Objective: The variety and efficacy of biomarkers available that may be used objectively to diagnose major depressive disorder (MDD) in adults are unclear. This systematic review aims to identify and evaluate the variety of objective markers used to diagnose MDD in adults. Methods: The search strategy was applied via PubMed and PsycINFO over the past 10 years (2013–2023) to capture the latest available evidence supporting the use of biomarkers to diagnose MDD. Data was reported through narrative synthesis. Results: Forty-two studies were included in the review. Findings were synthesised based on the following measures: blood, neuroimagingeurophysiology, urine, dermatological, auditory, vocal, cerebrospinal fluid and combinatory—and evaluated based on its sensitivity/specificity and area under the curve values. The best predictors of blood (MYT1 gene), neuroimagingeurophysiological (5-HT1A auto-receptor binding in the dorsal and median raphe), urinary (combined albumin, AMBP, HSPB, APOA1), cerebrospinal fluid-based (neuron specific enolase, microRNA) biomarkers were found to be closely linked to the pathophysiology of MDD. Conclusion A large variety of biomarkers were available to diagnose MDD, with the best performing biomarkers intrinsically related to the pathophysiology of MDD. Potential for future research lies in investigating the joint sensitivity of the best performing biomarkers identified via machine learning methods and establishing the causal effect between these biomarkers and MDD.

Objective: The variety and efficacy of biomarkers available that may be used objectively to diagnose major depressive disorder (MDD) in adults are unclear. This systematic review aims to identify and evaluate the variety of objective markers used to diagnose MDD in adults. Methods: The search strategy was applied via PubMed and PsycINFO over the past 10 years (2013–2023) to capture the latest available evidence supporting the use of biomarkers to diagnose MDD. Data was reported through narrative synthesis. Results: Forty-two studies were included in the review. Findings were synthesised based on the following measures: blood, neuroimagingeurophysiology, urine, dermatological, auditory, vocal, cerebrospinal fluid and combinatory—and evaluated based on its sensitivity/specificity and area under the curve values. The best predictors of blood (MYT1 gene), neuroimagingeurophysiological (5-HT1A auto-receptor binding in the dorsal and median raphe), urinary (combined albumin, AMBP, HSPB, APOA1), cerebrospinal fluid-based (neuron specific enolase, microRNA) biomarkers were found to be closely linked to the pathophysiology of MDD. Conclusion A large variety of biomarkers were available to diagnose MDD, with the best performing biomarkers intrinsically related to the pathophysiology of MDD. Potential for future research lies in investigating the joint sensitivity of the best performing biomarkers identified via machine learning methods and establishing the causal effect between these biomarkers and MDD.

Objective: The variety and efficacy of biomarkers available that may be used objectively to diagnose major depressive disorder (MDD) in adults are unclear. This systematic review aims to identify and evaluate the variety of objective markers used to diagnose MDD in adults. Methods: The search strategy was applied via PubMed and PsycINFO over the past 10 years (2013–2023) to capture the latest available evidence supporting the use of biomarkers to diagnose MDD. Data was reported through narrative synthesis. Results: Forty-two studies were included in the review. Findings were synthesised based on the following measures: blood, neuroimagingeurophysiology, urine, dermatological, auditory, vocal, cerebrospinal fluid and combinatory—and evaluated based on its sensitivity/specificity and area under the curve values. The best predictors of blood (MYT1 gene), neuroimagingeurophysiological (5-HT1A auto-receptor binding in the dorsal and median raphe), urinary (combined albumin, AMBP, HSPB, APOA1), cerebrospinal fluid-based (neuron specific enolase, microRNA) biomarkers were found to be closely linked to the pathophysiology of MDD. Conclusion A large variety of biomarkers were available to diagnose MDD, with the best performing biomarkers intrinsically related to the pathophysiology of MDD. Potential for future research lies in investigating the joint sensitivity of the best performing biomarkers identified via machine learning methods and establishing the causal effect between these biomarkers and MDD.

