Sex-Specific Alterations in Placental Proteomics Induced by Intrauterine Hyperglycemia.

Gestational diabetes mellitus (GDM) with intrauterine hyperglycemia induces a series of changes in the placenta, which have adverse effects on both the mother and the fetus. The aim of this study was to investigate the changes in the placenta in GDM and its gender differences. In this study, we established an intrauterine hyperglycemia model using ICR mice. We collected placental specimens from mice before birth for histological observation, along with tandem mass tag (TMT)-labeled proteomic analysis, which was stratified by sex. When the analysis was not segregated by sex, the GDM group showed 208 upregulated and 225 downregulated proteins in the placenta, primarily within the extracellular matrix and mitochondria. Altered biological processes included cholesterol metabolism and oxidative stress responses. After stratification by sex, the male subgroup showed a heightened tendency for immune-related pathway alterations, whereas the female subgroup manifested changes in branched-chain amino acid metabolism. Our study suggests that the observed sex differences in placental protein expression may explain the differential impact of GDM on offspring.

Left ventricular hypertrophy and left atrial diameter are associated with mortality risk in haemodialysis patients: a retrospective cohort study.

BACKGROUND: Cardiovascular death is the main cause of death in patients with end-stage kidney disease (ESKD). Left ventricular hypertrophy (LVH) and left atrial diameter (LAD) enlargement are frequent cardiac alterations in patients with ESKD and are major risk factors for cardiovascular events. However, it remains unclear whether there is an association between combined LAD or LVH and all-cause or cardiovascular mortality in this population. METHODS: A single-centre, retrospective cohort study including 576 haemodialysis (HD) patients was conducted. Patients were evaluated by cardiac ultrasound, and the study cohort was divided into four groups according to LAD and LVH status: low LAD and non-LVH; low LAD and LVH; high LAD and non-LVH; and high LAD and LVH. We used Kaplan-Meier analysis and Cox proportional hazard regression to analyse all-cause and cardiovascular mortality after multivariate adjustment. RESULTS: LAD was associated with an increased risk of all-cause mortality (HR 2.371, 1.602-3.509; p < 0.001). No significant differences were found between LVH and the risk of all-cause mortality. Patients with high LAD and LVH had significantly greater all-cause and cardiovascular mortality than did those with low LAD and non-LVH after adjustments for numerous potential confounders (HR 3.080, 1.608-5.899; p = 0.001) (HR 4.059, 1.753-9.397; p = 0.001). CONCLUSION: Among maintenance haemodialysis (MHD) patients, LAD was more strongly associated with mortality than was LVH. A high LAD and LVH are associated with a greater risk of mortality. Our results emphasize that the occurrence of LAD and LVH in combination provides information that may be helpful in stratifying the risk of MHD patients.

Effects of low-flux and high-flux hemodialysis on the survival of elderly maintenance hemodialysis patients.

BACKGROUND: Elderly hemodialysis (HD) patients have a high risk of death. The effect of different types of HD membranes on survival is still controversial. The purpose of this study was to determine the relationship between the use of low-flux or high-flux membranes and all-cause and cardiovascular mortality in elderly hemodialysis patients. METHODS: This was a retrospective clinical study involving maintenance hemodialysis patients which were categorized into low-flux and high-flux groups according to the dialyzer they were using. Propensity score matching was used to balance the baseline data of the two groups. Survival rates were compared between the two groups, and the risk factors for death were analyzed by multivariate Cox regression. RESULTS: Kaplan-Meier survival analysis revealed no significant difference in all-cause mortality between the low-flux group and the high-flux group (log-rank test, p = 0.559). Cardiovascular mortality was significantly greater in the low-flux group than in the high-flux group (log-rank test, p = 0.049). After adjustment through three different multivariate models, we detected no significant difference in all-cause mortality. Patients in the high-flux group had a lower risk of cardiovascular death than did those in the low-flux group (HR = 0.79, 95% CI, 0.54-1.16, p = 0.222; HR = 0.58, 95% CI, 0.37-0.91, p = 0.019). CONCLUSIONS: High-flux hemodialysis was associated with a lower relative risk of cardiovascular mortality in elderly MHD patients. High-flux hemodialysis did not improve all-cause mortality rate. Differences in urea distribution volume, blood flow, and systemic differences in solute clearance by dialyzers were not further analyzed, which are the limitations of this study.

Multi working mode SPR chip laboratory for high refractive index detection.

