Machine learning-based reproducible prediction of type 2 diabetes subtypes.

AIMS/HYPOTHESIS: Clustering-based subclassification of type 2 diabetes, which reflects pathophysiology and genetic predisposition, is a promising approach for providing personalised and effective therapeutic strategies. Ahlqvist's classification is currently the most vigorously validated method because of its superior ability to predict diabetes complications but it does not have strong consistency over time and requires HOMA2 indices, which are not routinely available in clinical practice and standard cohort studies. We developed a machine learning (ML) model to classify individuals with type 2 diabetes into Ahlqvist's subtypes consistently over time. METHODS: Cohort 1 dataset comprised 619 Japanese individuals with type 2 diabetes who were divided into training and test sets for ML models in a 7:3 ratio. Cohort 2 dataset, comprising 597 individuals with type 2 diabetes, was used for external validation. Participants were pre-labelled (T2Dkmeans) by unsupervised k-means clustering based on Ahlqvist's variables (age at diagnosis, BMI, HbA1c, HOMA2-B and HOMA2-IR) to four subtypes: severe insulin-deficient diabetes (SIDD), severe insulin-resistant diabetes (SIRD), mild obesity-related diabetes (MOD) and mild age-related diabetes (MARD). We adopted 15 variables for a multiclass classification random forest (RF) algorithm to predict type 2 diabetes subtypes (T2DRF15). The proximity matrix computed by RF was visualised using a uniform manifold approximation and projection. Finally, we used a putative subset with missing insulin-related variables to test the predictive performance of the validation cohort, consistency of subtypes over time and prediction ability of diabetes complications. RESULTS: T2DRF15 demonstrated a 94% accuracy for predicting T2Dkmeans type 2 diabetes subtypes (AUCs ≥0.99 and F1 score [an indicator calculated by harmonic mean from precision and recall] ≥0.9) and retained the predictive performance in the external validation cohort (86.3%). T2DRF15 showed an accuracy of 82.9% for detecting T2Dkmeans, also in a putative subset with missing insulin-related variables, when used with an imputation algorithm. In Kaplan-Meier analysis, the diabetes clusters of T2DRF15 demonstrated distinct accumulation risks of diabetic retinopathy in SIDD and that of chronic kidney disease in SIRD during a median observation period of 11.6 (4.5-18.3) years, similarly to the subtypes using T2Dkmeans. The predictive accuracy was improved after excluding individuals with low predictive probability, who were categorised as an 'undecidable' cluster. T2DRF15, after excluding undecidable individuals, showed higher consistency (100% for SIDD, 68.6% for SIRD, 94.4% for MOD and 97.9% for MARD) than T2Dkmeans. CONCLUSIONS/INTERPRETATION: The new ML model for predicting Ahlqvist's subtypes of type 2 diabetes has great potential for application in clinical practice and cohort studies because it can classify individuals with missing HOMA2 indices and predict glycaemic control, diabetic complications and treatment outcomes with long-term consistency by using readily available variables. Future studies are needed to assess whether our approach is applicable to research and/or clinical practice in multiethnic populations.

Impact of treatment cessation on incidence and progression of retinopathy in Japanese patients with type 2 diabetes mellitus: a retrospective cohort study.

Aims: This cohort study investigated the association between treatment cessation and incidence/progression of diabetic retinopathy (DR) in Japanese patients with type 2 diabetes mellitus (T2DM). Materials and methods: Data were extracted from electronic medical records at the University of the Ryukyu Hospital and the Tomishiro Central Hospital of Okinawa, Japan. We enrolled 417 diabetic patients without DR (N = 281) and with nonproliferative DR (N = 136) at the baseline. Treatment cessation was defined as failing to attend outpatient clinics for at least twelve months prior to the baseline. After a median follow-up of 7 years, we compared the incidence/progression rate of DR including nonproliferative and proliferative DR between patients with and without treatment cessation and calculated the odds ratio (OR) in the treatment cessation group using a logistic regression model. Results: The overall prevalence of treatment cessation was 13% in patients with T2DM. Characteristics of treatment cessation included relative youth (57 ± 11 years vs. 63 ± 12 years, P < 0.01). Treatment cessation was tightly associated with the incidence of DR (OR 4.20 [95% confidence interval [CI] 1.46-12.04, P < 0.01) and also incidence/progression of DR (OR 2.70 [1.28-5.69], P < 0.01), even after adjusting for age, sex, BMI, duration of T2DM, and HbA1c level. Conclusions: By considering major confounding factors, the present study demonstrates an independent association between treatment cessation and incidence of DR in patients with T2DM, highlighting treatment cessation as an independent risk for DR in T2DM. Supplementary Information: The online version contains supplementary material available at 10.1007/s13340-024-00724-7.

