Respiratory syncytial virus vaccination in older adults and patients with chronic disorders: A position paper from the Portuguese Society of Pulmonology, the Portuguese Association of General and Family Medicine, the Portuguese Society of Cardiology, the Portuguese Society of Infectious Diseases and Clinical Microbiology, the Portuguese Society of Endocrinology, Diabetes and Metabolism, and the Portuguese Society of Internal Medicine

BACKGROUND

Respiratory syncytial virus (RSV) is an important cause of lower respiratory tract infection, hospitalisation and death in adults.

METHODS

Based on evidence regarding the impact of RSV on adult populations at risk for severe infection and the efficacy and safety of RSV vaccines, the Portuguese Society of Pulmonology, the Portuguese Association of General and Family Medicine, the Portuguese Society of Cardiology, the Portuguese Society of Infectious Diseases and Clinical Microbiology, the Portuguese Society of Endocrinology, Diabetes and Metabolism, and the Portuguese Society of Internal Medicine endorses this position paper with recommendations to prevent RSV-associated disease and its complications in adults through vaccination.

CONCLUSION

The RSV vaccine is recommended for people aged ≥50 years with risk factors (chronic obstructive pulmonary disease, asthma, heart failure, coronary artery disease, diabetes, chronic kidney disease, chronic liver disease, immunocompromise, frailty, dementia, and residence in a nursing home) and all persons aged ≥60 years. If it cannot be made available to this population, then the vaccine should be prioritised for individuals aged ≥75 years and those aged ≥50 years with risk factors. The vaccine should preferably be given between September and November and can be co-administered with the influenza vaccine. Ongoing studies on RSV vaccines may justify extending these recommendations in the future.

Smoking-attributable mortality in Portugal and its regions in 2019

INTRODUCTION AND OBJECTIVES

Timely regional-specific estimates of smoking-attributable mortality (SAM) are crucial for healthcare planning and tobacco control advocacy. Currently, this information is lacking in Portugal. The aim of this study was to estimate SAM by region in 2019 among the Portuguese population aged ≥35 years.

METHODS

SAM was estimated using an independent-prevalence method. Observed mortality was obtained from Portugal Statistics; lung cancer mortality rates in smokers and never-smokers from the Cancer Prevention Study I-II and updated relative risks from five contemporary US cohort studies. SAM was estimated for each NUTS-II region by sex, age, and cause of death. Crude SAM rates, sex and age-specific rates, and age-adjusted rates were calculated using the direct method.

RESULTS

In 2019, tobacco consumption caused 13,847 deaths, representing 12.3% of total mortality among the Portuguese population aged ≥35 years. Of the total SAM, 71.2% occurred in men and 22.2% in those under 65 years; 42.5% was due to cancer, 35.4% to cardiovascular and metabolic diseases, and 22.2% to respiratory diseases. SAM greatly varied among regions from 2.1% in Madeira to 36.2% in the North region. In men, cancer was the leading cause of death in all regions, while in women it was cardiovascular and metabolic diseases.

CONCLUSION

In Portugal, tobacco-mortality burden is high and varies significantly by region, sex and age. Therefore, estimates disaggregated by sociodemographic data and region may better support decision-makers while tailoring and implementing tobacco control policies addressing health population needs. The apparent lower tobacco burden among women and in some Portuguese regions may dramatically rise in the near future. This and the high SAM in Portugal, particularly in some regions, highlights the need to accelerate tobacco control both at national and regional levels.

The role of MicroRNAs as early biomarkers of asbestos-related lung cancer: A systematic review and meta-analysis

BACKGROUND

Asbestos is still the leading cause of occupational cancer mortality worldwide. Asbestos-related lung cancer (LC) and malignant pleural mesothelioma (MPM) prognosis is still poor especially at advanced stage, so early diagnosis biomarkers are needed. MicroRNAs (miRNAs) have been proposed as potential early diagnostic biomarkers of asbestos-related LC and MPM.

AIM

To evaluate the role of miRNAs as diagnostic and prognostic biomarkers of asbestos-related LC and MPM by performing a literature systematic review and meta-analysis.

METHODS

MEDLINE, EMBASE via Ovid, PUBMED and Cochrane library databases were systematically searched up to April 2023 to identify relevant articles. A grey literature search was also conducted using the Google Scholar platform. MeSH and free text terms for 'asbestos', 'occupational exposure', 'lung cancer', 'mesothelioma' and 'miRNAs' were used to search the literature. Our systematic review protocol was registered in the PROSPERO database. Study quality was assessed via the Newcastle-Ottawa Scale.

RESULTS

From the search, 331 articles were retrieved, and, after applying our selection criteria, and exclusion of one study for poor quality, 27 studies were included in the review. Most of the studies were hospital-based case-control, conducted in Europe, and evaluated MPM among men only. MiRNAs expression was measured mainly in plasma or serum. MiR-126, miR-132-3p, and miR-103a-3p were the most promising diagnostic biomarkers for MPM, and we estimated a pooled area under the curve (AUC) of 85 %, 73 %, and 50 %, respectively. In relation to MPM prognosis, miR-197‑3p resulted associated with increased survival time. MiR-126, alone and combined with miR-222, was confirmed associated also to LC diagnosis, together with miR-1254 and miR-574-5p; no miRNA was found associated to LC prognosis.

CONCLUSION

Based on our systematic literature review there is suggestive evidence that the expression of specific miRNAs in the blood serum or plasma are associated with asbestos-related LC and MPM diagnosis and prognosis. Further large longitudinal studies are urgently needed to validate these findings and elucidate the underlying mechanisms given the potential important implications for patients' survival.

Global, regional, and national progress towards the 2030 global nutrition targets and forecasts to 2050: a systematic analysis for the Global Burden of Disease Study 2021

BACKGROUND

The six global nutrition targets (GNTs) related to low birthweight, exclusive breastfeeding, child growth (ie, wasting, stunting, and overweight), and anaemia among females of reproductive age were chosen by the World Health Assembly in 2012 as key indicators of maternal and child health, but there has yet to be a comprehensive report on progress for the period 2012 to 2021. We aimed to evaluate levels, trends, and observed-to-expected progress in prevalence and attributable burden from 2012 to 2021, with prevalence projections to 2050, in 204 countries and territories.

METHODS

The prevalence and attributable burden of each target indicator were estimated by age group, sex, and year in 204 countries and territories from 2012 to 2021 in the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021, the most comprehensive assessment of causes of death, disability, and risk factors to date. Country-specific relative performance to date was evaluated with a Bayesian meta-regression model that compares prevalence to expected values based on Socio-demographic Index (SDI), a composite indicator of societal development status. Target progress was forecasted from 2021 up to 2050 by modelling past trends with meta-regression using a combination of key quantities and then extrapolating future projections of those quantities.

FINDINGS

In 2021, a few countries had already met some of the GNTs: five for exclusive breastfeeding, four for stunting, 96 for child wasting, and three for child overweight, and none met the target for low birthweight or anaemia in females of reproductive age. Since 2012, the annualised rates of change (ARC) in the prevalence of child overweight increased in 201 countries and territories and ARC in the prevalence of anaemia in females of reproductive age decreased considerably in 26 countries. Between 2012 and 2021, SDI was strongly associated with indicator prevalence, apart from exclusive breastfeeding (|r-|=0·46-0·86). Many countries in sub-Saharan Africa had a decrease in the prevalence of multiple indicators that was more rapid than expected on the basis of SDI (the differences between observed and expected ARCs for child stunting and wasting were -0·5% and -1·3%, respectively). The ARC in the attributable burden of low birthweight, child stunting, and child wasting decreased faster than the ARC of the prevalence for each in most low-income and middle-income countries. In 2030, we project that 94 countries will meet one of the six targets, 21 countries will meet two targets, and 89 countries will not meet any targets. We project that seven countries will meet the target for exclusive breastfeeding, 28 for child stunting, and 101 for child wasting, and no countries will meet the targets for low birthweight, child overweight, and anaemia. In 2050, we project that seven additional countries will meet the target for exclusive breastfeeding, five for low birthweight, 96 for child stunting, nine for child wasting, and one for child overweight, and no countries are projected to meet the anaemia target.

INTERPRETATION

Based on current levels and past trends, few GNTs will be met by 2030. Major reductions in attributable burden for exclusive breastfeeding and anthropometric indicators should be recognised as huge scientific and policy successes, but the comparative lack of progress in reducing the prevalence of each, along with stagnant anaemia in women of reproductive age and widespread increases in child overweight, suggests a tenuous status quo. Continued investment in preventive and treatment efforts for acute childhood illness is crucial to prevent backsliding. Parallel development of effective treatments, along with commitment to multisectoral, long-term policies to address the determinants and causes of suboptimal nutrition, are sorely needed to gain ground.

FUNDING

Bill & Melinda Gates Foundation.

