Biomarkers For Treatment Monitoring Research Articles

A comparative study of ProGRP and CEA as serological markers in small cell lung cancer treatment

BackgroundSmall Cell Lung Cancer (SCLC) presents a significant clinical challenge due to its aggressive nature and the need for effective biomarkers for treatment monitoring. This study aimed to compare ProGRP and CEA as serological markers in the monitoring of SCLC treatment.MethodsWe retrospectively analyzed data from 80 SCLC patients and 80 matched controls. ProGRP and CEA levels were measured, and their associations with clinical parameters, including tumor stage and treatment response, were assessed using Spearman’s rank correlation coefficient. Multivariate logistic regression models were employed to identify independent predictors of treatment response and disease progression.ResultsProGRP and CEA levels were considerably higher in cases than controls, with median ProGRP levels at 198.5 pg/mL versus 48.7 pg/mL and median CEA levels at 5.2 ng/mL versus 2.9 ng/mL (both p < 0.001). ProGRP levels correlated positively with tumor stage (ρ = 0.58, p < 0.001) and negatively with treatment response (ρ = − 0.45, p = 0.001). CEA levels also showed positive correlation with tumor stage (ρ = 0.48, p = 0.002) and negative correlation with treatment response (ρ = − 0.35, p = 0.005). Multivariate analysis revealed that ProGRP was an independent predictor for treatment response (OR 1.25 per 100 pg/mL increase, p = 0.001) and disease progression (OR 1.25 per 50 pg/mL increase, p = 0.012), while CEA was a marginal predictor for treatment response (OR 0.95 per 1 ng/mL increase, p = 0.045).ConclusionBoth ProGRP and CEA are significant serological markers in SCLC patients, with ProGRP showing a stronger correlation with tumor stage and treatment response. ProGRP may serve as a superior independent predictor of treatment response and disease progression compared to CEA. These findings support the incorporation of ProGRP in SCLC treatment monitoring protocols.

Microbial- and host immune cell-derived extracellular vesicles in the pathogenesis and therapy of periodontitis: A narrative review.

Periodontitis is a chronic inflammatory disease caused by dysbiotic biofilms and destructive host immune responses. Extracellular vesicles (EVs) are circulating nanoparticles released by microbes and host cells involved in cell-to-cell communication, found in body biofluids, such as saliva and gingival crevicular fluid (GCF). EVs are mainly involved in cell-to-cell communication,and may hold promise for diagnostic and therapeutic purposes. Periodontal research has examined the potential involvement of bacterial- and host-cell-derived EVs in disease pathogenesis, diagnosis, and therapy, but data remains scarce on immune cell- or microbial-derived EVs. In this narrative review, we first provide an overview of the role of microbial and host-derived EVs on disease pathogenesis. Recent studies reveal that Porphyromonas gingivalis and Aggregatibacter actinomycetemcomitans-derived outer membrane vesicles (OMVs) can activate inflammatory cytokine release in host cells, while M1 macrophage EVs may contribute to bone loss. Additionally, we summarised current invitro and pre-clinical research on the utilisation of immune cell and microbial-derived EVs as potential therapeutic tools in the context of periodontal treatment. Studies indicate that EVs from M2 macrophages and dendritic cells promote bone regeneration in animal models. While bacterial EVs remain underexplored for periodontal therapy, preliminary research suggests that P. gingivalis OMVs hold promise as vaccine candidates. Finally, we acknowledge the current limitations present in the field of translating immune cell derived EVs and microbial derived EVs in periodontology. It is concluded that microbial and host immune cell-derived EVs have a role in periodontitis pathogenesis and hence may be useful for studying disease pathophysiology, and as diagnostic and treatment monitoring biomarkers.

Effect of adalimumab on choroidal thickness and choroidal vascularity index in eyes with non-infectious uveitis using enhanced-depth imaging optical coherence tomography