Young-onset type 2 diabetes mellitus enhances proteinuria, but not glomerular filtration rate decline: A Japanese cohort study.

AIMS/INTRODUCTION: The time course of chronic kidney disease in young-onset type 2 diabetes mellitus remains unclear. We compared the trajectories of proteinuria and estimated glomerular filtration rate (eGFR) decline between young-onset (aged ≤40 years) and late-onset (aged >40 years) type 2 diabetes mellitus in a Japanese multicenter cohort. MATERIALS AND METHODS: Participants without diabetic kidney disease were divided into two groups according to age at diagnosis: young- and late-onset. The primary endpoint was eGFR <60 mL/min/1.73 m2, proteinuria or both. Multivariable Cox proportional hazards were calculated to estimate incidence. RESULTS: Among 626 participants with type 2 diabetes mellitus, 78 (12.4%) had young-onset and 548 (87.6%) had late-onset diabetes. The incidence of eGFR <60 mL/min/1.73 m2 was lower (16.7% vs 33.5%, P = 0.003), but that of proteinuria was higher (46.2% vs 28.9%, P = 0.002) in the young-onset type 2 diabetes mellitus group. The Kaplan-Meyer curve showed that young-onset type 2 diabetes mellitus was associated with a decreased hazard ratio (HR) for eGFR <60 mL/min/1.73 m2 and an increased HR for proteinuria compared with late-onset type 2 diabetes mellitus. In the multivariate Cox analysis, young-onset type 2 diabetes mellitus increased the HR (95% confidence interval) of proteinuria (1.53, 95% confidence interval 1.03-2.26), but did not change the eGFR <60 mL/min/1.73 m2 HR. CONCLUSIONS: Young-onset type 2 diabetes mellitus has a lower HR of eGFR <60 mL/min/1.73 m2 and an increased HR of proteinuria compared with late-onset type 2 diabetes mellitus, indicating that young-onset type 2 diabetes mellitus has a different time course for the development of proteinuria and subsequent eGFR decline.

Impact of the transition from radioimmunoassay (RIA) to chemiluminescent enzyme immunoassay (CLEIA) for the measurement of plasma aldosterone concentration (PAC) on the diagnosis of primary aldosteronism (PA) via retrospective analyses in Okinawa, Japan.

In Japan, the traditional method for measuring plasma aldosterone concentration (PAC) was radioimmunoassay (RIA), which had several challenges, including poor traceability of certified reference materials and reduced detection sensitivity at low concentrations. To overcome these issues, a chemiluminescent enzyme immunoassay (CLEIA) for PAC measurement was introduced in April 2021 and the Japan Endocrine Society published new guidelines for primary aldosteronism (PA). This study aimed to evaluate the impact of the transition from RIA to CLEIA for PAC measurement on PA diagnosis. Data from 190 patients admitted to the Second Department of Internal Medicine, University of the Ryukyus Hospital, between April 2012 and March 2021 were analyzed. Patients who were diagnosed with PA underwent adrenal venous sampling. The PAC measured by RIA (PAC(RIA)) was converted to the estimated PAC measured by CLEIA (ePAC(CLEIA)) using a conversion formula. The present study evaluated the discordance rates in diagnoses based on screening (SC), captopril challenge test (CCT), saline infusion test (SIT), and diagnosis of PA between results judged by PAC(RIA) according to the previous guidelines and those judged by ePAC(CLEIA) according to the new guidelines. The results revealed discordant diagnosis rates of 6.4% for SC and 10.1% for CCT, with no discordance for SIT. The discordant diagnosis rate for PA was 3.7%. Our study reveals the challenges in establishing appropriate diagnostic criteria for PA using PAC(CLEIA) and highlights the demand for further research on provisionally positive categories.