Objective:To evaluate the effect of arctigenin (ARG) on cognitive dysfunction induced by sevoflurane anesthesia in aged rats and the role of autophagy-mediated pyroptosis.Methods:Fifty SPF male Sprague-Dawley rats, aged 18-20 months, weighing 550-600 g, were divided into 5 groups ( n=10 each) using a random number table method: control group (C group), sevoflurane anesthesia group (Sev group), sevoflurane anesthesia+ ARG group (Sev+ ARG group), sevoflurane anesthesia+ autophagy inducer rapamycin group (Sev+ RAPA group), and sevoflurane anesthesia+ ARG+ autophagy inhibitor 3-methyladenine (3-MA) group (Sev+ ARG+ 3-MA group). Except for group C, the rats in the other groups inhaled 6% sevoflurane for 3 h to establish the cognitive impairment model. At 30 min before anesthesia, ARG 20 mg/kg was intraperitoneally injected in Sev+ ARG group, rapamycin 7.5 mg/kg was intraperitoneally injected in Sev+ RAPA group, and ARG 20 mg/kg (dissolved in dimethyl sulfoxide) was intraperitoneally injected, followed by immediate intraperitoneal injection of 3-MA 1.5 mg/kg in Sev+ ARG+ 3-MA group. The equal volume of dimethyl sulfoxide was intraperitoneally injected in C group and Sev group. The Morris water maze test was conducted to assess the cognitive function at 48 h after the end of administration. After completion of the Morris water maze test, the hippocampal tissue was taken under deep anesthesia for observation of the pathological changes (after HE staining) which were scored and for determination of neuronal pyroptosis (after propidium iodide staining) and expression of neuronal autophagy-related proteins (microtubule-associated protein 1 light chain 3 [LC3], Beclin-1, p62), pyroptosis-related proteins (NOD-like receptor protein 3 [NLRP3], apoptosis-associated speck-like protein containing a CARD [ASC], pro-cysteine aspartate-specific protease 1 [pro-caspase-1], cleaved-caspase-1, gasdermin D [GSDMD], and N-terminal fragment of gasdermin D [GSDMD-N], interleukin-1β [IL-1β] and IL-18). Results:Compared with C group, the escape latency was significantly prolonged, the time of staying at the original platform quadrant was shortened, the number of crossing the original platform was reduced, the hippocampal injury score and neuronal pyroptosis rate were increased, LC3Ⅱ/LC3Ⅰ ratio was decreased, the expression of Beclin-1 was down-regulated, the expression of p62, NLRP3, ASC, IL-1β and IL-18 was up-regulated, and the cleaved-caspase-1/pro-caspase-1 ratio and GSDMD-N/GSDMD ratio were increased in Sev group ( P<0.05). Compared with Sev group, the escape latency was significantly shortened, the time of staying at the original platform quadrant was prolonged, the number of crossing the original platform was increased, the hippocampal injury score and neuronal pyroptosis rate were decreased, LC3Ⅱ/LC3Ⅰ ratio was increased, the expression of Beclin-1 was up-regulated, the expression of p62, NLRP3, ASC, IL-1β and IL-18 was down-regulated, and the cleaved-caspase-1/pro-caspase-1 ratio and GSDMD-N/GSDMD ratio were decreased in Sev+ ARG group and Sev+ RAPA group ( P<0.05). Compared with Sev+ ARG group, the escape latency was significantly prolonged, the time of staying at the original platform quadrant was shortened, the number of crossing the original platform was reduced, the hippocampal injury score and neuronal pyroptosis rate were increased, LC3Ⅱ/LC3Ⅰ ratio was decreased, the expression of Beclin-1 was down-regulated, the expression of p62, NLRP3, ASC, IL-1β and IL-18 was up-regulated, and the cleaved-caspase-1/pro-caspase-1 ratio and GSDMD-N/GSDMD ratio were increased in Sev+ ARG+ 3-MA group ( P<0.05). Conclusions:AGR can alleviate sevoflurane anesthesia-induced cognitive dysfunction in aged rats, and the mechanism is related to reduction of autophagy-mediated cell pyroptosis.

