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The levels of platelet-derived extracellular vesicles (pEVs) have been reported as elevated in acute ischemic stroke (IS). However, the results of studies remain equivocal. This prospective, case-control study included 168 patients with IS, 63 matched disease controls (DC), and 21 healthy controls (HC). Total pEVs concentration, the concentration of phosphatidylserine-positive pEVs (PS+pEVs), the percentage of PS+pEVs (%PS+pEVs) and the concentration of pEVs with expression of CD62P+, CD40L+, CD31+, and active form of GPIIb/IIIa receptor (PAC-1+) were assessed on days 1, 3, 10, and 90 with the Apogee A50-Micro flow cytometer. The concentrations of pEVs, PS+pEVs, and %PS+pEVs were significantly higher after IS vs. HC (p < 0.001). PS+pEVs were higher after stroke vs. controls (p < 0.01). The concentrations of pEVs with expression of studied molecules were higher on D1 and D3 after stroke vs. controls. The concentration of pEVs after platelet stimulation with ADP was significantly diminished on D3. IS most notably affects the phenotype of pEVs with a limited effect on the number of pEVs. Ischemic stroke moderately disturbs platelet microvesiculation, most notably in the acute phase, affecting the phenotype of pEVs, with a limited impact on the number of pEVs. The accumulation of α-synuclein (α-syn), an essential step in PD development and progression, is observed not only in neurons but also in glia, including astrocytes. The mechanisms regulating astrocytic α-syn level and aggregation remain unclear. More recently, it has been demonstrated that a part of α-syn spreading occurs through extracellular vesicles (EVs), although it is unknown whether this process is involved in astrocytes of PD. It is known, however, that EVs derived from the central nervous system exist in the blood and are extensively explored as biomarkers for PD and other neurodegenerative disorders. Primary astrocytes were transfected with A53T α-syn plasmid or exposed to α-syn aggregates. The level of astrocyte-derived EVs (AEVs) was assessed by nanoparticle tracking analysis and immunofluorescence. The lysosomal function was evaluated by Cathepsin assays, immunofluorescence for levels of Lamp1 and Lamp2, and LysoTracker Red staining. The Apogee assays were optimized to measure the GLT-1+ AEVs in clinical cohorts of 106 PD, 47 multiple system atrophy (MSA), and 103 healthy control (HC) to test the potential of plasma AEVs as a biomarker to differentiate PD from other forms of parkinsonism. The number of AEVs significantly increased in primary astrocytes with α-syn deposition. The mechanism of increased AEVs was partially attributed to lysosomal dysfunction. The number of α-syn-carrying AEVs was significantly higher in patients with PD than in HC and MSA. The integrative model combining AEVs with total and aggregated α-syn exhibited efficient diagnostic power in differentiating PD from HC with an AUC of 0.915, and from MSA with an AUC of 0.877. Pathological α-syn deposition could increase the astrocytic secretion of EVs, possibly through α-syn-induced lysosomal dysfunction. The α-syn-containing AEVs in the peripheral blood may be an effective biomarker for clinical diagnosis or differential diagnosis of PD. Mitochondrial dysfunction has pleiotropic effects and is frequently caused by mitochondrial DNA mutations. However, factors such as significant variability in clinical manifestations make interpreting the pathogenicity of variants in the mitochondrial genome challenging. Here, we present APOGEE 2, a mitochondrially-centered ensemble method designed to improve the accuracy of pathogenicity predictions for interpreting missense mitochondrial variants. Built on the joint consensus recommendations by the American College of Medical Genetics and Genomics/Association for Molecular Pathology, APOGEE 2 features an improved machine learning method and a curated training set for enhanced performance metrics. It offers region-wise assessments of genome fragility and mechanistic analyses of specific amino acids that cause perceptible long-range effects on protein structure. With clinical and research use in mind, APOGEE 2 scores and pathogenicity probabilities are precompiled and available in MitImpact. APOGEE 2's ability to address challenges in interpreting mitochondrial missense variants makes it an essential tool in the field of mitochondrial genetics. Extracellular vesicles (EVs) in body fluids are explored as disease biomarkers, but EV concentrations measured by flow cytometers (FCMs) are incomparable. To improve data comparability, new reference materials with physical properties resembling EVs and reference procedures are being developed. The validation of new reference materials and procedures requires biological test samples. We developed a human plasma EV test sample (PEVTES) that i) resembles subcellular particles in plasma, ii) is ready-to-use, iii) is flow cytometry-compatible, and iv) is stable. The PEVTES was prepared from human plasma of 3 fasting donors. EVs were immunofluorescently stained with antibodies against platelet-specific (CD61) and erythrocyte-specific (CD235a) antigens or lactadherin. To reduce the concentration of soluble proteins, lipoproteins, and unbound reagents, stained EVs were isolated from plasma by size-exclusion chromatography. After isolation, the PEVTES was filtered to remove remnant platelets. PEVTESs were diluted in cryopreservation agents, dimethyl sulfoxide, glycerol, or trehalose and stored at -80 °C for 12 months. After thawing, stained EV concentrations were measured with a calibrated FCM (Apogee A60-Micro). We demonstrate that the developed PEVTES resembles subcellular particles in human plasma when measured using FCM and that the concentrations of prestained platelet-derived, erythrocyte-derived, and lactadherin+ EVs in the PEVTES are stable during storage at -80 °C for 12 months when stored in trehalose. The PEVTES i) resembles subcellular particles in plasma, ii) is ready-to-use, iii) is flow cytometry-compatible, and iv) is stable. Therefore, the developed PEVTES is an ideal candidate to validate newly developed reference materials and procedures. Flow cytometry is commonly used to detect cell-derived extracellular vesicles in body fluids such as blood plasma. However, continuous and simultaneous illumination of multiple particles at or below the detection limit may result in the detection of a single event. This phenomenon is called swarm detection and leads to incorrect particle concentration measurements. To prevent swarm detection, sample dilution is recommended. Since the concentration of particles differs between plasma samples, finding the optimal sample dilution requires dilution series of all samples, which is unfeasible in clinical routine. Here we developed a practical procedure to find the optimal sample dilution of plasma for extracellular vesicle flow cytometry measurements in clinical research studies. Dilution series of 5 plasma samples were measured with flow cytometry (Apogee A60-Micro), triggered on side scatter. The total particle concentration between these plasma samples ranged from 2.5 × 109 to 2.1 × 1011 mL-1. Swarm detection was absent in plasma samples when diluted ≥1.1 × 103-fold or at particle count rates <3.0 × 103 events·s-1. Application of either one of these criteria, however, resulted in insignificant particle counts in most samples. The best approach to prevent swarm detection while maintaining significant particle counts was by combining minimal dilution with maximum count rate. To prevent swarm detection in a series of clinical samples, the measurement count rate of a single diluted plasma sample can be used to determine the optimal dilution factor. For our samples, flow cytometer, and settings, the optimal dilution factor is ≥1.1 × 102-

