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Background: Hepatorenal syndrome (HRS) bears a very poor prognosis with unmet need for safe and effective therapies. This systematic review and meta-analysis aimed to re-assess safety and efficacy of terlipressin versus placebo or noradrenaline for HRS, based on previous randomized controlled trials (RCTs). Methods: PubMed, EMBASE, MEDLINE (OvidSP) and Cochrane registers were searched for trials reporting HRS treatment by terlipressin or noradrenaline. Search terms included: "hepatorenal syndrome", "terlipressin", "noradrenaline", and corresponding synonyms. Comparisons between terlipressin, noradreanaline, placebo and albumin were included. Meta-analysis was conducted for treatment response (both HRS reversal and complete response), mortality and adverse events. Results: 15 RCTs were included, enrolling 1236 HRS patients (type 1: 1166, type 2: 70). Treatment with terlipressin+albumin resulted in significantly higher treatment response than placebo+albumin or albumin alone (risk ratio [RR]:2.75, 95% confidence interval [CI]:1.96 to 3.84; I2 = 28%, p = 0.23; n = 6). Noradrenaline was equally effective in treatment response compared to terlipressin (RR:1.19, 95% CI:0.96 to 1.46; I2 = 16%, p = 0.31; n = 7), but trials were limited by its non-blind design and small size. Sensitivity analysis showed no survival benefit with terlipressin compared to either placebo (RR:1.03, 95% CI:0.83 to 1.28; I2 = 0%, p = 0.72; n = 3) or noradreanline (RR:0.83, 95% CI:0.69 to 1.00; I2 = 4%, p = 0.39; n = 7) at 30 days of follow-up. Terlipressin carried higher risk of treatment-related adverse events compared to either placebo (RR:2.92, 95% CI:1.48 to 5.77; I2 = 0%, p = 0.75; n = 3) or noradrenaline (RR:2.45, 95% CI:1.37 to 4.37; I2 = 0%, p = 0.92; n = 5). Conclusion: Terlipressin is superior to placebo, and comparable to noradreanline in treatment response, but survival benefit is lacking. Noradrenaline, with low certainty, may be a better alternative for HRS.

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BACKGROUND: Tuberculosis (TB) is a bacterial infection that usually affects the lungs, although it can also affect other parts of the body. Vitamin D deficiency and response to treatment have been demonstrated in patients with active TB in several studies, but not in MDR-TB patients, which is a new observation in the present study. OBJECTIVE: To study the time to initial sputum culture conversion and to associate baseline vitamin D levels and response to treatment in patients with PTB Cat I and MDR-TB. METHODS: A total of 897 North Indian participants were recruited and divided into three groups: treatment-naïve PTB Cat I, MDR-TB, and healthy controls. Serum biochemistry, including 25-hydroxyvitamin D and calcium, was measured in all participants with PTB, Cat I, and MDR-TB. RESULTS: PTB Cat I patients had high bacillary load grading at baseline compared to 2nd month followed by 6th month of treatment. More severe chest radiographic features, such as cavitation and the presence of bilateral disease at baseline. Mean sputum smear conversion times were 0.95 ± 0.7 months and culture conversion to negative occurred at a mean time of 0.8 ± 0.7 in PTB Cat I patients compared to MDR-TB patients on average sputum smear and time of 2.4 ± 3 months. Significantly lower mean serum 25-hyroxyvitamin D concentration was found in the 6th month than in the 2nd month and baseline in PTB Cat I. CONCLUSION: Low serum vitamin D deficiency was observed in both groups during treatment and is one of the important factors responsible for susceptibility to TB in both groups; however, its significance is uncertain. Patients with continuous positive sputum for multidrug-resistant tuberculosis (MDR-TB) had a worse prognosis than those with sputum bacteriology conversion. Two months into a treatment regimen, sputum smear conversions may be a useful indicator of an MDR-TB patient's prognosis.

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Antituberculosos , Esputo , Tuberculosis Resistente a Múltiples Medicamentos , Tuberculosis Pulmonar , Deficiencia de Vitamina D , Vitamina D , Humanos , Femenino , Masculino , Vitamina D/sangre , Vitamina D/análogos & derivados , Vitamina D/uso terapéutico , Tuberculosis Resistente a Múltiples Medicamentos/tratamiento farmacológico , Tuberculosis Resistente a Múltiples Medicamentos/sangre , Adulto , India/epidemiología , Antituberculosos/uso terapéutico , Esputo/microbiología , Tuberculosis Pulmonar/tratamiento farmacológico , Tuberculosis Pulmonar/sangre , Deficiencia de Vitamina D/tratamiento farmacológico , Deficiencia de Vitamina D/sangre , Deficiencia de Vitamina D/complicaciones , Persona de Mediana Edad , Resultado del Tratamiento , Calcio/sangre , Adulto Joven , Estudios de Casos y Controles , Mycobacterium tuberculosis/aislamiento & purificación