Objective:To investigate the relationship between oxygen consumption (VO 2), carbon dioxide production (VCO 2), and Oxygen Consumption/lactate (VO 2/Lac) with risk of death in patients with severe ARDS. Methods:A retrospective cohort study method was used, and the study subjects were hospitalized for >5 days adult patients with severe ARDS in the central intensive care unit of Henan Provincial People's Hospital from 1 March 2020 to 30 June 2023. The following patients were excluded: IC test was not completed on the 4th day of ICU admission, IC test results were unreliable, mechanical ventilation duration had exceeded 48 h at the time of ICU transfer or admission, palliative care patients and pregnant and parturient women. Using indirect calorimetry to determine VO 2 and VCO 2 values on the 4th day of admission, reviewing medical records to obtain general condition, disease information, blood gas analysis (including lactate value), diagnostic and therapeutic measures, and following up deaths by telephone and time of death. The primary outcome measure was death at 90 days, and the secondary outcome measure was death at 28 days, length of stay in ICU, total length of stay, and total hospitalization cost. Cox regression analysis and linear regression analysis were used to investigate the relationship between VO 2, VCO 2, VO 2/Lac and primary and secondary outcome indexes. Results:A total of 216 patients were enrolled, 78 patients (36.1%) died and 138 patients (63.9%) survived at 90 days. After correction for confounders, the results of multifactorial Cox regression analysis suggested that compared with the Q4 group, HR (95% CI) for 90-day risk of death in the VO 2 Q1 and Q2 groups was 3.21 (1.38, 7.49) and 3.24 (1.42, 7.38), and HR (95% CI) for 90-day risk of death in the VCO 2 Q1, Q2 and Q3 groups was 5.88 (2.33, 14.84), 4.26 (1. 60, 11.34) and 3.54 (1.34, 9.35), respectively, and the HR (95% CI) for 90-day risk of death in the VO 2/Lac Q1, Q2 and Q3 groups were 8.72 (3.01, 25.25), 8.43 (2.91, 24.47) and 4.04 (1.34, 12.17) respectively. P-trends were all <0.05, indicating that VO 2, VCO 2 and VO 2/Lac were linearly and negatively associated with the risk of 90-day mortality. In addition, VO 2, VCO 2, and VO 2/Lac were negatively associated with 28-day risk of death and higher VO 2/Lac was negatively associated with length of ICU stay. Conclusions:VO 2, VCO 2 and VO 2/Lac were negatively associated with 90-day mortality risk and 28-day mortality risk in patients with severe ARDS and may be independent risk factors predicting mortality risk of such patients.

Objective: The variety and efficacy of biomarkers available that may be used objectively to diagnose major depressive disorder (MDD) in adults are unclear. This systematic review aims to identify and evaluate the variety of objective markers used to diagnose MDD in adults. Methods: The search strategy was applied via PubMed and PsycINFO over the past 10 years (2013–2023) to capture the latest available evidence supporting the use of biomarkers to diagnose MDD. Data was reported through narrative synthesis. Results: Forty-two studies were included in the review. Findings were synthesised based on the following measures: blood, neuroimagingeurophysiology, urine, dermatological, auditory, vocal, cerebrospinal fluid and combinatory—and evaluated based on its sensitivity/specificity and area under the curve values. The best predictors of blood (MYT1 gene), neuroimagingeurophysiological (5-HT1A auto-receptor binding in the dorsal and median raphe), urinary (combined albumin, AMBP, HSPB, APOA1), cerebrospinal fluid-based (neuron specific enolase, microRNA) biomarkers were found to be closely linked to the pathophysiology of MDD. Conclusion A large variety of biomarkers were available to diagnose MDD, with the best performing biomarkers intrinsically related to the pathophysiology of MDD. Potential for future research lies in investigating the joint sensitivity of the best performing biomarkers identified via machine learning methods and establishing the causal effect between these biomarkers and MDD.