Gut microbiota-based prediction for the transition from normal glucose tolerance (NGT) to impaired glucose tolerance (IGT) in a remote island cohort study.

AIM: The present cohort study explored whether specific gut microbiota (GM) profile would predict the development of impaired glucose tolerance (IGT) in individuals with normal glucose tolerance (NGT). METHODS: A total of 114 study subjects with NGT in Kumejima island, Japan participated in the present study and underwent 75 g oral glucose tolerance tests at baseline and one year later. We compared the profile of GM at baseline between individuals who consistently maintained NGT (NRN, n = 108) and those who transitioned from NGT to IGT (NTI, n = 6). RESULTS: Within-individual bacterial richness and evenness as well as inter-individual bacterial composition showed no significant differences between NRN and NTI. Of note, however, partial least squares discriminant analyses revealed distinct compositions of GM between groups, with no overlap in their 95 % confidence interval ellipses. Multi-factor analyses at the genus level demonstrated that the proportions of CF231, Corynebacterium, Succinivibrio, and Geobacillus were significantly elevated in NTI compared to NRN (p < 0.005, FDR < 0.1, respectively) after adjusting for age, sex, HbA1c level, and BMI. CONCLUSIONS: Our data suggest that increased proportion of specific GM is linked to the future deterioration of glucose tolerance, thereby serving as a promising predictive marker for type 2 diabetes mellitus.

Post-traumatic pituitary stalk transection syndrome (PSTS) expeditiously manifested after a fall from a height combined with acute traumatic spinal cord injury: a rare case report with review of literature.

Post-traumatic pituitary stalk transection syndrome (PSTS) is an extremely rare cause of combined pituitary hormone deficiency (CPHD), affecting approximately 9 per 100,000 cases of traumatic brain injury. In contrast, pituitary stalk interruption syndrome (PSIS) is also a rare cause of CPHD. Importantly, these conditions are often confused due to their similar names and resembling findings on magnetic resonance imaging (MRI). PSIS has been thought to be a prenatal developmental event resulting from a couple of genetic aberrations. In typical PSIS, anterior pituitary hormone deficiencies are restricted to growth hormone (GH) and gonadotropin during the pediatric age, gradually and generally progressing to panhypopituitarism in most cases. In contrast, global deficiencies of the anterior pituitary hormones in PSTS are temporally associated with trauma. To the best of our knowledge, no case reports of PSTS combined with acute traumatic spinal cord injury have been reported. A 34-year-old female was transferred to our hospital after jumping from the fourth building floor. She was diagnosed as an acute traumatic spinal cord injury and underwent the operation of elective posterior spinal fusion. On postoperative day 7, the blood tests revealed considerable hyperkalemia, hyponatremia and eosinophilia. Notably, menstruation stopped after falling from a height. Pituitary function tests revealed GH deficiency, hypogonadism, hypothyroidism and hypoadrenocorticism. MRI revealed loss of the pituitary stalk, whilst the hyperintense signal from distal axon of hypothalamus was still identified. Based on these findings, she was diagnosed as PSTS. Our case highlights endocrinological landscape of transection of the pituitary stalk by acute trauma.

Impact of coronavirus disease 2019 on medical practice in endocrine and metabolic diseases in Japan: a nationwide surveillance study conducted by the Japan Endocrine Society.

We investigated the impact of the Coronavirus disease 2019 (COVID-19) pandemic on the management of endocrine and metabolic disorders in Japan. We conducted a cross-sectional nationwide questionnaire survey targeting board-certified endocrinologists under the auspices of the Japan Endocrine Society. The questionnaire consisted of multiple-choice questions and open-ended responses. Out of approximately 2,700 specialists, 528 (19.5%) opted to participate, suggesting a high level of interest in COVID-19 management among endocrinologists. The study found that almost half of participants had encountered cases of endocrine and metabolic disorders following COVID-19 infection or vaccination. Conditions related to thyroid diseases, glucose metabolism disorders/diabetes, and hypothalamic-pituitary disorders were particularly prevalent. Diabetes and obesity were identified as having high rates of severe cases or fatalities due to COVID-19. The study also highlighted challenges in routine diagnosis and treatment, emphasizing the potential benefits of combining remote consultations with in-person visits to optimize the frequency of examinations and check-ups during infectious disease outbreak which disrupts access to healthcare providers. The insights obtained from this survey are expected to contribute to ensuring appropriate healthcare provision for patients with endocrine and metabolic disorders by using flexible consultation formats, particularly even in the conditions where medical access may be limited due to future outbreaks of emerging or re-emerging infectious diseases.

