The Causal Relationship Between Immune Cells and Infertility: A Mendelian Randomisation Study.

OBJECTIVE: Infertility has emerged as a significant global public health concern, with a multitude of complex underlying causes. Epidemiological evidence indicates that immunological factors are significant contributors to the aetiology of infertility. However, previous studies on the relationship between immune inflammation and infertility have yielded inconclusive results. METHODS: Mendelian randomisation (MR) is an emerging statistical method that employs exposure-related genetic variation as an instrumental variable (IV) to infer causal relationships between immune cells and infertility by modelling the principle of random assignment in Mendelian genetics. In this study, MR was employed to assess the causal relationship between 731 immune cell signatures and infertility. The data utilized in this study were obtained from publicly available genome-wide association studies (GWAS) and validated IVs, which were employed to fulfil the essential assumptions of MR analysis. RESULTS: The Mendelian randomisation analysis revealed a total of 27 statistically significant immune cell phenotypes out of 731. The risk factor with the largest odds ratio (OR) was CD28- CD25++ CD8+ %T cell [OR, 1.21; 95% confidence interval (CI), 1.04-1.42], while the protective factor with the largest OR was activated and resting Treg AC (OR, 0.89; 95% CI, 0.82-0.97). CONCLUSION: The present study has demonstrated a correlation between certain characteristics of immune cells and female infertility. These results provide clues for further research into the immune mechanisms of infertility and may inform the development of novel therapeutic strategies.

Herb-drug interaction study of Yiqi Fumai lyophilized injection (YQFM) on pharmacokinetics of aspirin, nifedipine, and clopidogrel in rats.

Yiqi Fumai lyophilized injection (YQFM), a compound traditional Chinese medicine prescription derived from "Sheng Mai Powder," is approved for the treatment of cardiovascular diseases. YQFM is usually prescribed in combination with some Western medicines to treat patients, such as aspirin, nifedipine, and clopidogrel. However, the herb-drug interactions (HDIs) of YQFM are still unclear. We determined the effect of YQFM on drug metabolism-related CYP450 enzymes by in vitro assays. And the effects of YQFM on the pharmacokinetics of aspirin, nifedipine, or clopidogrel were analyzed in rats, as well as the effect of YQFM on the prothrombin time of aspirin or clopidogrel, to evaluate the safety and efficacy of co-administration. Our study indicated that the clinical dose of YQFM did not significantly influence the relevant CYP450 isoenzymes. Besides, YQFM had no effect on the pharmacokinetics of aspirin, nifedipine, or clopidogrel single and multiple administrations in rats. In pharmacodynamics study, YQFM also had no impact on prothrombin time of aspirin or clopidogrel. Based on the results of pharmacogenomics, pharmacokinetics, and pharmacodynamics, the HDIs of YQFM have a good safety profile, and the combination with the above three drugs might have synergistic effects due to the different efficacy of YQFM-quality markers.

Genome-wide identification and expressional analysis of carotenoid cleavage oxygenase (CCO) gene family in Betula platyphylla under abiotic stress.

BACKGROUND: Carotenoid cleavage oxygenases (CCOs) are a group of enzymes that catalyze the oxidative cleavage of carotenoid molecules. These enzymes widely exist in plants, fungi, and certain bacteria, and are involved in various biological processes. It would be of great importance and necessity to identify CCO members in birch and characterize their responses upon abiotic stresses. RESULTS: A total of 16 BpCCOs, including 8 BpCCDs and 8 BpNCEDs were identified in birch, and phylogenetic tree analysis showed that they could be classified into six subgroups. Collinearity analysis revealed that BpCCOs have the largest number of homologous genes in Gossypium hirsutum and also have more homologous genes in other dicotyledons. In addition, promoter analysis revealed that the promoter regions of BpCCOs contained many abiotic stress-related and hormone-responsive elements. The results of qRT-PCR showed that most of the BpCCOs were able to respond significantly to ABA, PEG, salt and cold stresses. Finally, the prediction of the interacting proteins of BpCCOs by STRING revealed several proteins that may interact with BpCCOs and be involved in plant growth and development/abiotic stress processes, such as HEC1 (bHLH), ATABA1, ATVAMP714, etc. CONCLUSION: In this study, the CCO members were identified in birch in a genome-wide scale. These results indicate that BpCCO genes may play important roles in the abiotic stress responses of birch plants.

