ObjectiveTo explore the possible mechanisms of Shujin Jiannao Formula （舒筋健脑方） for cerebral palsy. MethodsThirty 7-day-old SD rats were randomly divided into normal group， model group， and Shujin Jiannao Formula group， with 10 rats in each group. The model group and Shujin Jiannao Formula group established a cerebral palsy model by the classic Rice-Vannucci method. After successful modeling， rats in Shujin Jiannao Formula group were given Shujin Jiannao Formula 16 g/（kg·d） by gavage， while the normal group and model group were given normal saline 10 ml/（kg·d） by gavage once a day. After one week of intervention， the rats' body weight was measured， and Zea-Longa scores， the righting reflex test， and the hindlimb suspension test were conducted for assessment； hematoxylin-eosin （HE） staining and Nissl staining were used to observe pathological changes in brain tissue， and the number of Nissl-positive neurons was counted； enzyme-linked immunosorbent assay （ELISA） was employed to measure levels of inflammatory cytokines in the brain tissue， specifically interleukin-1β （IL-1β） and tumor necrosis factor-α （TNF-α）； immunofluorescence was used to detect the expression levels of neurofilament protein 200 （NF200） and myelin basic protein （MBP） in brain tissue； Western Blot analysis was conducted to determine the protein levels of phosphoinositide 3-kinase （PI3K）， protein kinase B （Akt/PKB/Rac）， and mammalian target of rapamycin （mTOR） in brain tissue. ResultsCompared with the normal group， rats in the model group showed significantly higher Zea-Longa scores and lower scores in the hindlimb suspension test （P＜0.01）； pathological findings revealed loose structure in the cerebral cortex， hippocampal atrophy， and neuronal damage in brain tissue. Levels of IL-1β and TNF-α elevated， and the number of Nissl-stained positive neurons in the cortex and hippocampal CA1 region reduced， and immunofluorescence intensity of NF200 and MBP， as well as protein expression levels of PI3K and mTOR， significantly decreased （P＜0.05 or P＜0.01）. Compared with the model group， rats in Shujin Jiannao Formula group showed decreased Zea-Longa scores and increased hindlimb suspension test scores （P＜0.05）； pathological damage in brain tissue alleviated， levels of IL-1β and TNF-α reduced， the number of Nissl-stained positive neurons in the cortex and hippocampal CA1 region increased， and the immunofluorescence intensity of NF200 and MBP， as well as the protein levels of PI3K and mTOR， significantly elevated （P＜0.05 or P＜0.01）. There were no statistically significant differences among the groups in body weight， body-turning time， or AKT protein levels in brain tissue （P＞0.05）. ConclusionShujin Jiannao Formula can improve the neurological function of rats with cerebral palsy， exert neurorestorative effects， and its mechanism of action may be related to the reduction of inflammatory response in brain tissue and the activation of the PI3K/AKT/mTOR signaling pathway.

With the development of brain-computer interface technology （BCI）， its potential to enhance human cognitive and physical abilities continues to emerge， while also stimulating the“superhuman”enhancement impulse to try to push the boundaries of treatment. Overmodification of the body governed by the pursuit of BCI“superhuman”augmentation may lead to a series of ethical body dilemmas， such as issues of bodily autonomy， the risk and benefit of the body medical dimension， and how to define the idealized body at the social level when the natural body and the BCI technology-enhanced body compete in the future. Therefore， it is necessary to take positive measures to promote the development of brain-computer interface technology in the process of continuous innovation and ethical responsibility.

