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Major depressive disorder (MDD) is a complex disorder caused by genetic and environmental factors. Previous evidence implicates a potential depression subtype from interaction between childhood maltreatment (CM) and kynurenine pathway (KP) gene. Here, we investigated the top-down multi-omics KP alterations for this subtype.
Methods
A total of 142 patients with MDD receiving monotherapy were included. Individuals carrying IDO2 rs2340953 TT genotype and reporting CM were classified as IDO2-CM group, whereas the remaining patients were categorized as non-IDO2-CM group. Plasma KP metabolites, DNA methylation, KP-related protein, and inflammatory protein were profiled. Group differences were examined using regression models adjusting for relevant covariates.
Results
Thirty patients met criteria for the IDO2-CM group. Compared with non-IDO2-CM, IDO2-CM individuals exhibited significantly poorer response rate to antidepressant at weeks 4 and 8. Metabolite analyses revealed a significantly elevated quinolinic acid (QA)/kynurenine (KYN) ratio and QA/kynurenic acid (KYNA) ratio in IDO2-CM group (β = 0.086, SE = 0.042, P = 0.023; β = 0.164, SE = 0.045, P = 0.0006). Epigenetic analyses of KP genes demonstrated coordinated methylation shifts favoring QA production (hypomethylation of KMO and AFMID; hypermethylation of ACMSD) and suppression of KYNA related enzymes (hypermethylation of CCBL1, CCBL2, AADAT, and GOT2). Proteomic profiling identified reduced circulating levels of KYNU and VCAM1 in IDO2-CM group.
Conclusions
CM interacting with IDO2 genotype defines a biologically distinct MDD subtype characterized by poor antidepressant response and convergent multi-omics evidence of KP bias toward neurotoxic metabolism. These findings support a stratification strategy and highlight the KP as a potential target for precision treatment in depression.
The buoyancy-driven natural convection induced by submerged thermal vertical pipes acts as a passive thermal pump without moving parts, characterised by efficient heat transfer. It comprises three key components: natural convection inside the pipe, a thermal plume above the pipe exit and a radial intrusion flow along the upper free surface. Our previous work (Nie & Xu 2022 J. Fluid Mech., vol. 937, A29) investigated transient natural convection in a vertical pipe for fluids with a Prandtl number (${\textit{Pr}}$) less than unity. In this study we extend the scaling analysis to water (${\textit{Pr}}\gt 1$), which exhibits fundamentally different dynamics due to the dominance of viscous diffusion over thermal diffusion. We identify three distinct flow configurations, each undergoing a transient development before reaching a fully developed state: (i) the boundary layer flow; (ii) the bulk momentum flow with thermal boundary layer, characterised by a merged velocity layer but a distinct thermal layer; and (iii) the pipe flow resulting from the simultaneous merging of both the velocity and thermal boundary layers. Scaling laws governing the flow and heat transfer across these regimes are derived. Moreover, scaling analyses for the external thermal plume and the radial intrusion flow are also performed. All scaling laws are validated, for the axisymmetric and laminar regime, by extensive numerical simulations.
This real-world study aimed to characterize patients with schizophrenia who achieve sustained good functional outcomes after antipsychotic discontinuation and to develop the Functional Remission in Schizophrenia after Antipsychotic Discontinuation (FURSAD) predictive model.
Methods
We retrospectively identified individuals aged 18–65 years with schizophrenia (ICD-10) from the Shanghai Mental Health Center discharge database. Patients who discontinued antipsychotics for ≥1 year were classified as functional remission (FR) or functional non-remission (FNR) based on functioning assessments. Sociodemographic, clinical, and treatment-related data were extracted blindly from hospital records and structured interviews.
Results
Among 4,166 discharged patients screened, 180 met the inclusion criteria (FR: 116; FNR: 64). Six independent predictors were identified: total disease course, Clinical Global Impression-Severity (CGI-S) score, Positive and Negative Syndrome Scale (PANSS) emotional distress subscale score, use of first-generation antipsychotics, discontinuation due to treatment benefits, and discontinuation due to lack of insight. The logistic regression model showed strong predictive performance (AUC = 0.867, 95% CI 0.813–0.921), with 82.8% sensitivity and 81.9% specificity. Internal validation was performed via 10-fold cross-validation.
Conclusion
Discontinuation motives and illness trajectory are relevant in predicting long-term functional outcomes. A limitation is that a substantial number of patients could not be recontacted or declined participation, which may introduce selection bias. The FURSAD nomogram may help clinicians estimate the probability of FR 4.5 years post-antipsychotic discontinuation in patients previously on antipsychotics for ≥3 years.