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BACKGROUND: Primary biliary cholangitis (PBC) is a progressive autoimmune liver disease. An inadequate response to ursodeoxycholic acid (UDCA) poses a high risk of progression toward end-stage liver disease. Gut dysbiosis has been implicated in PBC. Here, we aimed to investigate microbial signatures that permit risk stratification and provide mechanistic insights into novel therapies for PBC. METHODS: We prospectively recruited UDCA treatment-naive patients with PBC and performed metagenomic sequencing and metabolomic profiling using stool and serum samples obtained before (n = 132) and after (n = 59) treatment. PBC microbiome subtypes were identified using unsupervised machine learning methods and validated in two independent cohorts. FINDINGS: PBC baseline metagenomes clustered into two community subtypes characterized by varying abundances of Clostridia taxa. Compared with Clostridialow microbiomes, Clostridiahigh microbiomes were more similar to healthy controls. Notably, patients in the Clostridialow subtype exhibited a 2-fold higher UDCA non-response rate compared to those in the Clostridiahigh subtype (41% vs. 20%, p = 0.015). Integrative analysis of metagenomic and metabolomic data revealed divergent functional modules and metabolic activities between the two metacommunities. In particular, anaerobic fermentation and the production of bioactive metabolites, including tryptophan derivatives and secondary bile acids, crucial for immune regulation and gut barrier maintenance, were markedly diminished in the Clostridialow subtype. Moreover, UDCA administration reconfigured the fecal microbial and metabolic profiles only in the Clostridiahigh group. Importantly, the microbiome subtypes and their associations with UDCA response were reproducible in two independent treatment-naive PBC cohorts. CONCLUSIONS: Characterizing baseline microbiota patterns may enable the prediction of treatment outcomes in PBC and facilitate personalized treatment strategies. FUNDING: This research was mainly supported by the National Natural Science Foundation of China.

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BACKGROUND: Whether structured exercise therapy improves chemotherapy delivery, tolerability, and tumor response is unclear. METHODS: This was a secondary analysis of a phase 2 trial investigating exercise therapy (n = 72) versus usual care (n = 72) in patients with primary breast cancer. Exercise therapy comprised individualized treadmill walking three times weekly for 20-50 minutes per session at 55%-100% of pretreatment exercise capacity. Chemotherapy delivery was assessed according to the relative dose intensity (RDI), tolerability was assessed according to patient-reported outcomes and blood laboratory values, and response was assessed based on the pathologic complete response rate in patients who received neoadjuvant chemotherapy. RESULTS: In the exercise therapy group, 51 patients (71%) reached 100% RDI (median, 100%; interquartile range, 100%-100%) compared with 41 patients (57%) in the usual care group (median, 100%; interquartile range, 95%-100%; p = .08). Tolerability was similar in both groups; the rates of grade 3 or higher neutropenia and anemia were 22% versus 39% and 7% versus 10% in the exercise and usual care groups, respectively. In patients who received anthracyclines (n = 104), 41 (77%) had 100% chemotherapy RDI in the exercise therapy group versus 29 (57%) in the usual care group (p = .026). In the neoadjuvant chemotherapy subgroup (n = 51 tumors), the postneoadjuvant therapy (yp) pathologic complete response (ypT0ypN0) rate was 27% (95% confidence interval, 12%-50%) in the exercise therapy group compared with 28% (95% confidence interval, 13%-47%) in the usual care group (p > .9). CONCLUSIONS: In patients with primary breast cancer, exercise therapy was associated with improved delivery of anthracycline-based chemotherapy. Although exercise therapy was not significantly associated with tumor response, effects varied by tumor subtype (trial registration: Clinicaltrials.gov identifier NCT01943695).

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Gastric cancer is a major health concern worldwide. The survival rate of Gastric cancer greatly depends on the stage at which it is diagnosed. Early diagnosis is critical for improving survival outcomes. To improve the chances of early diagnosis, regular screening tests, such as an upper endoscopy or barium swallow, are recommended for individuals at a higher risk due to factors like family history or a previous diagnosis of gastric conditions. Biomarkers can be detected and measured using non-invasive methods such as blood tests, urine tests, breath analysis, or imaging techniques. These non-invasive approaches offer many advantages, including convenience, safety, and cost-effectiveness, making them valuable tools for disease diagnosis, monitoring, and research. Biomarker-based tests have emerged as a useful tool for identifying gastric cancer early, monitoring treatment response, assessing the recurrence risk, and personalizing treatment plans. In this current review, we have explored both classical and novel biomarkers for gastric cancer. We have centralized their potential clinical application and discussed the challenges in Gastric cancer research.

