This paper summarizes professor TU Jinwen's clinical experience in treating cancer-related insomnia （CRI） based on different qi and fire. It is believed that the pathogenesis of CRI can be divided into three stages. At the initial stage， qi movement is constrained， while the strong fire begins to stir， and the sovereign fire is unsettled， when qi is abundant， but the fire is not excessive. For this， Sanhua Jieyu Anshen Decoction （三花解郁安神汤） is suggested， which can move qi and vent constraint， clear and diffuse strong fire， calm the heart and spirit. At the progressive stage， strong fire becomes intense and burning， and qi transformation weakens， with toxin fire harassing the spirit. This is the stage where both qi and fire are excessive， for which Huanglian Jiedu Anshen Decoction （黄连解毒安神汤） can be used to clear and dissipate strong fire， drain fire and resolve toxin， clear heart and calm spirit. At the terminal stage， strong fire subsides， and consumption of qi damages healthy qi， with failure of nourishment of heart spirit， when both qi and fire deplete. Correspondingly， Erren Yangxin Anshen Decoction （二仁养心安神汤） is used to boost qi and nourish yin， restore interaction between the heart and the kidney， nourish the heart and calm spirit.

p21 (encoded by the CDKN1A gene) is a critical cell cycle regulatory protein endowed with versatile biological functions. In various sex hormone-related cancers, p21 exhibits a paradoxical dual role, capable of both inhibiting tumorigenesis and promoting cancer progression, exerting dual, often opposing, effects on cellular fate that are dictated by the specific context. The clinical targeting of p21 remains elusive, largely due to its functionally pleiotropic and context-dependent nature within intricate regulatory networks. During the initial, hormone-dependent phase of cancers like breast and prostate cancer, p21 expression and activity are largely governed by the transcriptional programs of estrogen or androgen receptor signaling. This hormonal regulation contributes to the control of tumor cell proliferation and underpins the initial efficacy of endocrine therapies. In contrast, as these diseases advance to late stages or evolve into non-hormone-dependent subtypes—exemplified by castration-resistant prostate cancer (CRPC) and specific forms of triple-negative breast cancer (TNBC)—these conventional hormonal control mechanisms often become dysfunctional or are entirely bypassed. This fundamental transition creates a critical therapeutic void, highlighting the urgent need to identify and exploit alternative molecular pathways to effectively target p21’s function. Promising strategies may include the precise modulation of its upstream transcriptional regulators, downstream effector proteins, or the intersecting parallel signaling networks that critically influence its activity. This review provides a systematic synthesis of the intricate and interconnected mechanisms that underpin the dual effects of p21 in sex hormone-related tumors. These mechanisms are categorized into three core, interrelated functional domains. (1) cell cycle regulation: p21 executes its canonical tumor-suppressive role by binding to and inhibiting cyclin-dependent kinases (CDKs) and by directly interacting with proliferating cell nuclear antigen (PCNA), thereby inducing cell cycle arrest, predominantly at the G1/S checkpoint; (2) apoptosis modulation: p21 exerts a highly context-dependent influence on programmed cell death, functioning either as a pro-apoptotic agent under severe genotoxic stress or as a pro-survival factor by inhibiting apoptosis through interactions with proteins like Bcl-2; (3) hormonal and signaling crosstalk: p21 is an integral node within broader cellular networks, engaging in direct physical interactions with hormone receptors(e.g., AR, ER) and participating in complex feedback loops with key oncogenic pathways, including PI3K/AKT, MAPK/ERK, and p53. Critically, the role of p21 is not static but highly dynamic. It can undergo a functional switch from tumor-suppressive to tumor-promoting in response to therapeutic pressures, metabolic alterations, or evolving tumor microenvironment cues. These adaptive shifts are frequently implicated in the development of therapy resistance and disease recurrence, particularly in advanced, hormone-resistant cancers. By synthesizing these insights, this review aims to establish a coherent theoretical framework to guide the future development of novel therapeutic strategies that target the p21 pathway. It underscores the necessity of moving beyond a simplistic, binary view of p21 and emphasizes the forthcoming challenges, such as the discovery of reliable biomarkers to predict its functional state and the rational design of context-specific pharmacological modulators to selectively harness its therapeutic potential.

