47 research outputs found
Role of CT Angiography in Detection of Extracranial Carotid and Vertebral Artery Disease in Patients With Acutely Ruptured Intracranial Aneurysms
Introduction: Computed tomography (CT) and CT angiography are standard imaging modalities for suspected acute intracerebral hemorrhage due to ruptured intracranial aneurysms. In this clinical setting, several protocols of computed tomography and CT angiography may be implemented. The standard CT angiography protocol is limited to intracranial vessels. The extended protocol may also include carotid and vertebral arteries and the aortic arch.Objective: To define the CT angiography role in detection of extracranial carotid and vertebral artery disease and clinical significance of this method for patients with suspected acute intracerebral hemorrhages due to ruptured intracranial aneurysms.Materials and methods: The study included 275 neurosurgical patients with acute nontraumatic intracranial hemorrhages due to ruptured intracranial aneurysms who were treated in Scientific Research Institute β Ochapovsky Regional Clinical Hospital No. 1 (Krasnodar, Russian Federation) from September 2017 to August 2020. Computed tomography and CT angiography were performed in all patients. The scanned area included both intracranial and extracranial arteries (an arch-to-vertex angiogram) to detect extracranial carotid and vertebral artery diseases such as stenoses, occlusions, tortuosity, and hypoplasia.Results: Atherosclerosis of internal carotid and vertebral arteries was diagnosed in 95 patients (34.5% of the total number of patients included in the study). In 13 (4.7%) patients these stenoses were hemodynamically significant. We identified a high frequency of tortuous carotid and vertebral arteries (122 cases, 44.3%) and vertebral artery hypoplasia (59 cases, 21.5%). The carotid and vertebral artery stenoses and congenital anomalies of vertebral arteries (however, not of carotid arteries) were associated with a higher incidence of unfavorable outcomes after endovascular treatment of intracranial aneurysms.Conclusions: The optimal CT angiography protocol for acute nontraumatic intracranial hemorrhage should focus on the arteries of the head and neck (up to the aortic arch). This protocol shows higher detection rate of concomitant anomalies of carotid and vertebral arteries. These findings are important for planning and successful performance of endovascular treatment for intracranial aneurysms
