Quantitative proteomic analysis reveals hub proteins for high temperature-induced male sterility in bread wheat (Triticum aestivum L.).

High-temperature (HT) stress can induce male sterility in wheat; however, the underlying mechanisms remain poorly understood. This study examined proteomic alterations across three developmental stages between normal and HT-induced male-sterile (HT-ms) anthers in wheat. Utilizing tandem mass tags-based proteomics, we identified 2532 differentially abundant proteins (DAPs): 27 in the tetrad stage, 157 in the binuclear stage, and 2348 in the trinuclear stage. Analyses through Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathways indicated significant enrichment of these DAPs in seven pathways, namely phenylpropanoid biosynthesis, flavonoid biosynthesis, sphingolipid metabolism, MAPK signaling pathway, starch and sucrose metabolism, response to heat, and response to reactive oxygen species (ROS). Our results indicated the downregulation of DAPs associated with phenylpropanoid biosynthesis and starch and sucrose metabolism, which aligns with anther indehiscence and the lack of starch in HT-ms anthers. By contrast, DAPs in the ROS pathway were upregulated, which aligns with excessive ROS accumulation in HT-ms anthers. Additionally, we conducted protein-protein interaction analysis for the DAPs of these pathways, identifying 15 hub DAPs. The abundance of these hub proteins was confirmed through qRT-PCR, assessing mRNA expression levels of the corresponding transcripts. Collectively, these results offer insights into the molecular mechanisms underlying HT-induced male sterility in wheat at the proteomic level, providing a valuable resource for further research in plant sexual reproduction.

Unveiling disulfidptosis-related genes in HBV-associated hepatocellular carcinoma: an integrated study incorporating transcriptome and Mendelian randomization analyses.

Disulfidptosis, a recently unveiled mechanism of demise, has been linked to an unfavorable prognosis in the context of hepatocellular carcinoma (HCC). However, few studies have focused on the causal link between disulfidptosis and HBV-related HCC (HBV-HCC). In this study, the Mendelian randomization (MR) analysis demonstrated that the risk of HCC increased with increasing genetic susceptibility to HBV, and the genetic changes of disulfidptosis were significantly associated with the increased risk of HBV-HCC. Within both the TCGA and GEO cohorts, it is possible to accurately forecast the prognosis of HBV-HCC by utilizing a risk score that is derived from a combination of GYS1, RPN1, SLC7A11, LRPPRC and CAPZB genes. GYS1, a potential therapeutic target for HBV-HCC, exhibits a remarkable positive correlation with immune infiltration and MSI when compared to other molecules. Furthermore, we demonstrated that silencing GYS1 effectively inhibits the tumor proliferation and metastasis of HBV-HCC in vitro and in vivo. Overall, this study expands the understanding of the potential roles of disulfidptosis in HBV-HCC and highlights GYS1 as a promising target for HBV-HCC.

The Role of Online Well-Being Therapy in Overcoming Allostatic Overload in Medical Workers: A Pilot Randomized Controlled Study.

INTRODUCTION: Stress may lead to allostatic overload. Well-being therapy (WBT) might mitigate it by enhancing psychological well-being and protecting from psychological symptoms. Since no reports are available on the use of WBT in allostatic overload, we evaluated online WBT effects in reducing allostatic overload in medical workers during the coronavirus pandemic. METHODS: Sixty-six participants with allostatic overload were enrolled and randomly assigned to eight sessions of online WBT (n = 32) or eight sessions of an online psychoeducation program on healthy lifestyle (CON) (n = 34). The primary outcome was the prevalence rate of allostatic overload in the two groups at session 8 (T2). Secondary analyses were performed on changes in the PsychoSocial Index (PSI) and Psychological Well-Being (PWB) scales scores at the same time points. Generalized estimating equation models were employed. RESULTS: The WBT group showed a significantly lower rate of allostatic overload at T2 than the CON group (28.13% vs. 70.59%, p < 0.001); similar results were found at T1, T3, and T4 (p < 0.001). Compared to CON, WBT produced a significant decrease in psychological distress (p < 0.001) and abnormal illness behavior (p = 0.031), as well as a significant improvement in PWB autonomy, environmental mastery, personal growth, positive relations with others, purpose in life, and self-acceptance (p < 0.001). CONCLUSION: Online WBT may be an effective non-pharmacological therapeutic strategy for individuals with allostatic overload. These findings need to be further validated in different clinical populations.

