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DATSET RELATED TO ARTICLE"short- and long-term motor outcome of STN-DBS in Parkinson's Disease focus on sex differences

Sheet with clinical raw data related to patients involved in the study reported at title

DATASET RELATED TO ARTICLE "Preoperative nonmedical predictors of functional impairment after brain tumor surgery"

The .xls datasheet contains anonymized demographic, clinical e neuropsychological evaluation data of patients involved in the study reported at title. Variables list:  <table> <tbody> <tr> <td>gender</td> </tr> <tr> <td>age</td> </tr> <tr> <td>Tumor location</td> </tr> <tr> <td>Location groups</td> </tr> <tr> <td>Eloquent area</td> </tr> <tr> <td>Tumor side</td> </tr> <tr> <td>Dimension</td> </tr> <tr> <td>KPS preoperatory</td> </tr> <tr> <td>complication</td> </tr> <tr> <td>Landriel classification</td> </tr> <tr> <td>KPS discharge</td> </tr> <tr> <td>Histology</td> </tr> <tr> <td>diagnosis</td> </tr> <tr> <td>WHO grade</td> </tr> <tr> <td>KPS follow up</td> </tr> <tr> <td>T0 Datacompilazione</td> </tr> <tr> <td>educational level</td> </tr> <tr> <td>YEARS STUDY</td> </tr> <tr> <td>MARITAL STATUS</td> </tr> <tr> <td>living situation</td> </tr> <tr> <td>T0 Personenucleofamiliare</td> </tr> <tr> <td>WORK</td> </tr> <tr> <td>T0 WHODAS12 Totalscore</td> </tr> <tr> <td>T0 WHODAS12 H1</td> </tr> <tr> <td>T0 WHODAS12 H2</td> </tr> <tr> <td>T0 WHODAS12 H3</td> </tr> <tr> <td>T0 WHODAS12 H4</td> </tr> <tr> <td>T0 WHODAS12 H5</td> </tr> <tr> <td>T0 HADS anxiety</td> </tr> <tr> <td>T0 HADS depression</td> </tr> <tr> <td>T0 HADS emotional distress</td> </tr> <tr> <td>T0 OSLO</td> </tr> <tr> <td>T0 TIPIEXTRAVERSION</td> </tr> <tr> <td>T0 TIPIAGREEABLENESS</td> </tr> <tr> <td>TO TIPICOSCIENZIOUSNESS</td> </tr> <tr> <td>TO TIPINEUROTICISM</td> </tr> <tr> <td>T0 TIPIOPENESS</td> </tr> <tr> <td>T0 RS14</td> </tr> <tr> <td>T0 RS14 Livello</td> </tr> <tr> <td>T0 EORTC global health</td> </tr> <tr> <td>T0 EORTC physical functioning</td> </tr> <tr> <td>T0 EORTC role functioning</td> </tr> <tr> <td>T0 EORTC emotional functioning</td> </tr> <tr> <td>T0 EORTC cognitive functioning</td> </tr> <tr> <td>T0 EORTC social functioning</td> </tr> <tr> <td>T0 EORTC fatigue</td> </tr> <tr> <td>T0 EORTC NV</td> </tr> <tr> <td>T0 EORTC PA</td> </tr> <tr> <td>T0 EORTC DY</td> </tr> <tr> <td>T0 EORTC SL</td> </tr> <tr> <td>T0 EORTC AP</td> </tr> <tr> <td>T0 EORTC CO</td> </tr> <tr> <td>T0 EORTC DI</td> </tr> <tr> <td>T0 EORTC FI</td> </tr> <tr> <td>T0 BN20 BNFU</td> </tr> <tr> <td>T0 BN20 BNVD</td> </tr> <tr> <td>T0 BN20 BNMD</td> </tr> <tr> <td>T0 BN20 BNCD</td> </tr> <tr> <td>T0 BN20 BNHA</td> </tr> <tr> <td>T0 BN20 BNSE</td> </tr> <tr> <td>T0 BN20 BNDR</td> </tr> <tr> <td>T0 BN20 BNIS</td> </tr> <tr> <td>T0 BN20 BNHL</td> </tr> <tr> <td>T0 BN20 BNWL</td> </tr> <tr> <td>T0 BN20 BNBC</td> </tr> <tr> <td>T0 FAS raw score</td> </tr> <tr> <td>T0 FAS standard score</td> </tr> <tr> <td>T0 FAS equivalent scores</td> </tr> <tr> <td>T0 ROWL IR raw score</td> </tr> <tr> <td>T0 ROWL IR standard score</td> </tr> <tr> <td>T0 ROWL IR equivalent score</td> </tr> <tr> <td>T0 ROWL DR raw score</td> </tr> <tr> <td>T0 ROWL DR standard score</td> </tr> <tr> <td>T0 ROWL DR equivalent score</td> </tr> <tr> <td>T0 TMTA raw score</td> </tr> <tr> <td>T0 TMTA standard score</td> </tr> <tr> <td>T0 TMTA equivalent score</td> </tr> <tr> <td>T0 TMTB raw score</td> </tr> <tr> <td>T0 TMTB standard score</td> </tr> <tr> <td>T0 TMTB equivalent score</td> </tr> <tr> <td>T0 TMTBA PG</td> </tr> <tr> <td>T0 TMTBA PC</td> </tr> <tr> <td>T0 TMTBA PE</td> </tr> <tr> <td>T0 MOCATOT raw score</td> </tr> <tr> <td>T0 MOCATOT standard score</td> </tr> <tr> <td>T0 MOCATOT equivalent score</td> </tr> <tr> <td>T0 