Extent to which weight loss contributes to improving metabolic dysfunction-associated and metabolic and alcohol related/associated steatotic liver disease: a study on Japanese participants undergoing health checkups.

Introduction: The incidence of steatotic liver disease has increased in recent years. Thus, steatotic liver disease is a major public health issue in Japan. This study investigated the association between weight reduction and the remission of metabolic dysfunction-associated steatotic liver disease (MASLD)/Metabolic and alcohol related/associated liver disease (MetALD) in Japanese individuals undergoing health checkups. Methods: This retrospective observational study included 8,707 Japanese patients with MASLD/MetALD who underwent health checkups from May 2015 to March 2023. The participants were monitored for its remission at their subsequent visit. MASLD was diagnosed on abdominal ultrasonography and based on the presence of at least one of five metabolic abnormalities. The impact of body mass index (BMI) reduction on MASLD/MetALD remission was assessed via logistic regression analysis and using receiver operating characteristic curves. Results: Logistic regression analysis revealed that weight loss was significantly associated with MASLD/MetALD remission. Other factors including exercise habits and reduced alcohol consumption were significant predictors of MASLD/MetALD remission in the overall cohort and in male patients. The optimal BMI reduction cutoff values for MASLD/MetALD remission were 0.9 kg/m2 and 4.0% decrease in the overall cohort, 0.85 kg/m2 and 3.9% decrease in males, and 1.2 kg/m2 and 4.5% decrease in females. In participants with a BMI of 23 kg/m2, the cutoff values were 0.75 kg/m2 and 2.7% BMI reduction. Discussion: Weight reduction plays an important role in both MASLD and MetALD remission among Japanese individuals. That is, targeting specific BMI reduction is effective. This underscores the importance of targeted weight management strategies in preventing and managing MASLD/MetALD in the Japanese population.

Rheophytic Osmunda lancea (Osmundaceae) exhibits large flexibility in the petiole.

The riparian zone, found alongside rivers and streams, is a unique habitat characterized by its vulnerability to sudden floods following intense rainfall. To cope with these challenging conditions, a specific group of plants with linear and lanceolate lamina have adapted to thrive in these environments. Despite their unique ability to withstand the forceful water flow, the specific adaptive characteristics of the petioles, which support the lamina remain unknown. Our morphological, anatomical, and mechanical analyses on the petioles of Osmunda lancea (Osmundaceae) along the river and an inland sister species of O. japonica revealed that the petioles of O. lancea had a larger cell volume in subepidermal cortex and were more flexible than those of O. japonica.

Comparative outcomes of hemodialysis patients facing pre-Omicron and Omicron COVID-19 epidemics.

INTRODUCTION: This study elucidates factors affecting the severity and mortality in pre-Omicron and Omicron strains of SARS-CoV-2 and vaccination impact. METHODS: This single-center retrospective observational study included 1598 hospitalized COVID-19 patients. Patients were grouped into "pre-Omicron" and "Omicron" periods. The endpoint was severe COVID-19 (oxygen saturation [SpO2 ] < 94%). Logistic regression examined associations between clinical factors, including hemodialysis (HD), and the endpoint. RESULTS: The HD patient mortality rate dropped from 16% pre-Omicron to 4% during the Omicron epidemic. HD was significantly associated with the study endpoint in both epidemics. Unvaccinated patients had a greater risk of reaching the study endpoint among patients receiving HD. CONCLUSION: These findings suggest that the Omicron variant, alongside vaccination and healthcare innovations, led to improved prognoses for HD patients with COVID-19. However, HD patients remain at a greater risk for severe COVID-19. Increased vaccination rates and optimized healthcare resources can improve this vulnerable population's prognoses.

Effect of strong wind on laminas and petioles of Farfugium japonicum (L.) Kitam. var. japonicum (Asteraceae).