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BACKGROUND: The effects of panic disorder (PD) and pharmacotherapy on brain functional hubs in drug-free patients, and the utility of their degree centrality (DC) in diagnosing and predicting treatment response (TR) for PD, remained unclear. AIMS: This study aimed to assess the effects of PD and paroxetine on brain functional hubs in drug-free patients and to identify neuroimaging biomarkers for diagnosing and predicting TR in patients with PD. METHODS: Imaging data from 54 medication-free PD patients and 54 matched healthy controls (HCs) underwent DC and functional connectivity (FC) analyses before and after a 4-week paroxetine treatment. Diagnosis and prediction of TR models for PD were constructed using support vector machine (SVM) and support vector regression (SVR), with DC as features. RESULTS: Patients with PD showed aberrant DC and FC in the anterior cingulum, temporal, and occipital areas compared with HCs at baseline. After treatment, DC of the patients increased in the calcarine cortex, lingual gyrus, and cerebellum IV/V, along with improved clinical symptoms. Utilizing voxel-wise DC values at baseline, the SVM effectively distinguished patients with PD from HCs with an accuracy of 83.33%. In SVR, the predicted TR significantly correlated with the observed TR (correlation coefficient (r) = 0.893, Mean Squared Error = 0.009). CONCLUSION: Patients with PD exhibited abnormal DC and FC, notably in the limbic network, temporal, and occipital regions. Paroxetine ameliorated patients' symptoms while altering their brain FC. SVM and SVR models, utilizing baseline DC, effectively distinguished the patients from HCs and accurately predicted TR.

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OBJECTIVES: To assess the efficacy and safety of preoperative neoadjuvant everolimus in renal angiomyolipomas (AML) patients with or without Tuberous Sclerosis Complex (TSC). MATERIALS AND METHODS: This multi-institutional retrospective study enrolled renal AML patients who underwent partial nephrectomy (PN) or total nephrectomy after receiving at least 1 month of pre-operative everolimus. Imaging evaluations were collected before and after treatment, along with demographic, surgical, and follow-up information. The primary outcome was tumor volume reduction of ≥25%, with additional outcomes including recurrence, perioperative outcomes, renal function, and safety. RESULTS: From January 2015 to July 2022, 68 renal AML patients were studied-41 with TSC and 27 without. During everolimus treatment, 61.0% (25/41) of TSC patients and 44.4% (12/27) of non-TSC patients achieved tumor reduction of ≥25%. Additionally, 41.5% (17/41) of TSC patients and 18.5% (5/27) of non-TSC patients achieved a ≥ 50% reduction. Three TSC patients and 1 non-TSC patient discontinued treatment due to side-effects. Most patients (92.7% TSC, 85.2% non-TSC) underwent PN. After everolimus treatment, the necessary total nephrectomy decreased to 41.2% (7/17) from baseline. Postoperatively, 1 grade 3 and 3 grade 2 complications occurred, with no grade 4 or 5 complications. After a median follow-up of 24 months, only 1 TSC patient recurred with a diameter >3 cm. Retrospective nature is the major limitation of this study. CONCLUSION: Everolimus was effective and well-tolerated in neoadjuvant treatment for renal AML, especially in TSC patients. This neoadjuvant combination strategy of everolimus and PN could effectively controls recurrence and preserves renal function.

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Angiomiolipoma , Everolimus , Neoplasias Renales , Terapia Neoadyuvante , Nefrectomía , Esclerosis Tuberosa , Humanos , Everolimus/uso terapéutico , Everolimus/administración & dosificación , Everolimus/efectos adversos , Angiomiolipoma/tratamiento farmacológico , Angiomiolipoma/patología , Femenino , Masculino , Estudios Retrospectivos , Neoplasias Renales/tratamiento farmacológico , Neoplasias Renales/patología , Neoplasias Renales/cirugía , Persona de Mediana Edad , Terapia Neoadyuvante/métodos , Esclerosis Tuberosa/complicaciones , Esclerosis Tuberosa/tratamiento farmacológico , Adulto , Resultado del Tratamiento , Anciano