In recent years, the application of artificial intelligence (AI) in the field of biology has witnessed remarkable advancements. Among these, the most notable achievements have emerged in the domain of protein structure prediction and design, with AlphaFold and related innovations earning the 2024 Nobel Prize in Chemistry. These breakthroughs have transformed our ability to understand protein folding and molecular interactions, marking a pivotal milestone in computational biology. Looking ahead, it is foreseeable that the accurate prediction of various physicochemical properties of proteins—beyond static structure—will become the next critical frontier in this rapidly evolving field. One of the most important protein properties is thermodynamic stability, which refers to a protein’s ability to maintain its native conformation under physiological or stress conditions. Accurate prediction of protein stability, especially upon single-point mutations, plays a vital role in numerous scientific and industrial domains. These include understanding the molecular basis of disease, rational drug design, development of therapeutic proteins, design of more robust industrial enzymes, and engineering of biosensors. Consequently, the ability to reliably forecast the stability changes caused by mutations has broad and transformative implications across biomedical and biotechnological applications. Historically, protein stability was assessed via experimental methods such as differential scanning calorimetry (DSC) and circular dichroism (CD), which, while precise, are time-consuming and resource-intensive. This prompted the development of computational approaches, including empirical energy functions and physics-based simulations. However, these traditional models often fall short in capturing the complex, high-dimensional nature of protein conformational landscapes and mutational effects. Recent advances in machine learning (ML) have significantly improved predictive performance in this area. Early ML models used handcrafted features derived from sequence and structure, whereas modern deep learning models leverage massive datasets and learn representations directly from data. Deep neural networks (DNNs), graph neural networks (GNNs), and attention-based architectures such as transformers have shown particular promise. GNNs, in particular, excel at modeling spatial and topological relationships in molecular structures, making them well-suited for protein modeling tasks. Furthermore, attention mechanisms enable models to dynamically weigh the contribution of specific residues or regions, capturing long-range interactions and allosteric effects. Nevertheless, several key challenges remain. These include the imbalance and scarcity of high-quality experimental datasets, particularly for rare or functionally significant mutations, which can lead to biased or overfitted models. Additionally, the inherently dynamic nature of proteins—their conformational flexibility and context-dependent behavior—is difficult to encode in static structural representations. Current models often rely on a single structure or average conformation, which may overlook important aspects of stability modulation. Efforts are ongoing to incorporate multi-conformational ensembles, molecular dynamics simulations, and physics-informed learning frameworks into predictive models. This paper presents a comprehensive review of the evolution of protein thermodynamic stability prediction techniques, with emphasis on the recent progress enabled by machine learning. It highlights representative datasets, modeling strategies, evaluation benchmarks, and the integration of structural and biochemical features. The aim is to provide researchers with a structured and up-to-date reference, guiding the development of more robust, generalizable, and interpretable models for predicting protein stability changes upon mutation. As the field moves forward, the synergy between data-driven AI methods and domain-specific biological knowledge will be key to unlocking deeper understanding and broader applications of protein engineering.

Background::There is a need for effective and safe therapies for psoriasis that provide sustained benefits. The aim of this study was to assess the efficacy and safety of tildrakizumab, an anti-interleukin-23p19 monoclonal antibody, for treating moderate-to-severe plaque psoriasis in Chinese patients.Methods::In this multi-center, double-blind, phase III trial, patients with moderate-to-severe plaque psoriasis were enrolled and randomly assigned (1:1) to receive subcutaneous tildrakizumab 100 mg or placebo at weeks 0 and 4. Patients initially assigned to placebo were switched to receive tildrakizumab at weeks 12, 16, and every 12 weeks thereafter. Patients in the tildrakizumab group continued with tildrakizumab at week 16, and every 12 weeks until week 52. The primary endpoint was the Psoriasis Area and Severity Index (PASI 75) response rate at week 12.Results::At week 12, tildrakizumab demonstrated significantly higher PASI 75 response rates (66.4% [73/110] vs. 12.7% [14/110]; difference, 51.4% [95% confidence interval (CI), 40.72, 62.13]; P <0.001) and Physician’s Global Assessment (60.9% [67/110] vs. 10.0% [11/110]; difference, 49.1% [95% CI, 38.64, 59.62]; P <0.001) compared to placebo. PASI 75 response continued to improve over time in both tildrakizumab and placebo-switching to tildrakizumab groups, reaching maximal efficacy after 28 weeks (86.8% [92/106] vs. 82.4% [89/108]) and maintained up to 52 weeks (91.3% [95/104] vs. 87.4% [90/103]). Most treatment-emergent adverse events were mild and not related to tildrakizumab. Conclusion::Tildrakizumab demonstrated durable efficacy through week 52 and was well tolerated in Chinese patients with moderate-to-severe plaque psoriasis.Trial registration::ClinicalTrials.gov, NCT05108766.

