1.Environmental sustainability in healthcare: impacts of climate change, challenges and opportunities.
Ethan Yi-Peng KOH ; Wan Fen CHAN ; Hoon Chin Steven LIM ; Benita Kiat Tee TAN ; Cherlyn Tze-Mae ONG ; Prit Anand SINGH ; Michelle Bee Hua TAN ; Marcus Jin Hui SIM ; Li Wen ONG ; Helena TAN ; Seow Yen TAN ; Wesley Chik Han HUONG ; Jonathan SEAH ; Tiing Leong ANG ; Jo-Anne YEO
Singapore medical journal 2025;66(Suppl 1):S47-S56
Environmental damage affects many aspects of healthcare, from extreme weather events to evolving population disease. Singapore's healthcare sector has the world's second highest healthcare emissions per capita, hampering the nation's pledge to reduce emissions by 2030 and achieve net zero emissions by 2050. In this review, we provide an overview of the impact environmental damage has on healthcare, including facilities, supply chain and human health, and examine measures to address healthcare's impact on the environment. Utilising the 'R's of sustainability - rethinking, reducing/refusing, reusing/repurposing/reprocessing, repairing, recycling and research - we have summarised the opportunities and challenges across medical disciplines. Awareness and advocacy to adopt strategies at institutional and individual levels is needed to revolutionise our environmental footprint and improve healthcare sustainability. By leveraging evidence from ongoing trials and integrating sustainable practices, our healthcare system can remain resilient against environment-driven challenges and evolving healthcare demands while minimising further impacts of environmental destruction.
Humans
;
Climate Change
;
Delivery of Health Care
;
Singapore
;
Conservation of Natural Resources
;
Sustainable Development
;
Environment
2.Resveratrol inhibits H9c2 cardiomyocyte apoptosis induced by hypoxia/reoxygenation through activating JAK2/STAT3 signaling pathway
Jin-yu LI ; Dan-mei HUANG ; Yan-mei ZHANG ; Fen-fei GAO ; Bin WANG
Chinese Pharmacological Bulletin 2025;41(3):451-456
Aim To investigate the protective effects of resveratrol(RSV)on hypoxia/reoxygenation(H/R)-induced apoptosis in H9c2 cardiomyocytes and the un-derlying mechanisms.Methods A model of H/R was established in H9c2 cardiomyocytes.Cell apoptosis was determined by flow cytometry.The expressions of Bax,Bcl-2,cleaved caspase-3 and JAK2/STAT3 signa-ling pathway proteins were detected by Western blot.The inhibitor of JAK2,AG490,was used to assess the effect of RSV on H/R-induced apoptosis in H9c2 car-diomyocytes after inhibiting JAK2/STAT3 signaling pathway.Results RSV could effectively inhibit H/R-provoked cell apoptosis in H9c2 cardiomyocytes and increase the expression of p-JAK2 and p-STAT3.After AG490 intervention,the anti-apoptotic effect of RSV on H9c2 cardiomyocytes caused by H/R was significantly counteracted.Conclusions RSV can inhibit H/R-in-duced apoptosis in H9c2 cardiomyocytes through the activation of JAK2/STAT3 signaling pathway.
3.A systematic review of osteoporosis-specific quality-of-life scales
Jing YAN ; Qiujun QIN ; Fen LI ; Jun ZHOU ; Yuanyuan DING ; Chunlin JIN
Chinese Journal of Tissue Engineering Research 2025;29(35):7649-7655
OBJECTIVE:To review the development trend,target population,setting and construction process of osteoporosis-specific quality of life measures both domestically and internationally.METHODS:All of the currently available publicly available osteoporosis-specific quality-of-life scales were found by searching the PubMed,Embase,CNKI,and WanFang Data.The search period included the time from database construction to August 2024.The basic information,development trend,target population,and the setting of the scale's dimensions,entries,and levels were taken from the original research and development literature that included the scale.The content of the dimensions and the scale's construction process were then compiled and examined.RESULTS:A total of 20 osteoporosis-specific quality of life scales were included in the study,and the literature on the development of 34 scales was traced.The number of dimensions of the included scales ranged from 2-7 dimensions,all of which included physiological dimensions;the number of entries of the scales ranged from 10-84 entries,while the number of levels set under the entries was mostly focused on four or five levels.There are three main ways of constructing the scales,of which the construction of a pool of entries and the screening of the entries according to classical measurement theory and item response theory is an approach that has emerged in recent years.CONCLUSION:According to the specific target population and diversified measurement objectives,the content of osteoporosis-specific quality of life scales has become increasingly streamlined,with fewer dimensions and entries overall;and its building procedure is gradually becoming more standardized.