ObjectiveTo evaluate the effect of adalimumab (ADA) on choroidal thickness (ChT) and choroidal vascularity index (CVI) in eyes with non-infectious uveitis (NIU).MethodsThirty-seven eyes with NIU including Behçet disease (BD), sarcoidosis, ankylosing spondylitis (AS), juvenile idiopathic arthritis and idiopathic arthritis, 38 eyes of non-uveitic (NU) patients including BD, AS and rheumatoid arthritis, and 40 healthy control eyes were included. ADA was used for anti-TNF-naive adult (80 mg) or paediatric (40 mg) patients with refractory NIU, then 40 mg every 2-week (20 mg in children<30 kg) with controls at weeks 1, 4, 12, and 24. Images were used to measure central, nasal, and temporal ChT, and the luminal area (LA), stromal area, and total choroidal area (TCA) were analysed using enhanced-depth imaging optical coherence tomography (EDI-OCT) by ImageJ software. The CVI was then calculated as the ratio of LA to TCA.ResultsMean ages were similar between the groups. Mean (SE) subfoveal ChT measurements for each location were also similar (for each, p > 0.05). However, calculated CVI values in eyes with NIU (0.63 ± 0.007) were significantly (p < 0.001) lower than NU eyes (0.66 ± 0.006) and controls (0.70 ± 0.007) (p < 0.001). Moreover, CVI was significantly lower in NU eyes compared to controls (p < 0.001). There were no significant CVI changes between the consecutive visits after ADA therapy in eyes with NIU (for each, p > 0.05).ConclusionsDecreased CVI in NIU and NU eyes indicates that systemic inflammation affects the choroidal vasculature and perfusion both in the presence and absence of ocular involvement. Although CVI may be used as a possible novel tool in monitoring ocular involvement and progression of NIU, CVI does not seem to be a biomarker for treatment monitoring in NIU.

SAT296 Ambulatory 24-hour Tissue Microdialysis Of Cortisol And Metabolites, A Tool For Precision Management In Addison’s Disease

Abstract Disclosure: I. Botusan: None. K. Berinder: None. P. Methlie: None. T. Upton: None. E. Zavala: None. K. Simunkova: None. D.A. Vassiliadi: None. I. Marinelli: None. G.M. Russell: None. M.A. Grytaas: None. S. Tsagarakis: None. S.L. Lightman: None. E.S. Husebye: None. O. Kampe: None. M. Oksnes: None. S. Bensing: None. Background: The autoimmune attack on the adrenals in AD (Addison’s disease) results in lack of the vital hormones cortisol and aldosterone, rendering AD patients dependent on life-long hormone replacement therapy. Current therapies cannot replicate the physiological well-tuned, circadian and ultradian hormonal oscillations properly, probably contributing to increased mortality, morbidity and reduced quality of life. No established biomarker for treatment monitoring exists hampering treatment optimization. Ambulatory 24-hour dynamic steroid profiling may represent a novel therapy-monitoring tool, providing new insights in different replacement therapy regimes. Aim: We aimed to assess 24-hour profiles of free cortisol and metabolites in patients with AD on different glucocorticoid replacement therapies (GRT) and compare the results with healthy volunteers (HV). Material and methods: The study includes 41 patients with AD on different GRT regimes (hydrocortisone, cortisone acetate, modified release hydrocortisone) and 214 healthy participants. Twenty minute microdialysis fractions were collected ambulatory from abdominal subcutaneous tissue over 24 hours using a novel and portable microdialysis fraction collector (U-RHYTHM). Steroid hormones were analyzed by ultrasensitive liquid chromatography tandem mass spectroscopy (LC-MS/MS). Dynamic biomarkers were used to define hormone parameters in both healthy and hormone-replaced participants, and to assess the “time in range” for patients on GRT compared with the profiles of healthy controls. Results: Free cortisol and cortisone levels were measurable in all AD patients, while 18- hydroxycortisol, and corticosterone were detected only in a few AD patients suggesting the persistence of residual adrenal function. Lower cortisol levels during night were observed in AD compared with controls. Ambulatory 24-hour dynamic steroid profiling revealed marked interindividual variations partially depending on the type of GRT and dosing-regime. Conclusions: The 24-hour profiles of free cortisol and cortisone differs between patients with AD and healthy volunteers. Ambulatory 24-hour microdialysis samplings may provide a novel dynamic tool to monitor GRT in AD providing opportunity for individual dose adjustment. Presentation: Saturday, June 17, 2023

Investigation of OCTA Biomarkers in Fabry Disease: A Long Term Follow-Up of Macular Vessel Area Density and Foveal Avascular Zone Metrics.

Retinal microvasculature is known to be altered in patients with Fabry disease (FD). We aimed to investigate the long-term changes in macular microvasculature and explore a reliable retinal biomarker for treatment monitoring in FD. Prospective study of 26 eyes with FD followed up to 48months (mean 24, range 8-48). OCT angiography (OCTA) images (2.9 × 2.9mm) were obtained using Heidelberg Spectralis II at baseline and follow-up. Macular vessel area density (VAD, %) was measured in three layers: superficial vascular plexus (SVP), intermediate capillary plexus (ICP) and deep capillary plexus (DCP) in three peri-macular circular sectors (c1, c2, c3). Additionally, foveal avascular zone (FAZ) area (mm2) and horizontal and vertical diameters (µm) were assessed. VAD decreased over time in SVP, ICP (in sectors c2 and c3) and DCP (all sectors) (p < 0.04). VAD reduction was predominantly seen in treated FD patients. FAZ and horizontal diameters increased at follow-up in FD patients compared to baseline (p ≤ 0.025). Correlation analysis showed a moderate to strong negative correlation between VAD of SVP and DCP in the innermost circle and FAZ in treated patients (r = - 0.6; p < 0.0001). This is the first long-term follow-up OCTA study in FD to our knowledge. A decrease in VAD, pronounced in the peripheral circle and deeper layers, as well as an enlargement of the FAZ could be observed over time. These changes reflect the vascular remodelling during the course of the disease. Interestingly, the reduction of VAD was more pronounced in treated patients. This could be a result of enzyme replacement therapy and could be potentially used as a reliable biomarker for monitoring the treatment of the disease. A baseline examination of VAD and FAZ before treatment initiation is meaningful. Larger studies are needed to establish the use of VAD and FAZ as biomarkers for treatment monitoring.