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INTRODUCTION: Lymphocyte depletion via anti-CD52 monoclonal antibody (mAb) therapy is an effective treatment strategy for relapsing-remitting multiple sclerosis (MS) but is associated with infusion/injection-associated reactions (IARs) and autoimmune-related adverse events (AEs). Gatralimab is a next-generation humanized anti-CD52 mAb. METHODS: Two first-in-human trials were conducted in participants with progressive MS to assess the pharmacodynamics, pharmacokinetics, and safety of gatralimab administered via subcutaneous (SC) and intravenous (IV) routes, and to determine the effect of different comedication regimes on IARs to SC gatralimab. A Phase 1 trial (NCT02282826) included double-blind, placebo-controlled sequential ascending single IV (1, 3.5, and 12 mg) and SC (12, 36, and 60 mg) dose groups. A Phase 1b trial (NCT02977533) involved five groups who received SC gatralimab (36, 48, or 60 mg) and different comedications. A long-term safety (LTS) study (NCT02313285) examined safety and pharmacodynamics over 4 years. RESULTS: Gatralimab produced depletion of lymphocytes (dose-dependently) and CD4+ regulatory T cells, with partial repopulation to normal values by approximately 12 months. Peak serum gatralimab concentrations followed dose-proportionality and were delayed by 6.0-7.5 days following SC administration. Treatment-emergent AEs, including IARs, were reported for most participants but were generally of mild or moderate severity, and treatment-emergent serious AEs were mostly MS-related. Methylprednisolone and antihistamine comedications were associated with reduced incidence of fevers and skin and subcutaneous tissue AEs, respectively. During the LTS study, one participant (3.0%) experienced an autoimmune-related AE (Basedow's disease), and subsequently died from pulmonary sepsis deemed unrelated to gatralimab by the investigator. CONCLUSIONS: These data show that gatralimab achieves the desired pharmacodynamic effect of lymphocyte depletion followed by repopulation, and has an acceptable safety profile, including low risk of non-MS autoimmunity. Although gatralimab is no longer in development for MS, insights from these trials may inform the development of comedication regimes of future anti-CD52 mAbs and subcutaneous formulations of other lymphocyte-depleting mAbs. TRIAL REGISTRATION: NCT02282826, NCT02977533, NCT02313285.

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BACKGROUND: The objectives of this study were to examine the association of psychiatric comorbidities and patient characteristics with treatment change and response as well as to assess the association between treatment change and healthcare resource utilization (HCRU) among adult patients with attention-deficit/hyperactivity disorder (ADHD) and psychiatric comorbidities. METHODS: De-identified electronic health records from the NeuroBlu Database (2002-2021) were used to select patients ≥ 18 years with ADHD who were prescribed ADHD-specific medication. The index date was set as the first prescription of ADHD medication. The outcomes were treatment change (discontinuation, switch, add-on, or drop) and HCRU (inpatient, outpatient, composite) within 12 months of follow-up. Cox proportional-hazard model was used to assess the association between clinical and demographic patient characteristics and treatment change, while generalized linear model with negative binomial distribution and log link function was used to assess the association between key risk factors linked to treatment change and HCRU rates. RESULTS: A total of 3,387 patients with ADHD were included (ADHD only: 1,261; ADHD + major depressive disorder (MDD): 755; ADHD + anxiety disorder: 467; ADHD + mood disorder: 164). Nearly half (44.8%) of the study cohort experienced a treatment change within the 12-month follow-up period. Treatment switch and add-on were more common in patients with ADHD and comorbid MDD and anxiety disorder (switch: 18.9%; add-on: 20.5%) compared to other cohorts (range for switch: 8.5-13.6%; range for add-on: 8.9-12.1%) Survival analysis demonstrated that the probability of treatment change within 12 months from treatment initiation in the study cohort was estimated to be 42.4%. Outpatient visit rates statistically significantly increased from baseline (mean [SD] 1.03 [1.84] visits/month) to 3 months post-index (mean [SD] 1.62 [1.91] visits/month; p < 0.001), followed by a gradual decline up to 12 months post-index. Being prescribed both a stimulant and a non-stimulant at index date was statistically significantly associated with increased risk of treatment change (adjusted hazard ratio: 1.64; 95% CI: 1.13, 2.38; p = 0.01). CONCLUSIONS: This real-world study found that treatment change was common among patients with ADHD and psychiatric comorbidities. These findings support the need for future studies to examine the unmet medical and treatment needs of this complex patient population.

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Trastorno por Déficit de Atención con Hiperactividad , Comorbilidad , Registros Electrónicos de Salud , Humanos , Trastorno por Déficit de Atención con Hiperactividad/epidemiología , Trastorno por Déficit de Atención con Hiperactividad/tratamiento farmacológico , Femenino , Masculino , Adulto , Estados Unidos/epidemiología , Bases de Datos Factuales , Persona de Mediana Edad , Adulto Joven , Aceptación de la Atención de Salud/estadística & datos numéricos , Trastornos Mentales/epidemiología , Estimulantes del Sistema Nervioso Central/uso terapéutico , Modelos de Riesgos Proporcionales