In this article, by utilizing the properties of elliptic functions, we characterize the meromorphic solutions of Fermat-type functional equations $f(z)^{n}+f(L(z))^{m}=1$ over the complex plane $\mathbb {C}$, where $L(z)$ is a nonconstant entire function, and m and n are two positive integers. As applications, we also investigate the meromorphic solutions of Fermat-type difference and q-difference equations.
Laser-driven plasma wakefield acceleration (LWFA) offers exceptionally high acceleration gradients and can produce high-brightness electron beams. However, the laser-to-electron energy conversion efficiency typically remains limited to a few percent. Theoretically, the self-mode transition from LWFA to beam-driven plasma wakefield acceleration (PWFA) provides a pathway for fully utilizing the laser energy. Here, we demonstrate the single-stage LPWFA (hybrid LWFA–PWFA) scheme, validated through comparative experiments using a 300 TW tightly focused laser interacting with sub-critical density nitrogen gas targets. The experiments produce an electron beam with charge of approximately 31 nC above 6 MeV and approximately 116 nC above 2 MeV. The laser-to-electron energy conversion efficiency is approximately 6.1% (>6 MeV) and 16.4% (>2 MeV), respectively. Particle-in-cell simulations confirm that the single-stage LPWFA mechanism depletes the laser energy and enables continual electron injection. This high-charge, multi-MeV electron beam has great value in the generation of high-brightness $\unicode{x3b3}$-rays and high-flux neutron sources.
Radio recombination line (RRL) maser is a useful tool to study massive star formation regions with ionised gas close to new born massive stars. Masers often show sharp line profiles and/or extreme narrow widths, and high brightness temperatures. However, RRL masers were rarely detected only in several sources. Here we report the detection of sharp line profiles of the RRL H29$\alpha$, which can be interpreted as maser candidates, in two sources within W49A, a mini-starburst region in our Galaxy. These observations, conducted with high resolution ($\sim0.03''$) using the Atacama Large Millimeter/sub-millimeter Array (ALMA), reveal high brightness temperatures up to $\sim$9 000 K for H29$\alpha$ emission in another two sources, which might also be regarded as maser candidates. Additionally, suggestions for efficiently identifying RRL maser candidates are also provided.
Power scaling of neodymium (Nd)-doped single-frequency fiber lasers (SFFLs) operating at approximately 900 nm has been fundamentally constrained by dominant emission of approximately 1060 nm, with previous demonstrations limited to below 3 W. Here, we demonstrate a 910 nm single-mode Nd-doped SFFL system that achieves a record output power of over 30 W employing homemade Nd-doped silica fiber (NDF), while preserving exceptional 49 dB suppression of competing emission of approximately 1060 nm. The laser system originates from a distributed Bragg reflector single-frequency (SF) oscillator with 11 mW output power, which is subsequently amplified to 31.1 W through three polarization-maintaining (PM) amplification stages utilizing PM 10/125 μm NDF. To the best of our knowledge, this represents the highest power achieved for Nd-doped SFFLs in this spectral region. The output exhibits excellent beam quality (Mx2 = 1.03, My2 = 1.05) and narrow linewidth (10.2 kHz). These results validate that the homemade PM 10/125 μm NDF can be employed in intermediate and main amplifiers in all-fiber SF master oscillator power amplifier systems at approximately 900 nm.
Hepatocellular carcinoma (HCC) is associated with high mortality and imposes substantial symptom and psychological burdens; however, the impact of different treatment modalities on quality of life (QoL) and mental health remains underexplored. This study aimed to examine the associations among symptom distress, depression, and QoL across various HCC treatments.
Methods
A cross-sectional study was conducted with 101 inpatients at a regional hospital in Taiwan (October 2020–December 2021). Patients received hepatic resection (HR), radiofrequency ablation (RFA), transarterial chemoembolization (TACE), hepatic arterial infusion chemotherapy (HAIC), or immunotherapy (IT). Data were collected using the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire Core-30 (EORTC QLQ-C30), the Hospital Anxiety and Depression Scale (HADS), and the Brief Symptom Rating Scale (BSRS).
Results
RFA patients reported better functional scores (96.13 ± 7.55) and lower HADS scores (18.31 ± 4.92) than those treated with TACE, HAIC, or IT (function: 87.77 ± 17.77; HADS: 23.26 ± 7.66). These differences may reflect earlier disease stage and better baseline health in RFA recipients. Older age and advanced stage were associated with poorer global health (p < 0.05), while female gender (β = − 7.38, p = 0.014) and disease recurrence (β = − 6.48, p = 0.019) were associated with lower functional status.