Π¦Π΅Π½ΡΡΠ°Π»ΡΠ½Π°Ρ Π³Π΅ΠΌΠΎΠ΄ΠΈΠ½Π°ΠΌΠΈΠΊΠ° ΠΈ ΡΡΠ°Π½ΡΠΏΠΎΡΡ ΠΊΠΈΡΠ»ΠΎΡΠΎΠ΄Π° ΠΏΡΠΈ ΡΠ°Π·Π½ΠΎΠΌ ΡΠ΅ΠΌΠΏΠ΅ Π°ΠΊΡΠΈΠ²ΠΈΠ·Π°ΡΠΈΠΈ Π±ΠΎΠ»ΡΠ½ΡΡ , ΠΎΠΏΠ΅ΡΠΈΡΠΎΠ²Π°Π½Π½ΡΡ Ρ ΠΈΡΠΊΡΡΡΡΠ²Π΅Π½Π½ΡΠΌ ΠΊΡΠΎΠ²ΠΎΠΎΠ±ΡΠ°ΡΠ΅Π½ΠΈΠ΅ΠΌ
Objective: to study central hemodynamics, the determinants of myocardial oxygen balance, and the parameters of oxygen transport in various activation of patients after surgery under extracorporeal circulation. Subjects and methods. Thirty-four patients aged 57.8Β±2.5 years who had coronary heart disease were divided into 2 groups: 1) those with late activation (artificial ventilation time 157Β±9 min) and 2) those with immediate activation (artificial ventilation time 33Β±6 min). Group 2 patients were, if required, given fentanyl, midazolam, or myorelaxants. Results. During activation, there were no intergroup differences in the mean levels of the major parameters of cardiac pump function, in the determinants of coronary blood flow (coronary perfusion gradients) and myocardial oxygen demand (the product of heart rate by systolic blood pressure), and in the parameters of oxygen transport, including arterial lactatemia. After tracheal extubation, the left ventricular pump coefficient was increased considerably (up to 3.8Β±0.2 and 4.4Β±0.2 gm/mm Hg/m2 in Groups 1 and 2, respectively; p<0.05) with minimum inotropic support (dopamine and/or dobutamine being used at 2.7Β±0.3 and 2.4Β±0.3 mg/kg/min, respectively). In both groups, there were no close correlations between the indices of oxygen delivery and consumption at all stages of the study, which was indicative of no transport-dependent oxygen uptake. Conclusion. When the early activation protocol was followed up, the maximum acceleration of early activation, including that using specific antagonists of anesthetics, has no negative impact on central hemodynamics, the determinants of myocardial oxygen balance and transport in patients operated on under extracorporeal circulation. Key words: early activation, surgery under extracorporeal circulation, tracheal extubation in the operating-room, central hemodynamics, oxygen transport.