4.A Review and Reflection on the Updates of the NICE Health Technology Evaluations Guideline
Jiahao HU ; Hongchao LI ; Yuhan LIU ; Fen LI ; Meijie LIAN ; Chunlin JIN
Chinese Health Economics 2025;44(5):102-108
The National Institute for Health and Care Excellence(NICE)first updated its 2013 Health Technology Evaluations Guidelines in 2022,followed by further minor adjustments in 2023.This round of updates primarily focuses on five key areas:mea-suring the value of health technologies,understanding and improving the evidence base,structured decision-making,addressing challenging diseases and technologies,and ensuring consistency in methods across evaluation and review projects.It outlines the up-date process and major changes,providing an analysis of these key points with the aim of offering valuable insights and methodologi-cal references for health technology assessment in China.
5.A systematic review of osteoporosis-specific quality-of-life scales
Jing YAN ; Qiujun QIN ; Fen LI ; Jun ZHOU ; Yuanyuan DING ; Chunlin JIN
Chinese Journal of Tissue Engineering Research 2025;29(35):7649-7655
OBJECTIVE:To review the development trend,target population,setting and construction process of osteoporosis-specific quality of life measures both domestically and internationally.METHODS:All of the currently available publicly available osteoporosis-specific quality-of-life scales were found by searching the PubMed,Embase,CNKI,and WanFang Data.The search period included the time from database construction to August 2024.The basic information,development trend,target population,and the setting of the scale's dimensions,entries,and levels were taken from the original research and development literature that included the scale.The content of the dimensions and the scale's construction process were then compiled and examined.RESULTS:A total of 20 osteoporosis-specific quality of life scales were included in the study,and the literature on the development of 34 scales was traced.The number of dimensions of the included scales ranged from 2-7 dimensions,all of which included physiological dimensions;the number of entries of the scales ranged from 10-84 entries,while the number of levels set under the entries was mostly focused on four or five levels.There are three main ways of constructing the scales,of which the construction of a pool of entries and the screening of the entries according to classical measurement theory and item response theory is an approach that has emerged in recent years.CONCLUSION:According to the specific target population and diversified measurement objectives,the content of osteoporosis-specific quality of life scales has become increasingly streamlined,with fewer dimensions and entries overall;and its building procedure is gradually becoming more standardized.
6.Survey on the current status and analysis of influencing factors of health management cognition and medical care behaviors of active health-oriented community residents in Shanghai
Wanyu LI ; Xiaolan ZHANG ; Hua JIN ; Fen XU ; Dehua YU
Chinese Journal of General Practitioners 2025;24(3):270-278
Objective:To understand the current status of health management cognition and healthcare behaviors of community residents in Shanghai, and to analyze their related influencing factors, in order to promote the optimization of proactive health-oriented health management strategies.Methods:This study was a cross-sectional survey. From February to May 2023, 1-4 community health service centers were randomly selected from each administrative district in Shanghai by stratified random sampling using the random number table method. Ultimately, 28 community health service centers were selected as research sites. The research team then used convenience sampling method to select at least 50 patients as research subjects from those visiting each selected center. A total of 1 436 community residents were included in this study in the form of on-site completion of questionnaire stars, and the study covered the residents′ level of health management cognition, chronic disease management, intention to seek medical care, physical examination behavior, and handling of abnormal values. Multiple regression analysis was used to assess the correlation between health management cognition and medical consultation behavior and their influencing factors.Results:The results of the health management awareness survey showed that 827 residents (57.6%) had a relatively high level of awareness. Among the 755 residents (52.6%) with chronic diseases, the proportion of self-assessed stable control was significantly higher in the high-cognition group (318 (76.0%)) than that in the low-cognition group (223 (66.2%)), and the difference was statistically significant ( χ2=9.01, P=0.003). Multiple regression analysis showed that females ( OR=1.293, 95% CI: 1.028-1.627),≤44 years old and 45-59 years old ( OR=2.328, 95% CI: 1.648-2.328; OR=1.351, 95% CI: 1.035-1.763), bachelor′s degree or above ( OR=1.784, 95% CI: 1.256-2.534), living in suburban area ( OR=1.577, 95% CI: 1.235-2.014), use of employee health insurance and resident health insurance ( OR=2.294, 95% CI: 1.629-3.232; OR=1.628, 95% CI: 1.149-2.306), suffering from a chronic disease ( OR=3.110, 95% CI: 1.918-5.042), and having a contracted family doctor ( OR=1.870, 95% CI: 1.431-2.442) were all positive correlation with health management perception(all P<0.05). In terms of health care behavior, 908 (63.2%) residents showed a high active intention to seek medical care, and 906 (63.1%) and 796 (55.4%) residents showed active participation in medical check-ups and timely handling of medical check-up abnormal values, respectively. Residents in the high awareness group were significantly better than those in the low awareness group in terms of intention to seek medical care ( χ2=33.26), mode of medical checkups ( χ2=110.71), frequency of medical checkups ( χ2=45.37), and the way of dealing with abnormal values after medical checkups ( χ2=93.14), with the difference being statistically significant(all P<0.05). The results of linear regression analysis of the factors influencing the medical behavior of community residents showed that age≤44 and 45-59 ( B=0.479, 0.167), high school and specialist versus bachelor′s degree and above ( B=0.465, 0.739), use of employee medical insurance and residents′ health insurance ( B=0.604, 0.420), the number of current chronic diseases 1 ( B=0.919) and contracted family doctor ( B=0.134) of community residents′ health care behaviors are better (all P<0.05). Conclusions:The level of community residents′ health management cognition needs to be improved, and high health management cognition can significantly promote proactive healthcare-seeking behavior. However, residents′ medical behavior is still influenced by multidimensional factors. Signing a contract with a family doctor is significantly associated with high cognition and quality healthcare behaviors.
7.Survey on the current status and analysis of influencing factors of health management cognition and medical care behaviors of active health-oriented community residents in Shanghai
Wanyu LI ; Xiaolan ZHANG ; Hua JIN ; Fen XU ; Dehua YU
Chinese Journal of General Practitioners 2025;24(3):270-278
Objective:To understand the current status of health management cognition and healthcare behaviors of community residents in Shanghai, and to analyze their related influencing factors, in order to promote the optimization of proactive health-oriented health management strategies.Methods:This study was a cross-sectional survey. From February to May 2023, 1-4 community health service centers were randomly selected from each administrative district in Shanghai by stratified random sampling using the random number table method. Ultimately, 28 community health service centers were selected as research sites. The research team then used convenience sampling method to select at least 50 patients as research subjects from those visiting each selected center. A total of 1 436 community residents were included in this study in the form of on-site completion of questionnaire stars, and the study covered the residents′ level of health management cognition, chronic disease management, intention to seek medical care, physical examination behavior, and handling of abnormal values. Multiple regression analysis was used to assess the correlation between health management cognition and medical consultation behavior and their influencing factors.Results:The results of the health management awareness survey showed that 827 residents (57.6%) had a relatively high level of awareness. Among the 755 residents (52.6%) with chronic diseases, the proportion of self-assessed stable control was significantly higher in the high-cognition group (318 (76.0%)) than that in the low-cognition group (223 (66.2%)), and