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Many studies had established the chronic kidney disease (CKD) prediction models, but most of them were conducted on the general population and not on patients with type 2 diabetes, especially in Asian populations. This study aimed to develop a risk prediction model for CKD in patients with type 2 diabetes from the Diabetes Care Management Program (DCMP) in Taiwan. This research was a retrospective cohort study. We used the DCMP database to set up a cohort of 4,601 patients with type 2 diabetes without CKD aged 40-92 years enrolled in the DCMP program of a Taichung medical center in 2002-2016. All patients were followed up until incidences of CKD, death, and loss to follow-up or 2016. The dataset for participants of national DCMP in 2002-2004 was used as external validation. The incident CKD cases were defined as having one of the following three conditions: ACR data greater than or equal to 300 (mg/g); both eGFR data less than 60 (ml/min/1.73 m 2 ) and ACR data greater than or equal to 30 (mg/g); and eGFR data less than 45 (ml/min/1.73 m 2 ). The study subjects were randomly allocated to derivation and validation sets at a 2:1 ratio. Cox proportional hazards regression model was used to identify the risk factors of CKD in the derivation set. Time-varying area under receiver operating characteristics curve (AUC) was used to evaluate the performance of the risk model. After an average of 3.8 years of follow-up period, 3,067 study subjects were included in the derivation set, and 786 (25.63%) were newly diagnosed CKD cases. A total of 1,534 participants were designated to the validation set, and 378 (24.64%) were newly diagnosed CKD cases. The final CKD risk factors consisted of age, duration of diabetes, insulin use, estimated glomerular filtration rate, albumin-to-creatinine ratio, high-density lipoprotein cholesterol, triglyceride, diabetes retinopathy, variation in HbA1c, variation in FPG, and hypertension drug use. The AUC values of 1-, 3-, and 5-year CKD risks were 0.74, 0.76, and 0.77 in the validation set, respectively, and were 0.76, 0.77, and 0.76 in the sample for external validation, respectively. The value of Harrell's c-statistics was 0.76 (0.74, 0.78). The proposed model is the first CKD risk prediction model for type 2 diabetes patients in Taiwan. The 1-, 3-, and 5-year CKD risk prediction models showed good prediction accuracy. The model can be used as a guide for clinicians to develop medical plans for future CKD preventive intervention in Chinese patients with type 2 diabetes., (© 2022. The Author(s).)

The antidepressant mechanism of Sini Powder was investigated by metabonomics based on UHPLC-Q-TOF-MS, and the roles of processing and compatibility in the antidepression of Sini Powder were discussed in the present study. The chronic unpredictable mild stress(CUMS) model of depression was induced in the model group, the Bupleuri Radix group, the Paeoniae Radix Alba group, the herb-pair group(Bupleuri Radix-Paeoniae Radix Alba), the Sini Powder group, and the vinegar-processed Sini Powder group(Bupleuri Radix and Paeoniae Radix Alba were vinegar-processed). After the establishment of the model, the rats in each group were continuously administered with corresponding drugs(ig) at a dose of 9.6 g·kg~(-1) for eight days [the rats in the model group and the normal group(without model induction) received the same volume of normal saline at the same time]. Following the last administration, the differential metabolites were identified to analyze metabolic pathways based on the rat plasma samples collected from each group. A total of sixteen potential biomarkers were identified. The metabolites with significant changes were involved in many biological metabolic pathways, such as amino acid metabolism, pentose phosphate pathway, glycerol phospholipid metabolism, sphingolipid metabolism, and purine metabolism. After drug intervention, some biomarkers returned to normal levels. Further comparisons of processing and compatibility revealed that the vinegar-processed Sini Powder group had the most total metabolic pathways where differential metabolites were returned to normal. Compared with the individual herbs, the herb-pair significantly improved the recovery of differential metabolites in the pentose phosphate and purine metabolic pathways. Compared with the Sini Powder, the vinegar-processed Sini Powder facilitated the recovery of differential metabolites in the arginine biosynthesis, and pyrimidine and pentose phosphate metabolic pathways. As indicated by the results, Sini Powder may interfere with depression by regulating lipid and nucleotide metabolisms. The processing and compatibility of Chinese herbal medicines can potentiate the intervention on depression by regulating nucleotide, energy, and amino acid metabolisms to a certain extent.