Π¦Π΅Π»Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ β ΠΈΠ·ΡΡΠΈΡΡ ΡΠ΅Π½ΡΡΠ°Π»ΡΠ½ΡΡ Π³Π΅ΠΌΠΎΠ΄ΠΈΠ½Π°ΠΌΠΈΠΊΡ, Π΄Π΅ΡΠ΅ΡΠΌΠΈΠ½Π°Π½ΡΡ ΠΊΠΈΡΠ»ΠΎΡΠΎΠ΄Π½ΠΎΠ³ΠΎ Π±Π°Π»Π°Π½ΡΠ° ΠΌΠΈΠΎΠΊΠ°ΡΠ΄Π° ΠΈ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΡ ΡΡΠ°Π½ΡΠΏΠΎΡΡΠ° ΠΊΠΈΡΠ»ΠΎΡΠΎΠ΄Π° ΠΏΡΠΈ ΡΠ°Π·Π»ΠΈΡΠ½ΠΎΠΌ ΡΠ΅ΠΌΠΏΠ΅ Π°ΠΊΡΠΈΠ²ΠΈΠ·Π°ΡΠΈΠΈ Π±ΠΎΠ»ΡΠ½ΡΡ
ΠΏΠΎΡΠ»Π΅ ΠΎΠΏΠ΅ΡΠ°ΡΠΈΠΉ Ρ ΠΈΡΠΊΡΡΡΡΠ²Π΅Π½Π½ΡΠΌ ΠΊΡΠΎΠ²ΠΎΠΎΠ±ΡΠ°ΡΠ΅Π½ΠΈΠ΅ΠΌ. ΠΠ°ΡΠ΅ΡΠΈΠ°Π» ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ. ΠΠ±ΡΠ»Π΅Π΄ΠΎΠ²Π°Π»ΠΈ 34 Π±ΠΎΠ»ΡΠ½ΡΡ
ΠΈΡΠ΅ΠΌΠΈΡΠ΅ΡΠΊΠΎΠΉ Π±ΠΎΠ»Π΅Π·Π½ΡΡ ΡΠ΅ΡΠ΄ΡΠ° Π² Π²ΠΎΠ·ΡΠ°ΡΡΠ΅ 57,8Β±2,5 Π³ΠΎΠ΄Π°, ΡΠ°Π·Π΄Π΅Π»Π΅Π½Π½ΡΡ
Π½Π° 2 Π³ΡΡΠΏΠΏΡ: 1-Ρ β Ρ ΠΎΡΡΡΠΎΡΠ΅Π½Π½ΠΎΠΉ Π°ΠΊΡΠΈΠ²ΠΈΠ·Π°ΡΠΈΠ΅ΠΉ (Π²ΡΠ΅ΠΌΡ ΠΈΡΠΊΡΡΡΡΠ²Π΅Π½Π½ΠΎΠΉ Π²Π΅Π½ΡΠΈΠ»ΡΡΠΈΠΈ Π»Π΅Π³ΠΊΠΈΡ
β 157Β±9 ΠΌΠΈΠ½) ΠΈ 2-Ρ β Ρ Π½Π΅ΠΌΠ΅Π΄Π»Π΅Π½Π½ΠΎΠΉ Π°ΠΊΡΠΈΠ²ΠΈΠ·Π°ΡΠΈΠ΅ΠΉ (Π²ΡΠ΅ΠΌΡ ΠΈΡΠΊΡΡΡΡΠ²Π΅Π½Π½ΠΎΠΉ Π²Π΅Π½ΡΠΈΠ»ΡΡΠΈΠΈ Π»Π΅Π³ΠΊΠΈΡ
β 33Β±6 ΠΌΠΈΠ½). ΠΡΠΈ Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΠΎΡΡΠΈ Π±ΠΎΠ»ΡΠ½ΡΠΌ 2-ΠΉ Π³ΡΡΠΏΠΏΡ Π½Π°Π·Π½Π°ΡΠ°Π»ΠΈ Π°Π½ΡΠ°Π³ΠΎΠ½ΠΈΡΡΡ ΡΠ΅Π½ΡΠ°Π½ΠΈΠ»Π°, ΠΌΠΈΠ΄Π°Π·ΠΎΠ»Π°ΠΌΠ° ΠΈ ΠΌΠΈΠΎΡΠ΅Π»Π°ΠΊΡΠ°Π½ΡΠΎΠ². Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ. ΠΠΎ Π²ΡΠ΅ΠΌΡ Π°ΠΊΡΠΈΠ²ΠΈΠ·Π°ΡΠΈΠΈ Π½Π΅ Π±ΡΠ»ΠΎ ΠΌΠ΅ΠΆΠ³ΡΡΠΏΠΏΠΎΠ²ΡΡ
ΠΎΡΠ»ΠΈΡΠΈΠΉ Π² ΡΡΠ΅Π΄Π½Π΅ΠΌ ΡΡΠΎΠ²Π½Π΅ ΠΎΡΠ½ΠΎΠ²Π½ΡΡ
ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ² Π½Π°ΡΠΎΡΠ½ΠΎΠΉ ΡΡΠ½ΠΊΡΠΈΠΈ ΡΠ΅ΡΠ΄ΡΠ°, Π΄Π΅ΡΠ΅ΡΠΌΠΈΠ½Π°Π½ΡΠ°Ρ
ΠΊΠΎΡΠΎΠ½Π°ΡΠ½ΠΎΠ³ΠΎ ΠΊΡΠΎΠ²ΠΎΡΠΎΠΊΠ° (ΠΊΠΎΡΠΎΠ½Π°ΡΠ½ΡΠ΅ ΠΏΠ΅ΡΡΡΠ·ΠΈΠΎΠ½Π½ΡΠ΅ Π³ΡΠ°Π΄ΠΈΠ΅Π½ΡΡ) ΠΈ ΠΏΠΎΡΡΠ΅Π±Π½ΠΎΡΡΠΈ ΠΌΠΈΠΎΠΊΠ°ΡΠ΄Π° Π² ΠΊΠΈΡΠ»ΠΎΡΠΎΠ΄Π΅ (ΠΏΡΠΎΠΈΠ·Π²Π΅Π΄Π΅Π½ΠΈΠ΅ ΡΠ°ΡΡΠΎΡΡ ΡΠ΅ΡΠ΄Π΅ΡΠ½ΡΡ
ΡΠΎΠΊΡΠ°ΡΠ΅Π½ΠΈΠΉ Π½Π° ΡΠΈΡΡΠΎΠ»ΠΈΡΠ΅ΡΠΊΠΎΠ΅ Π°ΡΡΠ΅ΡΠΈΠ°Π»ΡΠ½ΠΎΠ΅ Π΄Π°Π²Π»Π΅Π½ΠΈΠ΅), Π° ΡΠ°ΠΊΠΆΠ΅ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΡΡ
ΡΡΠ°Π½ΡΠΏΠΎΡΡΠ° ΠΊΠΈΡΠ»ΠΎΡΠΎΠ΄Π°, Π²ΠΊΠ»ΡΡΠ°Ρ Π°ΡΡΠ΅ΡΠΈΠ°Π»ΡΠ½ΡΡ Π»Π°ΠΊΡΠ°ΡΠ΅ΠΌΠΈΡ. ΠΠΎΡΠ»Π΅ ΡΠΊΡ-ΡΡΠ±Π°ΡΠΈΠΈ ΡΡΠ°Ρ
Π΅ΠΈ ΡΡΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎ (
EmoEye: Π°ΠΉΡΡΠ΅ΠΊΠ΅Ρ ΠΈ Π±ΠΈΠΎΠΌΠ΅ΡΡΠΈΡΠ΅ΡΠΊΠ°Ρ Π±Π°Π·Π° Π΄Π°Π½Π½ΡΡ Π΄Π»Ρ ΡΠ°ΡΠΏΠΎΠ·Π½Π°Π²Π°Π½ΠΈΡ ΡΠΌΠΎΡΠΈΠΉ
