1.Tumor immune dysfunction and exclusion evaluation and chemoimmunotherapy response prediction in lung adenocarcinoma using pathomic-based approach.
Wei NIE ; Liang ZHENG ; Yinchen SHEN ; Yao ZHANG ; Haohua TENG ; Runbo ZHONG ; Lei CHENG ; Guangyu TAO ; Baohui HAN ; Tianqing CHU ; Hua ZHONG ; Xueyan ZHANG
Chinese Medical Journal 2025;138(3):346-348
2.IL-24 promotes atopic dermatitis-like inflammation through driving MRSA-induced allergic responses.
Xinmin QIAN ; Meiyi TONG ; Tianqing ZHANG ; Qingqing LI ; Meng HUA ; Nan ZHOU ; Wenwen ZENG
Protein & Cell 2025;16(3):188-210
Atopic dermatitis (AD) is a prevalent inflammatory skin disorder in which patients experience recurrent eczematous lesions and intense itching. The colonization of Staphylococcus aureus (S. aureus) is correlated with the severity of the disease, but its role in AD development remains elusive. Using single-cell RNA sequencing, we uncovered that keratinocytes activate a distinct immune response characterized by induction of Il24 when exposed to methicillin-resistant S. aureus (MRSA). Further experiments using animal models showed that the administration of recombinant IL-24 protein worsened AD-like pathology. Genetic ablation of Il24 or the receptor Il20rb in keratinocytes alleviated allergic inflammation and atopic march. Mechanistically, IL-24 acted through its heterodimeric receptors on keratinocytes and augmented the production of IL-33, which in turn aggravated type 2 immunity and AD-like skin conditions. Overall, these findings establish IL-24 as a critical factor for onset and progression of AD and a compelling therapeutic target.
Dermatitis, Atopic/genetics*
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Interleukins/metabolism*
;
Animals
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Methicillin-Resistant Staphylococcus aureus/immunology*
;
Mice
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Keratinocytes/microbiology*
;
Humans
;
Interleukin-33/immunology*
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Inflammation/microbiology*
;
Staphylococcal Infections/microbiology*
;
Disease Models, Animal
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Hypersensitivity/microbiology*
;
Mice, Inbred C57BL
3.Analysis of the Characteristics of Patients Late for Time-scheduled Appointment in a Thoracic Surgery Clinic
Yuan GUO ; Tianqing ZHANG ; Chunlin DU ; Xinli ZHANG ; Zhi WAN
Chinese Hospital Management 2024;44(6):46-50
Objective The characteristics of the time-scheduled appointment late arrival of outpatients in thoracic surgery at West China Hospital Sichuan University were analyzed.Methods A total of 9 378 cases of thoracic surgery patients were extracted from the HIS system of West China Hospital of Sichuan University in 2019.The normal patients were used as the control group,and the late patients were analyzed by SPSS 24.0 software.Results Age,gender,place of origin,type of consultation,consultation time,appointment method,expert level,and consultation time were the influencing factors of lateness,and the differences were statistically significant(P<0.05).The lateness rate of patients is highest on Monday,reaching 34.6%,the lateness rate is highest between>08:30-09:00 every morning,reaching 78.1%,and the lateness rate is highest between>13:00-13:30 in the afternoon,reaching 65.7%.Conclusion Patients who are late for medical appointments have certain characteristics.Therefore,solutions need to be proposed based on relevant characteristics to improve patients'compliance with medical appointments within the appointment time period.
