Biomolecules & biomedicine最新文献

{"title":"Predictive value of inflammatory markers in inguinal hernia surgery: General vs. spinal anesthesia.","authors":"Marko Kordić, Davorin Kozomara, Ivanka Mikulić, Vinka Mikulić, Martin Kajić, Miran Boras, Mateo Bevanda, Neven Soldo, Mijo Jović, Vedran Dragišić, Ines Rozić","doi":"10.17305/bb.2025.12262","DOIUrl":"10.17305/bb.2025.12262","url":null,"abstract":"<p><p>Inguinal hernia is a prevalent condition requiring surgical intervention, and accumulating evidence suggests that the type of anesthesia administered may influence systemic inflammatory responses. This study investigates the concentrations of inflammatory parameters in patients with inguinal hernia who underwent surgery utilizing either general or spinal anesthesia. The cohort comprised 87 male patients with inguinal hernia, classified as American Society of Anesthesiologists (ASA) physical status 1-2, who underwent elective surgical procedures. Participants were divided into two groups based on the anesthesia type: 44 received general anesthesia while 43 received spinal anesthesia. Plasma concentrations of leukocytes, C-reactive protein (CRP), interleukin-6 (IL-6), and lipopolysaccharide-binding protein (LBP) were quantified using automated immunoassays and a hematological analyzer. Standard parametric and non-parametric statistical tests were employed for data analysis, and the predictive capacity of select parameters, along with body mass index (BMI) and age, was assessed through Receiver Operating Characteristic (ROC) analysis with Area Under the Curve (AUC). Statistical analysis via the t-test identified significant differences in LBP concentrations (LBP 1, LBP 2, and LBP 3) between patients receiving general and spinal anesthesia. Correlation analysis of BMI and the measured parameters revealed statistically significant positive correlations for LBP 1 and LBP 2 in patients who underwent spinal anesthesia. Notably, the preoperative concentration of LBP, with a cutoff value exceeding 9.7 μg/mL, suggests a potentially superior approach with spinal anesthesia compared to general anesthesia, demonstrating 50% sensitivity and 81.4% specificity. Other parameters did not exhibit statistical significance in differentiating the type of anesthesia used for inguinal hernia surgery.</p>","PeriodicalId":72398,"journal":{"name":"Biomolecules & biomedicine","volume":" ","pages":"2819-2826"},"PeriodicalIF":0.0,"publicationDate":"2025-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12461272/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144735828","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"First-trimester prediction of early-onset preeclampsia using PAPP-A and mean arterial pressure.","authors":"Fatma Beyazıt, Eren Pek, Murat Daş, Mehmet Nuri Duran, Dilek Ülker Çakır, Başak Nil Şen, Hasan Ali Kiraz, Deniz Koçyiğit Yılmaz, Ece Ünal Çetin","doi":"10.17305/bb.2025.12814","DOIUrl":"10.17305/bb.2025.12814","url":null,"abstract":"<p><p>Predicting early-onset preeclampsia (EOP) during the initial stages of pregnancy is essential for effective clinical management and enhancing maternal-fetal outcomes. Current methodologies, which include clinical and demographic risk factors, biophysical parameters, and serum biomarkers, exhibit limited efficacy in predicting EOP. This study aimed to evaluate whether the incorporation of pregnancy-associated plasma protein-A (PAPP-A) and mean arterial pressure (MAP) significantly enhances EOP detection. We conducted a retrospective case-control study involving 518 gravidas, of whom 202 developed EOP and 316 experienced normal pregnancies. Logistic regression models were employed to assess EOP predictions, and the predictive accuracy of these statistical models was evaluated using receiver-operating characteristic curve analysis. Our findings indicate that lower PAPP-A levels, higher MAP, and increased body mass index (BMI) are associated with EOP. Notably, in pregnant women between 11+0 and 13+6 weeks of gestation, a 1-point decrease in PAPP-A corresponds to an 84% increase in the likelihood of developing EOP. The predictive performance of PAPP-A improves significantly when combined with other factors such as BMI, MAP, and a history of diabetes mellitus (DM). The risk of EOP is substantially heightened (20.410 times, 95% CI: 11.104-37.515) in patients exhibiting low PAPP-A levels (<0.88) and high BMI (≥35 kg/m²). Additionally, low PAPP-A combined with elevated MAP levels significantly increases EOP risk (adjusted odds ratio [OR]: 114.83). However, after adjustment, the association between low PAPP-A and a history of DM was not statistically significant (adjusted OR: 2.30, p = 0.202). In conclusion, employing a combination of multiple variables for predicting EOP yields a significant improvement over traditional methods that rely solely on individual factors.