Corneal confocal microscopy reveals small nerve fibre loss correlating with motor function in adult spinal muscular atrophy.

5q Spinal muscular atrophy (SMA) is a progressive, inherited, and severely disabling - yet treatable - motor neuron disease. Although treatment options have evolved in recent years, biomarkers for treatment monitoring and prognosis prediction remain elusive. Here, we investigated the utility of corneal confocal microscopy (CCM), a non-invasive imaging technique to quantify small corneal nerve fibres in vivo, as a diagnostic tool in adult SMA. In this cross-sectional study, 19 patients with SMA type 3 and 19 healthy controls underwent CCM to measure corneal nerve fibre density (CNFD), corneal nerve fibre length (CNFL), and corneal nerve branch density (CNBD), as well as corneal immune cell infiltration. Hammersmith Functional Motor Scale Expanded (HFMSE) and Revised Upper Limb Module (RULM) scores and a 6-Minute Walk Test (6MWT) were conducted to explore any correlation between CCM findings and motor function. Corneal nerve fibre parameters were decreased in SMA patients versus healthy controls (CNFD: p = 0.030; CNFL: p = 0.013; CNBD: p = 0.020) in the absence of relevant immune cell infiltration. CNFD and CNFL correlated with HFMSE scores (CNFD: r = 0.492, p = 0.038; CNFL: r = 0.484, p = 0.042) and distance covered in the 6MWT (CNFD: r = 0.502, p = 0.042; CNFL: r = 0.553, p = 0.023). Corneal confocal microscopy CCM reveals sensory neurodegeneration in SMA, thereby supporting a multisystem view of the disorder. Subclinical small nerve fibre damage correlated with motor function. Thus, CCM may be ideally suited for treatment monitoring and prognosis.

Abstract 5588: Methylated ctDNA dynamics correspond with clinical tumor load in metastatic lung cancer patients on therapy

Abstract Treatment monitoring assays are needed to accurately and rapidly assess the efficacy of cancer treatments. While imaging remains the gold standard for monitoring the efficacy of cancer treatment, the use of more sensitive tools, such as liquid biopsy, could be beneficial for the patient’s ultimate treatment outcome. Several liquid biopsy-based assays that measure circulating tumor DNA (ctDNA) have been developed to meet this need. However, approaches that rely on quantifying the variant allele fraction (VAF) of somatic variants may be inaccurate or inconsistent due to a scarcity of detected somatic variants in the ctDNA or may be logistically infeasible if they require a tumor biopsy a priori. Methylated ctDNA has shown promise as a biomarker for treatment monitoring without requiring a tumor biopsy, but current efforts are limited in their ability to precisely quantify the amount of methylation present in the ctDNA. We hypothesize that more precise quantification of methylated ctDNA could enable more accurate correspondence with clinical tumor load and cancer treatment outcomes. Here, we present a retrospective study characterizing how amounts of methylated ctDNA dynamically change through cancer therapy. We tested 75 patient-treatment events, with each event composed of patient samples from one pre-treatment and two post-treatment time points, all from patients with Stage III-IV metastatic lung cancer receiving targeted therapies or immunotherapy. We employed a novel methylation-based, tumor-naive liquid biopsy assay for treatment monitoring by counting the number of methylated molecules in cell-free DNA. We observed methylation amounts ranging from &amp;lt;50 to &amp;gt;50,000 total methylated tumor molecules per 1000 assayed genomic equivalents at individual time points, indicating that the assay can detect a broad range of tumor load in blood. In addition, we measured changes between time points as large as &amp;gt;96% decrease and &amp;gt;2800% increase in methylation. We found that methylation correlated with maximum variant allele fractions as measured by a treatment selection assay (r2 = 0.74). Moreover, in this tumor-naive assay, we identified a median of 58 informative methylated loci, significantly more than a median of ~1-5 informative SNVs identified in VAF-based tumor-naive assays, and ~4-16 informative SNVs identified in VAF-based tumor-informed assays. This ~6-10x increase in the number of informative loci enables much more precise quantification and underlies the assay’s robustness and precision across patients, time points, and therapies. Finally, these changes in normalized total tumor molecules correlated with radiographic responses on imaging, duration of response, and time on therapy. Overall, our findings support the utility of methylated ctDNA as a biomarker for monitoring tumor load in cancer patients. Citation Format: Patrick Ye, Brian Woodward, Robb Viens, Sydne Langpap, Katherine Shelburne, Wen Zhou, Joyce Zhu, Jan Wignall, Gary Palmer, David Tsao, Oguzhan Atay, Hatim Husain. Methylated ctDNA dynamics correspond with clinical tumor load in metastatic lung cancer patients on therapy. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 5588.