Mental health disparities in people living with human immunodeficiency virus: A cross-sectional study on physician-patient concordance and treatment regimens.

BACKGROUND: Human immunodeficiency virus (HIV)/acquired immunodeficiency syndrome (AIDS) can profoundly affect the mental health of the people living with HIV (PLWH), with higher rates of anxiety, depression, and sleep disturbances. The disparities in neuropsychological problems evaluated by physicians and self-assessed by patients are still unknown. METHODS: A total of 5000 PLWH and 500 physicians from 167 hospitals were enrolled in this cross-sectional study from September 2022 to February 2023. 4-Item Patient Health Questionnaire (PHQ-4) was used for the evaluation of depressive issues and anxiety issues by PLWH. Each physician assessed 10 PLWH under their care for the presence of depressive or anxiety issues. The primary outcomes of this study are the concordance rates on the depressive issues and anxiety issues evaluation between physicians and PLWH. The Cohen's kappa test was used to assess the agreement between physicians and PLWH. RESULTS: The concordance rate for the evaluation of depressive issues is 73.84% (95% confidence interval [CI]: 72.60-75.04%), and it is significantly different from the expected rate of 80% (P <0.001). Similarly, the concordance rate for the evaluation of anxiety issues is 71.74% (95% CI: 70.47-72.97%), which is significantly different from the expected rate of 80% as per the null hypothesis (P <0.001). The overestimation rate by physicians on depressive issues is 12.20% (95% CI: 11.32-13.14%), and for anxiety issues is 12.76% (95% CI: 11.86-13.71%). The mismatch rate for depressive issues is 26.16% (95% CI: 24.96-27.40%), and for anxiety issues is 28.26% (95% CI: 27.02-29.53%). The underestimation rate by physicians on depressive issues is 13.96% (95% CI: 13.03-14.95%), and for anxiety issues is 15.50% (95% CI: 14.52-16.53%). For the treatment regiments, PLWH sustained on innovative treatment regimen (IR) related to a lower prevalence of depressive issues (odds ratio [OR] = 0.71, 95% CI: 0.59-0.87, P = 0.003) and a lower prevalence of anxiety issues (OR = 0.63, 95% CI: 0.52-0.76, P <0.001). PLWH switch from conventional treatment regimen (CR) to IR also related to a lower prevalence of depressive issues (OR = 0.79, 95% CI: 0.64-0.98) and a lower prevalence of anxiety issues (OR = 0.81, 95% CI: 0.67-0.99). CONCLUSION: Nearly one in three PLWH had their condition misjudged by their physicians. The findings underscore the need for improved communication and standardized assessment protocols in the care of PLWH, especially during the acute phase of HIV infection.

DualStreamFoveaNet: A Dual Stream Fusion Architecture with Anatomical Awareness for Robust Fovea Localization.

Accurate fovea localization is essential for analyzing retinal diseases to prevent irreversible vision loss. While current deep learning-based methods outperform traditional ones, they still face challenges such as the lack of local anatomical landmarks around the fovea, the inability to robustly handle diseased retinal images, and the variations in image conditions. In this paper, we propose a novel transformer-based architecture called DualStreamFoveaNet (DSFN) for multi-cue fusion. This architecture explicitly incorporates long-range connections and global features using retina and vessel distributions for robust fovea localization. We introduce a spatial attention mechanism in the dual-stream encoder to extract and fuse self-learned anatomical information, focusing more on features distributed along blood vessels and significantly reducing computational costs by decreasing token numbers. Our extensive experiments show that the proposed architecture achieves state-of-the-art performance on two public datasets and one large-scale private dataset. Furthermore, we demonstrate that the DSFN is more robust on both normal and diseased retina images and has better generalization capacity in cross-dataset experiments.

Topological change of soil microbiota networks for forest resilience under global warming.