Association between methylmalonic acid and prevalence of depression in US adults: evidence from NHANES 2011-2014

Background: Depression is a prevalent mental disorder with high morbidity and mortality globally. Methylmalonic acid (MMA) is involved in the pathogenesis of numerous diseases. However, it is unclear whether there is an association between MMA and the prevalence of depression.Methods: This study enrolled 7866 US adults from the 2011-2014 survey of the National Health and Nutrition Examination Survey (NHANES). Individuals were categorized into depression group and non-depression group based on Patient's Health Questionnaire-9 (PHQ-9) score. The association between MMA concentrations and prevalence of depression was analysed by multivariate logistic and linear regression, restricted cubic spline regression, and subgroup analysis. Mediation analysis was used to explore the role of inflammation in the relationship between MMA and depression.Results: MMA concentrations were higher in participants with depression than those without depression. There was a positive and linear relationship of MMA concentrations with PHQ-9 score and depression risk, respectively. Moreover, the association was stable in most subgroups. Furthermore, inflammatory factors were positively correlated to MMA concentrations and prevalence of depression. In addition, white blood cell, neutrophil and alkaline phosphatase (ALP) mediated the relationship between MMA and depression.Conclusion: Our findings revealed that there was a linear and positive correlation between MMA and the prevalence of depression in US adults, which might be mediated by inflammation.

TGF-β: elusive target in diabetic kidney disease

Transforming growth factor-beta (TGF-β), a cytokine with near omnipresence, is an integral part of many vital cellular processes across the human body. The family includes three isoforms: Transforming growth factor-beta 1, 2, and 3. These cytokines play a significant role in the fibrosis cascade. Diabetic kidney disease (DKD), a major complication of diabetes, is increasing in prevalence daily, and the classical diagnosis of diabetes is based on the presence of albuminuria. The occurrence of nonalbuminuric DKD has provided new insight into the pathogenesis of this disease. The emphasis on multifactorial pathways involved in developing DKD has highlighted some markers associated with tissue fibrosis. In diabetic nephropathy, TGF-β is significantly involved in its pathology. Its presence in serum and urine means that it could be a diagnostic tool while its regulation provides potential therapeutic targets. Completely blocking TGF-β signaling could reach untargeted regions and cause unanticipated effects. This paper reviews the basic details of TGF-β as a cytokine, its role in DKD, and updates on research carried out to validate its candidacy.

Mini-review on the therapeutic vaccines targeting chronic infectious diseases: Evaluation system of therapeutic vaccines targeting HPV and EBV-related cancers

Chronic infectious diseases are threatening human health today, and their public health severity is increasing. The efficacy issues of drugs and the increase in drug-resistant pathogens require new response strategies for chronic infectious diseases, and therapeutic vaccines have recently been proposed as an effective alternative. However, research on therapeutic vaccines is still relatively underdeveloped. To solve this problem, an accurate understanding of the status and the challenge at hand of therapeutic vaccines targeting chronic infectious diseases is needed. In the present review, we provide an overview of the latest research trends in therapeutic vaccines targeting chronic infectious diseases and summarize the development status of therapeutic vaccines currently undergoing clinical research, focusing on the cases of human papillomavirus (HPV) and Epstein-Barr virus (EBV) as representative examples. We highlight the importance of standard methods for the evaluation of therapeutic vaccine, focusing on the cell-mediated immune response, which might accelerate therapeutic vaccine development.

Exploring socio-economic dimensions in HIV research: a comprehensive bibliometric analysis (1992-2024)

The socio-economic burden of HIV infection remains a critical global health concern. This study was conducted to perform a comprehensive bibliometric analysis of the socio-economic burden of HIV infection, highlighting research trends, collaboration networks, and the evolving focus on social determinants of health over the past 32 years. A systematic search was conducted in Scopus and Web of Science Core Collection databases, covering publications from 1992 to 2024. The analysis was performed using RStudio and Biblioshiny, focusing on 1,054 studies from 422 publications. This study revealed a steady annual growth rate of 16.72% in publications on the socio-economic burden of HIV from 1992 to 2024, with the USA and Canada leading in contributions. The University of Toronto emerged as the top institution, while 'social determinants of health' and 'HIV infections' were identified as pivotal research themes. Collaboration networks were predominantly among high-income countries, with limited engagement from high-burden regions like sub-Saharan Africa. Key journals, such as AIDS and Behavior, were identified as central to advancing the field. Thematic analysis highlighted a shift from biomedical to socio-economic factors, emphasizing the need for equitable global collaboration and research addressing disparities in HIV management. This comprehensive analysis provides valuable insights into the evolving landscape of HIV socio-economic burden research, emphasizing the need for increased collaboration with high-burden regions and a continued focus on addressing social determinants of health in HIV management.

Closer adult child-parent relations the stronger the vaccine hesitancy: A cross-sectional study of adult Children's attitudes toward pneumococcal vaccination of elderly parents and its determinants in Guangzhou, China

Pneumococcal disease (PD) has a serious effect on older people aged 60 years and above. However, pneumococcal vaccination rates for older people in China remain low. This study aimed to explore adult children's perspectives on the vaccination of their parents and to examine the determinants of vaccine hesitancy. In October 2022, a cross-sectional survey was conducted in Guangzhou, China. The questionnaire assesses data on the sociodemographic characteristics of adult children and their parents, health beliefs about vaccination, and variables measuring adult child-parent relationships. Adult child-parent relationships types were identified by Latent Class Analysis (LCA). Binary logistic regression was employed to examine the factors associated with vaccine hesitancy. A total of 1,597 respondents were enrolled in the study, and 59.8% of the adult children expressed hesitancy about vaccinating their elderly parents. The LCA model identified three distinct types of adult child-parent relations: detached, intimate but distant, and tight-knit. Binary logistic regression analyses revealed that respondents with intimate but distant (OR = 3.04) and tight-knit (OR = 3.01) adult child - parent relationships, high literacy (OR = 2.63), and high perceived barriers of vaccine (OR = 1.18) were more likely to be hesitant. Conversely, those with high income (OR = 0.35) and parents with difficulties in activities of daily living (OR = 0.44) were less likely to exhibit vaccine hesitancy. Close adult child-parent relations were positively associated with vaccine hesitancy. Health education related to the vaccination of older persons should be extended to adult children.

The real-world impact of cariprazine on short- and long-term disability outcomes among commercially insured patients in the United States

AIM

To compare all-cause and mental health (MH)-related short-term and long-term disability leaves and associated costs among patients in the United States with bipolar disorder (BP), major depressive disorder (MDD), or schizophrenia spectrum disorders (SCZ) before versus after cariprazine initiation.

METHODS

Merative MarketScan Commercial and Health and Productivity Management (HPM) databases (January 2016 to December 2021) were utilized to identify adults diagnosed with BP, MDD, or SCZ with ≥2 pharmacy cariprazine claims (first claim = index), ≥3 months of cariprazine use (adjunctively for MDD), and continuous commercial insurance coverage and HPM eligibility during baseline (12 months pre-index) and ≥3 months post-index. Observation continued until cariprazine discontinuation, insurance or HPM eligibility end, 1 year post-index, or HPM data availability end. All-cause and MH-related disability claims, days, and costs were evaluated. Baseline versus post-index rates of disability claims (events) and days were compared using rate ratios (RR); costs were compared using mean cost differences. Comparisons were calculated from generalized estimating equation models. Analyses were replicated separately across indications.

RESULTS

There were 489 patients overall (BP = 238, MDD = 233, SCZ = 18; mean age = 43.3 years; 60.7% female; mean follow-up = 7.6 months). All-cause rates of disability events and days following cariprazine initiation were 29% (RR = 0.71 [95% CI = 0.57, 0.86]) and 28% (0.72 [0.53, 0.94]) lower than baseline, respectively (both p < .05). MH-related rates of disability events and days were 40% (0.60 [0.43, 0.80]) and 43% (0.57 [0.34, 0.84]) lower, respectively (both p < .01). All-cause disability costs were $2,917 lower and MH-related disability costs were $2,482 lower than baseline (40% and 51% decrease, respectively; both p < .01). Results were similar for indication-specific analyses.

LIMITATIONS

Limited generalizability to patients who are unemployed, uninsured, or have public insurance.

CONCLUSIONS

Rates of disability events, days, and mean costs were significantly lower after versus before cariprazine initiation. These results can help contextualize cariprazine's role in managing disability for these patients.

Burden of female infertility in 204 countries and territories, 1990-2021: results from the Global Burden of Disease Study 2021

OBJECTIVE

To explore the global burden of female infertility from 1990 to 2021 by examining trends in prevalence and years lived with disability (YLD).

METHODS

Data from the Global Burden of Disease Study 2021 (GBD 2021) were analyzed with a focus on the prevalence and YLD of female infertility in women aged 15-49 years. Statistical models were used to estimate ASPRs and YLD across regions and countries.

RESULTS

The global prevalence of female infertility was 110.1 million in 2021, with an age-standardized rate of 2,764.6 per 100,000 population. The YLD for infertility in 2021 was 601,134, which represented a 33.1% increase since 1990. Regionally, East Asia and Eastern Europe had the highest rates of infertility, whereas Australasia had the lowest rate.

CONCLUSIONS

The study highlights a significant rise in the burden of female infertility, particularly in high-income regions. Study findings emphasize the need for targeted public health strategies and healthcare interventions to address this growing issue.

Subnational trend and driving factors for pancreatic cancer burden in China, 1990-2021: an analysis based on the Global Burden of Disease Study 2021

BACKGROUND

The mortality of pancreatic cancer in China showed an increasing trend between 2005 and 2020, with significant discrepancies in the burden of pancreatic cancer in provinces.

METHODS

We analyzed numbers of death, incidence, disability-adjusted life years (DALY) and corresponding age-standardized rates for pancreatic cancer in China using data from the Global Burden of Disease Study 2021. We conducted trend analysis in pancreatic cancer burden over time by age group and gender. Decomposition analysis was used to assess the drivers of change in cancer-related deaths in China due to three explanatory factors: population growth, population ageing and age-specific mortality.