Circulating miRNAs Respond to Denosumab Treatment After 2 Years in Postmenopausal Women With Osteoporosis-the MiDeTe study.

MicroRNAs (miRNAs)-short, single-stranded, noncoding RNAs-regulate several biological processes, including bone metabolism. We investigated circulating miRNAs as promising biomarkers for treatment monitoring in women with postmenopausal osteoporosis on denosumab (DMAB) therapy. In this prospective, observational, single-center study, 21 postmenopausal women treated with DMAB were included for a longitudinal follow-up of 2 years. Next-generation sequencing (NGS) was performed to screen for serological miRNAs at baseline, month 6, and month 24. Reverse transcription quantitative polymerase chain reaction (RT-qPCR) was used to confirm NGS findings in the entire cohort. Bone turnover markers (BTM) P1NP and CTX, and bone mineral density (BMD) by dual x-ray absorptiometry were assessed and correlated to miRNAs. BMD at the hip (5.5%, P = 0.0006) and lumbar spine significantly increased (11.4%, P = 0.017), and CTX (64.1%, P < 0.0001) and P1NP (69.3%, P < 0.0001) significantly decreased during treatment. NGS analysis revealed significant changes in miRNAs after 2 years of DMAB treatment but not after 6 months. Seven miRNAs were confirmed by RT-qPCR to be significantly changed during a 2-year course of DMAB treatment compared to baseline. Four of these were mainly transcribed in blood cells, including monocytes. Correlation analysis identified significant correlation between change in miRNA and change in BTMs as well as BMD. Based on effect size and correlation strength, miR-454-3p, miR-26b-5p, and miR-584-5p were defined as top biomarker candidates, with the strongest association to the sustained effect of denosumab on bone in osteoporotic patients. Two years of DMAB treatment resulted in upregulation of 7 miRNAs, 4 of which are mainly transcribed in monocytes, indicating a potential impact of DMAB on circulating osteoclast precursor cells. These changes were associated to BMD gain and BTM suppression and could therefore be useful for monitoring DMAB treatment response.

The metabolomics approach revealed a distinctive metabolomics pattern associated with hyperthyroidism treatment

Hyperthyroidism is characterized by increased thyroid hormone production, which impacts various processes, including metabolism and energy expenditure. Yet, the underlying mechanism and subsequent influence of these changes are unknown. Metabolomics is a broad analytical method that enables qualitative and quantitative examination of metabolite level changes in biological systems in response to various stimuli, pathologies, or treatments. This study uses untargeted metabolomics to explore the potential pathways and metabolic patterns associated with hyperthyroidism treatment. The study consisted of 20 patients newly diagnosed with hyperthyroidism who were assessed at baseline and followed up after starting antithyroid treatment. Two blood samples were taken from each patient, pre (hyperthyroid state) and post-treatment (euthyroid state). Hyperthyroid and euthyroid states were identified based on thyroxine and thyroid-stimulating hormone levels. The metabolic alteration associated with antithyroid therapy was investigated using liquid chromatography- high-resolution mass spectrometry. The untargeted metabolomics data was analyzed using both univariate and multivariate analyses using MetaboAnalyst v5.0. The significant metabolic pattern was identified using the lab standard pipeline, which included molecular annotation in the Human Metabolome Database, LipidMap, LipidBlast, and METLIN. The identified metabolites were examined using pathway and network analyses and linked to cellular metabolism. The results revealed a strong group separation between the pre- and post-hyperthyroidism treatment (Q2 = 0.573, R2 = 0.995), indicating significant differences in the plasma metabolome after treatment. Eighty-three mass ions were significantly dysregulated, of which 53 and 30 characteristics were up and down-regulated in the post-treatment compared to the pre-treatment group, respectively. The medium-chain acylcarnitines, octanoylcarnitine, and decanoylcarnitine, previously found to rise in hyperthyroid patients, were among the down-regulated metabolites, suggesting that their reduction could be a possible biomarker for monitoring euthyroid restoration. Kynurenine is a downregulated tryptophan metabolite, indicating that the enzyme kynurenine 3-hydroxylase, inhibited in hyperthyroidism, is back functioning. L-cystine, a cysteine dimer produced from cysteine oxidation, was among the down-regulated metabolites, and its accumulation is considered a sign of oxidative stress, which was reported to accompany hyperthyroidism; L-cystine levels dropped, this suggests that the plasma level of L-cystine can be used to monitor the progress of euthyroid state restoration. The plasma metabolome of patients with hyperthyroidism before and after treatments revealed differences in the abundance of several small metabolites. Our findings add to our understanding of hyperthyroidism's altered metabolome and associated metabolic processes and shed light on acylcarnitines as a new biomarker for treatment monitoring in conjunction with thyroxine and thyroid-stimulating hormone.

