Serum sex hormone binding globulin profile and its association with insulin resistance in Chinese peri-menopausal women

Wstęp: Celem badania było oznaczenie profilu stężeń globuliny wiążącej hormony płciowe (SHBG) w surowicy u Chinek będących w okresie okołomenopauzalnym oraz ocena korelacji tego profilu z parametrem insulinooporności HOMA-IR w tej szczególnej populacji. Materiał i metody: Przeprowadzono badanie przekrojowe metodą doboru grupowego z udziałem 1827 kobiet przebywających w szpitalu na rutynowych badaniach kontrolnych. Oznaczono profil stężeń SHBG i parametry statusu hormonalnego, parametry otyłości i parametry metaboliczne. Uczestniczki badania podzielono ze względu na wiek i status menstruacyjny na trzy grupy: grupę w okresie przedmenopauzalnym, grupę w okresie okołomenopauzalnym i grupę w okresie pomenopauzalnym. Wyniki: Stwierdzono, że stężenie SHBG w surowicy wykazuje ujemną korelację z BMI we wszystkich grupach i wzrasta z wiekiem kobiet w wieku reprodukcyjnym. Stężenie SHBG ulegało też, niezależnie od wieku, znamiennemu wzrostowi od początku zmian menopauzalnych, a następnie, po menopauzie, ulegało nieznacznemu zmniejszeniu. Po wzięciu poprawek na wiek i BMI, stwierdzono, że HOMA-IR u kobiet w okresie okołomenopauzalnym wykazuje ścisły związek wyłącznie z SHBG. Stwierdzono, że stężenie SHBG jest jedynym niezależnym istotnym determinantem HOMA-IR. Na podstawie analizy krzywej ROC dla predykcji insulinooporności na podstawie wartości HOMA-IR stwierdzono, że AUC dla SHBG osiąga wartość 0,816 (95% przedział ufności: 0,636–0,996). W przypadku kobiet w okresie okołomenopauzalnym najlepszą wartość odcięcia odróżniającą kobiety z insulinoopornością od kobiet bez insulinooporności jest 41,73 nmol/l przy czułości wynoszącej 81,4% i swoistości wynoszącej 87,5%. Wnioski: U Chinek w okresie okołomenopauzalnym niskie stężenie SHBG może stanowić niezależny czynnik ryzyka insulinooporności. (Endokrynol Pol 2013; 64 (3): 197–202)Introduction: The aim of this study was to measure serum sex hormone binding globulin (SHBG) profile in Chinese peri-menopausal women, and assess its correlation with insulin resistance (IR)-related parameter, namely HOMA-IR, in this special population. Material and methods: A cross-sectional study by the method of cluster sampling was performed in 1,827 women, who were in hospital for routine check-up. Serum SHBG profile and anthropometric indices of hormonal, adiposity, and metabolic variables were measured. According to their age and menstruation status, the subjects were divided into three groups: pre-menopause group, peri-menopause group, and post-menopause group. Results: Serum SHBG level was found to be negatively correlated with BMI in all groups and to increase in parallel with age in women of reproductive age. However, independently of age, it significantly increased from the onset of menopause transition, and slightly declined after menopause. After adjustment for age and BMI, HOMA-IR in peri-menopausal women was closely related only to SHBG. SHBG level was found to be the only independent significant determinant of HOMA-IR. On the basis of ROC curve analysis for the prediction of insulin resistance using HOMA-IR value, AUC for SHBG reached a value of 0.816 (0.636–0.996, 95% confidence interval). The best cutoff value that discriminates peri-menopausal women with or without insulin resistance is 41.73 nmol/L, with a sensitivity of 81.4% and a specificity of 87.5%. Conclusions: Low SHBG level may be an independent risk factor of insulin resistance in Chinese peri-menopausal women. (Endokrynol Pol 2013; 64 (3): 197–202

A novel deep-learning based weighted feature fusion architecture for precise classification of pressure injury

Introduction: Precise classification has an important role in treatment of pressure injury (PI), while current machine-learning or deeplearning based methods of PI classification remain low accuracy.Methods: In this study, we developed a deeplearning based weighted feature fusion architecture for fine-grained classification, which combines a top-down and bottom-up pathway to fuse high-level semantic information and low-level detail representation. We validated it in our established database that consist of 1,519 images from multi-center clinical cohorts. ResNeXt was set as the backbone network.Results: We increased the accuracy of stage 3 PI from 60.3% to 76.2% by adding weighted feature pyramid network (wFPN). The accuracy for stage 1, 2, 4 PI were 0.870, 0.788, and 0.845 respectively. We found the overall accuracy, precision, recall, and F1-score of our network were 0.815, 0.808, 0.816, and 0.811 respectively. The area under the receiver operating characteristic curve was 0.940.Conclusions: Compared with current reported study, our network significantly increased the overall accuracy from 75% to 81.5% and showed great performance in predicting each stage. Upon further validation, our study will pave the path to the clinical application of our network in PI management

