Iranian Journal of Public Health最新文献

Background: Phosphorus metabolism might be associated with tumor initiation and progression. We aimed to screen out the phosphorus metabolism genes related to bladder cancer and construct a clinical prognosis model.

Methods: The dataset used for the analysis was obtained from TCGA database. GO and KEGG enrichment analyses were subsequently applied to differentially expressed genes. Consensus clustering was utilized, and different clusters of the tumor immune microenvironment and other features were compared. The phosphorus metabolism-related genes involved in prognosis were screened out by univariate Cox regression, LASSO regression and multivariate Cox regression analysis, and a nomogram was constructed. The performance of the nomogram was validated using TCGA dataset and the GEO dataset, respectively.

Results: Overall, 405 phosphorus metabolism-related differentially expressed genes from TCGA database were identified, which were associated with phosphorylation, cell proliferation, leukocyte activation, and signaling pathways. Two clusters were obtained by consistent clustering. After tumor immune microenvironment analysis, significant differences in immune cell infiltration between cluster 1 and cluster 2 were found. Four phosphorus metabolism-related genes (LIME1, LRP8, SPDYA, and MST1R) were associated with the prognosis of bladder cancer (BLCA) patients. We built a prognostic model and visualized the model as a nomogram. Calibration curves demonstrated the performance of this nomogram, in agreement with that shown by the ROC curves.

Conclusion: We successfully identified four phosphorus metabolism-related genes associated with prognosis, providing potential targets for biomarkers and therapeutics. A nomogram based on these genes was developed. Nevertheless, this study is based on bioinformatics, and experimental validation remains essential.

Background: Inflammatory bowel disease (IBD) patients who cease anti-tumor necrosis factor (TNF) therapy are at risk of relapse, which is a matter of concern for the medical community. This study aimed to determine the relapse rate of IBD in patients who cease anti- TNF therapy.

Methods: A systematic search of international databases (Medline, Web of Sciences, Scopus, and EMBASE) was conducted until Mar 9th, 2022. The random effects model was used to calculate the IBD relapse rate, accompanied by a 95% confidence interval.

Results: The IBD relapse rate in patients who discontinued anti-TNF therapy was 44%. The pooled IBD-UC and IBD-CD relapse rate in patients who stopped anti-TNF therapy were 43% and 46%, respectively. The studies using infliximab (IFX) showed a pooled IBD relapse rate of 45%, and the IBD relapse rate in the IFX/ADA (Adalimumab) group was 42%. The IBD relapse rate for papers with treatment durations of less than or equal to 12 months was 51%, while for articles with treatment durations of more than 12 months, it was 30%.

Conclusion: This study emphasizes the need for careful evaluation and monitoring of IBD patients who cease anti-TNF therapy, as well as further investigation of alternative treatments for those who exhibit intolerance or inadequate response to anti-TNF therapy.

Background: Advanced maternal age decreased success of pregnancy rate in the assisted reproductive technology (ART) treatment. We aimed to investigate the association between age and miscarriages in women who required ART for conception.

Methods: A cohort study was conducted using a 10-year sample of 14,898 pregnancy cycles with ART treatment in Xi'an, China. The effects of women's age on miscarriage were assessed using Poisson regression models. The threshold effect between age and miscarriage was explored through curve fitting.

Results: Compared with lower than 30 years, the risks of early miscarriage and miscarriage were higher in the older age groups (early miscarriage: [35-37 years: RR=1.48, 95% confidence interval (CI): 1.26 to 1.74; ≥38 years: RR=2.25, 95% CI: 1.87 to 2.72]; miscarriage: [35-37 years: RR=1.45, 95%CI: 1.24 to 1.69; ≥38 years: RR=2.17, 95%CI: 1.82 to 2.60]). The nonlinear relationship between age and early miscarriage and miscarriages were observed. The risk of early miscarriage and miscarriage rapidly increased with age after the turning point (age=33 years) (<33 years: [early miscarriage: RR=1.02, 95% CI: 1.00 to 1.04; miscarriage: RR=1.02, 95% CI: 1.00 to 1.03]; ≥33 years: [early miscarriage: RR=1.11, 95% CI: 1.08 to 1.13; miscarriage: RR=1.10, 95% CI: 1.07 to 1.13]).