</p>","PeriodicalId":72398,"journal":{"name":"Biomolecules & biomedicine","volume":" ","pages":"2801-2809"},"PeriodicalIF":0.0,"publicationDate":"2025-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12461270/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144710029","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Serum NPTX2 and cognitive impairment in geriatric diabetes.","authors":"Kenan Çadırcı, Muharrem Bayrak, Alev Lazoğlu Özkaya, Gamze Nur Yılmaz, Nur Pak, Büşra Karahan, Hilal Kiziltunc Ozmen","doi":"10.17305/bb.2025.12632","DOIUrl":"10.17305/bb.2025.12632","url":null,"abstract":"<p><p>Cognitive impairment is an increasingly common complication of diabetes, yet its underlying pathophysiological mechanisms remain poorly understood. Neuronal pentraxin 2 (NPTX2), a recently identified synaptic biomarker linked to cognitive disorders, has not previously been examined in relation to cognitive function in geriatric individuals with diabetes. This cross-sectional study enrolled 90 participants-46 geriatric patients with diabetes and 44 age-matched non-diabetic controls. Demographic and clinical data were collected for all participants. After informed consent, cognitive function was assessed with the Montreal Cognitive Assessment (MoCA) and the Mini-Mental State Examination (MMSE). Serum NPTX2 levels were measured by ELISA. No significant differences were found between the diabetic and control groups in age, sex, education level, marital status, smoking history, comorbid conditions, or polypharmacy. However, the groups differed significantly in MoCA scores (p < 0.001), MMSE scores (p = 0.028), and NPTX2 levels (p = 0.048); the diabetic group showed lower cognitive scores and biomarker levels. NPTX2 levels correlated positively with MoCA and MMSE scores and negatively with diabetes duration, patient age, and the presence of microvascular complications. In conclusion, cognitive function was significantly lower in geriatric patients with diabetes than in controls, and serum NPTX2 levels were significantly associated with cognitive performance. These findings suggest a possible role for NPTX2 in diabetes-related cognitive decline and support further investigation of its utility within a broader biomarker panel.</p>","PeriodicalId":72398,"journal":{"name":"Biomolecules & biomedicine","volume":" ","pages":"2766-2775"},"PeriodicalIF":0.0,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12461278/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144692574","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Melatonin and omega-3 neuroprotection in prenatal rat spinal cord exposed to 900 MHz electromagnetic field.","authors":"Ömür Gülsüm Deniz, Gamze Altun, Süleyman Kaplan","doi":"10.17305/bb.2025.12633","DOIUrl":"10.17305/bb.2025.12633","url":null,"abstract":"<p><p>The electromagnetic field (EMF) emitted by electronic devices induces pathological changes in tissues, adversely affecting embryonic and pubertal development. This study investigates the effects of melatonin (Mel) and omega-3 fatty acids (ω3) on the spinal cord in rats exposed to EMF, employing stereological methods alongside light and electron microscopic evaluations. Pregnant Wistar albino rats were divided into seven groups: Control (CONT), sham-exposed (SHAM), EMF alone, EMF-Mel, EMF-ω3, Mel only, and ω3 only. The EMF, EMF-Mel, and EMF-ω3 groups were exposed to a 900 MHz EMF for two hours daily during the prenatal period (21 days). Mel and ω3 were administered via intragastric gavage prior to EMF exposure. Upon completion of the experiment (on the 35th day post-birth), spinal cord tissues of all male offspring were dissected and subjected to light and ultrastructural examinations. Stereological analyses calculated grey matter (GM) to total volume ratios, white matter (WM) to total volume ratios, GM to WM volume ratios, total spinal cord volume, and motor neuron counts. No significant differences were observed among the groups regarding GM/WM volume ratios, GM/total volume ratios, WM/total volume ratios, and total spinal cord volume (p > 0.05). However, a significant reduction in motor neuron numbers was noted in the EMF-ω3 group compared to the CONT group (p < 0.01). Light and ultrastructural examinations revealed marked motor neuron degeneration and axonal disruption in the EMF group, which were mitigated in the Mel and ω3-treated groups. These findings indicate that prenatal exposure to 900 MHz EMF exerts detrimental effects on spinal cord tissue and underscore the necessity for further studies exploring varying doses and durations to elucidate the potential effects of ω3 and Mel.