Objective:To assess potential effect of visual frequency detection technique on the image quality of cardiac magnetic resonance(CMR)cine sequences and its measurement values for myocardial strain.Methods:A retrospective study was conducted on 74 patients without a history of myocardial infarction who underwent CMR scanning at Shanghai General Hospital of Shanghai Jiao Tong University from December 2021 to April 2024.Two 3.0T magnetic resonance imaging(MRI)equipment(equipment A and equipment B)that were different models were used for CMR scanning.Equipment A scanned 38 patients,which used the gain frequency(f)0 Hz of default synthesizer of equipment as center frequency of scan.Equipment B scanned 36 patients,which optimized the frequency of synthesizer by using detection technique for frequency.Subjective evaluation of the image quality of cine sequences for 76 patients was conducted by two physicians.Using image post-processing function of the Cardiovascular Imaging(CVI)42 software to measure the average signal strength of the left ventricular myocardium and blood pool in the cine sequence,and to calculate the signal-to-noise ratio(SNR)and contrast to noise ratio(CNR)of the image,and to compare the differences in myocardial strain values between the measurement of automatic delineation with artificial intelligence(AI)and the measurement of delineation by physicians with AI assistant in the scanned cine sequences of same equipment,and the differences in that of measured values with AI between different equipment,and the differences in that of measured values of physicians with AI between different equipment.Results:In the subjective evaluation of image quality,equipment B appeared non resonant artifact free in 31 patients,which was higher than the number of equipment A(19 cases),and the difference was statistically significant(Z=-3.337,P<0.05).There was no statistically significant difference in the circumferential,radial and longitudinal myocardial strain values that were measured by cine sequence of equipment B between AI and AI combined with physician(P>0.05).The longitudinal myocardial strain value that was measured by AI in the cine sequence of equipment A was 15.27%,and that of AI combined with physician was-13.54%,with a statistically significant difference(x2=2.875,P<0.05).Conclusion:Frequency detection technique can lead to positive influence on the consistency and accuracy of the optimal end diastolic phase,and inner and outer membrane of ventricular wall between the delineation of AI automatic identification and the delineation of the identification of AI combined with physicians through improves the image quality of CMR cine sequences,and increases tissue contrast and contour clarity,which can enhance the accuracy of AI in measuring myocardial strain value.

Objective This study aims to develop a guideline for assessing and maintaining intrinsic capacity in older adults,offer recommendations to professionals regarding these assessments,and encourage the implementation of evidence-based clinical practices across various settings,including communities,hospitals,nursing homes,and other geriatric care environments.Methods An evidence-based approach guided the collection of questions through a lit-erature review.Preliminary recommendations were developed through a systematic search of domestic and interna-tional guideline networks,professional association websites,and comprehensive databases.Subsequently,the recom-mendations were revised,and the consensus was achieved through a round of expert consensus meetings and 3 rounds of expert correspondence,culminating in the formation of the guidelines.Results The developed guideline encompasses 2 aspects and 5 dimensions of assessment and maintenance,comprising a total of 28 questions and 39 recommendations.Specifically,6 questions and 9 recommendations were formulated for the cognitive dimension,5 questions and 7 recommendations for the locomotion dimension,6 questions and 7 recommendations for the vitality dimension,6 questions and 9 recommendations for the psychological dimension,and 5 questions and 7 recommenda-tions for the sensory dimension.Among these,34 are classified as strong recommendations,while 5 are categorized as weak recommendations.Conclusion The guideline offers scientifically robust,acceptable,and comprehensible rec-ommendations that equip the professionals with a foundation for decision-making aiming at preserving the intrinsic capacity of older adults.