Role of perirenal adiposity in renal dysfunction among CKD individuals with or without diabetes: a Japanese cross-sectional study.

INTRODUCTION: It remains unclear whether increased perirenal fat (PRF) accumulation is equally related to renal involvement in patients with and without diabetes mellitus (DM). We evaluated the association between PRF volume (PRFV) and low glomerular filtration rate (GFR) and proteinuria in people with or without type 2 diabetes mellitus (T2DM). RESEARCH DESIGN AND METHODS: We performed a cross-sectional analysis of 473 individuals without T2DM (non-DM, n=202) and with T2DM (DM, n=271). PRFV (cm3), obtained from non-contrast CT, was indexed as PRF index (PRFV/body surface area, cm3/m2). Multivariate-adjusted models were used to determine the ORs of PRFV and PRFV index for detecting estimated GFR (eGFR) decrease of <60 mL/min/1.73 m2 proteinuria onset, or both. RESULTS: Although body mass index (BMI), visceral fat area, and waist circumference were comparable between the non-DM and DM groups, kidney volume, PRFV, and PRFV index were higher in individuals with T2DM than in those without T2DM. In the multivariate analysis, after adjusting for age, sex, BMI, hypertension, smoking history, and visceral fat area ≥100 cm2, the cut-off values of PRFV index were associated with an eGFR<60 in individuals with DM (OR 6.01, 95% CI 2.20 to 16.4, p<0.001) but not in those without DM. CONCLUSIONS: PRFV is associated with low eGFR in patients with T2DM but not in those without T2DM. This suggests that PRF accumulation is more closely related to the onset and progression of diabetic kidney disease (DKD) than non-DKD. Clarifying the mechanisms through which PRF influences DKD development could pave the way for novel prevention and treatment strategies.

Sex differences in the association between epicardial adipose tissue volume and left atrial volume index.

BACKGROUND: Sex disparities in the association between epicardial adipose tissue volume (EATV) and cardiovascular disease have been reported. The sex-dependent effects of EATV on left atrial (LA) size have not been elucidated. METHODS: Consecutive 247 subjects (median 65 [interquartile range 57, 75] years; 67% of men) who underwent multi-detector computed tomography without significant coronary artery disease or moderate to severe valvular disease were divided into two groups: patients with sinus rhythm (SR) or atrial fibrillation (AF). Sex differences in the association between the EATV index (EATVI) (mL/m2) and LA volume index (LAVI) in 63 SR (28 men and 35 women) and 184 AF (137 men and 47 women) patients were evaluated using univariate and multivariate regression analyses. RESULTS: In overall that includes both men and women, the relationship between EATVI and LAVI was not significantly correlated for patients with SR and AF. The relationship between EATVI and LAVI differed between men and women in both SR and AF groups. In SR patients, there was a positive relationship between EATVI and LAVI in men, but not in women. In contrast, in patients with AF, a negative relationship was found between EATVI and LAVI in women, whereas no association was found in men. CONCLUSIONS: We evaluated sex differences in the association between EATVI and LAVI in patients with either SR or AF, and found a positive relationship in men with SR and a negative relationship in women with AF. This is the first report to evaluate sex differences in the relationship between EATVI and LAVI, suggesting that EAT may play a role, at least in part, in sex differences in the etiology of AF.

Effect of dapagliflozin on 24-hour glycemic variables in Japanese patients with type 2 diabetes mellitus receiving basal insulin supported oral therapy (DBOT): a multicenter, randomized, open-label, parallel-group study.