The role of gut microbiota involved in prostate microenvironment and symptoms improvement in chronic prostatitis/chronic pelvic pain syndrome patients treated with low-intensity extracorporeal shock wave.

BACKGROUND: Low-intensity extracorporeal shockwave therapy (Li-ESWT) is emerging as a promising and safe treatment for Chronic prostatitis/chronic pelvic pain syndrome (CP/CPPS). In this study, we aimed to investigate the role of the gut microbiota involved in the prostate microenvironment and symptom improvement during the Li-ESWT for CP/CPPS patients. METHODS: CP/CPPS patients not taking antibiotics or other treatments were included. NIH-Chronic Prostatitis Symptom Index (NIH-CPSI), International Prostate Symptom Score (IPSS), and International Index of Erectile Function (IIEF-5) were used to evaluate the effectiveness of Li-ESWT at the end of treatment. Visual analogue scale/score was used to evaluate the pain during procedure. Stool and semen samples were collected before and after Li-ESWT. Shotgun metagenomics analyzed gut microbiota, while ELISA and other diagnostic kits detected biochemical changes in seminal plasma. RESULT: Of the 60 enrolled patients, 52 completed treatment. Li-ESWT response rate was 78.8% (41/52) at end of treatment. Among responders, the subitems of the NIH-CPSI; IPSS; and IIEF-5 scores improved significantly, and the seminal plasma analysis showed decreased TNF-a and MDA levels and increased SOD and Zn2+ levels posttreatment. Gut microbiome analysis indicated that posttreatment, both α and ß diversity increased, and the abundance of certain specific species significantly increased. Fifty-eight pathways significantly enriched posttreatment, notably in branched-chain amino acid synthesis and butyrate synthesis. The abundance of several specific species was found to be significantly higher in non-responders than responders. Among responders, at the species level, some bacteria associated with NIH-CPSI and its subscales, IPSS, IIEF-5, and prostate microenvironment markers (TNF-a, MDA, Zn2+, and SOD) were identified. CONCLUSIONS: Our study demonstrates for the first time that Li-ESWT improves the prostate microenvironment and gut microbiota in CP/CPPS patients. Treatment nonresponse may be associated with a high abundance of specific pathogens before treatment. The gut microbiota could have a significant impact on Li-ESWT response and the prostate microenvironment.

Personalized mRNA vaccine combined with PD-1 inhibitor therapy in a patient with advanced esophageal squamous cell carcinoma.

Therapeutic cancer vaccines are valuable tools for educating the immune system to fight tumors precisely. Cancer cells are characterized with genetic instability and abundant somatic mutations, leading to the production of tumor specific antigens (TSA) called neoantigens. The main goal of neoantigen-based cancer vaccines is to activate the immune system and elicit effective tumor-specific T-cell responses. There have been no reports of advanced esophageal squamous cell carcinoma (ESCC) cases achieving partial remission after personalized mRNA (messenger RNA) vaccine treatment. As personalized neoantigen-based immunotherapies are emerging, here we report a 67-year-old male patient diagnosed with ESCC and multiple enlarged mediastinal lymph nodes, where mRNA vaccines were used for the first time. Tissue samples from the recurrence focus in the esophagus were subjected to whole transcriptome sequencing. The neoantigens were identified by bioinformatics analyses. The top 20 neoantigens were selected to compose the polyneoantigen vaccine, which were administered at 1 mg every 3 weeks for 4 cycles in combination with a PD-1 (programmed death-1) inhibitor. The patient was boosted with a single dose of the PD-1 inhibitor 8 weeks after the 4th cycle. In addition, immune responses were evaluated before and after the 4 cycles of vaccine therapy, and the lesions were evaluated by imaging examination. Our results revealed that neoantigen-based vaccines significantly activated the tumour-specific immune response. TCR (T cell receptor) V-J pairing analysis showed an increase in the abundance of oligoclonal TCRs, indicating improved homogeneity. No grade 3 or higher drug-related adverse events were observed, except for grade 4 thrombocytopenia caused by PD-1 inhibitor treatment. The patient achieved a partial response (PR), with a progression-free survival (PFS) time of 457 days, the OS (overall survival) time of 457 days, and DOR (duration of response) of 377 days. Our report suggests that combining the personalized mRNA vaccine therapy with PD-1 blockade therapy may be an effective treatment strategy for patient with advanced esophageal cancer. However, further clinical trials are necessary to confirm the efficacy and safety of personalized neoantigen-based immunotherapies in the treatment of advanced ESCC. This trial is registered with ClinicalTrials.gov, NCT03468244 on March 16, 2018, and is now complete.