Aim To explore the possible regulatory effect of leptin on acyl-CoA synthetase long chain fami-ly member ACSL5 and their effect on migration and in-vasion of breast cancer cell,and to explore the underly-ing mechanism.Methods The expression of leptin receptor was detected by immunofluorescence assay.The migration and invasion ability of MCF-7 cells were detected by wound healing assay and Transwell assay respectively.The downstream target gene of leptin was analyzed by PCR microarray data.The expression of ACSL5 in breast cancer and its correlation with the staging and prognosis of breast cancer patients were as-sessed uing bioinformatics methods.The expression of ACSL5 in MCF-7 cells treated with different concentra-tions of leptin was detected using real time fluorescence quantitative polymerase chain reaction(RT-qPCR).Overexpressing ACSL5 was constructed by lentiviral transfection;the expressions of EMT related proteins,AMPK-α and p-AMPK-α were detected by Western blot.Results Leptin promoted breast cancer cell mi-gration and invasion and EMT.ACSL5 was significant-ly low expressed in breast cancer and related to progno-sis.Leptin downregulated the expression of ACSL5 through OBR.Leptin activated AMPK pathway to downregulate ACSL5 and promote migration,invasion and EMT of breast cancer cells.Conclusions Leptin may promote the migration,invasion and EMT of breast cancer by downregulating ACSL5 through activating AMPK pathway.

Objective To investigate the distribution and antimicrobial resistance profiles of common pathogens isolated from cerebrospinal fluid(CSF)in CHINET program from 2015 to 2021.Methods The bacterial strains isolated from CSF were identified in accordance with clinical microbiology practice standards.Antimicrobial susceptibility test was conducted using Kirby-Bauer method and automated systems per the unified CHINET protocol.Results A total of 14 014 bacterial strains were isolated from CSF samples from 2015 to 2021,including the strains isolated from inpatients(95.3％)and from outpatient and emergency care patients(4.7％).Overall,19.6％of the isolates were from children and 80.4％were from adults.Gram-positive and Gram-negative bacteria accounted for 68.0％and 32.0％,respectively.Coagulase negative Staphylococcus accounted for 73.0％of the total Gram-positive bacterial isolates.The prevalence of MRSA was 38.2％in children and 45.6％in adults.The prevalence of MRCNS was 67.6％in adults and 69.5％in children.A small number of vancomycin-resistant Enterococcus faecium(2.2％)and linezolid-resistant Enterococcus faecalis(3.1％)were isolated from adult patients.The resistance rates of Escherichia coli and Klebsiella pneumoniae to ceftriaxone were 52.2％and 76.4％in children,70.5％and 63.5％in adults.The prevalence of carbapenem-resistant E.coli and K.pneumoniae(CRKP)was 1.3％and 47.7％in children,6.4％and 47.9％in adults.The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)and Pseudomonas aeruginosa(CRPA)was 74.0％and 37.1％in children,81.7％and 39.9％in adults.Conclusions The data derived from antimicrobial resistance surveillance are crucial for clinicians to make evidence-based decisions regarding antibiotic therapy.Attention should be paid to the Gram-negative bacteria,especially CRKP and CRAB in central nervous system(CNS)infections.Ongoing antimicrobial resistance surveillance is helpful for optimizing antibiotic use in CNS infections.