the difference was statistically significant ( χ2=9.01, P=0.003). Multiple regression analysis showed that females ( OR=1.293, 95% CI: 1.028-1.627),≤44 years old and 45-59 years old ( OR=2.328, 95% CI: 1.648-2.328; OR=1.351, 95% CI: 1.035-1.763), bachelor′s degree or above ( OR=1.784, 95% CI: 1.256-2.534), living in suburban area ( OR=1.577, 95% CI: 1.235-2.014), use of employee health insurance and resident health insurance ( OR=2.294, 95% CI: 1.629-3.232; OR=1.628, 95% CI: 1.149-2.306), suffering from a chronic disease ( OR=3.110, 95% CI: 1.918-5.042), and having a contracted family doctor ( OR=1.870, 95% CI: 1.431-2.442) were all positive correlation with health management perception(all P<0.05). In terms of health care behavior, 908 (63.2%) residents showed a high active intention to seek medical care, and 906 (63.1%) and 796 (55.4%) residents showed active participation in medical check-ups and timely handling of medical check-up abnormal values, respectively. Residents in the high awareness group were significantly better than those in the low awareness group in terms of intention to seek medical care ( χ2=33.26), mode of medical checkups ( χ2=110.71), frequency of medical checkups ( χ2=45.37), and the way of dealing with abnormal values after medical checkups ( χ2=93.14), with the difference being statistically significant(all P<0.05). The results of linear regression analysis of the factors influencing the medical behavior of community residents showed that age≤44 and 45-59 ( B=0.479, 0.167), high school and specialist versus bachelor′s degree and above ( B=0.465, 0.739), use of employee medical insurance and residents′ health insurance ( B=0.604, 0.420), the number of current chronic diseases 1 ( B=0.919) and contracted family doctor ( B=0.134) of community residents′ health care behaviors are better (all P<0.05). Conclusions:The level of community residents′ health management cognition needs to be improved, and high health management cognition can significantly promote proactive healthcare-seeking behavior. However, residents′ medical behavior is still influenced by multidimensional factors. Signing a contract with a family doctor is significantly associated with high cognition and quality healthcare behaviors.
8.Association of Co-Exposure to Polycyclic Aromatic Hydrocarbons and Metal(loid)s with the Risk of Neural Tube Defects: A Case-Control Study in Northern China.
Xiao Qian JIA ; Yuan LI ; Lei JIN ; Lai Lai YAN ; Ya Li ZHANG ; Ju Fen LIU ; Le ZHANG ; Linlin WANG ; Ai Guo REN ; Zhi Wen LI
Biomedical and Environmental Sciences 2025;38(2):154-166
OBJECTIVE:
Exposure to polycyclic aromatic hydrocarbons (PAHs) or metal(loid)s individually has been associated with neural tube defects (NTDs). However, the impacts of PAH and metal(loid) co-exposure and potential interaction effects on NTD risk remain unclear. We conducted a case-control study in China among population with a high prevalence of NTDs to investigate the combined effects of PAH and metal(loid) exposures on the risk of NTD.
METHODS:
Cases included 80 women who gave birth to offspring with NTDs, whereas controls were 50 women who delivered infants with no congenital malformations. We analyzed the levels of placental PAHs using gas chromatography and mass spectrometry, PAH-DNA adducts with 32P-post-labeling method, and metal(loid)s with an inductively coupled plasma mass spectrometer. Unconditional logistic regression was employed to estimate the associations between individual exposures and NTDs. Least absolute shrinkage and selection operator (LASSO) penalized regression models were used to select a subset of exposures, while additive interaction models were used to identify interaction effects.
RESULTS:
In the single-exposure models, we found that eight PAHs, PAH-DNA adducts, and 28 metal(loid)s were associated with NTDs. Pyrene, selenium, molybdenum, cadmium, uranium, and rubidium were selected through LASSO regression and were statistically associated with NTDs in the multiple-exposure models. Women with high levels of pyrene and molybdenum or pyrene and selenium exhibited significantly increased risk of having offspring with NTDs, indicating that these combinations may have synergistic effects on the risk of NTDs.
CONCLUSION
Our findings suggest that individual PAHs and metal(loid)s, as well as their interactions, may be associated with the risk of NTDs, which warrants further investigation.