Gender-specific association of multiple risk factors with neonatal moderate or severe hypoxic ischemic encephalopathy: a cross-sectional study.

BACKGROUND: Neonatal hypoxic ischemic encephalopathy (HIE) leads to different degrees of neurological sequelae. The incidence of HIE is relatively high, and the causal pathways leading to HIE are still controversial. This study aimed to investigate the risk factors associated with HIE comparing differences between genders. METHODS: A cross-sectional study of 196 neonates diagnosed with HIE was conducted. Based on the severity of clinical findings, HIE was classified as mild, moderate or severe. For mild HIE, the outcomes were relatively less severe, whereas moderate to severe HIE could suffer serious consequences, including death, cerebral palsy, epilepsy. T-test, chi-square test and logistic regression were used to analyze data. RESULTS: Among the 196 neonatal HIE, 39 (19.9%) had mild HIE,157 (80.1%) had moderate or severe HIE. The logistic regression analysis showed that gender was a specific stratified characteristic of moderate or severe HIE. In the male neonates group, emergency cesarean section, abnormal labor stage and amniotic fluid contamination were associated with an increased risk of moderate or severe HIE, where the adjusted odds ratios (ORs) were 4.378 (95% confidence intervals (CI):2.263-6.382), 2.827 (95% CI:1.743-5.196) and 2.653 (95%CI:1.645-3.972), respectively. As expected, a significant additive effect was found in the interactions between emergency cesarean section and abnormal labor stage, as well as between emergency cesarean section and amniotic fluid contamination, where the relative excess risk of interaction was 2.315(95%CI:1.573-3.652) and 1.896(95%CI: 1.337-3.861) respectively. CONCLUSION: Emergency cesarean section, abnormal labor stage and amniotic fluid contamination were risk factors of moderate or severe HIE in neonates, and the associations were significantly correlated with male gender. Notably, coinciding incidences of emergency cesarean section with abnormal labor stage, or emergency cesarean section with amniotic fluid contamination were possibly synergistic in increasing the risk of moderate or severe HIE. These findings may assist clinicians in strengthening their awareness on risks affecting HIE and help reduce the incidence of moderate or severe HIE in clinical practice.

Hydrophobic interaction chromatography in continuous flow-through mode for product-related variant removal.

Product-related impurities are challenging to remove during monoclonal antibody (mAb) purification process due to molecular similarity. Frontal chromatography on hydrophobic interaction resins has demonstrated its capability to effectively remove such impurities. However, process improvements geared towards purity level comes as a trade-off with the yield loss. In this work, we present a hydrophobic interaction chromatography process using multicolumn continuous chromatography (MCC) concept and frontal analysis to remove a high prevalence product related impurity. This design uses a two-column continuous system where the two columns are directly connected during product chase step to capture product wash loss without any in-process adjustment. This polish MCC operation resulted in a 10 % increase in yield while maintaining 99 % purity, despite the presence of 20 % product-related impurities in the feed material. One challenge associated with polish MCC design is that the accumulation of the impurities renders a non-steady state recycling. To surmount this issue and ensure a robust process, a mechanistic model was developed and validated to predict multicomponent breakthrough. This model was capable to predict multiple cycle behavior and accounts for increased impurity concentration. Assisted by the model, the optimized operation parameters and conditions can be determined to account for variation in product load quality. The simulated results demonstrate an effective doubling of productivity compared to conventional batch chromatography.