INTRODUCTION: This study aimed to evaluate the impacts of dapagliflozin on 24-hour glucose variability and diabetes-related biochemical variables in Japanese patients with type 2 diabetes who had received basal insulin supported oral therapy (BOT). RESEARCH DESIGN AND METHODS: Changes in mean daily blood glucose level before and after 48-72 hours of add-on or no add-on of dapagliflozin (primary end point) and diabetes-related biochemical variables and major safety variables during the 12 weeks (secondary end point) were evaluated in the multicenter, randomized, two-arm, open-label, parallel-group comparison study. RESULTS: Among 36 participants, 18 were included in the no add-on group and 18 were included in the dapagliflozin add-on group. Age, gender, and body mass index were comparable between the groups. There were no changes in continuous glucose monitoring metrics in the no add-on group. In the dapagliflozin add-on group, mean glucose (183-156 mg/dL, p=0.001), maximum glucose (300-253, p<0.01), and SD glucose (57-45, p<0.05) decreased. Time in range increased (p<0.05), while time above the range decreased in the dapagliflozin add-on group but not in the no add-on group. After 12-week treatment with dapagliflozin add-on, 8-hydroxy-2'-deoxyguanosine (8OHdG), as well as hemoglobin A1c (HbA1c), decreased. CONCLUSIONS: This study showed that the mean daily blood glucose and other daily glucose profiles were amended after 48-72 hours of dapagliflozin add-on in Japanese patients with type 2 diabetes who received BOT. The diabetes-related biochemical variables such as HbA1c and urinary 8OHdG were also obtained during the 12 weeks of dapagliflozin add-on without major adverse events. A preferable 24-hour glucose profile in 'time in ranges' and an improvement in reactive oxygen species by dapagliflozin warrant us to evaluate these benefits in larger clinical studies. TRIAL REGISTRATION NUMBER: UMIN000019457.

A Comprehensive Study of the Immunophenotype and its Clinicopathologic Significance in Adult T-Cell Leukemia/Lymphoma.

Adult T-cell leukemia/lymphoma (ATLL) is a mature T-cell tumor caused by human T-lymphotropic virus type 1 (HTLV-1). The typical ATLL immunophenotypes are described in the 2017 World Health Organization Classification of Tumours of Haematopoietic and Lymphoid Tissues (positive: CD2, CD3, CD5, CD4, and CD25; negative: CD7, CD8, and cytotoxic markers; and partially positive: CD30, CCR4, and FOXP3). However, limited studies are available on the expression of these markers, and their mutual relationship remains unknown. Furthermore, the expression status of novel markers associated with T-cell lymphomas, including Th1 markers (T-bet and CXCR3), Th2 markers (GATA3 and CCR4), T follicular helper markers (BCL6, PD1, and ICOS), and T-cell receptor (TCR) markers, and their clinicopathologic significance is unclear. In this study, we performed >20 immunohistochemical stains in 117 ATLL cases to determine the comprehensive immunophenotypic profile of ATLL, which were compared on the basis of clinicopathologic factors, including morphologic variants (pleomorphic vs anaplastic), biopsy locations, treatments, Shimoyama classification-based clinical subtype, and overall survival. CD3+/CD4+/CD25+/CCR4+ was considered a typical immunophenotype of ATLL, but approximately 20% of cases did not conform to this pattern. Simultaneously, the following new findings were obtained: (1) most cases were negative for TCR-ß and TCR-δ (104 cases, 88.9%), indicating the usefulness of negative conversion of TCR expression to provide differentiation from other T-cell tumors; (2) the positivity of CD30 and CD15 and the negativity of FOXP3 and CD3 were significantly associated with anaplastic morphology; and (3) atypical cases, such as T follicular helper marker-positive (12 cases, 10.3%) and cytotoxic molecule-positive cases (3 cases, 2.6%), were identified. No single markers could predict the overall survival among patients with acute/lymphoma subtypes of ATLL. The results of this study illustrate the diversity of ATLL phenotypes. In T-cell tumors occurring in HTLV-1 carriers, the possibility of ATLL should not be eliminated even when the tumor exhibits an atypical phenotype, and the confirmation of HTLV-1 in the tissue is recommended.

A nutritional assessment tool, GNRI, predicts sarcopenia and its components in type 2 diabetes mellitus: A Japanese cross-sectional study.