4.Analysis of the Characteristics of Patients Late for Time-scheduled Appointment in a Thoracic Surgery Clinic
Yuan GUO ; Tianqing ZHANG ; Chunlin DU ; Xinli ZHANG ; Zhi WAN
Chinese Hospital Management 2024;44(6):46-50
Objective The characteristics of the time-scheduled appointment late arrival of outpatients in thoracic surgery at West China Hospital Sichuan University were analyzed.Methods A total of 9 378 cases of thoracic surgery patients were extracted from the HIS system of West China Hospital of Sichuan University in 2019.The normal patients were used as the control group,and the late patients were analyzed by SPSS 24.0 software.Results Age,gender,place of origin,type of consultation,consultation time,appointment method,expert level,and consultation time were the influencing factors of lateness,and the differences were statistically significant(P<0.05).The lateness rate of patients is highest on Monday,reaching 34.6%,the lateness rate is highest between>08:30-09:00 every morning,reaching 78.1%,and the lateness rate is highest between>13:00-13:30 in the afternoon,reaching 65.7%.Conclusion Patients who are late for medical appointments have certain characteristics.Therefore,solutions need to be proposed based on relevant characteristics to improve patients'compliance with medical appointments within the appointment time period.
5.Analysis of the Characteristics of Patients Late for Time-scheduled Appointment in a Thoracic Surgery Clinic
Yuan GUO ; Tianqing ZHANG ; Chunlin DU ; Xinli ZHANG ; Zhi WAN
Chinese Hospital Management 2024;44(6):46-50
Objective The characteristics of the time-scheduled appointment late arrival of outpatients in thoracic surgery at West China Hospital Sichuan University were analyzed.Methods A total of 9 378 cases of thoracic surgery patients were extracted from the HIS system of West China Hospital of Sichuan University in 2019.The normal patients were used as the control group,and the late patients were analyzed by SPSS 24.0 software.Results Age,gender,place of origin,type of consultation,consultation time,appointment method,expert level,and consultation time were the influencing factors of lateness,and the differences were statistically significant(P<0.05).The lateness rate of patients is highest on Monday,reaching 34.6%,the lateness rate is highest between>08:30-09:00 every morning,reaching 78.1%,and the lateness rate is highest between>13:00-13:30 in the afternoon,reaching 65.7%.Conclusion Patients who are late for medical appointments have certain characteristics.Therefore,solutions need to be proposed based on relevant characteristics to improve patients'compliance with medical appointments within the appointment time period.
6.Analysis of the Characteristics of Patients Late for Time-scheduled Appointment in a Thoracic Surgery Clinic
Yuan GUO ; Tianqing ZHANG ; Chunlin DU ; Xinli ZHANG ; Zhi WAN
Chinese Hospital Management 2024;44(6):46-50
Objective The characteristics of the time-scheduled appointment late arrival of outpatients in thoracic surgery at West China Hospital Sichuan University were analyzed.Methods A total of 9 378 cases of thoracic surgery patients were extracted from the HIS system of West China Hospital of Sichuan University in 2019.The normal patients were used as the control group,and the late patients were analyzed by SPSS 24.0 software.Results Age,gender,place of origin,type of consultation,consultation time,appointment method,expert level,and consultation time were the influencing factors of lateness,and the differences were statistically significant(P<0.05).The lateness rate of patients is highest on Monday,reaching 34.6%,the lateness rate is highest between>08:30-09:00 every morning,reaching 78.1%,and the lateness rate is highest between>13:00-13:30 in the afternoon,reaching 65.7%.Conclusion Patients who are late for medical appointments have certain characteristics.Therefore,solutions need to be proposed based on relevant characteristics to improve patients'compliance with medical appointments within the appointment time period.
7.Analysis of the Characteristics of Patients Late for Time-scheduled Appointment in a Thoracic Surgery Clinic
Yuan GUO ; Tianqing ZHANG ; Chunlin DU ; Xinli ZHANG ; Zhi WAN
Chinese Hospital Management 2024;44(6):46-50
Objective The characteristics of the time-scheduled appointment late arrival of outpatients in thoracic surgery at West China Hospital Sichuan University were analyzed.Methods A total of 9 378 cases of thoracic surgery patients were extracted from the HIS system of West China Hospital of Sichuan University in 2019.The normal patients were used as the control group,and the late patients were analyzed by SPSS 24.0 software.Results Age,gender,place of origin,type of consultation,consultation time,appointment method,expert level,and consultation time were the influencing factors of lateness,and the differences were statistically significant(P<0.05).The lateness rate of patients is highest on Monday,reaching 34.6%,the lateness rate is highest between>08:30-09:00 every morning,reaching 78.1%,and the lateness rate is highest between>13:00-13:30 in the afternoon,reaching 65.7%.Conclusion Patients who are late for medical appointments have certain characteristics.Therefore,solutions need to be proposed based on relevant characteristics to improve patients'compliance with medical appointments within the appointment time period.
