The relationship between primary sarcopenia and SARC-F, serum MMP9, TIMP1 levels, and MMP9/TIMP1 ratio in the geriatric patients

Suzan, Veysel; Yavuzer, Hakan; Soytaş, Rabia Bağ; Kanat, Bahar Bektan; Arman, Pınar; Gedik, Tuğçe Emiroğlu; Ünal, Damla; Atar, Oguz; Bolayirli, İbrahim; Döventaş, Alper

doi:10.1007/s41999-021-00519-y

Cited by 7 publications

(4 citation statements)

References 25 publications

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“…The encoding gene is located in the P11 region of the X chromosome and is secreted by HSCs. The TIMP levels were proportional to the number of activated HSCs [ 24 ]. There was a correlation between TIMP-1 levels and liver fibrosis severity and cirrhosis in patients with CHB [ 25 ].…”

Section: Discussionmentioning

confidence: 99%

Correlation of Serum M-CSF, CER, and TIMP-1 Levels with Liver Fibrosis in Viral Hepatitis

Yao

Yang

Yan

et al. 2022

Computational and Mathematical Methods in Medicine

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Objective. This research is aimed at investigating the relationship between liver fibrosis in viral hepatitis and macrophage colony-stimulating factor (M-CSF), tissue inhibitor of matrix metalloproteinase (TIMP-1), and ceruloplasmin (CER) in serum level. Methods. Patients were randomly selected among those admitted to our hospital, and 60 healthy volunteers were chosen to serve as control participants. The levels of serum M-CSF, CER, and TIMP-1 were compared. According to the severity of their liver fibrosis, patients with CHB were separated into four groups: S1, S2, S3, and S4. Serum levels of M-CSF, CER, and TIMP-1 were correlated with liver fibrosis and hepatitis markers, and the diagnostic usefulness of the three indices was assessed with liver cirrhosis patients. Results. Increases in M-CSF and TIMP-1 in the CHB group but decreases in CER were statistically significant ( P < 0.05 ). Serum levels of M-CSF, CER, TIMP-1, HA, PC-III, C-IV, and LN differed significantly across the four study groups ( P < 0.05 ). Over time, as liver fibrosis worsened, we observed a progressive uptick in M-CSF, TIMP-1, LN, HA, C-IV, and PC-III levels and a progressive downtick in CER levels, with significant ( P < 0.05 ) differences between the groups. There was a significant positive correlation between liver fibrosis and serum M-CSF, PC-III, TIMP-1, HA, LN, and C-IV levels in the CHB group ( P < 0.05 ) and a significant negative correlation between serum CER and these same factors ( P < 0.05 ). The AUC of 0.956 for diagnosing the S4 stage was greater than that of 0.857, 0.851, and 0.817 for M-CSF, CER, and TIMP-1, respectively. Conclusions. In CHB patients, the liver fibrosis degree is associated with the M-CSF, CER, and TIMP-1 levels, and the combined clinical detection of these three markers has better diagnostic significance.

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Section: Discussionmentioning

confidence: 99%

Correlation of Serum M-CSF, CER, and TIMP-1 Levels with Liver Fibrosis in Viral Hepatitis

Yao

Yang

Yan

et al. 2022

Computational and Mathematical Methods in Medicine

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“…These include IL-15 (Yalcin et al, 2018), IL-6 (Rong et al, 2018;Rossi et al, 2019;Schaap et al, 2006;Volpato et al, 2014), CRP (Schaap et al, 2006;Volpato et al, 2014), Myostatin (Yarasheski et al, 2002), IL-10 (Rong et al, 2018), IL-18 (Li et al, 2019a), TNF-a (Volpato et al, 2014) and Leptin (Li et al, 2019a), which exhibit higher serum levels. Conversely, lower serum levels of MMP9 (Suzan et al, 2021), Irisin (Chang et al, 2017), IGF-1 (Naranjo et al, 2017;Volpato et al, 2014) and FGF21 (Li et al, 2019a) have been observed in sarcopenia patients.…”

Section: Secretory Factors Detectable In Biofluidsmentioning

confidence: 97%

Biomarkers of aging

Bao

Cao

Chen

et al. 2023

Sci. China Life Sci.

123

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Aging biomarkers are a combination of biological parameters to (i) assess age-related changes, (ii) track the physiological aging process, and (iii) predict the transition into a pathological status. Although a broad spectrum of aging biomarkers has been developed, their potential uses and limitations remain poorly characterized. An immediate goal of biomarkers is to help us answer the following three fundamental questions in aging research: How old are we? Why do we get old? And how can we age slower? This review aims to address this need. Here, we summarize our current knowledge of biomarkers developed for cellular, organ, and organismal levels of aging, comprising six pillars: physiological characteristics, medical imaging, histological features, cellular alterations, molecular changes, and secretory factors. To fulfill all these requisites, we propose that aging biomarkers should qualify for being specific, systemic, and clinically relevant. Supporting Information The supporting information is available online at 10.1007/s11427-023-2305-0. The supporting materials are published as submitted, without typesetting or editing. The responsibility for scientific accuracy and content remains entirely with the authors.

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“…In this study, TIMP1 and PLAUR were upregulated 3 days after the onset of ICH compared with that before the onset. Previous studies have found that TIMP1 is associated with primary sarcopenia, colon cancer progression and metastasis, and some infectious diseases ( 55 – 57 ). We found that TIMP1 is involved in platelet activation and aggregation, insulin signaling pathway activation, and angiogenesis.…”

Section: Discussionmentioning

confidence: 98%

Hypoxia- and Inflammation-Related Transcription Factor SP3 May Be Involved in Platelet Activation and Inflammation in Intracranial Hemorrhage

Wan

Feng²,

Wang³

et al. 2022

Front. Neurol.

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The purpose of this study was to identify the biomarkers implicated in the development of intracranial hemorrhage (ICH) and potential regulatory pathways. In the transcriptomic data for patients with ICH, we identified DEmiRNAs and DEmRNAs related to hypoxia, inflammation, and their transcription factors (TFs). An ICH-based miRNA-TF-mRNA regulatory network was thus constructed, and four biomarkers (TIMP1, PLAUR, DDIT3, and CD40) were screened for their association with inflammation or hypoxia by machine learning. Following this, SP3 was found to be a transcription factor involved in hypoxia and inflammation, which regulates TIMP1 and PLAUR. From the constructed miRNA-TF-mRNA regulatory network, we identified three axes, hsa-miR-940/RUNX1/TIMP1, hsa-miR-571/SP3/TIMP1, and hsa-miR-571/SP3/PLAUR, which may be involved in the development of ICH. Upregulated TIMP1 and PLAUR were validated in an independent clinical cohort 3 days after ICH onset. According to Gene Set Enrichment Analysis (GSEA), SP3 was discovered to be important in interleukin signaling and platelet activation for hemostasis. Transcription factor SP3 associated with hypoxia or inflammation plays an important role in development of ICH. This study provides potential targets for monitoring the severity of inflammation and hypoxia in patients with ICH.

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The relationship between primary sarcopenia and SARC-F, serum MMP9, TIMP1 levels, and MMP9/TIMP1 ratio in the geriatric patients

Cited by 7 publications

References 25 publications

Correlation of Serum M-CSF, CER, and TIMP-1 Levels with Liver Fibrosis in Viral Hepatitis

Correlation of Serum M-CSF, CER, and TIMP-1 Levels with Liver Fibrosis in Viral Hepatitis

Biomarkers of aging

Hypoxia- and Inflammation-Related Transcription Factor SP3 May Be Involved in Platelet Activation and Inflammation in Intracranial Hemorrhage

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