MOCAVisuospatial PG</td> </tr> <tr> <td>T0 MOCAExecutive PG</td> </tr> <tr> <td>T0 MOCALanguage PG</td> </tr> <tr> <td>T0 MOCAOrientation PG</td> </tr> <tr> <td>T0 MOCAAttention PG</td> </tr> <tr> <td>T0 MOCAMemory PG</td> </tr> <tr> <td>T0 MOCAVisuospatial PC</td> </tr> <tr> <td>T0 MOCAExecutive PC</td> </tr> <tr> <td>T0 MOCALanguage PC</td> </tr> <tr> <td>T0 MOCAOrientation PC</td> </tr> <tr> <td>T0 MOCAAttention PC</td> </tr> <tr> <td>T0 MOCAMemory PC</td> </tr> <tr> <td>T0 MOCAVisuospatial PE</td> </tr> <tr> <td>T0 MOCAExecutive PE</td> </tr> <tr> <td>T0 MOCALanguage PE</td> </tr> <tr> <td>T0 MOCAOrientation PE</td> </tr> <tr> <td>T0 MOCAAttention PE</td> </tr> <tr> <td>T0 MOCAMemory PE</td> </tr> <tr> <td>FU Datacompilazione</td> </tr> <tr> <td>FU WHODAS12 Totalscore</td> </tr> <tr> <td>FU WHODAS12 H1</td> </tr> <tr> <td>FU WHODAS12 H2</td> </tr> <tr> <td>FU WHODAS12 H3</td> </tr> <tr> <td>FU WHODAS12 H4</td> </tr> <tr> <td>FU WHODAS12 H5</td> </tr> <tr> <td>FU HADS anxiety</td> </tr> <tr> <td>FU HADS depression</td> </tr> <tr> <td>FU HADS emotional distress</td> </tr> <tr> <td>FU EORTC global health</td> </tr> <tr> <td>FU EORTC physical functioning</td> </tr> <tr> <td>FU EORTC role functioning</td> </tr> <tr> <td>FU EORTC emotional functioning</td> </tr> <tr> <td>FU EORTC cognitive functioning</td> </tr> <tr> <td>FU EORTC social functioning</td> </tr> <tr> <td>FU EORTC fatigue</td> </tr> <tr> <td>FU EORTC NV</td> </tr> <tr> <td>FU EORTC PA</td> </tr> <tr> <td>FU EORTC DY</td> </tr> <tr> <td>FU EORTC SL</td> </tr> <tr> <td>FU EORTC AP</td> </tr> <tr> <td>FU EORTC CO</td> </tr> <tr> <td>FU EORTC DI</td> </tr> <tr> <td>FU EORTC FI</td> </tr> <tr> <td>FU BN20 BNFU</td> </tr> <tr> <td>FU BN20 BNVD</td> </tr> <tr> <td>FU BN20 BNMD</td> </tr> <tr> <td>FU BN20 BNCD</td> </tr> <tr> <td>FU BN20 BNHA</td> </tr> <tr> <td>FU BN20 BNSE</td> </tr> <tr> <td>FU BN20 BNDR</td> </tr> <tr> <td>FU BN20 BNIS</td> </tr> <tr> <td>FU BN20 BNHL</td> </tr> <tr> <td>FU BN20 BNWL</td> </tr> <tr> <td>FU BN20 BNBC</td> </tr> <tr> <td>FU FAS raw score</td> </tr> <tr> <td>FU FAS standard score</td> </tr> <tr> <td>FU FAS equivalent score</td> </tr> <tr> <td>FU ROWl IR raw score</td> </tr> <tr> <td>FU ROWL IR standard score</td> </tr> <tr> <td>FU ROWL IR equivalent score</td> </tr> <tr> <td>FU ROWL DR raw score</td> </tr> <tr> <td>FU ROWL DR standard score</td> </tr> <tr> <td>FU ROWL DR equivalent score</td> </tr> <tr> <td>FU TMTA raw score</td> </tr> <tr> <td>FU TMTA standard score</td> </tr> <tr> <td>FU TMTA equivalent score</td> </tr> <tr> <td>FU TMTB raw score</td> </tr> <tr> <td>FU TMTB standard score</td> </tr> <tr> <td>FU TMTB equivalent score</td> </tr> <tr> <td>FU TMTBA PG</td> </tr> <tr> <td>FU TMTBA PC</td> </tr> <tr> <td>FU TMTBA PE</td> </tr> <tr> <td>FU MOCATOT raw score</td> </tr> <tr> <td>FU MOCATOT standard score</td> </tr> <tr> <td>FU MOCATOT equivalent score</td> </tr> <tr> <td>FU MOCAVisuospatial PG</td> </tr> <tr> <td>FU MOCAExecutive PG</td> </tr> <tr> <td>FU MOCALanguage PG</td> </tr> <tr> <td>FU MOCAOrientation PG</td> </tr> <tr> <td>FU MOCAAttention PG</td> </tr> <tr> <td>FU MOCAMemory PG</td> </tr> <tr> <td>FU MOCAVisuospatial PC</td> </tr> <tr> <td>FU MOCAExecutive PC</td> </tr> <tr> <td>FU MOCALanguage PC</td> </tr> <tr> <td>FU MOCAOrientation PC</td> </tr> <tr> <td>FU MOCAAttention PC</td> </tr> <tr> <td>FU MOCAMemory PC</td> </tr> <tr> <td>FU MOCAVisuospatial PC A</td> </tr> <tr> <td>FU MOCAExecutive PE</td> </tr> <tr> <td>FU MOCALanguage PE</td> </tr> <tr> <td>FU MOCAOrientation PE</td> </tr> <tr> <td>FU MOCAAttention PE</td> </tr> <tr> <td>FU MOCAMemory PE</td> </tr> <tr> <td>GliomaEMeningioma</td> </tr> <tr> <td>employment status</td> </tr> <tr> <td>DeltaKPS</td> </tr> </tbody> </table>

