Activation of TAS2R4 signaling attenuates podocyte injury induced by high glucose.

Bitter taste receptors (TAS2Rs) Tas2r108 gene possesses a high abundance in mouse kidney; however, the biological functions of Tas2r108 encoded receptor TAS2Rs member 4 (TAS2R4) are still unknown. In the present study, we found that mouse TAS2R4 (mTAS2R4) signaling was inactivated in chronic high glucose-stimulated mouse podocyte cell line MPC, evidenced by the decreased protein expressions of mTAS2R4 and phospholipase C ß2 (PLCß2), a key downstream molecule of mTAS2R4 signaling. Nonetheless, agonism of mTAS2R4 by quinine recovered mTAS2R4 and PLCß2 levels, and increased podocyte cell viability as well as protein expressions of ZO-1 and nephrin, biomarkers of podocyte slit diaphragm, in high glucose-cultured MPC cells. However, blockage of mTAS2R4 signaling with mTAS2R4 blockers γ-aminobutyric acid and abscisic acid, a Gßγ inhibitor Gallein, or a PLCß2 inhibitor U73122 all abolished the effects of quinine on NLRP3 inflammasome and p-NF-κB p65 as well as the functional podocyte proteins in MPC cells in a high glucose condition. Furthermore, knockdown of mTAS2R4 with lentivirus-carrying Tas2r108 shRNA also ablated the effect of quinine on the key molecules of the above inflammatory signalings and podocyte functions in high glucose-cultured MPC cells. In summary, we demonstrated that activation of TAS2R4 signaling alleviated the podocyte injury caused by chronic high glucose, and inhibition of NF-κB p65 and NLRP3 inflammasome mediated the protective effects of TAS2R4 activation on podocytes. Moreover, activation of TAS2R4 signaling could be an important strategy for prevention and treatment of diabetic kidney disease.

Single-tube, single-strip lateral flow assays utilizing loop-mediated isothermal amplification for simultaneous hepatitis B and C viral detection.

Globally, hepatitis B virus (HBV) affects over 250 million people, whereas hepatitis C virus (HCV) affects approximately 70 million people, posing major public health challenges. Despite the availability of vaccines and treatments, a lack of comprehensive diagnostic coverage has left many cases undiagnosed and untreated. To address the need for sensitive, specific, and accessible diagnostics, this study introduced a multiplex loop-mediated isothermal amplification assay with lateral flow detection for simultaneous HBV and HCV testing. This assay achieved exceptional sensitivity and was capable of detecting HBV and HCV concurrently in a single tube and on a single strip within 25 min, achieving the required clinical sensitivity (10 and 103 genomic copies/reaction for HBV and HCV, respectively). The method was validated in clinical samples of various viral genotypes, achieving an equivalent limit of detection. Additionally, a custom portable heating device was developed for field use. The assay developed here, capable of direct viral detection on the strip, shows promise in supplanting current methods that solely identify antibodies and necessitate additional qPCR for viral activity assessment. This economical and rapid assay aligns with point-of-care testing needs, offering significant advancements in enhancing viral hepatitis diagnostics in settings with limited resources.

Pleomorphic rhabdomyosarcoma of the vagina: A case report.

BACKGROUND: Rhabdomyosarcoma (RMS) of the vagina in postmenopausal women is an extremely rare malignant tumor that was originally described as a unique group of soft tissue sarcomas originating from primitive mesenchymal cells. It was first reported in postmenopausal women in 1970, and fewer than 50 postmenopausal patients have been reported to date. CASE SUMMARY: A 68-year-old multiparous female was admitted to the hospital on October 11, 2023, with the chief complaint of a mass causing vaginal prolapse with incomplete urination that had persisted for 4 months. The vaginal mass was approximately the size of a pigeon egg; after lying down, the vaginal mass retracted. Complete resection was performed, and vaginal pleomorphic RMS was diagnosed based on pathology and immunohistochemical staining features. The patient is currently undergoing chemotherapy. The present study also reviewed the clinical, histological, and immunohistochemical features and latest treatment recommendations for vaginal RMS. Any abnormal vaginal mass should be promptly investigated through pelvic examination and appropriate imaging. The current initial treatment for vaginal RMS is biopsy and primary chemotherapy. CONCLUSION: When surgery is planned for vaginal RMS, an organ-preserving approach should be considered.