Conclusion: Among pregnancy cycles undergoing ART, advanced age is associated with higher risk of early miscarriage and miscarriage, and nonlinear relationship between age and early miscarriage and miscarriage were found. More attention should be paid to the risk of pregnant women with older than 33 years in ART treatment.

Background: We aimed to examine how electroacupuncture and manual acupuncture affect treatment results, pain levels, and joint function in individuals with knee osteoarthritis.

Methods: Research was carried out in various databases including PubMed, Medline, Embase, CENTRAL, and CNKI. Following the "Cochrane manual", the risk of bias of included RCTs was assessed. A funnel plot was utilized to evaluate any potential bias in the publications. The impact size was indicated by the average discrepancy along with its 95% confidence interval.

Results: The EA group showed a higher effectiveness rate (P = 0.001) and a lower WOMAC pain score (P < 0.00001) compared to the control group. The EA group had a lower WOMAC pain score compared to the SA/exercise group and the group that received manual acupuncture. The WOMAC pain score was significantly lower in the EA group compared to the manual acupuncture group under intense electroacupuncture stimulation (P < 0.0001). The WOMAC pain score was significantly lower in the EA group compared to the manual acupuncture group when weak current acupuncture was applied (P = 0.0001). However, no significant difference in WOMAC function score between EA and control group.

Conclusion: Comparison to manual acupuncture, placebo acupuncture, and exercise training, electroacupuncture enhanced the effectiveness of treating KOA and decreased the WOMAC pain score in patients with KOA. The level of pain relief achieved may be linked to the strength of the current stimulation. However, electroacupuncture had no significant effect on WOMAC function score.

Background: Low back pain (LBP) is a prevalent health issue that imposes heavy burdens on personal health status and social healthcare. Dynamic Neuromuscular Stabilization (DNS)/Vojta therapy has demonstrated effectiveness in managing conditions related to musculoskeletal system. However, its effects on individuals with LBP remain incompletely understood. We aimed to evaluate the effects of DNS/Vojta therapy on pain intensity and physical function in individuals with LBP.

Methods: A search of studies was conducted on several academic databases from inception through April 13, 2023. This study included clinical trials that evaluated the effects of DNS/Vojta therapy on the outcomes in individuals with LBP. The methodological quality of studies was assessed using PEDro scale, Cochrane Collaboration tool, and ROBINS-I scale. Meta-analysis was performed using Review Manager software (RevMan version 5.4.1, The Cochrane Collaboration, 2020).

Results: This systematic review and meta-analysis identified twelve eligible studies, which demonstrated that DNS/Vojta therapy significantly alleviated pain intensity (SMD=-1.09; 95%Cl [-1.74, -0.44]; Z=3.28; P=0.001), reduced disability severity (SMD=-0.91; 95%Cl [-1.48, -0.34]; Z=3.12; P=0.002), and improved quality of life (SMD=1.05; 95%CI [0.14, 1.96]; Z=2.27; P=0.02) in individuals with LBP, while no significant improvements were observed in static and dynamic balance ability or spine flexibility.

Conclusion: DNS/Vojta therapy is a promising approach for providing great benefits for individuals with LBP, particularly in terms of reducing pain intensity and disability severity, and improving quality of life, which is worth further in clinical application.

Background: Along with the increasing prevalence of ESRD in developing countries, the use of more up-to-date statistical models is highly recommended. It is crucial to control potential cure pattern and heterogenicity among patients.

Methods: In this longitudinal study, the data of 170 hemodialysis patients who visited the dialysis department of Shafa Hospital in Kerman from 2006 to 2016 were collected. To provides robust estimates the time to event data (death) were analyzed with a gamma frailty mixed cure Weibull model (MC-WG) using Bayesian inference.