Background: There are few reports evaluating the relationship between undernutrition and the risk of sarcopenia in type 2 diabetes mellitus (T2DM) patients. Objective: We investigated whether undernutritional status assessed by the geriatric nutritional risk index (GNRI) and controlling nutritional status (CONUT) were associated with the diagnosis of sarcopenia. Methods: This was a cross-sectional study of Japanese individuals with T2DM. Univariate or multivariate logistic regression analysis was performed to assess the association of albumin, GNRI, and CONUT with the diagnosis of sarcopenia. The optimal cut-off values were determined by the receiver operating characteristic (ROC) curve to diagnose sarcopenia. Results: In 479 individuals with T2DM, the median age was 71 years [IQR 62, 77], including 264 (55.1%) men. The median duration of diabetes was 17 [11, 23] years. The prevalence of sarcopenia was 41 (8.6%) in all, 21/264 (8.0%) in men, and 20/215 (9.3%) in women. AUCs were ordered from largest to smallest as follows: GNRI > albumin > CONUT. The cut-off values of GNRI were associated with a diagnosis of sarcopenia in multiple logistic regression analysis (odds ratio 9.91, 95% confidential interval 5.72-17.2), P < 0.001. The superiority of GNRI as compared to albumin and CONUT for detecting sarcopenia was also observed in the subclasses of men, women, body mass index (BMI) < 22, and BMI ≥ 22. Conclusions: Results showed that GNRI shows a superior diagnostic power in the diagnosis of sarcopenia. Additionally, its optimal cut-off points were useful overall or in the subclasses. Future large and prospective studies will be required to confirm the utility of the GNRI cut-off for undernutrition individuals at risk for sarcopenia.

Fatal acquired coagulation factor V deficiency after hepatectomy for advanced hepatocellular carcinoma as a possible immune checkpoint inhibitor-related adverse event: a case report.

BACKGROUND: Atezolizumab plus bevacizumab therapy was recently introduced as the first line for unresectable advanced hepatocellular carcinoma (HCC), but immune-related adverse events (IrAEs) due to atezolizumab are a great concern. Here, we report the case of a patient who developed fatal acquired coagulation factor deficiency after hepatectomy for HCC, treated with atezolizumab and bevacizumab before surgery. CASE PRESENTATION: A 70-year-old man received right trisegmentectomy of the liver with hepaticojejunostomy for advanced HCC with bile duct invasion, after atezolizumab and bevacizumab therapy. The patient suffered the sudden onset of severe multiple coagulation factor deficiency (II, V, VII, VIII, IX, X, XI and XII) immediately following reoperation for anastomotic leakage of hepaticojejunostomy, 7 days after hepatectomy. The coagulation factor deficiency did not reverse even with intensive treatment, and the patient died of uncontrollable bleeding 32 days after hepatectomy. An IrAE due to atezolizumab was suspected because the patient had developed the possible IrAE of enthesitis of the right gastrocnemius muscle before surgery, and specific inhibitors against factor V and anti-factor V autoantibodies were detected, leading to an ultimate diagnosis of autoimmune FV/5 deficiency (AiF5D). CONCLUSION: Severe acquired coagulopathy should be recognized as a possible life-threatening IrAE when using atezolizumab and bevacizumab for HCC.

Markers for obese and non-obese Type 2 diabetes identified using whole blood metabolomics.

Definitive differences in blood metabolite profiles between obese and non-obese Type 2 diabetes (T2D) have not been established. We performed an LC-MS-based non-targeted metabolomic analysis of whole blood samples collected from subjects classified into 4 types, based on the presence or absence of obesity and T2D. Of the 125 compounds identified, 20, comprising mainly nucleobases and glucose metabolites, showed significant increases or decreases in the T2D group. These included cytidine, UDP-glucuronate, UMP, 6-phosphogluconate, and pentose-phosphate. Among those 20 compounds, 11 enriched in red blood cells (RBCs) have rarely been studied in the context of diabetes, indicating that RBC metabolism is more extensively disrupted than previously known. Correlation analysis revealed that these T2D markers include 15 HbA1c-associated and 5 irrelevant compounds that may reflect diabetic conditions by a different mechanism than that of HbA1c. In the obese group, enhanced protein and fatty acid catabolism causes increases in 13 compounds, including methylated or acetylated amino acids and short-chain carnitines. Our study, which may be considered a pilot investigation, suggests that changes in blood metabolism due to obesity and diabetes are large, but essentially independent.

Clinically amyopathic dermatomyositis manifested after the allogeneic haematopoietic stem cell transplantation: Case presentation and literature review.