Objective: The variety and efficacy of biomarkers available that may be used objectively to diagnose major depressive disorder (MDD) in adults are unclear. This systematic review aims to identify and evaluate the variety of objective markers used to diagnose MDD in adults. Methods: The search strategy was applied via PubMed and PsycINFO over the past 10 years (2013–2023) to capture the latest available evidence supporting the use of biomarkers to diagnose MDD. Data was reported through narrative synthesis. Results: Forty-two studies were included in the review. Findings were synthesised based on the following measures: blood, neuroimagingeurophysiology, urine, dermatological, auditory, vocal, cerebrospinal fluid and combinatory—and evaluated based on its sensitivity/specificity and area under the curve values. The best predictors of blood (MYT1 gene), neuroimagingeurophysiological (5-HT1A auto-receptor binding in the dorsal and median raphe), urinary (combined albumin, AMBP, HSPB, APOA1), cerebrospinal fluid-based (neuron specific enolase, microRNA) biomarkers were found to be closely linked to the pathophysiology of MDD. Conclusion A large variety of biomarkers were available to diagnose MDD, with the best performing biomarkers intrinsically related to the pathophysiology of MDD. Potential for future research lies in investigating the joint sensitivity of the best performing biomarkers identified via machine learning methods and establishing the causal effect between these biomarkers and MDD.

Objective To investigate the prognostic differences among pure urothelial carcinoma,squamous-differentiated urothelial carcinoma,and pure squamous cell carcinoma,so as to provide reference for postoperative risk stratification.Methods The clinical data of bladder cancer patients who visited the Department of Urology,Peking University First Hospital and underwent radical cystectomy during Jan.2005 and Jun.2024 were retrospectively analyzed.Patients were categorized into the pure urothelial carcinoma group(n=725),squamous-differentiated urothelial carcinoma group(n=189),and pure squamous cell carcinoma group(n=36).General characteristics,surgical approaches,pathological staging,muscle invasion status,and lymph node positivity were compared among the three groups.Kaplan-Meier survival curves were plotted,and prognostic differences among the groups were compared after 1∶1 propensity score matching between each pair.Independent risk factors of prognosis were identified with Cox multivariable regression.Results The pure squamous cell carcinoma group had a higher proportion of female patients(50.00％vs.25.24％vs.22.75％,P=0.002 4).Compared with the pure urothelial carcinoma group,the other two groups demonstrated higher proportions of stage Ⅲ+Ⅳ,higher rates of muscle invasion,and higher lymph node positivity,with the pure squamous cell carcinoma group showing the highest overall staging(69.45％vs.58.20％vs.29.38％,P＜0.000 1).Kaplan-Meier analysis showed that squamous-differentiated urothelial carcinoma group and pure squamous cell carcinoma group had significantly worse survival than the pure urothelial carcinoma group(P＜0.05),while the former two groups exhibited similar outcomes(P=0.85).After propensity score matching,postoperative survival curves among the three groups were not significantly different(all P＞0.05).In multivariable Cox proportional hazards models adjusting for confounders,prognosis was primarily associated with age,muscle invasion,and lymph-node positivity(P＜0.05);pathological subtype was not an independent predictor of postoperative survival.Conclusion In a cohort of non-metastatic patients undergoing radical cystectomy,pure squamous cell carcinoma and squamous-differentiated urothelial carcinoma presented with higher clinical and pathological staging and poorer unadjusted prognosis compared with pure urothelial carcinoma.However,postoperative survival did not differ significantly among the three groups in the same clinicopathological conditions.