RESULTS

In 2021, the ASMR of pancreatic cancer in China was 5.72/100,000(95%UI: 4.59, 6.91), the age-standardized incidence (ASIR) rate was 5.64/100,000(95%UI: 4.52, 6.84) and the age-standardized DALY rate was 137.23/100,000 (95%UI:108.15, 166.74). From 1990 to 2021, the ASMR of pancreatic cancer in China generally showed an increasing trend (AAPC: 0.56, 95%UI: 0.52, 0.59). The burden of pancreatic cancer was consistently higher in Chinese men compared to women during the study period.Compared with 1990, the number of deaths from pancreatic cancer has increased in all provinces of China in 2021, with the overall number of deaths increasing by 67.49%. Population ageing was the major cause of the increase in deaths from pancreatic cancer in China, accounting for 45.89%.

CONCLUSIONS

The burden of pancreatic cancer in China is still at a high level and population ageing is the main reason for the increase in pancreatic cancer deaths.

The transformative terrain: An in-depth analysis of trends in self-managed abortion in India using NFHS-5 national data

In 2022, the World Health Organization endorsed self-managed abortion (SMA) with medical abortion pills as a safe abortion method. This study utilises India's National Family Health Survey Round 5 (2019-2021) data from 724,115 women to estimate state-level self-managed abortion (SMA). It examines SMA characteristics, trends over time, and self-reported complications in India using descriptive and multivariate analysis. This study finds significant regional disparities, with a higher proportion of self-managed abortions in the eastern (45%), central (39%), and north-eastern (31%) regions. A rising trend in SMA was observed, increasing from 19% in 2014-45% in 2021. There were higher odds of SMA among economically disadvantaged, less educated, and employed women. The study found no increased odds of self-reported complications in SMA, suggesting its safety and effectiveness, especially at early gestational ages. These findings underscore the importance of supporting reproductive choices, including access to quality drugs and information, while highlighting the continued relevance of provider-assisted care, particularly for surgical abortions and later gestational needs. This study offers crucial insights on SMA for programmatic and policy advocacy while underscoring the need for more research in the SMA field.

Multivariable prediction of returning to work among early-onset colorectal cancer survivors in China: A two-year follow-up

Objective

The number of early-onset colorectal cancer survivors (EOCRCs) is increasing. The primary aim of rehabilitation after battling cancer is to enable patients to return to work, as they constitute a significant contributor to societal productivity. A predictive model was developed to identify priority populations requiring intervention and refine responses to increase their capacity to return to work after undergoing treatment for EOCRC.

Methods

The baseline information was collected before patients were discharged at the end of their treatment course. The data of patients who returned to work were collected at 1 and 2 years after discharge. A predictive variable model was developed via binary logistic regression. The TRIPOD checklist was used.

Results

At 1 year, 64.7% of the EOCRC survivors had returned to work. Male sex, education, return to work self efficacy, re-entry readiness and social support increased the possibility of returning to work; higher levels of self-perceived fatigue and lower levels of family care decreased the possibility of returning to work within the 1-year model. At 2 years, 72.8% of the EOCRC survivors had returned to work. In the 2-year model, education, self-transcendence, return to work self efficacy, re-entry readiness and occupational environment increased the possibility of returning to work; self-perceived fatigue and psychosocial adjustment decreased the possibility of returning to work.

Conclusions

The results of this study can guide early assessment and intervention for EOCRC survivors, to facilitate their return to work.

Global burden and trends of the Clostridioides difficile infection-associated diseases from 1990 to 2021: an observational trend study

BACKGROUND

This study was aimed to explore the global burden and trends of Clostridioides difficile infections (CDI) associated diseases.

METHODS

Data for this study were obtained from the Global Burden of Disease Study 2021. The burden of CDI was assessed using the age-standardized rates of disability-adjusted life years (ASR-DALYs) and deaths (ASDRs). Trends in the burden of CDI were presented using average annual percentage changes (AAPCs).

RESULTS

The ASR-DALYs for CDI increased from 1.83 (95% UI: 1.53-2.18) per 100,000 in 1990 to 3.46 (95% UI: 3.04-3.96) per 100,000 in 2021, with an AAPC of 2.03% (95% CI: 1.67-2.4%). The ASDRs for CDI rose from 0.10 (95% UI: 0.08-0.11) per 100,000 in 1990 to 0.19 (95% UI: 0.16-0.23) per 100,000 in 2021, with an AAPC of 2.26% (95% CI: 1.74-2.79%). In 2021, higher burdens of ASR-DALYs (10.7 per 100,000) and ASDRs (0.53 per 100,000) were observed in high socio-demographic index (SDI) areas, and among age group over 70 years (31.62/100,000 for ASR-DALYs and 2.45/100,000 for ASDRs). During the COVID-19 pandemic, the global ASR-DALYs and ASDRs slightly decreased. However, in regions with low SDI, low-middle and middle SDI, those rates slightly increased.

CONCLUSION

The global burden of CDI has significantly increased, particularly in regions with high SDI and among individuals aged 70 years and above. During the COVID-19 pandemic period from 2020 to 2021, the burden of CDI further increased in regions with low, low-middle, and middle SDI. These findings underscore the need for increased attention and intervention, especially in specific countries and populations.

Causal impact of elevated body mass index on diabetic kidney disease: an integrated Mendelian randomization and Global Burden of Disease Study 2021 analysis

BACKGROUND

Elevated body mass index (BMI) has been implicated in the pathogenesis of diabetic kidney disease among patients with type 2 diabetes mellitus (T2DKD). However, establishing a causal relationship and quantifying the resultant global health impact remain challenging.

METHODS

A two-sample Mendelian randomization (MR) analysis was conducted using summary-level data obtained from the IEU database. Multiple MR approaches, including inverse variance weighted (IVW), MR-Egger regression, weighted median, weighted mode, and simple mode methods, were implemented to ensure robust causal inference. In parallel, Global Burden of Disease Study (GBD) 2021 were analyzed to determine the trends in mortality and disability-adjusted life years (DALYs) in T2DKD attributable to high BMI (HBMI-T2DKD) from 1990 to 2021. Joinpoint regression was used to estimate the average annual percent change (AAPC). Bayesian age-period-cohort (BAPC) models were then applied to project the disease burden through 2049.

RESULTS

MR analyses provided strong evidence for a causal relationship between elevated BMI and T2DKD. The GBD analysis revealed a sustained global increase in HBMI-T2DKD burden over the past three decades. Between 1990 and 2021, the result of AAPC indicated a persistent upward trend. The burden was particularly high among older adults, with the highest impact observed in East Asia and middle Socio-Demographic Index (SDI) region. By 2049, HBMI-T2DKD-related disease burden were projected to continue rising.

CONCLUSIONS

Elevated BMI is a significant causal risk factor for T2DKD. The integration of MR and GBD 2021 data underscores the urgent need for targeted public health interventions to reduce BMI levels, especially in high-risk regions and aging populations.

Decomposition analysis of lung cancer and COPD mortality attributable to ambient PM2.5 in China (1990-2021)

OBJECTIVE

This study aimed to evaluate the long-term trends in lung cancer (LC) and chronic obstructive pulmonary disease (COPD) mortality attributable to particulate matter (PM2.5) in China and to identify the contributions of population aging and other risk factors to changes in mortality rates.

METHODS

Using data from 1991 to 2021, we assessed trends in LC and COPD deaths attributable to PM2.5 through linear regression. Decomposition analysis was conducted to determine the extent to which changes in mortality rates were driven by demographic and non-demographic factors.

RESULTS

The crude mortality rates attributable to PM2.5 increased significantly for LC (500.40%) and COPD (85.26%). From 1990 to 2021, LC mortality attributable to PM2.5 increased annually by 4.11% (95% CI: 3.64%, 4.59%), while COPD mortality decreased annually by 1.23% (95% CI: -0.82%, -1.65%). Decomposition analysis revealed that 43.0% of the increase in LC mortality was due to population aging, and 57.0% was attributed to changes in other risk factors. For COPD, population aging contributed to an 18.547/100,000 increase, whereas other risk factors reduced mortality by 10.628/100,000.

CONCLUSIONS

The findings highlight the critical roles of population aging and risk factor modification in LC and COPD mortality trends. Interventions to address aging-related vulnerabilities and air pollution control are essential to mitigate future health burdens.

Machine learning algorithms for diabetic kidney disease risk predictive model of Chinese patients with type 2 diabetes mellitus

BACKGROUND

Diabetic kidney disease (DKD) is a common and serious complication of diabetic mellitus (DM). More sensitive methods for early DKD prediction are urgently needed. This study aimed to set up DKD risk prediction models based on machine learning algorithms (MLAs) in patients with type 2 DM (T2DM).

METHODS

The electronic health records of 12,190 T2DM patients with 3-year follow-ups were extracted, and the dataset was divided into a training and testing dataset in a 4:1 ratio. The risk variables for DKD development were ranked and selected to establish forecasting models. The performance of models was further evaluated by the indexes of sensitivity, specificity, positive predictive value, negative predictive value, accuracy, as well as F1 score, using the testing dataset. The value of accuracy was used to select the optimal model.

RESULTS

Using the importance ranking in the random forest package, the variables of age, urinary albumin-to-creatinine ratio, serum cystatin C, estimated glomerular filtration rate, and neutrophil percentage were selected as the predictors for DKD onset. Among the seven forecasting models constructed by MLAs, the accuracy of the Light Gradient Boosting Machine (LightGBM) model was the highest, indicated that the LightGBM algorithms might perform the best for predicting 3-year risk of DKD onset.

