Targeting Microglia Could Help Extend the Recovery Window After Stroke

Stroke care has advanced most clearly in the acute phase: rapid reperfusion, prevention of edema, secondary prevention, and early rehabilitation. Yet for many patients, the most difficult clinical reality begins after stabilization. Neurological recovery often improves over weeks to months, then plateaus. Once that spontaneous recovery window closes, residual motor, language, or cognitive deficits may become permanent.

A study published in Nature now identifies a molecular mechanism that may help explain why this window narrows. Researchers led by Jun Tsuyama and Takashi Shichita, PhD, at the Institute of Science Tokyo found that microglia, the brain’s resident immune cells, can remain in the post-stroke brain after losing their reparative function. The team identified ZFP384 as a transcriptional regulator that suppresses the microglial repair program and showed that blocking it with an antisense oligonucleotide improved long-term recovery in mouse models of ischemic stroke.

A repair program that fades too soon

Microglia are often discussed in the context of neuroinflammation, but their role after stroke is not uniformly harmful. In the acute phase, activated myeloid cells contribute to inflammatory injury. During recovery, however, microglia can shift toward a reparative state, producing neurotrophic and tissue-supportive factors that contribute to remyelination, synaptic remodeling, and functional improvement.

One of the key markers in this study was insulin-like growth factor 1, or IGF1, a neurotrophic factor produced by reparative microglia. IGF1 has known roles in synaptogenesis, oligodendrocyte function, and myelin repair. The researchers used IGF1 expression to track microglia involved in the recovery phase after ischemic stroke.

“We aimed to identify the molecular mechanism responsible for diminishing microglial reparative functions,” Tsuyama said in the press release.

The central observation was clinically relevant: reparative microglia did not simply disappear. Instead, lineage-tracing experiments showed that cells which had once expressed repair-associated genes persisted in the peri-infarct region but later lost that gene-expression program. In mice, recovery-associated gene expression rose after stroke and then declined toward baseline by around day 28. The cells remained, but their reparative identity faded.

ZFP384 as a brake on microglial repair

To identify what shuts down this repair state, the researchers combined RNA sequencing, single-cell RNA sequencing, ATAC-seq, and transcription-factor analysis. A protein known as ZFP384 emerged as a candidate regulator whose expression increased as the microglial repair program declined.

Functionally, ZFP384 acted as a brake. Overexpression of Zfp384 reduced Igf1 expression in microglial cells, while genetic deletion of Zfp384 in microglia sustained recovery-associated gene expression after stroke. Mice lacking Zfp384 specifically in microglia showed better long-term neurological outcomes on behavioral tests, without significant differences in infarct volume, cerebral blood flow, or survival.

That distinction is important. The intervention did not appear to reduce the initial ischemic injury. Instead, it improved the recovery phase, suggesting a therapeutic concept distinct from acute neuroprotection.

Mechanistically, the study links ZFP384 to disruption of YY1-mediated chromatin interactions. YY1 helped maintain enhancer–promoter contacts required for recovery-associated gene expression, including at the Igf1 locus. As ZFP384 increased, it displaced this repair-permissive chromatin organization, shifting microglia toward a dysfunctional state.

The authors describe this as a strategy to “prevent the loss of reparative immunity,” preserving beneficial immune-cell functions rather than broadly suppressing inflammation.

Antisense therapy improved recovery in mice

The translational component of the study used antisense oligonucleotides (ASO) designed to reduce Zfp384 expression. After intracerebroventricular administration, the ASO was taken up by microglia and reduced Zfp384 mRNA expression.

When ASO-Zfp384 was administered on days 8 and 22 after stroke onset, mice showed improved neurological recovery compared with controls. Notably, benefit was also observed when treatment began on day 29, suggesting that the approach may influence the chronic recovery phase in this mouse model rather than only early repair.

The biological readouts supported the behavioral findings. ASO-Zfp384 sustained microglial recovery-associated gene expression, increased IGF1-positive microglia in peri-infarct tissue, and promoted broader neural repair signatures in oligodendrocyte precursor cells, excitatory neurons, and astrocytes. Treated mice showed improved myelination, enhanced white matter conduction, and increased synaptic markers including synaptophysin and PSD95.