A Coarse-Fine Collaborative Learning Model for Three Vessel Segmentation in Fetal Cardiac Ultrasound Images.

Congenital heart disease (CHD) is the most frequent birth defect and a leading cause of infant mortality, emphasizing the crucial need for its early diagnosis. Ultrasound is the primary imaging modality for prenatal CHD screening. As a complement to the four-chamber view, the three-vessel view (3VV) plays a vital role in detecting anomalies in the great vessels. However, the interpretation of fetal cardiac ultrasound images is subjective and relies heavily on operator experience, leading to variability in CHD detection rates, particularly in resource-constrained regions. In this study, we propose an automated method for segmenting the pulmonary artery, ascending aorta, and superior vena cava in the 3VV using a novel deep learning network named CoFi-Net. Our network incorporates a coarse-fine collaborative strategy with two parallel branches dedicated to simultaneous global localization and fine segmentation of the vessels. The coarse branch employs a partial decoder to leverage high-level semantic features, enabling global localization of objects and suppression of irrelevant structures. The fine branch utilizes attention-parameterized skip connections to improve feature representations and improve boundary information. The outputs of the two branches are fused to generate accurate vessel segmentations. Extensive experiments conducted on a collected dataset demonstrate the superiority of CoFi-Net compared to state-of-the-art segmentation models for 3VV segmentation, indicating its great potential for enhancing CHD diagnostic efficiency in clinical practice. Furthermore, CoFi-Net outperforms other deep learning models in breast lesion segmentation on a public breast ultrasound dataset, despite not being specifically designed for this task, demonstrating its potential and robustness for various segmentation tasks.

A deep learning framework for identifying and segmenting three vessels in fetal heart ultrasound images.

BACKGROUND: Congenital heart disease (CHD) is one of the most common birth defects in the world. It is the leading cause of infant mortality, necessitating an early diagnosis for timely intervention. Prenatal screening using ultrasound is the primary method for CHD detection. However, its effectiveness is heavily reliant on the expertise of physicians, leading to subjective interpretations and potential underdiagnosis. Therefore, a method for automatic analysis of fetal cardiac ultrasound images is highly desired to assist an objective and effective CHD diagnosis. METHOD: In this study, we propose a deep learning-based framework for the identification and segmentation of the three vessels-the pulmonary artery, aorta, and superior vena cava-in the ultrasound three vessel view (3VV) of the fetal heart. In the first stage of the framework, the object detection model Yolov5 is employed to identify the three vessels and localize the Region of Interest (ROI) within the original full-sized ultrasound images. Subsequently, a modified Deeplabv3 equipped with our novel AMFF (Attentional Multi-scale Feature Fusion) module is applied in the second stage to segment the three vessels within the cropped ROI images. RESULTS: We evaluated our method with a dataset consisting of 511 fetal heart 3VV images. Compared to existing models, our framework exhibits superior performance in the segmentation of all the three vessels, demonstrating the Dice coefficients of 85.55%, 89.12%, and 77.54% for PA, Ao and SVC respectively. CONCLUSIONS: Our experimental results show that our proposed framework can automatically and accurately detect and segment the three vessels in fetal heart 3VV images. This method has the potential to assist sonographers in enhancing the precision of vessel assessment during fetal heart examinations.

Single-Lung Ventilation in Infants for Surgical Repair of Coarctation of The Aorta Without Cardiopulmonary Bypass.