Transcriptional Biomarkers for Treatment Monitoring of Pulmonary Drug-Resistant Tuberculosis: Protocol for a Prospective Observational Study in Indonesia.

Many blood-based gene expression biomarkers for monitoring tuberculosis (TB) treatment have been suggested so far, but promising biomarker results for drug-resistant TB treatment response have not been studied. This protocol presents a prospective observational study in Indonesia to profile the human blood transcriptome for predicting the response to drug-resistant TB treatment, focusing on pulmonary TB, and to adapt the specific RNA signature to the qRT-PCR platform. Longitudinal blood samples will be collected from 44 subjects with rifampicin resistant TB, confirmed by Xpert MTB/RIF, and 52 healthy controls. RNA-Seq will be performed to identify changes in the transcriptome following TB treatment. A discriminative RNA signature will be chosen and translated into a score for use in a quantitative PCR-based assay. This study will provide crucial information to guide the discovery and design of a clinically implementable tool to monitor the response of TB treatment.

Nanomechanical properties of solid tumors as treatment monitoring biomarkers

Many tumors, such as types of sarcoma and breast cancer, stiffen as they grow in a host healthy tissue, while individual cancer cells are becoming softer. Tumor stiffening poses major pathophysiological barriers to the effective delivery of drugs and compromises treatment efficacy. It has been established that normalization of the mechanical properties of a tumor by targeting components of the tumor microenvironment (TME) enhances the delivery of anti-cancer agents and consequently the therapeutic outcome. Consequently, there is an urgent need for the development of biomarkers, which characterize the mechanical state of a particular tumor for the development of personalized treatments or for monitoring therapeutic strategies that target the TME. In this work, Atomic Force Microscopy (AFM) was used to assess human and murine nanomechanical properties from tumor biopsies. In the case of murine tumor models, the nanomechanical properties during tumor progression were measured and a TME normalization drug (tranilast) along with chemotherapy doxorubicin were employed in order to investigate whether AFM has the ability to capture changes in the nanomechanical properties of a tumor during treatment. The nanomechanical data were further correlated with ex vivo characterization of structural components of the TME. The results highlighted that nanomechanical properties alter during cancer progression and AFM measurements are sensitive enough to capture even small alterations during different types of treatments, namely normalization and chemotherapy. The identification of unique AFM-based nanomechanical properties can lead to the development of biomarkers for treatment prediction and monitoring. Statement of significanceCancer progression is associated with vast remodeling of the tumor microenvironment resulting in changes in the mechanical properties of the tissue. Indeed, many tumors stiffen as they grow and this stiffening compromises treatment efficacy. As a result, a number of treatments target tumor microenvironment in order to normalize its mechanical properties. Consequently, there is an urgent need for the development of innovative tools that can assess the mechanical properties of a particular tumor and monitor tumor progression and treatment outcomes. This work highlights the use of atomic force microscopy (AFM) for assessing the elasticity spectrum of solid tumors at different stages and during treatment. This knowledge is essential for the development of AFM-based nanomechanical biomarkers for treatment prediction and monitoring.

Soluble Vascular Cell Adhesion Molecule-1 (sVCAM-1) and Natalizumab Serum Concentration as Potential Biomarkers for Pharmacodynamics and Treatment Response of Patients with Multiple Sclerosis Receiving Natalizumab.