</p>","PeriodicalId":72398,"journal":{"name":"Biomolecules & biomedicine","volume":" ","pages":"2789-2800"},"PeriodicalIF":0.0,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12461266/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144692563","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The role of reviewers in the era of systematic reviews and meta-analysis: A practical guide for researchers.","authors":"Emir Begagić, Faruk Skenderi, Semir Vranić","doi":"10.17305/bb.2025.12979","DOIUrl":"10.17305/bb.2025.12979","url":null,"abstract":"<p><p>A systematic review with meta-analysis (SRMA) represents the pinnacle of evidence, but its validity depends on methodological rigor. This narrative review synthesizes recommendations from major reporting frameworks- Preferred Reporting Items for Systematic Reviews and Meta‑Analyses 2020 (PRISMA‑2020), Meta‑Analysis of Observational Studies in Epidemiology (MOOSE) and Preferred Reporting Items for Overviews of Reviews (PRIOR)-into a concise checklist for peer reviewers. The checklist addresses common sources of bias that often escape editorial assessment. Initially, it outlines how reviewers should assess the rationale for an SRMA by identifying existing syntheses on the same topic and determining whether the new work provides substantive novelty or a significant update. Best practices are summarized for protocol registration, comprehensive search strategies, study selection and data extraction, risk-of-bias evaluation, and context-appropriate statistical modeling, with a specific focus on heterogeneity, small-study effects, and data transparency. Case examples highlight frequent pitfalls, such as unjustified pooling of heterogeneous designs and selective outcome reporting. Guidance is also provided for formulating balanced, actionable review comments that enhance methodological integrity without extending editorial timelines. This checklist equips editors and reviewers with a structured tool for systematic appraisal across clinical disciplines, ultimately improving the reliability, reproducibility, and clinical utility of future SRMAs.</p>","PeriodicalId":72398,"journal":{"name":"Biomolecules & biomedicine","volume":" ","pages":"40-50"},"PeriodicalIF":0.0,"publicationDate":"2025-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12499546/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144676693","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Frailty and survival of patients with renal cell carcinoma: A meta-analysis.","authors":"Longye Zhang, Weiping Liu, Bo Ning, Bohan Chen","doi":"10.17305/bb.2025.12687","DOIUrl":"10.17305/bb.2025.12687","url":null,"abstract":"<p><p>Frailty is a multidimensional syndrome reflecting decreased physiological reserve and increased vulnerability to stressors, which may adversely affect cancer prognosis. However, its impact on survival outcomes in patients with renal cell carcinoma (RCC) remains unclear. This meta-analysis aimed to evaluate the association between frailty and survival in RCC patients. A systematic search of PubMed, Embase, and Web of Science was conducted for longitudinal studies assessing frailty in adults with RCC. Studies using validated frailty assessment tools and reporting overall survival (OS) and/or progression-free survival (PFS) were included. Pooled hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated using random-effects models. Subgroup and sensitivity analyses were performed to explore heterogeneity. Eight cohort studies involving 15,989 RCC patients were included. Frailty was associated with significantly poorer OS (HR = 1.79, 95% CI: 1.45-2.20; I² = 30%) and PFS (HR = 2.17, 95% CI: 1.54-3.04; I² = 0%). The association between frailty and OS remained robust across sensitivity analyses by excluding one study at a time and was consistent across subgroups stratified by cancer stage, treatment modality, patient age, frailty assessment method, follow-up duration, and analytic model (all p values for subgroup differences > 0.05). Subtype-specific data according to the histologic type of RCC were unavailable, which limits detailed prognostic interpretation. No significant publication bias was detected. Frailty may be significantly associated with poorer survival outcomes in patients with RCC. Incorporating frailty assessment into routine clinical evaluation may aid in prognostication and individualized treatment planning for this patient population.