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1.
J Diabetes Investig ; 13(8): 1387-1395, 2022 Aug.
Article in English | MEDLINE | ID: mdl-35290718

ABSTRACT

AIMS/INTRODUCTION: To investigate factors influencing glycemic control in diabetes mellitus complicated by autoimmune pancreatitis. MATERIALS AND METHODS: This retrospective cohort study investigated 33 patients with diabetes mellitus complicated by autoimmune pancreatitis who had received steroid therapy at Toranomon Hospital between January 1, 2011, and December 31, 2020. The course of glycemic control at 12 months after starting steroids was classified into three groups: Improved, Unchanged, or Worsened. Factors affecting these groups were investigated. Furthermore, we created two scores: (1) time of diabetes mellitus onset and baseline body mass index; (2) time of diabetes mellitus onset and baseline C-peptide index. Diabetes mellitus occurring at the same time as autoimmune pancreatitis, body mass index ≥22 kg/m2 , and C-peptide index ≥1.1 were each worth 1 point. Scores were summed and totals of 0-2 were compared between groups. RESULTS: Ten patients were in the Improved group, 10 were in the Unchanged group, and 13 were in the Worsened group. The baseline body mass index and baseline C-peptide index were lower in the Worsened group than in the Improved group (P < 0.05 each). In addition, the scores were lower in the Worsened group than in the other groups (P < 0.05). CONCLUSIONS: Patients with a lower baseline body mass index and a decreased baseline C-peptide index may experience worse glycemic control on steroid therapy.


Subject(s)
Autoimmune Pancreatitis , Diabetes Mellitus, Type 2 , Diabetes Mellitus , Blood Glucose , C-Peptide , Diabetes Mellitus/drug therapy , Glycated Hemoglobin , Glycemic Control , Humans , Retrospective Studies , Steroids
2.
Clin Case Rep ; 9(1): 278-281, 2021 Jan.
Article in English | MEDLINE | ID: mdl-33489173

ABSTRACT

Octreotide may be useful in noninsulinoma pancreatogenous hypoglycemia syndrome with nesidioblastosis patients who was on hemodialysis. Continuous octreotide subcutaneous infusion can reduce side-effects and stabilize plasma glucose levels.

3.
Sleep Breath ; 25(1): 309-314, 2021 Mar.
Article in English | MEDLINE | ID: mdl-32562169

ABSTRACT

PURPOSE: Sleep-disordered breathing (SDB) is associated with hypertension, poor glycemic control and dyslipidemia. Usually, apnoea events tend to be more prominent during rapid eye movement (REM) sleep than non-REM (NREM) sleep. We examined which SDB parameters are associated with blood pressure (BP), HbA1c and lipid profile in patients with type 2 diabetes (T2D). METHODS: A total of 185 patients with T2D who underwent polysomnography were analysed. Exclusion criteria were: the presence of pulmonary diseases, central sleep apnoea, treated SDB, or REM sleep < 30 min. To predict BP, HbA1c, and lipid profiles, we performed multiple linear regression analyses adjusted for known risk factors. Subsequently, we performed multivariable logistic regression analyses. RESULTS: Patient characteristics (mean ± standard deviation/median) were as follows: age 58.0 ± 11.8 years, body mass index 26.0 kg/m2 (24.1-28.9 kg/m2 ), systolic BP 134 ± 19 mmHg, mean BP 98 ± 14 mmHg, HbA1c 7.4% (6.8-8.4%), triglyceride 143 mg/dL (97-195 mg/dL), non-high density lipoprotein (non-HDL) cholesterol 143 mg/dL (120-163 mg/dL), REM-apnoea-hypopnea index (AHI) 35.1/h (21.1-53.1/h). The analyses revealed that REM-AHI was independently associated with systolic and mean BP, whereas NREM-AHI was not. A statistically significant association was not observed between REM-AHI and HbA1c or lipid profile. CONCLUSION: In patients with T2D, REM-AHI was associated with systolic and mean BP. The alteration of BP, associated with SDB during REM sleep, may be an important pathophysiological link between SDB and cardiovascular diseases.