Abnormal wound healing by pulmonary artery smooth muscle cells (PASMCs) promotes vascular remodeling in hypoxia-induced pulmonary hypertension (HPH). Increasing evidence shows that both the mammalian target of rapamycin complex 1 (mTORC1) and nuclear factor-kappa B (NF-κB) are involved in the development of HPH. In this study, we explored the crosstalk between mTORC1 and NF-κB in PASMCs cultured under hypoxic condition and in a rat model of hypoxia-induced pulmonary hypertension (HPH). We showed that hypoxia promoted wound healing of PASMCs, which was dose-dependently blocked by the mTORC1 inhibitor rapamycin (5-20 nM). In PASMCs, hypoxia activated mTORC1, which in turn promoted the phosphorylation of NF-κB. Molecular docking revealed that mTOR interacted with IκB kinases (IKKs) and that was validated by immunoprecipitation. In vitro kinase assays and mass spectrometry demonstrated that mTOR phosphorylated IKKα and IKKβ separately. Inhibition of mTORC1 decreased the level of phosphorylated IKKα/β, thus reducing the phosphorylation and transcriptional activity of NF-κB. Bioinformatics study revealed that dipeptidyl peptidase-4 (DPP4) was a target gene of NF-κB; DPP4 inhibitor, sitagliptin (10-500 μM) effectively inhibited the abnormal wound healing of PASMCs under hypoxic condition. In the rat model of HPH, we showed that NF-κB activation (at 3 weeks) was preceded by mTOR signaling activation (after 1 or 2 weeks) in lungs, and administration of sitagliptin (1-5 mg/kg every day, ig) produced preventive effects against the development of HPH. In conclusion, hypoxia activates the crosstalk between mTORC1 and NF-κB, and increased DPP4 expression in PASMCs that leads to vascular remodeling. Sitagliptin, a DPP4 inhibitor, exerts preventive effect against HPH.

Background: Subclinical hypothyroidism, commonly caused by Hashimoto thyroiditis (HT), is a risk factor for cardiovascular diseases. This disorder is defined as merely having elevated serum thyroid stimulating hormone (TSH) levels. However, the upper limit of reference range for TSH is debated recently. This study was to determine the cutoff value for the upper normal limit of TSH in a cohort using the prevalence of Hashimoto thyroiditis as "gold" calibration standard., Methods: The research population was medical staff of 2856 individuals who took part in health examination annually. Serum free triiodothyronine (FT3), free thyroxine (FT4), TSH, thyroid peroxidase antibody (TPAb), thyroglobulin antibody (TGAb) and other biochemistry parameters were tested. Meanwhile, thyroid ultrasound examination was performed. The diagnosis of HT was based on presence of thyroid antibodies (TPAb and TGAb) and abnormalities of thyroid ultrasound examination. We used two different methods to estimate the cutoff point of TSH based on the prevalence of HT., Results: Joinpoint regression showed the prevalence of HT increased significantly at the ninth decile of TSH value corresponding to 2.9 mU/L. ROC curve showed a TSH cutoff value of 2.6 mU/L with the maximized sensitivity and specificity in identifying HT. Using the newly defined cutoff value of TSH can detect patients with hyperlipidemia more efficiently, which may indicate our approach to define the upper limit of TSH can make more sense from the clinical point of view., Conclusions: A significant increase in the prevalence of HT occurred among individuals with a TSH of 2.6-2.9 mU/L made it possible to determine the cutoff value of normal upper limit of TSH.

Unlabelled: On the basis of total temperature increase, normal dehydration, and maturity, the odor compositions of surface and internal piles in a well-run sewage sludge compost plant were analyzed using gas chromatography-mass spectrometry with a liquid nitrogen cooling system and a portable odor detector. Approximately 80 types of substances were detected, including 2 volatile inorganic compounds, 4 sulfur organic compounds, 16 benzenes, 27 alkanes, 15 alkenes, and 19 halogenated compounds. Most pollutants were mainly produced in the mesophilic and pre-thermophilic periods. The sulfur volatile organic compounds contributed significantly to odor and should be controlled primarily. Treatment strategies should be based on the properties of sulfur organic compounds. Hydrogen sulfide, methyl mercaptan, dimethyl disulfide, dimethyl sulfide, ammonia, and carbon disulfide were selected as core indicators. Ammonia, hydrogen sulfide, carbon disulfide, dimethyl disulfide, methyl mercaptan, dimethylbenzene, phenylpropane, and isopentane were designated as concentration indicators. Benzene, m-xylene, p-xylene, dimethylbenzene, dichloromethane, toluene, chlorobenzene, trichloromethane, carbon tetrachloride, and ethylbenzene were selected as health indicators. According to the principle of odor pollution indicator selection, dimethyl disulfide was selected as an odor pollution indicator of sewage sludge composting. Monitoring dimethyl disulfide provides a highly scientific method for modeling and evaluating odor pollution from sewage sludge composting facilities., Implications: Composting is one of the most important methods for sewage sludge treatment and improving the low organic matter content of many agricultural soils. However, odors are inevitably produced during the composting process. Understanding the production and emission patterns of odors is important for odor control and treatment. Core indicators, concentration indicators, and health indicators provide an index system to odor evaluation. An odor pollution indicator provides theoretical support for further modelling and evaluating odor pollution from sewage sludge composting facilities.

