Objective: To investigate the association between lifestyle risk factors and comorbidity of chronic diseases among male elderly populations in Oroqen Autonomous Banner, Inner Mongolia Autonomous Region, so as to provide insights into improvements of lifestyles and prevention of comorbidity of chronic diseases among male elderly populations. Methods: Male residents at ages of 65 years and older that participated in community healthy examinations were sampled from 16 villages (communities) in Oroqen Autonomous Banner using a multi-stage cluster random sampling method from July to December, 2020. Participants' demographic data, lifestyle risk factors and disease history were collected using questionnaire surveys, and healthy examinations data were collected through the grassroots healthcare service information system for community health service centers, including waist circumference, blood pressure, fasting blood glucose and blood lipid. The correlation between lifestyle risk factors and comorbidity of chronic diseases were examined among males at ages of 65 years and older using a multivariable ordered logistic regression model. Results: Totally 761 male elderly populations were included, with a mean age of (73.61±6.74) years. There were 216 participants with central obesity (28.38%), 179 with smoking (23.52%), 194 with alcohol consumption (25.49%), 412 with a low frequency of physical activities (54.14%), 347 with one type of lifestyle risk factor (45.60%) and 268 with two and more types of lifestyle risk factors (35.22%), 404 with hypertension, 170 with diabetes and 321 with dyslipidemia. There were 347 participants with one type of chronic disease (45.60%), 199 with two types of chronic diseases (26.15%) and 50 with three types of chronic diseases (6.57%), and the prevalence of comorbidity of chronic diseases was 32.72% among the participants. Multivariable ordered logistic regression analysis showed an increased risk of developing comorbidity of chronic diseases among participants with central obesity (OR=2.442, 95%CI: 1.804-3.307), and a reduced risk of comorbidity of chronic diseases among participants with less than two types of lifestyle risk factors (one type, OR=0.607, 95%CI: 0.451-0.820; none, OR=0.675, 95%CI: 0.460-0.990). Conclusions Central obesity and number of lifestyle risk factors are factors affecting comorbidity of chronic diseases among the male elderly populations at ages of 65 years and older in Oroqen Autonomous Banner.

Monogenic diabetes is a special type of diabetes caused by a single gene mutation, and it is commonly misdiagnosed in clinical practice. The two major forms of monogenic diabetes are neonatal diabetes(NDM) and maturity onset diabetes of the young(MODY). The most common mutations in 6 genes, induding HNF1α, GCK, HNF4α, KCNJ11, ABCC8, and INS, account for more than 90% of all monogenic diabetic cases. This article is to review recent advances in clinical features, and precision medicine of monogenic diabetes, and to discuss the significance of insights gained from monogenic diabetes in better understanding the pathogenesis of type 1 and type 2 diabetes. The current models for screening of monogenic diabetes were also discussed.

Objective To observe the feasibility of Fourier ring correlation(FRC)for measuring the overall resolution of ultrasonic microvascular images.Methods Liver contrast-enhanced ultrasound(CEUS)images of 1 patient with suspected hepatic hemangioma(dataset 1)were processed with singular value decomposition(SVD)filter(dataset 2)and Frangi filter(dataset 3),respectively.Three ROI were selected on CEUS image in each dataset,and the signal-intensity curves were drawn,and local resolution of CEUS image in each dataset was measured using full width at half maxima(FWHM)method.Then the above datasets were divided into odd frame subset and even frame subset,respectively,which were converted into frequency domain using fast Fourier transform.FRC curves were generated to calculate the overall resolution of each kind images.Results The signal-to-noise ratio(SNR)of CEUS images in dataset 1,2,3 was(19.94±2.33),(30.36±0.78)and(69.52±16.38)dB,respectively,the local resolution was(4.07±9.82),(1.53±0.04)and(1.27±0.06)mm,both successively increased(all P＜0.05).The overall resolution of CEUS images in dataset 1,2,3 was 2.07,0.91 and 0.51 mm,respectively.Conclusion FRC was feasible for measuring the overall resolution of ultrasonic microvascular images.

