Clinical Physiology and Functional Imaging最新文献

{"title":"Effect of food intake on biomarkers measured by the Proseek Multiplex Metabolism panel","authors":"Magnus Dencker,&nbsp;Ola Björgell,&nbsp;Joanna Hlebowicz","doi":"10.1111/cpf.70069","DOIUrl":"10.1111/cpf.70069","url":null,"abstract":"<p>Food intake induces metabolic and hemodynamic changes, but its impact on many circulating protein biomarkers remains unclear. This study assessed the effect of a standardised meal on 85 plasma biomarkers measured by the Proseek Multiplex Metabolism panel. Twenty-two healthy adults (11 men, 11 women; mean age 25.9  ±  4.2 years) were examined after an overnight fast and at 30 and 120 min following a standardised meal. Plasma samples were analysed with the Proseek Multiplex Metabolism panel. Twelve biomarkers decreased significantly after food intake; none increased. Eight biomarkers were reduced at 30 min, and four remained decreased at 120 min. The largest changes (&gt;20%) were observed for DNA-(apurinic/apyrimidinic site) endonuclease, eosinophil cationic protein, thyrotropin subunit beta, carbonic anhydrase 13, and Crk-like protein. Food intake has modest effects on most biomarkers in the Proseek Multiplex Metabolism panel, suggesting fasting may not be critical for routine use. However, caution is warranted for biomarkers showing &gt;20% change. Further studies in diverse populations and disease states are needed to confirm these findings.</p>","PeriodicalId":10504,"journal":{"name":"Clinical Physiology and Functional Imaging","volume":"46 3","pages":""},"PeriodicalIF":1.3,"publicationDate":"2026-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147962599","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":10504,"journal":{"name":"Clinical Physiology and Functional Imaging","volume":"46 3","pages":""},"PeriodicalIF":1.3,"publicationDate":"2026-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148082155","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effect of device and expiratory maneuver technique on peak expiratory flow measurements","authors":"Leon L. Csonka,&nbsp;Antti Tikkakoski,&nbsp;Jussi Karjalainen,&nbsp;Lauri Lehtimäki","doi":"10.1111/cpf.70067","DOIUrl":"10.1111/cpf.70067","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Peak expiratory flow (PEF) obtained from dedicated PEF meters and various types of spirometers is often used interchangeably in research, despite differences in both devices and expiratory maneuver technique. The aim of this study was to assess the effects of expiratory maneuver type and measurement device on PEF.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We recruited 20 healthy adults experienced in performing spirometry. Each subject performed three measurements using two expiratory maneuvers (a short, explosive maneuver and a long, spirometry-style maneuver) with four devices: the handheld microspirometers Medikro Duo and MIR Spirobank, the laboratory spirometer Vyntus Pneumo, and the Mini-Wright PEF meter.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>PEF differed significantly between devices (F(3,133) = 171.8, <i>p</i> &lt; 0.001), but not between short and long expiratory maneuver techniques (F(1,133) = 2.24, <i>p</i> = 0.137). There was no significant interaction between device and technique (F(3,133) = 0.72, <i>p</i> = 0.543). Compared with the Mini-Wright, Spirobank yielded PEF values that were on average 87.1 L/min higher (74.6–99.7, <i>p</i> &lt; 0.001), and Vyntus Pneumo 26.5 L/min higher (14.0–39.1, <i>p</i> &lt; 0.001), whereas Medikro did not differ significantly from the Mini-Wright (mean difference −9.5 L/min, −22.1–3.1, <i>p</i> = 0.269). The pairwise differences between the three spirometers were all statistically significant (all <i>p</i> &lt; 0.001).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Because short and long expiratory maneuver techniques yield similar results on PEF, future studies of home spirometry may compare the diagnostic performance of PEF and forced expiratory volume in 1 s (FEV₁) using the same long, spirometry-style expiratory maneuvers. However, comparison of absolute PEF values between devices must be done cautiously.</p>\u0000 </section>\u0000 </div>","PeriodicalId":10504,"journal":{"name":"Clinical Physiology and Functional Imaging","volume":"46 3","pages":""},"PeriodicalIF":1.3,"publicationDate":"2026-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13177274/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147940514","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":10504,"journal":{"name":"Clinical Physiology and Functional Imaging","volume":"46 3","pages":""},"PeriodicalIF":1.3,"publicationDate":"2026-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148080620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dynamic aortic stiffness response to exercise as a marker of functional capacity in early-stage heart failure","authors":"Mustafa Ferhat Keten,&nbsp;Alev Kilicgedik,&nbsp;Nesri Danisman,&nbsp;Ismail Balaban,&nbsp;Cemalettin Yilmaz,&nbsp;Kadir Biyikli,&nbsp;Halit Eminoglu,&nbsp;Seda Tanyeri Uzel,&nbsp;Ali Karagoz,&nbsp;Cevat Kirma","doi":"10.1111/cpf.70066","DOIUrl":"10.1111/cpf.70066","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objectives</h3>\u0000 \u0000 <p>Aortic stiffness increases ventricular afterload and limits exercise capacity in heart failure (HF), but its dynamic response to exercise remains insufficiently defined. This study aimed to evaluate exercise-induced changes in aortic stiffness and their association with functional capacity in patients with early-stage HF. Heart-rate recovery (HRR) was assessed as secondary parameter.