OBJECTIVE: To investigate the effect of improving the operative field and postoperative atelectasis of single-lung ventilation (SLV) in the surgical repair of coarctation of the aorta (CoA) in infants without the use of cardiopulmonary bypass (CPB). METHODS: This was a retrospective cohort study. The clinical data of 28 infants (aged 1 to 4 months, weighing between 4.2 and 6 kg) who underwent surgical repair of CoA without CPB from January 2019 to May 2022 were analyzed. Fourteen infants received SLV with a bronchial blocker (Group S), and the other 14 infants received routine endotracheal intubation and bilateral lung ventilation (Group R). RESULTS: In comparison to Group R, Group S exhibited improved exposure of the operative field, a lower postoperative atelectasis score (P<0.001), reduced prevalence of hypoxemia (P=0.01), and shorter durations of operation, mechanical ventilation, and ICU stay (P=0.01, P<0.001, P=0.03). There was no difference in preoperative information or perioperative respiratory and circulatory indicators before SLV, 10 minutes after SLV, and 10 minutes after the end of SLV between the two groups (P>0.05). Intraoperative bleeding, intraoperative positive end-expiratory pressure (PEEP), and systolic pressure gradient across the coarctation after operation were also not different between the two groups (P>0.05). CONCLUSION: This study demonstrates that employing SLV with a bronchial blocker is consistent with enhanced operative field, reduced operation duration, lower prevalence of intraoperative hypoxemia, and fewer postoperative complications during the surgical repair of CoA in infants without the use of CPB.

Evaluating prognosis in unexplained infertility.

IMPORTANCE: The diagnosis of unexplained infertility presents a dilemma as it signifies both uncertainty about the cause of infertility and the potential for natural conception. Immediate treatment of all would result in overtreatment. Prediction models estimating the likelihood of natural conception and subsequent live birth can guide treatment decisions. OBJECTIVE: To evaluate if in couples with unexplained infertility, prediction models are effective in guiding treatment decisions. EVIDENCE REVIEW: This review examines 25 studies that assess prediction models for natural conception in couples with unexplained infertility in terms of derivation, validation, and impact analysis. FINDINGS: The largest prediction models have been integrated in the synthesis models of Hunault, which includes female age and infertility duration, having been pregnant before and motile sperm percentage. Despite its limited discriminative capacity, this model demonstrates excellent calibration. Importantly, the impact of the Hunault model has been evaluated in randomized clinical trials, and shows that in couples with unexplained infertility and 12-month natural conception chances exceeding 30%, immediate treatment with intrauterine insemination (IUI) and controlled ovarian hyperstimulation is not better than expectant management for 6 months. Below the threshold of 30%, treatment with IUI is superior over expectant management, but immediate in vitro fertilization was not better than IUI. CONCLUSION: In couples with unexplained infertility and a good prognosis for natural conception, treatment can be delayed, whereas in couples with a poor prognosis, immediate treatment (with IUI-controlled ovarian hyperstimulation) is warranted. RELEVANCE: These data indicate that in couples with unexplained infertility, integration of prediction models into clinical decision making can optimize treatment selection and maximize fertility outcomes while limiting unnecessary treatment.

Cu-Catalyzed Direct Enantioselective Vinylogous Mannich Reaction between ß,γ-Unsaturated Pyrazoleamides and Ketimines.

A catalytic asymmetric vinylogous Mannich-type reaction between ß,γ-unsaturated amides and ketimines has been developed in excellent regio-, diastereo-, and enantioselectivities. The methodology provides an efficient approach to construct chiral homoallylic amines with a 3-amino-2-oxindole scaffold. Moreover, the transformations of the chiral products, including the removal of the pyrazole group or Boc group, the reduction of the C-C double bond, and Suzuki coupling, have been investigated.

Pigmentiphaga kullae CHJ604 improved the growth of tobacco by degrading allelochemicals and xenobiotics in continuous cropping obstacles.