8.Analysis of the Characteristics of Patients Late for Time-scheduled Appointment in a Thoracic Surgery Clinic
Yuan GUO ; Tianqing ZHANG ; Chunlin DU ; Xinli ZHANG ; Zhi WAN
Chinese Hospital Management 2024;44(6):46-50
Objective The characteristics of the time-scheduled appointment late arrival of outpatients in thoracic surgery at West China Hospital Sichuan University were analyzed.Methods A total of 9 378 cases of thoracic surgery patients were extracted from the HIS system of West China Hospital of Sichuan University in 2019.The normal patients were used as the control group,and the late patients were analyzed by SPSS 24.0 software.Results Age,gender,place of origin,type of consultation,consultation time,appointment method,expert level,and consultation time were the influencing factors of lateness,and the differences were statistically significant(P<0.05).The lateness rate of patients is highest on Monday,reaching 34.6%,the lateness rate is highest between>08:30-09:00 every morning,reaching 78.1%,and the lateness rate is highest between>13:00-13:30 in the afternoon,reaching 65.7%.Conclusion Patients who are late for medical appointments have certain characteristics.Therefore,solutions need to be proposed based on relevant characteristics to improve patients'compliance with medical appointments within the appointment time period.
9.Analysis of the Characteristics of Patients Late for Time-scheduled Appointment in a Thoracic Surgery Clinic
Yuan GUO ; Tianqing ZHANG ; Chunlin DU ; Xinli ZHANG ; Zhi WAN
Chinese Hospital Management 2024;44(6):46-50
Objective The characteristics of the time-scheduled appointment late arrival of outpatients in thoracic surgery at West China Hospital Sichuan University were analyzed.Methods A total of 9 378 cases of thoracic surgery patients were extracted from the HIS system of West China Hospital of Sichuan University in 2019.The normal patients were used as the control group,and the late patients were analyzed by SPSS 24.0 software.Results Age,gender,place of origin,type of consultation,consultation time,appointment method,expert level,and consultation time were the influencing factors of lateness,and the differences were statistically significant(P<0.05).The lateness rate of patients is highest on Monday,reaching 34.6%,the lateness rate is highest between>08:30-09:00 every morning,reaching 78.1%,and the lateness rate is highest between>13:00-13:30 in the afternoon,reaching 65.7%.Conclusion Patients who are late for medical appointments have certain characteristics.Therefore,solutions need to be proposed based on relevant characteristics to improve patients'compliance with medical appointments within the appointment time period.
10.Analysis of the Characteristics of Patients Late for Time-scheduled Appointment in a Thoracic Surgery Clinic
Yuan GUO ; Tianqing ZHANG ; Chunlin DU ; Xinli ZHANG ; Zhi WAN
Chinese Hospital Management 2024;44(6):46-50
Objective The characteristics of the time-scheduled appointment late arrival of outpatients in thoracic surgery at West China Hospital Sichuan University were analyzed.Methods A total of 9 378 cases of thoracic surgery patients were extracted from the HIS system of West China Hospital of Sichuan University in 2019.The normal patients were used as the control group,and the late patients were analyzed by SPSS 24.0 software.Results Age,gender,place of origin,type of consultation,consultation time,appointment method,expert level,and consultation time were the influencing factors of lateness,and the differences were statistically significant(P<0.05).The lateness rate of patients is highest on Monday,reaching 34.6%,the lateness rate is highest between>08:30-09:00 every morning,reaching 78.1%,and the lateness rate is highest between>13:00-13:30 in the afternoon,reaching 65.7%.Conclusion Patients who are late for medical appointments have certain characteristics.Therefore,solutions need to be proposed based on relevant characteristics to improve patients'compliance with medical appointments within the appointment time period.

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