Objective:To evaluate the effect of arctigenin (ARG) on cognitive dysfunction induced by sevoflurane anesthesia in aged rats and the role of autophagy-mediated pyroptosis.Methods:Fifty SPF male Sprague-Dawley rats, aged 18-20 months, weighing 550-600 g, were divided into 5 groups ( n=10 each) using a random number table method: control group (C group), sevoflurane anesthesia group (Sev group), sevoflurane anesthesia+ ARG group (Sev+ ARG group), sevoflurane anesthesia+ autophagy inducer rapamycin group (Sev+ RAPA group), and sevoflurane anesthesia+ ARG+ autophagy inhibitor 3-methyladenine (3-MA) group (Sev+ ARG+ 3-MA group). Except for group C, the rats in the other groups inhaled 6% sevoflurane for 3 h to establish the cognitive impairment model. At 30 min before anesthesia, ARG 20 mg/kg was intraperitoneally injected in Sev+ ARG group, rapamycin 7.5 mg/kg was intraperitoneally injected in Sev+ RAPA group, and ARG 20 mg/kg (dissolved in dimethyl sulfoxide) was intraperitoneally injected, followed by immediate intraperitoneal injection of 3-MA 1.5 mg/kg in Sev+ ARG+ 3-MA group. The equal volume of dimethyl sulfoxide was intraperitoneally injected in C group and Sev group. The Morris water maze test was conducted to assess the cognitive function at 48 h after the end of administration. After completion of the Morris water maze test, the hippocampal tissue was taken under deep anesthesia for observation of the pathological changes (after HE staining) which were scored and for determination of neuronal pyroptosis (after propidium iodide staining) and expression of neuronal autophagy-related proteins (microtubule-associated protein 1 light chain 3 [LC3], Beclin-1, p62), pyroptosis-related proteins (NOD-like receptor protein 3 [NLRP3], apoptosis-associated speck-like protein containing a CARD [ASC], pro-cysteine aspartate-specific protease 1 [pro-caspase-1], cleaved-caspase-1, gasdermin D [GSDMD], and N-terminal fragment of gasdermin D [GSDMD-N], interleukin-1β [IL-1β] and IL-18). Results:Compared with C group, the escape latency was significantly prolonged, the time of staying at the original platform quadrant was shortened, the number of crossing the original platform was reduced, the hippocampal injury score and neuronal pyroptosis rate were increased, LC3Ⅱ/LC3Ⅰ ratio was decreased, the expression of Beclin-1 was down-regulated, the expression of p62, NLRP3, ASC, IL-1β and IL-18 was up-regulated, and the cleaved-caspase-1/pro-caspase-1 ratio and GSDMD-N/GSDMD ratio were increased in Sev group ( P<0.05). Compared with Sev group, the escape latency was significantly shortened, the time of staying at the original platform quadrant was prolonged, the number of crossing the original platform was increased, the hippocampal injury score and neuronal pyroptosis rate were decreased, LC3Ⅱ/LC3Ⅰ ratio was increased, the expression of Beclin-1 was up-regulated, the expression of p62, NLRP3, ASC, IL-1β and IL-18 was down-regulated, and the cleaved-caspase-1/pro-caspase-1 ratio and GSDMD-N/GSDMD ratio were decreased in Sev+ ARG group and Sev+ RAPA group ( P<0.05). Compared with Sev+ ARG group, the escape latency was significantly prolonged, the time of staying at the original platform quadrant was shortened, the number of crossing the original platform was reduced, the hippocampal injury score and neuronal pyroptosis rate were increased, LC3Ⅱ/LC3Ⅰ ratio was decreased, the expression of Beclin-1 was down-regulated, the expression of p62, NLRP3, ASC, IL-1β and IL-18 was up-regulated, and the cleaved-caspase-1/pro-caspase-1 ratio and GSDMD-N/GSDMD ratio were increased in Sev+ ARG+ 3-MA group ( P<0.05). Conclusions:AGR can alleviate sevoflurane anesthesia-induced cognitive dysfunction in aged rats, and the mechanism is related to reduction of autophagy-mediated cell pyroptosis.