Plant autotoxicity is considered to be one of the important causes of continuous cropping obstacles in modern agriculture, which accumulates a lot of allelochemicals and xenobiotics and is difficult to solve effectively. To overcome tobacco continuous obstacles, a strain Pigmentiphaga kullae CHJ604 isolated from the environment can effectively degrade these compounds in this study. CHJ604 strain can degrade 11 types of autotoxicity allelochemicals and xenobiotics (1646.22 µg/kg) accumulated in the soil of ten-years continuous cropping of tobacco. The 11 allelochemicals and xenobiotics significantly reduced Germination Percentage (GP), Germination Index (GI), and Mean Germination Time (MGT) of tobacco seeds, and inhibited the development of leaves, stems, and roots. These negative disturbances can be eliminated by CHJ604 strain. The degradation pathways of 11 allelochemicals and xenobiotics were obtained by whole genome sequence and annotation of CHJ604 strain. The heterologous expression of a terephthalate 1,2-dioxygenase can catalyze 4-hydroxybenzoic acid, 4-hydroxy-3-methoxybenzoic acid, 4-hydroxybenzaldehyde, and 4-hydroxy-3-methoxy-benzaldehyde, respectively. The phthalate 4,5-dioxygenase can catalyze phthalic acid, diisobutyl phthalate, and dibutyl phthalate. These two enzymes are conducive to the simultaneous degradation of multiple allelochemicals and xenobiotics by strain CHJ604. This study provides new insights into the biodegradation of autotoxicity allelochemicals and xenobiotics as it is the first to describe a degrading bacterium of 11 types of allelochemicals and xenobiotics and their great potential in improving tobacco continuous obstacles.

Magnetic resonance imaging features for differentiating tuberculous from pyogenic spondylitis: a meta-analysis.

OBJECTIVE: To perform a meta-analysis comparing the MRI features of tuberculous and pyogenic spondylitis, using histopathological results and/or blood culture as the standard reference. MATERIALS AND METHODS: PubMed, Embase, Web of Science, and Cochrane Library were searched for English-language studies on the MRI features of tuberculous and pyogenic spondylitis published between January 2010 and February 2023. Risk for bias and concerns regarding applicability were assessed using the Quality Assessment of Diagnostic Accuracy Studies-2 tool. Pooled MRI features' proportions were calculated using a bivariate random-effects model. RESULTS: Thirty-two studies met the inclusion criteria: 21 for tuberculous spondylitis, three for pyogenic spondylitis, and eight for both. Of the nine informative MRI features comparing tuberculous spondylitis to pyogenic spondylitis, involvement of ≥ 2 vertebral bodies (92% vs. 88%, P = .004), epidural extension (77% vs. 25%, P < .001), paravertebral collection (91% vs. 84%, P < .001), subligamentous spread (93% vs. 24%, P < .001), thin and regular abscess wall (94% vs. 18%, P < .001), vertebral collapse (68% vs. 24%, P < .001), and kyphosis (39% vs. 3%, P < .01) were more suggestive of tuberculous spondylitis, while disc signal change (82% vs. 95%, P < .001) and disc height loss (22% vs. 59%, P < .001) were more suggestive of pyogenic spondylitis. CONCLUSION: Involvement of ≥ 2 vertebral vertebral bodies, soft tissue attribution, thin and regular abscess wall, vertebral collapse, and kyphosis were MRI features more common in tuberculous spondylitis, while disc signal change and height loss were more common in pyogenic spondylitis.

Single-Lung Ventilation in Infants for Surgical Repair of Coarctation of The Aorta Without Cardiopulmonary Bypass

ABSTRACT Objective: To investigate the effect of improving the operative field and postoperative atelectasis of single-lung ventilation (SLV) in the surgical repair of coarctation of the aorta (CoA) in infants without the use of cardiopulmonary bypass (CPB). Methods: This was a retrospective cohort study. The clinical data of 28 infants (aged 1 to 4 months, weighing between 4.2 and 6 kg) who underwent surgical repair of CoA without CPB from January 2019 to May 2022 were analyzed. Fourteen infants received SLV with a bronchial blocker (Group S), and the other 14 infants received routine endotracheal intubation and bilateral lung ventilation (Group R). Results: In comparison to Group R, Group S exhibited improved exposure of the operative field, a lower postoperative atelectasis score (P<0.001), reduced prevalence of hypoxemia (P=0.01), and shorter durations of operation, mechanical ventilation, and ICU stay (P=0.01, P<0.001, P=0.03). There was no difference in preoperative information or perioperative respiratory and circulatory indicators before SLV, 10 minutes after SLV, and 10 minutes after the end of SLV between the two groups (P>0.05). Intraoperative bleeding, intraoperative positive end-expiratory pressure (PEEP), and systolic pressure gradient across the coarctation after operation were also not different between the two groups (P>0.05). Conclusion: This study demonstrates that employing SLV with a bronchial blocker is consistent with enhanced operative field, reduced operation duration, lower prevalence of intraoperative hypoxemia, and fewer postoperative complications during the surgical repair of CoA in infants without the use of CPB.