The Fiber SPR chip laboratory has become a popular choice in biochemical detection. To meet the needs of different kinds of analytes for the detection range and number of channels of the chip, we proposed a multi-mode SPR chip laboratory based on microstructure fiber in this paper. The chip laboratory was integrated with microfluidic devices made from PDMS and detection units made of bias three-core fiber and dumbbell fiber. By injecting light into different cores of a bias three-core fiber, different detection areas of dumbbell fiber can be selected, enabling the chip laboratory to enter high refractive index detection, multi-channel detection and other working modes. In the high refractive index detection mode, the chip can detect liquid samples with a refractive index range of 1.571-1.595. In multi-channel detection mode, the chip can achieve dual parameter detection of glucose and GHK-Cu, with sensitivities of 4.16 nm/(mg/mL) and 9.729 nm/(mg/mL), respectively. Additionally, the chip can switch to temperature compensation mode. The proposed multi working mode SPR chip laboratory, based on micro structured fiber, offers a new approach for the development of portable testing equipment that can detect multiple analytes and meet multiple requirements.

Abdominal aortic calcification score can predict all-cause and cardiovascular mortality in maintenance hemodialysis patients.

Purpose: Abdominal aortic calcification (AAC) assessed by using standard lateral lumbar radiographs can be graded, and composite summary scores (range, 0-24) have been shown to be highly predictive of subsequent cardiovascular morbidity and mortality in hemodialysis (HD) patients. However, few studies have sought to determine the optimal AAC score cutoff values for the prediction of mortality among HD patients.Methods: This retrospective cohort study included 408 hemodialysis patients. AAC severity was quantified by the AAC score, which was measured by lateral lumbar radiography with complete follow-up data from January 2015 to December 2021. We used receiver operating characteristic (ROC) analysis to find the cutoff AAC value for the prediction of mortality. The Kaplan-Meier method was used to analyze all-cause and cardiovascular mortality.Results: The cutoff calcification score for the prediction of mortality was 4.5 (sensitivity, 67.3%; specificity, 70.4%). The patients with AAC scores above 4.5 had significantly higher all-cause (log-rank p < 0.001) and cardiovascular (log-rank p < 0.001) mortality rates than those with AAC scores below 4.5. In the multivariate regression analyses, an AAC score above 4.5 was a significant factor associated with all-cause mortality (HR: 2.079, p = 0.002) and cardiovascular mortality (HR: 2.610, p < 0.001).Conclusions: AAC is a reliable aortic calcification marker. HD patients with an AAC score > 4.5 have significantly elevated all-cause and cardiovascular mortality compared with those with an AAC score ≤ 4.5. AAC was a better predictor than cardiac valve calcification for mortality in HD patients.

A high platelet-to-lymphocyte ratio predicts all-cause mortality and cardiovascular mortality in maintenance hemodialysis patients.

PURPOSE: The aim of this study was to further assess whether the platelet-to-lymphocyte ratio (PLR) is independently associated with all-cause mortality and cardiovascular mortality in maintenance hemodialysis (MHD) patients. METHODS: From January 1, 2014, to December 31, 2014, patients undergoing regular hemodialysis in the Blood Purification Center of the General Hospital of Northern Theatre Command were retrospectively selected. A total of 303 MHD patients were enrolled in accordance with the inclusion and exclusion criteria. For each patient, the endpoint of follow-up was either death or December 31, 2021. The primary endpoints were all-cause and cardiovascular death. A receiver operating characteristic (ROC) curve was drawn to detect the predictive ability of PLR, and the optimal critical value of PLR was determined to be 107.57. Kaplan-Meier curves and Cox proportional analysis were used to assess the prognostic value of PLR. We used the same method to evaluate the correlation between the neutrophil-to-lymphocyte ratio (NLR) and the prognosis of MHD patients. RESULTS: At the end of follow-up, 128 MHD patients had progressed to all-cause death, and 73 MHD patients had progressed to cardiovascular death. In multivariate Cox regression, both the high PLR group and the high NLR group were independently associated with all-cause mortality (HR 2.608, 95% CI 1.579-4.306, p < .001 vs. HR 1.634, 95% CI 1.023-2.610, p = .04). Only high PLR expression was associated with cardiovascular mortality (HR 3.379, 95% CI 1.646-6.936, p = .001). CONCLUSIONS: High PLR levels can independently predict all-cause and cardiovascular mortality in MHD patients.

High sensitivity fiber cladding SPR strain sensor based on V-groove structure.

