Objective:To construct a predictive model for mortality in patients with multiple trauma combined with thoracic injuries and evaluate its predictive value.Methods:A retrospective cohort study was conducted to analyze the clinical data of 184 patients with multiple trauma combined with thoracic injuries admitted to the International Zhuang Medicine Hospital Affiliated to Guangxi University of Chinese Medicine from April 2019 to December 2023, including 129 males and 55 females, aged 19-85 years [(46.1±13.7)years]. According to the prognostic outcomes at 3-month follow-up after discharge, the patients were divided into survival group ( n=145) and death group ( n=39). Data were recorded in both groups at admission, including gender, age, and cause of injury, laboratory tests such as systolic blood pressure, oxygen saturation (SaO 2), hemoglobin (Hb), neutrophil-to-lymphocyte ratio (NLR), and lactate, combined injuries such as the number of combined injuries, number of rib fracture, bilateral rib fracture, first-rib fracture, sternum fracture, thoracic vertebral fracture, bilateral pulmonary contusion, bilateral pneumothorax, subarachnoid hemorrhage, subdural hematoma, epidural hematoma, skull fracture, skull base fracture, cervical vertebral fracture, brain herniation, cerebral contusion, lumbar vertebral fracture, pelvic and abdominal cavity hematoma, liver injury, kidney injury, spleen injury, clavicle fracture, scapular fracture, femoral fracture, and pelvic fracture, and injury scores such as shock index (SI), modified shock index (MSI), injury severity score (ISS), revised trauma score (RTS), Glasgow coma score (GCS), and thoracic trauma severity (TTS) score. Univariate binary logistic regression analysis was used to screen for risk factors of death in patients with multiple trauma combined with thoracic injuries. LASSO regression and multivariate logistic regression analysis were employed to identify predictive variables and independent risk factors for mortality in those patients and to construct a regression equation. A nomogram prediction model based on the regression equation was developed using R language. Receiver operating characteristic (ROC) curves were plotted to evaluate the discrimination of the model. The ROC curves were internally validated using the Bootstrap method with 1 000 resamples. The calibration of the model was assessed using the Hosmer-Lemeshow (H-L) goodness-of-fit test. The clinical application value of the model was evaluated using decision curve analysis (DCA) and clinical impact curve (CIC) analysis. Results:There were statistically significant differences between the survival group and the death group in systolic blood pressure, SaO 2, NLR, lactate, number of combined injuries, subarachnoid hemorrhage, subdural hematoma, skull fracture, skull base fracture, brain herniation, liver injury, SI, MSI, ISS, RTS, GCS, and TTS ( P<0.05 or 0.01). The results of the univariate binary logistic regression analysis showed that the above-mentioned related variables except for systolic blood pressure were all significantly associated with death in patients with multiple trauma combined with thoracic injuries ( P<0.05 or 0.01). Five predictive variables, TTS, GCS, brain herniation, ISS, and lactate were obtained in LASSO regression analysis. The results of the multivariate logistic regression analysis showed that GCS ( OR=0.70, 95% CI 0.58, 0.83), brain herniation ( OR=46.18, 95% CI 4.27, 499.26), TTS ( OR=1.71, 95% CI 1.30, 2.24), and lactate ( OR=1.35, 95% CI 1.01, 1.80) were independent risk factors for death in patients with multiple trauma combined with thoracic injuries ( P<0.05 or 0.01). Based on the aforementioned independent risk factors, a regression formula was constructed as follows: P=e x/(1+e x), with the x=-0.36×"GCS"+3.83×"brain herniation"+0.53×"TTS"+0.30×"lactate levels"-11.03. The area under the ROC curve (AUC) of the predictive model for mortality in patients with multiple trauma combined with thoracic injuries based on the equation was 0.97 (95% CI 0.93, 1.00). The AUC was internally validated using the Bootstrap method with 1 000 samples, resulting in an AUC of 0.97 (95% CI 0.91, 1.00). The results of the H-L goodness-of-fit test showed that the bias-corrected calibration curve of the model was in good consistence with the actual curve and both of them were close to the ideal curve. In the evaluation of the clinical application value of the predictive model, the DCA results showed that the predictive model could achieve good clinical net benefit. The CIC results showed that when the threshold probability was greater than 0.7, the model-identified high-risk patients for death highly matched the patients who actually died. Conclusion:The predictive model for mortality in patients with multiple trauma combined with thoracic injuries based on GCS, brain herniation, TTS, and lactate has good predictive performance and clinical application value.