Neutralizing IGF1 or SPP1 reduced the recovery benefit, strengthening the conclusion that microglial neurotrophic factors were functionally involved.

Human tissue supports the pathway

The researchers also examined human post-mortem brain tissue from patients who had experienced ischemic stroke. In peri-infarct regions, IGF1-positive IBA1-positive cells were more abundant early after stroke and declined later. ZNF384, the human orthologue of mouse ZFP384, showed the opposite pattern, increasing later in the recovery period.

The inverse relationship between IGF1 and ZNF384 supports the relevance of the pathway in human stroke biology, although it remains correlative. The human samples do not show that ZNF384 inhibition would improve patient outcomes, but they indicate that the same molecular pattern observed in mice may also occur in the human post-stroke brain.

Implications for rehabilitation medicine

The findings point to a therapeutic space that remains underdeveloped: enhancing recovery after the acute phase. Rehabilitation depends on plasticity, remyelination, and circuit remodeling, but current pharmacological options to extend or potentiate this biology are limited.

A therapy that sustains reparative microglia could, in principle, complement rehabilitation by keeping the peri-infarct environment more permissive for repair. That would represent a different clinical goal from thrombolysis, thrombectomy, or anti-inflammatory intervention. Rather than rescuing threatened tissue in the first hours, the aim would be to improve the quality and duration of recovery over subsequent weeks.

The study remains preclinical. Delivery route, dose, safety, timing, durability, and patient selection all require further work. The mouse model cannot capture the full heterogeneity of human stroke, including lesion location, age, comorbidities, vascular risk, rehabilitation intensity, and medication use. Sustaining immune-mediated repair also needs careful safety evaluation, because prolonged activation of tissue-resident immune cells could have context-dependent risks.

Still, the concept is compelling. Microglia are not merely inflammatory cells to inhibit; they can be repair partners whose beneficial state may be actively preserved. If ZFP384-targeted approaches prove safe and effective in larger models, they could open a new class of post-stroke recovery therapies focused on extending the brain’s own repair window.

As Tsuyama put it, “sustaining the brain’s endogenous repair program” may create opportunities to reduce permanent neurological symptoms during rehabilitation.

The post Targeting Microglia Could Help Extend the Recovery Window After Stroke appeared first on Inside Precision Medicine.

STAT+: Dementia study replicates promising outcomes following risk-reduction strategies

This is the web edition of STAT’s AAIC in 30 newsletter. Sign up to get it in your inbox here.

Hi there from Day 2 of AAIC. There may be 10,200 people here at the Alzheimer’s Association International Conference — up 1,700 from last year — from 115 countries, as the association’s Maria Carrillo announced at Monday’s plenary session. But by far my favorite person is the woman I saw taking a nap on a bench in a corridor, her sunhat pulled over her eyes. You are an inspiration.

One housekeeping note: Due to the vagaries of newsletter scheduling, we won’t have an edition tomorrow, but will be back in your inbox with a wrap-up edition on Wednesday. Keep your eyes on statnews.com tomorrow though and expect some conference news around 9:15 a.m. Eastern.

Latin American study praised as ‘landmark’ effort

For a disease that’s proven as intractable to treat as Alzheimer’s, it’s been known for quite some time what factors can heighten one’s risk for dementia. Poor nutrition, sleep, and cardiovascular health; a lack of physical activity and social engagement; and lower education levels all increase the likelihood that a person will develop Alzheimer’s.

A study reported at last year’s AAIC put interventions designed to reduce risk to the test. The U.S. Pointer study found that an intensive, structured program that encouraged improved diet and exercise, cardiovascular health monitoring, and other steps helped protect cognitive function among older adults at risk of dementia to a greater extent than a lower-intensity program that participants navigated on their own, even as both groups saw benefits. The study underscored that healthy habits contribute to a healthy brain.