Fluorescent and polarity-switchable photoelectrochemical dual-mode homogeneous sensing platform for ultrasensitive kanamycin detection based on EXO III-driven signal amplification.

A fluorescent and photoelectrochemical (PEC) dual-mode biosensor based on target biorecognition-triggered cyclic amplification was constructed for Kana detection. With the assistance of the catalyzed reaction of exonuclease III, a Kana-aptamer DNA duplex was designed for conducting the cyclic release of G-rich DNA sequence as well as output DNA S2. The released G-rich sequence triggers the fluorescence (FL) of thioflavin T (ThT), the intensity of which is positively correlated with the Kana concentration. The linear range is 0.2 to 30 nM, and the detection limit reaches 0.07 nM. Simultaneously, the released output DNA S2 was captured by Fe3O4@CdTe-probe ssDNA and then combined with methylene blue to realize the transduction of polarity-reversed PEC signal, leading to the sensitive detection of Kana with a linear range of 0.2 to 40 nM and a calculated detection limit of 0.2 nM. The outstanding performance endows the dual-mode biosensor a promising prospect for practical application.

Determination of Free Fatty Acids in Krill Oil during Storage Based on NH2-MMS.

In this study, amino-modified micro-mesoporous silica (NH2-MMS) with hierarchical pores was prepared by modifying micro-mesoporous silica ZSM-5 with 3-aminopropyltriethoxysilane and used as an adsorbent in solid-phase extraction to analyze free fatty acids (FFAs) in krill oil during storage for an initial time. The Brunner Emmet Teller adsorption experiment and Fourier transform infrared spectroscopy demonstrate that NH2-MMS, with a hierarchical pore structure, was successfully synthesized. The adsorption experiments, especially static adsorption, indicate that the absorption ability of the prepared NH2-MMS, with a hierarchical pore structure, toward FFAs was better than that of traditional amino-modified mesoporous silica (SBA-15) with a mesoporous structure at all temperature and concentrations. Fairly low limits of detection (0.06-0.15 µg g-1), acceptable recoveries (85.16-94.31%), and precision (0.08-5.26%) were attained under ideal circumstances. Moreover, NH2-MMS has the advantages of easy preparation and being environmentally friendly. As a result, this method offers an alternative to the current method for determining FFAs in different kinds of oil specimens.

The Proteomic Landscape of Monocytes in Response to Colorectal Cancer Cells.

Colorectal cancer (CRC) involves a complex interaction between tumor cells and immune cells, notably monocytes, leading to immunosuppression. This study explored these interactions using in vitro coculture systems of THP-1 cells and CRC cell lines, employing quantitative proteomics to analyze protein changes in monocytes. Multiple analytical methods were utilized to delineate the altered proteomic landscape, identify key proteins, and their associated functional pathways for comprehensive data analysis. Differentially expressed proteins (DEPs) were selected and validated by cross-referencing them with publicly available TCGA and GEO data sets to explore their potential clinical significance. Our analysis identified 161 up-regulated and 130 down-regulated DEPs. The enrichment results revealed impairments in adhesion and innate immune functions in monocytes, potentially facilitating cancer progression. The down-regulation of FN1, THSB1, and JUN may contribute to these impairments. Furthermore, the overexpression of ADAMTSL4, PRAM1, GPNMB, and NPC2 on monocytes was associated with unfavorable prognostic outcomes in CRC patients, suggesting potential biomarkers or therapeutic targets. This study illustrated the proteomic landscape of monocytes in response to CRC cells, providing clues for future investigations of the crosstalk between cancer cells and monocytes within the tumor microenvironment.

Comprehensive diagnostic model for osteosarcoma classification using CT imaging features.

