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Polycystic ovary syndrome (PCOS) is a prevalent yet complex reproductive endocrine disorder affecting 11–13% of women worldwide. Its main symptoms include elevated androgen levels, irregular menstrual cycles, and long-term metabolic and offspring health implications. Despite the disease’s multifaceted nature involving genetic, epigenetic, and environmental factors, the role of alternative splicing in ovarian granulosa cells remains relatively unexplored. This study aims to investigate the transcriptional and alternative splicing characteristics of granulosa cells in PCOS patients and to elucidate the potential functional consequences of these changes. Analysis of previous published transcriptome sequencing data identified 491 upregulated and 401 downregulated genes in granulosa cells of PCOS patients, significantly involved in immune-related processes. Additionally, 1250 differential splicing events, predominantly involving exon skipping and affecting 947 genes, were detected. These genes with alternative splicing patterns were found to be enriched in endoplasmic reticulum stress and protein post-translational modification processes, suggesting their role in PCOS pathology. Moreover, the study highlighted that the utilization of different splice isoforms of the YAP1 gene may impact its interaction in the Hippo signaling pathway, influencing the pathogenesis of PCOS. These findings underscore substantial alterations in alternative splicing in granulosa cells of PCOS patients, providing a novel viewpoint for comprehending the molecular underpinnings of PCOS and suggesting potential avenues for therapeutic intervention.

Molecular computing is an emerging paradigm that plays an essential role in data storage, bio-computation, and clinical diagnosis with the future trends of more efficient computing scheme, higher modularity with scaled-up circuity and stronger tolerance of corrupted inputs in a complex environment. Towards these goals, we construct a spatially localized, DNA integrated circuits-based classifier (DNA IC-CLA) that can perform neuromorphic architecture-based computation at a molecular level for medical diagnosis. The DNA-based classifier employs a two-dimensional DNA origami as the framework and localized processing modules as the in-frame computing core to execute arithmetic operations (e.g. multiplication, addition, subtraction) for efficient linear classification of complex patterns of miRNA inputs. We demonstrate that the DNA IC-CLA enables accurate cancer diagnosis in a faster (about 3 h) and more effective manner in synthetic and clinical samples compared to those of the traditional freely diffusible DNA circuits. We believe that this all-in-one DNA-based classifier can exhibit more applications in biocomputing in cells and medical diagnostics. Molecular computing is an emerging paradigm with a crucial role in clinical diagnosis. Here, authors develop a spatially localized, DNA-integrated circuits-based classifier, DNA IC-CLA, which enables accurate cancer diagnosis for clinical samples in a faster and more effective manner.

Bupleurum chinense is an important medicinal plant in China; however, little is known regarding how this plant transcribes and synthesizes saikosaponins under drought stress. Herein, we investigated how drought stress stimulates the transcriptional changes of B. chinense to synthesize saikosaponins. Short-term drought stress induced the accumulation of saikosaponins, especially from the first re-watering stage (RD_1 stage) to the second re-watering stage (RD_2 stage). Saikosaponin-a and saikosaponin-d increased by 84.60% and 75.13%, respectively, from the RD_1 stage to the RD_2 stage. Drought stress also stimulated a rapid increase in the levels of the hormones abscisic acid, salicylic acid, and jasmonic acid. We screened 49 Unigenes regarding the terpenoid backbone and triterpenoid biosynthesis, of which 33 differential genes were significantly up-regulated during drought stress. Moreover, one P450 and two UGTs are possibly involved in the synthesis of saikosaponins, while some transcription factors may be involved in regulating the expression of key enzyme genes. Our study provides a reference for the cultivation of B. chinense and a practical means to ensure the quality (safety and effectiveness) of B. chinense for medicinal use, as well as insights into the modernization of the China Agriculture Research System.