Background::Limited information exists regarding the impact of severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) infection on psoriasis patients. The objective of this study was to identify clinical factors associated with the prognosis of psoriasis following SARS-CoV-2 infection.Methods::A retrospective, multicenter study was conducted between March and May 2023. Univariable and multivariable logistic regression analyses were employed to identify factors associated with coronavirus disease 2019 (COVID-19)-related psoriasis outcomes. The study included 2371 psoriasis patients from 12 clinical centers, with 2049 of them having been infected with SARS-CoV-2.Results::Among the infected groups, lower exacerbation rates were observed in individuals treated with biologics compared to those receiving traditional systemic or nonsystemic treatments (22.3% [236/1058] vs. 39.8% [92/231] vs. 37.5% [140/373], P <0.001). Psoriasis progression with lesions (adjusted odds ratio [OR] = 8.197, 95% confidence interval [95% CI] = 5.685–11.820, compared to no lesions), hypertension (adjusted OR = 1.582, 95% CI = 1.068–2.343), traditional systemic (adjusted OR = 1.887, 95% CI= 1.263–2.818), and nonsystemic treatment (adjusted OR= 1.602, 95% CI= 1.117–2.297) were found to be associated with exacerbation of psoriasis after SARS-CoV-2 infection, but not biologics (adjusted OR = 0.931, 95% CI = 0.680–1.274, compared to no treatment), according to multivariable logistic regression analysis. Conclusions::A reduced risk of psoriasis exacerbation after SARS-CoV-2 infection was observed with biologics compared to traditional systemic and nonsystemic treatments. Significant risk factors for exacerbation after infection were identified as existing psoriatic lesions and hypertension.

Aim To investigate the effect of recombi-nant glycoprotein hormone β5/α2(rCGH)on lipolysis in 3T3-L1 adipocytes,and explore the underlying mechanism.Methods 3T3-L1 preadipocytes were cultured and induced to differentiate into mature adipo-cytes,then treated with different concentrations of rCGH for 24 h in vitro.Cell viability of 3T3-L1 adipo-cytes was evaluated by CCK-8 assay,the levels of in-tracellular triglyceride(TG)and glycerol in the culture supernatant were measured by enzymatic method,and the changes of lipid droplets were observed by oil red O staining.The expression levels of HSL and ATGL lipo-lytic proteins in adipocytes were detected by Western blot.To carry out the intervention experiment with dif-ferent concentrations of rCGH with or without the PKA inhibitor,H89,on the mature 3T3-L1 adipocytes,the cultured cells were divided into the control group,H89 pre treatment group,1 μmol·L-1 rCGH group,and(1 μmol·L-1 rCGH+H89)combined intervention group.The contents of intracellular TG and free glycer-ol were measured by enzymatic method,and the ex-pression of CREB and lipolysis-related proteins was de-tected using Western blot.Results Different concen-trations of rCGH(0.25,0.5,1,and 2 μmol·L-1)had no significant effect on the cell viability of adipo-cytes(P＞0.05).Compared with the control group,the treatment with rCGH significantly decreased the size of lipid droplets and intracellular TG content,while significantly elevated glycerol concentration in cell supernatant.rCGH treatment also stimulated the protein expression of p-HSL,ATGL,and p-PKA.In addition,the addition of a PKA inhibitor,H89,atten-uated the effects of rCGH on free glycerol level,intra-cellular TG content,and the expression of p-HSL,p-PLIN1,and p-CREB.Conclusions rCGH enhances the lipolysis of 3T3-L1 adipocytes by up-regulating the activities of HSL,ATGL and PKA,promoting glycerol release,inhibiting TG synthesis and lipid accumula-tion,and its mechanism of action is related to the acti-vation of cAMP/PKA/CREB signaling pathway.