Original manuscript received February 01, 2023. Revised manuscript accepted February 20, 2023.Emotion recognition using Machine Learning algorithms is often used both in science and commerce. Responding to the demand for deep learning techniques of automatic emotion detection using biological signals and our own business needs as a neuromarketing laboratory, we created a large dataset of eye tracking and biometrics data suitable for emotion recognition tasks. The EmoEye database sample consisted of 200 people (147 women, 49 men, 4 non-binary individuals; 27.46 Β± 11.45 years old). Each respondent was asked to view 316 images from the Open Affective Standardized Image Set (OASIS) and rate them on arousal and valence scales from the Self-Assessment Manikin questionnaire. Eye tracking, galvanic skin response (GSR), and photoplethysmogram were recorded throughout the experiment. Demographic data was also collected for each respondent. The image ratings on the valence scale did not differ statistically from the standard ratings of the corresponding images for the original stimulus base. The overall distribution trends of ratings on both scales for different categories of images were similar for standard ratings and ratings obtained from our respondents. As a result of this study, a corpus of GSR, heart rate variability and eye movement reactions data (fixation coordinates; fixation duration; average pupil size for the right and left eye) was compiled and successfully trained on a multimodal neural network algorithm within our laboratory and is ready for further implementation.Π Π°ΡΠΏΠΎΠ·Π½Π°Π²Π°Π½ΠΈΠ΅ ΡΠΌΠΎΡΠΈΠΉ Ρ ΠΏΠΎΠΌΠΎΡΡΡ Π°Π»Π³ΠΎΡΠΈΡΠΌΠΎΠ² ΠΌΠ°ΡΠΈΠ½Π½ΠΎΠ³ΠΎ ΠΎΠ±ΡΡΠ΅Π½ΠΈΡ ΡΠ°ΡΡΠΎ ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΠ΅ΡΡΡ ΠΊΠ°ΠΊ Π² Π½Π°ΡΠΊΠ΅, ΡΠ°ΠΊ ΠΈ Π² ΠΊΠΎΠΌΠΌΠ΅ΡΡΠΈΠΈ. Π‘ ΠΏΠΎΠΌΠΎΡΡΡ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² Π³Π»ΡΠ±ΠΎΠΊΠΎΠ³ΠΎ ΠΎΠ±ΡΡΠ΅Π½ΠΈΡ Π΄Π»Ρ Π°Π²ΡΠΎΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΎΠ±Π½Π°ΡΡΠΆΠ΅Π½ΠΈΡ ΡΠΌΠΎΡΠΈΠΉ Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ Π±ΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠΈΠ³Π½Π°Π»ΠΎΠ² ΠΌΡ ΠΏΠΎΠ΄Π³ΠΎΡΠΎΠ²ΠΈΠ»ΠΈ Π½Π°Π±ΠΎΡ Π΄Π°Π½Π½ΡΡ
Π΄Π»Ρ Π°ΠΉΡΡΠ΅ΠΊΠΈΠ½Π³Π° ΠΈ Π±ΠΈΠΎΠΌΠ΅ΡΡΠΈΡΠ΅ΡΠΊΠΈΡ
Π΄Π°Π½Π½ΡΡ
, ΠΏΠΎΠ΄Ρ
ΠΎΠ΄ΡΡΠΈΡ
Π΄Π»Ρ Π·Π°Π΄Π°Ρ ΡΠ°ΡΠΏΠΎΠ·Π½Π°Π²Π°Π½ΠΈΡ ΡΠΌΠΎΡΠΈΠΉ. ΠΡΠ±ΠΎΡΠΊΠ° Π±Π°Π·Ρ Π΄Π°Π½Π½ΡΡ