CONCLUSIONS

Our study could provide powerful tools for early DKD risk prediction, which might help optimize intervention strategies and improve the renal prognosis in T2DM patients.

Determinants of outpatient healthcare-seeking behaviors among the rural poor affected by chronic conditions in India: a population-based cross-sectional study in seven states

BACKGROUND

A rising burden of chronic non-communicable diseases (CNCDs) increases demand for outpatient healthcare. Yet, evidence on preferences and barriers to healthcare services for India's most disadvantaged population, the target of India's largest public health insurance scheme (PM-JAY), is lacking.

OBJECTIVE

We explore determinants of outpatient healthcare-seeking behavior among PM-JAY eligible individuals with CNCDs in rural areas of seven states.

METHODS

Using cross-sectional data from a household survey (conducted between November 2019 and March 2020), we employed multilevel multinomial logistic regression to identify factors associated with seeking care from informal (home treatment, pharmacies, traditional healers), formal public, or formal private providers, compared with no care. Anderson's behavioral model informed the selection of independent variables.

RESULTS

Of 51,820 individuals, 5,061 (9.8%) reported a chronic condition. Despite their disease, 1,168 (23.1%) reported not using regular outpatient care. Another 2,421 individuals (48.0%) used formal private, 922 (18.3%) used formal public, and 535 (10.6%) used informal care. Predictors of formal private care were higher socioeconomic status (RRR = 2.441, 95% CI [1.61, 3.70]) and health insurance coverage (RRR = 1.478, 95% CI [1.12, 1.95]). Residents of Tamil Nadu, Kerala, and Gujarat were more likely to use formal public care (RRR = 23.915, 95% CI [9.01, 63.44]). Suffering from Major CNCDs or experiencing limitations in daily activities increased the probability of using healthcare across all options.

CONCLUSION

Future research should explore the reasons for non-utilization of chronic care and the preference for private providers. Policies to enhance public healthcare utilization and expand insurance for outpatient care could improve access and reduce health inequities.

Knowledge, attitudes and practices of women regarding breast and cervical cancer screening: a qualitative study in India

In this study, we aimed to understand the factors that influence the use of breast and cervical cancer screening services in India. Purposive sampling was applied - and 64 participants with different characteristics based on their literacy, screening status, and rural or urban setting were classified into eight groups. The Knowledge, Attitudes and Practices (KAP) framework was used to conduct focus group discussions with each group. Data was analysed using directed content analysis. Regarding knowledge, our findings indicated that women who had previously undergone screening had some knowledge about the causes, risk factors, and symptoms of breast and cervical cancer. Most women were unaware of the screening procedure types and their costs, eligibility criteria, and frequency. None were aware of the link between cervical cancer and the human papillomavirus (HPV) infection. Regarding attitudes, all participants expressed that screening would be beneficial;when questioned if they would undergo screening without symptoms or physicians recommendations their opinions varied. The influence of their spouses or male children influenced their decision to undergo screening. Regarding practices, participants were unaware of and even overestimated the actual costs of screening services. They agreed that they would require subsidisation or fixed pricing from the government to undergo screening.

Evolving perspectives on evaluating obesity: from traditional methods to cutting-edge techniques

Objective: This review examines the evolution of obesity evaluation methods, from traditional anthropometric indices to advanced imaging techniques, focusing on their clinical utility, limitations, and potential for personalized assessment of visceral adiposity and associated metabolic risks.

Methods: A comprehensive analysis of existing literature was conducted, encompassing anthropometric indices (BMI, WC, WHR, WHtR, NC), lipid-related metrics (LAP, VAI, CVAI, mBMI), and imaging technologies (3D scanning, BIA, ultrasound, DXA, CT, MRI). The study highlights the biological roles of white, brown, and beige adipocytes, emphasizing visceral adipose tissue (VAT) as a critical mediator of metabolic diseases.

Conclusion: Although BMI and other anthropometric measurements are still included in the guidelines, indicators that incorporate lipid metabolism information can more accurately reflect the relationship between metabolic diseases and visceral obesity. At the same time, the use of more modern medical equipment, such as ultrasound, X-rays, and CT scans, allows for a more intuitive assessment of the extent of visceral obesity.

The regulatory effect of chitooligosaccharides on islet inflammation in T2D individuals after islet cell transplantation: the mechanism behind Candida albicans abundance and macrophage polarization

Islet cell transplantation (ICT) represents a promising therapeutic approach for addressing diabetes mellitus. However, the islet inflammation during transplantation significantly reduces the surgical outcome rate, which is related to the polarization of macrophages. Chitooligosaccharides (COS) was previously reported which could modulate the immune system, alleviate inflammation, regulate gut microecology, and repair the intestinal barrier. Therefore, we hypothesized COS could relieve pancreatic inflammation by regulating macrophage polarization and gut microbiota. First, 18S rDNA gene sequencing was performed on fecal samples from the ICT population, showing abnormally increased amount of Candida albicans, possibly causing pancreatic inflammation. Functional oligosaccharides responsible for regulating macrophage polarization and inhibiting the growth of Candida albicans were screened. Afterwards, human flora-associated T2D (HMA-T2D) mouse models of gut microbiota were established, and the ability of the selected oligosaccharides were validated in vivo to alleviate inflammation and regulate gut microbiota. The results indicated that ICT significantly decreased the alpha diversity of gut fungal, altered fungal community structures, and increased Candida albicans abundance. Moreover, Candida albicans promoted M1 macrophage polarization, leading to islet inflammation. COS inhibited Candida albicans growth, suppressed the MyD88-NF-κB pathway, activated STAT6, inhibited M1, and promoted M2 macrophage polarization. Furthermore, COS-treated HMA-T2D mice displayed lower M1 macrophage differentiation and higher M2 macrophage numbers. Additionally, COS also enhanced ZO-1 and Occludin mRNA expression, reduced Candida albicans abundance, and balanced gut microecology. This study illustrated that COS modulated macrophage polarization via the MyD88/NF-κB and STAT6 pathways, repaired the intestinal barrier, and reduced Candida albicans abundance to alleviate islet inflammation.

Ultra-rapid, quantitative, label-free antibiotic susceptibility testing via optically detected purine metabolites

In order to facilitate the best antimicrobial prescribing practices and to help reduce the increasing global threat of antibiotic resistance, there is an urgent need for the development of novel and truly rapid (≤1 h) antibiotic susceptibility testing (AST) platforms. A 785 nm surface enhanced Raman spectroscopy (SERS) based phenotypic methodology is described that results in accurate minimum inhibitory concentration (MIC) determinations for all tested strain/antibiotic pairs. The SERS-AST procedure results in accurate MICs in ∼1 h, including a 30-min incubation period, and is effective for both Gram positive and negative species, and for antibiotics with different initial primary targets of antibiotic activity, and for both bactericidal and bacteriostatic antibiotics. The molecular level mechanism of this methodology is described. Bacterial SERS spectra are due to secreted purine nucleotide degradation products (principally adenine, guanine, xanthine and hypoxanthine) resulting from water washing induced bacterial stringent response and the resulting (p)ppGpp alarmone mediates nucleobase formation from unneeded tRNA and rRNA. The rewiring of metabolic responses resulting from the secondary metabolic effects of antibiotic exposure during the 30-min incubation period accounts for the dose dependence of the SERS spectral intensities which are used to accurately yield the MIC. This is the fastest demonstrated AST method yielding MICs.

Mucus-penetrating nanomotor system strengthens mucosal immune response to in situ bacterial vaccine against severe bacterial pneumonia

Pathogens causing major infectious diseases primarily invade through mucosal tissues. Promptly killing these pathogens at the mucosal site and constructing mucosal vaccines in situ can prevent further infections and induce robust mucosal immune responses and memory to prevent reinfection. In this study, we utilized chemotherapy, sonodynamic therapy, and gas therapy to eliminate Streptococcus pneumoniae (S. pneumoniae) colonizing the nasal mucosa. Simultaneously, an in situ pneumococcal vaccine was constructed to elicit specific immune responses and memory. Poly-l-arginine (PArg)-modified ZIF-8 metal-organic frameworks (MOFs) loaded with the ultrasonic sensitizer protoporphyrin IX (PpIX) killed S. pneumoniae in the nasal cavity by multiple mechanisms in the presence of ultrasound. When stimulated by ultrasound, PpIX not only generates reactive oxygen species (ROS) for antimicrobial effect, but these ROS also catalyze the release of nitric oxide (NO) from PArg. NO exerts a motor-like effect that facilitates more efficient passage of nanoparticles through the mucus layer of the alveoli. The immunogenic bacterial debris formed a vaccine formulation by complexing with PArg, which adhered electrostatically to the mucosal surface, facilitating in situ vaccination and inducing mucosal immune responses and memory. This cascade-based combination therapy enabled rapid bacterial eradication and long-term immune prevention. It shortens the traditional vaccine development process, eliminates the spatial distance from pathogen invasion to vaccine development, significantly cuts costs, and addresses vaccine failure due to pathogen mutations. This approach offers a groundbreaking strategy for mucosal vaccine development and the prevention of major infectious diseases.