Natalizumab (NTZ) is an established treatment for highly active, relapsing-remitting multiple sclerosis. In the context of rare progressive multifocal leukoencephalopathy and extended interval dosing as a treatment option, biomarkers for treatment monitoring are required. Natalizumab serum concentration (NTZ SC) and soluble vascular cell adhesion molecule 1 (sVCAM-1) concentrationwere shown to change on treatment with NTZ. We aimed to investigate whether NTZ SC and sVCAM-1 could be suitable pharmacodynamic markers and whether they could predict disease activity on NTZ, improving the concept of personalized multiple sclerosis treatment. In a retrospective study at the Medical University of Innsbruck, Austria, we identified patients treated with NTZ and chose samples longitudinally collected during routine follow-ups for the measurement of NTZ SC and sVCAM-1 by an enzyme-linked immunosorbent assay. We correlated these with clinical and demographic variables and clinical outcomes. Furthermore, we analyzed the stability of NTZ SC and sVCAM-1 during treatment. One hundred and thirty-seven patients were included. We found a strong negative correlation between NTZ SC and sVCAM-1. Both showed significant associations with body mass index, infusion interval, sample age, and anti-drug-antibodies. Natalizumab serum concentration was reduced in extended interval dosing, but not sVCAM-1. Only sVCAM-1 showed a weak association with relapses during treatment, while there was no association with disease progression. Both NTZ SC and sVCAM-1 showed a wide inter-individual distribution while levels in single patients were stable on treatment. Soluble vascular cell adhesion molecule 1 is a suitable pharmacodynamic marker during treatment with NTZ, which is significantly reduced already after the first dose, remains stable in individual patients even on extended interval dosing, and strongly correlates with NTZ SC. Because of the high inter-individual range, absolute levels of sVCAM-1 and NTZ SC are difficult to introduce as treatment monitoring biomarkers in order to predict disease activity in single patients.

Glial fibrillary acidic protein in cerebrospinal fluid of patients with spinal muscular atrophy.

ObjectiveActivated astroglia is involved in the pathophysiology of neurodegenerative diseases and has also been described in animal models of spinal muscular atrophy (SMA). Given the urgent need of biomarkers for treatment monitoring of new RNA‐modifying and gene replacement therapies in SMA, we examined glial fibrillary acidic protein concentrations in cerebrospinal fluid (cGFAP) as a marker of astrogliosis in SMA.Methods58 adult patients and 21 children with genetically confirmed 5q‐associated SMA from four German motor neuron disease specialist care centers and 30 age‐ and sex‐matched controls were prospectively included in this study. cGFAP was measured and correlated to motor performance and disease severity. Additionally, we compared cGFAP with neurofilament light chain concentrations in cerebrospinal fluid (cNfL).ResultscGFAP concentrations did not differ from controls but showed higher levels in more severely affected patients after adjustment for patients' age. Normalized cNfL values were associated with disease severity. Within 14 months of nusinersen treatment, cGFAP concentrations did not change, while cNfL decreased significantly.InterpretationcGFAP is not an outstanding biomarker in SMA, but might support the hypothesis that glial activation is involved in SMA pathology. Unlike previously suggested, cNfL may be a promising biomarker also in adult patients with SMA, which should be subject to further investigations.

Paper 33: Serum and Urine Biomarkers for Treatment Monitoring after Meniscal Allograft Transplantation in a Preclinical Canine Model

Objectives:To analyze serum and urine biomarker concentrations for their capabilities in delineating differences in assessments of pain and functional outcomes after meniscus allograft transplantation (MAT) in a preclinical canine model. The study was designed to test the hypothesis that serum and urine biomarkers could be used for prognostic (1- and 3-month post-surgical time points) and diagnostic (6-month time point) assessments, based on strong associations with clinically relevant pain and function outcomes after MAT.Methods:Twelve adult, purpose-bred research hounds were included and underwent medial meniscal release (MR) to induce medial compartment gonarthrosis. Three months following MR, medial MAT was performed using: fresh-frozen meniscus (n=4), fresh meniscus (n=4), or fresh menisco-tibial OCA (n=4). Serum and urine from all dogs were collected preoperatively and at 1, 3, and 6 months following MAT. Validated outcome measures for pain, function, effusion, knee range of motion, and gait kinetics were collected at these same timepoints. To develop a prognostic panel of biomarkers, biomarker data from the 1-month and 3-month post-MAT surgery timepoints were used to model 6-month outcomes. A diagnostic panel of biomarkers was developed using biomarker data from the 6-month post-MAT surgery to model 6-month outcomes.Results:Across prognostic biomarker panels, serum biomarkers were mainly represented. A panel including serum IL-6, IL-8, IL-10, and IL-18 had strong model fit for prognostication of the gait kinetics outcome, operated limb %Total Pressure Index (%TPI) (R2=.45). Whereas, a biomarker panel including serum CTX-II and OPG had strong model fit for prognostication of the primary pain-related outcome, VAS pain (R2=.52). Across diagnostic biomarker panels, a panel including serum MMP-1 and MMP-3 and urine PINP and TIMP-1 had strong model fit as diagnostic biomarkers for %TPI (R2=.86). Whereas, a panel including urine CTX-I, CTX-II, IL-8, MMP-2, and TIMP-1 had strong model fit as diagnostic biomarkers for VAS pain (R2=.44).Conclusions:Biomarker panels of selected serum and/or urine proteins highly correlate with clinically-relevant metrics for pain and function outcomes in a preclinical model of meniscus allograft transplantation.