Objective: The main objective of this study was to create and assess a detailed diagnostic model with an optimizing feature selection algorithm that combines computed tomography (CT) imaging characteristics, demographic information, and genetic markers to enhance the accuracy of benign and malignant classification of osteosarcoma. This research seeks to enhance the early identification and categorization of benign and malignant of osteosarcoma, ultimately enabling more personalized and efficient treatment approaches. Methods: Data from 225 patients diagnosed with osteosarcoma at two different medical institutions between June 2018 and June 2021 were gathered for this research study. A novel feature selection approach that combined Principal Component Analysis (PCA) with Improved Particle Swarm Optimization (IPSO) was utilized to analyze 1743 image-derived features. The performance of the resulting model was evaluated using metrics such as area under the receiver operating characteristic curve (AUC), accuracy (ACC), sensitivity (SEN), and specificity (SPE), and compared to models developed using conventional feature selection methods. Results: The proposed model showed promising predictive performance with an AUC of 0.87, accuracy of 0.80, sensitivity of 0.75, and specificity of 0.85. These results suggest improved predictive ability compared to models built using traditional feature selection techniques, particularly in terms of accuracy and specificity. However, there is room for improvement in enhancing sensitivity. Conclusion: Our study introduces a novel predictive model for distinguishing between benign and malignant osteosarcoma., emphasizing its potential significance in clinical practice. Through the utilization of CT imaging features, our model shows improved accuracy and specificity, marking progress in the early detection and classification of osteosarcoma as either benign or malignant. Future investigations will concentrate on enhancing the model's sensitivity and validating its effectiveness on a larger dataset, aiming to boost its clinical relevance and support personalized treatment approaches for osteosarcoma.

Bispecific CAR-T cells targeting CD19/20 in patients with relapsed or refractory B cell non-Hodgkin lymphoma: a phase I/II trial.

Non-Hodgkin lymphoma (NHL) is a common malignancy in the hematologic system, and traditional therapy has limited efficacy for people with recurrent/refractory NHL (R/R NHL), especially for patients with diffuse large B cell lymphoma (DLBCL). Chimeric antigen receptor (CAR) T-cell therapy is a novel and effective immunotherapy strategy for R/R hematopoietic malignancies, but relapses can occur due to the loss of CAR-T cells in vivo or the loss of antigen. One strategy to avoid antigen loss after CAR-T cell therapy is to target one more antigen simultaneously. Tandem CAR targeting CD19 and CD22 has demonstrated the reliability of tandem CAR-T cell therapy for R/R B-ALL. This study explores the therapeutic potential of tandem CD19/20 CAR-T in the treatment of R/R B cell NHL. The efficacy and safety of autologous CD19/20 CAR-T cells in eleven R/R B cell NHL adult patients were evaluated in an open-label, single-arm trial. Most patients achieved complete response, exhibiting the efficacy and safety of tandem CD19/20 CAR-T cells. The TCR repertoire diversity of CAR-T cells decreased after infusion. The expanded TCR clones in vivo were mainly derived from TCR clones that had increased expression of genes associated with immune-related signaling pathways from the infusion product (IP). The kinetics of CAR-T cells in vivo were linked to an increase in the expression of genes related to immune response and cytolysis/cytotoxicity.

Improving image quality and in-stent restenosis diagnosis with high-resolution "double-low" coronary CT angiography in patients after percutaneous coronary intervention.

Objective: This study aims to investigate the image quality of a high-resolution, low-dose coronary CT angiography (CCTA) with deep learning image reconstruction (DLIR) and second-generation motion correction algorithms, namely, SnapShot Freeze 2 (SSF2) algorithm, and its diagnostic accuracy for in-stent restenosis (ISR) in patients after percutaneous coronary intervention (PCI), in comparison with standard-dose CCTA with high-definition mode reconstructed by adaptive statistical iterative reconstruction Veo algorithm (ASIR-V) and the first-generation motion correction algorithm, namely, SnapShot Freeze 1 (SSF1). Methods: Patients after PCI and suspected of having ISR scheduled for high-resolution CCTA (randomly for 100 kVp low-dose CCTA or 120 kVp standard-dose) and invasive coronary angiography (ICA) were prospectively enrolled in this study. After the basic information pairing, a total of 105 patients were divided into the LD group (60 patients underwent 100 kVp low-dose CCTA reconstructed with DLIR and SSF2) and the SD group (45 patients underwent 120 kVp standard-dose CCTA reconstructed with ASIR-V and SSF1). Radiation and contrast medium doses, objective image quality including CT value, image noise (standard deviation), signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) for the aorta, left main artery (LMA), left ascending artery (LAD), left circumflex artery (LCX), and right coronary artery (RCA) of the two groups were compared. A five-point scoring system was used for the overall image quality and stent appearance evaluation. Binary ISR was defined as an in-stent neointimal proliferation with diameter stenosis ≥50% to assess the diagnostic performance between the LD group and SD group with ICA as the standard reference. Results: The LD group achieved better objective and subjective image quality than that of the SD group even with 39.1% radiation dose reduction and 28.0% contrast media reduction. The LD group improved the diagnostic accuracy for coronary ISR to 94.2% from the 83.8% of the SD group on the stent level and decreased the ratio of false-positive cases by 19.2%. Conclusion: Compared with standard-dose CCTA with ASIR-V and SSF1, the high-resolution, low-dose CCTA with DLIR and SSF2 reconstruction algorithms further improves the image quality and diagnostic performance for coronary ISR at 39.1% radiation dose reduction and 28.0% contrast dose reduction.