Diabetic peripheral neuropathy and neuromodulation techniques: a systematic review of progress and prospects

Neuromodulation for diabetic peripheral neuropathy represents a significant area of interest in the management of chronic pain associated with this condition. Diabetic peripheral neuropathy, a common complication of diabetes, is characterized by nerve damage due to high blood sugar levels that lead to symptoms, such as pain, tingling, and numbness, primarily in the hands and feet. The aim of this systematic review was to evaluate the efficacy of neuromodulatory techniques as potential therapeutic interventions for patients with diabetic peripheral neuropathy, while also examining recent developments in this domain. The investigation encompassed an array of neuromodulation methods, including frequency rhythmic electrical modulated systems, dorsal root ganglion stimulation, and spinal cord stimulation. This systematic review suggests that neuromodulatory techniques may be useful in the treatment of diabetic peripheral neuropathy. Understanding the advantages of these treatments will enable physicians and other healthcare providers to offer additional options for patients with symptoms refractory to standard pharmacologic treatments. Through these efforts, we may improve quality of life and increase functional capacity in patients suffering from complications related to diabetic neuropathy.

Interconnections between diabetic corneal neuropathy and diabetic retinopathy: diagnostic and therapeutic implications

Diabetic corneal neuropathy and diabetic retinopathy are ocular complications occurring in the context of diabetes mellitus. Diabetic corneal neuropathy refers to the progressive damage of corneal nerves. Diabetic retinopathy has traditionally been considered as damage to the retinal microvasculature. However, growing evidence suggests that diabetic retinopathy is a complex neurovascular disorder resulting from dysfunction of the neurovascular unit, which includes both the retinal vascular structures and neural tissues. Diabetic retinopathy is one of the leading causes of blindness and is frequently screened for as part of diabetic ocular screening. However, diabetic corneal neuropathy is commonly overlooked and underdiagnosed, leading to severe ocular surface impairment. Several studies have found that these two conditions tend to occur together, and they share similarities in their pathogenesis pathways, being triggered by a status of chronic hyperglycemia. This review aims to discuss the interconnection between diabetic corneal neuropathy and diabetic retinopathy, whether diabetic corneal neuropathy precedes diabetic retinopathy, as well as the relation between the stage of diabetic retinopathy and the severity of corneal neuropathy. We also endeavor to explore the relevance of a corneal screening in diabetic eyes and the possibility of using corneal nerve measurements to monitor the progression of diabetic retinopathy.

Tumor microenvironment pH-responsive size-transformable peptide self-assembling nanocarriers for tumor-specific treatment

Peptide-based drug carriers with exceptional biodegradability offer promising avenues for tumor-targeted therapy. Nonetheless, almost all existing drug carriers harness receptor recognition to target tumors, which ultimately fall short in addressing tumor heterogeneity. Such a strategy requires intricate chemical modifications for carriers to selectively bind to specific receptors. While these modifications may induce long-term toxicity, tumor receptors are not absolutely specific but also exist in normal cells. Thus, precision therapeutic agents may inadvertently harm healthy cells as well. Tumors possess a distinctive weak acidic (pH 6.0-6.8) tumor microenvironment (TME) that contrasts with normal tissues (pH ~7.4). Hence, we developed a TME pH-triggered multilevel self-assembling peptide with simple modifications. The drug-encapsulating self-assembled peptide is size transformable from aggregates (~1.56 μm) at pH 7.4 to positively charged nanomicelles (~100 nm) at an acidic TME by protonation, which avoids being taken up by normal cells but could readily enter tumor cells, allowing TME pH-triggered tumor-specific therapy. This study establishes a breaking strategy of using peptide for TME-based tumor-specific treatment and advances the medical applications of peptide nanomaterials.

Development and validation of a convenient dementia risk prediction tool for diabetic population: A large and longitudinal machine learning cohort study

BACKGROUND

Diabetes mellitus has been shown to increase the risk of dementia, with diabetic patients demonstrating twice the dementia incidence rate of non-diabetic populations. We aimed to develop and validate a novel machine learning-based dementia risk prediction tool specifically tailored for diabetic population.

METHODS

Using a prospective from 42,881 diabetic individuals in the UK Biobank, a rigorous multi-stage selection framework was implemented to optimize feature-outcome associations from 190 variables, and 32 predictors were final retained. Subsequently, eight data analysis strategies were used to develop and validate the dementia risk prediction model. Model performance was assessed using area under the curve (AUC) metrics.

RESULTS

During a median follow-up of 9.60 years, 1337 incident dementia cases were identified among diabetic population. The Adaboost classifier demonstrated robust performance across different predictor sets: full model with 32 predictors versus streamlined simplified model with 13 predictors selected through forward feature subset selection algorithm (AUC: 0.805 ± 0.005 vs. 0.801 ± 0.005; p = 0.200) in model development employing an 8:2 data split (5-fold cross-validation for training). To facilitate community generalization and clinical applicability, the simplified model, named DRP-Diabetes, was deployed to a visual interactive web application for individualized dementia risk assessment.

LIMITATIONS

Some variables were based on self-reported.

CONCLUSIONS

A convenient and reliable dementia risk prediction tool was developed and validated for diabetic population, which could help individuals identify their potential risk profile and provide guidance on precise and timely actions to promote dementia delay or prevention.

Depressive disorders attributable to childhood sexual abuse and bullying victimization: Temporal trends and socio-demographic inequalities

BACKGROUND

Childhood sexual abuse and bullying victimization are critical risk factors for depressive disorders, contributing significantly to the global health burden. This study evaluates the global, regional, and national burden of depressive disorders attributable to these factors from 1990 to 2021, focusing on trends, age and sex disparities, and socio-demographic inequalities.

METHODS

Using Global Burden of Disease 2021 data from 204 countries, we measured the burden in disability-adjusted life years (DALYs) with 95 % uncertainty intervals (UI). Temporal trends were assessed via estimated annual percentage change (EAPC), with COVID-19-related changes represented by percentage change. Socio-demographic influences were examined using the Socio-demographic Index and inequality indices. Future trends were forecasted using Bayesian models.

RESULTS

The global age-standardized DALYs rate (ASDR) for depressive disorders attributable to childhood sexual abuse was 18.08 (95 % UI: 8.75-30.97) per 100,000 population, while bullying victimization accounted for 44.32 (95 % UI: 18.72-83.89). From 1990 to 2021, the burden linked to childhood sexual abuse decreased, whereas bullying victimization steadily increased. Females experienced a higher burden from childhood sexual abuse, while bullying-related depressive disorders peaked in males aged 15-24. In 2021, depressive disorders attributable to childhood sexual abuse displayed negative slope index of inequality values (-14.42, 95 % confidence intervals: -19.04 to -9.80). By 2035, ASDRs for both factors are projected to increase by 37-50 %.

CONCLUSIONS

This study highlights the substantial burden of depressive disorders due to childhood trauma, emphasizing the need for tailored interventions, equitable mental health care, and global collaboration to address these challenges.

Imide-based enones: A new scaffold that inhibits biofilm formation in Gram-negative pathogens

We prepared a series of enones containing different substituents as potential antibiofilm molecules. The design considered the structural features previously found in N-acylhomoserine lactones, but it replaced the labile furanone with different imides portions. After evaluation, some of the analogs inhibited 50 % or more the formation of the biofilm from P. aeruginosa or A. baumannii; moreover, substituents attached at the phenyl ring, the size of the enone as well as the type of imide seemed relevant for the selectivity against the tested pathogens. In the end, we performed a molecular docking study using the crystallized LasR to describe the main interactions of the ligand-receptor complex and propose a plausible mechanism of action.

Biomarkers of aging: from molecules and surrogates to physiology and function

Many countries face an unprecedented challenge in aging demographics. This has led to an exponential growth in research on aging, which, coupled to a massive financial influx of funding in the private and public sectors, has resulted in seminal insights into the underpinnings of this biological process. However, critical validation in humans has been hampered by the limited translatability of results obtained in model organisms, additionally confined by the need for extremely time-consuming clinical studies in the ostensible absence of robust biomarkers that would allow monitoring in shorter time frames. In the future, molecular parameters might hold great promise in this regard. In contrast, biomarkers centered on function, resilience, and frailty are available at the present time, with proven predictive value for morbidity and mortality. In this review, the current knowledge of molecular and physiological aspects of human aging, potential antiaging strategies, and the basis, evidence, and potential application of physiological biomarkers in human aging are discussed.

Temporal trends in prevalence for depressive disorders among women of childbearing age: Age-period-cohort analysis 2021

BACKGROUND

Depressive disorders (DD) are significant mood disorders with a notable female preference, especially affecting the well-being of women of childbearing age (WCBA). This population with DD was notably associated with severe complications during the perinatal period, leading to unfavourable maternal mortality and morbidity.

METHODS

This study extracted data from the Global Burden of Disease Study (GBD) 2021. We analysed the number of cases, calculated the age-standardized prevalence rate, and performed the age-period-cohort (APC) model to estimate prevalence trends and age, period, and cohort effects from 1992 to 2021.

RESULTS

From 1992 to 2021, the global number of WCBA with DD surged by 59.46 %, reaching 121 million cases up to 2021. India, China, and the USA had over 40 million prevalence cases, accounting for 36.17 % of global prevalence. The global net drift of DD prevalence among WCBA was -0.13 % per year (95 % CI: -0.17 % to -0.09 %). Age effects demonstrated similar patterns that the prevalence risk rose with age. All SDI regions showed unfavourable prevalence risks surging in the period of 2017-2021. The cohort risk of prevalence increased globally in younger generations after the 1987-1996 cohort.