Forest management by thinning can mitigate the detrimental impact of increasing drought caused by global warming. Growing evidence shows that the soil microbiota can coordinate the dynamic relationship between forest functions and drought intensity, but how they function as a cohesive whole remains elusive. We outline a statistical topology model to chart the roadmap of how each microbe acts and interacts with every other microbe to shape the dynamic changes of microbial communities under forest management. To demonstrate its utility, we analyze a soil microbiota data collected from a two-way longitudinal factorial experiment involving three stand densities and three levels of rainfall over a growing season in artificial plantations of a forest tree - larix (Larix kaempferi). We reconstruct the most sophisticated soil microbiota networks that code maximally informative microbial interactions and trace their dynamic trajectories across time, space, and environmental signals. By integrating GLMY homology theory, we dissect the topological architecture of these so-called omnidirectional networks and identify key microbial interaction pathways that play a pivotal role in mediating the structure and function of soil microbial communities. The statistical topological model described provides a systems tool for studying how microbial community assembly alters its structure, function and evolution under climate change.

Stable Interlayer Zinc Plating/Stripping in the Maxwell-Wagner Effect-Enhanced Interface.

Zinc metal batteries have recently emerged as a promising stable and reversible anode aqueous battery. However, due to the serious dendrite problem and hydrogen evolution problem of the zinc metal anode, the practical application of the zinc metal battery is limited. Here, we propose Y2O3 as an effective coating, which inhibits hydrogen evolution and side reactions by physical isolation and simultaneously prevents dendrite growth by ensuring a uniform Zn-ion flux and fast transport channels generated by Maxwell-Wagner polarization, thus improving the stability of batteries. Meanwhile, in situ/ex situ characterizations and different simulations are conducted to investigate in detail the effect of Maxwell-Wagner polarization on the performance of Zn metal batteries. The symmetric Y2O3@Zn anode system exhibits a stable electroplating/stripping performance over 780 h and enables the Zn battery to achieve a Coulombic efficiency of up to 99.81% over 1000 cycles by reducing side reactions. The Y2O3@Zn||MnO2 full cell delivers a high energy density of 301.42 Wh kg-1 at a power density of 205.04 W kg-1. The work provides insights into the reversibility and stability of zinc anodes and provides a promising way to promote the practical application of Zn metal batteries.

Predictive value of early serum ACSL4 and ASITN/SIR grade for motor function recovery in patients with post-ischemic stroke lower limb neurological sequelae after modified constraint-induced movement therapy.

BACKGROUND: Ischemic stroke accounts for over 85 % of all stroke types. Acyl-CoA synthetase long chain family member 4 (ACSL4) is considered to promote myocardial and cerebral ischaemia/ reperfusion. However, up to now, no study focused on the role of ACSL4 in patients with post-stroke lower limb neurological sequelae. OBJECTIVE: The present study aimed to investigate the predictive value of ACSL4 and collateral circulation for lower limb neurological sequelae of ischemic stroke patients after modified constraint-induced movement therapy (mCIMT). METHODS: This is a prospective cohort study which included 99 ischemic stroke patients with lower limb neurological sequelae who were admitted to our hospital during January 2021 to December 2022. All patients received mCIMT after the admission. Collateral circulation was evaluated by digital subtraction angiography (DSA) and graded by the American Society of Interventional and Therapeutic Neuroradiology/ Society of Interventional Radiology (ASITN/SIR) grading system. Enzyme linked immunosorbent assay (ELISA) was used to detect serum ACSL4. Basic characteristics were collected and lower limb motor function was measured by Fugl-Meyer score (FMS), modified Ashworth score (MAS) and Brunnstrom stage, as well as timed up and go (TUG) test, ten-Meter walk test (10MWT), and six-minute walk test (6MWT) before and after treatment. RESULTS: Serum ACSL4 and percentage of patients with ASITN/SIR 0-1 decreased significantly after treatment compared with the values before treatment. Patients with higher baseline serum ACSL4 values at admission showed significantly lower FMS scores, higher TUG and 10MWT, as well as lower 6MWT. Patients with ASITN/SIR grade 0-1 at admission only showed significantly higher TUG and 10MWT, as well as lower 6MWT. Receiver operating characteristic (ROC) curves showed ACSL4 and ASITN/SIR grade could be used to predict the prognosis. Logistic regression found only national institutes of health stroke scores (NIHSS) was the independent risk factor for post-treatment motor impairment after mCIMT. CONCLUSION: Higher levels of ACSL4 and ASITN/SIR 0-1 are associated with poor recovery of motor functions of patients with post-stroke sequelae after mCIMT.

Regeneration of Propriospinal Axons in Rat Transected Spinal Cord Injury through a Growth-Promoting Pathway Constructed by Schwann Cells Overexpressing GDNF.

