OBJECTIVE To comprehensively analyze the effectiveness， safety and economic value of carfilzomib in the treatment of multiple myeloma （MM）， and provide evidence-based guidance for clinical rational drug use. METHODS A systematic search was performed in PubMed， Embase， the Cochrane Library， Web of Science， CNKI， Wanfang， VIP， and relevant health technology assessment （HTA） websites， from database inception to December 31， 2024. Two researchers independently screened studies based on predefined inclusion and exclusion criteria， extracted data， and assessed study quality. Descriptive statistical analyses were conducted. RESULTS A total of 21 studies were included， comprising 7 systematic reviews/meta-analyses， 5 clinical trials， 5 pharmacoeconomic studies， and 4 HTA reports. Effectiveness analysis indicated that， compared with control groups， carfilzomib significantly improved overall response rate and clinical benefit rate （ P ＜0.05）， prolonged progression-free survival， and enhanced patient’s quality of life （ P ＜0.05）， while its impact on overall survival remains to be further confirmed. Safety analysis showed there was no significant difference in the risk of peripheral neuropathy between carfilzomib and controls， while the risks of cardiotoxicity and hypertension were significantly increased （ P ＜0.05）. Economic analysis suggested that carfilzomib regimens demonstrated certain cost-effectiveness in second-line treatment in the U.S. and some European countries. However， its economic value was influenced by drug price， dosing regimen， and regional differences， and it may lack a cost advantage in some countries or in third-line treatment. CONCLUSIONS Carfilzomib shows definite efficacy and generally acceptable safety in the treatment of MM， but cardiotoxicity and hypertension risks require careful monitoring. Given its high treatment cost， pharmacoeconomic studies in the Chinese population are urgently needed.

Objective: To analyze the intervention effects of moderate to vigorous classroom physical exercise on psychological sub health among Uyghur junior high school students, providing reference for mental health promotion and intervention in the ethnic group. Methods: From April to July 2022, 647 eighth grade Uighur junior high school students from two middle schools in the Kashgar Prefecture, Xinjiang, were selected using a random cluster digital sampling method. They were randomly assigned to a control group ( n =326) and an intervention group ( n =321). While adhering to the regular curriculum, the intervention group additionally received 12 week, 36 session (every Monday, Wednesday, and Friday afternoon) moderate to vigorous classroom physical exercise intervention (45 minutes per session, including warm up, main exercises, and cool down activities). Self administered psychological sub health was completed through Brief Instrument on Psychological Health of Youths before and after intervention, and the data were analyzed using covariance analysis. Results: Before intervention, there were no statistically significant differences between the control and intervention groups in the total scores for psychological sub health or in the scores for the three dimensions including emotional problems, conduct problems, and social adaptation difficulties ( t =0.76, 0.40, 0.01, 0.94 , all P >0.05). After intervention, the scores of the intervention group s junior high school students on the emotional problems, conduct problems, and social adaptation difficulties dimensions decreased by 0.50, 0.28, and 0.18, respectively, compared with the control group, and all differences were statistically significant ( t =3.35, 3.36, 2.07, all P <0.05). The main effect of the psychological sub health category was statistically significant ( F =60.66, P <0.01, partial η 2=0.09). Compared with the control group, the psychological sub health scores of junior high school students in the intervention group decreased by 0.96 ( t =3.42, P < 0.05 ). Conclusion The 12 week moderate to vigorous classroom physical exercise intervention has a positive effect on the psychological sub health of Uyghur junior high school students.