The levels of platelet-derived extracellular vesicles (pEVs) have been reported as elevated in acute ischemic stroke (IS). However, the results of studies remain equivocal. This prospective, case-control study included 168 patients with IS, 63 matched disease controls (DC), and 21 healthy controls (HC). Total pEVs concentration, the concentration of phosphatidylserine-positive pEVs (PS+pEVs), the percentage of PS+pEVs (%PS+pEVs) and the concentration of pEVs with expression of CD62P+, CD40L+, CD31+, and active form of GPIIb/IIIa receptor (PAC-1+) were assessed on days 1, 3, 10, and 90 with the Apogee A50-Micro flow cytometer. The concentrations of pEVs, PS+pEVs, and %PS+pEVs were significantly higher after IS vs. HC (p < 0.001). PS+pEVs were higher after stroke vs. controls (p < 0.01). The concentrations of pEVs with expression of studied molecules were higher on D1 and D3 after stroke vs. controls. The concentration of pEVs after platelet stimulation with ADP was significantly diminished on D3. IS most notably affects the phenotype of pEVs with a limited effect on the number of pEVs. Ischemic stroke moderately disturbs platelet microvesiculation, most notably in the acute phase, affecting the phenotype of pEVs, with a limited impact on the number of pEVs. The accumulation of α-synuclein (α-syn), an essential step in PD development and progression, is observed not only in neurons but also in glia, including astrocytes. The mechanisms regulating astrocytic α-syn level and aggregation remain unclear. More recently, it has been demonstrated that a part of α-syn spreading occurs through extracellular vesicles (EVs), although it is unknown whether this process is involved in astrocytes of PD. It is known, however, that EVs derived from the central nervous system exist in the blood and are extensively explored as biomarkers for PD and other neurodegenerative disorders. Primary astrocytes were transfected with A53T α-syn plasmid or exposed to α-syn aggregates. The level of astrocyte-derived EVs (AEVs) was assessed by nanoparticle tracking analysis and immunofluorescence. The lysosomal function was evaluated by Cathepsin assays, immunofluorescence for levels of Lamp1 and Lamp2, and LysoTracker Red staining. The Apogee assays were optimized to measure the GLT-1+ AEVs in clinical cohorts of 106 PD, 47 multiple system atrophy (MSA), and 103 healthy control (HC) to test the potential of plasma AEVs as a biomarker to differentiate PD from other forms of parkinsonism. The number of AEVs significantly increased in primary astrocytes with α-syn deposition. The mechanism of increased AEVs was partially attributed to lysosomal dysfunction. The number of α-syn-carrying AEVs was significantly higher in patients with PD than in HC and MSA. The integrative model combining AEVs with total and aggregated α-syn exhibited efficient diagnostic power in differentiating PD from HC with an AUC of 0.915, and from MSA with an AUC of 0.877. Pathological α-syn deposition could increase the astrocytic secretion of EVs, possibly through α-syn-induced lysosomal dysfunction. The α-syn-containing AEVs in the peripheral blood may be an effective biomarker for clinical diagnosis or differential diagnosis of PD. Mitochondrial dysfunction has pleiotropic effects and is frequently caused by mitochondrial DNA mutations. However, factors such as significant variability in clinical manifestations make interpreting the pathogenicity of variants in the mitochondrial genome challenging. Here, we present APOGEE 2, a mitochondrially-centered ensemble method designed to improve the accuracy of pathogenicity predictions for interpreting missense mitochondrial variants. Built on the joint consensus recommendations by the American College of Medical Genetics and Genomics/Association for Molecular Pathology, APOGEE 2 features an improved machine learning method and a curated training set for enhanced performance metrics. It offers region-wise assessments of genome fragility and mechanistic analyses of specific amino acids that cause perceptible long-range effects on protein structure. With clinical and research use in mind, APOGEE 2 scores and pathogenicity probabilities are precompiled and available in MitImpact. APOGEE 2's ability to address challenges in interpreting mitochondrial missense variants makes it an essential tool in the field of mitochondrial genetics. Extracellular vesicles (EVs) in body fluids are explored as disease biomarkers, but EV concentrations measured by flow cytometers (FCMs) are incomparable. To improve data comparability, new reference materials with physical properties resembling EVs and reference procedures are being developed. The validation of new reference materials and procedures requires biological test samples. We developed a human plasma EV test sample (PEVTES) that i) resembles subcellular particles in plasma, ii) is ready-to-use, iii) is flow cytometry-compatible, and iv) is stable. The PEVTES was prepared from human plasma of 3 fasting donors. EVs were immunofluorescently stained with antibodies against platelet-specific (CD61) and erythrocyte-specific (CD235a) antigens or lactadherin. To reduce the concentration of soluble proteins, lipoproteins, and unbound reagents, stained EVs were isolated from plasma by size-exclusion chromatography. After isolation, the PEVTES was filtered to remove remnant platelets. PEVTESs were diluted in cryopreservation agents, dimethyl sulfoxide, glycerol, or trehalose and stored at -80 °C for 12 months. After thawing, stained EV concentrations were measured with a calibrated FCM (Apogee A60-Micro). We demonstrate that the developed PEVTES resembles subcellular particles in human plasma when measured using FCM and that the concentrations of prestained platelet-derived, erythrocyte-derived, and lactadherin+ EVs in the PEVTES are stable during storage at -80 °C for 12 months when stored in trehalose. The PEVTES i) resembles subcellular particles in plasma, ii) is ready-to-use, iii) is flow cytometry-compatible, and iv) is stable. Therefore, the developed PEVTES is an ideal candidate to validate newly developed reference materials and procedures. Flow cytometry is commonly used to detect cell-derived extracellular vesicles in body fluids such as blood plasma. However, continuous and simultaneous illumination of multiple particles at or below the detection limit may result in the detection of a single event. This phenomenon is called swarm detection and leads to incorrect particle concentration measurements. To prevent swarm detection, sample dilution is recommended. Since the concentration of particles differs between plasma samples, finding the optimal sample dilution requires dilution series of all samples, which is unfeasible in clinical routine. Here we developed a practical procedure to find the optimal sample dilution of plasma for extracellular vesicle flow cytometry measurements in clinical research studies. Dilution series of 5 plasma samples were measured with flow cytometry (Apogee A60-Micro), triggered on side scatter. The total particle concentration between these plasma samples ranged from 2.5 × 109 to 2.1 × 1011 mL-1. Swarm detection was absent in plasma samples when diluted ≥1.1 × 103-fold or at particle count rates <3.0 × 103 events·s-1. Application of either one of these criteria, however, resulted in insignificant particle counts in most samples. The best approach to prevent swarm detection while maintaining significant particle counts was by combining minimal dilution with maximum count rate. To prevent swarm detection in a series of clinical samples, the measurement count rate of a single diluted plasma sample can be used to determine the optimal dilution factor. For our samples, flow cytometer, and settings, the optimal dilution factor is ≥1.1 × 102-