Aim This study aims to investigate the therapeutic effect and underlying mechanism of Todda-lia asiatica in the treatment of ischemic stroke(IS),utilizing network pharmacology,molecular docking technology,and animal experiments.Methods To screen the chemical components of Toddalia asiatica and its targets related to IS,a database was utilized.A protein-protein interaction(PPI)network was con-structed,followed by KEGG pathway enrichment anal-ysis.Molecular docking was performed to investigate the interaction between the components and target pro-teins.Finally,the effects of the drug on the PI3K/AKT/mTOR pathway and autophagy were validated through animal experiments.We established a middle cerebral artery occlusion(MCAO)rat model and di-vided the rats into the model group,Donepezil hydro-chloride group,Toddalia asiatica group,and sham op-eration group randomly.Observed the pathological changes in neurons of the rat hippocampal and cortical regions induced by the drug,performed immunohisto-chemical analysis to detect and localize mTOR expres-sion,and used Western blot to assess the expression levels of PI3K,p-PI3K,AKT,p-AKT,mTOR,as well as autophagy markers(LC3-Ⅱ and p62).Re-sults A total of 22 active ingredients from Toddalia asiatica,including AKT1 and MAPK3,were identified through screening.Additionally,194 signaling path-ways,such as PI3K/AKT and MAPK,were analyzed.The active compounds in Toddalia asiatica demonstra-ted stable binding affinity with targets associated with ischemic stroke.The results of the animal experiment indicated that,compared to the sham-operated group,the neuronal distribution in the hippocampal and corti-cal regions of the model group rats became sparser and more disorganized.There was a decrease in the number of Nissl bodies and cytoplasmic vacuolization.The ex-pression of mTOR-positive cells in the hippocampal and cortical regions was reduced.Additionally,the ex-pression levels of p-PI3K,p-AKT,mTOR,and p62 in the rat hippocampal tissue decreased(P＜0.05,P＜0.01),while the expression of LC3-Ⅱ increased(P＜0.01).Compared with the model group,the rats in the Toddalia asiatica and the Donepezil hydrochloride groups effectively improved the aforementioned indica-tors in rats.Conclusions Network pharmacology a-nalysis has revealed the promising potential of Toddalia asiatica in treating ischemic stroke,attributed to its di-verse components,targets,and pathways.The animal experiment showed that Toddalia asiatica can protect the neuronal structure in the hippocampal and cortical regions,which may be related to the inhibition of ex-cessive autophagy mediated by the PI3 K/AKT/mTOR pathway.

Neuropsychiatric disorders such as Parkinson disease,Alzheimer disease,and schizo-phrenia may induce hallucinations,delusions,and other psychiatric symptoms during the course of disease development.These symptoms are highly prevalent and difficult to cure,and have a impact on the lives of patients.Classical antipsychotic drugs such as chlorpromazine,sulpiride and perphenazine can con-trol related symptoms,but they can also cause uncontrollable extrapyramidal system reactions and side effects such as hyperprolactinemia.In recent years,it has been found that non-classical antipsy-chotics such as olanzapine,clozapine,risperidone and pimovanserin can treat hallucinatory symptoms in neuropsychiatric disorders by antagonising the 5-hydroxytryptamine 2A(5-HT2A)receptor,or by antago-nising both the 5-HT2A receptor(strong)and the dopamine 2(D2)receptor(weak).In preclinical studies,non-classical antipsychotic drugs have shown great therapeutic effects against hallucination induced by multiple factors.Clinical studies have confirmed that these drugs improve psychotic symptoms(mainly hallucinations and delusions)significantly.In patients who are insensitive or tolerant to clozapine and risperidone,pimavanserin still shows therapeutic effects.At the same time,the incidence and severity of adverse reactions to non-classical antipsychotic drugs are reduced,and they are well tolerated.This article reviews the research progress in the role of 5-HT2A receptor antagonists in attenuating hallucino-genic symptoms so as to provide reference for the design and development of new therapeutic drugs.