High-Performance Metabolic Profiling of High-Risk Thyroid Nodules by ZrMOF Hybrids.

Thyroid nodules (TNs) have emerged as the most prevalent endocrine disorder in China. Fine-needle aspiration (FNA) remains the standard diagnostic method for assessing TN malignancy, although a majority of FNA results indicate benign conditions. Balancing diagnostic accuracy while mitigating overdiagnosis in patients with benign nodules poses a significant clinical challenge. Precise, noninvasive, and high-throughput screening methods for high-risk TN diagnosis are highly desired but remain less explored. Developing such approaches can improve the accuracy of noninvasive methods like ultrasound imaging and reduce overdiagnosis of benign nodule patients caused by invasive procedures. Herein, we investigate the application of gold-doped zirconium-based metal-organic framework (ZrMOF/Au) nanostructures for metabolic profiling of thyroid diseases. This approach enables the efficient extraction of urine metabolite fingerprints with high throughput, low background noise, and reproducibility. Utilizing partial least-squares discriminant analysis and four machine learning models, including neural network (NN), random forest (RF), logistic regression (LR), and support vector machine (SVM), we achieved an enhanced diagnostic accuracy (98.6%) for discriminating thyroid cancer (TC) from low-risk TNs by using a diagnostic panel. Through the analysis of metabolic differences, potential pathway changes between benign nodule and malignancy are identified. This work explores the potential of rapid thyroid disease screening using the ZrMOF/Au-assisted LDI-MS platform, providing a potential method for noninvasive screening of thyroid malignant tumors. Integrating this approach with imaging technologies such as ultrasound can enhance the reliability of noninvasive diagnostic methods for malignant tumor screening, helping to prevent unnecessary invasive procedures and reducing the risk of overdiagnosis and overtreatment in patients with benign nodules.

Total-Body Dynamic Imaging and Kinetic Modeling of [18F]F-AraG in Healthy Individuals and a Non-Small Cell Lung Cancer Patient Undergoing Anti-PD-1 Immunotherapy.

Immunotherapies, especially checkpoint inhibitors such as anti-programmed cell death protein 1 (anti-PD-1) antibodies, have transformed cancer treatment by enhancing the immune system's capability to target and kill cancer cells. However, predicting immunotherapy response remains challenging. 18F-arabinosyl guanine ([18F]F-AraG) is a molecular imaging tracer targeting activated T cells, which may facilitate therapy response assessment by noninvasive quantification of immune cell activity within the tumor microenvironment and elsewhere in the body. The aim of this study was to obtain preliminary data on total-body pharmacokinetics of [18F]F-AraG as a potential quantitative biomarker for immune response evaluation. Methods: The study consisted of 90-min total-body dynamic scans of 4 healthy subjects and 1 non-small cell lung cancer patient who was scanned before and after anti-PD-1 immunotherapy. Compartmental modeling with Akaike information criterion model selection was used to analyze tracer kinetics in various organs. Additionally, 7 subregions of the primary lung tumor and 4 mediastinal lymph nodes were analyzed. Practical identifiability analysis was performed to assess the reliability of kinetic parameter estimation. Correlations of the SUVmean, the tissue-to-blood SUV ratio (SUVR), and the Logan plot slope (K Logan) with the total volume of distribution (V T) were calculated to identify potential surrogates for kinetic modeling. Results: Strong correlations were observed between K Logan and SUVR with V T, suggesting that they can be used as promising surrogates for V T, especially in organs with a low blood-volume fraction. Moreover, practical identifiability analysis suggested that dynamic [18F]F-AraG PET scans could potentially be shortened to 60 min, while maintaining quantification accuracy for all organs of interest. The study suggests that although [18F]F-AraG SUV images can provide insights on immune cell distribution, kinetic modeling or graphical analysis methods may be required for accurate quantification of immune response after therapy. Although SUVmean showed variable changes in different subregions of the tumor after therapy, the SUVR, K Logan, and V T showed consistent increasing trends in all analyzed subregions of the tumor with high practical identifiability. Conclusion: Our findings highlight the promise of [18F]F-AraG dynamic imaging as a noninvasive biomarker for quantifying the immune response to immunotherapy in cancer patients. Promising total-body kinetic modeling results also suggest potentially wider applications of the tracer in investigating the role of T cells in the immunopathogenesis of diseases.