Unsuccessful axonal regeneration in transected spinal cord injury (SCI) is mainly attributed to shortage of growth factors, inhibitory glial scar, and low intrinsic regenerating capacity of severely injured neurons. Previously, we constructed an axonal growth permissive pathway in a thoracic hemisected injury by transplantation of Schwann cells overexpressing glial-cell-derived neurotrophic factor (SCs-GDNF) into the lesion gap as well as the caudal cord and proved that this novel permissive bridge promoted the regeneration of descending propriospinal tract (dPST) axons across and beyond the lesion. In the current study, we subjected rats to complete thoracic (T11) spinal cord transections and examined whether these combinatorial treatments can support dPST axons' regeneration beyond the transected injury. The results indicated that GDNF significantly improved graft-host interface by promoting integration between SCs and astrocytes, especially the migration of reactive astrocyte into SCs-GDNF territory. The glial response in the caudal graft area has been significantly attenuated. The astrocytes inside the grafted area were morphologically characterized by elongated and slim process and bipolar orientation accompanied by dramatically reduced expression of glial fibrillary acidic protein. Tremendous dPST axons have been found to regenerate across the lesion and back to the caudal spinal cord which were otherwise difficult to see in control groups. The caudal synaptic connections were formed, and regenerated axons were remyelinated. The hindlimb locomotor function has been improved.

Magnetic Stimulation of Gigantocellular Reticular Nucleus with Iron Oxide Nanoparticles Combined Treadmill Training Enhanced Locomotor Recovery by Reorganizing Cortico-Reticulo-Spinal Circuit.

Background: Gigantocellular reticular nucleus (GRNs) executes a vital role in locomotor recovery after spinal cord injury. However, due to its unique anatomical location deep within the brainstem, intervening in GRNs for spinal cord injury research is challenging. To address this problem, this study adopted an extracorporeal magnetic stimulation system to observe the effects of selective magnetic stimulation of GRNs with iron oxide nanoparticles combined treadmill training on locomotor recovery after spinal cord injury, and explored the possible mechanisms. Methods: Superparamagnetic iron oxide (SPIO) nanoparticles were stereotactically injected into bilateral GRNs of mice with moderate T10 spinal cord contusion. Eight-week selective magnetic stimulation produced by extracorporeal magnetic stimulation system (MSS) combined with treadmill training was adopted for the animals from one week after surgery. Locomotor function of mice was evaluated by the Basso Mouse Scale, Grid-walking test and Treadscan analysis. Brain MRI, anterograde virus tracer and immunofluorescence staining were applied to observe the tissue compatibility of SPIO in GRNs, trace GRNs' projections and evaluate neurotransmitters' expression in spinal cord respectively. Motor-evoked potentials and H reflex were collected for assessing the integrity of cortical spinal tract and the excitation of motor neurons in anterior horn. Results: (1) SPIO persisted in GRNs for a minimum of 24 weeks without inducing apoptosis of GRN cells, and degraded slowly over time. (2) MSS-enabled treadmill training dramatically improved locomotor performances of injured mice, and promoted cortico-reticulo-spinal circuit reorganization. (3) MSS-enabled treadmill training took superimposed roles through both activating GRNs to drive more projections of GRNs across lesion site and rebalancing neurotransmitters' expression in anterior horn of lumbar spinal cord. Conclusion: These results indicate that selective MSS intervention of GRNs potentially serves as an innovative strategy to promote more spared fibers of GRNs across lesion site and rebalance neurotransmitters' expression after spinal cord injury, paving the way for the structural remodeling of neural systems collaborating with exercise training, thus ultimately contributing to the reconstruction of cortico-reticulo-spinal circuit.

Areca palm velarivirus 1 infection caused disassembly of chloroplast and reduction of photosynthesis in areca palm.

The expansion of betel palm cultivation is driven by rising demand for betel nut, yet this growth is accompanied by challenges such as decreased agricultural biodiversity and the spread of infectious pathogens. Among these, Yellow Leaf Disease (YLD) emerges as a prominent threat to betel palm plantation. Areca Palm Velarivirus 1 (APV1) has been identified as a primary causative agent of YLD, precipitating leaf yellowing, stunted growth, and diminished yield. However, the precise mechanisms underlying APV1-induced damage remain elusive. Our study elucidates that APV1 infiltrates chloroplasts, instigating severe damage and consequential reductions in chlorophyll a/b and carotene levels, alongside notable declines in photosynthetic efficiency. Moreover, APV1 infection exerts broad regulatory effects on gene expression, particularly suppressing key genes implicated in chloroplast function and photosynthesis. These disruptions correlate with growth retardation, yield diminishment, and compromised nut quality. Intriguingly, the paradoxical destruction of the host's photosynthetic machinery by APV1 prompts inquiry into its evolutionary rationale, given the virus's dependence on host resources for replication and proliferation. Our findings reveal that APV1-induced leaf yellowing acts as a beacon for transmission vectors, hinting at a nuanced "host-pathogen-vector co-evolutionary" dynamic.