Farfugium japonicum (L.) Kitam. var. japonicum grows mainly in the coastal areas of Japan. Meteorological recording data from natural habitats were used to investigate the factors associated with the laminas and petioles of radical leaves of F. japonicum var. japonicum to avoid or resist higher wind stress. Our morphological and mechanical results indicated that petiole length and petiole cross-sectional area had a weak correlation with wind speed and breaking strength, and the petiole second area moment of inertia did not differ significantly among populations. However, both lamina area and petiole length per petiole cross-sectional area decreased with increasing wind speed, indicating that F. japonicum var. japonicum resisted or avoided an increase in wind speed outdoors by reducing the lamina area and petiole length per petiole cross-sectional area without qualitative changes in their petioles. The results of this study indicated that densely distributed recording stations of the Automated Meteorological Data Acquisition System (AMeDAS) by the Japan Meteorological Agency can be used for environmental adaptation studies of plants in the field using nearby plant populations.

Behavioral and Electrophysiological Study on Eight Japanese Papilio Species with Five Hostplant Volatiles and Linalool.

An electroantennogram (EAG) technique compared the antennal olfactory responses by both sexes of eight Japanese Papilio species with known host plants in laboratory experiments. Papilio species were collected from Honshû and Kyûshû (Japanese islands). The behavioral responses to volatile leaf substances from Citrus deliciosa, Zanthoxylum ailanthoides, Phellodendron amurense, Orixa japonica, and Foeniculum vulgare were examined in laboratory experiments. Individual EAG reactions were recorded. The results were very similar to the empirical field observations. The electrophysiological results of both sexes showed that the volatile substances released from non-preferred plants mainly elicited more significant EAG responses than the volatile substances from preferred host plants. Moreover, we performed behavioral experiments using eight female butterflies and their responses to five host plant species. An association between host plant selection behavior and taxonomical classification exists within the Papilio genus. The EAG responses were small when exposed to the plants with high scores in the behavioral experiments. Host plant preference patterns seem to be related to the volatile substances within the host plants. The butterflies responded to Linalool in both the behavioral and electrophysiological experiments.

Control of Tongue Position in Patients with Obstructive Sleep Apnea: Concept and Protocol for a Randomized Controlled Crossover Trial.

We hypothesize that the control of tongue position using a newly developed tongue position retainer, where the tongue is held in a protruded position (i.e., intervention A) or in its resting position (i.e., intervention B), is effective for maintaining upper airway patency in obstructive sleep apnea (OSA) compared with no control of tongue position. This is a randomized, controlled, non-blinded, crossover, and two-armed trial (i.e., sequence AB/BA) in 26 male participants (i.e., sample size) who are scheduled to undergo a dental operation under intravenous sedation with OSA (10 ≤ respiratory event index < 30/h). Participants will be randomly allocated into either sequence by a permuted block method, stratified by body mass index. Under intravenous sedation, participants will undergo two interventions, separated by a washout period after receiving intervention A or intervention B using a tongue position retainer after baseline evaluation, before each intervention is provided. The primary outcome is the abnormal breathing index of apnea as determined by the frequency of apnea per hour. We expect that, compared with no control of tongue position, both intervention A and intervention B will improve the abnormal breathing events with superior effects achieved by the former, offering a therapeutic option for OSA.

Association between Diabetic Peripheral Neuropathy as Measured Using a Point-of-Care Sural Nerve Conduction Device and Urinary Albumin Excretion in Patients with Type 2 Diabetes.

BACKGROUND: It is not well known whether diabetic peripheral neuropathy diagnosed using a non-invasive point-of-care nerve conduction device called DPN-Check® is associated with diabetic nephropathy. Thus, we aimed to evaluate the association of diabetic peripheral neuropathy with urinary albumin excretion in patients with type 2 diabetes using DPN-Check®. METHODS: This retrospective observational study included 323 Japanese patients with type 2 diabetes. The urinary albumin-to-creatinine ratio in a spot urine sample was defined as urinary albumin excretion. Multiple linear regression analysis was used to determine the association of DPN-Check®-determined diabetic peripheral neuropathy with urinary albumin excretion. RESULTS: Patients with DPN-Check®-determined diabetic peripheral neuropathy had significantly higher urinary albumin excretion than those without, while there was no difference in urinary albumin excretion between patients with and without diabetic peripheral neuropathy determined by simplified diagnostic criteria. In the multivariate model, the DPN-Check® determined that diabetic peripheral neuropathy was significantly associated with urinary albumin excretion even after adjustment for covariates (standardized ß, 0.123; p = 0.012). CONCLUSIONS: Our study found a significant association between diabetic peripheral neuropathy diagnosed using DPN-Check® and urinary albumin excretion in patients with type 2 diabetes.

