Objective To investigate the alterations of cerebral blood flow(CBF)in type 2 diabetic mellitus(T2DM) patients without cognitive impairment by using arterial spin labeling(ASL)technique.Methods A total of 23 T2DM patients without cognitive impairment and 23 healthy controls(HC)matched by age,sex,and education attainment were recruited.Their clinical data were collected,and neuropsychological tests and cerebral magnetic resonance imaging were performed.Then,the outcomes of clinical features,neuropsychological tests,and global and regional CBF were compared between the two groups.The significant regional zCBF(z-transformed relative CBF)values were extracted and correlated with clinical data and neuropsychological scores in T2DM patients,controlling age,sex,and education.Results No significant difference was found in whole brain CBF between the two groups(P=0.155),while significantly higher CBF was identified in the left superior temporal gyrus and left insula in the T2DM group(Gaussian random field correction,initial threshold P < 0.001,cluster level P < 0.05).No correlation was observed between the significant regional zCBF values and the clinical data or the neuropsychological scores in T2DM patients(all P>0.05).Conclusion Alterations in cerebral hemodynamics may precede cognitive function changes in T2DM,suggesting that the ASL technique is promising for early monitoring of cerebral hemodynamic changes associated with cognitive impairment in patients with T2DM.
Humans ; Diabetes Mellitus, Type 2/physiopathology* ; Cerebrovascular Circulation ; Middle Aged ; Male ; Female ; Magnetic Resonance Imaging ; Case-Control Studies ; Cognitive Dysfunction ; Neuropsychological Tests ; Aged

The menopausal age is one of the important menopausal factors, and women of different menopausal ages have different risks of diabetes. This study reviewed the evidence from prospective studies on the association between the age at natural menopause and diabetes risk, both domestically and internationally, and presented its research design and main findings. Advanced menopause, especially premature and early menopause, will increase the risk of diabetes in postmenopausal women. The research on the influence of delayed menopause on the incidence of diabetes is still insufficient. Many factors may modify the association between menopausal age and the risk of diabetes.

Drug resistance refers to the reduced or lost sensitivity of microorganisms to key drugs used in clinical (routine) treatment. Antimicrobial resistance poses a significant threat to global public health and safety. The misuse and abuse of antibacterial drugs not only causes inefficient treatment of bacterial infectious diseases, but also exacerbates the evolution of bacterial antimicrobial resistance and the spread of antimicrobial-resistant bacteria. As one of the cutting-edge scientific techniques, microfluidic chip technology has shown extensive application potentials in various fields. In the rapid detection of drug-resistant bacteria, microfluidic chip technology has the advantages of fast speed, high degree of automation, and the ability to perform multiple detections. This article focuses on bacterial antimicrobial resistance, and briefly introduces the principle of microfluidic chips, systematically outlines the application of microfluidic technology in antimicrobial resistance detection, and provides a theoretical reference for the diagnosis of clinical bacterial infectious diseases.

The menopausal age is one of the important menopausal factors, and women of different menopausal ages have different risks of diabetes. This study reviewed the evidence from prospective studies on the association between the age at natural menopause and diabetes risk, both domestically and internationally, and presented its research design and main findings. Advanced menopause, especially premature and early menopause, will increase the risk of diabetes in postmenopausal women. The research on the influence of delayed menopause on the incidence of diabetes is still insufficient. Many factors may modify the association between menopausal age and the risk of diabetes.

Drug resistance refers to the reduced or lost sensitivity of microorganisms to key drugs used in clinical (routine) treatment. Antimicrobial resistance poses a significant threat to global public health and safety. The misuse and abuse of antibacterial drugs not only causes inefficient treatment of bacterial infectious diseases, but also exacerbates the evolution of bacterial antimicrobial resistance and the spread of antimicrobial-resistant bacteria. As one of the cutting-edge scientific techniques, microfluidic chip technology has shown extensive application potentials in various fields. In the rapid detection of drug-resistant bacteria, microfluidic chip technology has the advantages of fast speed, high degree of automation, and the ability to perform multiple detections. This article focuses on bacterial antimicrobial resistance, and briefly introduces the principle of microfluidic chips, systematically outlines the application of microfluidic technology in antimicrobial resistance detection, and provides a theoretical reference for the diagnosis of clinical bacterial infectious diseases.