Quantitative EEG reactivity induced by electrical stimulation predicts good outcome in comatose patients after cardiac arrest.

BACKGROUND: EEG reactivity is a predictor for neurological outcome in comatose patients after cardiac arrest (CA); however, its application is limited by variability in stimulus types and visual assessment. We aimed to evaluate the prognostic value of the quantitative analysis of EEG reactivity induced by standardized electrical stimulation and for early prognostication in this population. METHODS: This prospective observational study recruited post-CA comatose patients in Xuanwu Hospital, Capital Medical University (Beijing, China) between January 2016 and June 2023. EEG reactivity to electrical or traditional pain stimulation was randomly performed via visual and quantitative analysis. Neurological outcome within 6 months was dichotomized as good (Cerebral Performance Categories, CPC 1-2) or poor (CPC 3-5). RESULTS: Fifty-eight post-CA comatose patients were admitted, and 52 patients were included in the final analysis, of which 19 (36.5%) had good outcomes. EEG reactivity induced with the electrical stimulation had superior performance to the traditional pain stimulation for good outcome prediction (quantitative analysis: AUC 0.932 vs. 0.849, p = 0.048). When using the electrical stimulation, the AUC of EEG reactivity to predict good outcome by visual analysis was 0.838, increasing to 0.932 by quantitative analysis (p = 0.039). Comparing to the traditional pain stimulation by visual analysis, the AUC of EEG reactivity for good prognostication by the electrical stimulation with quantitative analysis was significantly improved (0.932 vs. 0.770, p = 0.004). CONCLUSIONS: EEG reactivity induced by the standardized electrical stimulation in combination with quantitative analysis is a promising formula for post-CA comatose patients, with increased predictive accuracy.

A meta-analysis of the effects of ketamine on suicidal ideation in depression patients.

The treatment of suicidal ideation in patients with depression has been a major problem faced by psychiatric and emergency departments, and reasonable drug selection is particularly important. Ketamine has been shown to reduce suicidal ideation rapidly, but the strength of the effect is unclear and there is little evidence-based medical evidence to support this. We systematically searched all articles published on PubMed, Cochrane Library, Web of Science, CNKI and EMBASE. Stata 15 and R 4.1.3 were used for meta-analysis, and odds ratios were calculated in fixed effects or random effects models based on the heterogeneity test results. Our search resulted in 505 articles; we analyzed 14 studies, which included 1,380 participants. The 14 studies included 10 randomized controlled trial (RCT) studies and 4 single-arm studies. Our study suggests that, ketamine has a significant therapeutic effect on suicidal ideation throughout the treatment cycle. We performed network meta-analyses(NMA) and pairwise meta-analyses to compare the efficacy of ketamine in the reduction of suicidal ideation. There was a significant reduction in suicidal ideation within the first day after treatment (NMA ketamine day1 RR = 10.02, 95%CI = 4.24 to 23.68). In repeated treatment, the degree of recovery of suicidal ideation after the last dose was significantly greater than that after the first dose (RR = 0.56, 95%CI = 0.51 to 0.62). Recovery of suicidal ideation was also significantly better in the treatment end point than in the placebo group at the same time point (NMA ketamine day26 RR = 4.29, 95%CI = 1.41 to 13.08). This is the first network meta-analysis to demonstrate the role of ketamine in the alleviation of suicidal ideation. Our network meta-analysis also compared the effects of different drugs at different time points, which was not done in previous studies. This is of great reference significance for future drug research andrational drug use.

Shared Latent Membership Enables Joint Shape Abstraction and Segmentation With Deformable Superquadrics.