Serum chemokine CC-motif ligand 17 is a predictive marker of severe COVID-19 in haemodialysis patients: A retrospective observational study.

BACKGROUND: Maintenance haemodialysis (HD) patients are at higher risk for severe coronavirus disease 2019 (COVID-19). Because of a limited number of facilities that can provide inpatient treatment for COVID-19 and HD, it is important to identify HD patients who are at high risk for severe COVID-19. For mild to moderate COVID-19 patients, chemokine CC-motif ligand 17 (CCL17) was reported to be a predictive marker for severe COVID-19; however, the validity of CCL17 among HD patients is unknown. METHODS: This retrospective observational study enrolled 107 HD patients with mild or moderate COVID-19 at hospitalization (mean age 70.1 ± 15.1 years; 71.0% male). Receiver operating characteristic and logistic regression analyses were used to examine the predictive validity of indices for severe COVID-19. RESULTS: During hospitalization, 32 patients developed severe COVID-19. Serum CCL17 collected at admission exhibited a higher area under the curve value (0.818) compared with that of other indicators including lactate dehydrogenase and C-reactive protein for the prediction of severe COVID-19. The optimal cut-off value for CCL17 was 150.5 pg/mL. A multi-variate logistic analysis revealed that CCL17 (above 150.5 pg/mL) was significantly associated with severe COVID-19 (Odds ratio, 0.063; 95% Confidence interval [CI], 0.017-0.227; p < .001) even after adjustment for covariates. The addition of the CCL17 to a model consisting of vaccination status, albumin, blood urea nitrogen, C-reacting protein and lactate dehydrogenase significantly improved classification performance for severe COVID-19 using the net reclassification (1.16, 95% CI: 0.82-1.50, p < .001) and integrated discrimination (0.18, 95% CI: 0.09-0.26, p < .001) improvement. CONCLUSION: CCL17 levels in HD patients with mild or moderate COVID-19 predict risk of developing severe COVID-19.

Clinical significance of tumor markers in patients with type 2 diabetes: a retrospective observational study.

Aim: To cross-sectionally and longitudinally investigate the association between tumor markers (Cancer embryonic antigen (CEA) Carbohydrate antigen 19-9 (CA19-9)) and malignancies in type 2 diabetes patients without evidence of malignancy. Materials and Methods: The study included 707 patients admitted for the treatment of diabetes from 1 August 2010 to 1 September 2018. Serum CEA and CA19-9 levels were measured for screening of malignancies at admission. Abdominal ultrasonography, computed tomography, and endoscopy were performed for close examination. The percentage of patients diagnosed with malignancy was calculated, and among those without malignancy, the incidence of malignancies was examined after discharge. Results: A total of 26 patients (3.7%) were newly diagnosed with malignancy during hospitalization. The optimal cut-off value of CEA and CA19-9 by receiver operating characteristic analysis was 5.0 ng/mL and 75 U/mL, and their positive predictive values (PPV) were 8.7% and 22.5%, respectively. The addition of CA19-9 to age, smoking status, body mass index, and glycated hemoglobin significantly improved classification performance for malignancy using net reclassification improvement (0.682, 95% CI 0.256-1.107) and integrated discrimination improvement (0.150, 95% CI 0.007-0.294). Among 681 patients without malignancies during hospitalization, 30 patients (4.4%) developed malignancies during an average follow-up of 3.9 years. CA19-9 (hazard ratio: 1.005, 95% CI: 1.003-1.008) was associated with the development of malignancies. Conclusions: PPV of serum CEA and CA19-9 for detecting malignancy was high in type 2 diabetes patients with poor glycemic control. Measuring CA19-9 was found to be valuable to cross-sectionally and longitudinally detect malignancies. Supplementary Information: The online version contains supplementary material available at 10.1007/s13340-022-00594-x.