Humans
;
Neural Tube Defects/chemically induced*
;
Polycyclic Aromatic Hydrocarbons/adverse effects*
;
Female
;
Case-Control Studies
;
China/epidemiology*
;
Adult
;
Pregnancy
;
Environmental Pollutants
;
Maternal Exposure/adverse effects*
;
Metals/toxicity*
;
Young Adult
;
Risk Factors
9.NSUN2 promotes proliferation, migration, and invasion of gastric cancer cells by mediating m5C modification of ARMC9
Yue LI ; Dong CHEN ; Jin WANG ; Yi PENG ; Yuanqi ZHANG ; Fen YANG ; Xuejun WANG
Journal of China Pharmaceutical University 2025;56(5):583-591
To investigate the impact and underlying mechanism of NOP2/Sun RNA methyltransferase 2 (NSUN2) on gastric cancer progression, TCGA database was used and revealed a significant upregulation of NSUN2 expression in gastric cancer tissues. Western blot analysis revealed that NSUN2 was upregulated in gastric cancer cells compared with gastric mucosal epithelial cells. Colony formation assays demonstrated an enhanced colony-forming capacity in NSUN2-overexpressing cells. Furthermore, Transwell assays showed a marked increase in cell migration and invasion upon high NSUN2 expression. Moreover, TCGA database analysis suggested ARMC9 as a potential downstream target of NSUN2. Subsequently, MeRIP-qPCR analysis revealed that NSUN2 overexpression could increase m5C modification of ARMC9 mRNA, and reduce its degradation rate, thus enhancing protein expression. Additionally, ARMC9 overexpression augmented cellular colony formation and migratory and invasive capabilities. These findings indicate that NSUN2 promotes gastric cancer progression by elevating m5C modification of ARMC9 mRNA, increasing its stability and enhancing its expression, therefore, NSUN2 and ARMC9 may serve as potential therapeutic targets for gastric cancer.
10.Analysis of Hormone Levels in Patients with Hematological Diseases Before and After Hematopoietic Stem Cell Tansplantation.
Fen LI ; Yu-Jin LI ; Jie ZHAO ; Zhi-Xiang LU ; Xiao-Li GAO ; Hai-Tao HE ; Xue-Zhong GU ; Feng-Yu CHEN ; Hui-Yuan LI ; Qi SA ; Lin ZHANG ; Peng HU
Journal of Experimental Hematology 2025;33(5):1443-1452
OBJECTIVE:
By analyzing the hormone secretion of the adenohypophysis, thyroid glands, gonads, and adrenal cortex in patients with hematological diseases before and after hematopoietic stem cell transplantation (HSCT), this study aims to preliminarily explore the effect of HSCT on patients' hormone secretion and glandular damage.
METHODS:
The baseline data of 209 hematological disease patients who underwent HSCT in our hospital from January 2019 to December 2023, as well as the data on the levels of hormones secreted by the adenohypophysis, thyroid glands, gonads and adrenal cortex before and after HSCT were collected, and the changes in hormone levels before and after transplantation were analyzed.
RESULTS:
After allogeneic HSCT, the levels of thyroid-stimulating hormone (TSH), triiodothyronine (T3), free triiodothyronine (FT3) and estradiol (E2) decreased, while the levels of luteinizing hormone (LH) and follicle- stimulating hormone (FSH) increased. The T3 level of patients with decreased TSH after transplantation was lower than that of those with increased TSH after transplantation. In female patients, the levels of prolactin (PRL), progesterone (Prog), and testosterone (Testo) decreased after HSCT. Testo and PRL decreased when there was a donor-recipient sex mismatch, and the levels of adrenocorticotropic hormone (ACTH) and cortisol (COR) decreased when the HLA matching was haploidentical. The levels of T3, FT3, and PRL decreased after autologous HSCT. In allogeneic HSCT patients, the levels of TSH, T4, T3, FT3, and ACTH in the group with graft-versus-host disease (GVHD) were significantly lower than those in the group without GVHD. Logistic regression analysis showed the changes in hormone levels after transplantation were not correlated with factors such as the patient's sex, age, or whether the blood types of the donor and the recipient are the same.
CONCLUSION
HSCT can affect the endocrine function of patients with hematological diseases, mainly affecting target glandular organs such as the thyroid, gonads, and adrenal glands, while the secretory function of the adenohypophysis is less affected.
Humans
;
Hematopoietic Stem Cell Transplantation
;
Female
;
Male
;
Hematologic Diseases/blood*
;
Follicle Stimulating Hormone/blood*
;
Triiodothyronine/blood*
;
Luteinizing Hormone/blood*
;
Thyroid Gland/metabolism*
;
Estradiol/blood*
;
Thyrotropin/blood*
;
Gonads/metabolism*
;
Adult
;
Middle Aged
;
Adrenocorticotropic Hormone/blood*
;
Hormones/metabolism*
;
Adrenal Cortex/metabolism*
;
Prolactin

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