Objective To understand mosquito density, species composition, and seasonal variations around the Beijing Capital International Airport(BCIA)and provide scientific evidence for mosquito-borne disease prevention and control. Methods Meteorological data were collected from 2016 to 2022, and mosquito density was monitored at seven surveillance sites around the BCIA from May to October each year using CO2-baited mosquito traps to analyze the relationship between mosquito density and meteorological factors. Results In total,68 518 female mosquitoes were captured, with a mosquito density of 10.20 per light · hour. The dominant species was Culex pipiens pallens(73.90%), followed by Aedes albopictus(9.71%)and Ae. vexans(9.29%);the mosquito density was highest in 2016(14.8 per light·hour)and lowest in 2022(4.46 per light·hour). Significant statistical differences were observed in mosquito density among different species(F=18.118, P<0.05). The density of Cx. pipiens pallens and other mosquito species showed a mutually exclusive trend; the peak of mosquito density varied based on years and habitats, with significant statistical differences in mosquito density among different habitats(F=8.504, P<0.05). The highest mosquito density was observed near the Wenyu River(21.50 per light·hour), whereas the lowest was recorded at the BCIA construction site(2.44 per light· hour). The monthly average temperature(r=0.595), monthly average highest temperature(r=0.575), and monthly average lowest temperature(r=0.624)showed moderate positive correlations, whereas the monthly average air pressure(r=-0.484)showed a moderate negative correlation. The monthly average minimum temperature was included in the regression model(F=25.575, P<0.000), and the equation Y=1.029X4-8.181 was used. The monthly average air pressure 2 months prior(b=-2.418, β=-1.619, P<0.05)and the monthly average relative humidity(b=-0.739, β=-1.201, P<0.05)significantly negatively predicted the mosquito density. Notably, the regression equation used was y=2526.170+(-2.418)X9+(-0.739)X13. The exposure-response analysis revealed that the density of mosquitoes was not linearly related to the average monthly air pressure, rainfall, and duration of sunshine. Conclusions The dominant mosquito species around the BCIA was Cx. pipiens pallens, Ae. albopictus, and Ae. vexans. During the control of Cx. pipiens pallens, the impact on other mosquito species must also be considered. Environmental management, breeding sites, and scientific use of pesticides should be prioritized based on the activity periods of mosquitoes. Further studies on mosquitoes and meteorological factors should be conducted to provide references and novel avenues for mosquito control.

Alzheimer’s disease (AD) is pathologically characterized by cerebral amyloid β‑protein (Aβ) aggregation, neurofibrillary tangles and progressive cognitive deterioration. There is an urgent clinical demand for targeted therapeutic agents against AD, whereas the blood-brain barrier (BBB) acts as a critical physical barrier that blocks over 98% small-molecule drugs and nearly all biomacromolecules from entering brain parenchyma. Nanomedicine-based drug delivery systems (NDDSs) with tunable physicochemical properties can cross the BBB via multiple transcytosis pathways including adsorptive-mediated, receptor-mediated and transporter-mediated routes, opening a promising avenue for targeted AD treatment. A core academic viewpoint proposed herein is that robust in vitro endothelial penetration of nanocarriers cannot guarantee effective accumulation in brain target cells. Comprehensive evaluation of BBB-crossing delivery efficiency should not merely rely on in vitro permeability tests, but cover the full multi-step transcytosis cascade, cellular tropism in brain tissues and in vivo therapeutic outcomes. This review systematically sorts out diverse nanoplatforms applicable to BBB penetration for AD intervention. Inorganic nanomaterials such as gold and ceria nanoparticles possess large specific surface areas and intrinsic antioxidant capacity, which eliminate reactive oxygen species and hinder Aβ fibrillization. Liposomal formulations and solid lipid nanoparticles exhibit superior biocompatibility with biomimetic phospholipid bilayer architectures, capable of co-loading hydrophilic nucleic acids for Tau regulation and lipophilic Aβ inhibitors; relying on receptor-mediated transcytosis, they achieve sustained drug retention in the brain. Polymeric nanocarriers including nanogels and polyamidoamine dendrimers enable multi-target combinatorial therapy, and can be engineered to release cargo in response to inflammatory microenvironments, thereby suppressing excessive microglial activation and protecting neuronal mitochondria. Beyond conventional nanocarriers, this work elaborates two cutting-edge BBB-crossing delivery platforms: biomimetic nanosystems and metal-organic frameworks (MOFs). Biomimetic nanoparticles camouflaged with erythrocyte, platelet or macrophage membranes, as well as natural exosomes, evade immune clearance, prolong systemic circulation and inherently home to inflammatory lesions. Serving as “nano-decoys”, they neutralize Aβ neurotoxins and remodel cerebral inflammatory microenvironments simultaneously. MOFs feature high porosity and customizable pore channels for co-delivery of multiple therapeutics, and can be integrated with near-infrared photothermal and photooxidation modalities to facilitate focal brain lesion therapy. This review highlights a transformative paradigm shift in the field of BBB-targeted AD therapy: research focus has shifted from simply maximizing cerebral drug penetration toward active modulation and functional restoration of the BBB. Impaired BBB transporters intrinsically impede endogenous Aβ clearance. Accordingly, BBB-regulating nanocarriers are designed to remodel the low-density lipoprotein receptor-related protein 1 (LRP1) trafficking cascade, redirecting endocytic vesicles from lysosomal degradation to non-degradable transcytosis and restoring the intrinsic Aβ efflux capacity of the BBB. Distinct from conventional strategies that only exert local lesion inhibition, this systemic clearance strategy eliminates cerebral Aβ deposits by accelerating peripheral excretion.