Continue to STAT+ to read the full story…

AI Agents Are Coming: 5-Stage Taxonomy of Language-Based AI Systems for Psychiatry, Psychotherapy, and Counseling

The rapid evolution of large language models has accelerated the development of agentic artificial intelligence (AI) systems capable of pursuing autonomous goals, creating an urgent need for structural frameworks in psychiatry and psychotherapy. While existing classifications often draw parallels to autonomous driving, this paper argues that the mental health domain requires a distinct, domain-specific theoretical foundation, as the 2 domains differ fundamentally in their semantic, ideographic, and epistemological demands. Furthermore, they differ in their end goals, for which we introduce terms such as agentic guidance capability. To guide clinicians and researchers through these developments, we propose a 5-stage taxonomy for language-based AI systems that differentiates technical functionality from clinical effectiveness. The taxonomy progresses from level 1 (knowledge level), in which systems perform static benchmark tasks, to level 2 (elementary level), characterized by dynamic engagement in specific therapeutic microskills. At level 3 (integration level), systems achieve consistency across and within modules, as well as basic case-level conceptualization suitable for blended therapy under human oversight. Level 4 (saturation level) describes therapist-in-the-loop systems capable of autonomous functioning with minimal supervision, whereas level 5 (mastery level) represents AI systems that are technically capable of performing autonomous therapy. By distinguishing technical functionality from clinical effectiveness, we conclude that level 4 or level 5 performance does not automatically translate into full treatment effectiveness, even if high treatment fidelity can be achieved. We conclude by emphasizing the need to shift benchmarking from static knowledge tests to dynamic evaluations of therapeutic capabilities in order to safely navigate the transition toward autonomous care.
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Prevalence and predictors of HCV infection among hospitalized psychiatric patients in Poland

BackgroundPatients with mental disorders are at increased risk of hepatitis C virus (HCV) infection, yet the prevalence of HCV among patients in Polish psychiatric ward remains unknown.MethodsA cross-sectional survey was conducted in Poland from 2021 to 2023 in psychiatric wards. Adults recently hospitalized with at least one current mental health condition were eligible and 12–897 individuals were tested for anti HCV antibodies. Patients with confirmed active HCV infection (subsequent nucleic acid testing) were offered treatment.ResultsOf the 12,897 individuals who constituted the sample, 64% were male, and the median age was 45 years (interquartile range: 35–58 years). Among those subjects, 226 patients (representing 1.8% of the total) exhibited a positive HCV antibody test result, and 172 of these patients had active HCV infection (the prevalence of 1.3%). Multivariate analysis identified five risk factors for HCV infection within the investigated population: intravenous drug use (odds ratio [OR] = 9.40; 95% confidence interval [CI]: 6.12–14.44; p<0.001), diagnosed and treated liver disease (OR = 6.17; 95% CI: 4.10–9.26; p < 0.001); blood transfusions prior to 1992 (OR = 2.61; 95% CI: 1.29–5.28; p=0.008), diagnosis of mental and behavioral disorders due to psychoactive substance abuse (OR = 1.97; 95% CI: 1.34–2.91; p=0.001) and previous incarceration (OR = 1.62; 95% CI: 1.08–2.43, p=0.018).ConclusionsHigh prevalence of HCV infection in patients with mental health disorders and specifically in patients who used intravenous drugs suggests the importance of screening for HCV in this vulnerable population.

Family caregivers’ involvement in home-based recovery for patients with schizophrenia: a qualitative study in Beijing, China

BackgroundFamily caregivers play critical roles in supporting the home-based recovery of patients with schizophrenia, but they often encounter substantial challenges and receive insufficient systemic support. Understanding caregivers’ involvement in home-based recovery is essential for aligning community mental health services with families’ capacities and needs. This study aimed to explore family caregivers’ involvement and adaptive processes in supporting home-based recovery of patients with schizophrenia in China.MethodsA qualitative study using interpretative phenomenological analysis was conducted through semi-structured interviews. Family caregivers were purposively recruited from four community health service centers (CHSCs) across urban and rural areas of Beijing. All interviews were audio-recorded, transcribed verbatim, anonymized, and analyzed iteratively to identify themes and subthemes.ResultsA total of 20 family caregivers were recruited, including 11 from two urban districts and 9 from a rural district in Beijing. Five themes were identified: Caregivers’ redefinition of recovery as stability rather than cure; Routine recovery involvement in medication management and symptom monitoring; Experienced tensions between the patient’s independence and relapse prevention; Bearing family obligation and personal strain in sustained caregiving involvement; and Uncertainty in sustaining caregiving and the patients’ future stability. Caregivers reported persistent challenges in supporting patients’ independent living, participation in family activities, communication, and social interaction.ConclusionFamily caregivers gradually develop their capacity to support home-based recovery, but continue to encounter complex challenges while receiving limited support from CHSCs. Strengthening recovery-oriented family support within community mental health services, particularly through accessible psychoeducation and rehabilitation guidance, may enhance caregivers’ capacity to support patients’ independence and social participation, thereby promoting sustainable home-based care and long-term functional recovery.