Subject(s)
Blood Pressure/physiology , Diabetes Mellitus, Type 2/blood , Metabolic Syndrome/blood , Sleep Apnea, Obstructive/physiopathology , Sleep, REM/physiology , Adult , Aged , Cross-Sectional Studies , Glycated Hemoglobin , Humans , Lipoproteins/blood , Male , Middle Aged , Polysomnography , Severity of Illness Index , Triglycerides/blood
4.
J Clin Sleep Med ; 17(3): 453-460, 2021 03 01.
Article in English | MEDLINE | ID: mdl-33108268

ABSTRACT

STUDY OBJECTIVES: Although recent studies suggest that obstructive sleep apnea during rapid eye movement (REM) is associated with different cardiometabolic and neurocognitive risks compared with non-REM (NREM) sleep, there is no information on whether obstructive sleep apnea during REM and/or NREM sleep is independently associated with diabetic kidney disease (DKD). METHODS: In this cross-sectional study, 303 patients with type 2 diabetes who were followed up at our diabetes outpatient clinic underwent all-night polysomnography. Logistic regression analysis was performed to determine the separate effects of obstructive sleep apnea during REM and/or NREM sleep (REM and/or NREM-apnea-hypopnea index [AHI]) and several other polysomnography parameters on DKD after adjustment for several known risk factors for DKD. RESULTS: The median (interquartile range) AHI, REM-AHI, and NREM-AHI of the patients (age 57.8 ± 11.8 years, male sex 86.8%, hypertension 64.3%, and DKD 35.2%) were 29.8 (18.0-45.4), 35.4 (21.1-53.3), and 29.1 (16.3-45.4) events/h, respectively. REM-AHI quartiles, but not NREM-AHI quartiles, correlated independently and significantly with DKD (P = .03 for linear trend, odds ratio (OR), and 95% confidence interval for Q2: 3.14 (1.10-8.98), Q3: 3.83 (1.26-11.60), Q4: 4.97 (1.60-15.46), compared with Q1). In addition, categorical AHI (P = .01, OR, and 95% confidence interval for ≥ 15 to < 30: 1.54 (0.64-3.71), ≥ 30: 3.08 (1.36-6.94) compared with < 15), quartiles of AHI (P = .01), quartiles of lowest arterial oxyhemoglobin saturation (P < .01), quartiles of percentage of time spent with arterial oxyhemoglobin saturation < 90 (P < .01), and quartiles of mean arterial oxyhemoglobin saturation were independently associated with DKD. CONCLUSIONS: Obstructive sleep apnea, especially during REM sleep, is a potential risk factor for DKD.


Subject(s)
Diabetes Mellitus, Type 2 , Diabetic Nephropathies , Sleep Apnea, Obstructive , Aged , Cross-Sectional Studies , Humans , Male , Middle Aged , Sleep, REM
5.
Diabetes Metab Syndr Obes ; 12: 2461-2477, 2019.
Article in English | MEDLINE | ID: mdl-31819572

ABSTRACT

Slowly progressive type 1 insulin-dependent diabetes mellitus (SPIDDM), sometimes referred to as latent autoimmune diabetes in adults (LADA), is a heterogeneous disease that is often confused with type 1 and type 2 diabetes. As a result, there were few diagnostic criteria for this disorder until 2012, when the Japan Diabetes Society established criteria that could be used in clinical practice. A primary question is whether pathologic markers for type 1 or type 2 diabetes are present in the pancreas of patients with SPIDDM, because the phenotype of SPIDDM is similar to both type 1 and type 2 diabetes. Recent studies clarified pathologic findings in the pancreas of patients with SPIDDM, which included T-cell-mediated insulitis, a marker of type 1 diabetes; pseudoatrophic islets (islets specifically devoid of beta cells), another hallmark of type 1 diabetes; and a lack of amylin (ie, islet amyloid polypeptide) deposition to the islet cells, a pathologic marker of type 2 diabetes. In terms of preventing the loss of beta-cell function in patients with SPIDDM, several studies have shown that some drugs, including dipeptidyl peptidase-4 inhibitors, are effective. There is an increased need for early diagnosis of SPIDDM to preserve beta-cell function. This review presents updated findings on the pathogenesis and immunologic findings of the affected pancreas, diagnostic markers, risk factors for progression of beta-cell dysfunction, epidemiology, clinical features, diagnostic strategies, prevention strategies, and clinical options for patients with SPIDDM.