EmoEye ΡΠΎΡΡΠΎΡΠ»Π° ΠΈΠ· 200 ΡΠ΅Π»ΠΎΠ²Π΅ΠΊ (147 ΠΆΠ΅Π½ΡΠΈΠ½, 49 ΠΌΡΠΆΡΠΈΠ½, 4 Π½Π΅Π±ΠΈΠ½Π°ΡΠ½ΡΡ
ΠΈΠ½Π΄ΠΈΠ²ΠΈΠ΄ΡΡΠΌΠ°; 27,46 Β± 11,45 Π»Π΅Ρ). ΠΠ°ΠΆΠ΄ΠΎΠΌΡ ΡΠ΅ΡΠΏΠΎΠ½Π΄Π΅Π½ΡΡ Π±ΡΠ»ΠΎ ΠΏΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½ΠΎ ΠΏΡΠΎΡΠΌΠΎΡΡΠ΅ΡΡ 316 ΠΈΠ·ΠΎΠ±ΡΠ°ΠΆΠ΅Π½ΠΈΠΉ ΠΈΠ· ΠΎΡΠΊΡΡΡΠΎΠ³ΠΎ Π°ΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΠ³ΠΎ ΡΡΠ°Π½Π΄Π°ΡΡΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠ³ΠΎ Π½Π°Π±ΠΎΡΠ° ΠΈΠ·ΠΎΠ±ΡΠ°ΠΆΠ΅Π½ΠΈΠΉ (OASIS) ΠΈ ΠΎΡΠ΅Π½ΠΈΡΡ ΠΈΡ
ΠΏΠΎ ΡΠΊΠ°Π»Π°ΠΌ Π²ΠΎΠ·Π±ΡΠΆΠ΄Π΅Π½ΠΈΡ ΠΈ Π²Π°Π»Π΅Π½ΡΠ½ΠΎΡΡΠΈ ΠΈΠ· ΠΎΠΏΡΠΎΡΠ½ΠΈΠΊΠ° Β«ΠΠ°Π½Π΅ΠΊΠ΅Π½ ΡΠ°ΠΌΠΎΠΎΡΠ΅Π½ΠΊΠΈΒ». ΠΡΡΠ»Π΅ΠΆΠΈΠ²Π°Π½ΠΈΠ΅ Π²Π·Π³Π»ΡΠ΄Π°, ΠΊΠΎΠΆΠ½ΠΎ-Π³Π°Π»ΡΠ²Π°Π½ΠΈΡΠ΅ΡΠΊΠ°Ρ ΡΠ΅Π°ΠΊΡΠΈΡ (GSR) ΠΈ ΡΠΎΡΠΎΠΏΠ»Π΅ΡΠΈΠ·ΠΌΠΎΠ³ΡΠ°ΠΌΠΌΠ° ΡΠ΅Π³ΠΈΡΡΡΠΈΡΠΎΠ²Π°Π»ΠΈΡΡ Π½Π° ΠΏΡΠΎΡΡΠΆΠ΅Π½ΠΈΠΈ Π²ΡΠ΅Π³ΠΎ ΡΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΠ°. Π’Π°ΠΊΠΆΠ΅ Π±ΡΠ»ΠΈ ΡΠΎΠ±ΡΠ°Π½Ρ Π΄Π΅ΠΌΠΎΠ³ΡΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ Π΄Π°Π½Π½ΡΠ΅ ΠΏΠΎ ΠΊΠ°ΠΆΠ΄ΠΎΠΌΡ ΡΠ΅ΡΠΏΠΎΠ½Π΄Π΅Π½ΡΡ. ΠΡΠ΅Π½ΠΊΠΈ ΠΈΠ·ΠΎΠ±ΡΠ°ΠΆΠ΅Π½ΠΈΠΉ ΠΏΠΎ Π²Π°Π»Π΅Π½ΡΠ½ΠΎΠΉ ΡΠΊΠ°Π»Π΅ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈ Π½Π΅ ΠΎΡΠ»ΠΈΡΠ°Π»ΠΈΡΡ ΠΎΡ ΡΡΠ°Π½Π΄Π°ΡΡΠ½ΡΡ
ΠΎΡΠ΅Π½ΠΎΠΊ ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΡΡΡΠΈΡ
ΠΈΠ·ΠΎΠ±ΡΠ°ΠΆΠ΅Π½ΠΈΠΉ Π΄Π»Ρ ΠΈΡΡ
ΠΎΠ΄Π½ΠΎΠΉ Π±Π°Π·Ρ ΡΡΠΈΠΌΡΠ»ΠΎΠ². ΠΠ±ΡΠΈΠ΅ ΡΠ΅Π½Π΄Π΅Π½ΡΠΈΠΈ ΡΠ°ΡΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡ ΠΎΡΠ΅Π½ΠΎΠΊ ΠΏΠΎ ΠΎΠ±Π΅ΠΈΠΌ ΡΠΊΠ°Π»Π°ΠΌ Π΄Π»Ρ ΡΠ°Π·Π½ΡΡ
ΠΊΠ°ΡΠ΅Π³ΠΎΡΠΈΠΉ ΠΈΠ·ΠΎΠ±ΡΠ°ΠΆΠ΅Π½ΠΈΠΉ Π±ΡΠ»ΠΈ ΠΎΠ΄ΠΈΠ½Π°ΠΊΠΎΠ²ΡΠΌΠΈ Π΄Π»Ρ ΡΡΠ°Π½Π΄Π°ΡΡΠ½ΡΡ
ΠΎΡΠ΅Π½ΠΎΠΊ ΠΈ ΠΎΡΠ΅Π½ΠΎΠΊ, ΠΊΠΎΡΠΎΡΡΠ΅ Π±ΡΠ»ΠΈ Π΄Π°Π½Ρ Π½Π°ΡΠΈΠΌΠΈ ΡΠ΅ΡΠΏΠΎΠ½Π΄Π΅Π½ΡΠ°ΠΌΠΈ. Π ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠ΅ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ Π² ΡΠ°ΠΌΠΊΠ°Ρ
Π½Π°ΡΠ΅ΠΉ Π»Π°Π±ΠΎΡΠ°ΡΠΎΡΠΈΠΈ Π±ΡΠ»ΠΈ ΠΏΠΎΠ»ΡΡΠ΅Π½Ρ Π΄Π°Π½Π½ΡΠ΅ ΠΎ GSR, Π²Π°ΡΠΈΠ°Π±Π΅Π»ΡΠ½ΠΎΡΡΠΈ ΡΠ΅ΡΠ΄Π΅ΡΠ½ΠΎΠ³ΠΎ ΡΠΈΡΠΌΠ° ΠΈ ΡΠ΅Π°ΠΊΡΠΈΡΡ
Π΄Π²ΠΈΠΆΠ΅Π½ΠΈΡ Π³Π»Π°Π· (ΠΊΠΎΠΎΡΠ΄ΠΈΠ½Π°ΡΡ ΡΠΈΠΊΡΠ°ΡΠΈΠΈ; Π΄Π»ΠΈΡΠ΅Π»ΡΠ½ΠΎΡΡΡ ΡΠΈΠΊΡΠ°ΡΠΈΠΈ; ΡΡΠ΅Π΄Π½ΠΈΠΉ ΡΠ°Π·ΠΌΠ΅Ρ Π·ΡΠ°ΡΠΊΠ° Π΄Π»Ρ ΠΏΡΠ°Π²ΠΎΠ³ΠΎ ΠΈ Π»Π΅Π²ΠΎΠ³ΠΎ Π³Π»Π°Π·Π°), ΠΊΠΎΡΠΎΡΡΠ΅ Π±ΡΠ»ΠΈ ΡΡΠΏΠ΅ΡΠ½ΠΎ ΡΠ΅Π°Π»ΠΈΠ·ΠΎΠ²Π°Π½Ρ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ ΠΌΡΠ»ΡΡΠΈΠΌΠΎΠ΄Π°Π»ΡΠ½ΠΎΠ³ΠΎ Π½Π΅ΠΉΡΠΎΡΠ΅ΡΠ΅Π²ΠΎΠ³ΠΎ Π°Π»Π³ΠΎΡΠΈΡΠΌΠ° ΠΈ Π³ΠΎΡΠΎΠ²Ρ ΠΊ Π²Π½Π΅Π΄ΡΠ΅Π½ΠΈΡ