Clinically amyopathic dermatomyositis (CADM) lacks muscle symptoms, associated with rapidly progressive interstitial lung disease. Anti-melanoma differentiation-associated gene 5 (MDA-5) antibody has been identified as a disease-labelling autoantibody. We report two cases of CADM manifested after the allogeneic haematopoietic stem cell transplantation (allo-HSCT)-Case 1: a 56-year-old man with acute leukaemia received the allo-HSCT and Case 2: a 45-year-old female patient with lymphoma received the allo-HSCT. She received donor lymphocyte infusion because of a post-transplant relapse. After allo-HSCT or donor lymphocyte infusion, Gottron papules emerged, and both patients were diagnosed as CADM based on dermatological findings coupled with the positivity of anti-MDA-5 antibody, accompanied by interstitial shadows consistent with ILD on chest computed tomography. Case 2 was initially diagnosed as a kind of chronic graft versus host disease. Their symptoms were improved by the combination of immunosuppressive agents with a concomitant decrease in anti-MDA-5 antibody levels. For Case 2, rituximab was subsequently started for relapse of lymphoma, resulting in a substantial decrease in the level of anti-MDA-5 antibody and improvement in rash and ILD. Our cases raise a possibility that CADM emerges after the HSCT, highlighting the importance of early diagnosis to avoid fated progression into ILD.

Profile of gut microbiota and serum metabolites associated with metabolic syndrome in a remote island most afflicted by obesity in Japan.

Numerous studies have revealed distinct differences in the profiles of gut microbiota between non-obese and obese individuals. To date, however, little is known if any disparities in the community of gut microbiota exist between metabolically healthy obese (MHO) and metabolically unhealthy obese (MUO) subjects. We therefore aimed to comprehensively characterize the gut microbiota and circulating metabolites in serum from both MHO and MUO residing in the remote island, Kumejima, where the prevalence of obesity is one of the highest in Japan, and explored possible correlations between the gut microbiota profile and markers of metabolic syndrome. Results revealed that MUO showed significantly higher levels of genera such as g_Succinivibrio, g_Granulicatella, g_Brachyspira, g_Oribacterium and g_Atopobium in comparison to MHO. Moreover, abundance of g_Succinivibrio, g_Brachyspira and g_Atopobium were positively correlated with value of fasting insulin, HOMA-R, circulating triglycerides, diastolic blood pressure, BMI, body weight, waist circumference and HbA1c. In addition, MUO compared to MHO showed an imbalance of serum metabolites, with a significant elevation in 2-oxoisovaleric acid, pyruvic acid, 2-hydroxybutyric acid, and creatine. Our data highlight unmet needs in precision approaches for the treatment of obesity, targeting the gut microbiota profile and serum metabolites in a distinct population affected by obesity.

Analysis of spot urine biomarkers and association with body weight in Japanese elementary schoolchildren.

Childhood obesity is rapidly increasing worldwide and is largely the consequence of adoption of unhealthy diets excessive in calories and salt (NaCl) as well as devoid in pivotal micronutrients such as potassium (K) and magnesium (Mg). Education-based programs aiming to encourage healthy food knowledge and behaviors are crucial at a young age, and for this purpose, convenient ways to assess daily dietary intake are warranted. We therefore attempted to evaluate the dietary intake of Okinawan schoolchildren in Japan by analyzing a series of biomarkers in morning spot urine samples and explore whether these biomarkers correlate with body weight and a series of metabolic parameters. We enrolled 98 third-grade elementary schoolchildren in Okinawa, Japan. Morning spot urine samples were collected and analyzed using high-performance liquid chromatography (HPLC) to assess dietary intake. We found that estimated daily NaCl intake was higher in obese/overweight children as compared to healthy-weight children (p = 0.0001). There was also a significant positive correlation between body mass index (BMI) and NaCl intake (Spearman) (ρ = 0.45, p < 0.0001) and a negative correlation between BMI and Mg/Cr (ρ = -0.27, p = 0.01). Furthermore, Na/K ratio was higher in samples collected on Monday (weekend) as compared to samples collected on Thursday or Friday (weekday) (p < 0.0001). CONCLUSION: Via the use of morning spot urine analyses, our results show that NaCl intake was associated with obesity, and Mg excretion negatively correlated with BMI in Japanese schoolchildren, highlighting the potential role of these micronutrients in maintaining a healthy body weight. WHAT IS KNOWN: •Overweight and obesity are largely due to excessive consumption of calories and positively correlated with salt (NaCl) intake. •Spot urine methods are convenient for assessing the nutritional needs and targeting prevention programs in children. WHAT IS NEW: •Utilizing morning spot urine analyses, estimated NaCl intake is positively correlated and Mg/Cr negatively correlated with BMI in Okinawan schoolchildren. •As estimated via morning spot urine samples, a greater proportion of children likely exceeds the recommended NaCl intake on the weekend as compared to weekday.