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AIM: To investigate oscillatory networks in bipolar depression, effects of a home-based tDCS treatment protocol, and potential predictors of clinical response. METHODS: 20 participants (14 women) with bipolar disorder, mean age 50.75 ±â€¯10.46 years, in a depressive episode of severe severity (mean Montgomery-Åsberg Rating Scale (MADRS) score 24.60 ±â€¯2.87) received home-based transcranial direct current stimulation (tDCS) treatment for 6 weeks. Clinical remission defined as MADRS score < 10. Resting-state EEG data were acquired at baseline, prior to the start of treatment, and at the end of treatment, using a portable 4-channel EEG device (electrode positions: AF7, AF8, TP9, TP10). EEG band power was extracted for each electrode and phase locking value (PLV) was computed as a functional connectivity measure of phase synchronization. Deep learning was applied to pre-treatment PLV features to examine potential predictors of clinical remission. RESULTS: Following treatment, 11 participants (9 women) attained clinical remission. A significant positive correlation was observed with improvements in depressive symptoms and delta band PLV in frontal and temporoparietal regional channel pairs. An interaction effect in network synchronization was observed in beta band PLV in temporoparietal regions, in which participants who attained clinical remission showed increased synchronization following tDCS treatment, which was decreased in participants who did not achieve clinical remission. Main effects of clinical remission status were observed in several PLV bands: clinical remission following tDCS treatment was associated with increased PLV in frontal and temporal regions and in several frequency bands, including delta, theta, alpha and beta, as compared to participants who did not achieve clinical remission. The highest deep learning prediction accuracy 69.45 % (sensitivity 71.68 %, specificity 66.72 %) was obtained from PLV features combined from theta, beta, and gamma bands. CONCLUSIONS: tDCS treatment enhances network synchronization, potentially increasing inhibitory control, which underscores improvement in depressive symptoms. Baseline EEG-based measures might aid predicting clinical response.

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Glioblastomas are the most common primary malignant grade 4 tumors of the central nervous system (CNS). The treatment and management of such tumors requires a multidisciplinary approach and nuclear medicine techniques play an important role in this process. Glioblastoma, which recurs despite current treatments and becomes resistant to treatments, is among the tumors with the lowest survival rate, with a survival rate of approximately 8 months. Currently, the standard treatment of glioblastoma is adjuvant chemoradiotherapy after surgical resection. There have been many recent advances in the field of Nuclear Medicine in glioblastoma. PET scans are critical in determining tumor localization, pre-surgical planning, evaluation of post-treatment response and detection of recurrence. Advances in the treatment of glioblastoma and a better understanding of the biological characteristics of the disease have contributed to the development of nuclear medicine techniques. This review, in addition to other studies, is intended as a general imaging summary guide and includes some new expressions discovered in glioblastoma. This review discusses recent advances in nuclear medicine in glioblastoma.

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BACKGROUND: This study aimed to assess the distribution of esophageal inflammation in patients with eosinophilic esophagitis (EoE) and its impact on diagnosis and outcome. AIMS AND METHODS: Data from consecutive adult EoE patients who were followed-up at four Italian referral centers from October 2022 to October 2023 were retrospectively collected. RESULTS: One hundred forty-nine patients were included. Proximal EoE was observed in 8.1 % of patients; distal EoE in 27.5 %; and diffuse EoE in 64.4 %. Allergic rhinitis was more prevalent in distal and diffuse than proximal EoE (72.5 % vs. 61.5 % vs 33.3 %; P = 0.049). The prevalence of asthma, atopic dermatitis, oral allergy syndrome, and gastroesophageal reflux disease was not significantly different among the three EoE extent groups. Endoscopic inflammatory features at diagnosis were more prevalent in proximal EoE (91.7 % vs. 53.8 % distal [P = 0.01] vs. 66 % diffuse[P = 0.05]). No significant differences in fibrotic features and esophageal stenoses were observed. The clinical and histological remission rates after first-line therapy were comparable in all groups. CONCLUSION: Esophageal inflammation in EoE more frequently involves the entire esophagus, followed by isolated distal and proximal involvement. No clear correlation was observed between the histological extent of EoE at diagnosis and comorbidities or treatment response.