Reduced antibody response to SARS-CoV-2 in COVID-19 patients with newly diagnosed diabetes: a retrospective observational study.

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic has dramatically impacted global health, and patients with type 2 diabetes have been identified as a high-risk group for COVID-19 infection and the development of severe disease. In response, this study aimed to evaluate whether patients with type 2 diabetes infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) could develop antibody responses in the same manner as patients without diabetes, and whether there is a difference in antibody response to SARS-CoV-2 between patients with diabetes diagnosed prior to hospitalization, and those with newly diagnosed diabetes. METHODS: SARS-CoV-2-specific immunoglobulin G (IgG) levels were quantified using two iFlash 3000 Chemiluminescence Immunoassay analyzer kits (Shenzhen YHLO Biotech Co., Ltd.) to detect IgG antibodies specific for nucleocapsid protein (IgG-N), and specific for the S1 subunit of the spike protein (IgG-S1). In 124 hospitalized patients with COVID-19, 40 patients with type 2 diabetes were matched to 40 patients without diabetes using propensity score matching (PSM). RESULTS: There was no difference in IgG-N and IgG-S1 levels between the patients with diabetes and those without. Of patients with diabetes, 31 patients had known diabetes and nine patients had newly diagnosed diabetes. The median levels of IgG-N at 7-13 days in patients with newly diagnosed diabetes were significantly lower than those in patients with known diabetes (IgG-N; 10.9 vs. 31.0 AU/mL, p = 0.031, IgG-S1; 7.5 vs. 24.4 AU/mL, p = 0.023). CONCLUSIONS: Even after adjusting for covariates using PSM, COVID-19 patients with type 2 diabetes had comparable antibody responses to patients without diabetes. Patients with newly diagnosed diabetes had lower IgG-N and IgG-S1 production in the second week of the disease compared with those with previously known diabetes.

Utility of Indices Obtained during Medical Checkups for Predicting Fatty Liver Disease in Non-obese People.

Objective To predict fatty liver disease (FLD), including nonalcoholic FLD (NAFLD) and metabolic dysfunction-associated FLD (MAFLD), from blood tests and anthropometric measurements, the fatty liver index (FLI) and triglyceride glucose-body mass index (TyG-BMI) have been reported as promising indicators. We evaluated the predictive ability of several indices, including the waist circumference, BMI, FLI and TyG-BMI, that might predict FLD in non-obese individuals undergoing health checkups. Methods This retrospective observational study enrolled non-obese subjects who underwent abdominal ultrasonography between May 1, 2015, and June 30, 2022. Obesity was defined as a BMI <25 kg/m2. FLD was diagnosed by abdominal ultrasonography. Using a receiver operating characteristic analysis, we examined the predictive validity of indices for NAFLD and MAFLD by calculating the area under the curve (AUC). Results Of the 24,825 subjects (mean age 44.3±10.0 years old; 54% men) enrolled in this examination of the association of indices, including FLI and TyG-BMI, with NAFLD, NAFLD was diagnosed in 3,619 (27%) men and 733 (6%) women. In both men and women, the FLI and TyG-BMI had significantly higher AUC values for NAFLD prediction than the other indicators (FLI: 0.786 for men and 0.875 for women, TyG-BMI: 0.783 for men and 0.868 for women). In analyses of subjects with a BMI <23 kg/m2, the superiority of the FLI and TyG-BMI remained unchanged. The FLI and TyG-BMI also had significantly higher AUC values for MAFLD prediction than the other indicators. Conclusion The FLI and TyG-BMI had a particularly high predictive ability for NAFLD and MAFLD in non-obese subjects.