Data set related to the article: "Gender Differences Associated with the Prognostic Value of BPIFB4 in COVID-19 Patients: A Single-Center Preliminary Study."

Abstract: In the ongoing global COVID-19 pandemic, male sex is a risk factor for severe disease and death, and the reasons for these clinical discrepancies are largely unknown. The aim of this work is to study the influence of sex on the course of infection and the differences in prognostic markers between genders in COVID-19 patients. Our cohort consisted of 64 adult patients (n = 34 men and n = 30 women) with PCR-proven SARS-CoV-2 infection. Further, a group of patients was characterized by a different severity degree (n = 8 high- and n = 8 low-grade individuals for both male and female patients). As expected, the serum concentrations of LDH, fibrinogen, CRP, and leucocyte count in men were significantly higher than in females. When serum concentrations of the inflammatory cytokines, including IL-6, IL-2, IP-10 and IL-4 and chemokines like MCP-1, were measured with multiplex ELISA, no significant differences between male and female patients were found. In COVID-19 patients, we recently attributed a new prognostic value to BPIFB4, a natural defensin against dysregulation of the immune responses. Here, we clarify that BPIFB4 is inversely related to the disease degree in men but not in women. Indeed, higher levels of BPIFB4 characterized low-grade male patients compared to high-grade ones. On the contrary, no significant difference was reported between low-grade female patients and high-grade ones. In conclusion, the identification of BPIFB4 as a biomarker of mild/moderate disease and its sex-specific activity would open an interesting field for research to underpin gender-related susceptibility to the disease.

dataset relate to article "Development and Validation of a UHPLC–MS/MS-Based Method to Quantify Cenobamate in Human Plasma Samples"

cenobamate blood concentrations measured via new method

Datset related to article "Magnetic Resonance-Guided Focused Ultrasound Thalamotomy May Spare Dopaminergic Therapy in Early-Stage Tremor-Dominant Parkinson's Disease: A Pilot Study"

clinical dataset with anonimyzed inormation on patients involved in the pilot study described at title

datset related to article "Mutations associated with hypokalemic periodic paralysis: from hotspot regions to complete analysis of CACNA1S and SCN4A genes."