The levels of platelet-derived extracellular vesicles (pEVs) have been reported as elevated in acute ischemic stroke (IS). However, the results of studies remain equivocal. This prospective, case-control study included 168 patients with IS, 63 matched disease controls (DC), and 21 healthy controls (HC). Total pEVs concentration, the concentration of phosphatidylserine-positive pEVs (PS+pEVs), the percentage of PS+pEVs (%PS+pEVs) and the concentration of pEVs with expression of CD62P+, CD40L+, CD31+, and active form of GPIIb/IIIa receptor (PAC-1+) were assessed on days 1, 3, 10, and 90 with the Apogee A50-Micro flow cytometer. The concentrations of pEVs, PS+pEVs, and %PS+pEVs were significantly higher after IS vs. HC (p < 0.001). PS+pEVs were higher after stroke vs. controls (p < 0.01). The concentrations of pEVs with expression of studied molecules were higher on D1 and D3 after stroke vs. controls. The concentration of pEVs after platelet stimulation with ADP was significantly diminished on D3. IS most notably affects the phenotype of pEVs with a limited effect on the number of pEVs. Ischemic stroke moderately disturbs platelet microvesiculation, most notably in the acute phase, affecting the phenotype of pEVs, with a limited impact on the number of pEVs. The accumulation of α-synuclein (α-syn), an essential step in PD development and progression, is observed not only in neurons but also in glia, including astrocytes. The mechanisms regulating astrocytic α-syn level and aggregation remain unclear. More recently, it has been demonstrated that a part of α-syn spreading occurs through extracellular vesicles (EVs), although it is unknown whether this process is involved in astrocytes of PD. It is known, however, that EVs derived from the central nervous system exist in the blood and are extensively explored as biomarkers for PD and other neurodegenerative disorders. Primary astrocytes were transfected with A53T α-syn plasmid or exposed to α-syn aggregates. The level of astrocyte-derived EVs (AEVs) was assessed by nanoparticle tracking analysis and immunofluorescence. The lysosomal function was evaluated by Cathepsin assays, immunofluorescence for levels of Lamp1 and Lamp2, and LysoTracker Red staining. The Apogee assays were optimized to measure the GLT-1+ AEVs in clinical cohorts of 106 PD, 47 multiple system atrophy (MSA), and 103 healthy control (HC) to test the potential of plasma AEVs as a biomarker to differentiate PD from other forms of parkinsonism. The number of AEVs significantly increased in primary astrocytes with α-syn deposition. The mechanism of increased AEVs was partially attributed to lysosomal dysfunction. The number of α-syn-carrying AEVs was significantly higher in patients with PD than in HC and MSA. The integrative model combining AEVs with total and aggregated α-syn exhibited efficient diagnostic power in differentiating PD from HC with an AUC of 0.915, and from MSA with an AUC of 0.877. Pathological α-syn deposition could increase the astrocytic secretion of EVs, possibly through α-syn-induced lysosomal dysfunction. The α-syn-containing AEVs in the peripheral blood may be an effective biomarker for clinical diagnosis or differential diagnosis of PD. Mitochondrial dysfunction has pleiotropic effects and is frequently caused by mitochondrial DNA mutations. However, factors such as significant variability in clinical manifestations make interpreting the pathogenicity of variants in the mitochondrial genome challenging. Here, we present APOGEE 2, a mitochondrially-centered ensemble method designed to improve the accuracy of pathogenicity predictions for interpreting missense mitochondrial variants. Built on the joint consensus recommendations by the American College of Medical Genetics and Genomics/Association for Molecular Pathology, APOGEE 2 features an improved machine learning method and a curated training set for enhanced performance metrics. It offers region-wise assessments of genome fragility and mechanistic analyses of specific amino acids that cause perceptible long-range effects on protein structure. With clinical and research use in mind, APOGEE 2 scores and pathogenicity probabilities are precompiled and available in MitImpact. APOGEE 2's ability to address challenges in interpreting mitochondrial missense variants makes it an essential tool in the field of mitochondrial genetics. Extracellular vesicles (EVs) in body fluids are explored as disease biomarkers, but EV concentrations measured by flow cytometers (FCMs) are incomparable. To improve data comparability, new reference materials with physical properties resembling EVs and reference procedures are being developed. The validation of new reference materials and procedures requires biological test samples. We developed a human plasma EV test sample (PEVTES) that i) resembles subcellular particles in plasma, ii) is ready-to-use, iii) is flow cytometry-compatible, and iv) is stable. The PEVTES was prepared from human plasma of 3 fasting donors. EVs were immunofluorescently stained with antibodies against platelet-specific (CD61) and erythrocyte-specific (CD235a) antigens or lactadherin. To reduce the concentration of soluble proteins, lipoproteins, and unbound reagents, stained EVs were isolated from plasma by size-exclusion chromatography. After isolation, the PEVTES was filtered to remove remnant platelets. PEVTESs were diluted in cryopreservation agents, dimethyl sulfoxide, glycerol, or trehalose and stored at -80 °C for 12 months. After thawing, stained EV concentrations were measured with a calibrated FCM (Apogee A60-Micro). We demonstrate that the developed PEVTES resembles subcellular particles in human plasma when measured using FCM and that the concentrations of prestained platelet-derived, erythrocyte-derived, and lactadherin+ EVs in the PEVTES are stable during storage at -80 °C for 12 months when stored in trehalose. The PEVTES i) resembles subcellular particles in plasma, ii) is ready-to-use, iii) is flow cytometry-compatible, and iv) is stable. Therefore, the developed PEVTES is an ideal candidate to validate newly developed reference materials and procedures. Flow cytometry is commonly used to detect cell-derived extracellular vesicles in body fluids such as blood plasma. However, continuous and simultaneous illumination of multiple particles at or below the detection limit may result in the detection of a single event. This phenomenon is called swarm detection and leads to incorrect particle concentration measurements. To prevent swarm detection, sample dilution is recommended. Since the concentration of particles differs between plasma samples, finding the optimal sample dilution requires dilution series of all samples, which is unfeasible in clinical routine. Here we developed a practical procedure to find the optimal sample dilution of plasma for extracellular vesicle flow cytometry measurements in clinical research studies. Dilution series of 5 plasma samples were measured with flow cytometry (Apogee A60-Micro), triggered on side scatter. The total particle concentration between these plasma samples ranged from 2.5 × 109 to 2.1 × 1011 mL-1. Swarm detection was absent in plasma samples when diluted ≥1.1 × 103-fold or at particle count rates <3.0 × 103 events·s-1. Application of either one of these criteria, however, resulted in insignificant particle counts in most samples. The best approach to prevent swarm detection while maintaining significant particle counts was by combining minimal dilution with maximum count rate. To prevent swarm detection in a series of clinical samples, the measurement count rate of a single diluted plasma sample can be used to determine the optimal dilution factor. For our samples, flow cytometer, and settings, the optimal dilution factor is ≥1.1 × 102-

The levels of platelet-derived extracellular vesicles (pEVs) have been reported as elevated in acute ischemic stroke (IS). However, the results of studies remain equivocal. This prospective, case-control study included 168 patients with IS, 63 matched disease controls (DC), and 21 healthy controls (HC). Total pEVs concentration, the concentration of phosphatidylserine-positive pEVs (PS+pEVs), the percentage of PS+pEVs (%PS+pEVs) and the concentration of pEVs with expression of CD62P+, CD40L+, CD31+, and active form of GPIIb/IIIa receptor (PAC-1+) were assessed on days 1, 3, 10, and 90 with the Apogee A50-Micro flow cytometer. The concentrations of pEVs, PS+pEVs, and %PS+pEVs were significantly higher after IS vs. HC (p < 0.001). PS+pEVs were higher after stroke vs. controls (p < 0.01). The concentrations of pEVs with expression of studied molecules were higher on D1 and D3 after stroke vs. controls. The concentration of pEVs after platelet stimulation with ADP was significantly diminished on D3. IS most notably affects the phenotype of pEVs with a limited effect on the number of pEVs. Ischemic stroke moderately disturbs platelet microvesiculation, most notably in the acute phase, affecting the phenotype of pEVs, with a limited impact on the number of pEVs. The accumulation of α-synuclein (α-syn), an essential step in PD development and progression, is observed not only in neurons but also in glia, including astrocytes. The mechanisms regulating astrocytic α-syn level and aggregation remain unclear. More recently, it has been demonstrated that a part of α-syn spreading occurs through extracellular vesicles (EVs), although it is unknown whether this process is involved in astrocytes