Long-term effects of primary aldosteronism treatment on patients with primary aldosteronism and chronic kidney disease.

OBJECTIVE: Primary aldosteronism (PA) is a major cause of secondary hypertension and is associated with chronic renal injury. The glomerular filtration rate (GFR) in PA rapidly decreases after the removal of glomerular hyperfiltration due to aldosterone excess by adrenalectomy (ADX) or mineralocorticoid receptor antagonist (MRA) treatment and is stable in the long term. However, the effects of these treatments on the long-term renal function of PA patients with chronic kidney disease (CKD) is not well understood. DESIGN AND PATIENTS: In this single-center, retrospective study, acute and chronic changes in the estimated GFR (eGFR) were examined in 107 patients with PA, including 49 patients with post-treatment CKD　defined as eGFR < 60 ml/min/1.73 m2 . RESULTS: The reduction in eGFR observed 1 month after ADX in the CKD group (N = 31) was -20.1 ± 8.2 ml/min/1.73 m2 . Multivariate analysis showed that pre-treatment eGFR and plasma aldosterone concentration were independent predictive factors of the acute reduction in eGFR after ADX. The reduction of eGFR observed 1 month after MRA administration in the post-treatment CKD group (N = 18) was -9.2 ± 5.9 ml/min/1.73 m2 . Multivariate analysis showed that the duration of hypertension and pre-treatment eGFR were independent predictive factors of the acute reduction in eGFR after ADX administration. In 20 patients with CKD (N = 12 ADX and N = 8 MRA) followed for more than 5 years post-treatment, there was no further significant decline in eGFR over a follow-up period of 7 (6, 8) years nor any difference between the two treatment modalities. CONCLUSIONS: Our study suggests that treatment of PA in stage 3 CKD is safe and useful in preventing renal injury.

USV-Observed Turbulent Heat Flux Induced by Late Spring Cold Dry Air Incursion over Sub-Mesoscale Warm Regions off Sanriku, Japan.

We performed oceanic and atmospheric observations in the region off the Sanriku coast, Japan, from May 11 to 5 July 2022, using a wave-propelled unmanned surface vehicle, a Wave Glider (WG). Despite the severe weather conditions of atmospheric low-pressure system crossings, we successfully measured wind, air temperature, humidity, and sea surface temperature over the course of 55 days to calculate the turbulent heat flux. The WG observed that the atmosphere became more humid due to the southerly wind along the northwestern rim of the North Pacific subtropical high. The warm Kuroshio water expanded to the southeast of Hokkaido as a result of the northward shedding of an anticyclonic mesoscale (~100 km) eddy, called a warm-core ring, from the Kuroshio Extension. The WG traversed smaller (sub-mesoscale) water regions that were warmer and saltier than the surrounding Kuroshio water. The observations indicate that cold, dry air masses advected by northerly winds following the passage of atmospheric low-pressure systems generate a substantial upward turbulent heat flux over sub-mesoscale warm water regions, contrasting to no heat flux in the surrounding Kuroshio water region.

Special Issue "Clinical Epidemiology of Diabetes and Its Complications".

The purpose of this Special Issue, "Clinical Epidemiology of Diabetes and Its Complications" is to bring more attention to diabetes and its complications and share the latest findings with the medical community [...].

A case of COVID-19 reinfection in a hemodialysis patient: the role of antibody in SARS-CoV-2 infection.