Safety of low-intensity extracorporeal shock wave therapy in prostate disorders: in vitro and in vivo evidence.

ABSTRACT: Recent evidence suggests that low-intensity extracorporeal shock wave therapy (Li-ESWT) is a promising treatment for chronic prostatitis/chronic pelvic pain syndrome (CP/CPPS); however, its safety in pelvic organs, particularly prostate tissues and cells, remains unclear. The current study evaluates the risks of prostate cell damage or oncogenesis following the administration of Li-ESWT for prostatitis. To this end, a robust in vitro model (Cell Counting Kit-8 [CCK-8] assay, clone formation assay, cell scratch assay, lactate dehydrogenase [LDH] release assay, flow cytometry, and immunoblotting assay) was designed to examine the effects of Li-ESWT on cell proliferation, clonogenicity, migration, membrane integrity, and DNA damage. Exome sequencing of Li-ESWT-treated cells was performed to determine the risk of carcinogenesis. Furthermore, an in vivo rat model ( n = 20) was employed to assess the effects of Li-ESWT on cancer biomarkers (carcinoembryonic antigen [CEA], Ki67, proliferating cell nuclear antigen [PCNA], and gamma-H2A histone family member X, phosphorylation of the H2AX Ser-139 [ γ -H2AX]) in prostate tissue. Based on our findings, Li-ESWT promotes cellular growth and motility without inducing significant cell membrane or DNA damage or alterations. Genetic analyses did not demonstrate an increase in mutations, and no damage to prostate tissue or upregulation of cancer biomarkers was detected in vivo. This comprehensive in vitro and in vivo assessment confirms the safety of Li-ESWT in managing prostate disorders.

Unleashing the Potential of Internet Hospitals: An In-Depth Examination of Information Platform Functionality and Performance.

BACKGROUND: Internet hospitals (IHs) have rapidly developed as a promising strategy to address supply-demand imbalances in China's medical industry, with their capabilities directly dependent on information platform functionality. Moreover, a novel theory of "Trinity" smart hospital has provided advanced guidelines of IHs construction. OBJECTIVE: To explore the construction experience, construction models, and development prospects based on operational data from IHs. METHODS: Based on existing information systems and internet service functionalities, our hospital has built a "Smart Hospital Internet Information Platform (SHIIP)" for IHs operation, actively to expand online services, digitalize traditional healthcare, and explore healthcare services modes throughout the entire process and lifecycle. This article encompasses the platform architecture design, technological applications, patient service content and processes, healthcare professional support features, administrative management tools, and associated operational data. RESULTS: Our platform has presented a remarkable set of data, including 82,279,669 visits, 420,120 online medical consultations, 124,422 electronic prescriptions, 92,285 medication deliveries, 6,965,566 pre-diagnosis triages, 4,995,824 offline outpatient appointments, 2,025 medical education articles with a total of 15,148,310 views, and so on. These data demonstrate the significant role of IH as an indispensable component of our physical hospital services, with a deep integration between online and offline healthcare systems. CONCLUSIONS: Attributing to extreme convenience and improved efficiency, our IH has achieved a wide recognition and use from both the public and healthcare workers, and the upward trends in multiple data metrics suggest a promising outlook for its sustained and positive development in the future. Our pioneering exploration holds tremendous significance and serves as a valuable guiding reference for IHs construction and the progressive development of the internet healthcare sector.