Correlation of serum amyloid A1 and interleukin-1beta in response to anti-tubercular therapy

BackgroundHost biomarkers are needed to monitor the response to anti-tubercular therapy (ATT) for ensuring effective therapy and preventing drug-resistant tuberculosis. We sought to find the correlation between the serum levels of SAA1 and IL-1beta in response to ATT in adult patients with pulmonary TB (PTB) or extra-pulmonary TB (EPTB). MethodsBlood samples of 32 patients with PTB and 28 patients with EPTB were analyzed. The blood samples were collected at baseline, two months and six months following treatment initiation. SAA1 and IL-1beta levels were measured by enzyme linked immunosorbent assay (ELISA). ResultsIn the PTB group, the mean levels of SAA1 decreased significantly (p <0.001) after the intensive phase (two months) and continuous phase (six months) of ATT in comparison with the baseline value. IL-1beta values also decreased significantly (p = 0.005) after the intensive phase (two months) compared with the baseline values. In the EPTB group, there was a significant reduction in the mean serum level of SAA1 (p <0.001) and IL-1beta (p = 0.001) after the intensive phase (two months) in comparison with the baseline value, whereas the reduction at six months was not significant. ConclusionsSAA1 and IL-1beta may be useful potential treatment-monitoring biomarkers, especially in the intensive phase of therapy for both PTB and EPTB.

High Serum Levels of Wnt Signaling Antagonist Dickkopf-Related Protein 1 Are Associated with Impaired Overall Survival and Recurrence in Esophageal Cancer Patients.

Dickkopf-related protein 1 (DKK1), an antagonist of the canonical Wnt pathway, has received tremendous attention over the past years as its dysregulation is said to be critically involved in a wide variety of gastrointestinal cancers. However, the potential clinical implications of DKK1 remain poorly understood. Although multimodal treatment options have been implemented over the past years, esophageal cancer (EC) patients still suffer from poor five-year overall survival rates ranging from 15% to 25%. Especially prognostic factors and biomarkers for risk stratification are lacking to choose the most beneficial treatment out of the emerging landscape of different treatment options. In this study, we analyzed the serum DKK1 (S-DKK1) levels of 91 EC patients prior to surgery in a single center study at the University Medical Center Hamburg-Eppendorf by enzyme-linked immunosorbent assay. High levels of S-DKK1 could be especially observed in patients suffering from esophageal adenocarcinoma which may promote the hypothesis of a crucial role of DKK1 in inflammation. S-DKK1 levels of ≥5800 pg/mL were shown to be associated with unfavorable five-year survival rates and the presence of CTCs. Interestingly, significantly lower S-DKK1 levels were detected in patients after neoadjuvant treatment, implying that S-DKK1 may serve as a useful biomarker for treatment monitoring. Multivariate analysis identified S-DKK1 as an independent prognostic marker with respect to overall survival in EC patients with a hazard ratio of 2.23. In conclusion, our data implicate a negative prognostic role of DKK1 with respect to the clinical outcome in EC patients. Further prospective studies should be conducted to implement S-DKK1 into the clinical routine for risk stratification and treatment monitoring.

Untargeted Plasma Metabolomic Profiling in Patients with Major Depressive Disorder Using Ultra-High Performance Liquid Chromatography Coupled with Mass Spectrometry.

Major depressive disorder (MDD) is a neuropsychiatric illness with an increasing incidence and a shortfall of efficient diagnostic tools. Interview-based diagnostic tools and clinical examination often lead to misdiagnosis and inefficient systematic treatment selection. Diagnostic and treatment monitoring biomarkers are warranted for MDD. Thus, the emerging field of metabolomics is a promising tool capable of portraying the metabolic repertoire of biomolecules from biological samples in a minimally invasive fashion. Herein, we report an untargeted metabolomic profiling performed in plasma samples of 11 MDD patients, at baseline (MDD1) and at 12 weeks following antidepressant therapy with escitalopram (MDD2), and in 11 healthy controls (C), using ultra-high performance liquid chromatography coupled with electrospray ionization-quadrupole-time of flight-mass spectrometry (UHPLC-QTOF-(ESI+)-MS). We found two putative metabolites ((phosphatidylserine PS (16:0/16:1) and phosphatidic acid PA (18:1/18:0)) as having statistically significant increased levels in plasma samples of MDD1 patients compared to healthy subjects. ROC analysis revealed an AUC value of 0.876 for PS (16:0/16:1), suggesting a potential diagnostic biomarker role. In addition, PS (18:3/20:4) was significantly decreased in MDD2 group compared to MDD1, with AUC value of 0.785.

Surveillance and Monitoring Techniques for HPV-Related Head and Neck Squamous Cell Carcinoma: Circulating Tumor DNA.