Part-level 3D shape representations are crucial to shape reasoning and understanding. Two key sub-tasks are: 1) shape abstraction, creating primitive-based object parts; and 2) shape segmentation, finding partition-based object parts. However, for 3D object point clouds, most advanced methods produce parts relying on task-specific priors, such as similarity metrics and primitive geometries, resulting in misleading parts that deviate from semantics. To address prior limitations, we establish a foundation for joint shape abstraction and shape segmentation as formal linear transformations within a shared latent space, encapsulating essential dual-purpose membership information linking points and object parts for mutual reinforcement. We demonstrate that the transformations are underpinned by a derivation based on k-means, Non-negative Matrix Factorization (NMF), and the attention mechanism. As a result, we introduce Latent Membership Pursuit (LMP) for joint optimization of shape abstraction and segmentation. LMP utilizes a shared latent representation of object part membership to autonomously identify common object parts in both tasks without any supervision and priors. Furthermore, we adapt deformable superquadrics (DSQs) for primitives to capture variable part-level geometric and semantic information. Experiments on benchmark datasets validate that our approach enables mutual learning of shape abstraction and segmentation, and promotes consistent interpretations of 3D object shapes across instances and even categories in a fully unsupervised manner.

Chinese hospital staff in anxiety and depression: Not only comfort patients but also should be comforted - A nationwide cross-sectional study.

BACKGROUND: Healthcare professionals are in short supply worldwide, especially in China, which can result in increased stress in the work environment and allostatic load for Chinese hospital staff. This study aimed to investigate the prevalence of anxiety and depressive symptoms and their relationship with total stress, allostatic overload, sleep quality, and episodic memory among Chinese hospital staff. METHOD: In this cross-sectional study, self-assessments including Generalized Anxiety Disorder 7-item (GAD-7), Patient Health Questionnaire-9 (PHQ-9), PsychoSocial Index (PSI), Pittsburgh Sleeping Quality Index (PSQI), and MemTrax test were used to evaluate participants' anxiety symptoms, depressive symptoms, total stress, allostatic load/overload, sleep quality, and episodic memory. RESULTS: A total of 9433 hospital staff from 304 cities participated. Anxiety prevalence was 21.0 % (95 % confidential interval (CI) 20.2 %, 21.8 %), while the prevalence of depressive symptoms was at 21.4 % (95 % CI 20.5 %, 22.2 %). 79.8 % (95 % CI 79.0 %, 80.6 %) of the hospital staff had allostatic overload. Poor sleep quality affected 50.4 % of participants, and 32.1 % experienced poor episodic memory. LIMITATIONS: This study utilized a convenience sampling approach, relying on an online survey as its data collection method. CONCLUSIONS: Hospital staff in China are facing a stressful environment with a high prevalence of anxiety and depressive symptoms, significant allostatic overload, poor sleep quality, and compromised episodic memory. It is imperative that local management and community structures enhance their support and care for these essential workers, enabling them to manage and withstand the stresses of their professional roles effectively.

Brain-wide activation involved in 15 mA transcranial alternating current stimulation in patients with first-episode major depressive disorder.

Background: Although 15 mA transcranial alternating current stimulation (tACS) has a therapeutic effect on depression, the activations of brain structures in humans accounting for this tACS configuration remain largely unknown. Aims: To investigate which intracranial brain structures are engaged in the tACS at 77.5 Hz and 15 mA, delivered via the forehead and the mastoid electrodes in the human brain. Methods: Actual human head models were built using the magnetic resonance imagings of eight outpatient volunteers with drug-naïve, first-episode major depressive disorder and then used to perform the electric field distributions with SimNIBS software. Results: The electric field distributions of the sagittal, coronal and axial planes showed that the bilateral frontal lobes, bilateral temporal lobes, hippocampus, cingulate, hypothalamus, thalamus, amygdala, cerebellum and brainstem were visibly stimulated by the 15 mA tACS procedure. Conclusions: Brain-wide activation, including the cortex, subcortical structures, cerebellum and brainstem, is involved in the 15 mA tACS intervention for first-episode major depressive disorder. Our results indicate that the simultaneous involvement of multiple brain regions is a possible mechanism for its effectiveness in reducing depressive symptoms.

Naringenin nanoparticles targeting cyclin B1 suppress the progression of rheumatoid arthritis-associated lung cancer by inhibiting fibroblast-to-myofibroblast transition.