Three-dimensional micro strain gauges as flexible, modular tactile sensors for versatile integration with micro- and macroelectronics.

Flexible tactile sensors play important roles in many areas, like human-machine interface, robotic manipulation, and biomedicine. However, their flexible form factor poses challenges in their integration with wafer-based devices, commercial chips, or circuit boards. Here, we introduce manufacturing approaches, device designs, integration strategies, and biomedical applications of a set of flexible, modular tactile sensors, which overcome the above challenges and achieve cooperation with commercial electronics. The sensors exploit lithographically defined thin wires of metal or alloy as the sensing elements. Arranging these elements across three-dimensional space enables accurate, hysteresis-free, and decoupled measurements of temperature, normal force, and shear force. Assembly of such sensors on flexible printed circuit boards together with commercial electronics forms various flexible electronic systems with capabilities in wireless measurements at the skin interface, continuous monitoring of biomechanical signals, and spatial mapping of tactile information. The flexible, modular tactile sensors expand the portfolio of functional components in both microelectronics and macroelectronics.

The ß-Ketoacyl-ACP Synthase FabF Catalyzes Carbon-Carbon Bond Formation in a Bimodal Pattern for Fatty Acid Biosynthesis.

Fatty acids produced by the type-II fatty acid biosynthesis pathway (FAS-II) are essential biomaterials for bacterial membrane construction and numerous metabolic routes. The ß-ketoacyl-ACP synthase FabF catalyzes the key C-C bond formation step for fatty acid extension in FAS-II. Here, we revealed the substrate recognition and catalytic mechanisms of FabF by determining FabF-ACP complexes. FabF displays a distinctive bimodal catalytic pattern specifically on C6 and C10 acyl-ACP substrates. It utilizes positively charged residues located on the η3-helix and loop1 regions near the catalytic tunnel entrance to bind ACP, and two hydrophobic cavities as well as "front", "middle", and "back" door residues to specifically stabilize C6 and C10 acyl substrates for preferential catalysis. Further quantum chemistry calculations suggest that the FabF catalytic residues Lys336 and His304 facilitate proton transfer during condensation catalysis and C-C bond formation. Our results provide key mechanistic insights into the biosynthesis of molecular carbon skeletons based on ketosynthases that are highly conserved through the FAS and polyketide synthase (PKS) analogous biosynthetic routes, broaden the understanding of the tricarboxylic acid cycle that utilizes lipoic acid derived from C8-ACP accumulated due to the FabF distinctive catalytic pattern for oxidative decarboxylations, and may facilitate the development of narrow-spectrum antibacterial drugs.

Longitudinal assessment of the progression of severe keratoconus based on corneal topography.

We aimed to assess long-term disease progression in patients with severe keratoconus (KC). Clinical records of 125 patients (201 eyes) with severe KC followed-up for > 12 months were retrospectively analyzed. From these, 28 patients (31 eyes) were included. Corneal topography parameters evaluated included thinnest corneal thickness (TCT), maximum keratometry (Kmax), anterior and posterior mean corneal radii of 3 mm (aKM, pKM), steep keratometry, and KC screening indices. All patients wore rigid gas permeable contact lenses (RGPCLs) for an extended period. The median patient age and follow-up period were 20 (interquartile range [IQR] 17-22) years and 25 (15-38) months, respectively. Compared to baseline, the aKM, Kmax, and KC screening indices on the anterior corneal surface were reduced at the final follow-up (P < 0.05). No changes were observed in RGP-corrected visual acuity, TCT, pKM, or KC screening indices on the posterior corneal surface. The higher the baseline value, the greater the reduction in aKM and Kmax. Five patients (16%) experienced disease progression during follow-up. Patients with severe KC showed reduced anterior corneal surface curvature and no change in corneal thickness during an average follow-up period of 2-3 years while wearing RGPCLs.