Hemodialysis patients are vulnerable to severe and lethal COVID-19, and their protective immunity against COVID-19 is not yet fully understood. Therefore, we report a case of COVID-19 reinfection in a hemodialysis patient 81 days after the first episode and discuss the role of antibodies in SARS-CoV-2 infection. A hemodialysis patient developed asymptomatic COVID-19 due to an outbreak in a hospital on October 29th, 2020. As he was hospitalized and did not develop any symptoms, he was discharged on November 9th. On January 18th, he presented with symptomatic COVID-19 due to close household contact. Then, he developed respiratory failure and was transferred to National Center for Global Health and Medicine if he would need intensive care. He recovered with oxygen inhalation, favipiravir, and steroid treatment, and was discharged on February 12th. To evaluate anti-SARS-CoV-2 antibodies during two hospital stays, we measured immunoglobulin (Ig) G specific for S1 subunit of Spike (S) protein of SARS-CoV-2 (IgG-S1) , IgG specific for the full-length S protein (anti-Spike IgG) and neutralizing antibodies. No seroconversion occurred 5 days after initial infection, the seroconversion of IgG-S1 was observed 10 days after the second infection. Similar to IgG-S1 antibody titer results, anti-Spike IgG and neutralizing antibodies increased from 12 days after the second infection. In conclusion, we experienced a case of COVID-19 reinfection in a hemodialysis patient 81 days after the first episode and showed the kinetics and role of antibodies in SARS-CoV-2 infection. Further studies are needed to understand SARS-CoV-2 reinfection risk in hemodialysis patients and its clinical significance.

Hemodialysis patients with coronavirus disease 2019: reduced antibody response.

BACKGROUND: Because patients on maintenance hemodialysis (HD) have an impaired immune response to pathogens, they are at higher risk of severe coronavirus disease 2019 (COVID-19). However, data on antibody production among HD patients with COVID-19 is scarce. Thus, we performed a retrospective cohort study evaluating severe acute respiratory syndrome coronavirus two antibody (SARS-CoV-2) production within 1 month after COVID-19 onset in hospitalized patients on HD. METHODS: SARS-CoV-2-specific immunoglobulin (Ig) G levels were quantified using an iFlash 3000 Chemiluminescence Immunoassay analyzer (Shenzhen YHLO Biotech Co., Ltd.) to detect IgG antibodies specific for the S1 subunit of the spike protein (IgG-S1). Propensity score matching was used to balance covariate distribution in HD and non-HD patients. From April 2020 to February 2021, antibody testing was performed on 161 hospitalized patients with symptomatic COVID-19. Of them, 34 HD patients were matched to 68 non-HD patients. RESULTS: After propensity score matching, the median levels of IgG-S1 in the HD patients at 7-13 days after symptom onset were significantly lower than in non-HD patients, especially in those with severe disease. Among all patients, those with severe disease produced lower levels of IgG-S1 at 7-13 days compared with non-severe patients. CONCLUSION: COVID-19 patients with severe disease, especially those undergoing HD, had lower IgG-S1 production in the second week of the disease. Thus, the increased risk of severe COVID-19 in HD patients may be, in part, due to a slow and reduced antibody response.

Serum iron concentration is candidate inflammatory marker for respiratory diseases in beef cows.

We hypothesized that the serum iron (Fe) concentration in cows with respiratory diseases is a satisfactory substitute for major inflammatory markers such as haptoglobin (HPT) and serum amyloid A (SAA). Twenty Japanese Black cows aged 279.6 ± 120.0 days were enrolled, and divided into respiratory diseases and control groups based on the presence of clinical findings of respiratory diseases. As a result, area under the receiver operating characteristic curves for plasma HPT, SAA and serum Fe concentrations for respiratory disease-associated systemic inflammation were excellent, at 1.00, 0.96 and 0.97, respectively. Therefore we confirmed that the serum Fe concentration is a satisfactory substitute for HPT and SAA in beef cows with respiratory diseases.

Importance of Intestinal Environment and Cellular Plasticity of Islets in the Development of Postpancreatectomy Diabetes.