CONCLUSION

Although the overall temporal trend (net drift) presented a downward trend in DD prevalence among WCBA over the past three decades, the prevalence cases had continued to rise with unfavourable period and cohort effects. Since COVID-19 triggered a massive increase in the prevalence of depressive disorders worldwide, there is an urgent need for stakeholders and policy makers to strengthen mental health-care systems.

Rhein alleviates diabetic cardiomyopathy by inhibiting mitochondrial dynamics disorder, apoptosis and hypertrophy in cardiomyocytes

BACKGROUND

Diabetic cardiomyopathy (DCM) is a significant cardiovascular complication in diabetic patients, and treatment regimens are limited. Rhein, a compound extracted from the herb rhubarb, was investigated in this study for its efficacy on DCM and the potential mechanism.

METHODS

Streptozotocin-induced DCM mice, high-glucose (HG)-treated neonatal rat cardiomyocytes (NRCMs), and H9c2 cells with ClpP knockdown were used for the study. We performed phenotypic and molecular mechanistic studies using immunoblotting, quantitative polymerase chain reaction, transmission electron microscopy, cardiac echocardiography, and histopathological analysis.

RESULTS

Rhein improved the cardiac function and myocardial fibrosis, and decreased the cross-sectional area of cardiomyocytes in the DCM mice. It also improved mitochondrial dynamic disorder as evidenced by a decreased ratio of mitochondrial fission-related proteins p-Drp1S616/ Drp1 and increased expression of mitochondrial fusion proteins (Opa1, Mfn1 and Mfn2). Rhein mitigated apoptosis as indicated by decreased apoptosis-related proteins (caspase 9, cleaved-caspase 3 and Bax) and increased anti-apoptosis protein Bcl2 in the heart tissue of DCM mice. Upregulations of cardiac hypertrophy associated genes (ANP, BNP and β-MHC) were significantly inhibited by Rhein treatment. In addition, the level of ClpP, a mitochondrial protease, was increased in DCM, but was normalized by Rhein treatment. However, ClpP knockdown exacerbated cardiomyocyte injury in the presence or absence of HG in H9c2 cells, indicating that a normal level of ClpP is essential for cardiomyocytes to survive.

CONCLUSIONS

Our results suggest that Rhein protects DCM by ameliorating mitochondrial dynamics disorder, inhibiting cardiomyocyte apoptosis, and myocardial hypertrophy. These protective effects of Rhein may be mediated by preventing ClpP upregulation.

Epidemiological Dynamics of Burden and Health Inequalities in Metabolic Dysfunction-associated Steatotic Liver Disease in Adolescents at Global, Regional, and National Levels, 1990-2021

Background

Metabolic dysfunction-associated steatotic liver disease (MASLD) has become one of the major causes of chronic liver disease among adolescents. However, epidemiological studies on MASLD in adolescents are still insufficient. In this study, we aim to investigate the global burden and the trend of MASLD in adolescents from 1990 to 2021.

Methods

The age-standardized incidence, prevalence, mortality, and disability-adjusted life years (DALYs) of MASLD were calculated based on the Global Burden of Disease (GBD) 2021 study and stratified by sex, socio-demographic index (SDI), GBD regions, and countries. The temporal trends were examined using the average annual percentage change (AAPC) and joinpoint regression.

Results

From 1990 to 2021, the global trends of age-standardized incidence rate (ASIR) and age-standardized prevalence rate (ASPR) of MASLD show notable increase, and the male is significantly higher than the female in adolescents. According to the incidence and prevalence, nations with low SDI confront a higher burden of MASLD. Besides, the inequality of incidence and prevalence between different SDI regions have shrunk in 2021, but the inequality of DALYs and mortality are still exacerbated. Decomposition analysis revealed that population growth and epidemiological changes were the main reasons for the increase in the incidence of MASLD.

Conclusion

From 1990 to 2021, there is a significant upward trend in the incidence of MASLD among adolescents worldwide. Of particular note are male adolescents, East Asian regions, and groups living in high SDI countries.

A glycopeptide-based pH-responsive hydrogel promotes diabetic wound healing via antimicrobial and remodeling microenvironment

Treating bacterium-infected diabetic wounds remains a major medical challenge. Antimicrobial activity, remodeling of oxidative stress-heavy and angiogenesis-impaired microenvironments are critical factors for effective wound healing. Hydrogels can function as drug delivery systems that encompass all these capabilities to enhance wound healing. In this study, we developed a glycopeptide-based hydrogel (DA/bF@OD-PL) composed of oxidized dextran (OD), polylysine (PL), dopamine (DA), and basic fibroblast growth factor (bF). This hydrogel exhibits excellent structural integrity, injectability, adhesion properties, swelling capacity, and degradability. Notably, the hydrogel is responsive to acidic conditions due to the presence of Schiff base bonds, enabling it to respond to the acidic environment characteristic of bacterium-infected wounds and release its encapsulated drugs accordingly. Among these components, PL has a strong antibacterial effect and can easily kill S. aureus and E. coli. DA effectively scavenges multiple reactive oxygen species (ROS) and induces macrophage polarization to M2 macrophages to alleviate oxidative stress. bF upregulates the expression of CD31 and vascular endothelial growth factor (VEGF) to promote angiogenesis. Finally, we validated the ability of this hydrogel to promote rapid wound healing in an S. aureus-infected diabetic mouse wound model.

Phytochemical and biological studies on rare and endangered plants endemic to China. Part XLIV. Integrated NMR/EI-MS/LC-PDA-ESIMS approach for dereplication and targeted isolation of fortunefuroic acids from Keteleeria fortunei across diverse geographical origins

Secondary metabolites in plants of the same species, though originating from distinct geographical regions, frequently display both similarities and notable variations. A prior study on the vulnerable Chinese endemic conifer Keteleeria fortunei, collected from Yunnan province (KFYN), led to the isolation of fortunefuroic acids (FFAs) A-I. These compounds represent a unique class of triterpenoids characterized by a rare furoic acid moiety within the lateral chain. The distinct 23,27-epoxy-23,25(27)-dien-26-oic acid unit present in FFAs can be readily identified by characteristic proton NMR signals (δH-24: ca 6.36 ppm; δH-27: ca 7.97 ppm), a prominent ion fragment at m/z 125 in the EI-MS, and typical UV absorption peak around λmax 245 nm. In this study, an integrated approach was employed to dereplicate and isolate FFA-type compounds from K. fortunei collected from Fujian Province (KFFJ). This approach combined NMR, EI-MS, and LC-PDA-ESIMS data to detect and analyze compounds with molecular weights in the range of 464-468 Da, a distinguishing feature of FFA-type compounds. Consequently, six previously undescribed FFAs K-P (1-6) were obtained, alongside the re-isolation of FFAs A-D and H. Compound 1 exhibits a rare 17,14-friedo-cyclaorane type skeleton, while compound 2 is characterized as a 3,4-seco-cyclaorane-3,26-dioic acid. Compounds 3-6 are identified as derivatives of 9βH-lanost-26-oic FFAs. Additionally, a previously unreported lanost-26-oic acid derivative (7) was also identified, exhibiting an inhibitory effect on ATP-citrate lyase. Their chemical structures and absolute configurations were determined through spectroscopic analysis, GIAO NMR calculations combined with DP4+ probability analyses, and electronic circular dichroism calculations. The isolated FFAs have the potential to serve as chemotaxonomic markers for the genus Keteleeria within the Pinaceae family. This study marks the first application of integrated NMR/EI-MS/LC-PDA-ESIMS methods for both dereplication and the discovery of new natural products. Notably, the KFFJ samples were collected from a location approximately 1500 km away from that of KFYN. Understanding the impact of geographical origins on specialized metabolites may provide valuable insights into the sustainable utilization and conservation of endangered plant species.

Association between inequalities in mental health resources and burdens of mental health disorders in 146 countries and territories: An observational study

BACKGROUND

Mental health disorders impose a substantial social and economic burden. We conducted a comprehensive assessment of global mental health resource allocation and the associated burdens of mental health disorders, examining the relationship between these two factors.

METHODS

We utilized data from the WHO Global Health Observatory and GBD 2021 to encompass 146 countries. We employed spatial autocorrelation analysis and Lorenz curves to characterize the spatial distribution. Additionally, we examined the association between mental health resources and the burdens of mental disorders using a generalized linear regression model (GLM).

RESULTS

Countries and territories with higher income levels were more likely to have greater mental health resources (p < 0.05). Globally, the average mental health resource allocation index (IMRA) was 18.14, and Moran's I was 0.509 (p < 0.001). The Lorenz curve of mental health resources lay below the equality line, suggesting that these resources were more concentrated in countries and territories with higher HDI values. Between 2011 and 2021, the age-standardized incidence rate of all mental health disorders increased significantly (EAPC: 1.41 %, 95 % CI: 0.40 % to 2.53 %, p = 0.011). In multivariable GLM, a negative association was observed between the Index of IMRA and total mental health incidence.

CONCLUSION

Inequalities in mental health resources persist, and the burdens of mental disorders are increasing globally. Our findings underscore the critical need to reduce the overall burden of mental health disorders through enhanced allocation of prevention-oriented resources. Countries at different levels of human development face distinct challenges and priorities in mental health resource allocation.