VCF files of mutated HypoPP patients analysed by the NGS panel.

Datset related to article "COMORBIDITIES IN FRIEDREICH ATAXIA: INCIDENCE AND MANIFESTATIONS FROM EARLY TO ADVANCED DISEASE STAGES"

description of comorbidities in a large cohort of patient affected by friedreich ataxia

Data set related to the article: "Transfer of the longevity-associated variant of BPIFB4 gene rejuvenates immune system and vasculature by a reduction of CD38+ macrophages and NAD+ decline"

As we age, our body experiences chronic, systemic inflammation contributing to the morbidity and mortality of the elderly. The senescent immune system has been described to have a causal role in driving systemic aging and therefore may represent a key therapeutic target to prevent pathological consequences associated with aging and extend a healthy lifespan. Previous studies from our group associated a polymorphic haplotype variant in the BPIFB4 gene (LAV-BPIFB4) with exceptional longevity. Transfer of the LAV-BPIFB4 in preclinical models halted the progression of cardiovascular diseases (CVDs) and frailty by counterbalancing chronic inflammation. In the present study, we aimed to delineate the action of systemic adeno-associated viral vector-mediated LAV-BPIFB4 gene transfer (AAV-LAV-BPIFB4) on the deleterious age-related changes of the immune system and thereby the senescence-associated events occurring in C57BL/6J mice aged 26 months. Our in vivo data showed that 26-months-old mice had a higher frequency of CD45+SA-beta Gal+ immune cells in peripheral blood than young (4-months-old) C57BL/6J mice. Notably, AAVLAV-BPIFB4 gene transfer in aged mice reduced the pool of peripheral immunosenescent cells that were shown to be enriched in the spleen. In addition, the proper tuning of the immune secretory phenotype (IL1βlow, IL6low, IL10high) associated with a significant reduction in SA-beta Gal-positive area of aorta from AAV-LAV treated mice. At the functional level, the reduction of senescenceassociated inflammation ensured sustained NAD+ levels in the plasma of AAV-LAV-BPIFB4 old mice by preventing the NADase CD38 increase in F4/80+ tissue-resident macrophages and Ly6Chigh pro-inflammatory monocytes of the spleen and bone marrow. Finally, to validate the clinical implication of our findings, we showed that Long-living-individuals (LLIs, >95 years), which delay CVDs onset, especially if LAV-carriers, were characterized by high NAD+ levels. In conclusion, the new senotherapeutic action of LAV-BPIFB4 may offer a valuable therapeutic tool to control aging and reduce the burden of its pathophysiological disorders, such as CVDs.

Dataset relate to article "TOWARDS A NEW ASSESSMENT TOOL FOR CAREGIVERS OF PATIENTS WITH DISORDERS OF CONSCIOUSNESS: THE SOCIAL AND FAMILY EVALUATION SCALE (SAFE)"

FOR EVERY PARTICIPANT, THE RESPONSE AT EACH QUESTION OF THE SURVEY IS PROVIDED.

Dataset related to article "INTERHEMISPHERIC PEDIATRIC MENINGIOMA, YAP1 FUSION-POSITIVE"

Hystological , molecular and neuroradiological data

Dataset related to article "Selective Cerebrospinal Fluid Hypothermia: Bioengineering Development and In Vivo Study of an Intraventricular Cooling Device (V‑COOL)"

The database contains animal models MRI in DICOM and PNG file format.