6.
J Clin Endocrinol Metab ; 104(6): 2075-2082, 2019 06 01.
Article in English | MEDLINE | ID: mdl-30649360

ABSTRACT

CONTEXT: Recent studies based on home sleep apnea testing (HSAT) reported the potential association of sleep disordered breathing, such as obstructive sleep apnea (OSA), with diabetic retinopathy (DR). A few studies showed that the apnea-hypopnea index (AHI) during rapid eye movement (REM) sleep (REM-AHI) is associated with glycated hemoglobin and hypertension, two known risk factors for DR. However, there are no studies that have evaluated the association of REM-AHI with DR because previous studies were based on HSAT. OBJECTIVE: To determine the association of REM-AHI with DR. DESIGN, SETTING, AND PATIENTS: The study subjects were 131 patients with type 2 diabetes mellitus who underwent all-night polysomnography with ≥30 minutes of REM sleep and were free of heart failure or active lung disease and had not yet been treated for OSA. Logistic regression analysis was performed to determine the effect of REM-AHI on the prevalence of DR adjusted by several known risk factors for DR. RESULTS: Quartile of REM-AHI was independently associated with DR (P = 0.024) (Q2: OR, 3.887; 95% CI, 0.737 to 20.495; Q3: OR, 9.467; 95% CI, 1.883 to 47.588; Q4: OR, 12.898; 95% CI, 2.008 to 82.823 relative to Q1), whereas quartile of non-REM (NREM)-AHI was not (P = 0.119). Similarly, continuous REM-AHI (OR, 2.875; 95% CI, 1.224 to 6.752; P = 0.015) was independently associated with DR, whereas NREM-AHI was not (P = 0.107). In addition, AHI was independently associated with DR when controlling for several known risk factors for DR (P = 0.043). CONCLUSION: REM-AHI was independently associated with DR. REM-AHI could be a potential risk factor for DR.


Subject(s)
Diabetes Mellitus, Type 2/complications , Diabetic Retinopathy/etiology , Sleep Apnea Syndromes/complications , Sleep, REM/physiology , Adult , Aged , Cross-Sectional Studies , Diabetic Retinopathy/blood , Diabetic Retinopathy/epidemiology , Female , Humans , Male , Middle Aged , Polysomnography , Prevalence , Risk Factors , Sleep Apnea Syndromes/diagnosis , Sleep Apnea Syndromes/physiopathology
7.
J Clin Sleep Med ; 14(3): 401-407, 2018 03 15.
Article in English | MEDLINE | ID: mdl-29458692

ABSTRACT

STUDY OBJECTIVES: Sleep-disordered breathing (SDB) can induce hyperglycemia, hypertension, and oxidative stress, conditions that are known to cause kidney damage. Therefore, SDB may exacerbate albuminuria, which is an established marker of early-stage kidney damage in patients with type 2 diabetes mellitus (T2DM). The association between SDB and albuminuria in patients with T2DM was investigated in this study. METHODS: This cross-sectional study included 273 patients with T2DM who underwent portable sleep testing and measurement of urine albumin to creatinine ratio (UACR). The association between the severity of SDB and albuminuria was investigated. Patients were divided into three groups according to the respiratory event index (REI): the no or mild group (REI < 15 events/h), moderate (REI 15 to < 30 events/h), and severe (REI ≥ 30 events/h). Albuminuria was defined as UACR ≥ 3.4 mg/mmol creatinine. Logistic regression analysis for albuminuria included the categorical REI as the independent variable. RESULTS: The median (interquartile range) REI of all patients (age 57.9 ± 11.9 years, mean ± standard deviation, male sex 81.7%, body mass index 26.7 [24.2-29.5] kg/m2, estimated glomerular filtration rate 82 [65-97] mL/min/1.73 m2) was 13.0 (7.0-24.2) events/h. The REI, as a categorical variable, was significantly associated with albuminuria after adjustment for other risk factors for albuminuria; REI 15 to < 30 events/h: odds ratio (OR) 3.35, 95% confidence interval (95% CI), 1.68-6.67, P < .001; REI ≥ 30: OR 8.52, 95% CI, 3.52-20.63, P < .001). In addition, the natural logarithm-transformed REI of all patients also correlated significantly with albuminuria. CONCLUSIONS: The severity of SDB is associated with albuminuria in patients with T2DM.