The burden and trends of depressive disorders in adolescent and young adults aged 15-29 in China, 1990-2021 and its prediction to 2030: Findings from the Global Burden of Disease Study 2021

BACKGROUND

Depressive disorders (DDs) are the leading causes of disability among adolescents and young adults (AYAs) in China. This study estimated the trends of DDs burden among AYAs in China over the last 32 years, and further predicted to 2030.

METHODS

Based on the Global Burden of Disease Study 2021, age-standardized incidence, prevalence, and years lived with disability (YLDs) rates were used to describe the DDs burden among AYAs (aged 15-29 years) in China. Estimated annual percentage changes were used to describe the temporal trends from 1990 to 2021. Bayesian age-period-cohort model was used to predict the future burden to 2030.

RESULTS

In 2021, the age-standardized incidence, prevalence, and YLDs rates (per 100,000) for DDs among AYAs in China were 1884.11 (95 % confidence interval [CI]: 1383.84, 2540.68), 1951.57 (95 % CI: 1527.28, 2459.70), and 323.36 (95 % CI: 208.27, 474.88), respectively. The burden was heavier in females and individuals aged 25-29. From 1990 to 2021, all groups showed a downward trend of DDs burden. Males showed an increase in DDs burden (mainly dysthymia) in most groups in 2019-2021, while the increases in DDs burden among females were mainly in 2010-2019. The main attributable risk factor was bullying victimization. Notably, although the DDs burden was predicted to decrease from 2022 to 2030, the dysthymia burden was predicted to increase.

CONCLUSIONS

The DDs burden among AYAs is a significant public health challenge in China. It is crucial to consider the disparities among different demographic characteristics, when formulating and implementing prevention strategies.

Sepsis in liver failure patients: Diagnostic challenges and recent advancements

Acute liver failure (ALF) and acute-on-chronic LF (ACLF) are prevalent hepatic emergencies characterized by an increased susceptibility to bacterial infections (BI), despite significant systemic inflammation. Literature indicates that 30%–80% of ALF patients and 55%–81% of ACLF patients develop BI, attributed to immunological dysregulation. Bacterial sepsis in these patients is associated with adverse clinical outcomes, including prolonged hospitalization and increased mortality. Early detection of bacterial sepsis is critical; however, distinguishing between sterile systemic inflammation and sepsis poses a significant challenge due to the overlapping clinical presentations of LF and sepsis. Conventional sepsis biomarkers, such as procalcitonin and C-reactive protein, have shown limited utility in LF patients due to inconsistent results. In contrast, novel biomarkers like presepsin and sTREM-1 have demonstrated promising discriminatory performance in this population, pending further validation. Moreover, emerging research highlights the potential of machine learning-based approaches to enhance sepsis detection and characterization. Although preliminary findings are encouraging, further studies are necessary to validate these results across diverse patient cohorts, including those with LF. This article provides a comprehensive review of the magnitude, impact, and diagnostic challenges associated with BI in LF patients, focusing on novel advancements in early sepsis detection and characterization.

Removal of antibiotic resistance from wastewater in aquatic ecosystems dominated by submerged macrophytes

Submerged macrophytes in constructed wetlands (CWs) can effectively improve wastewater quality. However, the effectiveness of different submerged macrophytes in removing antibiotic-resistant genes (ARGs) from wastewater remains unexplored. Additionally, wastewater loading in wetlands can fluctuate due to climate change, potentially affecting ARG removal efficiency. In this study, we systematically constructed microscale wetlands using three submerged plants: Vallisneria natans (VN), Sagittaria pygmaea (SP), and Myriophyllum spicatum (MS). Their effectiveness in ARGs removal was analyzed at hydraulic retention times (HRTs) of 0, 3, 6, and 9 days under high (HWL) and low (LWL) wastewater loading. The results indicated that under LWL conditions, all ecosystems exhibited a higher reduction rate of ARG diversity and relative abundance (RS) compared to HWL conditions. The efficiency of all ecosystems in reducing ARG diversity and abundance followed the order: MS > VN > SP. The sul resistance gene exhibited the highest RS and was degraded most rapidly in all samples. Additionally, sulfadimidine concentrations significantly decreased under LWL conditions, which was significantly correlated with sul reduction. Chemical oxygen demand, total phosphorus, total nitrogen, ammonium nitrogen, and nitrate nitrogen were identified as key factors influencing bacterial and ARG profiles. The increase in rhizobial bacteria and decrease in aerobic denitrifying bacteria likely contributed significantly to ARGs removal. This study offers new insights into ARG removal by submerged macrophytes in CWs, emphasizing the role of wastewater loading and the potential of MS in enhancing ARG degradation. These findings enhance CW design and management to mitigate ARG contamination in wastewater.

Design, synthesis and biological evaluation of 2-arylbenzo[b]furan-4-vinylcarbonyl derivatives based on Salvianolic acid C as antioxidant neuroprotective agents for the treatment of ischemic stroke

Ischemic stroke is a globally recognized disease characterized by high mortality and disability rates, with limited clinical treatment options available. The development of neuroprotective agents with antioxidant properties continues to be a focal point of current research. In this study, we designed and synthesized 42 derivatives using α, β-unsaturated carbonyl and 2-arylbenzo[b]furan in Salvianolic acid C as the core skeleton, and evaluated their biological activities. Among these, compound 6p demonstrated notable antioxidant neuroprotective activity and low cytotoxicity. Furthermore, it exhibited the most potent cell protective activity and ROS scavenging capacity in t-BHP-induced PC12 cells. In a rat model of ischemia-reperfusion injury, 6p was found to reduce ROS levels and neuronal apoptosis in brain tissue, enhance neurological function, and decrease the size of cerebral infarction in rats. Additionally, 6p promotes the nuclear translocation of NRF2 and elevates the expression of the antioxidant protein HO-1. Molecular docking results indicated that 6p can bind to key sites within KEAP1 complex. In conclusion, these findings suggest that compound 6p serves as a potential neuroprotective agent for the treatment of ischemic stroke.

Chemical composition, in vitro and in silico activity of the methanolic extract derived from Vassobia breviflora against clinically relevant bacteria

This study aimed to identify chemical compounds derived from Vassobia breviflora methanolic extract using ESI-ToF-MS and their antioxidant potential activity utilizing the following methods: total phenols, DPPH, and ABTS•+. The MTT assay measured cytotoxic activity, while DCFH-DA and nitric oxide assays were employed to determine reactive oxygen species (ROS) and reactive nitrogen species (RNS) levels using African green monkey kidney (VERO) and human keratinocyte (HaCat) cell lines. The minimal inhibitory concentration (MIC) and minimal bactericidal concentration (MBC) were assessed in seven clinical isolates and nine ATCC strains. Biofilm inhibition was tested against four biofilm-forming strains. The antioxidant properties of the methanolic extract were identified as follows: 35.74 mg GAE/g (gallic acid equivalents)/g for total phenols, 10.5 µg/ml for DPPH, and 50.68 µmol trolox/µg for ABTS•+. The mean inhibitory concentration (IC50) values were 622.86 µg/ml (VERO) and 784.33 µg/ml (HaCat). These concentrations did not markedly alter levels of ROS and RNS. Conversely, Bacillus cereus β-hemolytic displayed higher sensitivity to the extract, with MIC of 64 µg/ml and MBC of 128 µg/ml. Enterococcus faecium exhibited the lowest biofilm formation among the tested bacteria. The studied plant exhibited activity against all bacterial strains at concentrations lower than the IC50 VERO and HaCat cells, suggesting potential for future studies. Data present a comprehensive molecular docking analysis against the HlyIIR protein (PDB ID: 2FX0) and determined antimicrobial and endocrine-modulating potentials. Notably, lancifodilactone I and nicandrin B demonstrated the strongest binding affinities, with binding energies of -9.8 kcal/mol and -8.3 kcal/mol, respectively, and demonstrated significant antimicrobial effects against B. cereus. In addition, several compounds showed potential interactions with nuclear receptors, indicating potential endocrine-modulating effects. These findings provide insights into developing target-specific antimicrobial therapies and endocrine-modulating agents.

Unveiling the relationship between heat-resistant structure characteristics and inhibitory activity in colored highland barley proteinaceous α-amylase inhibitors

Natural α-amylase inhibitors (α-AIs) serve as food processing additives, capable of mitigating postprandial blood glucose levels, but heat resistance limits their application in high-temperature processing. This study delved into the correlation between protein structural characteristics and heat-resistance of colored highland barley (CHB) α-AIs and evaluated the inhibitory activity during chemical modification and in vitro digestion. Results demonstrated that CHB α-AIs were glycoproteins, the inhibitory activity retention rate of black highland barley α-AI salted-out with 0-60 % (NH4)2SO4 (BK1 α-AI) was 56.23 % ± 0.64 %. The protein structure analysis revealed that the preservation of three-dimensional structure was attributed to hydrogen bonds and hydrophobic interactions, and disulfide bonds played a crucial role in maintaining protein folding and activity. Succinylation increased the content of disulfide bonds after heating, and the inhibitory activity retention rate of α-AI noodles increased from 37.72 % ± 2.49 % to 42.79 % ± 0.39 %. These findings provide a theoretical foundation for the application of α-AI in thermally processed foods.