of PD. It is known, however, that EVs derived from the central nervous system exist in the blood and are extensively explored as biomarkers for PD and other neurodegenerative disorders. Primary astrocytes were transfected with A53T α-syn plasmid or exposed to α-syn aggregates. The level of astrocyte-derived EVs (AEVs) was assessed by nanoparticle tracking analysis and immunofluorescence. The lysosomal function was evaluated by Cathepsin assays, immunofluorescence for levels of Lamp1 and Lamp2, and LysoTracker Red staining. The Apogee assays were optimized to measure the GLT-1+ AEVs in clinical cohorts of 106 PD, 47 multiple system atrophy (MSA), and 103 healthy control (HC) to test the potential of plasma AEVs as a biomarker to differentiate PD from other forms of parkinsonism. The number of AEVs significantly increased in primary astrocytes with α-syn deposition. The mechanism of increased AEVs was partially attributed to lysosomal dysfunction. The number of α-syn-carrying AEVs was significantly higher in patients with PD than in HC and MSA. The integrative model combining AEVs with total and aggregated α-syn exhibited efficient diagnostic power in differentiating PD from HC with an AUC of 0.915, and from MSA with an AUC of 0.877. Pathological α-syn deposition could increase the astrocytic secretion of EVs, possibly through α-syn-induced lysosomal dysfunction. The α-syn-containing AEVs in the peripheral blood may be an effective biomarker for clinical diagnosis or differential diagnosis of PD. Mitochondrial dysfunction has pleiotropic effects and is frequently caused by mitochondrial DNA mutations. However, factors such as significant variability in clinical manifestations make interpreting the pathogenicity of variants in the mitochondrial genome challenging. Here, we present APOGEE 2, a mitochondrially-centered ensemble method designed to improve the accuracy of pathogenicity predictions for interpreting missense mitochondrial variants. Built on the joint consensus recommendations by the American College of Medical Genetics and Genomics/Association for Molecular Pathology, APOGEE 2 features an improved machine learning method and a curated training set for enhanced performance metrics. It offers region-wise assessments of genome fragility and mechanistic analyses of specific amino acids that cause perceptible long-range effects on protein structure. With clinical and research use in mind, APOGEE 2 scores and pathogenicity probabilities are precompiled and available in MitImpact. APOGEE 2's ability to address challenges in interpreting mitochondrial missense variants makes it an essential tool in the field of mitochondrial genetics. Extracellular vesicles (EVs) in body fluids are explored as disease biomarkers, but EV concentrations measured by flow cytometers (FCMs) are incomparable. To improve data comparability, new reference materials with physical properties resembling EVs and reference procedures are being developed. The validation of new reference materials and procedures requires biological test samples. We developed a human plasma EV test sample (PEVTES) that i) resembles subcellular particles in plasma, ii) is ready-to-use, iii) is flow cytometry-compatible, and iv) is stable. The PEVTES was prepared from human plasma of 3 fasting donors. EVs were immunofluorescently stained with antibodies against platelet-specific (CD61) and erythrocyte-specific (CD235a) antigens or lactadherin. To reduce the concentration of soluble proteins, lipoproteins, and unbound reagents, stained EVs were isolated from plasma by size-exclusion chromatography. After isolation, the PEVTES was filtered to remove remnant platelets. PEVTESs were diluted in cryopreservation agents, dimethyl sulfoxide, glycerol, or trehalose and stored at -80 °C for 12 months. After thawing, stained EV concentrations were measured with a calibrated FCM (Apogee A60-Micro). We demonstrate that the developed PEVTES resembles subcellular particles in human plasma when measured using FCM and that the concentrations of prestained platelet-derived, erythrocyte-derived, and lactadherin+ EVs in the PEVTES are stable during storage at -80 °C for 12 months when stored in trehalose. The PEVTES i) resembles subcellular particles in plasma, ii) is ready-to-use, iii) is flow cytometry-compatible, and iv) is stable. Therefore, the developed PEVTES is an ideal candidate to validate newly developed reference materials and procedures. Flow cytometry is commonly used to detect cell-derived extracellular vesicles in body fluids such as blood plasma. However, continuous and simultaneous illumination of multiple particles at or below the detection limit may result in the detection of a single event. This phenomenon is called swarm detection and leads to incorrect particle concentration measurements. To prevent swarm detection, sample dilution is recommended. Since the concentration of particles differs between plasma samples, finding the optimal sample dilution requires dilution series of all samples, which is unfeasible in clinical routine. Here we developed a practical procedure to find the optimal sample dilution of plasma for extracellular vesicle flow cytometry measurements in clinical research studies. Dilution series of 5 plasma samples were measured with flow cytometry (Apogee A60-Micro), triggered on side scatter. The total particle concentration between these plasma samples ranged from 2.5 × 109 to 2.1 × 1011 mL-1. Swarm detection was absent in plasma samples when diluted ≥1.1 × 103-fold or at particle count rates <3.0 × 103 events·s-1. Application of either one of these criteria, however, resulted in insignificant particle counts in most samples. The best approach to prevent swarm detection while maintaining significant particle counts was by combining minimal dilution with maximum count rate. To prevent swarm detection in a series of clinical samples, the measurement count rate of a single diluted plasma sample can be used to determine the optimal dilution factor. For our samples, flow cytometer, and settings, the optimal dilution factor is ≥1.1 × 102-

This study aims to shed light on the transformative potential of artificial intelligence (AI) in the early detection and risk assessment of non-communicable diseases (NCDs). Bibliometric analysis. Articles related to AI in early identification and risk evaluation of NCDs from 2000 to 2024 were retrieved from the Scopus database. This comprehensive bibliometric study focuses on a single database, Scopus and employs narrative synthesis for concise yet informative summaries. Microsoft Excel V.365 and VOSviewer software (V.1.6.20) were used to summarise bibliometric features. The study retrieved 1745 relevant articles, with a notable surge in research activity in recent years. Core journals included Scientific Reports and IEEE Access, and core institutions included the Harvard Medical School and the Ministry of Education of the People's Republic of China, while core countries comprised China, the USA, India, the UK and Saudi Arabia. Citation trends indicated substantial growth and recognition of AI's impact on NCDs management. Frequent author keywords identified key research hotspots, including specific NCDs like Alzheimer's disease and diabetes. Risk assessment studies demonstrated improved predictions for heart failure, cardiovascular risk, breast cancer, diabetes and inflammatory bowel disease. Our findings highlight the increasing role of AI in early detection and risk prediction of NCDs, emphasising its widening research impact and future clinical potential. Chronic inflammatory demyelinating polyradiculoneuropathy (CIDP) is an acquired treatable autoimmune disorder. Due to limited availability and affordability of IV immunoglobulins and therapeutic plasma exchange in Pakistan, oral immunosuppressive drugs (ISDs) are used despite limited role in literature. The study aimed to determine the response to ISDs in CIDP patients by assessing the frequency of remission, reduction of disability using a neuropathy related disability score called Inflammatory Neuropathy Cause and Treatment score (or INCAT score), as well as reduction in steroid maintenance dose. The retrospective observational study of six months duration (May to October, 2020) was carried out in Aga Khan University Hospital, Karachi, Pakistan. Medical record of all the patients with idiopathic CIDP