Human papilloma virus (HPV) related head and neck cancer is rising in prevalence, preferentially affecting young patients and imparting long term toxicities. Despite this, there are no screening tests or clinical biomarkers for treatment monitoring. HPV circulating tumor DNA (HPV ctDNA) represents a novel circulating biomarker which may provide real-time assessment of tumor response to therapy and recurrence. Early work suggests the promise of this assay as a predictive biomarker in numerous clinical settings, namely risk of recurrence after chemoradiation in locally advanced disease. Advancement of these findings to the clinic will require a collaborative effort in the field, including technical harmonization of assay testing characteristics, understanding of the normal kinetics in patients being treated with standard of care therapies, and appropriately designed phase III trials prior to implementation in the clinic. If successful, HPV ctDNA has the potential to revolutionize clinical trial treatment paradigms and transform patient care.

Longitudinal Changes of Circulating miRNAs During Bisphosphonate and Teriparatide Treatment in an Animal Model of Postmenopausal Osteoporosis.

ABSTRACTMicroRNAs regulate bone homeostasis, and circulating microRNAs have been proposed as novel bone biomarkers. The effect of anti‐osteoporotic treatment on circulating microRNAs has not been described in detail. Therefore, we performed a comprehensive analysis of microRNA serum levels in ovariectomized (OVX) and sham‐operated (SHAM) rats over 12 weeks of antiresorptive or osteoanabolic treatment. Forty‐two Sprague Dawley rats underwent SHAM surgery (n = 10) or ovariectomy (n = 32). After 8 weeks, OVX rats were randomized to antiresorptive treatment with zoledronate (n = 11), osteoanabolic treatment with teriparatide (n = 11), or vehicle treatment (n = 10). Serum samples were collected at weeks 8, 12, 16, and 20 after surgery. A total of 91 microRNAs were analyzed by RT‐qPCR in serum samples collected at week 20. Based on the results, 29 microRNAs were selected for longitudinal analysis at all four study time points. Changes in bone mineral density and microstructure were followed up by in vivo micro‐CT and ex vivo nano‐CT. Ovariectomy resulted in the loss of trabecular bone, which was reversed by osteoanabolic and antiresorptive treatment. Differential expression analysis identified 11 circulating miRNAs that were significantly regulated after treatment. For example, miR‐107 and miR‐31‐5p increased in vehicle‐treated OVX animals, whereas they decreased during teriparatide treatment. Additional miRNAs were identified that showed significant correlations to bone microstructure or bone miRNA expression, including miR‐203a‐3p, which exhibited a significant negative correlation to vertebral and tibial trabecular bone volume fraction (%). Longitudinal analysis confirmed eight microRNAs with significant changes in serum over time that were prevented by teriparatide and zoledronate treatment (miR‐34a‐5p, miR‐31‐5p, miR‐30d‐3p, miR‐378a‐5p) or teriparatide treatment only (miR‐375‐3p, miR‐183‐5p, miR‐203a‐3p, miR‐203b‐3p). Gene target network analysis identified WNT and Notch signaling as the main signaling pathways controlled by these miRNAs. Thus, ovariectomy results in time‐dependent deregulation of circulating miRNAs compared with SHAM animals. Anti‐osteoporotic treatments can rescue this effect, showing that bone‐related miRNAs might act as novel biomarkers for treatment monitoring. © 2021 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR).

Decline in serum progastrin-releasing peptide predicts the response of patients with small cell lung cancer to chemotherapy.

The utility of serum progastrin-releasing peptide (ProGRP) and neuron-specific enolase (NSE) as biomarkers for treatment monitoring and as prognostic factors was investigated in small cell lung cancer (SCLC) patients. Patients were first diagnosed pathologically at the First Affiliated Hospital of the University of Science and Technology of China and had their serum ProGRP and NSE levels measured using an electrochemiluminescence immunoassay. A total of 120 SCLC patients were enrolled. In responsive patients, ProGRP levels decreased significantly following two cycles of chemotherapy and continued to decline over the course of treatment. However, this decrease in ProGRP levels was not observed in non-responsive patients. Changes in ProGRP levels were more accurate than changes in NSE levels for monitoring the effects of chemotherapy in patients with SCLC. Following two treatment cycles or after the occurrence of drug resistance, changes in ProGRP levels in patients with low ProGRP levels at the time of diagnosis were not notably, regardless of whether or not patients were responders. The area under the receiver operating characteristic curve of the decline in ProGRP levels as a therapeutic biomarker of SCLC was 0.9643, and the cut-off value was 55.02%. A decline in ProGRP levels maybe a good predictor of objective response to chemotherapy in patients with SCLC with higher ProGRP levels at diagnosis. This model is expected to replace or be combined with imaging to predict chemotherapeutic treatment effects in patients with SCLC.