Pollution by antimicrobials and antibiotic resistance genes in East Africa: Occurrence, sources, and potential environmental implications

The escalating burden of antimicrobial pollution in East Africa poses severe threats to public health, environmental integrity, and economic stability. Environmental compartments such as soil and water serve as reservoirs for these pollutants such as antimicrobials and antibiotic resistance genes, creating selective pressure that accelerates the emergence of antimicrobial resistance (AMR). These dynamic fosters the proliferation of multidrug-resistant pathogens, or "superbugs," complicating infection management and amplifying health risks in a region already challenged by inadequate healthcare and sanitation infrastructure. Furthermore, pollution by antimicrobials and antibiotic resistance genes critically disrupts ecological processes, such as nutrient cycling and organic matter degradation, diminishing soil fertility, water quality, and agricultural productivity, thereby threatening food security and overall ecological health. Current surveillance efforts, including the Global Antimicrobial Resistance and Use Surveillance System (GLASS) and the East Africa Public Health Laboratory Networking Project (EAPHLNP), have made strides in tracking AMR trends and guiding policy decisions. However, these efforts remain insufficient to address the growing crisis. This study highlights the urgent need for integrated strategies, including stringent antibiotic usage regulations, advanced wastewater treatment technologies, and comprehensive environmental surveillance. Therefore, there is a need to address the intersections of health, agriculture, and environment, to mitigate AMR and its far-reaching consequences to ensure public health safety and sustainability.

Leveraging artificial intelligence chatbots for anemia prevention: A comparative study of ChatGPT-3.5, copilot, and Gemini outputs against Google Search results

Aim

This study evaluated the understandability, actionability, and readability of text on anemia generated by artificial intelligence (AI) chatbots.

Methods

This cross-sectional study compared texts generated by ChatGPT-3.5, Microsoft Copilot, and Google Gemini at three levels: "normal," "6th grade," and "PEMAT-P version." Additionally, texts retrieved from the top eight Google Search results for relevant keywords were included for comparison. All texts were written in Japanese. The Japanese version of the PEMAT-P was used to assess understandability and actionability, while jReadability was used for readability. A systematic comparison was conducted to identify the strengths and weaknesses of each source.

Results

Texts generated by Gemini at the 6th-grade level (n = 26, 86.7 %) and PEMAT-P version (n = 27, 90.0 %), as well as ChatGPT-3.5 at the normal level (n = 21, 80.8 %), achieved significantly higher scores (≥70 %) for understandability and actionability compared to Google Search results (n = 17, 25.4 %, p < 0.001). For readability, Copilot and Gemini texts demonstrated significantly higher percentages of "very readable" to "somewhat difficult" levels than texts retrieved from Google Search (p = 0.000-0.007).

Innovation

This study is the first to objectively and quantitatively evaluate the understandability and actionability of educational materials on anemia prevention. By utilizing PEMAT-P and jReadability, the study demonstrated the superiority of Gemini in terms of understandability and readability through measurable data. This innovative approach highlights the potential of AI chatbots as a novel method for providing public health information and addressing health disparities.

Conclusion

AI-generated texts on anemia were found to be more readable and easier to understand than traditional web-based texts, with Gemini demonstrating the highest level of understandability. Moving forward, improvements in prompts will be necessary to enhance the integration of visual elements that encourage actionable responses in AI chatbots.

Update in the molecular mechanism and biomarkers of diabetic retinopathy

Diabetic retinopathy (DR) is a serious complication of diabetes caused by long-term hyperglycemia that leads to microvascular and neuronal damage in the retina. The molecular mechanisms of DR involve oxidative stress, inflammatory responses, neurodegenerative changes, and vascular dysfunction triggered by hyperglycemia. Oxidative stress activates multiple metabolic pathways, such as the polyol, hexosamine, and protein kinase C (PKC) pathways, resulting in the production of, which in turn promote the formation of advanced glycation end products (AGEs). These pathways exacerbate vascular endothelial damage and the release of inflammatory factors, activating inflammatory signaling pathways such as the NF-κB pathway, leading to retinal cell damage and apoptosis. Additionally, DR involves neurodegenerative changes, including the activation of glial cells, neuronal dysfunction, and cell death. Research on the multiomics molecular markers of DR has revealed complex mechanisms at the genetic, epigenetic, and transcriptional levels. Genome-wide association studies (GWASs) have identified multiple genetic loci associated with DR that are involved in metabolic and inflammatory pathways. Noncoding RNAs, such as miRNAs, circRNAs, and lncRNAs, participate in the development of DR by regulating gene expression. Proteomic, metabolomic and lipidomic analyses have revealed specific proteins, metabolites and lipid changes associated with DR, providing potential biomarkers for the early diagnosis and treatment of this disease. This review provides a comprehensive perspective for understanding the molecular network of DR and facilitates the exploration of innovative therapeutic approaches.

A new perspective on the antimicrobial mechanism of linezolid against Staphylococcus aureus revealed by proteomics and metabolomics analysis

Understanding bacterial responses to antimicrobials is crucial for identifying tolerance mechanisms and for developing new therapies. Using mass spectrometry-based metabolomics and proteomics, this study examines the response of Staphylococcus aureus to linezolid (LZD) treatment. Under LZD stress, significant fluctuations were observed in key metabolic pathways such as amino acid biosynthesis and the TCA cycle, alongside a general increase in ribosomal protein complexes. Additionally, LZD disrupted nucleotide metabolism, particularly affecting pyrimidine pathways. Combining LZD with the pyrimidine synthesis inhibitor leflunomide enhanced bactericidal effects both in vitro and in vivo, highlighting the importance of targeting pyrimidine biosynthesis to amplify the antimicrobial efficacy of protein inhibitors. These results underscore downstream metabolic processes as viable targets for synergistic drug combinations, suggesting a strategy to potentially improve the clinical effectiveness of LZD.

Fitness trade-off and the discovery of a novel missense mutation in the PmrB sensor kinase of a colistin-resistant Pseudomonas aeruginosa strain developed by adaptive laboratory evolution

Pseudomonas aeruginosa is a prominent bacterial pathogen that causes several nosocomial infections and is notorious for its environmental resilience and rapid development of resistance to frontline antibiotics. A major cause of mortality and morbidity among cystic fibrosis patients, multidrug-resistant P. aeruginosa is often targeted with the antibiotic colistin as a last option. However, increasing reports of colistin resistance among P. aeruginosa is a significant concern. Though the molecular mechanisms responsible for the development of colistin resistance are well known, the evolutionary trajectory to colistin resistance is an important area of investigation. In this work, using the adaptive laboratory evolution (ALE) approach we have evolved a colistin-sensitive P. aeruginosa ancestral strain to a resistant one. During the process of laboratory evolution in 106 generations, colistin MIC was increased 32-fold. The evolved strain had lower fitness than the ancestral strain, as evidenced by a lower growth rate. Moreover, the evolved strain produced more biofilm and less pyocyanin pigment. Interestingly, the evolved strain showed collateral sensitivity to several antibiotics, including ampicillin, tetracycline, streptomycin, gentamycin, nalidixic acid, trimethoprim, rifampicin, and chloramphenicol. On analysing various TCS modules involved in the development of colistin resistance, a novel missense mutation (V136G) was detected in the PmrB sensor kinase. In silico analysis indicated that the V136G substitution would destabilize the PmrB kinase structure, making the mutation deleterious. However, the functionality of the PmrB mutant remains to be validated experimentally.

Artificial intelligence based predictive tools for identifying type 2 diabetes patients at high risk of treatment Non-adherence: A systematic review

AIMS

Several Artificial Intelligence (AI) based predictive tools have been developed to predict non-adherence among patients with type 2 diabetes (T2D). Hence, this study aimed to describe and evaluate the methodological quality of AI based predictive tools for identifying T2D patients at high risk of treatment non-adherence.

METHODS

A systematic search was conducted across multiple databases including, EMBASE, Cochrane Library, MedLine, and Google Scholar search. The Prediction model Risk Of Bias ASsessment Tool (PROBAST) was used to assess the quality of studies. The performances of tools were assessed by Area Under the Curve (AUC), precision, recall, C-index, accuracy, sensitivity, specificity or F1 score.

RESULTS

Most studies measured predictive ability using AUC (75 %), and some only reported precision (25 %), recall (12.5 %), C-index (12.5 %), accuracy (37.5), sensitivity (12.5 %), specificity (12.5 %) or F1 score (25 %). All tools had moderate to high predictive ability (AUC > 0.70). However, only one study conducted external validation. Demographic characteristics, HbA1c, glucose monitoring data, and treatment details were typical factors used in developing tools.

CONCLUSIONS

The existing AI based tools holds significant promise for improving diabetes care. However, future studies should focus on refining the existing tools, validating in other settings, and evaluating the cost-effectiveness of AI-supported interventions.

Ferritin's role in infectious diseases: Exploring pathogenic mechanisms and clinical implications

Ferritin, an iron storage protein, is crucial for maintaining iron metabolism balance throughout the body and serves as a key biomarker for evaluating the body's iron reserves. Reduced ferritin levels typically indicate iron deficiency, whereas elevated ferritin levels indicate an acute inflammatory response in infectious diseases. Recent research has established a significant link between elevated ferritin levels and disease severity and prognosis. The concept of hyperferritinemic syndrome has underscored ferritin's role as a pathogenic mediator. During infections, ferritin not only serves as a biomarker of inflammation but also exerts pro-inflammatory functions, which is a key factor in perpetuating the vicious pathogenic cycle. This review offers a comprehensive exploration of ferritin, covering its structural characteristics, regulatory mechanisms, and how diverse pathogens modulate ferritin. Understanding its pivotal role in infectious diseases is essential for identifying novel therapeutic prospects and enhancing disease management and prevention.