Objective To investigate the antimicrobial resistance of clinical isolates from elderly patients(≥65 years)in major medical institutions across China.Methods Bacterial strains were isolated from elderly patients in 52 hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program during the period from 2015 to 2021.Antimicrobial susceptibility test was carried out by disk diffusion method and automated systems according to the same CHINET protocol.The data were interpreted in accordance with the breakpoints recommended by the Clinical and Laboratory Standards Institute(CLSI)in 2021.Results A total of 514 715 nonduplicate clinical isolates were collected from elderly patients in 52 hospitals from January 1,2015 to December 31,2021.The number of isolates accounted for 34.3％of the total number of clinical isolates from all patients.Overall,21.8％of the 514 715 strains were gram-positive bacteria,and 78.2％were gram-negative bacteria.Majority(90.9％)of the strains were isolated from inpatients.About 42.9％of the strains were isolated from respiratory specimens,and 22.9％were isolated from urine.More than half(60.7％)of the strains were isolated from male patients,and 39.3％isolated from females.About 51.1％of the strains were isolated from patients aged 65-＜75 years.The prevalence of methicillin-resistant strains(MRSA)was 38.8％in 32 190 strains of Staphylococcus aureus.No vancomycin-or linezolid-resistant strains were found.The resistance rate of E.faecalis to most antibiotics was significantly lower than that of Enterococcus faecium,but a few vancomycin-resistant strains(0.2％,1.5％)and linezolid-resistant strains(3.4％,0.3％)were found in E.faecalis and E.faecium.The prevalence of penicillin-susceptible S.pneumoniae(PSSP),penicillin-intermediate S.pneumoniae(PISP),and penicillin-resistant S.pneumoniae(PRSP)was 94.3％,4.0％,and 1.7％in nonmeningitis S.pneumoniae isolates.The resistance rates of Klebsiella spp.(Klebsiella pneumoniae 93.2％)to imipenem and meropenem were 20.9％and 22.3％,respectively.Other Enterobacterales species were highly sensitive to carbapenem antibiotics.Only 1.7％-7.8％of other Enterobacterales strains were resistant to carbapenems.The resistance rates of Acinetobacter spp.(Acinetobacter baumannii 90.6％)to imipenem and meropenem were 68.4％and 70.6％respectively,while 28.5％and 24.3％of P.aeruginosa strains were resistant to imipenem and meropenem,respectively.Conclusions The number of clinical isolates from elderly patients is increasing year by year,especially in the 65-＜75 age group.Respiratory tract isolates were more prevalent in male elderly patients,and urinary tract isolates were more prevalent in female elderly patients.Klebsiella isolates were increasingly resistant to multiple antimicrobial agents,especially carbapenems.Antimicrobial resistance surveillance is helpful for accurate empirical antimicrobial therapy in elderly patients.

Objective This study aimed to investigate the antimicrobial resistance profiles of bacterial strains isolated from pediatric intensive care units(PICU)in China for better antimicrobial therapy.Methods Clinical isolates were collected from 17 institutions,including tertiary care children's hospitals and pediatric department of tertiary general hospitals in China from January 1,2020 to December 31,2022.Antimicrobial susceptibility testing was carried out according to a unified protocol using Kirby-Bauer method or automated systems.Results were interpreted according to the breakpoints released by the Clinical and Laboratory Standards Institute(CLSI)in 2020.Results A total of 10 688 isolates were collected,including gram-positive organisms(39.2％)and gram-negative organisms(60.8％).The top three organisms were S.aureus(13.6％,1 453/10 688),A.baumannii(10.0％,1 067/10 688),and coagulase-negative Staphylococcus(9.9％,1 058/10 688).Multi-drug resistant organisms(MDROs)were very common in children.The prevalence of methicillin-resistant Staphylococcus aureus(MRSA),carbapenem-resistant Enterobacterales(CRE),carbapenem-resistant E.coli,carbapenem-resistant K.pneumoniae(CRKP),carbapenem-resistant A.baumannii(CRAB),and carbapenem-resistant P.aeruginosa(CRPA)was 41.1％,19.4％,8.8％,30.9％,67.4％,and 28.8％,respectively.Overall,more than 50％of Enterobacteriales isolates were resistant to cephalosporins,while nearly 25％of Enterobacteriales isolates were resistant to carbapenems.MDROs were highly resistant to commonly used antibiotics.More than 80％of CRE and CRAB strains were resistant to all beta-lactam antibiotics.CRE and CRAB showed low resistance rates to tigecycline and polymyxin.CRPA showed lower resistance rates to piperacillin,beta-lactamase inhibitor combinations than the resistance rates to third and fourth generation cephalosporins.All of the Staphylococcus and Enterococcus isolates were susceptible to vancomycin and tigecycline.None of PRSP strains isolated from meningitis and nonmeningitis samples were resistant to rifampicin,vancomycin,or linezolid.The prevalence of β-lactamase-negative ampicillin-resistant(BLNAR)strains was 43.3％in Haemophilus influenzae.Conclusions MDROs were prevalent in PICU.It is necessary to establish an effective multidisciplinary team(MDT)to control the antimicrobial resistance.