The sensitive scalp is a complex syndrome characterised by abnormal nerve sensations, such as stinging, itching, burning, and tightness, and diminished tolerance to physical or chemical stimuli that would not typically cause such unpleasant responses, with its pathology involving physical barrier destruction at the stratum corneum level, neural hyperreactivity and sensory nerve sensitization, and local immunological dysregulation and chronic low‑grade inflammation. The homeostasis of the scalp microenvironment plays a crucial regulatory role in maintaining the hair follicle growth cycle, yet this “soil” factor has long been underappreciated in hair loss research, which has traditionally centered on intrinsic follicular defects, such as genetic predisposition or androgen-driven mechanisms. In this review, we summarized the potential mechanisms underlying the imbalance in the “barrier-neural-immune” network in sensitive scalps. Sensitive scalp is further manifested as impaired skin barrier, including increased transepidermal water loss and abnormal lipid secretion. These alterations are accompanied by increased surface pH, excessive secretion of sebum rich in free fatty acids, reduced microbial diversity, and dysbiosis characterized by a reduction in Cutibacterium and an increase in Staphylococcus colonization. Mechanistically, we also analyzed how neurogenic inflammation, mediated by substances such as substance P (SP) and calcitonin gene-related peptide (CGRP), along with persistent low-grade inflammation, disrupts the microenvironment of the hair follicle stem cell niche through mechanisms involving mechanosensitive ion channels (e.g., Piezo1), oxidative stress, and cytokine cascades. When the barrier is compromised, the weakened stratum corneum may facilitate the penetration of external stimuli, sensitizing cutaneous nerve endings. Those hyperresponsive nerves then fire off neuropeptides like substance P and CGRP. These peptides activate mast cells and other immune cells via the MrgprB2 receptor, prompting degranulation and a wave of pro-inflammatory mediators that kick off neurogenic inflammation. At the same time, oxidative stress and inflammatory cytokines drive a persistent low-grade inflammation that directly damages the hair follicle stem cell niche. Physical compression from shrinking hair shafts activates Piezo1 channels, setting off calcium influx and Caspase‑3‑dependent apoptotic signaling. We primarily considered the interactions between inflammatory signaling and the sensitization of the androgen receptor (AR) pathway, as well as the inhibition of the Wnt/β‑catenin pathway, which may subsequently contribute to hair follicle miniaturization and disruption of the growth cycle. The inflammatory microenvironment appears to boost AR expression in dermal papilla cells, making them more sensitive to dihydrotestosterone (DHT). This heightened sensitivity may promote the expression of transforming growth factor-β1 (TGF-β1), TGF-β2, and Dickkopf-1 (DKK1), which suppress the Wnt/β‑catenin pathway—essential for follicle growth and regeneration—potentially accelerating follicular miniaturization and stalling the growth cycle. Coupled with direct inflammatory apoptosis, oxidative stress, and circadian disruption, these routes may collectively speed up hair follicle stem cell depletion and diffuse hair thinning. These findings point to the need for more mechanistic and translational research to test the proposed pathways and explore therapies that target the microenvironment in sensitive scalp-related hair loss. Ultimately, we hope to provide theoretical support for the intervention of hair loss by restoring the steady state of the scalp microenvironment and combining with new precision delivery technologies such as microneedles.