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BACKGROUND/OBJECTIVES: MicroRNAs (miRNAs) are involved in chemosensitivity through their biological activities in various malignancies, including pancreatic cancer (PC). However, single-miRNA models offer limited predictability of treatment response. We investigated whether a multiple-miRNA prediction model optimized via machine learning could improve treatment response prediction. METHODS: A total of 20 and 66 patients who underwent curative resection for PC after gemcitabine-based preoperative treatment were included in the discovery and validation cohorts, respectively. Patients were classified according to their response to preoperative treatment. In the discovery cohort, miRNA microarray and machine learning were used to identify candidate miRNAs (in peripheral plasma exosomes obtained before treatment) associated with treatment response. In the validation cohort, miRNA expression was analyzed using quantitative reverse transcription polymerase chain reaction to validate its ability to predict treatment response. RESULTS: In the discovery cohort, six and three miRNAs were associated with good and poor responders, respectively. The combination of these miRNAs significantly improved predictive accuracy compared with using each single miRNA, with area under the curve (AUC) values increasing from 0.485 to 0.672 to 0.909 for good responders and from 0.475 to 0.606 to 0.788 for poor responders. In the validation cohort, improved predictive performance of the miRNA combination over single-miRNA prediction models was confirmed, with AUC values increasing from 0.461 to 0.669 to 0.777 for good responders and from 0.501 to 0.556 to 0.685 for poor responders. CONCLUSIONS: Peripheral blood miRNA profiles using an optimized combination of miRNAs may provide a more advanced prediction model for preoperative treatment response in PC.

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Ex vivo assessment of drug response with conventional cell viability assays remains the standard practice for guiding initial therapeutic choices. However, such ensemble approaches fail to capture heterogeneities in treatment response and cannot identify early markers of response. Here, we leverage Raman spectroscopy (RS) as an accurate, low-cost, extraction-free, and label-free approach to track metabolic changes in cancer cells, spheroids, and organoids in response to cisplatin treatment. We identified 12 statistically significant metabolites in cells and 19 metabolites in spheroids and organoids as a function of depth. We show that the cisplatin treatment of 4T1 cells and spheroids results in a shift in metabolite levels; metabolites including nucleic acids such as DNA, 783 cm-1 with p = 0.00021 for cells; p = 0.02173 for spheroids, major amino acids such as threonine, 1338 cm-1 with p = 0.00045 for cells; p = 0.01022 for spheroids, proteins such as amide III, 1248 cm-1 with p = 0.00606 for cells; p = 0.00511 for spheroids serve as early predictors of response. Our RS findings were also applicable to canine-derived organoids, showing spatial variations in metabolic changes as a function of organoid depth in response to cisplatin. Further, the metabolic pathways such as tricarboxylic acid (TCA)/citric acid cycle and glyoxylate and dicarboxylate metabolism that drive drug response showed significant differences based on organoid depth, replicating the heterogeneous treatment response seen in solid tumors where there is a difference from the periphery to the tumor core. Our study showcases the versatility of RS as a predictive tool for treatment response applicable from cells to organotypic cultures, that has the potential to decrease animal burden and readout time for preclinical drug efficacy.

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BACKGROUND: Anti-calcitonin gene-related peptide (CGRP) monoclonal antibodies have emerged as promising therapeutic options for the treatment of chronic migraine. However, treatment response varies considerably among individuals, suggesting a potential role for genetic factors. This study aimed to identify genetic variants affecting the efficacy of anti-CGRP monoclonal antibody therapy in chronic migraine among the Han Chinese population in Taiwan to enhance treatment precision and to understand the genetic architecture of migraine. METHODS: We conducted a quantitative trait locus (QTL) association study in patients with chronic migraines from a tertiary medical center in Taiwan using the Taiwan Precision Medicine Array Chip. The patients received fremanezumab or galcanezumab for at least 12 weeks. Treatment efficacy was assessed based on the improvement rate in monthly migraine days. Genetic variants were identified, and their associations with treatment efficacy were examined through quantitative trait loci analysis, linkage disequilibrium studies, and functional annotations using the Gene Ontology database. RESULTS: Six single nucleotide polymorphisms (SNPs) relative variants were significantly associated with anti-CGRP therapy response (p < 1 × 10- 7): rs116870564, rs75244870, rs56216870, rs12938101, rs74655790, and rs149540851. These variants are located in or near genes, including LRRC4C, ATAD2B, and OXR1, which are involved in neuronal development, DNA-dependent ATPase activity, and oxidation-reduction processes, respectively. The rs116870564 variant in LRRC4C showed the strongest association (ß = -0.551, p = 6.65 × 10- 9). The functional impact of these variants is attributed to their regulatory effects on gene expression, which are influenced by intron splicing regulation, transcription factors, and changes in chromatin structure. CONCLUSION: The identification of key genetic markers associated with response to anti-CGRP therapy emphasizes the importance of genetic variability in treatment efficacy. This could lead to more personalized chronic migraine management strategies and tailored therapeutic approaches based on individual genetic profiles. Further research in larger, diverse populations is warranted to validate these findings and refine our understanding of the role of CGRP in chronic migraine pathophysiology. TRIAL REGISTRATION: Not applicable.

