Mitochondria are the convergence point of multiple pathways that trigger programmed cell death (PCD). Mitochondrial-associated PCD (mtPCD) is involved in the pathogenesis of several diseases. However, the role of mtPCD in the prognostic prediction of cancers including non-small-cell lung cancer (NSCLC) remains to be investigated. Here, 12 mtPCD patterns were analyzed in transcriptomics, genomics, and clinical data collected from 4 datasets containing 977 patients. A risk-score assessment system containing 18 genes was established. We found that NSCLC patients with a high-risk score had a poorer prognosis. A nomogram was constructed by incorporating the risk score with clinical features. The risk score was further associated with clinicopathological information, tumor-mutation frequency, and immunotherapy responses. NSCLC patients with a high risk score had more Treg cells infiltration. However, these patients had higher tumor-mutation burden scores and may be more sensitive to immunotherapy. Moreover, receptor-interacting serine/threonine protein kinase 2 (RIPK2) was selected from mtPCD gene model for validation. We found that RIPK2 exhibited oncogenic function, and its expression level was inversely associated with the overall survival of NSCLC. Taken together, our results indicated the accuracy and practicability of the mtPCD gene model and RIPK2 in predicting the prognosis of NSCLC.
Humans ; Carcinoma, Non-Small-Cell Lung/pathology* ; Lung Neoplasms/pathology* ; Prognosis ; Male ; Female ; Nomograms ; Middle Aged ; Mitochondria/metabolism* ; Apoptosis/genetics* ; Mutation ; Biomarkers, Tumor/genetics* ; Aged

The p60 subunit of the chromatin assembly factor-1 complex, that is, chromatin assembly factor-1 subunit B (CHAF1B), is a histone H3/H4 chaperone crucial for the transcriptional regulation of cell differentiation and self-renewal. CHAF1B is overexpressed in several cancers and may represent a potential target for cancer therapy. However, its expression and clinical significance in lung squamous-cell carcinoma (LUSC) remain unclear. In this study, we performed weighted gene correlation network analysis to analyze the Gene Expression Omnibus GSE68793 LUSC dataset and identified CHAF1B as one of the most important driver gene candidates. Immunohistochemical analysis of 126 LUSC tumor samples and 80 adjacent normal lung tissues showed the marked upregulation of CHAF1B in tumor tissues and the negative association of its expression level with patient survival outcomes. Silencing of CHAF1B suppressed LUSC proliferation in vitro and LUSC tumor growth in vivo. Furthermore, bulk RNA sequencing of CHAF1B knockdown cells indicated SET domain containing 7 (SETD7) as a significant CHAF1B target gene. In addition, CHAF1B competitively binds to the SETD7 promoter region and represses its transcription. Altogether, these results imply that CHAF1B plays a vital role in LUSC tumorigenesis and may represent a potential molecular target for this deadly disease.
Humans ; Lung Neoplasms/metabolism* ; Histone-Lysine N-Methyltransferase/metabolism* ; Carcinoma, Squamous Cell/metabolism* ; Gene Expression Regulation, Neoplastic ; Disease Progression ; Cell Proliferation/genetics* ; Cell Line, Tumor ; Chromatin Assembly Factor-1/metabolism* ; Animals ; Mice ; Male ; Female

Elderly patients are a crucial population for medical treatment and referral.The establishment of standardized and efficient referral channels is essential for enhancing the referral process, improving treatment outcomes for the elderly, and optimizing the allocation of medical resources.Referral network analysis examines the integrity, structure, and dynamics of referrals to infer the characteristics of the network.This can offer insights for enhancing referral policies and elevating medical service standards.While existing research predominantly concentrates on referral networks within the general population, there is a noticeable gap in studies focusing on elderly patients.This review article assesses domestic and international research on networks formed between medical institutions or physicians through patient referrals, aiming to inform and enhance referral policies in our country.

Aging is a physiological process characterized by the gradual decline of the body's functions over time.In recent years, the emergence of molecular hydrogen(H 2)medicine has introduced novel approaches to the field of anti-aging.Numerous animal experiments and clinical trials have demonstrated that H 2 possesses considerable potential to regulate oxidative stress, inflammation, organelle energy metabolism, and programmed cell death, while also offering protective effects on various organs and systems.Currently, H 2 is being utilized in the prevention and treatment of various age-related diseases, thereby opening new avenues for anti-aging interventions.