As artificial intelligence technology rapidly advances, its deployment within the medical sector presents substantial ethical challenges. Consequently, it becomes crucial to create a standardized, transparent, and secure framework for processing medical data. This includes setting the ethical boundaries for medical artificial intelligence and safeguarding both patient rights and data integrity. This consensus governs every facet of medical data handling through artificial intelligence, encompassing data gathering, processing, storage, transmission, utilization, and sharing. Its purpose is to ensure the management of medical data adheres to ethical standards and legal requirements, while safeguarding patient privacy and data security. Concurrently, the principles of compliance with the law, patient privacy respect, patient interest protection, and safety and reliability are underscored. Key issues such as informed consent, data usage, intellectual property protection, conflict of interest, and benefit sharing are examined in depth. The enactment of this expert consensus is intended to foster the profound integration and sustainable advancement of artificial intelligence within the medical domain, while simultaneously ensuring that artificial intelligence adheres strictly to the relevant ethical norms and legal frameworks during the processing of medical data.
Artificial Intelligence/legislation & jurisprudence* ; Humans ; Consensus ; Computer Security/standards* ; Confidentiality/ethics* ; Informed Consent/ethics*

Cohort study of children and adolescents health is an ideal method to explore health-related problems from childhood to adulthood, to which more attention has been paid. This paper summarizes the progress in cohort study of children and adolescents health conducted both at home and abroad by introducing the study design, main contents. Emphasizing the international exchange and cohort integration, continuously expanding cohort research field, and using multi-source data for high-quality follow-up have become the trend of cohort study of children and adolescents health.

Objective: To analyze the disease burden and risk factors of colorectal cancer in Zhejiang Province from 1990 to 2019, so as to provide the basis for prevention and control of colorectal cancer. Methods: Based on data of 2019 Global Burden of Disease (GDB 2019), disease burden and risk factors of colorectal cancer in Zhejiang Province from 1990 to 2019 was assessed using years of life lost (YLL), years lived with disability (YLD), disability-adjusted life years (DALY). Results: In 2019, the YLL rate, YLD rate and DALY rate caused by colorectal cancer in Zhejiang Province were 496.15/105, 31.81/105 and 527.96/105, respectively. From 1990 to 2019, the YLL rate, YLD rate and DALY rate caused by colorectal cancer in Zhejiang Province increased by 114.90%, 482.60% and 123.38%, respectively, showing increasing trends (average annual percent change values were =2.663, 6.283 and 2.800, respectively,all P<0.05). From 1990 to 2019, the YLL rate, YLD rate and DALY rate in the age groups of 15 to 49 years, 50 to 69 years and 70 years and older showed increasing trends (all P<0.05). In 1990, the top ten risk factors for colorectal cancer in Zhejiang Province were diet low in calcium, diet low in milk, diet low in whole grains, smoking, alcohol use, low physical activity, high fasting plasma glucose, diet high in red meat, diet low in fiber and high body mass index. In 2019, the top ten risk factors for colorectal cancer in Zhejiang Province were diet low in milk, diet low in whole grains, diet low in calcium, alcohol use, diet high in red meat, high body mass index, high fasting plasma glucose, low physical activity, diet low in fiber and diet high in processed meat. Conclusions The disease burden of colorectal cancer in Zhejiang Province showed an upward trend from 1990 to 2019. The top ten risk factors for colorectal cancer remained between 1990 and 2019, while there was a slight change in ranking.

Objective To investigate the cumulative incidence of recurrence(CIR)in children with acute lymphoblastic leukemia(ALL)after treatment with the Chinese Children's Cancer Group ALL-2015(CCCG-ALL-2015)protocol and the risk factors for recurrence.Methods A retrospective analysis was conducted on the clinical data of 852 children who were treated with the CCCG-ALL-2015 protocol from January 2015 to December 2019.CIR was calculated,and the risk factors for the recurrence of B-lineage acute lymphoblastic leukemia(B-ALL)were analyzed.Results Among the 852 children with ALL,146(17.1%)experienced recurrence,with an 8-year CIR of 19.8%±1.6%.There was no significant difference in 8-year CIR between the B-ALL group and the acute T lymphocyte leukemia group(P>0.05).For the 146 children with recurrence,recurrence was mainly observed in the very early stage(n=62,42.5%)and the early stage(n=46,31.5%),and there were 42 children with bone marrow recurrence alone(28.8%)in the very early stage and 27 children with bone marrow recurrence alone(18.5%)in the early stage.The Cox proportional-hazards regression model analysis showed that positive MLLr fusion gene(HR=4.177,95%CI:2.086-8.364,P<0.001)and minimal residual disease≥0.01%on day 46(HR=2.013,95%CI:1.163-3.483,P=0.012)were independent risk factors for recurrence in children with B-ALL after treatment with the CCCG-ALL-2015 protocol.Conclusions There is still a relatively high recurrence rate in children with ALL after treatment with the CCCG-ALL-2015 protocol,mainly bone marrow recurrence alone in the very early stage and the early stage,and minimal residual disease≥0.01%on day 46 and positive MLLr fusion gene are closely associated with the recurrence of B-ALL.