Paolo Ghensi

Dr. Paolo Ghensi

Università degli Studi di Trento, Trento, Italy
orcid

Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2019 in Cell
Verified
Journal Article
Open access
Edoardo PasolliEdoardo Pasolli
Edoardo Pasolli
FAFrancesco Asnicar
Francesco Asnicar
SMSerena Manara
Serena Manara
MZMoreno Zolfo
Moreno Zolfo
NKNicolai Karcher
Nicolai Karcher
NSNicola Segata
Nicola Segata
The body-wide human microbiome plays a role in health, but its full diversity remains uncharacterized, particularly outside of the gut and in international populations. We leveraged 9,428 metagenomes to reconstruct 154,723 microbial genomes (45% of high quality) spanning body sites, ages, countries, and lifestyles. We recapitulated 4,930 species-level genome bins (SGBs), 77% without genomes in public repositories (unknown SGBs [uSGBs]). uSGBs are prevalent (in 93% of well-assembled samples), expand underrepresented phyla, and are enriched in non-Westernized populations (40% of the total SGBs). We annotated 2.85 M genes in SGBs, many associated with conditions including infant development (94,000) or Westernization (106,000). SGBs and uSGBs permit deeper microbiome analyses and increase the average mappability of metagenomic reads from 67.76% to 87.51% in the gut (median 94.26%) and 65.14% to 82.34% in the mouth. We thus identify thousands of microbial genomes from yet-to-be-named species, expand the pangenomes of human-associated microbes, and allow better exploitation of metagenomic technologies.

15 May 2018 in Clinical Implant Dentistry and Related Research
Verified
Journal Article
Closed access
PDF file
RCRiccardo Caricasulo
Riccardo Caricasulo
LMLuciano Malchiodi
Luciano Malchiodi
Paolo GhensiPaolo Ghensi
Paolo Ghensi
GFGiuliano Fantozzi
Giuliano Fantozzi
Alessandro CucchiAlessandro Cucchi
Alessandro Cucchi

30 October 2020 in npj Biofilms and Microbiomes
Verified
Journal Article
Open access
PDF file
Paolo GhensiPaolo Ghensi
Paolo Ghensi
PMPaolo Manghi
Paolo Manghi
MZMoreno Zolfo
Moreno Zolfo
FAFederica Armanini
Federica Armanini
Edoardo PasolliEdoardo Pasolli
Edoardo Pasolli
NSNicola Segata
Nicola Segata
Dental implants are installed in an increasing number of patients. Mucositis and peri-implantitis are common microbial–biofilm-associated diseases affecting the tissues that surround the dental implant and are a major medical and socioeconomic burden. By metagenomic sequencing of the plaque microbiome in different peri-implant health and disease conditions (113 samples from 72 individuals), we found microbial signatures for peri-implantitis and mucositis and defined the peri-implantitis-related complex (PiRC) composed by the 7 most discriminative bacteria. The peri-implantitis microbiome is site specific as contralateral healthy sites resembled more the microbiome of healthy implants, while mucositis was specifically enriched for Fusobacterium nucleatum acting as a keystone colonizer. Microbiome-based machine learning showed high diagnostic and prognostic power for peri-implant diseases and strain-level profiling identified a previously uncharacterized subspecies of F. nucleatum to be particularly associated with disease. Altogether, we associated the plaque microbiome with peri-implant diseases and identified microbial signatures of disease severity.