Background Platinum-etoposide chemotherapy combined with immune checkpoint inhibitors (ICIs) has been recommended as the first-line standard treatment for extensive-stage small-cell lung cancer (ES-SCLC). However, the effect of thoracic radiotherapy (TRT) on these patients is still unknown. This study aimed to evaluate the efficacy and safety of TRT for ES-SCLC patients who responded to first-line ICIs and chemotherapy (CHT). Methods Patients who received 4 to 6 cycles of ICIs and CHT as first-line therapy at three hospitals between 2018 and 2022 were included in the analysis. All patients were divided into two groups based on whether they received TRT as first-line treatment, and propensity score matching (PSM) was performed to ensure that the characteristics of two groups were well-balanced. The primary endpoints were overall survival (OS) and progression-free survival (PFS), and the secondary endpoint was toxic effects. Results A total of 276 patients were included, and the median follow-up time was 22.3 (range, 4.0-53.73) months. After PSM, 197 patients were further analysed, and 99 of whom received TRT. The baseline characteristics were well-balanced between patients in the TRT and non-TRT groups. There were significant differences in PFS between the TRT and non-TRT groups, with the median PFS of 10.76 and 7.63 months, respectively (P = 0.014). Significantly improved OS was observed in the TRT group (21.67 vs. 16.6 months, P = 0.009). In addition, the use of TRT was an independent prognostic factor for PFS and OS of ES-SCLC patients receiving ICIs plus CHT. In terms of safety, no significant increase of any grades adverse event (AE) (P = 0.874) and G3-4 AE (P = 0.909) was observed for patients receiving TRT. Radiation esophagitis, gastrointestinal and hematologic toxicities were the most common AEs in TRT group, which were tolerable. And high-dose radiotherapy was associated with higher incidence of pneumonitis. Conclusion Addition of TRT showed significant survival benefits and well tolerability in ES-SCLC patients receiving platinum-etoposide CHT and ICIs, which could be a feasible first-line treatment strategy for ES-SCLC patients.

ObjectivesNumerous studies have examined the effects of physical activity on cognitive performance and executive function in people with Alzheimer’s disease (AD), although the findings are not entirely consistent. There are also insufficient study reviews for specific workout and assessment tool types. Therefore, the purpose of this study was to systematically investigate the effects of aerobic exercise on the quality of life, cognitive performance and depressive symptoms in people with AD.DesignRisk of bias was assessed using the Cochrane risk of bias tool, systematic reviews and meta-analyses using random-effects modelling, and certainty of evidence using the Grading of Recommendations Assessment, Development and Evaluation tool.Data sourcesPubMed, Web of Science, Cochrane Library, EMBASE, Scopus, CINAHL and CNKI through 12 March 2024.Eligibility criteriaThe analysis includes all randomised controlled trials (RCTs) that used aerobic exercise as an intervention for individuals with AD.Data extraction and synthesisTwo writers selected and searched for data using defined techniques. To investigate possible sources of heterogeneity between studies, meta-regression was carried out using Stata MP V.18.0 and V.14.0 software, standardised mean differences (SMDs) and 95% CIs were computed, and data were reviewed using Review Manager V.5.4 software, which was made available by the Cochrane Collaboration. Sensitivity analyses were employed to ascertain the stability and reliability of the results, and funnel plots and Egger’s test were employed to check for publication bias. Correction and assessment of publication bias was done using Duval and Tweedie clipping methods.ResultsAerobic exercise enhanced cognitive function. For the Minimum Mental State Examination (MMSE) (SMD=0.95, 95% CI 0.58 to 1.32, Z=5.06, p<0.00001), Alzheimer’s Disease Assessment Scale-Cognitive Section (ADAS-cog) (SMD=−0.67, 95% CI −1.15 to –0.2, Z=2.77, p=0.006) and quality of life (SMD=0.36, 95% CI 0.08 to 0.64, Z=2.51, p=0.01), but not statistically significant for depressive symptoms (SMD=−0.25, 95% CI −0.63 to 0.13, Z=1.27, p=0.21). Subgroup analysis showed that duration greater than 16 weeks and less than 50 min per intervention improved MMSE Scores. Duration greater than 16 weeks and more than 30 min per intervention improved ADAS-cog Scores in patients with AD. Aerobic exercise greater than 16 weeks, with more than three interventions per week and 30–50 min per intervention improves quality of life in patients with AD.ConclusionThe study revealed that aerobic exercise was conducive to the improvement of cognitive function and quality of life among patients with AD, yet it did not exert a significant impact on the amelioration of depressive symptoms. Nevertheless, given the high level of heterogeneity and the variations in the quality of the included studies, the conclusions require further verification through more scientifically objective RCTs.PROSPERO registration numberCRD42024526067