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>This prospective study enrolled 42 compensated HF patients (ejection fraction &lt;45%) in sinus rhythm. Aortic diameters were measured 3 cm above the aortic valve using M-mode echocardiography to calculate the Stiffness Index (SI), Peterson's Elastic Modulus (Ep), and Aortic Distensibility (D). All patients underwent a symptom-limited treadmill test using the modified Bruce protocol. HRR was defined as the difference between peak heart rate and heart rate at 1 min of recovery. Echocardiographic measurements were repeated within 60 s after exercise.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Aortic stiffness increased significantly after exercise [SI: 5.05 (4.18–6.30) to 6.03 (4.59–7.79); <i>p</i> &lt; 0.001], while distensibility decreased [2.64 to 1.90 ×10 − 6 cm2·dyn−1; <i>p</i> &lt; 0.001]. Patients with NYHA class II had higher SI and Ep and lower D at rest and post- exercise than NYHA class I patients (all <i>p</i> &lt; 0.001). NYHA class was the only independent predictor of post-exercise stiffness (β = 3.32; 95% CI 1.33–5.30; <i>p</i> = 0.002). Exercise capacity was significantly lower in NYHA II patients (7.0 vs 10.1 METs; <i>p</i> &lt; 0.001). HRR showed no significant association with aortic stiffness or exercise capacity.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>In early-stage HF, increased resting and exercise-induced aortic stiffness is strongly associated with reduced functional capacity, indicating early impairment of vascular compliance reserve during physiological stress.</p>\u0000 </section>\u0000 </div>","PeriodicalId":10504,"journal":{"name":"Clinical Physiology and Functional Imaging","volume":"46 3","pages":""},"PeriodicalIF":1.3,"publicationDate":"2026-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147811781","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":10504,"journal":{"name":"Clinical Physiology and Functional Imaging","volume":"46 3","pages":""},"PeriodicalIF":1.3,"publicationDate":"2026-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148130352","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":10504,"journal":{"name":"Clinical Physiology and Functional Imaging","volume":"46 3","pages":""},"PeriodicalIF":1.3,"publicationDate":"2026-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148064455","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":10504,"journal":{"name":"Clinical Physiology and Functional Imaging","volume":"46 3","pages":""},"PeriodicalIF":1.3,"publicationDate":"2026-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148095179","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":10504,"journal":{"name":"Clinical Physiology and Functional Imaging","volume":"46 3","pages":""},"PeriodicalIF":1.3,"publicationDate":"2026-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148122857","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association between appendicular skeletal muscle mass-to-visceral fat area ratio and cardiovascular disease: A cross-sectional study","authors":"Zehao Feng,&nbsp;Zhoufeng Deng,&nbsp;Kaixuan Tang,&nbsp;Lingmei Qian,&nbsp;Yingjie Xu","doi":"10.1111/cpf.70065","DOIUrl":"10.1111/cpf.70065","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objectives</h3>\u0000 \u0000 <p>The primary objective of this study was to examine the association between the skeletal muscle mass-to-visceral fat area ratio (SVR) and cardiovascular disease (CVD) prevalence.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>This study employed data from the 2011–2018 National Health and Nutrition Examination Survey (NHANES) to derive the SVR using dual-energy X-ray absorptiometry (DXA) measurements. CVD status was ascertained using self-reported physician-diagnosed medical history. Subsequent multivariable logistic regression analyses were performed to examine the relationship between SVR and CVD prevalence. Restricted cubic spline regression was utilized to examine underlying non-linear associations between the SVR and CVD risk. Stratified subgroup analyses were ultimately performed to assess the robustness of the findings. Sensitivity analyses were conducted with additional adjustment for total body fat percentage, and sex-stratified restricted cubic spline analyses were also conducted to explore potential differences in nonlinear associations between men and women.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>This study included 9383 participants, among whom 348 were diagnosed with CVD. Multivariable logistic regression models demonstrated a statistically significant inverse relationship between SVR and CVD prevalence (OR = 0.093; 95% CI: 0.016–0.542; <i>p</i> = 0.011). The association persisted after adjustment for total body fat percentage. RCS analysis revealed a non-linear association between the SVR and CVD risk. Moreover, subgroup analyses confirmed that the protective effect of SVR remained consistent across various baseline characteristics.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>The findings indicate that lower SVR correlates with an elevated risk of CVD, and this association has been robustly demonstrated across multiple studies.</p>\u0000 </section>\u0000 </div>","PeriodicalId":10504,"journal":{"name":"Clinical Physiology and Functional Imaging","volume":"46 3","pages":""},"PeriodicalIF":1.3,"publicationDate":"2026-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147764815","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}