Two new zinc complexes, Zn(HL1)2 (1) and [Zn2(H2L2)(OAc)2]2 (2) [H2L1 = Schiff base derived from o-vanillin and (R)-(+)-2-amino-3-phenyl-1-propanol, H3L2 = Schiff base derived from o-vanillin and 2-amino-2-ethyl-1,3-propanediol], have been synthesized and characterized by single crystal X-ray diffraction, elemental analyses, TG analyses, solid fluorescence, IR, UV-Vis and circular dichroism spectra. The structural analysis shows that complex 1 has a right-handed double helical chain along the crystallographic b axis. A homochiral 3D supramolecular architecture has been further constructed by intermolecular C-H··· π, O-H···O and C-H···O interactions. Complex 2 includes two crystallographically independent binuclear zinc molecules. The two binuclear zinc molecules are isostructural. The 2-D sheet supramolecular structure was formed by intermolecular hydrogen bonding interaction. The fluorescence of ligands and complexes in DMF at room temperature are studied. The interactions of two complexes with calf thymus DNA (CT-DNA) are investigated using UV-Vis, CD and fluorescence spectroscopy. The results show that complex 1 exhibits higher interaction with CT-DNA than complex 2. In addition, in vitro cytotoxicity of the complexes towards four kinds of cancerous cell lines (A549, HeLa, HL-60 and K562) were assayed by the MTT method. Investigations on the structures indicated that the chirality and nuclearity of zinc complexes play an important role on cytotoxic activity.

Objective: To identify some risk factors of MCI among patients with type 2 diabetes(T2DM) and to find if there is any correlation between these factors and the degree of cognitive decline., Methods: A total of 155 patients with T2DM referred to the Department of Endocrinology at First Hospital of Qinhuangdao were enrolled. To assess MCI the Montreal Cognitive Assessment (MoCA) scoring system was used. There were 66 patients with MCI and 89 patients without MCI (control). HbAlc, blood lipid, liver and renal functions were measured in all subjects., Results: Compared with the control group, type 2 diabetic patients with MCI had a longer duration of diabetes; higher non-high-density lipoprotein cholesterol (non-HDL-C), triglycerides, total cholesterol, HbA1c, and BMI; and lower high-density lipoprotein cholesterol (HDL-C) (P<0.05). The rates of patients with a history of habitual light-to-moderate alcohol consumption, a high proportion of Mediterranean-type diet, and regular physical activity were lower; and the rate of current smoking was higher in type 2 diabetic patients with MCI than the control group (P<0.05). Among patients with MCI, the results indicated that MoCA score was negatively correlated with non-HDL-C (r=-0.761 P<0.001)., Conclusions: Our results suggest that non-HDL-C can act as a readily available method for estimating risk of MCI in Chinese type 2 diabetic patient in routine clinical practice. Good lifestyle likely reduces MCI risk in diabetic patients., (Copyright © 2013 Elsevier Inc. All rights reserved.)

The title compound, (C(2)H(10)N(2))(3)(C(2)H(9)N(2))(2)[Mo(5)(HPO(4))(2)O(15)]·10H(2)O, was prepared under hydro-thermal conditions at pH 5.0. The structure contains mono- and diprotonated ethyl-enediamine cations, [Mo(5)O(15)(HPO(4))(2)](4-) anions and uncoord-in-ated water mol-ecules. The [Mo(5)O(15)(HPO(4))(2)](4-) hetero-poly-oxometallate anion is made up of five MoO(6) octa-hedra sharing an edge and forming a ring, which is closed by common corners of the terminal MoO(6) octa-hedron. The ring is topped on both sides by two slightly distorted PO(4) tetra-hedra, sharing three corners with three MoO(6) octa-hedra. The terminal oxygen atoms of the PO(4) units are protonated. Together with the anions, the water mol-ecules and the ethyl-enediammonium cations are involved in N-H⋯O and O-H⋯O hydrogen bonding, forming a three-dimensional supra-molecular network.

This study aimed to investigate the role of angiotensin-converting enzyme 2 (ACE2) in regulating glucose homeostasis. Immunohistochemistry was used to investigate ACE2 expression in the pancreas. Glucose tolerance test, insulin secretion test, and insulin tolerance test were performed in age-matched male ACE2 knockout (KO) and wild-type (WT) mice. We found that ACE2 was positively expressed in the pancreas. Male ACE2 KO mice displayed a selective decrease in first-phase insulin secretion in response to glucose and a progressive impairment of glucose tolerance compared with age- and sex-matched WT mice. On the other hand, insulin sensitivity of the peripheral tissue in age-matched ACE2 KO and WT mice showed no difference. These findings suggest that ACE2 might play an important role in glucose homeostasis as well as type 2 diabetes.