Pre-existing immunity to seasonal endemic coronaviruses could have profound consequences for antibody responses to SARS-CoV-2, induced from natural infection or vaccination. A first step to establish whether pre-existing responses can impact SARS-CoV-2 infection is to understand the nature and extent of cross-reactivity in humans to coronaviruses. Here we compare serum antibody and memory B cell responses to coronavirus spike proteins from pre-pandemic and SARS-CoV-2 convalescent donors using binding and functional assays. We show weak evidence of pre-existing SARS-CoV-2 cross-reactive serum antibodies in pre-pandemic donors. However, we find evidence of pre-existing cross-reactive memory B cells that are activated during SARS-CoV-2 infection. Monoclonal antibodies show varying degrees of cross-reactivity with betacoronaviruses, including SARS-CoV-1 and endemic coronaviruses. We identify one cross-reactive neutralizing antibody specific to the S2 subunit of the S protein. Our results suggest that pre-existing immunity to endemic coronaviruses should be considered in evaluating antibody responses to SARS-CoV-2. Pre-existing immune responses between antigenically related viruses can influence responses in viral infections or vaccinations. Here the authors assess and characterize the presence of antibody and memory B cell populations specific to SARS-CoV2 and endemic human coronaviruses.

The histamine receptors belong to the G protein-coupled receptor (GPCR) superfamily, and play important roles in the regulation of histamine and other neurotransmitters in the central nervous system, as potential targets for the treatment of neurologic and psychiatric disorders. Here we report the crystal structure of human histamine receptor H 3 R bound to an antagonist PF-03654746 at 2.6 Å resolution. Combined with the computational and functional assays, our structure reveals binding modes of the antagonist and allosteric cholesterol. Molecular dynamic simulations and molecular docking of different antihistamines further elucidate the conserved ligand-binding modes. These findings are therefore expected to facilitate the structure-based design of novel antihistamines. Crystal structure of human histamine receptor H3R bound to an antagonist PF-03654746 reveals the unexpected binding modes of the antagonist and allosteric cholesterol, which could facilitate the structure-based design of novel antihistamines.

Conditionally activated (“caged”) oligonucleotides provide useful spatiotemporal control for studying dynamic biological processes, e.g., regulating in vivo gene expression or probing specific oligonucleotide targets. This review summarizes recent advances in caging strategies, which involve different stimuli in the activation step. Oligo cyclization is a particularly attractive caging strategy, which simplifies the probe design and affords oligo stabilization. Our laboratory developed an efficient synthesis for circular caged oligos, and a circular caged antisense DNA oligo was successfully applied in gene regulation. A second technology is Transcriptome In Vivo Analysis (TIVA), where caged oligos enable mRNA isolation from single cells in living tissue. We highlight our development of TIVA probes with improved caging stability. Finally, we illustrate the first protease-activated oligo probe, which was designed for caspase-3. This expands the toolkit for investigating the transcriptome under a specific physiologic condition (e.g., apoptosis), particularly in specimens where light activation is impractical.

Electrocatalytic water splitting has been identified as a potential candidate for producing clean hydrogen energy with zero carbon emission. However, the sluggish kinetics of oxygen evolution reaction on the anode side of the water‐splitting device significantly hinders its practical applications. Generally, the efficiency of oxygen evolution processes depends greatly on the availability of cost‐effective catalysts with high activity and selectivity. In recent years, extensive theoretical and experimental studies have demonstrated that cobalt (Co)‐based nanomaterials, especially low‐dimensional Co‐based nanomaterials with a huge specific surface area and abundant unsaturated active sites, have emerged as versatile electrocatalysts for oxygen evolution reactions, and thus, great progress has been made in the rational design and synthesis of Co‐based nanomaterials for electrocatalytic oxygen evolution reactions. Considering the remarkable progress in this area, in this timely review, we highlight the most recent developments in Co‐based nanomaterials relating to their dimensional control, defect regulation (conductivity), electronic structure regulation, and so forth. Furthermore, a brief conclusion about recent progress achieved in oxygen evolution on Co‐based nanomaterials, as well as an outlook on future research challenges, is given. Cobalt‐based nanomaterials have been widely designed as efficient electrocatalysts for oxygen evolution reactions due to their electron orbitals. We summarize the recent development of cobalt‐based nanomaterials relating to dimensional control, defect regulation (conductivity), electronic structure regulation, and so forth for electrocatalytic oxygen evolution reactions.