taking oral ISDs in last five years was selected which included bio-data, clinical signs and symptoms, medication details, and INCAT scores. Descriptive statistics were described i.e. frequency, percentages, mean/standard deviation using Microsoft Excel v.2021. Out of thirteen patients, Azathioprine was used in nine, Mycophenolate mofetil in two and Cyclosporine in two, with remission (INCAT score improvement ≥ 1) achieved in eight, one and zero patients respectively. Duration of ISDs ranged from three to twenty-four months (average 15.8 months). Patients with monoclonal paraproteinemia and prior exposure to ISDs had a poor response to the introduction of subsequent ISDs. The study describes preliminary experience of the potential role of relatively cheaper and more convenient oral ISDs (especially Azathioprine) as an alternative or sparing agent to first line agents for CIDP and sets the stage for larger scale studies and randomized controlled trials. The aim of this study was to identify and appraise the bibliometric properties of top 100 most-cited articles on regenerative periodontics surgery (RPS). The bibliometric research technique was conducted using a dataset comprising the 100 highly cited articles obtained from Elsevier's Scopus database on RPS. Information regarding the growth of articles by year, number of citations, citations per year, study design, study field, modalities, journals, authors, and countries were extracted for each article. Microsoft Excel (v.16) was utilized for data evaluation and tabulation. These articles on RPS were published over a span of 45 years, from 1975 to 2019, with citation metrics ranging from 144 to 820. Out of the 422 participating authors, 82% contributed to a single article. The 100 most cited articles on RPS were published in 45 years from 1975 to 2019 and number of citations ranged from 144 to 820. Out of the 422 participating authors, 82% contributed in a single article.. The study design with the highest number of cited articles was laboratory/animal studies. Others/not specified was the preferred modality, followed by infrabony modality. The Journal of Periodontology published about one-fourth of the articles, with W. V. Giannobile emerging as the most productive author. Among the 100 most-cited articles on RPS, authors from 25 different countries contributed, with the United States producing half of the articles (n = 51). Bibliometric investigation revealed that the most cited papers published before 2000 had higher citation counts due to their longer period of exposure. The ratio of authors per article increased after the year 2000. Infrabony emerges as a trending topic in RPS, with laboratory/animal studies, clinical trials, and literature reviews being the most frequently employed study designs. To study the impact of reorganization of European hospitals during the most severe phase of the SARS-CoV-2 pandemic on standards of care and early outcomes in patients with periprosthetic fractures. We reviewed available data collected from 14 hospitals in Northern Italy during the quarantine period between March 9 and May 4, 2020. The study included all patients admitted to emergency departments with periprosthetic fractures and scheduled for surgery within a 2-month period. Periprosthetic fractures were classified according to the Uniform Classification System (UCS). Distribution normality was tested using the Kolmogorov-Smirnov test. Accordingly, data were described as non-parametric. Statistical analysis was performed using the Microsoft Excel v. 16.0. In total, 1390 patients admitted to the Department of Orthopedics and Traumatology for emergency care throughout the follow-up period including 38 (2.7%) ones with periprosthetic fractures. There were 12 (31.5%) men and 26 (68.5%) women. Mean age was 81 years (range 70-96). Screening for SARS-CoV-2 by swab was performed in 23 out of 38 patients (60.5%) at admission. It was positive in 2 (5.3%) cases. Three out of thirty-eight patients (7.9%) were diagnosed with COVID-19 due to clinical signs. Of these, 2 patients were diagnosed with COVID-19 before surgery, 3 patients - after surgery. Although the study period coincided with quarantine, the number of admissions for periprosthetic fractures (3%) was similar to that in 2019 and accounted for 3% of the total number of visits to the traumatology and orthopedics departments. The study revealed no obvious changes in hospitalizations for periprosthetic fractures despite social restrictions during the first wave of the COVID-19 pandemic. In emergency, hospitals were still able to provide standard care for patients with periprosthetic fractures despite significant amount of resources redirected for the pandemic. Влияние реорганизации европейских больниц во время наиболее тяжелой фазы пандемии SARS-CoV-2 на стандарты оказания помощи и ранние результаты лечения пациентов с &#x43f

The levels of platelet-derived extracellular vesicles (pEVs) have been reported as elevated in acute ischemic stroke (IS). However, the results of studies remain equivocal. This prospective, case-control study included 168 patients with IS, 63 matched disease controls (DC), and 21 healthy controls (HC). Total pEVs concentration, the concentration of phosphatidylserine-positive pEVs (PS+pEVs), the percentage of PS+pEVs (%PS+pEVs) and the concentration of pEVs with expression of CD62P+, CD40L+, CD31+, and active form of GPIIb/IIIa receptor (PAC-1+) were assessed on days 1, 3, 10, and 90 with the Apogee A50-Micro flow cytometer. The concentrations of pEVs, PS+pEVs, and %PS+pEVs were significantly higher after IS vs. HC (p < 0.001). PS+pEVs were higher after stroke vs. controls (p < 0.01). The concentrations of pEVs with expression of studied molecules were higher on D1 and D3 after stroke vs. controls. The concentration of pEVs after platelet stimulation with ADP was significantly diminished on D3. IS most notably affects the phenotype of pEVs with a limited effect on the number of pEVs. Ischemic stroke moderately disturbs platelet microvesiculation, most notably in the acute phase, affecting the phenotype of pEVs, with a limited impact on the number of pEVs. The accumulation of α-synuclein (α-syn), an essential step in PD development and progression, is observed not only in neurons but also in glia, including astrocytes. The mechanisms regulating astrocytic α-syn level and aggregation remain unclear. More recently, it has been demonstrated that a part of α-syn spreading occurs through extracellular vesicles (EVs), although it is unknown whether this process is involved in astrocytes of PD. It is known, however, that EVs derived from the central nervous system exist in the blood and are extensively explored as biomarkers for PD and other neurodegenerative disorders. Primary astrocytes were transfected with A53T α-syn plasmid or exposed to α-syn aggregates. The level of astrocyte-derived EVs (AEVs) was assessed by nanoparticle tracking analysis and immunofluorescence. The lysosomal function was evaluated by Cathepsin assays, immunofluorescence for levels of Lamp1 and Lamp2, and LysoTracker Red staining. The Apogee assays were optimized to measure the GLT-1+ AEVs in clinical cohorts of 106 PD, 47 multiple system atrophy (MSA), and 103 healthy control (HC) to test the potential of plasma AEVs as a biomarker to differentiate PD from other forms of parkinsonism. The number of AEVs significantly increased in primary astrocytes with α-syn deposition. The mechanism of increased AEVs was partially attributed to lysosomal dysfunction. The number of α-syn-carrying AEVs was significantly higher in patients with PD than in HC and MSA. The integrative model combining AEVs with total and aggregated α-syn exhibited efficient diagnostic power in differentiating PD from HC with an AUC of 0.915, and from MSA with an AUC of 0.877. Pathological α-syn deposition could increase the astrocytic secretion of EVs, possibly through α-syn-induced lysosomal dysfunction. The α-syn-containing AEVs in the peripheral blood may be an effective biomarker for clinical diagnosis or differential diagnosis of PD. Mitochondrial dysfunction has pleiotropic effects and is frequently caused by mitochondrial DNA mutations. However, factors such as significant variability in clinical manifestations make interpreting the pathogenicity of variants in the mitochondrial genome challenging. Here, we