Acute respiratory distress syndrome(ARDS)is a key disease in the field of clinical critical illness diagnosis and treatment.Its incidence and mortality rate have always remained high.Due to its high heterogeneity of the cause,specific biomarkers are still lacking in clinical diagnosis,and targeted treatment strategies for its core pathological links still have significant limitations.In view of this,the construction of an ARDS risk prediction model based on multi-dimensional risk factors can provide key evidence-based guidance for clinical medical staff to identify high-risk groups at ARDS in the early stage.This paper aims to review the research progress of ARDS risk factors and prediction models,in order to provide new ideas and references in building more accurate prediction models for ARDS.

The corona virus disease 2019(COVID-19)infection has assumed global pandemic status in a short period of time since its outbreak.This public health crisis has inflicted unprecedented damage and challenges to more than 200 countries and regions around the word.As the peak of the epidemic gradually subsides,an increasing amount of attention has been shifted to the issue of long-term sequelae in COVID-19 patients.These sequelae are manifested as the continuous dysfunction of multiple organ systems and are known as Long COVID.In response to this new issue,clinical pathological research has continuously made new progress,posing new requirements and challenges for the pre-vention and treatment of Long COVID.This article aims to review the progress of clinical pathological research on Long COVID in recent years,with the expectation of providing new ideas and methods for the prevention and treatment of this disease.

The corona virus disease 2019(COVID-19)infection has assumed global pandemic status in a short period of time since its outbreak.This public health crisis has inflicted unprecedented damage and challenges to more than 200 countries and regions around the word.As the peak of the epidemic gradually subsides,an increasing amount of attention has been shifted to the issue of long-term sequelae in COVID-19 patients.These sequelae are manifested as the continuous dysfunction of multiple organ systems and are known as Long COVID.In response to this new issue,clinical pathological research has continuously made new progress,posing new requirements and challenges for the pre-vention and treatment of Long COVID.This article aims to review the progress of clinical pathological research on Long COVID in recent years,with the expectation of providing new ideas and methods for the prevention and treatment of this disease.

Elderly patients are a crucial population for medical treatment and referral.The establishment of standardized and efficient referral channels is essential for enhancing the referral process, improving treatment outcomes for the elderly, and optimizing the allocation of medical resources.Referral network analysis examines the integrity, structure, and dynamics of referrals to infer the characteristics of the network.This can offer insights for enhancing referral policies and elevating medical service standards.While existing research predominantly concentrates on referral networks within the general population, there is a noticeable gap in studies focusing on elderly patients.This review article assesses domestic and international research on networks formed between medical institutions or physicians through patient referrals, aiming to inform and enhance referral policies in our country.

Aging is a physiological process characterized by the gradual decline of the body's functions over time.In recent years, the emergence of molecular hydrogen(H 2)medicine has introduced novel approaches to the field of anti-aging.Numerous animal experiments and clinical trials have demonstrated that H 2 possesses considerable potential to regulate oxidative stress, inflammation, organelle energy metabolism, and programmed cell death, while also offering protective effects on various organs and systems.Currently, H 2 is being utilized in the prevention and treatment of various age-related diseases, thereby opening new avenues for anti-aging interventions.

OBJECTIVES: This study investigated the seasonal impact of diurnal temperature range (DTR) on hospitalization rates for intracerebral hemorrhage (ICH) in middle-aged and elderly adults. METHODS: We collected data on the DTR and hospitalization records of ≥45-year-old patients with ICH in 2019 in Hunan Province, central China. Time-series analyses were performed using a distributed lag non-linear model. RESULTS: Overall, 54,690 hospitalizations for ICH were recorded. DTR showed a non-linear relationship with ICH hospitalization in both middle-aged and elderly populations (45-59 and ≥60 years, respectively). During spring, a low DTR coupled with persistently low temperatures increased ICH risk in both age groups, while a high DTR was associated with an increased risk in the middle-aged group only (relative risk [RR], 1.24; 95% confidence interval [CI], 1.21 to 1.27). In the summer, a low DTR combined with persistently high temperatures was linked to a higher risk exclusively in the middle-aged group. A high DTR in the autumn was correlated with increased risk in both age groups. In winter, either a low DTR with a continuously low temperature or a high DTR elevated the risk solely in the elderly population (RR, 1.37; 95% CI, 1.00 to 1.69). In the elderly group, the impact of DTR on hospitalization risk manifested within a 5-day period. CONCLUSIONS The impact of DTR on ICH hospitalization risk differed significantly across seasons and between age groups. Elderly individuals demonstrated greater sensitivity to the impact of DTR. Weather forecasting services should emphasize DTR values, and interventions targeting sensitive populations are needed.