Objective:To assess potential effect of visual frequency detection technique on the image quality of cardiac magnetic resonance(CMR)cine sequences and its measurement values for myocardial strain.Methods:A retrospective study was conducted on 74 patients without a history of myocardial infarction who underwent CMR scanning at Shanghai General Hospital of Shanghai Jiao Tong University from December 2021 to April 2024.Two 3.0T magnetic resonance imaging(MRI)equipment(equipment A and equipment B)that were different models were used for CMR scanning.Equipment A scanned 38 patients,which used the gain frequency(f)0 Hz of default synthesizer of equipment as center frequency of scan.Equipment B scanned 36 patients,which optimized the frequency of synthesizer by using detection technique for frequency.Subjective evaluation of the image quality of cine sequences for 76 patients was conducted by two physicians.Using image post-processing function of the Cardiovascular Imaging(CVI)42 software to measure the average signal strength of the left ventricular myocardium and blood pool in the cine sequence,and to calculate the signal-to-noise ratio(SNR)and contrast to noise ratio(CNR)of the image,and to compare the differences in myocardial strain values between the measurement of automatic delineation with artificial intelligence(AI)and the measurement of delineation by physicians with AI assistant in the scanned cine sequences of same equipment,and the differences in that of measured values with AI between different equipment,and the differences in that of measured values of physicians with AI between different equipment.Results:In the subjective evaluation of image quality,equipment B appeared non resonant artifact free in 31 patients,which was higher than the number of equipment A(19 cases),and the difference was statistically significant(Z=-3.337,P<0.05).There was no statistically significant difference in the circumferential,radial and longitudinal myocardial strain values that were measured by cine sequence of equipment B between AI and AI combined with physician(P>0.05).The longitudinal myocardial strain value that was measured by AI in the cine sequence of equipment A was 15.27%,and that of AI combined with physician was-13.54%,with a statistically significant difference(x2=2.875,P<0.05).Conclusion:Frequency detection technique can lead to positive influence on the consistency and accuracy of the optimal end diastolic phase,and inner and outer membrane of ventricular wall between the delineation of AI automatic identification and the delineation of the identification of AI combined with physicians through improves the image quality of CMR cine sequences,and increases tissue contrast and contour clarity,which can enhance the accuracy of AI in measuring myocardial strain value.

Objective To investigate the distribution and antimicrobial resistance profiles of common pathogens isolated from cerebrospinal fluid(CSF)in CHINET program from 2015 to 2021.Methods The bacterial strains isolated from CSF were identified in accordance with clinical microbiology practice standards.Antimicrobial susceptibility test was conducted using Kirby-Bauer method and automated systems per the unified CHINET protocol.Results A total of 14 014 bacterial strains were isolated from CSF samples from 2015 to 2021,including the strains isolated from inpatients(95.3％)and from outpatient and emergency care patients(4.7％).Overall,19.6％of the isolates were from children and 80.4％were from adults.Gram-positive and Gram-negative bacteria accounted for 68.0％and 32.0％,respectively.Coagulase negative Staphylococcus accounted for 73.0％of the total Gram-positive bacterial isolates.The prevalence of MRSA was 38.2％in children and 45.6％in adults.The prevalence of MRCNS was 67.6％in adults and 69.5％in children.A small number of vancomycin-resistant Enterococcus faecium(2.2％)and linezolid-resistant Enterococcus faecalis(3.1％)were isolated from adult patients.The resistance rates of Escherichia coli and Klebsiella pneumoniae to ceftriaxone were 52.2％and 76.4％in children,70.5％and 63.5％in adults.The prevalence of carbapenem-resistant E.coli and K.pneumoniae(CRKP)was 1.3％and 47.7％in children,6.4％and 47.9％in adults.The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)and Pseudomonas aeruginosa(CRPA)was 74.0％and 37.1％in children,81.7％and 39.9％in adults.Conclusions The data derived from antimicrobial resistance surveillance are crucial for clinicians to make evidence-based decisions regarding antibiotic therapy.Attention should be paid to the Gram-negative bacteria,especially CRKP and CRAB in central nervous system(CNS)infections.Ongoing antimicrobial resistance surveillance is helpful for optimizing antibiotic use in CNS infections.