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Anticuerpos Monoclonales , Trastornos Migrañosos , Polimorfismo de Nucleótido Simple , Adulto , Femenino , Humanos , Masculino , Persona de Mediana Edad , Anticuerpos Monoclonales/uso terapéutico , Anticuerpos Monoclonales Humanizados/uso terapéutico , Péptido Relacionado con Gen de Calcitonina/inmunología , Enfermedad Crónica , Pueblos del Este de Asia/genética , Trastornos Migrañosos/genética , Trastornos Migrañosos/tratamiento farmacológico , Sitios de Carácter Cuantitativo , Taiwán , Resultado del Tratamiento

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BACKGROUND: Most real-world data on CGRP mAbs have been published from high-income countries such as the USA, Western countries, Japan, Korea, and Singapore. However, data from low- and middle-income countries in Southeast Asia is lacking. This is the first real-world study from Thailand to describe the efficacy of CGRP mAbs therapy in migraine patients and to analyze the response trends between episodic migraine and chronic migraine. METHODS: We conducted a single-center, real-world retrospective chart review study with an observation period of 6 months after CGRP mAbs initiation. We aim to compare treatment responses to CGRP mAbs between EM and CM patients. RESULTS: A total of 47 Thai patients were enrolled (median [IQR] age 37.2 [28.6-50.4] years; 85.1%F, 44.7% EM; 70.2% galcanezumab). There was no difference in baseline characteristics and migraine disability assessment (MIDAS) between EM and CM. The overall ≥ 30%, ≥ 50%, and ≥ 70% monthly migraine day reduction rates at 6 months were 89.0%, 71.6%, and 58.5% with higher responders in EM. There was a significant decrease in monthly headache days (MHDs) over time (adjusted ß = -0.42, p < 0.001) and a significant decrease in MIDAS score over time after the initiation of CGRP mAbs (adjusted ß = -1.12, p = 0.003). However, there were no differences between the two diagnoses. There was no significant decrease in the number of abortive medication pills used over time after the initiation of CGRP mAbs. CM had a significantly steeper trend compared to those with EM. CONCLUSION: The first real-world study in Thailand demonstrated that CGRP mAbs therapy had efficacy for migraine treatment, as evidenced by a reduction in MHDs, decreased disability, and reduced use of abortive medications. Additionally, the response pattern to CGRP mAbs therapy was similar between EM and CM in terms of MHDs reduction and MIDAS score improvement.

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Trastornos Migrañosos , Humanos , Femenino , Masculino , Tailandia , Adulto , Persona de Mediana Edad , Trastornos Migrañosos/tratamiento farmacológico , Estudios Retrospectivos , Anticuerpos Monoclonales Humanizados/uso terapéutico , Anticuerpos Monoclonales/uso terapéutico , Péptido Relacionado con Gen de Calcitonina/antagonistas & inhibidores , Péptido Relacionado con Gen de Calcitonina/inmunología , Países en Desarrollo

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Soil-transmitted helminth (STH) infections account for a significant global health burden, necessitating mass drug administration with benzimidazole-class anthelmintics, such as albendazole (ALB), for morbidity control. However, ALB efficacy shows substantial variability, presenting challenges for achieving consistent treatment outcomes. We have explored the potential impact of the baseline gut microbiota on ALB efficacy in hookworm-infected individuals through microbiota profiling and machine learning (ML) techniques. Our investigation included 89 stool samples collected from hookworm-infected individuals that were analyzed by microscopy and quantitative PCR (qPCR). Of these, 44 were negative by microscopy for STH infection using the Kato-Katz method and qPCR 21 days after treatment, which entails a cure rate of 49.4%. Microbiota characterization was based on amplicon sequencing of the V3-V4 16S ribosomal RNA gene region. Alpha and beta diversity analyses revealed no significant differences between participants who were cured and those who were not cured, suggesting that baseline microbiota diversity does not influence ALB treatment outcomes. Furthermore, differential abundance analysis at the phylum, family and genus levels yielded no statistically significant associations between bacterial communities and ALB efficacy. Utilizing supervised ML models failed to predict treatment response accurately. Our investigation did not provide conclusive insights into the relationship between gut microbiota and ALB efficacy. However, the results highlight the need for future research to incorporate longitudinal studies that monitor changes in the gut microbiota related to the infection and the cure with ALB, as well as functional metagenomics to better understand the interaction of the microbiome with the drug, and its role, if there is any, in modulating anthelmintic treatment outcomes in STH infections. Interdisciplinary approaches integrating microbiology, pharmacology, genetics and data science will be pivotal in advancing our understanding of STH infections and optimizing treatment strategies globally.