Case Report: A novel de novo heterozygous truncating mutation in MED12L identified in a Chinese autistic boy

BackgroundAutism spectrum disorder (ASD) is a highly heterogeneous neurodevelopmental disorder. A previous study by Nizon et al. indicated that some children with intellectual disability (ID) carrying de novo MED12L mutations exhibited mild to moderate autistic features. However, the relationship between MED12L and ASD remains unclear.Case presentationHere we reported a male child with severe autistic features carrying a novel de novo heterozygous truncating mutation of MED12L (NM_053002.5:c.586C>T, p.(Arg196Ter)). He was diagnosed with ASD according to ICD-11 and DSM-5 criteria. Clinical examination indicated that this child exhibited severe autistic features and several dysmorphic features, including a flat nasal bridge, bulbous nasal tip, thin upper lip, and triangular face. Magnetic resonance imaging (MRI) of the brain revealed an enlarged perivascular space in the right temporal lobe.ConclusionThis case demonstrates that this de novo heterozygous truncating mutation in MED12L may be involved in the development of ASD, and haploinsufficiency of MED12L may be associated with severe autistic features. Obvious clinical manifestations and dysmorphic features in this child with a truncating mutation in MED12L expand the phenotypic spectrum of MED12L-related cases and warrant further functional studies to elucidate the relationship between MED12L and ASD.

STAT+: HHS presses ahead with effort to curb antidepressant use

WASHINGTON — Health secretary Robert F. Kennedy Jr. is pressing forward with his effort to help Americans stop taking psychiatric drugs, a medical practice known as deprescribing.

Earlier this month, dozens of mental health professionals met with federal health officials to map out forthcoming clinical guidance they hope will help providers instruct patients on how to come off of antidepressant medications. While the Department of Health and Human Services has discussed plans to hold such a meeting, the outlines of the discussion haven’t been reported.

During those talks, they reviewed guidance from European nations and worked on recommendations for nonmedication-based options for patients to address their mental health, such as therapy. A senior HHS official said they discussed gaps in the research around deprescribing SSRIs, including the side effects a person may experience, which vary depending on the drug and how long the person was on it, and how to recognize the difference between those side effects and a return of a patient’s depressive symptoms.

Continue to STAT+ to read the full story…

HALO-TRIAL: High, Medium And LOw Intensity Psychotherapy for Binge Eating Disorder

Conditions: Binge Eating Disorder; Binge Eating Episodes; Binge Eating/Loss of Control Eating; Binge Eating Disorders; Binge Eating; Binge Eating Behaviour; Binge Eating Disorder Associated With Obesity; Eating Disorder Binge; Eating Disorders

Interventions: Behavioral: Cognitive Behavioral Therapy Enhanced – Individual; Behavioral: Cognitive Behavioral Therapy Enhanced – Group; Behavioral: Cognitive Behavioral Therapy – Guided Self Help; Behavioral: Systemic Narrative Therapy – Group

Sponsors: Herlev and Gentofte Hospital; Jascha Fonden; BETA-HEALTH Foundation; Mental Health Centre Ballerup; Region Capital Denmark; University of Copenhagen

Recruiting

Brain Scans Reveal Dopamine Damage in Long COVID, Pointing to New Treatments

New brain imaging research has provided the strongest evidence to date that long COVID is associated with injury to the brain’s dopamine system, offering a potential biological explanation for persistent symptoms such as fatigue, slowed movement, lack of motivation, and memory problems.