OBJECTIVE: To elucidate the pathogenesis of postpancreatectomy diabetes mellitus (PPDM). RESEARCH DESIGN AND METHODS: Forty-eight patients without diabetes undergoing either pancreatoduodenectomy (PD) (n = 20) or distal pancreatectomy (DP) (n = 28) were included. A 75-g oral glucose tolerance test was performed every 6 months. Microbiome composition and short-chain fatty acids (SCFAs) in feces were examined before and 6 months after surgery. The association of histological characteristics of the resected pancreas with PPDM was examined. RESULTS: During follow-up (median 3.19 years), 2 of 20 PD patients and 16 of 28 DP patients developed PPDM. Proteobacteria relative abundance, plasma glucagon-like peptide 1 (GLP-1), and fecal butyrate levels increased only after PD. Postsurgical butyrate levels were correlated with postsurgical GLP-1 levels. With no significant difference in the volume of the resected pancreas between the surgical procedures, both ß-cell and α-cell areas in the resected pancreas were significantly higher in DP patients than in PD patients. In DP patients, the progressors to diabetes showed preexisting insulin resistance compared with nonprogressors, and both increased α- and ß-cell areas were predictors of PPDM. Furthermore, in DP patients, α-cell and ß-cell areas were associated with ALDH1A3 expression in islets. CONCLUSIONS: We postulate that a greater removal of ß-cells contributes to the development of PPDM after DP. Islet expansion along with preexisting insulin resistance is associated with high cellular plasticity, which may predict the development of PPDM after DP. In contrast, PD is associated with alterations of gut microbiome and increases in SCFA production and GLP-1 secretion, possibly protecting against PPDM development.

Machine learning for image-based detection of patients with obstructive sleep apnea: an exploratory study.

PURPOSE: In 2-dimensional lateral cephalometric radiographs, patients with severe obstructive sleep apnea (OSA) exhibit a more crowded oropharynx in comparison with non-OSA. We tested the hypothesis that machine learning, an application of artificial intelligence (AI), could be used to detect patients with severe OSA based on 2-dimensional images. METHODS: A deep convolutional neural network was developed (n = 1258; 90%) and tested (n = 131; 10%) using data from 1389 (100%) lateral cephalometric radiographs obtained from individuals diagnosed with severe OSA (n = 867; apnea hypopnea index > 30 events/h sleep) or non-OSA (n = 522; apnea hypopnea index < 5 events/h sleep) at a single center for sleep disorders. Three kinds of data sets were prepared by changing the area of interest using a single image: the original image without any modification (full image), an image containing a facial profile, upper airway, and craniofacial soft/hard tissues (main region), and an image containing part of the occipital region (head only). A radiologist also performed a conventional manual cephalometric analysis of the full image for comparison. RESULTS: The sensitivity/specificity was 0.87/0.82 for full image, 0.88/0.75 for main region, 0.71/0.63 for head only, and 0.54/0.80 for the manual analysis. The area under the receiver-operating characteristic curve was the highest for main region 0.92, for full image 0.89, for head only 0.70, and for manual cephalometric analysis 0.75. CONCLUSIONS: A deep convolutional neural network identified individuals with severe OSA with high accuracy. Future research on this concept using AI and images can be further encouraged when discussing triage of OSA.

Islet cell dedifferentiation is a pathologic mechanism of long-standing progression of type 2 diabetes.

Dedifferentiation has been implicated in ß cell dysfunction and loss in rodent diabetes. However, the pathophysiological significance in humans remains unclear. To elucidate this, we analyzed surgically resected pancreatic tissues of 26 Japanese subjects with diabetes and 11 nondiabetic subjects, who had been overweight during adulthood but had no family history of diabetes. The diabetic subjects were subclassified into 3 disease stage categories, early, advanced, and intermediate. Despite no numerical changes in endocrine cells immunoreactive for chromogranin A (ChgA), diabetic islets showed profound ß cell loss, with an increase in α cells without an increase in insulin and glucagon double-positive cells. The proportion of dedifferentiated cells that retain ChgA immunoreactivity without 4 major islet hormones was strikingly increased in diabetic islets and rose substantially during disease progression. The increased dedifferentiated cell ratio was inversely correlated with declining C-peptide index. Moreover, a subset of islet cells converted into exocrine-like cells during disease progression. These results indicate that islet remodeling with dedifferentiation is the underlying cause of ß cell failure during the course of diabetes progression in humans.