How to couple the light in the fiber core to the cladding is an urgent issue that need to be done for the fabrication of the fiber-cladding SPR sensor, and there is no report about the fiber SPR strain sensor. Hereby, we propose and demonstrate a high sensitivity fiber cladding SPR strain sensor based on V-groove structure. By CO2 laser, the V-groove is fabricated on the single-mode fiber, and the light in the fiber core is effectively coupled to the cladding. The cladding 2cm behind the V-groove is coated with sensing gold film, and a multimode fiber is spliced with the sensing probe to construct the novel fiber cladding SPR sensor. On the basis of the investigation of the effects of different V-groove depth, number and period on the performance of fiber SPR refractive index sensor, a high sensitivity strain SPR sensor is designed and fabricated by employing the characteristic that the V-groove will deform with strain. The testing results indicate that the average refractive index sensitivity of the sensor is 2896.4nm/RIU, and the strain wavelength sensitivity is 25.92pm/µÎµ which is much higher than that of the fiber interference and grating strain sensors, and the strain light intensity sensitivity is -4.4×10-4 a.u./µÎµ. The proposed fiber cladding SPR strain sensor has the advantages of simple structure and convenient manufacture, and can be used for working in a narrow space.

Multi-channel curvature sensor based on fiber bending loss wavelength and SPR.

Fiber Bragg gratings and interferometric curvature sensors are easily disturbed by axial strain and temperature, and cascaded multi-channel curvature sensing is difficult. In this letter, a curvature sensor based on fiber bending loss wavelength and the surface plasmon resonance (SPR) mechanism is proposed, which is insensitive to axial strain and temperature. In addition, fiber bending loss valley wavelength demodulation curvature improves the accuracy of bending loss intensity sensing. Experiments show that the bending loss valley of single-mode fiber with different cut-off wavelengths has different working bands which is combined with a plastic-clad multi-mode fiber SPR curvature sensor to realize a wavelength division multiplexing multi-channel curvature sensor. The bending loss valley wavelength sensitivity of single-mode fiber is 0.8474 nm/m-1, and the intensity sensitivity is 0.0036 a.u./m-1. The resonance valley wavelength sensitivity of the multi-mode fiber SPR curvature sensor is 0.3348 nm/m-1, and the intensity sensitivity is 0.0026 a.u./m-1. The proposed sensor is insensitive to temperature and strain, and the working band is controllable, which provides a new, to the best of our knowledge, solution for wavelength division multiplexing multi-channel fiber curvature sensing.

Cardiac valve calcification is associated with mortality in hemodialysis patients: a retrospective cohort study.

BACKGROUND: Cardiac valve calcification (CVC) is common in end-stage renal disease (ESRD). We investigated the effect of CVC on all-cause and cardiovascular (CV) mortality in maintenance hemodialysis (MHD) patients. METHODS: A retrospective cohort study was conducted on 434 hemodialysis patients who underwent echocardiography for qualitative assessment of valve calcification with complete follow-up data from January 1, 2014, to April 30, 2021. The baseline data between the CVC and non-CVC groups were compared. The Kaplan-Meier method was used to analyse all-cause and cardiovascular mortality. The association of CVC with all-cause and cardiovascular mortality was evaluated using multivariate Cox regression analysis. RESULTS: Overall, 27.2% of patients had mitral valve calcification (MVC), and 31.8% had aortic valve calcification (AVC) on echocardiography. Patients with CVC showed significantly higher all-cause (log-rank P < 0.001) and cardiovascular (log-rank P < 0.001) mortality rates than patients without CVC. In multivariate regression analyses, MVC (HR: 1.517, P = 0.010) and AVC (HR: 1.433, P = 0.028) were significant factors associated with all-cause mortality. MVC (HR: 2.340, P < 0.001) and AVC (HR: 2.410, P < 0.001) were also significant factors associated with cardiovascular mortality. CONCLUSIONS: MVC and AVC increased the risk of all-cause and cardiovascular mortality in MHD patients. Regular follow-up with echocardiography could be a useful method for risk stratification in MHD patients.

A Robust Regression Framework with Laplace Kernel-Induced Loss.

This work proposes a robust regression framework with nonconvex loss function. Two regression formulations are presented based on the Laplace kernel-induced loss (LK-loss). Moreover, we illustrate that the LK-loss function is a nice approximation for the zero-norm. However, nonconvexity of the LK-loss makes it difficult to optimize. A continuous optimization method is developed to solve the proposed framework. The problems are formulated as DC (difference of convex functions) programming. The corresponding DC algorithms (DCAs) converge linearly. Furthermore, the proposed algorithms are applied directly to determine the hardness of licorice seeds using near-infrared spectral data with noisy input. Experiments in eight spectral regions show that the proposed methods improve generalization compared with the traditional support vector regressions (SVR), especially in high-frequency regions. Experiments on several benchmark data sets demonstrate that the proposed methods achieve better results than the traditional regression methods in most of data sets we have considered.