Objective To investigate the clinical effect of orthopedic robot combined with Starr pelvic reduction frame in the treatment of Tile type C pelvic ring fracture.Methods From October 2019 to May 2021,14 patients with type C pelvic ring fracture were treated with robotic combined with Starr pelvic reduction frame,including 9 males and 5 females.The age ranged from 33 to 69 years.All the 14 patients had fresh closed fractures without femur,tibia and fibula fracture.Surgery was complet-ed from 4 to 7 d after hospital admission.During the operation,the X-ray carbon bed was used,the pelvic ring was reduced by Starr pelvis reduction frame,and pelvic ring fracture was treated by orthopedic robot.Operation time,bleeding volume,fluo-roscopy times of single screw placement,fracture reduction quality,affected limb function and complications were observed.Radiological reduction was evaluated using Matta scoring standard,and clinical efficacy was evaluated by Majeed pelvic func-tion scoring system at the final follow-up.Results All of 14 patients successfully completed the operation,the operation time was 84 to 141 min,the bleeding volume was 20 to 50 ml,and the fluoroscopy times of single screw insertion was 4 to 9 times.All of 14 patients were followed up for 12 to 24 months.The healing time was 3 to 7 months.No complications such as fracture of internal fixation,screw loosening,infection and nerve injury were found.According to the evaluation criteria of Matta imag-ing reduction,9 cases were excellent,4 cases were good,and 1 case was fair.At the final follow-up,Majeed pelvic function scoring system was used:10 cases were excellent,4 cases were good.Conclusion The treatment of type C pelvic ring fracture with robotic combined Starr pelvis reduction frame is simple,time-saving,less trauma,less complications and effective.

Objective To explore the incidence and imaging characteristics of bifid ribs of Tibetan population in Kangbei area by multi-slice spiral CT(MSCT),in order to provide imaging reference for clinical diagnosis and treatment.Methods The imaging data of 1 253 Tibetan patients(661 males and 592 females)in Kangbei area who underwent chest MSCT examination were retrospectively analyzed.The incidence of bifid ribs and its differences between genders and sides were counted.The location of bifid ribs,the morphological charac-teristics of the junction of bifid ribs and costal cartilage,and the change of adjacent intercostal space were observed.Results Among 1 253 patients with chest MSCT,57 patients had bifid ribs,with a total of 64 bifid ribs.The incidence of bifid ribs at the patient level was 4.55%,of which 51 cases had single bifid rib and 6 cases had multiple bifid ribs;the incidence of bifid ribs in male was 4.99%(33/661),the female was 4.05%(24/592),and the difference between genders was not statistically significant(P>0.05).The incidence of bifid ribs was 56.14%(32/57)on the right side,33.33%(19/57)on the left side,and 10.53%(6/57)on both sides,the differences between different sides were statistically significant(P<0.05).The bifid ribs were found in the 2nd to 8th ribs,mainly in the 3rd to 5th ribs.A total of 55(85.94%)junctions of bifid ribs and costal cartilage were obturator type,5(7.81%)junctions were incompletehole shape type,3(4.69%)junctions were double costal cartilage type and 1(1.56%)junction was other type;62(96.88%)junctions were narrow in the upper intercostal space.Conclusion The incidence of bifid ribs of the Tibetan population in Kangbei area is 4.55%,which mainly occurs in the 3rd to 5th ribs,and the obturator type is more common,with the upper intercostal space narrow.MSCT can make accurate diagnosis of bifid ribs and provide accurate imaging evaluation for clinical practice.