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Albendazol , Antihelmínticos , Heces , Microbioma Gastrointestinal , Infecciones por Uncinaria , Albendazol/uso terapéutico , Albendazol/farmacología , Albendazol/administración & dosificación , Humanos , Microbioma Gastrointestinal/efectos de los fármacos , Microbioma Gastrointestinal/genética , Antihelmínticos/uso terapéutico , Antihelmínticos/administración & dosificación , Infecciones por Uncinaria/tratamiento farmacológico , Heces/parasitología , Heces/microbiología , Femenino , Masculino , ARN Ribosómico 16S/genética , Adulto , Resultado del Tratamiento , Animales , Adulto Joven , Persona de Mediana Edad , Ancylostomatoidea/efectos de los fármacos , Ancylostomatoidea/genética , Adolescente , Niño

RESUMEN

Neuroblastoma is a paediatric malignancy of the sympathoadrenal or Schwann cells derived from the neural crest. Risk stratification in neuroblastoma is informed by MYCN amplification, age, stage, ploidy, and segmental chromosomal alterations. High-risk cases bear dismal overall survival. A panel of pathology and imaging modalities are utilised for diagnosis, while treatment strategies depend on the risk group. Despite this, relapse can occur in 50% of high-risk neuroblastoma patients in remission post-treatment. Liquid biopsies typically comprise the sampling of the peripheral blood and are attractive since they are less invasive than surgical tumour tissue biopsies. Liquid biopsies retrieve circulating tumour DNA and circulating tumour RNA released by tumours in addition to circulating tumour cells. These biological materials can be utilised to analyse tumour genetic alterations. Monitoring tumour-derived molecular information can assist diagnostics, targeted therapy selection, and treatment while reflecting minimal residual disease, relapse, and recurrence. This study aims to review the latest research on liquid biopsies for disease diagnosis, assessing treatment efficacy, minimal residual disease, relapse, and recurrence in neuroblastoma. A deeper understanding of the application of liquid biopsies could inform future prospective clinical trials, and in time, facilitate their routine implementation in clinical practice.

RESUMEN

OBJECTIVE: This study aimed to investigate the current status and performance of machine learning (ML) approaches in providing reproducible treatment response predictions. METHODS: This systematic review was conducted in accordance with the PRISMA statement and the CHARMS checklist. We searched PubMed, Cochrane Library, Web of Science, Scopus, and EBSCO databases for cohort studies that derived and/or validated ML models focused on predicting rheumatoid arthritis (RA) treatment response. We extracted data and critically appraised studies based on the Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis (TRIPOD) and Prediction Model Risk of Bias Assessment Tool (PROBAST) guidelines. RESULTS: From 210 unduplicated records identified by the literature search, we retained 29 eligible studies. Of these studies, 10 developed a predictive model and reported a mean adherence to the TRIPOD guidelines of 45.6 % (95 % CI: 38.3-52.8 %). The remaining 19 studies not only developed a predictive model but also validated it externally, with a mean adherence of 42.9 % (95 % CI: 39.1-46.6 %). Most of the articles had an unclear risk of bias (41.4 %), followed by a high risk of bias, which was present in 37.9 %. CONCLUSIONS: In recent years, ML methods have been increasingly used to predict treatment response in RA. Our critical appraisal revealed unclear and high risk of bias in most of the identified models, suggesting that researchers can do more to address the risk of bias and increase transparency, including the use of calibration measures and reporting methods for handling missing data. FUNDING: None.

Asunto(s)

Antirreumáticos , Artritis Reumatoide , Aprendizaje Automático , Artritis Reumatoide/tratamiento farmacológico , Humanos , Antirreumáticos/uso terapéutico , Resultado del Tratamiento , Pronóstico

RESUMEN

Objectives: Randomized controlled trials (RCTs) have shown that attention-deficit/hyperactivity disorder (ADHD) medications significantly reduce symptomatology at a group level, but individual response to ADHD medication is variable. Thus, developing prediction models to stratify treatment according to individual baseline clinicodemographic characteristics is crucial to support clinical practice. A potential valuable source of data to develop accurate prediction models is real-world clinical data extracted from electronic healthcare records (EHRs). Yet, systematic information regarding EHR data on ADHD is lacking. Methods: We conducted a comprehensive review of studies that included EHR reporting data regarding individuals with ADHD, with a specific focus on treatment-related data. Relevant studies were identified from PubMed, Ovid, and Web of Science databases up to February 24, 2024. Results: We identified 103 studies reporting EHR data for individuals with ADHD. Among these, 83 studies provided information on the type of prescribed medication. However, dosage, duration of treatment, and ADHD symptom ratings before and after treatment initiation were only reported by a minority of studies. Conclusion: This review supports the potential use of EHRs to develop treatment response prediction models but emphasizes the need for more comprehensive reporting of treatment-related data, such as changes in ADHD symptom ratings and other possible baseline clinical predictors of treatment response.