Determination of bone marrow cell morphology in rat.

The skeletal system of the body is responsible for important functions in the human body. In addition to causing movement, this system also plays a role in the production of blood cells and fat storage. Bone marrow is a spongy or viscous tissue that fills the inside of the body's bones. The basic structure of bone marrow is of two types. Red bone marrow and yellow bone marrow. Red bone marrow contains blood stem cells that can become red blood cells, white blood cells, or platelets. Yellow bone marrow is made mostly of fat and contains stem cells that can turn into cartilage, fat, or bone cells. Human bone marrow mesenchymal stem cells (HBMSCs) are widely used cell sources for clinical bone regeneration. Achieving a therapeutic effect depends on the osteogenic differentiation potential of the stem cells. The purpose of judging the morphology of bone marrow cells is to diagnose leukemia or bone marrow disorders, determine the cause of severe anemia or thrombocytopenia and low platelet count, identify abnormal chromosomes to prevent hereditary diseases, and plan their treatment. In this study, we examined the morphological characteristics of bone marrow cells, mesenchyme cells, and osteoblasts in a laboratory environment. The results of the morphological investigations showed changes such as the change of the position of the nucleus and the rounding of the cytoplasm in the differentiated cells compared to the mesenchyme cells. Therefore, to identify and diagnose as many of these cells as possible, molecular genetic techniques such as network algorithms and fluorescence staining can be used for hematological and cytomorphological investigations.

Low polarization-sensitive ultra-broadband anti-reflection coatings with improved reliability.

Broader spectra, lower reflectivity and higher reliability are the performance requirements for broadband antireflective (BBAR) films. In this work, a BBAR film structure was proposed, which maintains extremely low reflectivity, ultra-wide spectra, low polarization sensitivity and practical reliability. The BBAR film consists of a dense multilayer interference stack on the bottom and a nano-grass-like alumina (NGLA) layer with a gradient low refractive index distribution on the top. The film was deposited by atomic layer deposition, while the NGLA layer was formed by means of a hot water bath on Al2O3 layer. The top NGLA layer has extremely high porosity and ultra-low refractive index, along with extremely fragile structure. To surmount the fragility of NGLA layer, a sub-nano layer of SiO2 was grown by atomic layer deposition to solidify its structure and also to adjust the refractive index with different thicknesses of SiO2. Finally, in the wide wavelength range of 400-1100 nm, the average transmittance of the double-sided coated fused quartz reaches 99.2%. The absorption, light scattering, reliability and polarization characteristics of BBAR films were investigated. An optimized BBAR film with low polarization-sensitivity and improved reliability was realized, which should be potentially promising for application in optical systems.

A deep learning-based approach for rectus abdominis segmentation and distance measurement in ultrasonography.

Introduction: Diastasis recti abdominis (DRA) is a common condition in postpartum women. Measuring the distance between separated rectus abdominis (RA) in ultrasound images is a reliable method for the diagnosis of this disease. In clinical practice, the RA distance in multiple ultrasound images of a patient is measured by experienced sonographers, which is time-consuming, labor-intensive, and highly dependent on experience of operators. Therefore, an objective and fully automatic technique is highly desired to improve the DRA diagnostic efficiency. This study aimed to demonstrate the deep learning-based methods on the performance of RA segmentation and distance measurement in ultrasound images. Methods: A total of 675 RA ultrasound images were collected from 94 postpartum women, and were split into training (448 images), validation (86 images), and test (141 images) datasets. Three segmentation models including U-Net, UNet++ and Res-UNet were evaluated on their performance of RA segmentation and distance measurement. Results: Res-UNet model outperformed the other two models with the highest Dice score (85.93% ± 0.26%), the highest MIoU score (76.00% ± 0.39%) and the lowest Hausdorff distance (21.80 ± 0.76 mm). The average physical distance between RAs measured from the segmentation masks generated by Res-UNet and that measured by experienced sonographers was only 3.44 ± 0.16 mm. In addition, these two measurements were highly correlated with each other (r = 0.944), with no systematic difference. Conclusion: Deep learning model Res-UNet has good reliability in RA segmentation and distance measurement in ultrasound images, with great potential in the clinical diagnosis of DRA.