Objective To investigate the protective effects of paeonol(PAE)on autophagy in human neuroblastoma cells(SH-SY5Y)induced by overexpression of α-synuclein(α-Syn),and to explore its related mechanism.Methods SH-SY5Y cells served as control group,while those induced with A53T-α-Syn mutation were used as model group.Additional groups included PAE(150 μg/ml)group,3-MA(1 mmol/L)group,and PAE(150 μg/ml)+3-MA(1 mmol/L)group.Cell viability was assessed using CCK-8 method,cell morphology was observed under an optical microscope,and protein expressions of α-Syn,LC3-Ⅱ,p62,Beclin-1,phosphorylated c-Jun N-terminal kinase(p-JNK),and p-Bcl-2 were determined by Western blotting.Results Compared with control group,model control exhibited decreased cell survival(P＜0.01),increased α-Syn expression(P＜0.001),reduced expression of autophagy-related proteins LC3-Ⅱ and Beclin-1(P＜0.01,P＜0.05),elevated autophagy substrate protein p62(P＜0.05),and decreased expression of autophagy pathway-related proteins p-JNK and Bcl-2(P＜0.05,P＜0.01).Compared with model group,PAE group showed increased cell survival(P＜0.01),decreased α-Syn and p62 protein expression(P＜0.01,P＜0.05),and increased expression of LC3-Ⅱ,Beclin-1,p-JNK and Bcl-2(P＜0.05).Compared with PAE group,3-MA+PAE group demonstrated increased α-Syn expression(P＜0.05).Conclusions PAE could attenuate the injury of SH-SY5Y cells induced by A53T-α-Syn and eliminate over-expressed α-Syn by activating autophagy pathway,which may be associated with the upregulation of JNK/Bcl-2 mediated autophagy pathway.

Objective To analyze the risk of postoperative ileus in severe ulcerative colitis(UC)patients undergoing total proctocolectomy with ileal pouch-anal anastomosis(TPC-IPAA)and develop and validate a nomogram prediction model.Methods A total of 278 severe UC patients un-dergoing TPC-IPAA from January 2018 to May 2022 were enrolled and divided into ileus group(n=73)and non-ileus group(n=205)based on the occurrence of postoperative ileus.Another 120 severe UC patients undergoing TPC-IPAA from June 2022 to April 2023 were selected as validation cohort(with a 7-to-3 ratio between the modeling cohort and the validation cohort).Factors influen-cing postoperative ileus in severe UC patients undergoing TPC-IPAA were analyzed to construct a No-mogram prediction model.The discrimination,consistency,and clinical utility of the Nomogram model were evaluated by the receiver operating characteristic(ROC)curve,calibration curve,and decision curve analysis(DC A).Results There were no significant differences in general characteristics be-tween the modeling cohort and the validation cohort(P＞0.05).Significant differences were ob-served in preoperative American Society of Anesthesiologists(ASA)classification,preoperative al-bumin level,history of abdominal surgery,surgical approach,operation duration,intraoperative blood loss,and postoperative intra-abdominal infection between the ileus group and the non-ileus-group(P＜0.05).Preoperative ASA classification,preoperative albumin level,history of abdomi-nal surgery,operation duration,intraoperative blood loss,and postoperative intra-abdominal infec-tion were independent influencing factors for postoperative ileus in severe UC patients undergoing TPC-IPAA(P＜0.05).The ROC curve showed that the area under the curve of the Nomogram model for predicting postoperative ileus in severe UC patients undergoing TPC-IPAA was 0.782(95％CI,0.723 to 0.842)in the modeling cohort and 0.785(95％CI,0.693 to 0.878)in the validation cohort,indicating good discrimination of the model.The calibration curve demonstrated good consistency of the nomogram model.The DCA curve suggested high clinical utility of the Nomogram model.Conclusion The risk of postoperative ileus in severe UC patients undergoing TPC-IPAA is influenced by preoperative ASA classification,history of abdominal surgery,preopera-tive albumin level,intraoperative blood loss,operation duration,and postoperative intra-abdominal infection.The nomogram prediction model developed based on these factors has high predictive per-formance for the risk of postoperative ileus.