Nonunion of osteoporotic vertebral fractures (OVF), predominantly affecting the elderly, can lead to intractable pain, vertebral collapse, progressive kyphotic deformity, and neurological impairment, significantly compromising patients′ quality of life. There exists considerable debate on diagnosis and management of OVF, encompassing key issues such as clinical diagnosis and staging criteria for nonunion, surgical indications and procedure selection, and postoperative rehabilitation planning. Currently, there lacks standardized clinical guideline and expert consensus on the diagnosis and management of OVF nonunion in China. To address this gap, Minimally Invasive Surgery Group of Chinese Orthopedic Association, Osteoporosis Committee of Chinese Association of Orthopedic Surgeons, Prevention and Rehabilitation Committee for Osteoporosis of Chinese Association of Rehabilitation Medicine and Minimally Invasive Orthopedic Surgery Branch of China Association for Geriatric Care jointly organized domestic experts in spinal surgery, endocrinology, and rehabilitation to formulate the Clinical guideline for the diagnosis and treatment for nonunion of osteoporotic vertebral fractures ( version 2025), based on existing literature and clinical experience and adhering to principles of scientific rigor and practicality. The guideline provided 13 evidence-based recommendations encompassing diagnosis and treatment of OVF nonunion, aiming to standardize its clinical management.

Alzheimer's disease(AD),a progressive dementia,is one of the most common neurodegenerative dis-eases.Clinical trial results of amyloid-β(Aβ)and tau regulators based on the pretext of straightforward amyloid and tau immunotherapy were disappointing.There are currently no effective strategies for slowing the progression of AD.Herein,we spotlight the dysregulation of lipid metabolism,particularly the elevation of ceramides(Cers),as a critical yet underexplored facet of AD pathogenesis.Our study delineates the role of Cers in promoting microglial pyroptosis,a form of programmed cell death distinct from apoptosis and necroptosis,characterized by cellular swelling,and membrane rupture mediated by the NLRP3 inflammasome pathway.Utilizing both in vivo experiments with amyloid precursor protein(APP)/presenilin 1(PS1)transgenic mice and in vitro assays with BV-2 microglial cells,we investigate the activation of microglial pyroptosis by Cers and its inhibition by icariin(ICA),a flavonoid with known antioxidant and anti-inflammatory properties.Our findings reveal a significant increase in Cers levels and pyroptosis markers(NOD-like receptor family,pyrin domain containing 3(NLRP3),apoptosis-associated speck-like protein containing a caspase recruitment domain,caspase-1,gasdermin D(GSDMD),and interleukin-18(IL-18))in the brains of AD model mice,indicating a direct involvement of Cers in AD pathology through the induction of microglial pyroptosis.Conversely,ICA treatment effec-tively reduces these pyroptotic markers and Cer levels,thereby attenuating microglial pyroptosis and suggesting a novel therapeutic mechanism of action against AD.This study not only advances our un-derstanding of the pathogenic role of Cers in AD but also introduces ICA as a promising candidate for AD therapy,capable of mitigating neuroinflammation and pyroptosis through the cyclooxygenase-2(COX-2)-NLRP3 inflammasome-gasdermin D(GSDMD)axis.Our results pave the way for further exploration of Cer metabolism disorders in neurodegenerative diseases and highlight the therapeutic potential of tar-geting microglial pyroptosis in AD.