26 July 2022 in Clinical Oral Implants Research
Verified
Journal Article
Open access
JDJan Derks
Jan Derks
AOAlberto Ortiz‐Vigón
Alberto Ortiz‐Vigón
AGAdrián Guerrero
Adrián Guerrero
MDMauro Donati
Mauro Donati
EBEriberto Bressan
Eriberto Bressan
TBTord Berglundh
Tord Berglundh
Objective: To evaluate the potential benefit of the use of a bone substitute material in the reconstructive surgical therapy of peri‐implantitis.Methods: In this multicenter randomized clinical trial, 138 patients (147 implants) with peri‐implantitis were treated surgically, randomized by coin toss to either a control (access flap surgery) or a test group (reconstructive surgery using bone substitute material). Clinical assessments, including probing pocket depth (PPD), bleeding and suppuration on probing (BOP & SOP) as well as soft tissue recession (REC), were recorded at baseline, 6 and 12 months. Marginal bone levels (MBL), measured on intra‐oral radiographs, and patient‐reported outcomes (PROs) were recorded at baseline and 12 months. No blinding to group allocation was performed. The primary outcome at 12 months was a composite measure including (i) implant not lost, (ii) absence of BOP/SOP at all aspects, (iii) PPD ≤5 mm at all aspects and (iv) ≤1 mm recession of mucosal margin on the buccal aspect of the implant. Secondary outcomes included (i) changes of MBL, (ii) changes of PPD, BOP%, and buccal KM, (iii) buccal REC and (iv) patient‐reported outcomes.Results: During follow‐up, four implants (one in the test group, three in the control group) in four patients were removed due to disease progression. At 12 months, a total of 69 implants in the test and 68 implants in the control group were examined. Thus, 16.4% and 13.5% of implants in the test and control group, respectively, met all predefined criteria of the composite outcome. PPD reduction and MBL gain were 3.7 mm and about 1.0 mm in both groups. Reduction in mean BOP% varied between 45% (test) and 50% (control), without significant differences between groups. Buccal REC was less pronounced in the test group (M = 0.7, SD = 0.9 mm) when compared to controls (M = 1.1, SD = 1.5 mm). PROs were favorable in both groups without significant differences. One case of allergic reaction to the antibiotic therapy was recorded. No other adverse events were noted.Conclusions: Surgical therapy of peri‐implantitis effectively improved the clinical and radiographic status at 12 months. While the use of a bone substitute material did not improve reductions of PPD and BOP, buccal REC was less pronounced in the test group. Patient satisfaction was high in both groups.

12 February 2013 in Clinical Oral Implants Research
Verified
Journal Article
Closed access
PDF file
LMLuciano Malchiodi
Luciano Malchiodi
Alessandro CucchiAlessandro Cucchi
Alessandro Cucchi
Paolo GhensiPaolo Ghensi
Paolo Ghensi
Dario ConsonniDario Consonni
Dario Consonni
PNPier F. Nocini
Pier F. Nocini

1 November 2016 in The International Journal of Oral and Maxillofacial Implants
Verified
Journal Article
Closed access
LMLuciano Malchiodi
Luciano Malchiodi
LBLucio Balzani
Lucio Balzani
Alessandro CucchiAlessandro Cucchi
Alessandro Cucchi
Paolo GhensiPaolo Ghensi
Paolo Ghensi
PNPier Nocini
Pier Nocini
Luciano Malchiodi, MD/Lucio Balzani, MD/Alessandro Cucchi, DDS/Paolo Ghensi, DDS/Pier Francesco Nocini, MD, DDS: Purpose: This randomized clinical trial aimed to investigate the relationships between insertion torque, implant stability quotient (ISQ), and crestal bone loss (CBL) of implants placed in fresh or 12-week healed extraction sites. Materials and Methods: Forty patients were randomly assigned to one of two groups and had one implant placed immediately (test group, n = 20) or 12 weeks after extraction (control group, n = 20) at premolar or molar sites. For all implants, insertion torque and ISQ scores at insertion and loading were recorded. Patients were followed for up to 12 months. Results: Implant success was 100% in both groups. No differences were observed concerning both ISQ at insertion and ISQ at loading. A stronger correlation was detected between ISQ at insertion and insertion torque in the postextractive group (R = 0.83), than in the delayed group (R = 0.39), while ISQ at loading and insertion torque showed no correlation. CBL at 12 months was significantly different between test (0.68 ? 0.43 mm) and control (0.40 ? 0.26 mm, P = .02) groups. Conclusion: Implant placement timing (immediate or delayed) may affect correlation between insertion torque and ISQ at insertion with ISQ at loading. While insertion torque influences ISQ at insertion, it does not affect ISQ at loading because of successful osseointegration. Postextraction and delayed implants seem to have similar ISQ at insertion and at loading, but different CBL after 12 months of follow-up because of postextraction bone remodeling.