Significance of results
Treatment type, disease stage, and demographics significantly shape QoL and mental health in HCC patients. Minimally invasive therapies like RFA may preserve QoL in early-stage disease, while invasive or palliative treatments necessitate greater psychosocial support.
In this paper, a novel series–parallel stable platform is proposed, and its kinematic and dynamic models are established. The relationship between the length, speed, and acceleration of rolling and pitching electric push rods is analyzed. The workspace of the series–parallel stable platform is determined, and the singularity and interference are analyzed. The state-machine-based control system of the stable platform is designed. An experimental environment of the principle of the real-time control system based on dSPACE was built. A position–speed double closed-loop experiment, simulating mounting carrier of the random signal tracking, and system comprehensive performance experiment were conducted to verify the accuracy of the kinematics and dynamics model of the series–parallel stable platform and the rationality and stability of the control system.
This study investigates structural abnormalities in hippocampal subfield volumes and shapes, and their association with plasma CC chemokines in individuals with major depressive disorder (MDD).
Methods
A total of 61 patients with MDD and 65 healthy controls (HC) were recruited. All participants underwent high-resolution T1-weighted imaging and provided blood samples for the detection of CC chemokines (CCL2, CCL7, and CCL11). Comparisons of hippocampal subregion volumes, surface shapes, and plasma CC chemokine concentrations were conducted between the MDD and HC groups. Furthermore, partial correlation analysis was performed to assess the relationship between structural abnormalities (hippocampal subfield volume and shape) and plasma CC chemokine levels.
Results
The MDD group exhibited a significant reduction in the volume of the left hippocampal tail compared to the HC group (F = 9.750, Bonferroni-corrected p = 0.026). No significant outward or inward deformation of the hippocampus was detected in MDD patients relative to the HC group (all FWE-corrected p > 0.05). Additionally, plasma CCL11 levels were elevated in the MDD group compared to the HC group (F = 9.982, p = 0.002), with these levels showing a positive correlation with the duration of the illness (r = 0.279, p = 0.029). Partial correlation analysis further revealed a negative correlation between the smaller left hippocampal tail volume and plasma CCL11 levels in MDD patients (r = −0.416, p = 0.001).
Conclusion
Abnormally elevated plasma CCL11 in MDD patients may mediate damage to specific hippocampal substructures.
with the eikonal equation as a prototype. By the elementary row transformation of a matrix, we offer an affirmative answer to a question of Xu-Liu-Xuan in Xu et al. (J. Math. Anal. Appl.543 (2025), ID 128885, 21 p.).
Tumour immunotherapy holds great promise as a treatment for cancer, which ranks as the second highest cause of mortality worldwide. This therapeutic approach can be broadly categorized into two main types: active immunotherapy and passive or adoptive immunotherapy. Active immunotherapy, such as cancer vaccines, stimulates the patients’ immune system to target tumour cells. On the other hand, adoptive immunotherapy involves supplying in vitro activated immune cells, such as T cells, natural killer cells and macrophages, to the patient to combat the tumour. Induced pluripotent stem cells are extensively utilized in both active and adoptive tumour immunotherapy due to their pluripotency and ease of gene editing. They can be differentiated into various types of immune cells for direct cancer treatment and can also function as tumour vaccines to elicit an immune response against the tumour. Importantly, iPSCs can be leveraged to develop off-the-shelf allogenic immunotherapy products.
Conclusion
This article provides a comprehensive review of the application of iPSCs in tumor immunotherapy, along with a discussion of the opportunities and challenges in this evolving field.
A dual-beam platform is developed for all-optical Thomson/Compton scattering, with versatile parameter tuning capabilities including electron energy, radiation energy, radiation polarization, etc. By integrating this platform with a 200 TW Ti:sapphire laser system, we demonstrate the generation of inverse Compton scattering X-/gamma-rays with tunable energies ranging from tens of keV to MeV. The polarization of X-/gamma-rays is manipulated by adjusting the polarization of the scattering laser. In the near future, by combining this platform with multi-PW laser facilities, our goal is to explore the transition from nonlinear Thomson scattering to nonlinear Compton scattering, ultimately verifying theories related to strong-field quantum electrodynamics effects induced by extreme scattering.