There is growing evidence of an elevated risk of lung cancer in patients with rheumatoid arthritis. The poor prognosis of rheumatoid arthritis-associated lung cancer and the lack of therapeutic options pose an even greater challenge to the clinical management of patients. This study aimed to identify potential molecular targets associated with the progression of rheumatoid arthritis-associated lung cancer and examine the efficacy of naringenin nanoparticles targeting cyclin B1. Mendelian randomizatio analysis revealed that rheumatoid arthritis has a positive correlation with the risk of lung cancer. Cyclin B1 was significantly upregulated in patients with rheumatoid arthritis-associated lung cancer and was significantly overexpressed in synovial tissue fibroblasts. Furthermore, the overexpression of cyclin B1 in rheumatoid arthritis fibroblast-like synoviocytes, which promotes their proliferation and fibroblast-to-myofibroblast transition, can significantly contribute to the growth and infiltration of lung cancer cells. Importantly, our prepared naringenin nanoparticles targeting cyclin B1 effectively attenuated proliferation and fibroblast-to-myofibroblast transition by blocking cells at the G2/M phase. In vivo experiments, naringenin nanoparticles targeting cyclin B1 significantly alleviated the development of collagen-induced arthritis and lung orthotopic tumors. Collectively, our results reveal that naringenin nanoparticles targeting cyclin B1 can suppress the progression of rheumatoid arthritis-associated lung cancer by inhibiting fibroblast-to-myofibroblast transition. These findings provide new insights into the treatment of rheumatoid arthritis-associated lung cancer therapy.

Clinical Interviewing: An Essential but Neglected Method of Medicine.

Clinical interviewing is the basic method to understand how a person feels and what are the presenting complaints, obtain medical history, evaluate personal attitudes and behavior related to health and disease, give the patient information about diagnosis, prognosis, and treatment, and establish a bond between patient and physician that is crucial for shared decision making and self-management. However, the value of this basic skill is threatened by time pressures and emphasis on technology. Current health care trends privilege expensive tests and procedures and tag the time devoted to interaction with the patient as lacking cost-effectiveness. Instead, the time spent to inquire about problems and life setting may actually help to avoid further testing, procedures, and referrals. Moreover, the dialogue between patient and physician is an essential instrument to increase patient's motivation to engage in healthy behavior. The aim of this paper was to provide an overview of clinical interviewing and its optimal use in relation to style, flow and hypothesis testing, clinical domains, modifications according to settings and goals, and teaching. This review points to the primacy of interviewing in the clinical process. The quality of interviewing determines the quality of data that are collected and, eventually, of assessment and treatment. Thus, interviewing deserves more attention in educational training and more space in clinical encounters than it is currently receiving.

Sleep deprivation from mid-gestation leads to impaired of motor coordination in young offspring mice with microglia activation in the cerebellar vermis.

OBJECTIVE: To investigate the effects of mid-pregnancy sleep deprivation (SD) in C57BL/6 J mice on the motor coordination of the offspring and to explore the potential mechanism of microglia activation in the cerebellar vermis of the offspring involved in the induction of impaired motor coordination development. METHODS: C57BL/6 J pregnant mice were randomly divided into the SD and control groups. SD was implemented by the multi-platform method from first day of the middle pregnancy (gestation day 8, GD8). At postnatal day 21 (PND21), we measured the development of motor behavior and collected cerebellar vermis tissues to observe the activation of microglia by H&E staining, the expression of microglia-specific markers ionized calcium-binding adaptor molecule-1 (Iba-1) and cluster of differentiation 68 (CD68) by immunohistochemical, and interleukin-4 (IL-4), interleukin-6 (IL-6), interleukin-10 (IL-10), and tumor necrosis factor -α (TNF-α) by real-time quantitative PCR (RT-qPCR). RESULTS: In the offspring of SD group, comparing to the control group, the total time of passage and the reverse crawl distance in the balance beam test, and the frequency of falls from the suspension cord was increased; with lower max rotational speed and shorter duration in the rotarod experiment. Further, we found that the microglia of cerebellar vermis tissues emerged an amoeba-like activation. The mean gray value of Iba-1 was lower, the density of positive cells of CD68 and the expression levels of IL-6 and TNF-α were increased. CONCLUSIONS: The motor coordination of offspring is impaired, accompanying a SD from mid-pregnancy, and the cerebellar vermis showed microglia activation and pro-inflammatory response. It suggested the adverse effects of SD from mid-gestation on the development of motor coordination through the inflammatory response in the cerebellar vermis of the offspring.