present APOGEE 2, a mitochondrially-centered ensemble method designed to improve the accuracy of pathogenicity predictions for interpreting missense mitochondrial variants. Built on the joint consensus recommendations by the American College of Medical Genetics and Genomics/Association for Molecular Pathology, APOGEE 2 features an improved machine learning method and a curated training set for enhanced performance metrics. It offers region-wise assessments of genome fragility and mechanistic analyses of specific amino acids that cause perceptible long-range effects on protein structure. With clinical and research use in mind, APOGEE 2 scores and pathogenicity probabilities are precompiled and available in MitImpact. APOGEE 2's ability to address challenges in interpreting mitochondrial missense variants makes it an essential tool in the field of mitochondrial genetics. Extracellular vesicles (EVs) in body fluids are explored as disease biomarkers, but EV concentrations measured by flow cytometers (FCMs) are incomparable. To improve data comparability, new reference materials with physical properties resembling EVs and reference procedures are being developed. The validation of new reference materials and procedures requires biological test samples. We developed a human plasma EV test sample (PEVTES) that i) resembles subcellular particles in plasma, ii) is ready-to-use, iii) is flow cytometry-compatible, and iv) is stable. The PEVTES was prepared from human plasma of 3 fasting donors. EVs were immunofluorescently stained with antibodies against platelet-specific (CD61) and erythrocyte-specific (CD235a) antigens or lactadherin. To reduce the concentration of soluble proteins, lipoproteins, and unbound reagents, stained EVs were isolated from plasma by size-exclusion chromatography. After isolation, the PEVTES was filtered to remove remnant platelets. PEVTESs were diluted in cryopreservation agents, dimethyl sulfoxide, glycerol, or trehalose and stored at -80 °C for 12 months. After thawing, stained EV concentrations were measured with a calibrated FCM (Apogee A60-Micro). We demonstrate that the developed PEVTES resembles subcellular particles in human plasma when measured using FCM and that the concentrations of prestained platelet-derived, erythrocyte-derived, and lactadherin+ EVs in the PEVTES are stable during storage at -80 °C for 12 months when stored in trehalose. The PEVTES i) resembles subcellular particles in plasma, ii) is ready-to-use, iii) is flow cytometry-compatible, and iv) is stable. Therefore, the developed PEVTES is an ideal candidate to validate newly developed reference materials and procedures. Flow cytometry is commonly used to detect cell-derived extracellular vesicles in body fluids such as blood plasma. However, continuous and simultaneous illumination of multiple particles at or below the detection limit may result in the detection of a single event. This phenomenon is called swarm detection and leads to incorrect particle concentration measurements. To prevent swarm detection, sample dilution is recommended. Since the concentration of particles differs between plasma samples, finding the optimal sample dilution requires dilution series of all samples, which is unfeasible in clinical routine. Here we developed a practical procedure to find the optimal sample dilution of plasma for extracellular vesicle flow cytometry measurements in clinical research studies. Dilution series of 5 plasma samples were measured with flow cytometry (Apogee A60-Micro), triggered on side scatter. The total particle concentration between these plasma samples ranged from 2.5 × 109 to 2.1 × 1011 mL-1. Swarm detection was absent in plasma samples when diluted ≥1.1 × 103-fold or at particle count rates <3.0 × 103 events·s-1. Application of either one of these criteria, however, resulted in insignificant particle counts in most samples. The best approach to prevent swarm detection while maintaining significant particle counts was by combining minimal dilution with maximum count rate. To prevent swarm detection in a series of clinical samples, the measurement count rate of a single diluted plasma sample can be used to determine the optimal dilution factor. For our samples, flow cytometer, and settings, the optimal dilution factor is ≥1.1 × 102-

Riehl's melanosis is a hyperpigmentation disorder that has a significant psychological and social impact on individuals. In the past 10 years, new categories have been developed, raising questions about how to classify Riehl's melanosis. The mechanism of this disease remains unclear, although the type IV hypersensitivity response caused by allergic sensitization, as well as genetic, ultraviolet radiation, and autoimmune factors, is to blame. Clinical manifestation, dermoscopy, reflectance confocal microscopy, patch/photopatch testing, histopathology, and a novel multimodality skin imaging system have been used for the diagnosis. A variety of therapies including topical skin-lightening agents, oral tranexamic acid, glycyrrhizin compound, chemical peels, and lasers and light therapies (intense pulsed light, 1064-nm Q-Switched Nd: YAG laser, 755-nm PicoWay laser, nonablative 1927-nm fractional thulium fiber laser, new pulsed-type microneedling radiofrequency), with improved effectiveness. The latest findings on possible biomarkers and their relationship to other autoimmune diseases were also summarized. Until recently, quality-switched nanosecond lasers have been the workhorse lasers in treating pigmented lesions. However, the recently commercialized picosecond lasers have provided physicians with a novel method to manage pigmented lesions. Most recently, the first picosecond laser with a 730-nm wavelength was developed to specifically target melanin and melanocytes. We report on two Asian patients with freckles, lentigines, and melasma who were successfully treated with a novel 730-nm Ti:Sapphire picosecond laser (Picoway®; Syneron Candela, Corp). The clinical outcome was measured by the global percent of clearance, which was evaluated by blinded observers by comparing the post-treatment photographs with the baseline photographs. In both patients, a significant pigmentary reduction was achieved with only one treatment session. In both patients, the treatments were well tolerated with minimal discomfort even without topical anesthesia. No post-inflammatory hyperpigmentation or repigmentation was observed until the 6-week follow-up. The pigmentary conditions treated included freckles, lentigines, and melasma. Both subjects showed clinical improvement, with the best results observed for the treatment of freckles such that 95% of the lesions achieved excellent response (75-94% lightening). The results of this case report indicate that a novel 730-nm Ti:Sapphire picosecond laser may be effective and safe in treating pigmentary disorders in darker-skinned patients. Therefore, further well-designed, prospective clinical trials are warranted to establish the potential of 730-nm picosecond lasers and determine the optimal treatment parameters in comparison to existing laser and light modalities. Lasers Surg. Med. © 2020 Wiley Periodicals LLC. Pigmentation is one of the few major characteristics according to which scars are evaluated. Data on the treatment of the hyperpigmented component of scars are sparse. The authors aimed at evaluating the efficacy of the fractional 1,064-nm neodymium-doped yttrium aluminum garnet (Nd:YAG) picosecond laser in the treatment of the hyperpigmented component of scars. Sixteen patients with hyperpigmented scars underwent 3 to 8 treatment sessions at 3- to 6-week intervals with the 1,064-nm Nd:YAG picosecond laser (PicoWay, Candela, Resolve handpiece). The treatment response was evaluated by 2 noninvolved dermatologists on a global assessment scale (GAS) of 1 to 4. A Mexameter quantitatively evaluated the melanin content of the scar before and after laser treatments. The average GAS score of the 2 noninvolved dermatologists was 3.31 ± 0.57. The patients assessed their level of tolerance as good or excellent and their satisfaction level as moderate or high. The Mexameter showed that the melanin index decreased considerably (by 39.11 ± 11.58%) in all patients after treatment. The fractionated nonablative picosecond Nd:YAG laser was effective for the treatment of the hyperpigmented component of scars.