Objective To observe the effect of extracting different speed contrast-enhanced ultrasound(CEUS)signals using singular value decomposition filtering and implementing fused imaging for improving visualization of microvascular structures.Methods Singular value decomposition and filtering were performed on 200 frames of mouse subcutaneous tumor and 250 frames of human liver CEUS image datasets.The singular value inflection point was used as the threshold for separating low-speed and high-speed contrast signals by exponential projection of singular values on the singular value sequence.The low-speed and high-speed signals in dataset were extracted,and dual-modal fusion imaging was performed on the processed images.The image resolution differences of ultrasound microvascular imaging regions with different flow velocities were evaluated.Results The high-speed blood flow images processed by the high singular value sequence range retained the fast-moving contrast signals which mainly showed the thicker blood vessel structures,while the low-speed blood flow images processed by the low singular value sequence range retained the low-speed moving contrast signals which reflected the microvascular structures on high singular value images.The fusion imaging displayed microvascular network more completely.Conclusion Appropriate selection of singular value range was crucial to optimization of CEUS images using singular value decomposition filtering.Fusion imaging was beneficial to improving visualization of microvascular structures.

OBJECTIVES: Major depressive disorder (MDD) patients with anhedonia tend to have a poor prognosis. The underlying imaging basis for anhedonia in MDD remains largely unknown. The relationship between nodal properties and anhedonia in MDD patients need to be further investigated. Herein, this study aims to explore differences of cerebral functional node characteristics in MDD patients with severe anhedonia (MDD-SA) and MDD patients with mild anhedonia (MDD-MA) before and after the antidepressant treatment. METHODS: Ninety participants with current MDD were recruited in this study. 24-Item Hamilton Depression Scale (HAMD-24) and Snaith-Hamilton Pleasure Scale (SHAPS) were used to assess the severity of depression and anhedonia at baseline and the end of 6-months treatment. The MDD patients who scored above the 25th percentile on the SHAPS were assigned to an MDD-SA group (n=19), while those who scored below the 25th percentile were assigned to an MDD-MA group (n=18). All patients in the 2 groups received antidepressant treatment. Functional magnetic resonance imaging (fMRI) images of all the patients were collected at baseline and the end of 6-months treatment. Graph theory was applied to analyze the patients' cerebral functional nodal characteristics, which were measured by efficiency (e_i) and degree (k_i). RESULTS: Repeated measures 2-factor ANCOVA showed significant main effects on group on the e_i and k_i values of left superior frontal gyrus (LSFG) (P=0.003 and P=0.008, respectively), and on the e_i and k_i values of left medial orbital-frontal gyrus (LMOFG) (P=0.004 and P=0.008, respectively). Compared with the MDD-MA group, the significantly higher e_i and k_i values of the LSFG (P=0.015 and P=0.021, respectively), and the significantly higher e_i and k_i values of the LMOFG (P=0.015 and P=0.037, respectively) were observed in the MDD-SA group at baseline. Meanwhile, higher SHAPS scores could result in higher e_i and k_i values of LSFG (P=0.019 and P=0.026, respectively), and higher e_i value of LMOFG (P=0.040) at baseline; higher SHAPS scores could result in higher e_i values of LSFG (P=0.049) at the end of 6-months treatment. The multiple linear regression analysis revealed that sex were negatively correlated with the e_i and k_i values of LSFG (r= -0.014, P=0.004; r=-1.153, P=0.001, respectively). The onset age of MDD was negatively correlated with the k_i value of LSFG (r=-0.420, P=0.034) at the end of 6-months treatment. We also found that SHAPS scores at baseline were positively correlated with the HAMD-24 scores (r=0.387, P=0.022) at the end of 6-months treatment. CONCLUSIONS There are obvious differences in nodal properties between the MDD-SA and the MDD-MA patients, such as the high e_i of LSFG in the MDD-SA patients, which may be associated with the severity of anhedonia. These nodal properties could be potential biomarkers for the prognosis of MDD. The increased e_i and k_i values in the LSFG of MDD-SA patients may underlie a compensatory mechanism or protective mechanism. The mechanism may be an important component of the pathological mechanism of MDD-SA. The poor prognosis in the MDD-SA patients suggests that anhedonia may predict a worse prognosis in MDD patients. Sex and onset age of MDD may affect the nodal properties of LSFG at baseline and the end of 6-months treatment.
Anhedonia ; Antidepressive Agents/therapeutic use* ; Depressive Disorder, Major/drug therapy* ; Humans ; Infant ; Infant, Newborn ; Magnetic Resonance Imaging ; Prefrontal Cortex