</p>","PeriodicalId":72398,"journal":{"name":"Biomolecules & biomedicine","volume":" ","pages":"2620-2631"},"PeriodicalIF":0.0,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12461282/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144676692","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"<i>In silico</i> analysis reveals distinct changes in markers of epithelial to mesenchymal transition in glioma subtypes.","authors":"Nives Pećina-Šlaus, Alja Zottel, Željko Škripek, Borna Puljko, Fran Dumančić, Anja Bukovac, Ivana Jovčevska, Anja Kafka","doi":"10.17305/bb.2025.12598","DOIUrl":"10.17305/bb.2025.12598","url":null,"abstract":"<p><p>Epithelial to mesenchymal transition (EMT) plays a critical role in tumor progression and metastasis, including in gliomas. To examine and interpret data on major genes involved in EMT and associate their changes with low-grade (LGG) and/or high-grade (HGG) gliomas, data from the cBioPortal-a publicly available database for tumor genomics and transcriptomics, were collected for 13 genes: CDH1, CDH2, CTNNB1, LEF1, NOTCH1, SNAI1, SNAI2, SOX2, TJP1/ZO1, TWIST1, VIM, ZEB1, and ZEB2. The dataset included mutations, copy number alterations (CNA), and changes in transcript levels reported for each gene. The genes were additionally validated by gene expression on the GlioVis portal, STRING protein network analysis, survival analysis, and experimentally with qRT-PCR. Glioblastoma and diffuse glioma harbored changes in all 13 analyzed genes, while anaplastic oligodendroglioma and anaplastic astrocytoma in 46.15%, oligodendroglioma in 23.08%, and oligoastrocytoma in 15.38%. NOTCH1 and SOX2 were most affected by changes. The NOTCH1 gene was statistically more frequently changed compared to CDH1, CTNNB1, and ZEB1 (p < 0.05). The virtual study showed that alterations in NOTCH1 and LEF1 were associated with LGG, while alterations in CDH1, CTNNB1, TJP1, TWIST1, SOX2, VIM, ZEB1, and ZEB2 were associated with HGG. Differential expression analysis stratified for IDH1 mutations showed that IDH1-mutant glioblastoma had significantly lower CDH2, LEF1 and SNAI1 expression, and higher ZEB1. Gene expression in different glioblastoma subtypes showed that the TJP1/ZO1 gene was associated with the classical subtype, while ZEB2 was associated with the proneural subtype. qRT-PCR confirmed GlioVis mRNA expression data for NOTCH1, SOX2, CDH1, CTNNB1, TJP1/ZO-1, VIM, TWIST1, and partially for SNAI1 (SNAIL), SNAI2, and CDH2. Our study shows consistent changes in genes involved in EMT in gliomas of different grades. Additional research is needed to confirm the knowledge brought by this study.</p>","PeriodicalId":72398,"journal":{"name":"Biomolecules & biomedicine","volume":" ","pages":"2712-2736"},"PeriodicalIF":0.0,"publicationDate":"2025-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12461275/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144661141","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Gastrointestinal diffuse large B-cell lymphoma: Clinical characteristics and prognostic analysis from SEER database.","authors":"Fang Du, Lingyun Zhou, Runya Fang, Jiao Chen, Danbo Liu, Hongxian Xiang, Wenyi Lu, Jingsong Wu, Haifei Chen","doi":"10.17305/bb.2025.12697","DOIUrl":"10.17305/bb.2025.12697","url":null,"abstract":"<p><p>This study systematically analyzed the clinicopathological characteristics and prognostic factors of gastrointestinal diffuse large B-cell lymphoma (GI-DLBCL) patients using the SEER database. The Kaplan-Meier method was used to survival analysis, while LASSO regression analysis was utilized to further filter variables. The Pi for interaction was applied to verify the interactions in the multivariate analysis, and total survival risks were distinguished using hierarchical survival curves. Multivariate Cox regression analysis revealed that hazard ratio (HR) values indicated that age over 60 years (HR = 2.85), Ann Arbor stage (stage II: HR = 1.22; stage III: HR = 1.31; stage IV: HR = 1.85), and being widowed (HR = 1.40) were independent poor prognostic factors. In contrast, chemotherapy (HR = 0.37), radiotherapy (HR = 0.84), surgery (HR = 0.86), and lymph node resection (HR = 0.79) were associated with significant survival benefits. Additionally, an intestinal primary site (HR = 0.89), white race (HR = 0.78), and other races (HR = 0.65) were correlated with better prognosis. The nomogram model constructed from these independent prognostic factors demonstrated excellent predictive performance in both the training and validation cohorts, achieving a C-index of 0.71, significantly outperforming the traditional Ann Arbor staging system, which had a C-index of 0.56. Receiver operating characteristic (ROC) curve analysis indicated high discriminative ability for predicting 3-year, 5-year, and 10-year survival rates, with area under curve (AUC) values of 0.746, 0.756, and 0.756, respectively. Decision curve analysis (DCA) further confirmed the model's significant clinical net benefit across a wide range of threshold probabilities. The nomogram model developed in this study, based on extensive SEER database data, effectively predicts the prognosis of GI-DLBCL patients and provides a quantitative tool for individualized treatment.