Optimal Frequency of Hepatitis C Virus (HCV) RNA Testing for Detection of Acute HCV Infection Among At-risk People With Human Immunodeficiency Virus: A Multicenter Study.

Using 3-stage pooled-plasma hepatitis C virus (HCV) RNA testing performed quarterly among at-risk people with human immunodeficiency virus (PWH), we found that if testing had been performed every 6 or 12 months, 58.6%-91.7% of PWH who recently acquired HCV would be delayed for diagnosis and might contribute to onward HCV transmission with longer durations.

Optimization of optical and structural properties of Al2O3/TiO2 nano-laminates deposited by atomic layer deposition for optical coating.

Optimizing the atomic layer deposition (ALD) process of films is particularly important in preparing multilayer interference films. In this work, a series of Al2O3/TiO2 nano-laminates with a fixed growth cycle ratio of 1:10 were deposited on Si and fused quartz substrates at 300 °C by ALD. The optical properties, crystallization behavior, surface appearance and microstructures of those laminated layers were systematically investigated by spectroscopic ellipsometry, spectrophotometry, X-ray diffraction, atomic force microscope and transmission electron microscopy. By inserting Al2O3 interlayers into TiO2 layers, the crystallization of the TiO2 is reduced and the surface roughness becomes smaller. The TEM images show that excessively dense distribution of Al2O3 intercalation leads to the appearance of TiO2 nodules, which in turn leads to increased roughness. The Al2O3/TiO2 nano-laminate with a cycle ratio 40:400 has relatively small surface roughness. Additionally, oxygen-deficient defects exist at the interface of Al2O3 and TiO2, leading to evident absorption. Using O3 as an oxidant instead of H2O for depositing Al2O3 interlayers was verified to be effective in reducing absorption during broadband antireflective coating experiments.

Segmentation of beating embryonic heart structures from 4-D OCT images using deep learning.

Optical coherence tomography (OCT) has been used to investigate heart development because of its capability to image both structure and function of beating embryonic hearts. Cardiac structure segmentation is a prerequisite for the quantification of embryonic heart motion and function using OCT. Since manual segmentation is time-consuming and labor-intensive, an automatic method is needed to facilitate high-throughput studies. The purpose of this study is to develop an image-processing pipeline to facilitate the segmentation of beating embryonic heart structures from a 4-D OCT dataset. Sequential OCT images were obtained at multiple planes of a beating quail embryonic heart and reassembled to a 4-D dataset using image-based retrospective gating. Multiple image volumes at different time points were selected as key-volumes, and their cardiac structures including myocardium, cardiac jelly, and lumen, were manually labeled. Registration-based data augmentation was used to synthesize additional labeled image volumes by learning transformations between key-volumes and other unlabeled volumes. The synthesized labeled images were then used to train a fully convolutional network (U-Net) for heart structure segmentation. The proposed deep learning-based pipeline achieved high segmentation accuracy with only two labeled image volumes and reduced the time cost of segmenting one 4-D OCT dataset from a week to two hours. Using this method, one could carry out cohort studies that quantify complex cardiac motion and function in developing hearts.

Traditional Chinese Medicine constitution types of high-normal blood pressure: A meta-analysis.