Objective To investigate the effects of sleep deprivation on the firing activity of hippocampal parvalbumin-expressing interneuron(PV-IN)of mice during trace eyeblink conditioning(tEBC)training and during recovery sleep.Methods A total of 15 PV-Cre mice were randomly assigned into a sleep deprivation group(n=8)and a control group(n=7).After daily tEBC training,the sleep deprivation group experienced 1.5 h of sleep deprivation followed by 1.5 h of recovery sleep,and the control group mice were allowed to sleep freely,for 5 consecutive days.Multichannel recording and optogenetic techniques was applied to identify the hippocampal PV-IN in vivo.Results The sleep deprived mice failed to show significant increase in the incidence of conditioned eyeblink response(CR)across 5 training days(P>0.05).On training days 3～5,the CR incidence was significantly lower in the sleep deprived mice than the control mice(P<0.05).The enhancement of conditioned stimulus(CS)-evoked firing activity in hippocampal PV-INs during tEBC training was significantly lower in the sleep deprived mice when compared to the control mice(P<0.05).The sleep deprived mice obtained notably strengthened firing activity of hippocampal PV-INs peri sharp wave ripple events during recovery sleep period when compared with the pre-training sleep period(P<0.05),and the enhancement was remarkably greater than that in the control mice(P<0.05).Sleep deprivation had no obvious effects on the firing activity of hippocampal non PV-IN during either tEBC training or recovery sleep(P>0.05).Conclusion Sleep deprivation produces dual effects on the firing activities of hippocampal PV-INs during tEBC training and recovery sleep.These effects may be the cellular mechanisms of tEBC memory formation and consolidation disorders caused by sleep deprivation.

Alzheimer's disease (AD), a progressive dementia, is one of the most common neurodegenerative diseases. Clinical trial results of amyloid-β (Aβ) and tau regulators based on the pretext of straightforward amyloid and tau immunotherapy were disappointing. There are currently no effective strategies for slowing the progression of AD. Herein, we spotlight the dysregulation of lipid metabolism, particularly the elevation of ceramides (Cers), as a critical yet underexplored facet of AD pathogenesis. Our study delineates the role of Cers in promoting microglial pyroptosis, a form of programmed cell death distinct from apoptosis and necroptosis, characterized by cellular swelling, and membrane rupture mediated by the NLRP3 inflammasome pathway. Utilizing both in vivo experiments with amyloid precursor protein (APP)/presenilin 1 (PS1) transgenic mice and in vitro assays with BV-2 microglial cells, we investigate the activation of microglial pyroptosis by Cers and its inhibition by icariin (ICA), a flavonoid with known antioxidant and anti-inflammatory properties. Our findings reveal a significant increase in Cers levels and pyroptosis markers (NOD-like receptor family, pyrin domain containing 3 (NLRP3), apoptosis-associated speck-like protein containing a caspase recruitment domain, caspase-1, gasdermin D (gasdermin D (GSDMD)), and interleukin-18 (IL-18)) in the brains of AD model mice, indicating a direct involvement of Cers in AD pathology through the induction of microglial pyroptosis. Conversely, ICA treatment effectively reduces these pyroptotic markers and Cer levels, thereby attenuating microglial pyroptosis and suggesting a novel therapeutic mechanism of action against AD. This study not only advances our understanding of the pathogenic role of Cers in AD but also introduces ICA as a promising candidate for AD therapy, capable of mitigating neuroinflammation and pyroptosis through the cyclooxygenase-2 (COX-2)-NLRP3 inflammasome-gasdermin D (GSDMD) axis. Our results pave the way for further exploration of Cer metabolism disorders in neurodegenerative diseases and highlight the therapeutic potential of targeting microglial pyroptosis in AD.