DATASET RELATED TO ARTICLE "IBA myQA SRS Detector for CyberKnife Robotic Radiosurgery Quality Assurance"

The database contains data analysis tables and spreadsheets

Dataset related to article "Role of NODDI in the MRI Characterization of Hippocampal Abnormalities in Temporal Lobe Epilepsy"

The database contains data analysis tables and hippocampi histological images.

restrictedMar 2023View details →

Systematic Literature Review - Selected Articles Data Extraction

The files included are the following: - CSV with the raw data extracted from abstract + full-text review from the selected articles. - CSV with normalized data according to the article.

restrictedJan 2023View details →

Dataset related to article "Germline loss-of-function PAM variants are enriched in subjects with pituitary hypersecretion"

This record contains raw data related to article "Germline loss-of-function PAM variants are enriched in subjects with pituitary hypersecretion" Abstract Pituitary adenomas (PAs) are common, usually benign tumors of the anterior pituitary gland which, for the most part, have no known genetic cause. PAs are associated with major clinical effects due to hormonal dysregulation and tumoral impingement on vital brain structures. Following the identification of a loss-of-function variant (p.Arg703Gln) in the PAM gene in a family with pituitary gigantism, we investigated 299 individuals with sporadic PAs and 17 familial isolated pituitary adenomas kindreds for PAM variants. PAM encodes a multifunctional protein responsible for the essential C-terminal amidation of secreted peptides. Genetic screening was performed by germline and tumor sequencing and germline copy number variation (CNV) analysis. No germline CNVs or somatic single nucleotide variants (SNVs) were identified. We detected seven likely pathogenic heterozygous missense, truncating, and regulatory SNVs. These SNVs were found in sporadic subjects with GH excess (p.Gly552Arg and p.Phe759Ser), pediatric Cushing disease (c.-133T>C and p.His778fs), or with different types of PAs (c.-361G>A, p.Ser539Trp, and p.Asp563Gly). The SNVs were functionally tested in vitro for protein expression and trafficking by Western blotting, for splicing by minigene assays, and for amidation activity in cell lysates and serum samples. These analyses confirmed a deleterious effect on protein expression and/or function. By interrogating 200,000 exomes from the UK Biobank, we confirmed a significant association of the PAM gene and rare PAM SNVs to diagnoses linked to pituitary gland hyperfunction. Identification of PAM as a candidate gene associated with pituitary hypersecretion opens the possibility of developing novel therapeutics based on altering PAM function.

restrictedApr 2023View details →

Dataset related to article "Multicentric evaluation of a machine learning model to streamline the radiotherapy patient specific quality assurance process"

This record contains raw data related to article “Multicentric evaluation of a machine learning model to streamline the radiotherapy patient specific quality assurance process" Purpose: Patient-specific quality assurance (PSQA) is performed to ensure that modulated treatment plans can be delivered as intended, but constitutes a substantial workload that could slow down the radiotherapy process and delay the start of clinical treatments. In this study, we investigated a machine learning (ML) tree-based ensemble model to predict the gamma passing rate (GPR) for volumetric modulated arc therapy (VMAT) plans. Materials and Methods: 5622 VMAT plans from multiple treatment sites were selected from a database of Institution 1 and the ML model trained using 19 metrics. PSQA analyses were performed automatically using criteria 3%/1 mm (global normalization, absolute dose, 10% threshold) and 95% action limit. Model’s performance was evaluated on an out-of-sample test set of Institution 1 and on two independent sets of measurements collected at Institution 2 and Institution 3. Mean absolute error (MAE), as well as the model’s sensitivity and specificity, were computed. Results: The model obtained a MAE of 2.33%, 2.54% and 3.91% for the three Institutions, with a specificity of 0.90, 0.90 and 0.68, and a sensitivity of 0.61, 0.25, and 0.55, respectively. Small positive median values of the residuals (i.e., the difference between measurements and predictions) were observed for each Institution (0.95%, 1.66%, and 3.42%). Thus, the model’s predictions were, on average, close to the real values and provided a conservative estimation of the GPR. Conclusions: ML models can be integrated into clinical practice to streamline the radiotherapy workflow, but they should be center-specific or thoroughly verified within centers before clinical use.