A protective role of HTLV-1 gp46-specific neutralizing and antibody-dependent cellular cytotoxicity-inducing antibodies in progression to adult T-cell leukemia (ATL).

Human T-cell leukemia virus type-1 (HTLV-1) establishes a long-term persistent infection in humans and causes malignant T-cell leukemia, adult T-cell leukemia (ATL). HTLV-1-specific cytotoxic T lymphocytes have been suggested to play a major role in the immunosurveillance of HTLV-1-infected T cells. However, it remains unclear whether HTLV-1-specific functional antibodies are also involved in the host defense. To explore the role of antibodies in the course of HTLV-1 infection, we quantitated HTLV-1-specific neutralizing and antibody-dependent cellular cytotoxicity (ADCC)-inducing antibody levels in plasma from asymptomatic carriers (ACs) and ATL patients. The levels of neutralizing antibodies, as determined by a syncytium inhibition assay, were significantly lower in acute and chronic ATL patients than in ACs. The levels of ADCC-inducing activity were tested using an autologous pair of HTLV-1-producing cells and cultured natural killer (NK) cells, which showed that the ADCC-inducing activity of IgG at a concentration of 100 µg/ml was comparable between ACs and acute ATL patients. The anti-gp46 antibody IgG levels, determined by ELISA, correlated with those of the neutralizing and ADCC-inducing antibodies. In contrast, the proviral loads did not correlate with any of these antibody levels. NK cells and a monoclonal anti-gp46 antibody reduced the number of HTLV-1 Tax-expressing cells in cultured peripheral blood mononuclear cells from patients with aggressive ATL. These results suggest a protective role for HTLV-1 neutralizing and ADCC-inducing antibodies during the course of HTLV-1 infection.

Detecting Sarcopenia Risk by Diabetes Clustering: A Japanese Prospective Cohort Study.

CONTEXT: Previous studies have assessed the usefulness of data-driven clustering for predicting complications in patients with diabetes mellitus. However, whether the diabetes clustering is useful in predicting sarcopenia remains unclear. OBJECTIVE: To evaluate the predictive power of diabetes clustering for the incidence of sarcopenia in a prospective Japanese cohort. DESIGN: Three-year prospective cohort study. SETTING AND PATIENTS: We recruited Japanese patients with type 1 or type 2 diabetes mellitus (n = 659) between January 2018 and February 2020 from the Fukushima Diabetes, Endocrinology, and Metabolism cohort. INTERVENTIONS: Kaplan-Meier and Cox proportional hazards models were used to measure the predictive values of the conventional and clustering-based classification of diabetes mellitus for the onset of sarcopenia. Sarcopenia was diagnosed according to the Asian Working Group for Sarcopenia (AWGS) 2019 consensus update. MAIN OUTCOME MEASURES: Onset of sarcopenia. RESULTS: Cluster analysis of a Japanese population revealed 5 diabetes clusters: cluster 1 [severe autoimmune diabetes (SAID)], cluster 2 [severe insulin-deficient diabetes (SIDD)], cluster 3 (severe insulin-resistant diabetes, cluster 4 (mild obesity-related diabetes), and cluster 5 (mild age-related diabetes). At baseline, 38 (6.5%) patients met the AWGS sarcopenia criteria, and 55 had newly developed sarcopenia within 3 years. The SAID and SIDD clusters were at high risk of developing sarcopenia after correction for known risk factors. CONCLUSIONS: This study reveals that among the 5 diabetes clusters, the SAID and SIDD clusters are at a high risk for developing sarcopenia. Clustering-based stratification may be beneficial for predicting and preventing sarcopenia in patients with diabetes.