This study aims to shed light on the transformative potential of artificial intelligence (AI) in the early detection and risk assessment of non-communicable diseases (NCDs). Bibliometric analysis. Articles related to AI in early identification and risk evaluation of NCDs from 2000 to 2024 were retrieved from the Scopus database. This comprehensive bibliometric study focuses on a single database, Scopus and employs narrative synthesis for concise yet informative summaries. Microsoft Excel V.365 and VOSviewer software (V.1.6.20) were used to summarise bibliometric features. The study retrieved 1745 relevant articles, with a notable surge in research activity in recent years. Core journals included Scientific Reports and IEEE Access, and core institutions included the Harvard Medical School and the Ministry of Education of the People's Republic of China, while core countries comprised China, the USA, India, the UK and Saudi Arabia. Citation trends indicated substantial growth and recognition of AI's impact on NCDs management. Frequent author keywords identified key research hotspots, including specific NCDs like Alzheimer's disease and diabetes. Risk assessment studies demonstrated improved predictions for heart failure, cardiovascular risk, breast cancer, diabetes and inflammatory bowel disease. Our findings highlight the increasing role of AI in early detection and risk prediction of NCDs, emphasising its widening research impact and future clinical potential. Chronic inflammatory demyelinating polyradiculoneuropathy (CIDP) is an acquired treatable autoimmune disorder. Due to limited availability and affordability of IV immunoglobulins and therapeutic plasma exchange in Pakistan, oral immunosuppressive drugs (ISDs) are used despite limited role in literature. The study aimed to determine the response to ISDs in CIDP patients by assessing the frequency of remission, reduction of disability using a neuropathy related disability score called Inflammatory Neuropathy Cause and Treatment score (or INCAT score), as well as reduction in steroid maintenance dose. The retrospective observational study of six months duration (May to October, 2020) was carried out in Aga Khan University Hospital, Karachi, Pakistan. Medical record of all the patients with idiopathic CIDP taking oral ISDs in last five years was selected which included bio-data, clinical signs and symptoms, medication details, and INCAT scores. Descriptive statistics were described i.e. frequency, percentages, mean/standard deviation using Microsoft Excel v.2021. Out of thirteen patients, Azathioprine was used in nine, Mycophenolate mofetil in two and Cyclosporine in two, with remission (INCAT score improvement ≥ 1) achieved in eight, one and zero patients respectively. Duration of ISDs ranged from three to twenty-four months (average 15.8 months). Patients with monoclonal paraproteinemia and prior exposure to ISDs had a poor response to the introduction of subsequent ISDs. The study describes preliminary experience of the potential role of relatively cheaper and more convenient oral ISDs (especially Azathioprine) as an alternative or sparing agent to first line agents for CIDP and sets the stage for larger scale studies and randomized controlled trials. The aim of this study was to identify and appraise the bibliometric properties of top 100 most-cited articles on regenerative periodontics surgery (RPS). The bibliometric research technique was conducted using a dataset comprising the 100 highly cited articles obtained from Elsevier's Scopus database on RPS. Information regarding the growth of articles by year, number of citations, citations per year, study design, study field, modalities, journals, authors, and countries were extracted for each article. Microsoft Excel (v.16) was utilized for data evaluation and tabulation. These articles on RPS were published over a span of 45 years, from 1975 to 2019, with citation metrics ranging from 144 to 820. Out of the 422 participating authors, 82% contributed to a single article. The 100 most cited articles on RPS were published in 45 years from 1975 to 2019 and number of citations ranged from 144 to 820. Out of the 422 participating authors, 82% contributed in a single article.. The study design with the highest number of cited articles was laboratory/animal studies. Others/not specified was the preferred modality, followed by infrabony modality. The Journal of Periodontology published about one-fourth of the articles, with W. V. Giannobile emerging as the most productive author. Among the 100 most-cited articles on RPS, authors from 25 different countries contributed, with the United States producing half of the articles (n = 51). Bibliometric investigation revealed that the most cited papers published before 2000 had higher citation counts due to their longer period of exposure. The ratio of authors per article increased after the year 2000. Infrabony emerges as a trending topic in RPS, with laboratory/animal studies, clinical trials, and literature reviews being the most frequently employed study designs. To study the impact of reorganization of European hospitals during the most severe phase of the SARS-CoV-2 pandemic on standards of care and early outcomes in patients with periprosthetic fractures. We reviewed available data collected from 14 hospitals in Northern Italy during the quarantine period between March 9 and May 4, 2020. The study included all patients admitted to emergency departments with periprosthetic fractures and scheduled for surgery within a 2-month period. Periprosthetic fractures were classified according to the Uniform Classification System (UCS). Distribution normality was tested using the Kolmogorov-Smirnov test. Accordingly, data were described as non-parametric. Statistical analysis was performed using the Microsoft Excel v. 16.0. In total, 1390 patients admitted to the Department of Orthopedics and Traumatology for emergency care throughout the follow-up period including 38 (2.7%) ones with periprosthetic fractures. There were 12 (31.5%) men and 26 (68.5%) women. Mean age was 81 years (range 70-96). Screening for SARS-CoV-2 by swab was performed in 23 out of 38 patients (60.5%) at admission. It was positive in 2 (5.3%) cases. Three out of thirty-eight patients (7.9%) were diagnosed with COVID-19 due to clinical signs. Of these, 2 patients were diagnosed with COVID-19 before surgery, 3 patients - after surgery. Although the study period coincided with quarantine, the number of admissions for periprosthetic fractures (3%) was similar to that in 2019 and accounted for 3% of the total number of visits to the traumatology and orthopedics departments. The study revealed no obvious changes in hospitalizations for periprosthetic fractures despite social restrictions during the first wave of the COVID-19 pandemic. In emergency, hospitals were still able to provide standard care for patients with periprosthetic fractures despite significant amount of resources redirected for the pandemic. Влияние реорганизации европейских больниц во время наиболее тяжелой фазы пандемии SARS-CoV-2 на стандарты оказания помощи и ранние результаты лечения пациентов с &#x43f