Dataset related to article "Definition of a multi-omics signature for Esophageal Adenocarcinoma prognosis prediction "

This record contains raw data related to article “Definition of a  multi-omics signature for Esophageal Adenocarcinoma prognosis prediction " Abstract: Esophageal cancer is a highly lethal malignancy that accounts for 5% of all cancer deaths. The two main sub-types of the disease are esophageal squamous-cell carcinoma (ESCC) and esophageal adenocarcinoma (EAC). To date, most studies focused on analysing the transcriptional profile in ESCC only a few studies analysed EAC for transcriptional signatures that might be associated with diagnosis and/or prognosis. In this work we performed a single-cell RNA sequencing (scRNAseq) analysis of the CD45+ cells enriched from from tumor and matched non-tumor tissues obtained from 3 therapy-naïve patients to identify all the types of immune cells present in the tumor's immune infiltrate and their transcriptomic profiles, moreover we have analysed the whole transcriptome in a cohort of 23 patients from whom tissue biopsies were taken from tumor and matched non-tumor tissues. The transcriptional signatures derived from both types of analyses were then used to stratify a larger cohort of TCGA EAC patients showing a strong association with their prognosis. The transcriptional signatures here described have therefore proved capable of being able to predict the clinical outcome of patients and could be used to better define the prognosis in EAC after surgery and to direct patients towards effective therapies.

Data set related to the article "Predictors of Prognosis in Patients With Secondary Mitral Regurgitation Undergoing Mitral Valve Transcatheter Edge-to-Edge Repair"

This record contains raw data related to the article Predictors of Prognosis in Patients With Secondary Mitral Regurgitation Undergoing Mitral Valve Transcatheter Edge-to-Edge Repair

Data set related to the article: "SARS-CoV-2 Lysate Stimulation Impairs the Release of Platelet-like Particles and Megakaryopoiesis in the MEG-01 Cell Line."

Abstract: SARS-CoV-2 infection causes a considerable inflammatory response coupled with impaired platelet reactivity, which can lead to platelet disorders recognized as negative prognostic factors in COVID-19 patients. The virus may cause thrombocytopenia or thrombocytosis during the different disease stages by destroying or activating platelets and influencing platelet production. While it is known that several viruses can impair megakaryopoiesis by generating an improper production and activation of platelets, the potential involvement of SARS-CoV-2 in affecting megakaryopoiesis is poorly understood. To this purpose, we explored, in vitro, the impact of SARS-CoV-2 stimulation in the MEG-01 cell line, a human megakaryoblastic leukemia cell line, considering its spontaneous capacity of releasing platelet-like particles (PLPs). We interrogated the effect of heat-inactivated SARS- CoV-2 lysate in the release of PLPs and activation from MEG-01, the signaling pathway influenced by SARS-CoV-2, and the functional effect on macrophagic skewing. The results highlight the potential influence of SARS-CoV-2 in the early stages of megakaryopoiesis by enhancing the production and activation of platelets, very likely due to the impairment of STATs signaling and AMPK activity. Overall, these findings provide new insight into the role of SARS-CoV-2 in affecting megakaryocyte– platelet compartment, possibly unlocking another avenue by which SARS-CoV-2 moves.

Data set related to the article: "The longevity-associated BPIFB4 gene supports cardiac function and vascularization in ageing cardiomyopathy"

Aims The ageing heart naturally incurs a progressive decline in function and perfusion that available treatments cannot halt. However, some exceptional individuals maintain good health until the very late stage of their life due to favourable gene–environment inter- action. We have previously shown that carriers of a longevity-associated variant (LAV) of the BPIFB4 gene enjoy prolonged health spans and lesser cardiovascular complications. Moreover, supplementation of LAV-BPIFB4 via an adeno-associated viral vector im- proves cardiovascular performance in limb ischaemia, atherosclerosis, and diabetes models. Here, we asked whether the LAV- BPIFB4 gene could address the unmet therapeutic need to delay the heart’s spontaneous ageing.  Methods and results Immunohistological studies showed a remarkable reduction in vessel coverage by pericytes in failing hearts explanted from elderly patients. This defect was attenuated in patients carrying the homozygous LAV-BPIFB4 genotype. Moreover, pericytes isolated from older hearts showed low levels of BPIFB4, depressed pro-angiogenic activity, and loss of ribosome biogenesis. LAV-BPIFB4 supple- mentation restored pericyte function and pericyte-endothelial cell interactions through a mechanism involving the nucleolar protein nucleolin. Conversely, BPIFB4 silencing in normal pericytes mimed the heart failure pericytes. Finally, gene therapy with LAV-BPIFB4 prevented cardiac deterioration in middle-aged mice and rescued cardiac function and myocardial perfusion in older mice by improving microvasculature density and pericyte coverage. Conclusions We report the success of the LAV-BPIFB4 gene/protein in improving homeostatic processes in the heart’s ageing. These findings open to using LAV-BPIFB4 to reverse the decline of heart performance in older people.