The study, published in eBioMedicine by researchers at the Centre for Addiction and Mental Health in Canada, used positron emission tomography (PET) imaging to examine dopamine-releasing neurons in people with long COVID. The findings suggest that reduced dopamine nerve terminal density in key brain regions may underlie many of the neurological symptoms experienced by patients and identify a potential therapeutic target for future treatments.

Long COVID is estimated to affect approximately nine million adults in the United States and about 5% of the global population, making it one of the most common chronic conditions to emerge from the COVID-19 pandemic. The condition is characterized by symptoms that persist for at least three months after the initial SARS-CoV-2 infection and commonly includes fatigue, brain fog, memory impairment, and mood changes. Despite its prevalence, there are currently no evidence-based treatments, largely because the biological mechanisms driving these symptoms remain poorly understood.

To investigate whether the brain’s dopamine system is involved, the researchers used PET imaging to measure a well-established marker of dopamine neuron integrity in individuals with long COVID and healthy control participants.

Compared with healthy volunteers, participants with long COVID had significantly lower levels of the dopamine neuron marker throughout the striatum, a brain region that plays a central role in motivation, movement, learning, and cognition. The reduced signal indicates a loss of dopamine nerve terminal density, providing direct evidence that dopamine-releasing neurons are injured in long COVID.

The imaging findings also closely matched patients’ clinical symptoms. Lower dopamine markers in the ventral striatum were associated with greater loss of motivation, reductions in the dorsal putamen correlated with slower movement, and lower marker levels in the caudate were linked to poorer memory performance. The pattern suggests that damage within specific regions of the dopamine system may contribute to distinct neurological symptoms experienced by people with long COVID.

The findings build on the research group’s earlier work demonstrating elevated inflammation in the brains of people with long COVID, particularly in regions rich in dopamine-producing neurons. Because inflammation is known to damage dopamine neurons in other neurological disorders, the new study provides direct evidence that this inflammatory process may be accompanied by measurable injury to the brain’s dopamine system. The close relationship between dopamine neuron loss and symptom severity further strengthens the case that dopamine dysfunction plays a central role in the condition.

The study also shifts attention beyond inflammation alone and suggests that long COVID should be considered, at least in part, a disorder affecting the brain’s dopamine system. That conclusion has important therapeutic implications because several medications already approved for other neurological disorders increase dopamine availability or enhance dopamine signaling. The researchers suggest that repurposing dopamine precursors or drugs that inhibit dopamine metabolism could represent a promising strategy for treating persistent cognitive and neurological symptoms associated with long COVID.

The findings also provide biological evidence supporting the experiences of people living with long COVID, many of whom have struggled for years with debilitating symptoms despite the absence of clear diagnostic markers. By demonstrating measurable injury to dopamine-releasing neurons, the study offers objective evidence that persistent neurological symptoms have a biological basis.

Building on these results, the investigators plan to launch a clinical trial in collaboration with University Health Network to evaluate whether therapies that improve dopamine function can reduce fatigue, improve motivation, and enhance memory in people with long COVID. If successful, the trial could pave the way for one of the first mechanism-based treatment approaches for the condition.

The post Brain Scans Reveal Dopamine Damage in Long COVID, Pointing to New Treatments appeared first on Inside Precision Medicine.

Digital Mental Health Research Priorities, Revisited for the AI and Large Language Model Era

Digital mental health has become an established part of mental health care, but the rapid arrival of large language models and other artificial intelligence tools has refocused attention on the evidence needed to guide the field. This editorial updates the research priorities articulated by JMIR Mental Health in 2023, while reaffirming their emphasis on equity, replicability, privacy, efficacy, and engagement. What has changed is not the importance of these priorities, but the urgency with which they must now be applied. As digital tools become more clinically consequential, research must move beyond demonstrating that a technology is feasible, usable, or novel. The field needs studies that clarify how these tools work, for whom they are beneficial, under what conditions they may cause harm, and how they can be responsibly integrated into care. We call for research that is transparent about the technologies being studied, grounded in meaningful clinical questions, attentive to safety and accountability, and designed to produce knowledge that remains useful as specific products and models change. The promise of digital mental health will depend less on the sophistication of emerging tools than on the quality of the evidence used to shape their role in care.
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