Transcriptional profile of breast muscle in heat stressed layers is similar to that of broiler chickens at control temperature
Abstract Background In recent years, the commercial importance of changes in muscle function of broiler chickens and of the corresponding effects on meat quality has increased. Furthermore, broilers are more sensitive to heat stress during transport and at high ambient temperatures than smaller egg-laying chickens. We hypothesised that heat stress would amplify muscle damage and expression of genes that are involved in such changes and, thus, lead to the identification of pathways and networks associated with broiler muscle and meat quality traits. Broiler and layer chickens were exposed to control or high ambient temperatures to characterise differences in gene expression between the two genotypes and the two environments. Results Whole-genome expression studies in breast muscles of broiler and layer chickens were conducted before and after heat stress; 2213 differentially-expressed genes were detected based on a significant (PΒ <Β 0.05) genotypeΒ ΓΒ treatment interaction. This gene set was analysed with the BioLayout Express3D and Ingenuity Pathway Analysis software and relevant biological pathways and networks were identified. Genes involved in functions related to inflammatory reactions, cell death, oxidative stress and tissue damage were upregulated in control broilers compared with control and heat-stressed layers. Expression of these genes was further increased in heat-stressed broilers. Conclusions Differences in gene expression between broiler and layer chickens under control and heat stress conditions suggest that damage of breast muscles in broilers at normal ambient temperatures is similar to that in heat-stressed layers and is amplified when broilers are exposed to heat stress. The patterns of gene expression of the two genotypes under heat stress were almost the polar opposite of each other, which is consistent with the conclusion that broiler chickens were not able to cope with heat stress by dissipating their body heat. The differentially expressed gene networks and pathways were consistent with the pathological changes that are observed in the breast muscle of heat-stressed broilers