An actively controllable cascaded proton acceleration driven by a separate 0.8 picosecond (ps) laser is demonstrated in proof-of-principle experiments. MeV protons, initially driven by a femtosecond laser, are further accelerated and focused into a dot structure by an electromagnetic pulse (EMP) on the solenoid, which can be tuned into a ring structure by increasing the ps laser energy. An electrodynamics model is carried out to explain the experimental results and show that the dot-structured proton beam is formed when the outer part of the incident proton beam is optimally focused by the EMP force on the solenoid; otherwise, it is overfocused into a ring structure by a larger EMP. Such a separately controlled mechanism allows precise tuning of the proton beam structures for various applications, such as edge-enhanced proton radiography, proton therapy and pre-injection in traditional accelerators.
The robot manipulator is commonly employed in the space station experiment cabinet for the disinfection task. The challenge lies in devising a motion trajectory for the robot manipulator that satisfies both performance criteria and constraints within the confined space of an experimental cabinet. To address this issue, this paper proposes a trajectory planning method in joint space. This method constructs the optimal trajectory by transforming the original problem into a constrained multi-objective optimization problem. This is then solved and integrated with the seventh-degree B-spline curve. The optimization algorithm utilizes an indicator-based adaptive differential evolution algorithm, enhanced with improved Tent chaotic mapping and opposition-based learning for population initialization. The method employed the Fréchet distance to design a trajectory selection strategy based on the Pareto solutions to ensure that the planned trajectory complies with Cartesian space requirements. This allows the robot manipulator end-effector to approximate the desired path in Cartesian space closely. The findings indicate that the proposed method can effectively design the robot manipulator trajectory, considering both joint motion performance and end-effector motion constraints. This ensures that the robot manipulator operates efficiently and safely within the experimental cabinet.
In this article, we describe meromorphic solutions of certain partial differential equations, which are originated from the algebraic equation $P(f,g)=0$, where P is a polynomial on $\mathbb {C}^2$. As an application, with the theorem of Coman–Poletsky, we give a proof of the classic theorem: Every meromorphic solution $u(s)$ on $\mathbb {C}$ of $P(u,u')=0$ belongs to W, which is the class of meromorphic functions on $\mathbb {C}$ that consists of elliptic functions, rational functions and functions of the form $R(e^{a s})$, where R is rational and $a\in \mathbb {C}$. In addition, we consider the factorization of meromorphic solutions on $\mathbb {C}^n$ of some well-known PDEs, such as Inviscid Burgers’ equation, Riccati equation, Malmquist–Yosida equation, PDEs of Fermat type.
This paper provides an overview of the current status of ultrafast and ultra-intense lasers with peak powers exceeding 100 TW and examines the research activities in high-energy-density physics within China. Currently, 10 high-intensity lasers with powers over 100 TW are operational, and about 10 additional lasers are being constructed at various institutes and universities. These facilities operate either independently or are combined with one another, thereby offering substantial support for both Chinese and international research and development efforts in high-energy-density physics.
Smart agriculture is based on latest technologies in communication, big data analysis, high-performance sensors, and automatic machinery to improve the effectiveness of agriculture industry. China is looking forward to achieve modernization of its agriculture industry through smart agriculture. But its unique climate, landscape, diversity in crops, and large population make this task more challenging compared to other counties. Herein, we present the current achievements regarding policies made to guide and support the development of smart agriculture, the promotion of smart techniques and smart equipment, and the cultivation of specialists in smart agriculture. Then we discussed the existing challenges that hinder further development of smart agriculture industry and proposed several feasible solutions to solve or ease the problem, including the pertinent development of smart agriculture in provinces with different resources, enrich modes of online technical support and specialist cultivation, and set a series of standards to guide research and development of novel smart systems.
Using data from the China Health and Retirement Longitudinal Study, this research investigates how post-retirement employment influences older people’s expenditure in urban China. By broadening the understanding of post-retirement employment behaviour from a consumer welfare perspective, this study expands the literature on retirement consumption and provides theoretical explanations, empirical insights and policy recommendations. The findings reveal that post-retirement employment behaviour reduces urban retirees’ household expenditure and has a more significant effect on men than on women, but this effect diminishes as consumption levels rise. Increasing income, promoting social participation and improving subjective health outcomes are all potential channels through which post-retirement employment can affect consumption. Further analysis shows two main reasons why post-retirement employment reduces older people’s expenditure: first, the increase in subjective health levels resulting from post-retirement employment reduces healthcare expenditure; second, post-retirement employment does not promote social participation and self-rated health for all consumption levels and all genders of retirees – it also decreases expenditure. Preliminary evidence suggests that internet use positively moderates the negative impact of post-retirement employment on older people’s expenditure. These findings provide policy implications for retirement policies and the promotion of the silver economy.