Objective: We determined the distribution of constitutional types of high-normal blood pressure in Traditional Chinese Medicine (TCM) and provided evidence for the prevention of high-normal blood pressure and hypertension. Methods: Eight digital databases were searched from January 2011 to November 2022, including PubMed, EMBASE, Web of Science, EBSCOhost, CNKI, CBM, Wangfang, and CQVIP. We performed a meta-analysis with the random-effects model or fixed-effects model to describe the distribution of constitutional types of high-normal blood pressure in TCM. The studies were assessed based on heterogeneity testing and the potential for publication bias. The meta-analysis was performed on Stata software 15.0. Results: A total of 17 studies with 8118 participants were included in this meta-analysis. The proportion of the biased constitution (82.3%; 95% CI: 75.6%-89.1%, p < 0.001) was higher than the balanced constitution (17.3%; 95% CI: 10.7-23.8%, p < 0.001). Phlegm-dampness constitution, Yin-deficiency constitution, and damp-heat constitution accounted for 16.0% (95%CI: 10.5-21.5%, p < 0.001), 14.8% (95% CI: 11.0-18.6%, p < 0.001), 11.3% (95% CI: 8.0-14.5%, p < 0.001) of the total high-normal blood pressure cases, respectively. The subgroup analyses performed that region, age and gender were positively associated with the distribution of constitution types of high-normal blood pressure in TCM. Compared with the general population, the risk of high-normal blood pressure in people with the phlegm-dampness constitution, Yin-deficiency constitution, and blood-stasis constitution was 2.665 (95%CI: 2.286-3.106, p < 0.001), 2.378 (95%CI: 1.197-4.724, p = 0.013), 1.965 (95%CI: 1.634-2.363, p < 0.001) times of the general population, respectively. Meanwhile, the risk of high-normal blood pressure was lower in people with a balanced constitution (0.248, 95%CI: 0.165-0.372, p < 0.001). Conclusions: Phlegm-dampness constitution, Yin-deficiency constitution, and damp-heat constitution were the common constitution types of high-normal blood pressure. There might also be differences in the distribution characteristics of TCM constitution among people with high-normal blood pressure in different regions, ages, and genders. Finally, a balanced constitution might be a protective factor for hypertensive people.

Hybrids of ß-triketone and monoterpenoids from the peels of Callistemon viminalis.

Phytoconstituents of the peels of Callistemon viminalis has been investigated for the first time. As a result, two pair of diastereomers of hybrids of ß-triketone and α-phellandrene, named viminalisones A-B (1-2) and viminalisones CD (3-4), and three known analogues were obtained. Their structures and absolute configurations were elucidated through a combination of the analysis of their MS data, NMR spectra, single-crystal X-ray diffraction, and their experimental and calculated electronic circular dichroism (ECD) spectra. All isolates were evaluated for their antimicrobial activities against Botrytis cinerea and Cutibacterium acnes. Meroterpenoid 7 exhibited antibacterial activity against Botrytis cinerea with a MIC value of 0.256 mg/mL.

Reliability analysis of a novel measurement system for quantifying human skin color.

Background: Precision is crucial in determining the appropriate procedure for implementing further trials. We conducted a study to explore the reliability of a novel measuring system for human skin color. Methods: The novel skin color measuring system was used to capture the skin color of four volunteers (2 males and 2 females) from the same location on each subject by the same operator. The measurement was repeated for different poses and instrument factors (camera and shooting protocol) in the red, green, and blue (RGB) system. The average color depth in each image was calculated and converted from 0 to 255. The spread of measures and the Bland-Altman plot was displayed to determine each variance source's random error, with the interclass correlation coefficients applied to reflect the reliability. Result: The RGB color depth in the experiment ranged from 190, 152, and 122 to 208, 170, and 142. The 95% confidential interval of the differences from the means in RGB colors for the different protocols were ±2.8, ±2.6, and ±2.1, respectively. The largest variation in the replicate trials was observed when subjects were in a supine position (standard deviation: 2). The interclass correlation coefficients were greater than 90%, suggesting that the developed system is highly precise. Conclusion: This study demonstrated that the developed device could stably and reliably detect human skin color across different common sources of variation, and thus could be applied clinically to explore relationships between health/disease and skin color changes.