This study aims to shed light on the transformative potential of artificial intelligence (AI) in the early detection and risk assessment of non-communicable diseases (NCDs). Bibliometric analysis. Articles related to AI in early identification and risk evaluation of NCDs from 2000 to 2024 were retrieved from the Scopus database. This comprehensive bibliometric study focuses on a single database, Scopus and employs narrative synthesis for concise yet informative summaries. Microsoft Excel V.365 and VOSviewer software (V.1.6.20) were used to summarise bibliometric features. The study retrieved 1745 relevant articles, with a notable surge in research activity in recent years. Core journals included Scientific Reports and IEEE Access, and core institutions included the Harvard Medical School and the Ministry of Education of the People's Republic of China, while core countries comprised China, the USA, India, the UK and Saudi Arabia. Citation trends indicated substantial growth and recognition of AI's impact on NCDs management. Frequent author keywords identified key research hotspots, including specific NCDs like Alzheimer's disease and diabetes. Risk assessment studies demonstrated improved predictions for heart failure, cardiovascular risk, breast cancer, diabetes and inflammatory bowel disease. Our findings highlight the increasing role of AI in early detection and risk prediction of NCDs, emphasising its widening research impact and future clinical potential. Chronic inflammatory demyelinating polyradiculoneuropathy (CIDP) is an acquired treatable autoimmune disorder. Due to limited availability and affordability of IV immunoglobulins and therapeutic plasma exchange in Pakistan, oral immunosuppressive drugs (ISDs) are used despite limited role in literature. The study aimed to determine the response to ISDs in CIDP patients by assessing the frequency of remission, reduction of disability using a neuropathy related disability score called Inflammatory Neuropathy Cause and Treatment score (or INCAT score), as well as reduction in steroid maintenance dose. The retrospective observational study of six months duration (May to October, 2020) was carried out in Aga Khan University Hospital, Karachi, Pakistan. Medical record of all the patients with idiopathic CIDP taking oral ISDs in last five years was selected which included bio-data, clinical signs and symptoms, medication details, and INCAT scores. Descriptive statistics were described i.e. frequency, percentages, mean/standard deviation using Microsoft Excel v.2021. Out of thirteen patients, Azathioprine was used in nine, Mycophenolate mofetil in two and Cyclosporine in two, with remission (INCAT score improvement ≥ 1) achieved in eight, one and zero patients respectively. Duration of ISDs ranged from three to twenty-four months (average 15.8 months). Patients with monoclonal paraproteinemia and prior exposure to ISDs had a poor response to the introduction of subsequent ISDs. The study describes preliminary experience of the potential role of relatively cheaper and more convenient oral ISDs (especially Azathioprine) as an alternative or sparing agent to first line agents for CIDP and sets the stage for larger scale studies and randomized controlled trials. The aim of this study was to identify and appraise the bibliometric properties of top 100 most-cited articles on regenerative periodontics surgery (RPS). The bibliometric research technique was conducted using a dataset comprising the 100 highly cited articles obtained from Elsevier's Scopus database on RPS. Information regarding the growth of articles by year, number of citations, citations per year, study design, study field, modalities, journals, authors, and countries were extracted for each article. Microsoft Excel (v.16) was utilized for data evaluation and tabulation. These articles on RPS were published over a span of 45 years, from 1975 to 2019, with citation metrics ranging from 144 to 820. Out of the 422 participating authors, 82% contributed to a single article. The 100 most cited articles on RPS were published in 45 years from 1975 to 2019 and number of citations ranged from 144 to 820. Out of the 422 participating authors, 82% contributed in a single article.. The study design with the highest number of cited articles was laboratory/animal studies. Others/not specified was the preferred modality, followed by infrabony modality. The Journal of Periodontology published about one-fourth of the articles, with W. V. Giannobile emerging as the most productive author. Among the 100 most-cited articles on RPS, authors from 25 different countries contributed, with the United States producing half of the articles (n = 51). Bibliometric investigation revealed that the most cited papers published before 2000 had higher citation counts due to their longer period of exposure. The ratio of authors per article increased after the year 2000. Infrabony emerges as a trending topic in RPS, with laboratory/animal studies, clinical trials, and literature reviews being the most frequently employed study designs. To study the impact of reorganization of European hospitals during the most severe phase of the SARS-CoV-2 pandemic on standards of care and early outcomes in patients with periprosthetic fractures. We reviewed available data collected from 14 hospitals in Northern Italy during the quarantine period between March 9 and May 4, 2020. The study included all patients admitted to emergency departments with periprosthetic fractures and scheduled for surgery within a 2-month period. Periprosthetic fractures were classified according to the Uniform Classification System (UCS). Distribution normality was tested using the Kolmogorov-Smirnov test. Accordingly, data were described as non-parametric. Statistical analysis was performed using the Microsoft Excel v. 16.0. In total, 1390 patients admitted to the Department of Orthopedics and Traumatology for emergency care throughout the follow-up period including 38 (2.7%) ones with periprosthetic fractures. There were 12 (31.5%) men and 26 (68.5%) women. Mean age was 81 years (range 70-96). Screening for SARS-CoV-2 by swab was performed in 23 out of 38 patients (60.5%) at admission. It was positive in 2 (5.3%) cases. Three out of thirty-eight patients (7.9%) were diagnosed with COVID-19 due to clinical signs. Of these, 2 patients were diagnosed with COVID-19 before surgery, 3 patients - after surgery. Although the study period coincided with quarantine, the number of admissions for periprosthetic fractures (3%) was similar to that in 2019 and accounted for 3% of the total number of visits to the traumatology and orthopedics departments. The study revealed no obvious changes in hospitalizations for periprosthetic fractures despite social restrictions during the first wave of the COVID-19 pandemic. In emergency, hospitals were still able to provide standard care for patients with periprosthetic fractures despite significant amount of resources redirected for the pandemic. Влияние реорганизации европейских больниц во время наиболее тяжелой фазы пандемии SARS-CoV-2 на стандарты оказания помощи и ранние результаты лечения пациентов с &#x43f