Subject(s)
Albuminuria/etiology , Diabetes Mellitus, Type 2/complications , Sleep Apnea Syndromes/complications , Body Mass Index , Creatinine/urine , Cross-Sectional Studies , Diabetes Mellitus, Type 2/urine , Diabetic Nephropathies/etiology , Diabetic Nephropathies/urine , Female , Glomerular Filtration Rate , Humans , Male , Middle Aged , Severity of Illness Index , Sleep Apnea Syndromes/blood
8.
Rinsho Shinkeigaku ; 54(8): 643-7, 2014.
Article in Japanese | MEDLINE | ID: mdl-25142535

ABSTRACT

We report on the case of a 77-year-old male with genetically proven spinocerebellar ataxia type 31 (SCA31) who had dystonia. He was referred to our hospital for evaluation following a 6-year history of slowly progressive unsteadiness of his left leg during walking and dysarthria at the age of 62 years old. On the basis of his symptoms, we diagnosed him as spinocerebellar degeneration (SCD), and prescribed taltirelin hydrate. However, his symptoms continued to worsen. He required a cane for walking at the age of 63 years, and a wheelchair at the age of 66 years. He was admitted to our hospital following acute cerebral infarction at the age of 77 years. On examination at admission, right hemiparesis and cerebellar ataxia were detected. And left hallux moved involuntarily toward the top surface of the foot at rest, that is dystonia. The dystonia was not associated with cerebral infarction, because it had been several years with dystonia that he got cerebral infarction. Genetic analysis revealed that this patient harbored a heterozygous SCA31 mutation. Previously there have been no reports of SCA31 associated with dystonia. Our case report support clinical heterogeneity of SCA31, and highlight the importance of considering this type in patients with dystonia and ataxia. Patients with the combination of dystonia and ataxia and a family history of a neurodegenerative disorder should be tested for SCA31.


Subject(s)
Dystonia/etiology , Spinocerebellar Ataxias/complications , Spinocerebellar Ataxias/genetics , Aged , Brain/pathology , Diffusion Magnetic Resonance Imaging , Disease Progression , Electromyography , Endosomal Sorting Complexes Required for Transport/genetics , Functional Laterality/physiology , Guanine Nucleotide Exchange Factors/genetics , Humans , Male , Mutagenesis, Insertional , Nedd4 Ubiquitin Protein Ligases , Spectrin/genetics , Spinocerebellar Ataxias/diagnosis , Spinocerebellar Ataxias/pathology , Thymidine Kinase/genetics , Ubiquitin-Protein Ligases/genetics
9.
Toxicol Appl Pharmacol ; 210(1-2): 47-54, 2006 Jan 01.
Article in English | MEDLINE | ID: mdl-16039679

ABSTRACT

1,2-Naphthoquinone (1,2-NQ) has recently been identified as an environmental quinone in diesel exhaust particles (DEP) and atmospheric PM2.5. We have found that this quinone is capable of causing a concentration-dependent contraction of tracheal smooth muscle in guinea pigs with EC50 value of 18.7 microM. The contraction required extracellular calcium and was suppressed by L-type calcium channel blockers nifedipine and diltiazem. It was found that 1,2-NQ activated phospholipase A2 (PLA2)/lipoxygenase (LO)/vanilloid receptor (VR1) signaling. Additionally, 1,2-NQ was capable of transactivating protein tyrosine kinases (PTKs) such as epidermal growth factor receptor (EGFR) in guinea pig trachea, suggesting that phosphorylation of PTKs contributes to 1,2-NQ-induced tracheal contraction. Consistent with this notion, this action was blocked by the PTKs inhibitor genistein and the EGFR antagonist PD153035, indicating that contraction was, at least in part, attributable to PTKs phosphorylation that activates VR1, resulting in increased intracellular calcium content in the smooth muscle cells.


Subject(s)
Air Pollutants/toxicity , Muscle Contraction/drug effects , Naphthoquinones/toxicity , Protein-Tyrosine Kinases/metabolism , TRPV Cation Channels/metabolism , Trachea/drug effects , Animals , Calcium Channels, L-Type/metabolism , Dose-Response Relationship, Drug , Guinea Pigs , In Vitro Techniques , Lipoxygenase/metabolism , Male , Muscle, Smooth/drug effects , Muscle, Smooth/enzymology , Muscle, Smooth/metabolism , Phospholipases A/metabolism , Phospholipases A2 , Phosphorylation , Signal Transduction/drug effects , TRPV Cation Channels/antagonists & inhibitors , Trachea/enzymology , Trachea/metabolism
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