Objective:To construct a predictive model for mortality in patients with multiple trauma combined with thoracic injuries and evaluate its predictive value.Methods:A retrospective cohort study was conducted to analyze the clinical data of 184 patients with multiple trauma combined with thoracic injuries admitted to the International Zhuang Medicine Hospital Affiliated to Guangxi University of Chinese Medicine from April 2019 to December 2023, including 129 males and 55 females, aged 19-85 years [(46.1±13.7)years]. According to the prognostic outcomes at 3-month follow-up after discharge, the patients were divided into survival group ( n=145) and death group ( n=39). Data were recorded in both groups at admission, including gender, age, and cause of injury, laboratory tests such as systolic blood pressure, oxygen saturation (SaO 2), hemoglobin (Hb), neutrophil-to-lymphocyte ratio (NLR), and lactate, combined injuries such as the number of combined injuries, number of rib fracture, bilateral rib fracture, first-rib fracture, sternum fracture, thoracic vertebral fracture, bilateral pulmonary contusion, bilateral pneumothorax, subarachnoid hemorrhage, subdural hematoma, epidural hematoma, skull fracture, skull base fracture, cervical vertebral fracture, brain herniation, cerebral contusion, lumbar vertebral fracture, pelvic and abdominal cavity hematoma, liver injury, kidney injury, spleen injury, clavicle fracture, scapular fracture, femoral fracture, and pelvic fracture, and injury scores such as shock index (SI), modified shock index (MSI), injury severity score (ISS), revised trauma score (RTS), Glasgow coma score (GCS), and thoracic trauma severity (TTS) score. Univariate binary logistic regression analysis was used to screen for risk factors of death in patients with multiple trauma combined with thoracic injuries. LASSO regression and multivariate logistic regression analysis were employed to identify predictive variables and independent risk factors for mortality in those patients and to construct a regression equation. A nomogram prediction model based on the regression equation was developed using R language. Receiver operating characteristic (ROC) curves were plotted to evaluate the discrimination of the model. The ROC curves were internally validated using the Bootstrap method with 1 000 resamples. The calibration of the model was assessed using the Hosmer-Lemeshow (H-L) goodness-of-fit test. The clinical application value of the model was evaluated using decision curve analysis (DCA) and clinical impact curve (CIC) analysis. Results:There were statistically significant differences between the survival group and the death group in systolic blood pressure, SaO 2, NLR, lactate, number of combined injuries, subarachnoid hemorrhage, subdural hematoma, skull fracture, skull base fracture, brain herniation, liver injury, SI, MSI, ISS, RTS, GCS, and TTS ( P<0.05 or 0.01). The results of the univariate binary logistic regression analysis showed that the above-mentioned related variables except for systolic blood pressure were all significantly associated with death in patients with multiple trauma combined with thoracic injuries ( P<0.05 or 0.01). Five predictive variables, TTS, GCS, brain herniation, ISS, and lactate were obtained in LASSO regression analysis. The results of the multivariate logistic regression analysis showed that GCS ( OR=0.70, 95% CI 0.58, 0.83), brain herniation ( OR=46.18, 95% CI 4.27, 499.26), TTS ( OR=1.71, 95% CI 1.30, 2.24), and lactate ( OR=1.35, 95% CI 1.01, 1.80) were independent risk factors for death in patients with multiple trauma combined with thoracic injuries ( P<0.05 or 0.01). Based on the aforementioned independent risk factors, a regression formula was constructed as follows: P=e x/(1+e x), with the x=-0.36×"GCS"+3.83×"brain herniation"+0.53×"TTS"+0.30×"lactate levels"-11.03. The area under the ROC curve (AUC) of the predictive model for mortality in patients with multiple trauma combined with thoracic injuries based on the equation was 0.97 (95% CI 0.93, 1.00). The AUC was internally validated using the Bootstrap method with 1 000 samples, resulting in an AUC of 0.97 (95% CI 0.91, 1.00). The results of the H-L goodness-of-fit test showed that the bias-corrected calibration curve of the model was in good consistence with the actual curve and both of them were close to the ideal curve. In the evaluation of the clinical application value of the predictive model, the DCA results showed that the predictive model could achieve good clinical net benefit. The CIC results showed that when the threshold probability was greater than 0.7, the model-identified high-risk patients for death highly matched the patients who actually died. Conclusion:The predictive model for mortality in patients with multiple trauma combined with thoracic injuries based on GCS, brain herniation, TTS, and lactate has good predictive performance and clinical application value.