</p>","PeriodicalId":72398,"journal":{"name":"Biomolecules & biomedicine","volume":" ","pages":"2666-2679"},"PeriodicalIF":0.0,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12461273/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144593049","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Beyond BMI: An opinion on the clinical value of AI-powered CT body composition analysis.","authors":"Matej Pekar, Marek Kantor, Jakub Balusik, Jan Hecko, Piotr Branny","doi":"10.17305/bb.2025.12774","DOIUrl":"10.17305/bb.2025.12774","url":null,"abstract":"<p><p>Body Mass Index (BMI) has long been used as a standard measure for assessing population-level health risks, but its clinical adequacy has increasingly been called into question. This opinion paper challenges the clinical adequacy of BMI and presents AI-enhanced CT body composition analysis as a superior alternative for individualized risk assessment. While BMI serves population-level screening, its inability to differentiate between tissue types leads to critical misclassifications, particularly for sarcopenic obesity. AI-powered analysis of CT imaging at the L3 vertebra level provides precise quantification of skeletal muscle index, visceral, and subcutaneous adipose tissues -metrics that consistently outperform BMI in predicting outcomes across oncology, cardiology, and critical care. Recent technological advances have transformed this approach: the \"opportunistic\" use of existing clinical CT scans eliminates radiation concerns, while AI automation has reduced analysis time from 15-20 minutes to mere seconds. These innovations effectively address previous implementation barriers and enable practical clinical application with minimal resource demands, creating opportunities for targeted interventions and personalized care pathways.</p>","PeriodicalId":72398,"journal":{"name":"Biomolecules & biomedicine","volume":" ","pages":"2586-2593"},"PeriodicalIF":0.0,"publicationDate":"2025-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12461277/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144593047","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Body weight and BMI variability linked to dementia risk: A meta-analysis.","authors":"Sitian Fang, Lewei Guan, Huimin Jian, Xi-Jian Dai, Lianggeng Gong","doi":"10.17305/bb.2025.12626","DOIUrl":"10.17305/bb.2025.12626","url":null,"abstract":"<p><p>Emerging evidence suggests that fluctuations in body weight (BW) or body mass index (BMI), independent of average levels, may influence dementia risk. However, the association  between  intra-individual variability in BW or BMI and incident dementia remains unclear. This meta-analysis aimed to clarify this relationship. A systematic search of PubMed, Embase, and Web of Science was conducted through March 25, 2025, to identify longitudinal observational studies reporting dementia outcomes in relation to BW or BMI variability. Relative risks (RRs) comparing the highest versus lowest variability categories were pooled using a random-effects model. Subgroup and sensitivity analyses were performed to explore heterogeneity and assess the robustness of the results. Nine cohort studies (10 datasets; 4,232,666 participants) were included. Overall, high BW or BMI variability was associated with a significantly increased risk of dementia (RR = 1.36, 95% CI: 1.27-1.46; p < 0.001; I² = 84%). The association was consistent for both BW (RR = 1.45) and BMI (RR = 1.34) variability. Subgroup analyses showed stronger associations in prospective studies than in retrospective ones, and in studies that did not adjust for baseline BW/BMI compared to those that did (p for subgroup difference < 0.05). Associations remained robust in sensitivity analyses and across dementia subtypes, including Alzheimer's disease and vascular dementia. No significant publication bias was detected (Egger's test, p = 0.22). In conclusion, greater intra-individual variability in BW or BMI may be independently associated with increased dementia risk. These findings underscore the importance of maintaining weight stability in mid-to-late life as a potential preventive strategy for dementia.</p>","PeriodicalId":72398,"journal":{"name":"Biomolecules & biomedicine","volume":" ","pages":"2632-2646"},"PeriodicalIF":0.0,"publicationDate":"2025-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12461276/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144593048","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}