Research of ddi based on multi-label conditional random field

The detection of drug name and drug-drug interaction(DDI) is considered as a sequence labeling task in this paper. We present the multi-label CRF method to complete it. Compared to the traditional method, our method can not only identify drug names, but also can identify drug-drug interaction. According to the characteristics of medical texts, this paper extracts the good features of the description of DDI. The proposed method has good performance in DDIExtraction 2013 evaluation corpus

Research of ddi based on multi-label conditional random field

The detection of drug name and drug-drug interaction(DDI) is considered as a sequence labeling task in this paper. We present the multi-label CRF method to complete it. Compared to the traditional method, our method can not only identify drug names, but also can identify drug-drug interaction. According to the characteristics of medical texts, this paper extracts the good features of the description of DDI. The proposed method has good performance in DDIExtraction 2013 evaluation corpus

Long-Term Performance of a Deep Excavation in Silty Clay in Xi’an—A Case Study

The long-term deformation of a 17.5 m deep excavation constructed with the bottom-up technique in silty clay in Xi’an was monitored in this study. The retaining wall was built with one or two rows of contiguous bored concrete piles and tie-back prestressing tendons. The monitoring of settlement and lateral deflection at the top of the retaining structure, and the settlement of the ground surface and of the adjacent building lasted for more than 4 years. After the final depth was reached, the excavation was surveyed for more than 3.1 years. It was observed that the deformation of the excavation increased with the increase in the excavation depth, and a significant increase in displacement was recorded after the excavation reached the final depth. The averaged time-dependent rates of the deflection of the retaining wall, and the settlement of the ground surface and of the adjacent building when the excavation remained partially unfilled were around 0.23–0.25 mm/month in this study. The time-dependent behavior of the excavation could lead to excessive deformation and cause severe safety risks to the retaining system. The recorded data, together with a comparison with cases reported in the open literature, are presented in this paper

Vertically Aligned Titanium Nitride Nanorod Arrays as Supports of Platinum-Palladium-Cobalt Catalysts for Thin-Film Proton Exchange Membrane Fuel Cell Electrodes

The degradation of the carbon supports and high platinum (Pt) loading significantly hinder the wide adoption of proton exchange membrane fuel cells. In conventional electrodes, the ionomer binders introduce an undesirable, high oxygen-transport resistance and cover the catalysts active sites. Herein, an advanced catalytic layer based on vertically aligned titanium nitride nanorod arrays (TiN NRs) is prepared, without additional ionomer or binders in the cathode. After supporting the thin-film platinum-palladium-cobalt (PtPdCo) catalyst (Pt loading: 66.9 mu m cm(-2)) onto TiN NRs, the ordered electrodes were investigated as the cathode of a single cell without additional ionomer in the catalytic layer. With this electrode architecture, the as-synthesized electrode performs with a maximum power density of 390.5 mW cm(-2) and cathode mass-specific power density of 5.84 Wmg(Pt)(-1). The 2000 potential cycles accelerated degradation test shows that the PtPdCo-TiN electrode is more stable than the commercial gas diffusion electrode

Advances and Challenges in Wearable Glaucoma Diagnostics and Therapeutics

Glaucoma is a leading cause of irreversible blindness, and early detection and treatment are crucial for preventing vision loss. This review aims to provide an overview of current diagnostic and treatment standards, recent medical and technological advances, and current challenges and future outlook for wearable glaucoma diagnostics and therapeutics. Conventional diagnostic techniques, including the rebound tonometer and Goldmann Applanation Tonometer, provide reliable intraocular pressure (IOP) measurement data at single-interval visits. The Sensimed Triggerfish and other emerging contact lenses provide continuous IOP tracking, which can improve diagnostic IOP monitoring for glaucoma. Conventional therapeutic techniques include eye drops and laser therapies, while emerging drug-eluting contact lenses can solve patient noncompliance with eye medications. Theranostic platforms combine diagnostic and therapeutic capabilities into a single device. Advantages of these platforms include real-time monitoring and personalized medication dosing. While there are many challenges to the development of wearable glaucoma diagnostics and therapeutics, wearable technologies hold great potential for enhancing glaucoma management by providing continuous monitoring, improving medication adherence, and reducing the disease burden on patients and healthcare systems. Further research and development of these technologies will be essential to optimizing patient outcomes