Nonunion of osteoporotic vertebral fractures (OVF), predominantly affecting the elderly, can lead to intractable pain, vertebral collapse, progressive kyphotic deformity, and neurological impairment, significantly compromising patients′ quality of life. There exists considerable debate on diagnosis and management of OVF, encompassing key issues such as clinical diagnosis and staging criteria for nonunion, surgical indications and procedure selection, and postoperative rehabilitation planning. Currently, there lacks standardized clinical guideline and expert consensus on the diagnosis and management of OVF nonunion in China. To address this gap, Minimally Invasive Surgery Group of Chinese Orthopedic Association, Osteoporosis Committee of Chinese Association of Orthopedic Surgeons, Prevention and Rehabilitation Committee for Osteoporosis of Chinese Association of Rehabilitation Medicine and Minimally Invasive Orthopedic Surgery Branch of China Association for Geriatric Care jointly organized domestic experts in spinal surgery, endocrinology, and rehabilitation to formulate the Clinical guideline for the diagnosis and treatment for nonunion of osteoporotic vertebral fractures ( version 2025), based on existing literature and clinical experience and adhering to principles of scientific rigor and practicality. The guideline provided 13 evidence-based recommendations encompassing diagnosis and treatment of OVF nonunion, aiming to standardize its clinical management.

Objective: To explore the application of endoscopic tattooing with carbon nanoparticles in the treatment of advanced colorectal cancer (ACRC). Methods: A randomized controlled study was used. Inclusion criteria: (1) age more than 18 years old, and colorectal cancer was found for the first time and confirmed by colonoscopy and biopsy; (2) advanced colorectal cancer (preoperative TNM stage of T3/N1 or above, local unresectable lesion, M1 stage and simultaneously resectable metastatic lesion), and patients agreed to receive neoadjuvant therapy; (3) advanced colorectal cancer (TNM stage of T3/N1 or above) with simultaneous unresectable metastatic lesion, and patients refused operation and consented to chemoradiotherapy. Patients with previous abdominal surgery history, radiotherapy and chemotherapy history, urgent need for surgery or endoscopic stent placement and those with severe allergic constitution were excluded. Based on the above criteria, 120 patients diagnosed with ACRC in No.900 Hospital of the Joint Logistics Team from January 2016 to December 2017 were prospectively enrolled and randomly divided into tattoo group and non-tattoo group by random number table method. Tattoo group were tattooed within 1-7 days before chemoradiotherapy. The labeling location of the lesions: (1) if the colonoscopy could pass smoothly, 4 points were injected into the intestinal wall of the both opposite sides 1 cm cephalad and caudad of the tumor; (2) if the colorectal cavity was severely narrow and the colonoscopy could not pass, only 4 points were injected in 4 quadrants at 1 cm caudad of the tumor. Each injection point was injected with 0.1 ml carbon nanoparticles, and the size of the tumor was measured according to the range of carbon nanoparticles staining. The efficacy was evaluated after 8 weeks of chemoradiotherapy. Patients who were defined to be suitable for operation underwent operation 6 weeks after chemoradiotherapy. The following parameters were compared between two groups: lesion identification time, operation time, blood loss, distance from lesion to distal margin, the rate of first positive margin and the rate of anal sphincter preservation (rectal cancer). Among patients who had been evaluated as having no indication for surgery, those who were effective in chemoradiotherapy continued to receive chemotherapy in the original regimen; if the treatment failed, the chemotherapy regimen was replaced, and the efficacy was finally evaluated after six months [referring to the revised RECIST guidelines (version 1.1)]. Results: Three patients withdrew from this study, and 117 patients were enrolled in this study finally, including 59 cases in tattoo group and 58 cases in the non-tattoo group. There were no significant differences in baseline data between two groups (all P>0.05). All the patients had slight adverse