.04; P < 0.05). No significant relationship between serum adiponectin concentration and continuous glucose monitoring-related variables was found. CONCLUSIONS: The contribution of body fat mass to GV depends on the endogenous insulin secretion residue. A small body fat area has independent adverse effects on GV in people with type 2 diabetes and impaired endogenous insulin secretion.
Subject(s)
Diabetes Mellitus, Type 2 , Humans , Diabetes Mellitus, Type 2/complications , Glucose , Insulin Secretion , Blood Glucose/analysis , Adiponectin , Blood Glucose Self-Monitoring , Adipose Tissue/metabolism , Insulin/metabolismABSTRACT
We evaluated whether texture and color enhancement imaging (TXI) using a high-definition ultrathin transnasal endoscope (UTE) improves the visibility of early gastric cancer (EGC) compared with white-light imaging (WLI). This study included 31 EGCs observed by TXI mode 2 using a high-definition UTE prior to endoscopic submucosal dissection. The first outcome was to compare the color differences based on Commission Internationale de l'Eclairage L*a*b* color space between EGCs and the surrounding mucosa by WLI and TXI using the UTE (objective appearance of EGC). The second outcome was to assess the visibility of EGCs by WLI and TXI using the UTE in an image evaluation test performed on 10 endoscopists (subjective appearance of EGC). Color differences between EGCs and non-neoplastic mucosa were significantly higher in TXI than in WLI in all EGCs (TXI: 16.0 ± 10.1 vs. WLI: 10.2 ± 5.5 [mean ± standard deviation], P < 0.001). Median visibility scores evaluated by 10 endoscopists using TXI were significantly higher than those evaluated using WLI (TXI: 4 [interquartile range, 4-4] vs. WLI: 4 [interquartile range, 3-4], P < 0.001). TXI using high-definition UTE improved both objective and subjective visibility of EGCs compared with WLI.
Subject(s)
Endoscopic Mucosal Resection , Stomach Neoplasms , Humans , Stomach Neoplasms/diagnostic imaging , Light , Endoscopes , Narrow Band Imaging/methods , Image Enhancement/methods , ColorABSTRACT
Introduction: Human health and wellbeing may depend on economic growth, the implication being that policymakers need to choose between population health and the health of ecosystems. Over two decades of low economic growth, Japan's life expectancy grew. Here we assess the temporal changes of subjective health and health inequality during the long-term low economic growth period. Methods: Eight triennial cross-sectional nationally representative surveys in Japan over the period of economic stagnation from 1992 to 2013 were used (n = 625,262). Health is defined positively as wellbeing, and negatively as poor health, based on self-rated health. We used Slope and Relative Indices of Inequality to model inequalities in self-rated health based on household income. Temporal changes in health and health inequalities over time were examined separately for children/adolescents, working-age adults, young-old and old-old. Results: At the end of the period of economic stagnation (2013), compared to the beginning (1992), the overall prevalence of wellbeing declined slightly in all age groups. However, poor health was stable or declined in the young-old and old-old, respectively, and increased only in working-age adults (Prevalence ratio: 1.14, 95% CI 1.08, 1.20, <0.001). Over time, inequality in wellbeing and poor self-rated health were observed in adults but less consistently for children, but the inequalities did not widen in any age group between the start and end of the stagnation period. Conclusions: Although this study was a case study of one country, Japan, and inference to other countries cannot be made with certainty, the findings provide evidence that low economic growth over two decades did not inevitably translate to unfavourable population health. Japanese health inequalities according to income were stable during the study period. Therefore, this study highlighted the possibility that for high-income countries, low economic growth may be compatible with good population health.
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INTRODUCTION: As the high mortality rate of gastric cancer (GC) is due to delayed diagnosis, early detection is vital for improved patient outcomes. Metabolic deregulation plays an important role in GC. Although various metabolite-level biomarkers for early detection have been assessed, there is still no unified early detection method. We conducted a plasma metabolome study to assess metabolites that may distinguish GC samples from non-GC samples. METHODS: Blood samples were collected from 72 GC patients and 29 control participants (non-GC group) at the Tokyo Medical University Hospital between March 2020 and November 2020. Hydrophilic metabolites were identified and quantified using liquid chromatography-time-of-flight mass spectrometry. Differences in metabolite concentrations between the GC and non-GC groups were evaluated using the Mann-Whitney test. The discrimination ability of each metabolite was evaluated by the area under the receiver operating characteristic curve. A radial basis function (RBF) kernel-based support vector machine (SVM) model was developed to assess the discrimination ability of multiple metabolites. The selection of variables used for the SVM utilized a step-wise regression method. RESULTS: Of the 96 quantified metabolites, 8 were significantly different between the GC and non-GC groups. Of these, N1-acetylspermine, succinate, and histidine were used in the RBF-SVM model to discriminate GC samples from non-GC samples. The area under the curve (AUC) of the RBF-SVM model was higher (0.915; 95% CI: 0.865-0.965, p < 0.0001), indicating good performance of the RBF-SVM model. The application of this RBF-SVM to the validation dataset resulted from the AUC of the RBF-SVM model was (0.885; 95% CI: 0.797-0.973, p < 0.0001), indicating the good performance of the RBF-SVM model. The sensitivity of the RBF-SVM model was better (69.0%) than those of the common tumor markers carcinoembryonic antigen (CEA) (10.5%) and carbohydrate antigen 19-9 (CA19-9) (2.86%). The RBF-SVM showed a low correlation with CEA and CA19-9, indicating its independence. CONCLUSION: We analyzed plasma metabolomics, and a combination of the quantified metabolites showed high sensitivity for the detection of GC. The independence of the RBF-SVM from tumor markers suggested that their complementary use would be helpful for GC screening.