Pollution source and chemicals structure of the water-soluble fractions in PM2.5 that induce apoptosis in China

Identify risk drivers is the key condition in air pollution control, and biological effect-directed analysis is the most commented method for combing chemical identify and human health. The water-soluble organic matter contained in PM2.5 plays an important role in human health, while it is also the most difficult to identify its chemical information. Exploring the structural characteristics and pollution sources of its key toxic components is the optimized strategy to meet this question. In this study, the induction of apoptosis by the water-soluble fractions (WSF) of PM2.5 samples collected in 10 major cities in China over a period of 1 year was observed in vitro in Beas-2b cells. Organic carbon structures were examined using nuclear magnetic resonance; air potential sources were identified using δ13C and 14C isotopic markers. Apoptosis induction by WSF in PM2.5 was generally stronger in northern cities than in southern cities, and in winter than in summer. Organic compounds with aromatic and double-bond carbon structures from secondary products of motor vehicle exhausts, coal-derived emissions, and emissions derived from the burning of core residues may be primarily responsible for apoptosis induction by PM2.5. Our results will contribute to understanding the toxic substances contained in WSF and provide basic data for accurate pollution control

Highly efficient generation of GGTA1 biallelic knockout inbred mini-pigs with TALENs.

Inbred mini-pigs are ideal organ donors for future human xenotransplantations because of their clear genetic background, high homozygosity, and high inbreeding endurance. In this study, we chose fibroblast cells from a highly inbred pig line called Banna mini-pig inbred line (BMI) as donor nuclei for nuclear transfer, combining with transcription activator-like effector nucleases (TALENs) and successfully generated α-1,3-galactosyltransferase (GGTA1) gene biallelic knockout (KO) pigs. To validate the efficiency of TALEN vectors, in vitro-transcribed TALEN mRNAs were microinjected into one-cell stage parthenogenetically activated porcine embryos. The efficiency of indel mutations at the GGTA1-targeting loci was as high as 73.1% (19/26) among the parthenogenetic blastocysts. TALENs were co-transfected into porcine fetal fibroblasts of BMI with a plasmid containing neomycin gene. The targeting efficiency reached 89.5% (187/209) among the survived cell clones after a 10 d selection. More remarkably 27.8% (58/209) of colonies were biallelic KO. Five fibroblast cell lines with biallelic KO were chosen as nuclear donors for somatic cell nuclear transfer (SCNT). Three miniature piglets with biallelic mutations of the GGTA1 gene were achieved. Gal epitopes on the surface of cells from all the three biallelic KO piglets were completely absent. The fibroblasts from the GGTA1 null piglets were more resistant to lysis by pooled complement-preserved normal human serum than those from wild-type pigs. These results indicate that a combination of TALENs technology with SCNT can generate biallelic KO pigs directly with high efficiency. The GGTA1 null piglets with inbred features created in this study can provide a new organ source for xenotransplantation research

Generation of Knock-In Pigs Carrying Oct4-tdTomato Reporter through CRISPR/Cas9-Mediated Genome Engineering

<div><p>The porcine pluripotent cells that can generate germline chimeras have not been developed. The Oct4 promoter-based fluorescent reporter system, which can be used to monitor pluripotency, is an important tool to generate authentic porcine pluripotent cells. In this study, we established a porcine Oct4 reporter system, wherein the endogenous Oct4 promoter directly controls red fluorescent protein (RFP). 2A-tdTomato sequence was inserted to replace the stop codon of the porcine Oct4 gene by homogenous recombination (HR). Thus, the fluorescence can accurately show the activation of endogenous Oct4. Porcine fetal fibroblast (PFF) lines with knock-in (KI) of the tdTomato gene in the downstream of endogenous Oct4 promoter were achieved using the CRISPR/CAS9 system. Transgenic PFFs were used as donor cells for somatic cell nuclear transfer (SCNT). Strong RFP expression was detected in the blastocysts and genital ridges of SCNT fetuses but not in other tissues. Two viable transgenic piglets were also produced by SCNT. Reprogramming of fibroblasts from the fetuses and piglets by another round of SCNT resulted in tdTomato reactivation in reconstructed blastocysts. Result indicated that a KI porcine reporter system to monitor the pluripotent status of cells was successfully developed.</p></div