reactions of radiotherapy and chemotherapy before operation, and could tolerate after symptomatic management without interruption of treatment. All the patients in the tattoo group had no discomfort such as fever, abdominal pain, abdominal distention, hematochezia, etc. and the intestinal mucosa could be seen clearly with black staining after being tattooed. A total of 77 patients were evaluated with surgical indications, including 39 cases in the tattoo group (tattoo-operable) and 38 cases in the non-tattoo group (non-tattoo-operatable). There were no significant differences in baseline data between the two groups (all P>0.05). Forty patients without operation indications continued chemoradiotherapy, including 20 cases in tattoo group (tattoo-inoperable) and 20 cases in non-tattoo group (non-tattoo-inoperable), whose differences in baseline data between the two groups were not significant as well (all P>0.05). No obvious edema, necrosis or abscess were found in the tattooed segments and the black spots could be seen quickly and clearly on the serosa of rectum in tattoo-operable patients. As compared to non-tattoo group, tattoo group had significantly shorter lesion identification time [(3.4±1.4) minutes vs. (11.8±3.4) minutes, t=-14.07,P<0.001], shorter operation time [(155.7±44.5) minutes vs. (177.2±30.2) minutes, t=-2.48,P=0.015], less blood loss [(101.3±36.7) ml vs.(120.2±38.2) ml, t=-2.22,P=0.029], shorter distance from lesion to distal margin [(3.7±1.0) cm vs. (4.6±1.7) cm, t=-2.20, P=0.034], while tattoo group had slightly higher rate of anal sphincter preservation [66.7%(16/24) vs. 45.5%(10/22), χ²=2.10,P=0.234] and lower rate of first positive resection margin [0 vs. 4.5%(1/22), χ²=0.62,P=0.480], but their differences were not significant. There were no significant differences in the degree of tumor differentiation and TNM stage between two groups. Patients without operative indication were evaluated for efficacy of chemoradiotherapy again after half a year. One case of complete response (CR), 8 of partial response (PR), 10 of stable disease (SD) and 1 of progressive disease (PD) were found and the improvement rate was 45.0% (9/20) in tattoo-inoperable patients. No case of CR, 6 of PR, 11 of SD and 3 of PD were found and the improvement rate was 30.0% (6/20) in non-tattoo-inoperable patients. There was no significant difference in the improvement rate between the two groups (P=0.514). Conclusions Endoscopic tattooing with carbon nanoparticles injection is safe and reliable for colorectal tumor positioning. It can assist rapid detection of lesions during surgery after neoadjuvant treatment, perform accurate resection, significantly shorten the operation time and reduce surgical trauma; can assist colonoscopy accurately to measure the size of the lesions before and after chemoradiotherapy, and increase the means of assessing the efficacy to guide the follow-up treatment plan. This technique is worth clinical promotion and application.

Intestinal flora plays an important role in promoting digestion,maintaining intestinal physiological function and regulating immune system. In recent years,it is found that intestinal flora not only regulates intestinal activity,but also affects the brain function and behavior. Early studies have shown that changes in probiotics may lead to alteration in brain function and mood. Studying the influence of intestinal flora on brain function helps us to catch on the pathogenesis of mental disorders such as autism,and expand our comprehension on the mechanism of brain activity as well. This article reviewed the advances in study on affecting pathway of intestinal flora on brain.

ObjectiveTo study the feasibility of analyzing photosensitizers absorbing process by cells based on image processing technology.MethodsFluorescence images of Laryngeal cells were taken by inverted fluorescence microscope after adding photosensitizers for a certain time.Parameter L that reflects the fluorescence intensity of cells in different times was obtained and the calculation results were compared.ResultsThe fluorescence intensity of cells increased over time.Sobel operater and Otsu algorithm can both reflect the fluorescence intensity of images.ConclusionImage processing technology can effectively analyzes the process of photosensitizers absorbed by cells.