Objective To explore the enzymatic reaction kinetics of metoprolol tartrate in an in vitro human liver microsome incubation experiment and to explore the effect of famotidine on the metabolism of metoprolol tartrate.Methods An LC-MS/MS method was developed to accurately measure the concentration of metoprolol tartrate in a human liver microsomal incubation system.A human liver microsome incubation system was established to determine the optimal incubation time and protein concentration;using the substrate depletion method,the enzymatic reaction kinetics parameters of metoprolol tartrate(such as Vmax and Km).Series concentrations of famotidine were co-incubated with metoprolol tartrate,and the concentration of metoprolol tartrate was measured to evaluate the effect of famotidine on its metabolism.Results The optimal incubation time for metoprolol tartrate in human liver microsomes was found to be 60 minutes,with an optimal protein concentration of 1.0 mg/mL.The enzymatic reaction kinetics parameters were Vmax=0.07 μmol/min/mg protein and Km=7.84 μmol/L.Conclusion The results indicated that famotidine did not produce a significant inhibitory effect on the metabolism of metoprolol tartrate in human liver microsome incubation system,suggesting that the combination of these two drugs may be relatively safe.

Objective To investigate the molecular mechanism by which Lichong Xiaozheng Granules(LCXZ)sensitize ovarian cancer to cisplatin(DDP)treatment.Methods LC-MS analysis was used to identify the blood components of LCXZ after its administration in mice via gavage.In a BALB/c mouse model bearing subcutaneous ovarian cancer xenografts,the effects of daily gavage of distilled water(control group),intraperitoneal injection of DDP(5 mg/kg)once a week,or both DDP injection and daily LCXZK gavage(15 g/kg)on tumor growth were evaluated.Histopathological changes in the xenografts and kidneys were assessed with HE staining.RNA-seq was performed to identify the differentially expressed genes followed by KEGG pathway analysis.The changes in mitochondrial ultrastructure and expressions of mitochondrial apoptosis-related were examined with transmission electron microscopy and Western blotting.Results A total of 218 blood-borne components of LCXZ were detected by LC-MS.In the tumor-bearing mice,treatments with DDP and DDP combined with LCXZ redcued the tumor volume by 60.3%and 72.6%compared with that in the control group,respectively.Transcriptomic analysis revealed significantly upregulated ANT3 expression in both the two treatment groups.Molecular docking indicated that the main active components of LCXZ were capable of binding to adenine nucleotide translocator 3(ANT3)with binding energies below-6 kcal/mol.Transmission electron microscopy showed obvious mitochondrial swelling and outer-membrane damage in the tumor cells in DDP-treated mice,and these changes were more pronounced in the combined treatment group.The expression levels of BAX,ANT3,cleaved caspase-3 and cleaved caspase-9 were increased,whereas BCL-2 expression was decreased significantly in the tumor cells in both the DDP and DDP+LCXZ groups.Conclusion LCXZ enhances the therapeutic efficacy of cisplatin against ovarian cancer xenografts in mice by promoting mitochondrial dysfunction and activating apoptotic signaling pathways via upregulating ANT3.

Total knee arthroplasty(TKA)is mainly used for the treatment of advanced knee osteoarthritis.Accurate preoperative planning and rapid prosthesis recognition are essential for smooth operation and postoperative rehabilitation.However,manual prosthesis recognition rely on doctors'experience,easily leading to misdiagnosis or missed diagnosis.Recent years,artificial intelligence(AI)had been integrated with medical imaging,represented by machine learning(ML)and its branch deep learning(DL),and displayed relatively powerful auxiliary functions in TKA.The research status and application progresses of AI combined with imaging in TKA were reviewed in this article.