Results: About 49% of patients experienced the death and median survival time was 37.5 months. Older patients (0.264), female patients (0.269), and patients with higher mean serum urea levels (0.186) had a higher risk of death. Moreover, we observe a decrease in death with increase in Creatine (Cr).

Conclusion: In the MC-WG Bayesian model, the diabetes, AST, calcium, phosphorus and uric acid variables had a significant effect on the survival of hemodialysis patients, while they were not significant in the Cox PH model. The results of MC-WG Bayesian model are more consistent with other studies.

Background: Nowadays, blended learning in medicine (BLM) has gained the attention of most experts as an invaluable approach to improving the quality of medical education. The level of attention to articles in this field on social networks is substantial. This study aimed to study the effectiveness of published articles in blended learning, indexed in Scopus and Web of Science databases between 2013 and 2022, from an altmetrics perspective.

Methods: The research is descriptive-analytical, with a scientometrics approach (using the Altmetrics index). The population includes all the articles on blended learning in medicine, indexed in Scopus and Web of Science databases, two well-known citation databases worldwide. Data were extracted using the Altmetrics bookmarklet tool and analyzed with descriptive statistics methods in Excel software.

Results: Out of 1327 articles, 136 articles (10.25%) did not have a digital object identifier (DOI) or PMID number. Mendeley, X (previously Twitter), and Dimensions were the most widely used social networks in blended learning. The United States, the United Kingdom, and Australia had the highest number of tweets in blended learning in medicine.

Conclusion: The number of articles with altmetrics indicators, categorized by publication year, demonstrates an improvement in the familiarity and use of social media by blended learning researchers in medicine. Blended learning researchers are advised to carefully select reputable journals - preferably with DOI - to increase the visibility and attention to their articles on social media.

Background: We aimed to explore the role of C-X-C motif chemokine ligand 12 (CXCL12) and cytokinecytokine receptor interaction signaling pathway in the radiotherapy and chemotherapy resistance as well as cell stemness in colorectal cancer (CRC).

Methods: Bioinformatics analysis was used to identify the differentially expressed mRNAs and signal pathways closely related to differentially expressed mRNAs have also been analyzed in March 2022 at the Jinhua Central Hospital, China. Then, the expression of CXCL12 was detected by qRT-PCR in colorectal cancer cells and testing the effects of transfecting CXCL12 into different CRC-derived cell lines. The effects of CXCL12 on cell proliferation were evaluated by chemosensitivity assay and radiation sensitivity assay.

Results: Bioinformatics analysis of DEGs found a total of 2429 differentially expressed genes, THBS3 and CXCL12 genes are two abnormally highly expressed genes in the CRC. KEGG analysis showed the correlative signaling pathway, cytokine-cytokine receptor interaction, which is related to cell stemness. Furthermore, the expression of CXCL12 in CRC cells was detected and an increasing trend was obtained in CRC cells. In addition, the chemosensitivity and radiotherapy tolerance were elevated after transfected with CXCL12.

Conclusion: CXCL12 could be a potential promote biomarkers in CRC and also promote the chemosensitivity and radiotherapy tolerance.

Background: Tuberculosis is caused by a bacterium called Mycobacterium tuberculosis, which is a contagious and infectious disease; in the first stage, it destroys the lungs and in the next stage other body organs, such as the spine and long bones. This disease is transmitted through an infected person and due to the weakness of the immune system, the infection intensifies. Tuberculosis has two stages: low activity and high activity. In this article, we have discussed the signs of tuberculosis destruction with high intensity on the bones of prehistory human remains.

Methods: The examples of our research are related to human remains from the ancient cemetery of 4000 years ago from Sagezabad region of Qazvin Province of Iran. That period of history coincides with the Iron Age 2 and 3 in the region. People inside the Sagezabad cemetery were very near to early urban (the late rural) society.

Results: By matching the form of bone destruction with international atlases for tuberculosis, we have reached a satisfactory result in this article. Due to the strong penetration of the infection into the bones, destruction in the remains was high, so it has simplified the diagnosis for us.

Conclusion: We found tuberculosis among the bones. This common ancient disease existed even among Neanderthals.